| @@ -1,7 +1,7 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 | Created on Feb 7, 2012 |
|
2 | Created on Feb 7, 2012 | |
| 3 |
|
3 | |||
| 4 | @author $Author$ |
|
4 | @author $Author$ | |
| 5 | @version $Id$ |
|
5 | @version $Id$ | |
| 6 | ''' |
|
6 | ''' | |
| 7 |
__version__ = |
|
7 | __version__ = '2.3' | |
| @@ -1,782 +1,783 | |||||
| 1 |
|
1 | |||
| 2 | import os |
|
2 | import os | |
| 3 | import time |
|
3 | import time | |
| 4 | import glob |
|
4 | import glob | |
| 5 | import datetime |
|
5 | import datetime | |
| 6 | from multiprocessing import Process |
|
6 | from multiprocessing import Process | |
| 7 |
|
7 | |||
| 8 | import zmq |
|
8 | import zmq | |
| 9 | import numpy |
|
9 | import numpy | |
| 10 | import matplotlib |
|
10 | import matplotlib | |
| 11 | import matplotlib.pyplot as plt |
|
11 | import matplotlib.pyplot as plt | |
| 12 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
12 | from mpl_toolkits.axes_grid1 import make_axes_locatable | |
| 13 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator |
|
13 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator | |
| 14 |
|
14 | |||
| 15 | from schainpy.model.proc.jroproc_base import Operation |
|
15 | from schainpy.model.proc.jroproc_base import Operation | |
| 16 | from schainpy.utils import log |
|
16 | from schainpy.utils import log | |
| 17 |
|
17 | |||
| 18 | func = lambda x, pos: ('%s') %(datetime.datetime.fromtimestamp(x).strftime('%H:%M')) |
|
18 | func = lambda x, pos: ('%s') %(datetime.datetime.fromtimestamp(x).strftime('%H:%M')) | |
| 19 |
|
19 | |||
| 20 | d1970 = datetime.datetime(1970, 1, 1) |
|
20 | d1970 = datetime.datetime(1970, 1, 1) | |
| 21 |
|
21 | |||
| 22 |
|
22 | |||
| 23 | class PlotData(Operation, Process): |
|
23 | class PlotData(Operation, Process): | |
| 24 | ''' |
|
24 | ''' | |
| 25 | Base class for Schain plotting operations |
|
25 | Base class for Schain plotting operations | |
| 26 | ''' |
|
26 | ''' | |
| 27 |
|
27 | |||
| 28 | CODE = 'Figure' |
|
28 | CODE = 'Figure' | |
| 29 | colormap = 'jro' |
|
29 | colormap = 'jro' | |
| 30 | bgcolor = 'white' |
|
30 | bgcolor = 'white' | |
| 31 | CONFLATE = False |
|
31 | CONFLATE = False | |
| 32 | __MAXNUMX = 80 |
|
32 | __MAXNUMX = 80 | |
| 33 | __missing = 1E30 |
|
33 | __missing = 1E30 | |
| 34 |
|
34 | |||
| 35 | def __init__(self, **kwargs): |
|
35 | def __init__(self, **kwargs): | |
| 36 |
|
36 | |||
| 37 | Operation.__init__(self, plot=True, **kwargs) |
|
37 | Operation.__init__(self, plot=True, **kwargs) | |
| 38 | Process.__init__(self) |
|
38 | Process.__init__(self) | |
| 39 | self.kwargs['code'] = self.CODE |
|
39 | self.kwargs['code'] = self.CODE | |
| 40 | self.mp = False |
|
40 | self.mp = False | |
| 41 | self.data = None |
|
41 | self.data = None | |
| 42 | self.isConfig = False |
|
42 | self.isConfig = False | |
| 43 | self.figures = [] |
|
43 | self.figures = [] | |
| 44 | self.axes = [] |
|
44 | self.axes = [] | |
| 45 | self.cb_axes = [] |
|
45 | self.cb_axes = [] | |
| 46 | self.localtime = kwargs.pop('localtime', True) |
|
46 | self.localtime = kwargs.pop('localtime', True) | |
| 47 | self.show = kwargs.get('show', True) |
|
47 | self.show = kwargs.get('show', True) | |
| 48 | self.save = kwargs.get('save', False) |
|
48 | self.save = kwargs.get('save', False) | |
| 49 | self.colormap = kwargs.get('colormap', self.colormap) |
|
49 | self.colormap = kwargs.get('colormap', self.colormap) | |
| 50 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') |
|
50 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') | |
| 51 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') |
|
51 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') | |
| 52 | self.colormaps = kwargs.get('colormaps', None) |
|
52 | self.colormaps = kwargs.get('colormaps', None) | |
| 53 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) |
|
53 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) | |
| 54 | self.showprofile = kwargs.get('showprofile', False) |
|
54 | self.showprofile = kwargs.get('showprofile', False) | |
| 55 | self.title = kwargs.get('wintitle', self.CODE.upper()) |
|
55 | self.title = kwargs.get('wintitle', self.CODE.upper()) | |
| 56 | self.cb_label = kwargs.get('cb_label', None) |
|
56 | self.cb_label = kwargs.get('cb_label', None) | |
| 57 | self.cb_labels = kwargs.get('cb_labels', None) |
|
57 | self.cb_labels = kwargs.get('cb_labels', None) | |
| 58 | self.xaxis = kwargs.get('xaxis', 'frequency') |
|
58 | self.xaxis = kwargs.get('xaxis', 'frequency') | |
| 59 | self.zmin = kwargs.get('zmin', None) |
|
59 | self.zmin = kwargs.get('zmin', None) | |
| 60 | self.zmax = kwargs.get('zmax', None) |
|
60 | self.zmax = kwargs.get('zmax', None) | |
| 61 | self.zlimits = kwargs.get('zlimits', None) |
|
61 | self.zlimits = kwargs.get('zlimits', None) | |
| 62 | self.xmin = kwargs.get('xmin', None) |
|
62 | self.xmin = kwargs.get('xmin', None) | |
| 63 | if self.xmin is not None: |
|
63 | if self.xmin is not None: | |
| 64 | self.xmin += 5 |
|
64 | self.xmin += 5 | |
| 65 | self.xmax = kwargs.get('xmax', None) |
|
65 | self.xmax = kwargs.get('xmax', None) | |
| 66 | self.xrange = kwargs.get('xrange', 24) |
|
66 | self.xrange = kwargs.get('xrange', 24) | |
| 67 | self.ymin = kwargs.get('ymin', None) |
|
67 | self.ymin = kwargs.get('ymin', None) | |
| 68 | self.ymax = kwargs.get('ymax', None) |
|
68 | self.ymax = kwargs.get('ymax', None) | |
| 69 | self.xlabel = kwargs.get('xlabel', None) |
|
69 | self.xlabel = kwargs.get('xlabel', None) | |
| 70 | self.__MAXNUMY = kwargs.get('decimation', 100) |
|
70 | self.__MAXNUMY = kwargs.get('decimation', 100) | |
| 71 | self.showSNR = kwargs.get('showSNR', False) |
|
71 | self.showSNR = kwargs.get('showSNR', False) | |
| 72 | self.oneFigure = kwargs.get('oneFigure', True) |
|
72 | self.oneFigure = kwargs.get('oneFigure', True) | |
| 73 | self.width = kwargs.get('width', None) |
|
73 | self.width = kwargs.get('width', None) | |
| 74 | self.height = kwargs.get('height', None) |
|
74 | self.height = kwargs.get('height', None) | |
| 75 | self.colorbar = kwargs.get('colorbar', True) |
|
75 | self.colorbar = kwargs.get('colorbar', True) | |
| 76 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) |
|
76 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) | |
| 77 | self.titles = ['' for __ in range(16)] |
|
77 | self.titles = ['' for __ in range(16)] | |
| 78 |
|
78 | |||
| 79 | def __setup(self): |
|
79 | def __setup(self): | |
| 80 | ''' |
|
80 | ''' | |
| 81 | Common setup for all figures, here figures and axes are created |
|
81 | Common setup for all figures, here figures and axes are created | |
| 82 | ''' |
|
82 | ''' | |
| 83 |
|
83 | |||
| 84 | self.setup() |
|
84 | self.setup() | |
| 85 |
|
85 | |||
| 86 | if self.width is None: |
|
86 | if self.width is None: | |
| 87 | self.width = 8 |
|
87 | self.width = 8 | |
| 88 |
|
88 | |||
| 89 | self.figures = [] |
|
89 | self.figures = [] | |
| 90 | self.axes = [] |
|
90 | self.axes = [] | |
| 91 | self.cb_axes = [] |
|
91 | self.cb_axes = [] | |
| 92 | self.pf_axes = [] |
|
92 | self.pf_axes = [] | |
| 93 | self.cmaps = [] |
|
93 | self.cmaps = [] | |
| 94 |
|
94 | |||
| 95 | size = '15%' if self.ncols==1 else '30%' |
|
95 | size = '15%' if self.ncols==1 else '30%' | |
| 96 | pad = '4%' if self.ncols==1 else '8%' |
|
96 | pad = '4%' if self.ncols==1 else '8%' | |
| 97 |
|
97 | |||
| 98 | if self.oneFigure: |
|
98 | if self.oneFigure: | |
| 99 | if self.height is None: |
|
99 | if self.height is None: | |
| 100 | self.height = 1.4*self.nrows + 1 |
|
100 | self.height = 1.4*self.nrows + 1 | |
| 101 | fig = plt.figure(figsize=(self.width, self.height), |
|
101 | fig = plt.figure(figsize=(self.width, self.height), | |
| 102 | edgecolor='k', |
|
102 | edgecolor='k', | |
| 103 | facecolor='w') |
|
103 | facecolor='w') | |
| 104 | self.figures.append(fig) |
|
104 | self.figures.append(fig) | |
| 105 | for n in range(self.nplots): |
|
105 | for n in range(self.nplots): | |
| 106 | ax = fig.add_subplot(self.nrows, self.ncols, n+1) |
|
106 | ax = fig.add_subplot(self.nrows, self.ncols, n+1) | |
| 107 | ax.tick_params(labelsize=8) |
|
107 | ax.tick_params(labelsize=8) | |
| 108 | ax.firsttime = True |
|
108 | ax.firsttime = True | |
| 109 | self.axes.append(ax) |
|
109 | self.axes.append(ax) | |
| 110 | if self.showprofile: |
|
110 | if self.showprofile: | |
| 111 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
111 | cax = self.__add_axes(ax, size=size, pad=pad) | |
| 112 | cax.tick_params(labelsize=8) |
|
112 | cax.tick_params(labelsize=8) | |
| 113 | self.pf_axes.append(cax) |
|
113 | self.pf_axes.append(cax) | |
| 114 | else: |
|
114 | else: | |
| 115 | if self.height is None: |
|
115 | if self.height is None: | |
| 116 | self.height = 3 |
|
116 | self.height = 3 | |
| 117 | for n in range(self.nplots): |
|
117 | for n in range(self.nplots): | |
| 118 | fig = plt.figure(figsize=(self.width, self.height), |
|
118 | fig = plt.figure(figsize=(self.width, self.height), | |
| 119 | edgecolor='k', |
|
119 | edgecolor='k', | |
| 120 | facecolor='w') |
|
120 | facecolor='w') | |
| 121 | ax = fig.add_subplot(1, 1, 1) |
|
121 | ax = fig.add_subplot(1, 1, 1) | |
| 122 | ax.tick_params(labelsize=8) |
|
122 | ax.tick_params(labelsize=8) | |
| 123 | ax.firsttime = True |
|
123 | ax.firsttime = True | |
| 124 | self.figures.append(fig) |
|
124 | self.figures.append(fig) | |
| 125 | self.axes.append(ax) |
|
125 | self.axes.append(ax) | |
| 126 | if self.showprofile: |
|
126 | if self.showprofile: | |
| 127 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
127 | cax = self.__add_axes(ax, size=size, pad=pad) | |
| 128 | cax.tick_params(labelsize=8) |
|
128 | cax.tick_params(labelsize=8) | |
| 129 | self.pf_axes.append(cax) |
|
129 | self.pf_axes.append(cax) | |
| 130 |
|
130 | |||
| 131 | for n in range(self.nrows): |
|
131 | for n in range(self.nrows): | |
| 132 | if self.colormaps is not None: |
|
132 | if self.colormaps is not None: | |
| 133 | cmap = plt.get_cmap(self.colormaps[n]) |
|
133 | cmap = plt.get_cmap(self.colormaps[n]) | |
| 134 | else: |
|
134 | else: | |
| 135 | cmap = plt.get_cmap(self.colormap) |
|
135 | cmap = plt.get_cmap(self.colormap) | |
| 136 | cmap.set_bad(self.bgcolor, 1.) |
|
136 | cmap.set_bad(self.bgcolor, 1.) | |
| 137 | self.cmaps.append(cmap) |
|
137 | self.cmaps.append(cmap) | |
| 138 |
|
138 | |||
| 139 | def __add_axes(self, ax, size='30%', pad='8%'): |
|
139 | def __add_axes(self, ax, size='30%', pad='8%'): | |
| 140 | ''' |
|
140 | ''' | |
| 141 | Add new axes to the given figure |
|
141 | Add new axes to the given figure | |
| 142 | ''' |
|
142 | ''' | |
| 143 | divider = make_axes_locatable(ax) |
|
143 | divider = make_axes_locatable(ax) | |
| 144 | nax = divider.new_horizontal(size=size, pad=pad) |
|
144 | nax = divider.new_horizontal(size=size, pad=pad) | |
| 145 | ax.figure.add_axes(nax) |
|
145 | ax.figure.add_axes(nax) | |
| 146 | return nax |
|
146 | return nax | |
| 147 |
|
147 | |||
|
|
148 | self.setup() | |||
| 148 |
|
149 | |||
| 149 | def setup(self): |
|
150 | def setup(self): | |
| 150 | ''' |
|
151 | ''' | |
| 151 | This method should be implemented in the child class, the following |
|
152 | This method should be implemented in the child class, the following | |
| 152 | attributes should be set: |
|
153 | attributes should be set: | |
| 153 |
|
154 | |||
| 154 | self.nrows: number of rows |
|
155 | self.nrows: number of rows | |
| 155 | self.ncols: number of cols |
|
156 | self.ncols: number of cols | |
| 156 | self.nplots: number of plots (channels or pairs) |
|
157 | self.nplots: number of plots (channels or pairs) | |
| 157 | self.ylabel: label for Y axes |
|
158 | self.ylabel: label for Y axes | |
| 158 | self.titles: list of axes title |
|
159 | self.titles: list of axes title | |
| 159 |
|
160 | |||
| 160 | ''' |
|
161 | ''' | |
| 161 | raise(NotImplementedError, 'Implement this method in child class') |
|
162 | raise(NotImplementedError, 'Implement this method in child class') | |
| 162 |
|
163 | |||
| 163 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
|
164 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): | |
| 164 | ''' |
|
165 | ''' | |
| 165 | Create a masked array for missing data |
|
166 | Create a masked array for missing data | |
| 166 | ''' |
|
167 | ''' | |
| 167 | if x_buffer.shape[0] < 2: |
|
168 | if x_buffer.shape[0] < 2: | |
| 168 | return x_buffer, y_buffer, z_buffer |
|
169 | return x_buffer, y_buffer, z_buffer | |
| 169 |
|
170 | |||
| 170 | deltas = x_buffer[1:] - x_buffer[0:-1] |
|
171 | deltas = x_buffer[1:] - x_buffer[0:-1] | |
| 171 | x_median = numpy.median(deltas) |
|
172 | x_median = numpy.median(deltas) | |
| 172 |
|
173 | |||
| 173 | index = numpy.where(deltas > 5*x_median) |
|
174 | index = numpy.where(deltas > 5*x_median) | |
| 174 |
|
175 | |||
| 175 | if len(index[0]) != 0: |
|
176 | if len(index[0]) != 0: | |
| 176 | z_buffer[::, index[0], ::] = self.__missing |
|
177 | z_buffer[::, index[0], ::] = self.__missing | |
| 177 | z_buffer = numpy.ma.masked_inside(z_buffer, |
|
178 | z_buffer = numpy.ma.masked_inside(z_buffer, | |
| 178 | 0.99*self.__missing, |
|
179 | 0.99*self.__missing, | |
| 179 | 1.01*self.__missing) |
|
180 | 1.01*self.__missing) | |
| 180 |
|
181 | |||
| 181 | return x_buffer, y_buffer, z_buffer |
|
182 | return x_buffer, y_buffer, z_buffer | |
| 182 |
|
183 | |||
| 183 | def decimate(self): |
|
184 | def decimate(self): | |
| 184 |
|
185 | |||
| 185 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
|
186 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 | |
| 186 | dy = int(len(self.y)/self.__MAXNUMY) + 1 |
|
187 | dy = int(len(self.y)/self.__MAXNUMY) + 1 | |
| 187 |
|
188 | |||
| 188 | # x = self.x[::dx] |
|
189 | # x = self.x[::dx] | |
| 189 | x = self.x |
|
190 | x = self.x | |
| 190 | y = self.y[::dy] |
|
191 | y = self.y[::dy] | |
| 191 | z = self.z[::, ::, ::dy] |
|
192 | z = self.z[::, ::, ::dy] | |
| 192 |
|
193 | |||
| 193 | return x, y, z |
|
194 | return x, y, z | |
| 194 |
|
195 | |||
| 195 | def format(self): |
|
196 | def format(self): | |
| 196 | ''' |
|
197 | ''' | |
| 197 | Set min and max values, labels, ticks and titles |
|
198 | Set min and max values, labels, ticks and titles | |
| 198 | ''' |
|
199 | ''' | |
| 199 |
|
200 | |||
| 200 | if self.xmin is None: |
|
201 | if self.xmin is None: | |
| 201 | xmin = self.min_time |
|
202 | xmin = self.min_time | |
| 202 | else: |
|
203 | else: | |
| 203 | if self.xaxis is 'time': |
|
204 | if self.xaxis is 'time': | |
| 204 | dt = datetime.datetime.fromtimestamp(self.min_time) |
|
205 | dt = datetime.datetime.fromtimestamp(self.min_time) | |
| 205 | xmin = (datetime.datetime.combine(dt.date(), |
|
206 | xmin = (datetime.datetime.combine(dt.date(), | |
| 206 | datetime.time(int(self.xmin), 0, 0))-d1970).total_seconds() |
|
207 | datetime.time(int(self.xmin), 0, 0))-d1970).total_seconds() | |
| 207 | else: |
|
208 | else: | |
| 208 | xmin = self.xmin |
|
209 | xmin = self.xmin | |
| 209 |
|
210 | |||
| 210 | if self.xmax is None: |
|
211 | if self.xmax is None: | |
| 211 | xmax = xmin+self.xrange*60*60 |
|
212 | xmax = xmin+self.xrange*60*60 | |
| 212 | else: |
|
213 | else: | |
| 213 | if self.xaxis is 'time': |
|
214 | if self.xaxis is 'time': | |
| 214 | dt = datetime.datetime.fromtimestamp(self.min_time) |
|
215 | dt = datetime.datetime.fromtimestamp(self.min_time) | |
| 215 | xmax = (datetime.datetime.combine(dt.date(), |
|
216 | xmax = (datetime.datetime.combine(dt.date(), | |
| 216 | datetime.time(int(self.xmax), 0, 0))-d1970).total_seconds() |
|
217 | datetime.time(int(self.xmax), 0, 0))-d1970).total_seconds() | |
| 217 | else: |
|
218 | else: | |
| 218 | xmax = self.xmax |
|
219 | xmax = self.xmax | |
| 219 |
|
220 | |||
| 220 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) |
|
221 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) | |
| 221 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) |
|
222 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) | |
| 222 |
|
223 | |||
| 223 | ystep = 200 if ymax>= 800 else 100 if ymax>=400 else 50 if ymax>=200 else 20 |
|
224 | ystep = 200 if ymax>= 800 else 100 if ymax>=400 else 50 if ymax>=200 else 20 | |
| 224 |
|
225 | |||
| 225 | for n, ax in enumerate(self.axes): |
|
226 | for n, ax in enumerate(self.axes): | |
| 226 | if ax.firsttime: |
|
227 | if ax.firsttime: | |
| 227 | ax.set_facecolor(self.bgcolor) |
|
228 | ax.set_facecolor(self.bgcolor) | |
| 228 | ax.yaxis.set_major_locator(MultipleLocator(ystep)) |
|
229 | ax.yaxis.set_major_locator(MultipleLocator(ystep)) | |
| 229 | if self.xaxis is 'time': |
|
230 | if self.xaxis is 'time': | |
| 230 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
231 | ax.xaxis.set_major_formatter(FuncFormatter(func)) | |
| 231 | ax.xaxis.set_major_locator(LinearLocator(9)) |
|
232 | ax.xaxis.set_major_locator(LinearLocator(9)) | |
| 232 | if self.xlabel is not None: |
|
233 | if self.xlabel is not None: | |
| 233 | ax.set_xlabel(self.xlabel) |
|
234 | ax.set_xlabel(self.xlabel) | |
| 234 | ax.set_ylabel(self.ylabel) |
|
235 | ax.set_ylabel(self.ylabel) | |
| 235 | ax.firsttime = False |
|
236 | ax.firsttime = False | |
| 236 | if self.showprofile: |
|
237 | if self.showprofile: | |
| 237 | self.pf_axes[n].set_ylim(ymin, ymax) |
|
238 | self.pf_axes[n].set_ylim(ymin, ymax) | |
| 238 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) |
|
239 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) | |
| 239 | self.pf_axes[n].set_xlabel('dB') |
|
240 | self.pf_axes[n].set_xlabel('dB') | |
| 240 | self.pf_axes[n].grid(b=True, axis='x') |
|
241 | self.pf_axes[n].grid(b=True, axis='x') | |
| 241 | [tick.set_visible(False) for tick in self.pf_axes[n].get_yticklabels()] |
|
242 | [tick.set_visible(False) for tick in self.pf_axes[n].get_yticklabels()] | |
| 242 | if self.colorbar: |
|
243 | if self.colorbar: | |
| 243 | cb = plt.colorbar(ax.plt, ax=ax, pad=0.02) |
|
244 | cb = plt.colorbar(ax.plt, ax=ax, pad=0.02) | |
| 244 | cb.ax.tick_params(labelsize=8) |
|
245 | cb.ax.tick_params(labelsize=8) | |
| 245 | if self.cb_label: |
|
246 | if self.cb_label: | |
| 246 | cb.set_label(self.cb_label, size=8) |
|
247 | cb.set_label(self.cb_label, size=8) | |
| 247 | elif self.cb_labels: |
|
248 | elif self.cb_labels: | |
| 248 | cb.set_label(self.cb_labels[n], size=8) |
|
249 | cb.set_label(self.cb_labels[n], size=8) | |
| 249 |
|
250 | |||
| 250 | ax.set_title('{} - {} UTC'.format( |
|
251 | ax.set_title('{} - {} UTC'.format( | |
| 251 | self.titles[n], |
|
252 | self.titles[n], | |
| 252 | datetime.datetime.fromtimestamp(self.max_time).strftime('%H:%M:%S')), |
|
253 | datetime.datetime.fromtimestamp(self.max_time).strftime('%H:%M:%S')), | |
| 253 | size=8) |
|
254 | size=8) | |
| 254 | ax.set_xlim(xmin, xmax) |
|
255 | ax.set_xlim(xmin, xmax) | |
| 255 | ax.set_ylim(ymin, ymax) |
|
256 | ax.set_ylim(ymin, ymax) | |
| 256 |
|
257 | |||
| 257 |
|
258 | |||
| 258 | def __plot(self): |
|
259 | def __plot(self): | |
| 259 | ''' |
|
260 | ''' | |
| 260 | ''' |
|
261 | ''' | |
| 261 | log.success('Plotting', self.name) |
|
262 | log.success('Plotting', self.name) | |
| 262 |
|
263 | |||
| 263 | self.plot() |
|
264 | self.plot() | |
| 264 | self.format() |
|
265 | self.format() | |
| 265 |
|
266 | |||
| 266 | for n, fig in enumerate(self.figures): |
|
267 | for n, fig in enumerate(self.figures): | |
| 267 | if self.nrows == 0 or self.nplots == 0: |
|
268 | if self.nrows == 0 or self.nplots == 0: | |
| 268 | log.warning('No data', self.name) |
|
269 | log.warning('No data', self.name) | |
| 269 | continue |
|
270 | continue | |
| 270 | if self.show: |
|
271 | if self.show: | |
| 271 | fig.show() |
|
272 | fig.show() | |
| 272 |
|
273 | |||
| 273 | fig.tight_layout() |
|
274 | fig.tight_layout() | |
| 274 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, |
|
275 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, | |
| 275 | datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d'))) |
|
276 | datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d'))) | |
| 276 | # fig.canvas.draw() |
|
277 | # fig.canvas.draw() | |
| 277 |
|
278 | |||
| 278 | if self.save and self.data.ended: |
|
279 | if self.save and self.data.ended: | |
| 279 | channels = range(self.nrows) |
|
280 | channels = range(self.nrows) | |
| 280 | if self.oneFigure: |
|
281 | if self.oneFigure: | |
| 281 | label = '' |
|
282 | label = '' | |
| 282 | else: |
|
283 | else: | |
| 283 | label = '_{}'.format(channels[n]) |
|
284 | label = '_{}'.format(channels[n]) | |
| 284 | figname = os.path.join( |
|
285 | figname = os.path.join( | |
| 285 | self.save, |
|
286 | self.save, | |
| 286 | '{}{}_{}.png'.format( |
|
287 | '{}{}_{}.png'.format( | |
| 287 | self.CODE, |
|
288 | self.CODE, | |
| 288 | label, |
|
289 | label, | |
| 289 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S') |
|
290 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S') | |
| 290 | ) |
|
291 | ) | |
| 291 | ) |
|
292 | ) | |
| 292 | print 'Saving figure: {}'.format(figname) |
|
293 | print 'Saving figure: {}'.format(figname) | |
| 293 | fig.savefig(figname) |
|
294 | fig.savefig(figname) | |
| 294 |
|
295 | |||
| 295 | def plot(self): |
|
296 | def plot(self): | |
| 296 | ''' |
|
297 | ''' | |
| 297 | ''' |
|
298 | ''' | |
| 298 | raise(NotImplementedError, 'Implement this method in child class') |
|
299 | raise(NotImplementedError, 'Implement this method in child class') | |
| 299 |
|
300 | |||
| 300 | def run(self): |
|
301 | def run(self): | |
| 301 |
|
302 | |||
| 302 | log.success('Starting', self.name) |
|
303 | log.success('Starting', self.name) | |
| 303 |
|
304 | |||
| 304 | context = zmq.Context() |
|
305 | context = zmq.Context() | |
| 305 | receiver = context.socket(zmq.SUB) |
|
306 | receiver = context.socket(zmq.SUB) | |
| 306 | receiver.setsockopt(zmq.SUBSCRIBE, '') |
|
307 | receiver.setsockopt(zmq.SUBSCRIBE, '') | |
| 307 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) |
|
308 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) | |
| 308 |
|
309 | |||
| 309 | if 'server' in self.kwargs['parent']: |
|
310 | if 'server' in self.kwargs['parent']: | |
| 310 | receiver.connect('ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server'])) |
|
311 | receiver.connect('ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server'])) | |
| 311 | else: |
|
312 | else: | |
| 312 | receiver.connect("ipc:///tmp/zmq.plots") |
|
313 | receiver.connect("ipc:///tmp/zmq.plots") | |
| 313 |
|
314 | |||
| 314 | while True: |
|
315 | while True: | |
| 315 | try: |
|
316 | try: | |
| 316 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK) |
|
317 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK) | |
| 317 |
|
318 | |||
| 318 | self.min_time = self.data.times[0] |
|
319 | self.min_time = self.data.times[0] | |
| 319 | self.max_time = self.data.times[-1] |
|
320 | self.max_time = self.data.times[-1] | |
| 320 |
|
321 | |||
| 321 | if self.isConfig is False: |
|
322 | if self.isConfig is False: | |
| 322 | self.__setup() |
|
323 | self.__setup() | |
| 323 | self.isConfig = True |
|
324 | self.isConfig = True | |
| 324 |
|
325 | |||
| 325 | self.__plot() |
|
326 | self.__plot() | |
| 326 |
|
327 | |||
| 327 | except zmq.Again as e: |
|
328 | except zmq.Again as e: | |
| 328 | log.log('Waiting for data...') |
|
329 | log.log('Waiting for data...') | |
| 329 | if self.data: |
|
330 | if self.data: | |
| 330 | plt.pause(self.data.throttle) |
|
331 | plt.pause(self.data.throttle) | |
| 331 | else: |
|
332 | else: | |
| 332 | time.sleep(2) |
|
333 | time.sleep(2) | |
| 333 |
|
334 | |||
| 334 | def close(self): |
|
335 | def close(self): | |
| 335 | if self.data: |
|
336 | if self.data: | |
| 336 | self.__plot() |
|
337 | self.__plot() | |
| 337 |
|
338 | |||
| 338 |
|
||||
| 339 | class PlotSpectraData(PlotData): |
|
339 | class PlotSpectraData(PlotData): | |
| 340 | ''' |
|
340 | ''' | |
| 341 | Plot for Spectra data |
|
341 | Plot for Spectra data | |
| 342 | ''' |
|
342 | ''' | |
| 343 |
|
343 | |||
| 344 | CODE = 'spc' |
|
344 | CODE = 'spc' | |
| 345 | colormap = 'jro' |
|
345 | colormap = 'jro' | |
| 346 |
|
346 | |||
| 347 | def setup(self): |
|
347 | def setup(self): | |
| 348 | self.nplots = len(self.data.channels) |
|
348 | self.nplots = len(self.data.channels) | |
| 349 | self.ncols = int(numpy.sqrt(self.nplots)+ 0.9) |
|
349 | self.ncols = int(numpy.sqrt(self.nplots)+ 0.9) | |
| 350 | self.nrows = int((1.0*self.nplots/self.ncols) + 0.9) |
|
350 | self.nrows = int((1.0*self.nplots/self.ncols) + 0.9) | |
| 351 | self.width = 3.4*self.ncols |
|
351 | self.width = 3.4*self.ncols | |
| 352 | self.height = 3*self.nrows |
|
352 | self.height = 3*self.nrows | |
| 353 | self.cb_label = 'dB' |
|
353 | self.cb_label = 'dB' | |
| 354 | if self.showprofile: |
|
354 | if self.showprofile: | |
| 355 | self.width += 0.8*self.ncols |
|
355 | self.width += 0.8*self.ncols | |
| 356 |
|
356 | |||
| 357 | self.ylabel = 'Range [Km]' |
|
357 | self.ylabel = 'Range [Km]' | |
| 358 |
|
358 | |||
| 359 | def plot(self): |
|
359 | def plot(self): | |
| 360 | if self.xaxis == "frequency": |
|
360 | if self.xaxis == "frequency": | |
| 361 | x = self.data.xrange[0] |
|
361 | x = self.data.xrange[0] | |
| 362 | self.xlabel = "Frequency (kHz)" |
|
362 | self.xlabel = "Frequency (kHz)" | |
| 363 | elif self.xaxis == "time": |
|
363 | elif self.xaxis == "time": | |
| 364 | x = self.data.xrange[1] |
|
364 | x = self.data.xrange[1] | |
| 365 | self.xlabel = "Time (ms)" |
|
365 | self.xlabel = "Time (ms)" | |
| 366 | else: |
|
366 | else: | |
| 367 | x = self.data.xrange[2] |
|
367 | x = self.data.xrange[2] | |
| 368 | self.xlabel = "Velocity (m/s)" |
|
368 | self.xlabel = "Velocity (m/s)" | |
| 369 |
|
369 | |||
| 370 | if self.CODE == 'spc_mean': |
|
370 | if self.CODE == 'spc_mean': | |
| 371 | x = self.data.xrange[2] |
|
371 | x = self.data.xrange[2] | |
| 372 | self.xlabel = "Velocity (m/s)" |
|
372 | self.xlabel = "Velocity (m/s)" | |
| 373 |
|
373 | |||
| 374 | self.titles = [] |
|
374 | self.titles = [] | |
| 375 |
|
375 | |||
| 376 | y = self.data.heights |
|
376 | y = self.data.heights | |
| 377 | self.y = y |
|
377 | self.y = y | |
| 378 | z = self.data['spc'] |
|
378 | z = self.data['spc'] | |
| 379 |
|
379 | |||
| 380 | for n, ax in enumerate(self.axes): |
|
380 | for n, ax in enumerate(self.axes): | |
| 381 | noise = self.data['noise'][n][-1] |
|
381 | noise = self.data['noise'][n][-1] | |
| 382 | if self.CODE == 'spc_mean': |
|
382 | if self.CODE == 'spc_mean': | |
| 383 | mean = self.data['mean'][n][-1] |
|
383 | mean = self.data['mean'][n][-1] | |
| 384 | if ax.firsttime: |
|
384 | if ax.firsttime: | |
| 385 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
385 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | |
| 386 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
386 | self.xmin = self.xmin if self.xmin else -self.xmax | |
| 387 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) |
|
387 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) | |
| 388 | self.zmax = self.zmax if self.zmax else numpy.nanmax(z) |
|
388 | self.zmax = self.zmax if self.zmax else numpy.nanmax(z) | |
| 389 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
389 | ax.plt = ax.pcolormesh(x, y, z[n].T, | |
| 390 | vmin=self.zmin, |
|
390 | vmin=self.zmin, | |
| 391 | vmax=self.zmax, |
|
391 | vmax=self.zmax, | |
| 392 | cmap=plt.get_cmap(self.colormap) |
|
392 | cmap=plt.get_cmap(self.colormap) | |
| 393 | ) |
|
393 | ) | |
| 394 |
|
394 | |||
| 395 | if self.showprofile: |
|
395 | if self.showprofile: | |
| 396 | ax.plt_profile= self.pf_axes[n].plot(self.data['rti'][n][-1], y)[0] |
|
396 | ax.plt_profile= self.pf_axes[n].plot(self.data['rti'][n][-1], y)[0] | |
| 397 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, |
|
397 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, | |
| 398 | color="k", linestyle="dashed", lw=1)[0] |
|
398 | color="k", linestyle="dashed", lw=1)[0] | |
| 399 | if self.CODE == 'spc_mean': |
|
399 | if self.CODE == 'spc_mean': | |
| 400 | ax.plt_mean = ax.plot(mean, y, color='k')[0] |
|
400 | ax.plt_mean = ax.plot(mean, y, color='k')[0] | |
| 401 | else: |
|
401 | else: | |
| 402 | ax.plt.set_array(z[n].T.ravel()) |
|
402 | ax.plt.set_array(z[n].T.ravel()) | |
| 403 | if self.showprofile: |
|
403 | if self.showprofile: | |
| 404 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) |
|
404 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) | |
| 405 | ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) |
|
405 | ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) | |
| 406 | if self.CODE == 'spc_mean': |
|
406 | if self.CODE == 'spc_mean': | |
| 407 | ax.plt_mean.set_data(mean, y) |
|
407 | ax.plt_mean.set_data(mean, y) | |
| 408 |
|
408 | |||
| 409 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
409 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) | |
| 410 | self.saveTime = self.max_time |
|
410 | self.saveTime = self.max_time | |
| 411 |
|
411 | |||
| 412 |
|
412 | |||
| 413 | class PlotCrossSpectraData(PlotData): |
|
413 | class PlotCrossSpectraData(PlotData): | |
| 414 |
|
414 | |||
| 415 | CODE = 'cspc' |
|
415 | CODE = 'cspc' | |
| 416 | zmin_coh = None |
|
416 | zmin_coh = None | |
| 417 | zmax_coh = None |
|
417 | zmax_coh = None | |
| 418 | zmin_phase = None |
|
418 | zmin_phase = None | |
| 419 | zmax_phase = None |
|
419 | zmax_phase = None | |
| 420 |
|
420 | |||
| 421 | def setup(self): |
|
421 | def setup(self): | |
| 422 |
|
422 | |||
| 423 | self.ncols = 4 |
|
423 | self.ncols = 4 | |
| 424 | self.nrows = len(self.data.pairs) |
|
424 | self.nrows = len(self.data.pairs) | |
| 425 | self.nplots = self.nrows*4 |
|
425 | self.nplots = self.nrows*4 | |
| 426 | self.width = 3.4*self.ncols |
|
426 | self.width = 3.4*self.ncols | |
| 427 | self.height = 3*self.nrows |
|
427 | self.height = 3*self.nrows | |
| 428 | self.ylabel = 'Range [Km]' |
|
428 | self.ylabel = 'Range [Km]' | |
| 429 | self.showprofile = False |
|
429 | self.showprofile = False | |
| 430 |
|
430 | |||
| 431 | def plot(self): |
|
431 | def plot(self): | |
| 432 |
|
432 | |||
| 433 | if self.xaxis == "frequency": |
|
433 | if self.xaxis == "frequency": | |
| 434 | x = self.data.xrange[0] |
|
434 | x = self.data.xrange[0] | |
| 435 | self.xlabel = "Frequency (kHz)" |
|
435 | self.xlabel = "Frequency (kHz)" | |
| 436 | elif self.xaxis == "time": |
|
436 | elif self.xaxis == "time": | |
| 437 | x = self.data.xrange[1] |
|
437 | x = self.data.xrange[1] | |
| 438 | self.xlabel = "Time (ms)" |
|
438 | self.xlabel = "Time (ms)" | |
| 439 | else: |
|
439 | else: | |
| 440 | x = self.data.xrange[2] |
|
440 | x = self.data.xrange[2] | |
| 441 | self.xlabel = "Velocity (m/s)" |
|
441 | self.xlabel = "Velocity (m/s)" | |
| 442 |
|
442 | |||
| 443 | self.titles = [] |
|
443 | self.titles = [] | |
| 444 |
|
444 | |||
| 445 | y = self.data.heights |
|
445 | y = self.data.heights | |
| 446 | self.y = y |
|
446 | self.y = y | |
| 447 | spc = self.data['spc'] |
|
447 | spc = self.data['spc'] | |
| 448 | cspc = self.data['cspc'] |
|
448 | cspc = self.data['cspc'] | |
| 449 |
|
449 | |||
| 450 | for n in range(self.nrows): |
|
450 | for n in range(self.nrows): | |
| 451 | noise = self.data['noise'][n][-1] |
|
451 | noise = self.data['noise'][n][-1] | |
| 452 | pair = self.data.pairs[n] |
|
452 | pair = self.data.pairs[n] | |
| 453 | ax = self.axes[4*n] |
|
453 | ax = self.axes[4*n] | |
| 454 | ax3 = self.axes[4*n+3] |
|
454 | ax3 = self.axes[4*n+3] | |
| 455 | if ax.firsttime: |
|
455 | if ax.firsttime: | |
| 456 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
456 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | |
| 457 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
457 | self.xmin = self.xmin if self.xmin else -self.xmax | |
| 458 | self.zmin = self.zmin if self.zmin else numpy.nanmin(spc) |
|
458 | self.zmin = self.zmin if self.zmin else numpy.nanmin(spc) | |
| 459 | self.zmax = self.zmax if self.zmax else numpy.nanmax(spc) |
|
459 | self.zmax = self.zmax if self.zmax else numpy.nanmax(spc) | |
| 460 | ax.plt = ax.pcolormesh(x, y, spc[pair[0]].T, |
|
460 | ax.plt = ax.pcolormesh(x, y, spc[pair[0]].T, | |
| 461 | vmin=self.zmin, |
|
461 | vmin=self.zmin, | |
| 462 | vmax=self.zmax, |
|
462 | vmax=self.zmax, | |
| 463 | cmap=plt.get_cmap(self.colormap) |
|
463 | cmap=plt.get_cmap(self.colormap) | |
| 464 | ) |
|
464 | ) | |
| 465 | else: |
|
465 | else: | |
| 466 | ax.plt.set_array(spc[pair[0]].T.ravel()) |
|
466 | ax.plt.set_array(spc[pair[0]].T.ravel()) | |
| 467 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
467 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) | |
| 468 |
|
468 | |||
| 469 | ax = self.axes[4*n+1] |
|
469 | ax = self.axes[4*n+1] | |
| 470 | if ax.firsttime: |
|
470 | if ax.firsttime: | |
| 471 | ax.plt = ax.pcolormesh(x, y, spc[pair[1]].T, |
|
471 | ax.plt = ax.pcolormesh(x, y, spc[pair[1]].T, | |
| 472 | vmin=self.zmin, |
|
472 | vmin=self.zmin, | |
| 473 | vmax=self.zmax, |
|
473 | vmax=self.zmax, | |
| 474 | cmap=plt.get_cmap(self.colormap) |
|
474 | cmap=plt.get_cmap(self.colormap) | |
| 475 | ) |
|
475 | ) | |
| 476 | else: |
|
476 | else: | |
| 477 | ax.plt.set_array(spc[pair[1]].T.ravel()) |
|
477 | ax.plt.set_array(spc[pair[1]].T.ravel()) | |
| 478 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
478 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) | |
| 479 |
|
479 | |||
| 480 | out = cspc[n]/numpy.sqrt(spc[pair[0]]*spc[pair[1]]) |
|
480 | out = cspc[n]/numpy.sqrt(spc[pair[0]]*spc[pair[1]]) | |
| 481 | coh = numpy.abs(out) |
|
481 | coh = numpy.abs(out) | |
| 482 | phase = numpy.arctan2(out.imag, out.real)*180/numpy.pi |
|
482 | phase = numpy.arctan2(out.imag, out.real)*180/numpy.pi | |
| 483 |
|
483 | |||
| 484 | ax = self.axes[4*n+2] |
|
484 | ax = self.axes[4*n+2] | |
| 485 | if ax.firsttime: |
|
485 | if ax.firsttime: | |
| 486 | ax.plt = ax.pcolormesh(x, y, coh.T, |
|
486 | ax.plt = ax.pcolormesh(x, y, coh.T, | |
| 487 | vmin=0, |
|
487 | vmin=0, | |
| 488 | vmax=1, |
|
488 | vmax=1, | |
| 489 | cmap=plt.get_cmap(self.colormap_coh) |
|
489 | cmap=plt.get_cmap(self.colormap_coh) | |
| 490 | ) |
|
490 | ) | |
| 491 | else: |
|
491 | else: | |
| 492 | ax.plt.set_array(coh.T.ravel()) |
|
492 | ax.plt.set_array(coh.T.ravel()) | |
| 493 | self.titles.append('Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) |
|
493 | self.titles.append('Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) | |
| 494 |
|
494 | |||
| 495 | ax = self.axes[4*n+3] |
|
495 | ax = self.axes[4*n+3] | |
| 496 | if ax.firsttime: |
|
496 | if ax.firsttime: | |
| 497 | ax.plt = ax.pcolormesh(x, y, phase.T, |
|
497 | ax.plt = ax.pcolormesh(x, y, phase.T, | |
| 498 | vmin=-180, |
|
498 | vmin=-180, | |
| 499 | vmax=180, |
|
499 | vmax=180, | |
| 500 | cmap=plt.get_cmap(self.colormap_phase) |
|
500 | cmap=plt.get_cmap(self.colormap_phase) | |
| 501 | ) |
|
501 | ) | |
| 502 | else: |
|
502 | else: | |
| 503 | ax.plt.set_array(phase.T.ravel()) |
|
503 | ax.plt.set_array(phase.T.ravel()) | |
| 504 | self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) |
|
504 | self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) | |
| 505 |
|
505 | |||
| 506 | self.saveTime = self.max_time |
|
506 | self.saveTime = self.max_time | |
| 507 |
|
507 | |||
| 508 |
|
508 | |||
| 509 | class PlotSpectraMeanData(PlotSpectraData): |
|
509 | class PlotSpectraMeanData(PlotSpectraData): | |
| 510 | ''' |
|
510 | ''' | |
| 511 | Plot for Spectra and Mean |
|
511 | Plot for Spectra and Mean | |
| 512 | ''' |
|
512 | ''' | |
| 513 | CODE = 'spc_mean' |
|
513 | CODE = 'spc_mean' | |
| 514 | colormap = 'jro' |
|
514 | colormap = 'jro' | |
| 515 |
|
515 | |||
| 516 |
|
516 | |||
| 517 | class PlotRTIData(PlotData): |
|
517 | class PlotRTIData(PlotData): | |
| 518 | ''' |
|
518 | ''' | |
| 519 | Plot for RTI data |
|
519 | Plot for RTI data | |
| 520 | ''' |
|
520 | ''' | |
| 521 |
|
521 | |||
| 522 | CODE = 'rti' |
|
522 | CODE = 'rti' | |
| 523 | colormap = 'jro' |
|
523 | colormap = 'jro' | |
| 524 |
|
524 | |||
| 525 | def setup(self): |
|
525 | def setup(self): | |
| 526 | self.xaxis = 'time' |
|
526 | self.xaxis = 'time' | |
| 527 | self.ncols = 1 |
|
527 | self.ncols = 1 | |
| 528 | self.nrows = len(self.data.channels) |
|
528 | self.nrows = len(self.data.channels) | |
| 529 | self.nplots = len(self.data.channels) |
|
529 | self.nplots = len(self.data.channels) | |
| 530 | self.ylabel = 'Range [Km]' |
|
530 | self.ylabel = 'Range [Km]' | |
| 531 | self.cb_label = 'dB' |
|
531 | self.cb_label = 'dB' | |
| 532 | self.titles = ['{} Channel {}'.format(self.CODE.upper(), x) for x in range(self.nrows)] |
|
532 | self.titles = ['{} Channel {}'.format(self.CODE.upper(), x) for x in range(self.nrows)] | |
| 533 |
|
533 | |||
| 534 | def plot(self): |
|
534 | def plot(self): | |
| 535 | self.x = self.data.times |
|
535 | self.x = self.data.times | |
| 536 | self.y = self.data.heights |
|
536 | self.y = self.data.heights | |
| 537 | self.z = self.data[self.CODE] |
|
537 | self.z = self.data[self.CODE] | |
| 538 | self.z = numpy.ma.masked_invalid(self.z) |
|
538 | self.z = numpy.ma.masked_invalid(self.z) | |
| 539 |
|
539 | |||
| 540 | for n, ax in enumerate(self.axes): |
|
540 | for n, ax in enumerate(self.axes): | |
| 541 | x, y, z = self.fill_gaps(*self.decimate()) |
|
541 | x, y, z = self.fill_gaps(*self.decimate()) | |
| 542 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) |
|
542 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) | |
| 543 | self.zmax = self.zmax if self.zmax else numpy.max(self.z) |
|
543 | self.zmax = self.zmax if self.zmax else numpy.max(self.z) | |
| 544 | if ax.firsttime: |
|
544 | if ax.firsttime: | |
| 545 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
545 | ax.plt = ax.pcolormesh(x, y, z[n].T, | |
| 546 | vmin=self.zmin, |
|
546 | vmin=self.zmin, | |
| 547 | vmax=self.zmax, |
|
547 | vmax=self.zmax, | |
| 548 | cmap=plt.get_cmap(self.colormap) |
|
548 | cmap=plt.get_cmap(self.colormap) | |
| 549 | ) |
|
549 | ) | |
| 550 | if self.showprofile: |
|
550 | if self.showprofile: | |
| 551 | ax.plot_profile= self.pf_axes[n].plot(self.data['rti'][n][-1], self.y)[0] |
|
551 | ax.plot_profile= self.pf_axes[n].plot(self.data['rti'][n][-1], self.y)[0] | |
| 552 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, |
|
552 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, | |
| 553 | color="k", linestyle="dashed", lw=1)[0] |
|
553 | color="k", linestyle="dashed", lw=1)[0] | |
| 554 | else: |
|
554 | else: | |
| 555 | ax.collections.remove(ax.collections[0]) |
|
555 | ax.collections.remove(ax.collections[0]) | |
| 556 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
556 | ax.plt = ax.pcolormesh(x, y, z[n].T, | |
| 557 | vmin=self.zmin, |
|
557 | vmin=self.zmin, | |
| 558 | vmax=self.zmax, |
|
558 | vmax=self.zmax, | |
| 559 | cmap=plt.get_cmap(self.colormap) |
|
559 | cmap=plt.get_cmap(self.colormap) | |
| 560 | ) |
|
560 | ) | |
| 561 | if self.showprofile: |
|
561 | if self.showprofile: | |
| 562 | ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) |
|
562 | ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) | |
| 563 | ax.plot_noise.set_data(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y) |
|
563 | ax.plot_noise.set_data(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y) | |
| 564 |
|
564 | |||
| 565 | self.saveTime = self.min_time |
|
565 | self.saveTime = self.min_time | |
| 566 |
|
566 | |||
| 567 |
|
567 | |||
| 568 | class PlotCOHData(PlotRTIData): |
|
568 | class PlotCOHData(PlotRTIData): | |
| 569 | ''' |
|
569 | ''' | |
| 570 | Plot for Coherence data |
|
570 | Plot for Coherence data | |
| 571 | ''' |
|
571 | ''' | |
| 572 |
|
572 | |||
| 573 | CODE = 'coh' |
|
573 | CODE = 'coh' | |
| 574 |
|
574 | |||
| 575 | def setup(self): |
|
575 | def setup(self): | |
| 576 | self.xaxis = 'time' |
|
576 | self.xaxis = 'time' | |
| 577 | self.ncols = 1 |
|
577 | self.ncols = 1 | |
| 578 | self.nrows = len(self.data.pairs) |
|
578 | self.nrows = len(self.data.pairs) | |
| 579 | self.nplots = len(self.data.pairs) |
|
579 | self.nplots = len(self.data.pairs) | |
| 580 | self.ylabel = 'Range [Km]' |
|
580 | self.ylabel = 'Range [Km]' | |
| 581 | if self.CODE == 'coh': |
|
581 | if self.CODE == 'coh': | |
| 582 | self.cb_label = '' |
|
582 | self.cb_label = '' | |
| 583 | self.titles = ['Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
583 | self.titles = ['Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] | |
| 584 | else: |
|
584 | else: | |
| 585 | self.cb_label = 'Degrees' |
|
585 | self.cb_label = 'Degrees' | |
| 586 | self.titles = ['Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
586 | self.titles = ['Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] | |
| 587 |
|
587 | |||
| 588 |
|
588 | |||
| 589 | class PlotPHASEData(PlotCOHData): |
|
589 | class PlotPHASEData(PlotCOHData): | |
| 590 | ''' |
|
590 | ''' | |
| 591 | Plot for Phase map data |
|
591 | Plot for Phase map data | |
| 592 | ''' |
|
592 | ''' | |
| 593 |
|
593 | |||
| 594 | CODE = 'phase' |
|
594 | CODE = 'phase' | |
| 595 | colormap = 'seismic' |
|
595 | colormap = 'seismic' | |
| 596 |
|
596 | |||
| 597 |
|
597 | |||
| 598 | class PlotNoiseData(PlotData): |
|
598 | class PlotNoiseData(PlotData): | |
| 599 | ''' |
|
599 | ''' | |
| 600 | Plot for noise |
|
600 | Plot for noise | |
| 601 | ''' |
|
601 | ''' | |
| 602 |
|
602 | |||
| 603 | CODE = 'noise' |
|
603 | CODE = 'noise' | |
| 604 |
|
604 | |||
| 605 | def setup(self): |
|
605 | def setup(self): | |
| 606 | self.xaxis = 'time' |
|
606 | self.xaxis = 'time' | |
| 607 | self.ncols = 1 |
|
607 | self.ncols = 1 | |
| 608 | self.nrows = 1 |
|
608 | self.nrows = 1 | |
| 609 | self.nplots = 1 |
|
609 | self.nplots = 1 | |
| 610 | self.ylabel = 'Intensity [dB]' |
|
610 | self.ylabel = 'Intensity [dB]' | |
| 611 | self.titles = ['Noise'] |
|
611 | self.titles = ['Noise'] | |
| 612 | self.colorbar = False |
|
612 | self.colorbar = False | |
| 613 |
|
613 | |||
| 614 | def plot(self): |
|
614 | def plot(self): | |
| 615 |
|
615 | |||
| 616 | x = self.data.times |
|
616 | x = self.data.times | |
| 617 | xmin = self.min_time |
|
617 | xmin = self.min_time | |
| 618 | xmax = xmin+self.xrange*60*60 |
|
618 | xmax = xmin+self.xrange*60*60 | |
| 619 | Y = self.data[self.CODE] |
|
619 | Y = self.data[self.CODE] | |
| 620 |
|
620 | |||
| 621 | if self.axes[0].firsttime: |
|
621 | if self.axes[0].firsttime: | |
| 622 | for ch in self.data.channels: |
|
622 | for ch in self.data.channels: | |
| 623 | y = Y[ch] |
|
623 | y = Y[ch] | |
| 624 | self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch)) |
|
624 | self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch)) | |
| 625 | plt.legend() |
|
625 | plt.legend() | |
| 626 | else: |
|
626 | else: | |
| 627 | for ch in self.data.channels: |
|
627 | for ch in self.data.channels: | |
| 628 | y = Y[ch] |
|
628 | y = Y[ch] | |
| 629 | self.axes[0].lines[ch].set_data(x, y) |
|
629 | self.axes[0].lines[ch].set_data(x, y) | |
| 630 |
|
630 | |||
| 631 | self.ymin = numpy.nanmin(Y) - 5 |
|
631 | self.ymin = numpy.nanmin(Y) - 5 | |
| 632 | self.ymax = numpy.nanmax(Y) + 5 |
|
632 | self.ymax = numpy.nanmax(Y) + 5 | |
| 633 | self.saveTime = self.min_time |
|
633 | self.saveTime = self.min_time | |
| 634 |
|
634 | |||
| 635 |
|
635 | |||
| 636 | class PlotSNRData(PlotRTIData): |
|
636 | class PlotSNRData(PlotRTIData): | |
| 637 | ''' |
|
637 | ''' | |
| 638 | Plot for SNR Data |
|
638 | Plot for SNR Data | |
| 639 | ''' |
|
639 | ''' | |
| 640 |
|
640 | |||
| 641 | CODE = 'snr' |
|
641 | CODE = 'snr' | |
| 642 | colormap = 'jet' |
|
642 | colormap = 'jet' | |
| 643 |
|
643 | |||
| 644 |
|
644 | |||
| 645 | class PlotDOPData(PlotRTIData): |
|
645 | class PlotDOPData(PlotRTIData): | |
| 646 | ''' |
|
646 | ''' | |
| 647 | Plot for DOPPLER Data |
|
647 | Plot for DOPPLER Data | |
| 648 | ''' |
|
648 | ''' | |
| 649 |
|
649 | |||
| 650 | CODE = 'dop' |
|
650 | CODE = 'dop' | |
| 651 | colormap = 'jet' |
|
651 | colormap = 'jet' | |
| 652 |
|
652 | |||
| 653 |
|
653 | |||
| 654 | class PlotSkyMapData(PlotData): |
|
654 | class PlotSkyMapData(PlotData): | |
| 655 | ''' |
|
655 | ''' | |
| 656 | Plot for meteors detection data |
|
656 | Plot for meteors detection data | |
| 657 | ''' |
|
657 | ''' | |
| 658 |
|
658 | |||
| 659 | CODE = 'met' |
|
659 | CODE = 'met' | |
| 660 |
|
660 | |||
| 661 | def setup(self): |
|
661 | def setup(self): | |
| 662 |
|
662 | |||
| 663 | self.ncols = 1 |
|
663 | self.ncols = 1 | |
| 664 | self.nrows = 1 |
|
664 | self.nrows = 1 | |
| 665 | self.width = 7.2 |
|
665 | self.width = 7.2 | |
| 666 | self.height = 7.2 |
|
666 | self.height = 7.2 | |
| 667 |
|
667 | |||
| 668 | self.xlabel = 'Zonal Zenith Angle (deg)' |
|
668 | self.xlabel = 'Zonal Zenith Angle (deg)' | |
| 669 | self.ylabel = 'Meridional Zenith Angle (deg)' |
|
669 | self.ylabel = 'Meridional Zenith Angle (deg)' | |
| 670 |
|
670 | |||
| 671 | if self.figure is None: |
|
671 | if self.figure is None: | |
| 672 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
672 | self.figure = plt.figure(figsize=(self.width, self.height), | |
| 673 | edgecolor='k', |
|
673 | edgecolor='k', | |
| 674 | facecolor='w') |
|
674 | facecolor='w') | |
| 675 | else: |
|
675 | else: | |
| 676 | self.figure.clf() |
|
676 | self.figure.clf() | |
| 677 |
|
677 | |||
| 678 | self.ax = plt.subplot2grid((self.nrows, self.ncols), (0, 0), 1, 1, polar=True) |
|
678 | self.ax = plt.subplot2grid((self.nrows, self.ncols), (0, 0), 1, 1, polar=True) | |
| 679 | self.ax.firsttime = True |
|
679 | self.ax.firsttime = True | |
| 680 |
|
680 | |||
| 681 |
|
681 | |||
| 682 | def plot(self): |
|
682 | def plot(self): | |
| 683 |
|
683 | |||
| 684 | arrayParameters = numpy.concatenate([self.data['param'][t] for t in self.data.times]) |
|
684 | arrayParameters = numpy.concatenate([self.data['param'][t] for t in self.data.times]) | |
| 685 | error = arrayParameters[:,-1] |
|
685 | error = arrayParameters[:,-1] | |
| 686 | indValid = numpy.where(error == 0)[0] |
|
686 | indValid = numpy.where(error == 0)[0] | |
| 687 | finalMeteor = arrayParameters[indValid,:] |
|
687 | finalMeteor = arrayParameters[indValid,:] | |
| 688 | finalAzimuth = finalMeteor[:,3] |
|
688 | finalAzimuth = finalMeteor[:,3] | |
| 689 | finalZenith = finalMeteor[:,4] |
|
689 | finalZenith = finalMeteor[:,4] | |
| 690 |
|
690 | |||
| 691 | x = finalAzimuth*numpy.pi/180 |
|
691 | x = finalAzimuth*numpy.pi/180 | |
| 692 | y = finalZenith |
|
692 | y = finalZenith | |
| 693 |
|
693 | |||
| 694 | if self.ax.firsttime: |
|
694 | if self.ax.firsttime: | |
| 695 | self.ax.plot = self.ax.plot(x, y, 'bo', markersize=5)[0] |
|
695 | self.ax.plot = self.ax.plot(x, y, 'bo', markersize=5)[0] | |
| 696 | self.ax.set_ylim(0,90) |
|
696 | self.ax.set_ylim(0,90) | |
| 697 | self.ax.set_yticks(numpy.arange(0,90,20)) |
|
697 | self.ax.set_yticks(numpy.arange(0,90,20)) | |
| 698 | self.ax.set_xlabel(self.xlabel) |
|
698 | self.ax.set_xlabel(self.xlabel) | |
| 699 | self.ax.set_ylabel(self.ylabel) |
|
699 | self.ax.set_ylabel(self.ylabel) | |
| 700 | self.ax.yaxis.labelpad = 40 |
|
700 | self.ax.yaxis.labelpad = 40 | |
| 701 | self.ax.firsttime = False |
|
701 | self.ax.firsttime = False | |
| 702 | else: |
|
702 | else: | |
| 703 | self.ax.plot.set_data(x, y) |
|
703 | self.ax.plot.set_data(x, y) | |
| 704 |
|
704 | |||
| 705 |
|
705 | |||
| 706 | dt1 = datetime.datetime.fromtimestamp(self.min_time).strftime('%y/%m/%d %H:%M:%S') |
|
706 | dt1 = datetime.datetime.fromtimestamp(self.min_time).strftime('%y/%m/%d %H:%M:%S') | |
| 707 | dt2 = datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S') |
|
707 | dt2 = datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S') | |
| 708 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, |
|
708 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, | |
| 709 | dt2, |
|
709 | dt2, | |
| 710 | len(x)) |
|
710 | len(x)) | |
| 711 | self.ax.set_title(title, size=8) |
|
711 | self.ax.set_title(title, size=8) | |
| 712 |
|
712 | |||
| 713 | self.saveTime = self.max_time |
|
713 | self.saveTime = self.max_time | |
| 714 |
|
714 | |||
| 715 | class PlotParamData(PlotRTIData): |
|
715 | class PlotParamData(PlotRTIData): | |
| 716 | ''' |
|
716 | ''' | |
| 717 | Plot for data_param object |
|
717 | Plot for data_param object | |
| 718 | ''' |
|
718 | ''' | |
| 719 |
|
719 | |||
| 720 | CODE = 'param' |
|
720 | CODE = 'param' | |
| 721 | colormap = 'seismic' |
|
721 | colormap = 'seismic' | |
| 722 |
|
722 | |||
| 723 | def setup(self): |
|
723 | def setup(self): | |
| 724 | self.xaxis = 'time' |
|
724 | self.xaxis = 'time' | |
| 725 | self.ncols = 1 |
|
725 | self.ncols = 1 | |
| 726 | self.nrows = self.data.shape(self.CODE)[0] |
|
726 | self.nrows = self.data.shape(self.CODE)[0] | |
| 727 | self.nplots = self.nrows |
|
727 | self.nplots = self.nrows | |
| 728 | if self.showSNR: |
|
728 | if self.showSNR: | |
| 729 | self.nrows += 1 |
|
729 | self.nrows += 1 | |
|
|
730 | self.nplots += 1 | |||
| 730 |
|
731 | |||
| 731 | self.ylabel = 'Height [Km]' |
|
732 | self.ylabel = 'Height [Km]' | |
| 732 | self.titles = self.data.parameters \ |
|
733 | self.titles = self.data.parameters \ | |
| 733 | if self.data.parameters else ['Param {}'.format(x) for x in xrange(self.nrows)] |
|
734 | if self.data.parameters else ['Param {}'.format(x) for x in xrange(self.nrows)] | |
| 734 | if self.showSNR: |
|
735 | if self.showSNR: | |
| 735 | self.titles.append('SNR') |
|
736 | self.titles.append('SNR') | |
| 736 |
|
737 | |||
| 737 | def plot(self): |
|
738 | def plot(self): | |
| 738 | self.data.normalize_heights() |
|
739 | self.data.normalize_heights() | |
| 739 | self.x = self.data.times |
|
740 | self.x = self.data.times | |
| 740 | self.y = self.data.heights |
|
741 | self.y = self.data.heights | |
| 741 | if self.showSNR: |
|
742 | if self.showSNR: | |
| 742 | self.z = numpy.concatenate( |
|
743 | self.z = numpy.concatenate( | |
| 743 | (self.data[self.CODE], self.data['snr']) |
|
744 | (self.data[self.CODE], self.data['snr']) | |
| 744 | ) |
|
745 | ) | |
| 745 | else: |
|
746 | else: | |
| 746 | self.z = self.data[self.CODE] |
|
747 | self.z = self.data[self.CODE] | |
| 747 |
|
748 | |||
| 748 | self.z = numpy.ma.masked_invalid(self.z) |
|
749 | self.z = numpy.ma.masked_invalid(self.z) | |
| 749 |
|
750 | |||
| 750 | for n, ax in enumerate(self.axes): |
|
751 | for n, ax in enumerate(self.axes): | |
| 751 |
|
752 | |||
| 752 | x, y, z = self.fill_gaps(*self.decimate()) |
|
753 | x, y, z = self.fill_gaps(*self.decimate()) | |
| 753 |
|
754 | |||
| 754 | if ax.firsttime: |
|
755 | if ax.firsttime: | |
| 755 | if self.zlimits is not None: |
|
756 | if self.zlimits is not None: | |
| 756 | self.zmin, self.zmax = self.zlimits[n] |
|
757 | self.zmin, self.zmax = self.zlimits[n] | |
| 757 | self.zmax = self.zmax if self.zmax is not None else numpy.nanmax(abs(self.z[:-1, :])) |
|
758 | self.zmax = self.zmax if self.zmax is not None else numpy.nanmax(abs(self.z[:-1, :])) | |
| 758 | self.zmin = self.zmin if self.zmin is not None else -self.zmax |
|
759 | self.zmin = self.zmin if self.zmin is not None else -self.zmax | |
| 759 | ax.plt = ax.pcolormesh(x, y, z[n, :, :].T*self.factors[n], |
|
760 | ax.plt = ax.pcolormesh(x, y, z[n, :, :].T*self.factors[n], | |
| 760 | vmin=self.zmin, |
|
761 | vmin=self.zmin, | |
| 761 | vmax=self.zmax, |
|
762 | vmax=self.zmax, | |
| 762 | cmap=self.cmaps[n] |
|
763 | cmap=self.cmaps[n] | |
| 763 | ) |
|
764 | ) | |
| 764 | else: |
|
765 | else: | |
| 765 | if self.zlimits is not None: |
|
766 | if self.zlimits is not None: | |
| 766 | self.zmin, self.zmax = self.zlimits[n] |
|
767 | self.zmin, self.zmax = self.zlimits[n] | |
| 767 | ax.collections.remove(ax.collections[0]) |
|
768 | ax.collections.remove(ax.collections[0]) | |
| 768 | ax.plt = ax.pcolormesh(x, y, z[n, :, :].T*self.factors[n], |
|
769 | ax.plt = ax.pcolormesh(x, y, z[n, :, :].T*self.factors[n], | |
| 769 | vmin=self.zmin, |
|
770 | vmin=self.zmin, | |
| 770 | vmax=self.zmax, |
|
771 | vmax=self.zmax, | |
| 771 | cmap=self.cmaps[n] |
|
772 | cmap=self.cmaps[n] | |
| 772 | ) |
|
773 | ) | |
| 773 |
|
774 | |||
| 774 | self.saveTime = self.min_time |
|
775 | self.saveTime = self.min_time | |
| 775 |
|
776 | |||
| 776 | class PlotOuputData(PlotParamData): |
|
777 | class PlotOuputData(PlotParamData): | |
| 777 | ''' |
|
778 | ''' | |
| 778 | Plot data_output object |
|
779 | Plot data_output object | |
| 779 | ''' |
|
780 | ''' | |
| 780 |
|
781 | |||
| 781 | CODE = 'output' |
|
782 | CODE = 'output' | |
| 782 | colormap = 'seismic' No newline at end of file |
|
783 | colormap = 'seismic' | |
| @@ -1,2154 +1,2151 | |||||
| 1 | import os |
|
1 | import os | |
| 2 | import datetime |
|
2 | import datetime | |
| 3 | import numpy |
|
3 | import numpy | |
| 4 | import inspect |
|
4 | import inspect | |
| 5 | from figure import Figure, isRealtime, isTimeInHourRange |
|
5 | from figure import Figure, isRealtime, isTimeInHourRange | |
| 6 | from plotting_codes import * |
|
6 | from plotting_codes import * | |
| 7 |
|
7 | |||
| 8 |
|
8 | |||
| 9 | class FitGauPlot(Figure): |
|
9 | class FitGauPlot(Figure): | |
| 10 |
|
10 | |||
| 11 | isConfig = None |
|
11 | isConfig = None | |
| 12 | __nsubplots = None |
|
12 | __nsubplots = None | |
| 13 |
|
13 | |||
| 14 | WIDTHPROF = None |
|
14 | WIDTHPROF = None | |
| 15 | HEIGHTPROF = None |
|
15 | HEIGHTPROF = None | |
| 16 | PREFIX = 'fitgau' |
|
16 | PREFIX = 'fitgau' | |
| 17 |
|
17 | |||
| 18 | def __init__(self, **kwargs): |
|
18 | def __init__(self, **kwargs): | |
| 19 | Figure.__init__(self, **kwargs) |
|
19 | Figure.__init__(self, **kwargs) | |
| 20 | self.isConfig = False |
|
20 | self.isConfig = False | |
| 21 | self.__nsubplots = 1 |
|
21 | self.__nsubplots = 1 | |
| 22 |
|
22 | |||
| 23 | self.WIDTH = 250 |
|
23 | self.WIDTH = 250 | |
| 24 | self.HEIGHT = 250 |
|
24 | self.HEIGHT = 250 | |
| 25 | self.WIDTHPROF = 120 |
|
25 | self.WIDTHPROF = 120 | |
| 26 | self.HEIGHTPROF = 0 |
|
26 | self.HEIGHTPROF = 0 | |
| 27 | self.counter_imagwr = 0 |
|
27 | self.counter_imagwr = 0 | |
| 28 |
|
28 | |||
| 29 | self.PLOT_CODE = SPEC_CODE |
|
29 | self.PLOT_CODE = SPEC_CODE | |
| 30 |
|
30 | |||
| 31 | self.FTP_WEI = None |
|
31 | self.FTP_WEI = None | |
| 32 | self.EXP_CODE = None |
|
32 | self.EXP_CODE = None | |
| 33 | self.SUB_EXP_CODE = None |
|
33 | self.SUB_EXP_CODE = None | |
| 34 | self.PLOT_POS = None |
|
34 | self.PLOT_POS = None | |
| 35 |
|
35 | |||
| 36 | self.__xfilter_ena = False |
|
36 | self.__xfilter_ena = False | |
| 37 | self.__yfilter_ena = False |
|
37 | self.__yfilter_ena = False | |
| 38 |
|
38 | |||
| 39 | def getSubplots(self): |
|
39 | def getSubplots(self): | |
| 40 |
|
40 | |||
| 41 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
41 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 42 | nrow = int(self.nplots*1./ncol + 0.9) |
|
42 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 43 |
|
43 | |||
| 44 | return nrow, ncol |
|
44 | return nrow, ncol | |
| 45 |
|
45 | |||
| 46 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
46 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 47 |
|
47 | |||
| 48 | self.__showprofile = showprofile |
|
48 | self.__showprofile = showprofile | |
| 49 | self.nplots = nplots |
|
49 | self.nplots = nplots | |
| 50 |
|
50 | |||
| 51 | ncolspan = 1 |
|
51 | ncolspan = 1 | |
| 52 | colspan = 1 |
|
52 | colspan = 1 | |
| 53 | if showprofile: |
|
53 | if showprofile: | |
| 54 | ncolspan = 3 |
|
54 | ncolspan = 3 | |
| 55 | colspan = 2 |
|
55 | colspan = 2 | |
| 56 | self.__nsubplots = 2 |
|
56 | self.__nsubplots = 2 | |
| 57 |
|
57 | |||
| 58 | self.createFigure(id = id, |
|
58 | self.createFigure(id = id, | |
| 59 | wintitle = wintitle, |
|
59 | wintitle = wintitle, | |
| 60 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
60 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 61 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
61 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 62 | show=show) |
|
62 | show=show) | |
| 63 |
|
63 | |||
| 64 | nrow, ncol = self.getSubplots() |
|
64 | nrow, ncol = self.getSubplots() | |
| 65 |
|
65 | |||
| 66 | counter = 0 |
|
66 | counter = 0 | |
| 67 | for y in range(nrow): |
|
67 | for y in range(nrow): | |
| 68 | for x in range(ncol): |
|
68 | for x in range(ncol): | |
| 69 |
|
69 | |||
| 70 | if counter >= self.nplots: |
|
70 | if counter >= self.nplots: | |
| 71 | break |
|
71 | break | |
| 72 |
|
72 | |||
| 73 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
73 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 74 |
|
74 | |||
| 75 | if showprofile: |
|
75 | if showprofile: | |
| 76 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
76 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 77 |
|
77 | |||
| 78 | counter += 1 |
|
78 | counter += 1 | |
| 79 |
|
79 | |||
| 80 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
80 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 81 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
81 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 82 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
82 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 83 | server=None, folder=None, username=None, password=None, |
|
83 | server=None, folder=None, username=None, password=None, | |
| 84 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
84 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
| 85 | xaxis="frequency", colormap='jet', normFactor=None , GauSelector = 1): |
|
85 | xaxis="frequency", colormap='jet', normFactor=None , GauSelector = 1): | |
| 86 |
|
86 | |||
| 87 | """ |
|
87 | """ | |
| 88 |
|
88 | |||
| 89 | Input: |
|
89 | Input: | |
| 90 | dataOut : |
|
90 | dataOut : | |
| 91 | id : |
|
91 | id : | |
| 92 | wintitle : |
|
92 | wintitle : | |
| 93 | channelList : |
|
93 | channelList : | |
| 94 | showProfile : |
|
94 | showProfile : | |
| 95 | xmin : None, |
|
95 | xmin : None, | |
| 96 | xmax : None, |
|
96 | xmax : None, | |
| 97 | ymin : None, |
|
97 | ymin : None, | |
| 98 | ymax : None, |
|
98 | ymax : None, | |
| 99 | zmin : None, |
|
99 | zmin : None, | |
| 100 | zmax : None |
|
100 | zmax : None | |
| 101 | """ |
|
101 | """ | |
| 102 | if realtime: |
|
102 | if realtime: | |
| 103 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
103 | if not(isRealtime(utcdatatime = dataOut.utctime)): | |
| 104 | print 'Skipping this plot function' |
|
104 | print 'Skipping this plot function' | |
| 105 | return |
|
105 | return | |
| 106 |
|
106 | |||
| 107 | if channelList == None: |
|
107 | if channelList == None: | |
| 108 | channelIndexList = dataOut.channelIndexList |
|
108 | channelIndexList = dataOut.channelIndexList | |
| 109 | else: |
|
109 | else: | |
| 110 | channelIndexList = [] |
|
110 | channelIndexList = [] | |
| 111 | for channel in channelList: |
|
111 | for channel in channelList: | |
| 112 | if channel not in dataOut.channelList: |
|
112 | if channel not in dataOut.channelList: | |
| 113 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel |
|
113 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel | |
| 114 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
114 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 115 |
|
115 | |||
| 116 | # if normFactor is None: |
|
116 | # if normFactor is None: | |
| 117 | # factor = dataOut.normFactor |
|
117 | # factor = dataOut.normFactor | |
| 118 | # else: |
|
118 | # else: | |
| 119 | # factor = normFactor |
|
119 | # factor = normFactor | |
| 120 | if xaxis == "frequency": |
|
120 | if xaxis == "frequency": | |
| 121 | x = dataOut.spc_range[0] |
|
121 | x = dataOut.spc_range[0] | |
| 122 | xlabel = "Frequency (kHz)" |
|
122 | xlabel = "Frequency (kHz)" | |
| 123 |
|
123 | |||
| 124 | elif xaxis == "time": |
|
124 | elif xaxis == "time": | |
| 125 | x = dataOut.spc_range[1] |
|
125 | x = dataOut.spc_range[1] | |
| 126 | xlabel = "Time (ms)" |
|
126 | xlabel = "Time (ms)" | |
| 127 |
|
127 | |||
| 128 | else: |
|
128 | else: | |
| 129 | x = dataOut.spc_range[2] |
|
129 | x = dataOut.spc_range[2] | |
| 130 | xlabel = "Velocity (m/s)" |
|
130 | xlabel = "Velocity (m/s)" | |
| 131 |
|
131 | |||
| 132 | ylabel = "Range (Km)" |
|
132 | ylabel = "Range (Km)" | |
| 133 |
|
133 | |||
| 134 | y = dataOut.getHeiRange() |
|
134 | y = dataOut.getHeiRange() | |
| 135 |
|
135 | |||
| 136 | z = dataOut.GauSPC[:,GauSelector,:,:] #GauSelector] #dataOut.data_spc/factor |
|
136 | z = dataOut.GauSPC[:,GauSelector,:,:] #GauSelector] #dataOut.data_spc/factor | |
| 137 | print 'GausSPC', z[0,32,10:40] |
|
137 | print 'GausSPC', z[0,32,10:40] | |
| 138 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
138 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 139 | zdB = 10*numpy.log10(z) |
|
139 | zdB = 10*numpy.log10(z) | |
| 140 |
|
140 | |||
| 141 | avg = numpy.average(z, axis=1) |
|
141 | avg = numpy.average(z, axis=1) | |
| 142 | avgdB = 10*numpy.log10(avg) |
|
142 | avgdB = 10*numpy.log10(avg) | |
| 143 |
|
143 | |||
| 144 | noise = dataOut.spc_noise |
|
144 | noise = dataOut.spc_noise | |
| 145 | noisedB = 10*numpy.log10(noise) |
|
145 | noisedB = 10*numpy.log10(noise) | |
| 146 |
|
146 | |||
| 147 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
147 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 148 | title = wintitle + " Spectra" |
|
148 | title = wintitle + " Spectra" | |
| 149 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
149 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 150 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
150 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 151 |
|
151 | |||
| 152 | if not self.isConfig: |
|
152 | if not self.isConfig: | |
| 153 |
|
153 | |||
| 154 | nplots = len(channelIndexList) |
|
154 | nplots = len(channelIndexList) | |
| 155 |
|
155 | |||
| 156 | self.setup(id=id, |
|
156 | self.setup(id=id, | |
| 157 | nplots=nplots, |
|
157 | nplots=nplots, | |
| 158 | wintitle=wintitle, |
|
158 | wintitle=wintitle, | |
| 159 | showprofile=showprofile, |
|
159 | showprofile=showprofile, | |
| 160 | show=show) |
|
160 | show=show) | |
| 161 |
|
161 | |||
| 162 | if xmin == None: xmin = numpy.nanmin(x) |
|
162 | if xmin == None: xmin = numpy.nanmin(x) | |
| 163 | if xmax == None: xmax = numpy.nanmax(x) |
|
163 | if xmax == None: xmax = numpy.nanmax(x) | |
| 164 | if ymin == None: ymin = numpy.nanmin(y) |
|
164 | if ymin == None: ymin = numpy.nanmin(y) | |
| 165 | if ymax == None: ymax = numpy.nanmax(y) |
|
165 | if ymax == None: ymax = numpy.nanmax(y) | |
| 166 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
166 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 167 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
167 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 168 |
|
168 | |||
| 169 | self.FTP_WEI = ftp_wei |
|
169 | self.FTP_WEI = ftp_wei | |
| 170 | self.EXP_CODE = exp_code |
|
170 | self.EXP_CODE = exp_code | |
| 171 | self.SUB_EXP_CODE = sub_exp_code |
|
171 | self.SUB_EXP_CODE = sub_exp_code | |
| 172 | self.PLOT_POS = plot_pos |
|
172 | self.PLOT_POS = plot_pos | |
| 173 |
|
173 | |||
| 174 | self.isConfig = True |
|
174 | self.isConfig = True | |
| 175 |
|
175 | |||
| 176 | self.setWinTitle(title) |
|
176 | self.setWinTitle(title) | |
| 177 |
|
177 | |||
| 178 | for i in range(self.nplots): |
|
178 | for i in range(self.nplots): | |
| 179 | index = channelIndexList[i] |
|
179 | index = channelIndexList[i] | |
| 180 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
180 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 181 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
181 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) | |
| 182 | if len(dataOut.beam.codeList) != 0: |
|
182 | if len(dataOut.beam.codeList) != 0: | |
| 183 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
183 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) | |
| 184 |
|
184 | |||
| 185 | axes = self.axesList[i*self.__nsubplots] |
|
185 | axes = self.axesList[i*self.__nsubplots] | |
| 186 | axes.pcolor(x, y, zdB[index,:,:], |
|
186 | axes.pcolor(x, y, zdB[index,:,:], | |
| 187 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
187 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 188 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
188 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, | |
| 189 | ticksize=9, cblabel='') |
|
189 | ticksize=9, cblabel='') | |
| 190 |
|
190 | |||
| 191 | if self.__showprofile: |
|
191 | if self.__showprofile: | |
| 192 | axes = self.axesList[i*self.__nsubplots +1] |
|
192 | axes = self.axesList[i*self.__nsubplots +1] | |
| 193 | axes.pline(avgdB[index,:], y, |
|
193 | axes.pline(avgdB[index,:], y, | |
| 194 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
194 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 195 | xlabel='dB', ylabel='', title='', |
|
195 | xlabel='dB', ylabel='', title='', | |
| 196 | ytick_visible=False, |
|
196 | ytick_visible=False, | |
| 197 | grid='x') |
|
197 | grid='x') | |
| 198 |
|
198 | |||
| 199 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
199 | noiseline = numpy.repeat(noisedB[index], len(y)) | |
| 200 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
200 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |
| 201 |
|
201 | |||
| 202 | self.draw() |
|
202 | self.draw() | |
| 203 |
|
203 | |||
| 204 | if figfile == None: |
|
204 | if figfile == None: | |
| 205 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
205 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 206 | name = str_datetime |
|
206 | name = str_datetime | |
| 207 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
207 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 208 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
208 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
| 209 | figfile = self.getFilename(name) |
|
209 | figfile = self.getFilename(name) | |
| 210 |
|
210 | |||
| 211 | self.save(figpath=figpath, |
|
211 | self.save(figpath=figpath, | |
| 212 | figfile=figfile, |
|
212 | figfile=figfile, | |
| 213 | save=save, |
|
213 | save=save, | |
| 214 | ftp=ftp, |
|
214 | ftp=ftp, | |
| 215 | wr_period=wr_period, |
|
215 | wr_period=wr_period, | |
| 216 | thisDatetime=thisDatetime) |
|
216 | thisDatetime=thisDatetime) | |
| 217 |
|
217 | |||
| 218 |
|
218 | |||
| 219 |
|
219 | |||
| 220 | class MomentsPlot(Figure): |
|
220 | class MomentsPlot(Figure): | |
| 221 |
|
221 | |||
| 222 | isConfig = None |
|
222 | isConfig = None | |
| 223 | __nsubplots = None |
|
223 | __nsubplots = None | |
| 224 |
|
224 | |||
| 225 | WIDTHPROF = None |
|
225 | WIDTHPROF = None | |
| 226 | HEIGHTPROF = None |
|
226 | HEIGHTPROF = None | |
| 227 | PREFIX = 'prm' |
|
227 | PREFIX = 'prm' | |
| 228 | def __init__(self, **kwargs): |
|
228 | def __init__(self, **kwargs): | |
| 229 | Figure.__init__(self, **kwargs) |
|
229 | Figure.__init__(self, **kwargs) | |
| 230 | self.isConfig = False |
|
230 | self.isConfig = False | |
| 231 | self.__nsubplots = 1 |
|
231 | self.__nsubplots = 1 | |
| 232 |
|
232 | |||
| 233 | self.WIDTH = 280 |
|
233 | self.WIDTH = 280 | |
| 234 | self.HEIGHT = 250 |
|
234 | self.HEIGHT = 250 | |
| 235 | self.WIDTHPROF = 120 |
|
235 | self.WIDTHPROF = 120 | |
| 236 | self.HEIGHTPROF = 0 |
|
236 | self.HEIGHTPROF = 0 | |
| 237 | self.counter_imagwr = 0 |
|
237 | self.counter_imagwr = 0 | |
| 238 |
|
238 | |||
| 239 | self.PLOT_CODE = MOMENTS_CODE |
|
239 | self.PLOT_CODE = MOMENTS_CODE | |
| 240 |
|
240 | |||
| 241 | self.FTP_WEI = None |
|
241 | self.FTP_WEI = None | |
| 242 | self.EXP_CODE = None |
|
242 | self.EXP_CODE = None | |
| 243 | self.SUB_EXP_CODE = None |
|
243 | self.SUB_EXP_CODE = None | |
| 244 | self.PLOT_POS = None |
|
244 | self.PLOT_POS = None | |
| 245 |
|
245 | |||
| 246 | def getSubplots(self): |
|
246 | def getSubplots(self): | |
| 247 |
|
247 | |||
| 248 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
248 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 249 | nrow = int(self.nplots*1./ncol + 0.9) |
|
249 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 250 |
|
250 | |||
| 251 | return nrow, ncol |
|
251 | return nrow, ncol | |
| 252 |
|
252 | |||
| 253 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
253 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 254 |
|
254 | |||
| 255 | self.__showprofile = showprofile |
|
255 | self.__showprofile = showprofile | |
| 256 | self.nplots = nplots |
|
256 | self.nplots = nplots | |
| 257 |
|
257 | |||
| 258 | ncolspan = 1 |
|
258 | ncolspan = 1 | |
| 259 | colspan = 1 |
|
259 | colspan = 1 | |
| 260 | if showprofile: |
|
260 | if showprofile: | |
| 261 | ncolspan = 3 |
|
261 | ncolspan = 3 | |
| 262 | colspan = 2 |
|
262 | colspan = 2 | |
| 263 | self.__nsubplots = 2 |
|
263 | self.__nsubplots = 2 | |
| 264 |
|
264 | |||
| 265 | self.createFigure(id = id, |
|
265 | self.createFigure(id = id, | |
| 266 | wintitle = wintitle, |
|
266 | wintitle = wintitle, | |
| 267 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
267 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 268 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
268 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 269 | show=show) |
|
269 | show=show) | |
| 270 |
|
270 | |||
| 271 | nrow, ncol = self.getSubplots() |
|
271 | nrow, ncol = self.getSubplots() | |
| 272 |
|
272 | |||
| 273 | counter = 0 |
|
273 | counter = 0 | |
| 274 | for y in range(nrow): |
|
274 | for y in range(nrow): | |
| 275 | for x in range(ncol): |
|
275 | for x in range(ncol): | |
| 276 |
|
276 | |||
| 277 | if counter >= self.nplots: |
|
277 | if counter >= self.nplots: | |
| 278 | break |
|
278 | break | |
| 279 |
|
279 | |||
| 280 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
280 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 281 |
|
281 | |||
| 282 | if showprofile: |
|
282 | if showprofile: | |
| 283 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
283 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 284 |
|
284 | |||
| 285 | counter += 1 |
|
285 | counter += 1 | |
| 286 |
|
286 | |||
| 287 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
287 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 288 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
288 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 289 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
289 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 290 | server=None, folder=None, username=None, password=None, |
|
290 | server=None, folder=None, username=None, password=None, | |
| 291 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
291 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): | |
| 292 |
|
292 | |||
| 293 | """ |
|
293 | """ | |
| 294 |
|
294 | |||
| 295 | Input: |
|
295 | Input: | |
| 296 | dataOut : |
|
296 | dataOut : | |
| 297 | id : |
|
297 | id : | |
| 298 | wintitle : |
|
298 | wintitle : | |
| 299 | channelList : |
|
299 | channelList : | |
| 300 | showProfile : |
|
300 | showProfile : | |
| 301 | xmin : None, |
|
301 | xmin : None, | |
| 302 | xmax : None, |
|
302 | xmax : None, | |
| 303 | ymin : None, |
|
303 | ymin : None, | |
| 304 | ymax : None, |
|
304 | ymax : None, | |
| 305 | zmin : None, |
|
305 | zmin : None, | |
| 306 | zmax : None |
|
306 | zmax : None | |
| 307 | """ |
|
307 | """ | |
| 308 |
|
308 | |||
| 309 | if dataOut.flagNoData: |
|
309 | if dataOut.flagNoData: | |
| 310 | return None |
|
310 | return None | |
| 311 |
|
311 | |||
| 312 | if realtime: |
|
312 | if realtime: | |
| 313 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
313 | if not(isRealtime(utcdatatime = dataOut.utctime)): | |
| 314 | print 'Skipping this plot function' |
|
314 | print 'Skipping this plot function' | |
| 315 | return |
|
315 | return | |
| 316 |
|
316 | |||
| 317 | if channelList == None: |
|
317 | if channelList == None: | |
| 318 | channelIndexList = dataOut.channelIndexList |
|
318 | channelIndexList = dataOut.channelIndexList | |
| 319 | else: |
|
319 | else: | |
| 320 | channelIndexList = [] |
|
320 | channelIndexList = [] | |
| 321 | for channel in channelList: |
|
321 | for channel in channelList: | |
| 322 | if channel not in dataOut.channelList: |
|
322 | if channel not in dataOut.channelList: | |
| 323 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
323 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 324 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
324 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 325 |
|
325 | |||
| 326 | factor = dataOut.normFactor |
|
326 | factor = dataOut.normFactor | |
| 327 | x = dataOut.abscissaList |
|
327 | x = dataOut.abscissaList | |
| 328 | y = dataOut.heightList |
|
328 | y = dataOut.heightList | |
| 329 |
|
329 | |||
| 330 | z = dataOut.data_pre[channelIndexList,:,:]/factor |
|
330 | z = dataOut.data_pre[channelIndexList,:,:]/factor | |
| 331 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
331 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 332 | avg = numpy.average(z, axis=1) |
|
332 | avg = numpy.average(z, axis=1) | |
| 333 | noise = dataOut.noise/factor |
|
333 | noise = dataOut.noise/factor | |
| 334 |
|
334 | |||
| 335 | zdB = 10*numpy.log10(z) |
|
335 | zdB = 10*numpy.log10(z) | |
| 336 | avgdB = 10*numpy.log10(avg) |
|
336 | avgdB = 10*numpy.log10(avg) | |
| 337 | noisedB = 10*numpy.log10(noise) |
|
337 | noisedB = 10*numpy.log10(noise) | |
| 338 |
|
338 | |||
| 339 | #thisDatetime = dataOut.datatime |
|
339 | #thisDatetime = dataOut.datatime | |
| 340 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
340 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 341 | title = wintitle + " Parameters" |
|
341 | title = wintitle + " Parameters" | |
| 342 | xlabel = "Velocity (m/s)" |
|
342 | xlabel = "Velocity (m/s)" | |
| 343 | ylabel = "Range (Km)" |
|
343 | ylabel = "Range (Km)" | |
| 344 |
|
344 | |||
| 345 | update_figfile = False |
|
345 | update_figfile = False | |
| 346 |
|
346 | |||
| 347 | if not self.isConfig: |
|
347 | if not self.isConfig: | |
| 348 |
|
348 | |||
| 349 | nplots = len(channelIndexList) |
|
349 | nplots = len(channelIndexList) | |
| 350 |
|
350 | |||
| 351 | self.setup(id=id, |
|
351 | self.setup(id=id, | |
| 352 | nplots=nplots, |
|
352 | nplots=nplots, | |
| 353 | wintitle=wintitle, |
|
353 | wintitle=wintitle, | |
| 354 | showprofile=showprofile, |
|
354 | showprofile=showprofile, | |
| 355 | show=show) |
|
355 | show=show) | |
| 356 |
|
356 | |||
| 357 | if xmin == None: xmin = numpy.nanmin(x) |
|
357 | if xmin == None: xmin = numpy.nanmin(x) | |
| 358 | if xmax == None: xmax = numpy.nanmax(x) |
|
358 | if xmax == None: xmax = numpy.nanmax(x) | |
| 359 | if ymin == None: ymin = numpy.nanmin(y) |
|
359 | if ymin == None: ymin = numpy.nanmin(y) | |
| 360 | if ymax == None: ymax = numpy.nanmax(y) |
|
360 | if ymax == None: ymax = numpy.nanmax(y) | |
| 361 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
361 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 | |
| 362 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
362 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 | |
| 363 |
|
363 | |||
| 364 | self.FTP_WEI = ftp_wei |
|
364 | self.FTP_WEI = ftp_wei | |
| 365 | self.EXP_CODE = exp_code |
|
365 | self.EXP_CODE = exp_code | |
| 366 | self.SUB_EXP_CODE = sub_exp_code |
|
366 | self.SUB_EXP_CODE = sub_exp_code | |
| 367 | self.PLOT_POS = plot_pos |
|
367 | self.PLOT_POS = plot_pos | |
| 368 |
|
368 | |||
| 369 | self.isConfig = True |
|
369 | self.isConfig = True | |
| 370 | update_figfile = True |
|
370 | update_figfile = True | |
| 371 |
|
371 | |||
| 372 | self.setWinTitle(title) |
|
372 | self.setWinTitle(title) | |
| 373 |
|
373 | |||
| 374 | for i in range(self.nplots): |
|
374 | for i in range(self.nplots): | |
| 375 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
375 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 376 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime) |
|
376 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime) | |
| 377 | axes = self.axesList[i*self.__nsubplots] |
|
377 | axes = self.axesList[i*self.__nsubplots] | |
| 378 | axes.pcolor(x, y, zdB[i,:,:], |
|
378 | axes.pcolor(x, y, zdB[i,:,:], | |
| 379 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
379 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 380 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
380 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 381 | ticksize=9, cblabel='') |
|
381 | ticksize=9, cblabel='') | |
| 382 | #Mean Line |
|
382 | #Mean Line | |
| 383 | mean = dataOut.data_param[i, 1, :] |
|
383 | mean = dataOut.data_param[i, 1, :] | |
| 384 | axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1) |
|
384 | axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1) | |
| 385 |
|
385 | |||
| 386 | if self.__showprofile: |
|
386 | if self.__showprofile: | |
| 387 | axes = self.axesList[i*self.__nsubplots +1] |
|
387 | axes = self.axesList[i*self.__nsubplots +1] | |
| 388 | axes.pline(avgdB[i], y, |
|
388 | axes.pline(avgdB[i], y, | |
| 389 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
389 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 390 | xlabel='dB', ylabel='', title='', |
|
390 | xlabel='dB', ylabel='', title='', | |
| 391 | ytick_visible=False, |
|
391 | ytick_visible=False, | |
| 392 | grid='x') |
|
392 | grid='x') | |
| 393 |
|
393 | |||
| 394 | noiseline = numpy.repeat(noisedB[i], len(y)) |
|
394 | noiseline = numpy.repeat(noisedB[i], len(y)) | |
| 395 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
395 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |
| 396 |
|
396 | |||
| 397 | self.draw() |
|
397 | self.draw() | |
| 398 |
|
398 | |||
| 399 | self.save(figpath=figpath, |
|
399 | self.save(figpath=figpath, | |
| 400 | figfile=figfile, |
|
400 | figfile=figfile, | |
| 401 | save=save, |
|
401 | save=save, | |
| 402 | ftp=ftp, |
|
402 | ftp=ftp, | |
| 403 | wr_period=wr_period, |
|
403 | wr_period=wr_period, | |
| 404 | thisDatetime=thisDatetime) |
|
404 | thisDatetime=thisDatetime) | |
| 405 |
|
405 | |||
| 406 |
|
406 | |||
| 407 |
|
407 | |||
| 408 | class SkyMapPlot(Figure): |
|
408 | class SkyMapPlot(Figure): | |
| 409 |
|
409 | |||
| 410 | __isConfig = None |
|
410 | __isConfig = None | |
| 411 | __nsubplots = None |
|
411 | __nsubplots = None | |
| 412 |
|
412 | |||
| 413 | WIDTHPROF = None |
|
413 | WIDTHPROF = None | |
| 414 | HEIGHTPROF = None |
|
414 | HEIGHTPROF = None | |
| 415 | PREFIX = 'mmap' |
|
415 | PREFIX = 'mmap' | |
| 416 |
|
416 | |||
| 417 | def __init__(self, **kwargs): |
|
417 | def __init__(self, **kwargs): | |
| 418 | Figure.__init__(self, **kwargs) |
|
418 | Figure.__init__(self, **kwargs) | |
| 419 | self.isConfig = False |
|
419 | self.isConfig = False | |
| 420 | self.__nsubplots = 1 |
|
420 | self.__nsubplots = 1 | |
| 421 |
|
421 | |||
| 422 | # self.WIDTH = 280 |
|
422 | # self.WIDTH = 280 | |
| 423 | # self.HEIGHT = 250 |
|
423 | # self.HEIGHT = 250 | |
| 424 | self.WIDTH = 600 |
|
424 | self.WIDTH = 600 | |
| 425 | self.HEIGHT = 600 |
|
425 | self.HEIGHT = 600 | |
| 426 | self.WIDTHPROF = 120 |
|
426 | self.WIDTHPROF = 120 | |
| 427 | self.HEIGHTPROF = 0 |
|
427 | self.HEIGHTPROF = 0 | |
| 428 | self.counter_imagwr = 0 |
|
428 | self.counter_imagwr = 0 | |
| 429 |
|
429 | |||
| 430 | self.PLOT_CODE = MSKYMAP_CODE |
|
430 | self.PLOT_CODE = MSKYMAP_CODE | |
| 431 |
|
431 | |||
| 432 | self.FTP_WEI = None |
|
432 | self.FTP_WEI = None | |
| 433 | self.EXP_CODE = None |
|
433 | self.EXP_CODE = None | |
| 434 | self.SUB_EXP_CODE = None |
|
434 | self.SUB_EXP_CODE = None | |
| 435 | self.PLOT_POS = None |
|
435 | self.PLOT_POS = None | |
| 436 |
|
436 | |||
| 437 | def getSubplots(self): |
|
437 | def getSubplots(self): | |
| 438 |
|
438 | |||
| 439 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
439 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 440 | nrow = int(self.nplots*1./ncol + 0.9) |
|
440 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 441 |
|
441 | |||
| 442 | return nrow, ncol |
|
442 | return nrow, ncol | |
| 443 |
|
443 | |||
| 444 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
444 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): | |
| 445 |
|
445 | |||
| 446 | self.__showprofile = showprofile |
|
446 | self.__showprofile = showprofile | |
| 447 | self.nplots = nplots |
|
447 | self.nplots = nplots | |
| 448 |
|
448 | |||
| 449 | ncolspan = 1 |
|
449 | ncolspan = 1 | |
| 450 | colspan = 1 |
|
450 | colspan = 1 | |
| 451 |
|
451 | |||
| 452 | self.createFigure(id = id, |
|
452 | self.createFigure(id = id, | |
| 453 | wintitle = wintitle, |
|
453 | wintitle = wintitle, | |
| 454 | widthplot = self.WIDTH, #+ self.WIDTHPROF, |
|
454 | widthplot = self.WIDTH, #+ self.WIDTHPROF, | |
| 455 | heightplot = self.HEIGHT,# + self.HEIGHTPROF, |
|
455 | heightplot = self.HEIGHT,# + self.HEIGHTPROF, | |
| 456 | show=show) |
|
456 | show=show) | |
| 457 |
|
457 | |||
| 458 | nrow, ncol = 1,1 |
|
458 | nrow, ncol = 1,1 | |
| 459 | counter = 0 |
|
459 | counter = 0 | |
| 460 | x = 0 |
|
460 | x = 0 | |
| 461 | y = 0 |
|
461 | y = 0 | |
| 462 | self.addAxes(1, 1, 0, 0, 1, 1, True) |
|
462 | self.addAxes(1, 1, 0, 0, 1, 1, True) | |
| 463 |
|
463 | |||
| 464 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
464 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, | |
| 465 | tmin=0, tmax=24, timerange=None, |
|
465 | tmin=0, tmax=24, timerange=None, | |
| 466 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
466 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 467 | server=None, folder=None, username=None, password=None, |
|
467 | server=None, folder=None, username=None, password=None, | |
| 468 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
468 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): | |
| 469 |
|
469 | |||
| 470 | """ |
|
470 | """ | |
| 471 |
|
471 | |||
| 472 | Input: |
|
472 | Input: | |
| 473 | dataOut : |
|
473 | dataOut : | |
| 474 | id : |
|
474 | id : | |
| 475 | wintitle : |
|
475 | wintitle : | |
| 476 | channelList : |
|
476 | channelList : | |
| 477 | showProfile : |
|
477 | showProfile : | |
| 478 | xmin : None, |
|
478 | xmin : None, | |
| 479 | xmax : None, |
|
479 | xmax : None, | |
| 480 | ymin : None, |
|
480 | ymin : None, | |
| 481 | ymax : None, |
|
481 | ymax : None, | |
| 482 | zmin : None, |
|
482 | zmin : None, | |
| 483 | zmax : None |
|
483 | zmax : None | |
| 484 | """ |
|
484 | """ | |
| 485 |
|
485 | |||
| 486 | arrayParameters = dataOut.data_param |
|
486 | arrayParameters = dataOut.data_param | |
| 487 | error = arrayParameters[:,-1] |
|
487 | error = arrayParameters[:,-1] | |
| 488 | indValid = numpy.where(error == 0)[0] |
|
488 | indValid = numpy.where(error == 0)[0] | |
| 489 | finalMeteor = arrayParameters[indValid,:] |
|
489 | finalMeteor = arrayParameters[indValid,:] | |
| 490 | finalAzimuth = finalMeteor[:,3] |
|
490 | finalAzimuth = finalMeteor[:,3] | |
| 491 | finalZenith = finalMeteor[:,4] |
|
491 | finalZenith = finalMeteor[:,4] | |
| 492 |
|
492 | |||
| 493 | x = finalAzimuth*numpy.pi/180 |
|
493 | x = finalAzimuth*numpy.pi/180 | |
| 494 | y = finalZenith |
|
494 | y = finalZenith | |
| 495 | x1 = [dataOut.ltctime, dataOut.ltctime] |
|
495 | x1 = [dataOut.ltctime, dataOut.ltctime] | |
| 496 |
|
496 | |||
| 497 | #thisDatetime = dataOut.datatime |
|
497 | #thisDatetime = dataOut.datatime | |
| 498 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
498 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 499 | title = wintitle + " Parameters" |
|
499 | title = wintitle + " Parameters" | |
| 500 | xlabel = "Zonal Zenith Angle (deg) " |
|
500 | xlabel = "Zonal Zenith Angle (deg) " | |
| 501 | ylabel = "Meridional Zenith Angle (deg)" |
|
501 | ylabel = "Meridional Zenith Angle (deg)" | |
| 502 | update_figfile = False |
|
502 | update_figfile = False | |
| 503 |
|
503 | |||
| 504 | if not self.isConfig: |
|
504 | if not self.isConfig: | |
| 505 |
|
505 | |||
| 506 | nplots = 1 |
|
506 | nplots = 1 | |
| 507 |
|
507 | |||
| 508 | self.setup(id=id, |
|
508 | self.setup(id=id, | |
| 509 | nplots=nplots, |
|
509 | nplots=nplots, | |
| 510 | wintitle=wintitle, |
|
510 | wintitle=wintitle, | |
| 511 | showprofile=showprofile, |
|
511 | showprofile=showprofile, | |
| 512 | show=show) |
|
512 | show=show) | |
| 513 |
|
513 | |||
| 514 | if self.xmin is None and self.xmax is None: |
|
514 | if self.xmin is None and self.xmax is None: | |
| 515 | self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange) |
|
515 | self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange) | |
| 516 |
|
516 | |||
| 517 | if timerange != None: |
|
517 | if timerange != None: | |
| 518 | self.timerange = timerange |
|
518 | self.timerange = timerange | |
| 519 | else: |
|
519 | else: | |
| 520 | self.timerange = self.xmax - self.xmin |
|
520 | self.timerange = self.xmax - self.xmin | |
| 521 |
|
521 | |||
| 522 | self.FTP_WEI = ftp_wei |
|
522 | self.FTP_WEI = ftp_wei | |
| 523 | self.EXP_CODE = exp_code |
|
523 | self.EXP_CODE = exp_code | |
| 524 | self.SUB_EXP_CODE = sub_exp_code |
|
524 | self.SUB_EXP_CODE = sub_exp_code | |
| 525 | self.PLOT_POS = plot_pos |
|
525 | self.PLOT_POS = plot_pos | |
| 526 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
526 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 527 | self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
527 | self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 528 | self.isConfig = True |
|
528 | self.isConfig = True | |
| 529 | update_figfile = True |
|
529 | update_figfile = True | |
| 530 |
|
530 | |||
| 531 | self.setWinTitle(title) |
|
531 | self.setWinTitle(title) | |
| 532 |
|
532 | |||
| 533 | i = 0 |
|
533 | i = 0 | |
| 534 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
534 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 535 |
|
535 | |||
| 536 | axes = self.axesList[i*self.__nsubplots] |
|
536 | axes = self.axesList[i*self.__nsubplots] | |
| 537 | nevents = axes.x_buffer.shape[0] + x.shape[0] |
|
537 | nevents = axes.x_buffer.shape[0] + x.shape[0] | |
| 538 | title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents) |
|
538 | title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents) | |
| 539 | axes.polar(x, y, |
|
539 | axes.polar(x, y, | |
| 540 | title=title, xlabel=xlabel, ylabel=ylabel, |
|
540 | title=title, xlabel=xlabel, ylabel=ylabel, | |
| 541 | ticksize=9, cblabel='') |
|
541 | ticksize=9, cblabel='') | |
| 542 |
|
542 | |||
| 543 | self.draw() |
|
543 | self.draw() | |
| 544 |
|
544 | |||
| 545 | self.save(figpath=figpath, |
|
545 | self.save(figpath=figpath, | |
| 546 | figfile=figfile, |
|
546 | figfile=figfile, | |
| 547 | save=save, |
|
547 | save=save, | |
| 548 | ftp=ftp, |
|
548 | ftp=ftp, | |
| 549 | wr_period=wr_period, |
|
549 | wr_period=wr_period, | |
| 550 | thisDatetime=thisDatetime, |
|
550 | thisDatetime=thisDatetime, | |
| 551 | update_figfile=update_figfile) |
|
551 | update_figfile=update_figfile) | |
| 552 |
|
552 | |||
| 553 | if dataOut.ltctime >= self.xmax: |
|
553 | if dataOut.ltctime >= self.xmax: | |
| 554 | self.isConfigmagwr = wr_period |
|
554 | self.isConfigmagwr = wr_period | |
| 555 | self.isConfig = False |
|
555 | self.isConfig = False | |
| 556 | update_figfile = True |
|
556 | update_figfile = True | |
| 557 | axes.__firsttime = True |
|
557 | axes.__firsttime = True | |
| 558 | self.xmin += self.timerange |
|
558 | self.xmin += self.timerange | |
| 559 | self.xmax += self.timerange |
|
559 | self.xmax += self.timerange | |
| 560 |
|
560 | |||
| 561 |
|
561 | |||
| 562 |
|
562 | |||
| 563 |
|
563 | |||
| 564 | class WindProfilerPlot(Figure): |
|
564 | class WindProfilerPlot(Figure): | |
| 565 |
|
565 | |||
| 566 | __isConfig = None |
|
566 | __isConfig = None | |
| 567 | __nsubplots = None |
|
567 | __nsubplots = None | |
| 568 |
|
568 | |||
| 569 | WIDTHPROF = None |
|
569 | WIDTHPROF = None | |
| 570 | HEIGHTPROF = None |
|
570 | HEIGHTPROF = None | |
| 571 | PREFIX = 'wind' |
|
571 | PREFIX = 'wind' | |
| 572 |
|
572 | |||
| 573 | def __init__(self, **kwargs): |
|
573 | def __init__(self, **kwargs): | |
| 574 | Figure.__init__(self, **kwargs) |
|
574 | Figure.__init__(self, **kwargs) | |
| 575 | self.timerange = None |
|
575 | self.timerange = None | |
| 576 | self.isConfig = False |
|
576 | self.isConfig = False | |
| 577 | self.__nsubplots = 1 |
|
577 | self.__nsubplots = 1 | |
| 578 |
|
578 | |||
| 579 | self.WIDTH = 800 |
|
579 | self.WIDTH = 800 | |
| 580 | self.HEIGHT = 300 |
|
580 | self.HEIGHT = 300 | |
| 581 | self.WIDTHPROF = 120 |
|
581 | self.WIDTHPROF = 120 | |
| 582 | self.HEIGHTPROF = 0 |
|
582 | self.HEIGHTPROF = 0 | |
| 583 | self.counter_imagwr = 0 |
|
583 | self.counter_imagwr = 0 | |
| 584 |
|
584 | |||
| 585 | self.PLOT_CODE = WIND_CODE |
|
585 | self.PLOT_CODE = WIND_CODE | |
| 586 |
|
586 | |||
| 587 | self.FTP_WEI = None |
|
587 | self.FTP_WEI = None | |
| 588 | self.EXP_CODE = None |
|
588 | self.EXP_CODE = None | |
| 589 | self.SUB_EXP_CODE = None |
|
589 | self.SUB_EXP_CODE = None | |
| 590 | self.PLOT_POS = None |
|
590 | self.PLOT_POS = None | |
| 591 | self.tmin = None |
|
591 | self.tmin = None | |
| 592 | self.tmax = None |
|
592 | self.tmax = None | |
| 593 |
|
593 | |||
| 594 | self.xmin = None |
|
594 | self.xmin = None | |
| 595 | self.xmax = None |
|
595 | self.xmax = None | |
| 596 |
|
596 | |||
| 597 | self.figfile = None |
|
597 | self.figfile = None | |
| 598 |
|
598 | |||
| 599 | def getSubplots(self): |
|
599 | def getSubplots(self): | |
| 600 |
|
600 | |||
| 601 | ncol = 1 |
|
601 | ncol = 1 | |
| 602 | nrow = self.nplots |
|
602 | nrow = self.nplots | |
| 603 |
|
603 | |||
| 604 | return nrow, ncol |
|
604 | return nrow, ncol | |
| 605 |
|
605 | |||
| 606 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
606 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 607 |
|
607 | |||
| 608 | self.__showprofile = showprofile |
|
608 | self.__showprofile = showprofile | |
| 609 | self.nplots = nplots |
|
609 | self.nplots = nplots | |
| 610 |
|
610 | |||
| 611 | ncolspan = 1 |
|
611 | ncolspan = 1 | |
| 612 | colspan = 1 |
|
612 | colspan = 1 | |
| 613 |
|
613 | |||
| 614 | self.createFigure(id = id, |
|
614 | self.createFigure(id = id, | |
| 615 | wintitle = wintitle, |
|
615 | wintitle = wintitle, | |
| 616 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
616 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 617 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
617 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 618 | show=show) |
|
618 | show=show) | |
| 619 |
|
619 | |||
| 620 | nrow, ncol = self.getSubplots() |
|
620 | nrow, ncol = self.getSubplots() | |
| 621 |
|
621 | |||
| 622 | counter = 0 |
|
622 | counter = 0 | |
| 623 | for y in range(nrow): |
|
623 | for y in range(nrow): | |
| 624 | if counter >= self.nplots: |
|
624 | if counter >= self.nplots: | |
| 625 | break |
|
625 | break | |
| 626 |
|
626 | |||
| 627 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
627 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) | |
| 628 | counter += 1 |
|
628 | counter += 1 | |
| 629 |
|
629 | |||
| 630 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False', |
|
630 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False', | |
| 631 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
631 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 632 | zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None, |
|
632 | zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None, | |
| 633 | timerange=None, SNRthresh = None, |
|
633 | timerange=None, SNRthresh = None, | |
| 634 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
634 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 635 | server=None, folder=None, username=None, password=None, |
|
635 | server=None, folder=None, username=None, password=None, | |
| 636 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
636 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 637 | """ |
|
637 | """ | |
| 638 |
|
638 | |||
| 639 | Input: |
|
639 | Input: | |
| 640 | dataOut : |
|
640 | dataOut : | |
| 641 | id : |
|
641 | id : | |
| 642 | wintitle : |
|
642 | wintitle : | |
| 643 | channelList : |
|
643 | channelList : | |
| 644 | showProfile : |
|
644 | showProfile : | |
| 645 | xmin : None, |
|
645 | xmin : None, | |
| 646 | xmax : None, |
|
646 | xmax : None, | |
| 647 | ymin : None, |
|
647 | ymin : None, | |
| 648 | ymax : None, |
|
648 | ymax : None, | |
| 649 | zmin : None, |
|
649 | zmin : None, | |
| 650 | zmax : None |
|
650 | zmax : None | |
| 651 | """ |
|
651 | """ | |
| 652 |
|
652 | |||
| 653 | # if timerange is not None: |
|
653 | # if timerange is not None: | |
| 654 | # self.timerange = timerange |
|
654 | # self.timerange = timerange | |
| 655 | # |
|
655 | # | |
| 656 | # tmin = None |
|
656 | # tmin = None | |
| 657 | # tmax = None |
|
657 | # tmax = None | |
| 658 |
|
658 | |||
| 659 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
659 | x = dataOut.getTimeRange1(dataOut.paramInterval) | |
| 660 | y = dataOut.heightList |
|
660 | y = dataOut.heightList | |
| 661 | z = dataOut.data_output.copy() |
|
661 | z = dataOut.data_output.copy() | |
| 662 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
662 | nplots = z.shape[0] #Number of wind dimensions estimated | |
| 663 | nplotsw = nplots |
|
663 | nplotsw = nplots | |
| 664 |
|
664 | |||
| 665 |
|
665 | |||
| 666 | #If there is a SNR function defined |
|
666 | #If there is a SNR function defined | |
| 667 | if dataOut.data_SNR is not None: |
|
667 | if dataOut.data_SNR is not None: | |
| 668 | nplots += 1 |
|
668 | nplots += 1 | |
| 669 | SNR = dataOut.data_SNR |
|
669 | SNR = dataOut.data_SNR | |
| 670 | SNRavg = numpy.average(SNR, axis=0) |
|
670 | SNRavg = numpy.average(SNR, axis=0) | |
| 671 |
|
671 | |||
| 672 | SNRdB = 10*numpy.log10(SNR) |
|
672 | SNRdB = 10*numpy.log10(SNR) | |
| 673 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
673 | SNRavgdB = 10*numpy.log10(SNRavg) | |
| 674 |
|
674 | |||
| 675 | if SNRthresh == None: SNRthresh = -5.0 |
|
675 | if SNRthresh == None: SNRthresh = -5.0 | |
| 676 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
676 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] | |
| 677 |
|
677 | |||
| 678 | for i in range(nplotsw): |
|
678 | for i in range(nplotsw): | |
| 679 | z[i,ind] = numpy.nan |
|
679 | z[i,ind] = numpy.nan | |
| 680 |
|
680 | |||
| 681 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
681 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 682 | #thisDatetime = datetime.datetime.now() |
|
682 | #thisDatetime = datetime.datetime.now() | |
| 683 | title = wintitle + "Wind" |
|
683 | title = wintitle + "Wind" | |
| 684 | xlabel = "" |
|
684 | xlabel = "" | |
| 685 | ylabel = "Height (km)" |
|
685 | ylabel = "Height (km)" | |
| 686 | update_figfile = False |
|
686 | update_figfile = False | |
| 687 |
|
687 | |||
| 688 | if not self.isConfig: |
|
688 | if not self.isConfig: | |
| 689 |
|
689 | |||
| 690 | self.setup(id=id, |
|
690 | self.setup(id=id, | |
| 691 | nplots=nplots, |
|
691 | nplots=nplots, | |
| 692 | wintitle=wintitle, |
|
692 | wintitle=wintitle, | |
| 693 | showprofile=showprofile, |
|
693 | showprofile=showprofile, | |
| 694 | show=show) |
|
694 | show=show) | |
| 695 |
|
695 | |||
| 696 | if timerange is not None: |
|
696 | if timerange is not None: | |
| 697 | self.timerange = timerange |
|
697 | self.timerange = timerange | |
| 698 |
|
698 | |||
| 699 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
699 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 700 |
|
700 | |||
| 701 | if ymin == None: ymin = numpy.nanmin(y) |
|
701 | if ymin == None: ymin = numpy.nanmin(y) | |
| 702 | if ymax == None: ymax = numpy.nanmax(y) |
|
702 | if ymax == None: ymax = numpy.nanmax(y) | |
| 703 |
|
703 | |||
| 704 | if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:])) |
|
704 | if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:])) | |
| 705 | #if numpy.isnan(zmax): zmax = 50 |
|
705 | #if numpy.isnan(zmax): zmax = 50 | |
| 706 | if zmin == None: zmin = -zmax |
|
706 | if zmin == None: zmin = -zmax | |
| 707 |
|
707 | |||
| 708 | if nplotsw == 3: |
|
708 | if nplotsw == 3: | |
| 709 | if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:])) |
|
709 | if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:])) | |
| 710 | if zmin_ver == None: zmin_ver = -zmax_ver |
|
710 | if zmin_ver == None: zmin_ver = -zmax_ver | |
| 711 |
|
711 | |||
| 712 | if dataOut.data_SNR is not None: |
|
712 | if dataOut.data_SNR is not None: | |
| 713 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
713 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) | |
| 714 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
714 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) | |
| 715 |
|
715 | |||
| 716 |
|
716 | |||
| 717 | self.FTP_WEI = ftp_wei |
|
717 | self.FTP_WEI = ftp_wei | |
| 718 | self.EXP_CODE = exp_code |
|
718 | self.EXP_CODE = exp_code | |
| 719 | self.SUB_EXP_CODE = sub_exp_code |
|
719 | self.SUB_EXP_CODE = sub_exp_code | |
| 720 | self.PLOT_POS = plot_pos |
|
720 | self.PLOT_POS = plot_pos | |
| 721 |
|
721 | |||
| 722 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
722 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 723 | self.isConfig = True |
|
723 | self.isConfig = True | |
| 724 | self.figfile = figfile |
|
724 | self.figfile = figfile | |
| 725 | update_figfile = True |
|
725 | update_figfile = True | |
| 726 |
|
726 | |||
| 727 | self.setWinTitle(title) |
|
727 | self.setWinTitle(title) | |
| 728 |
|
728 | |||
| 729 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
729 | if ((self.xmax - x[1]) < (x[1]-x[0])): | |
| 730 | x[1] = self.xmax |
|
730 | x[1] = self.xmax | |
| 731 |
|
731 | |||
| 732 | strWind = ['Zonal', 'Meridional', 'Vertical'] |
|
732 | strWind = ['Zonal', 'Meridional', 'Vertical'] | |
| 733 | strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)'] |
|
733 | strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)'] | |
| 734 | zmaxVector = [zmax, zmax, zmax_ver] |
|
734 | zmaxVector = [zmax, zmax, zmax_ver] | |
| 735 | zminVector = [zmin, zmin, zmin_ver] |
|
735 | zminVector = [zmin, zmin, zmin_ver] | |
| 736 | windFactor = [1,1,100] |
|
736 | windFactor = [1,1,100] | |
| 737 |
|
737 | |||
| 738 | for i in range(nplotsw): |
|
738 | for i in range(nplotsw): | |
| 739 |
|
739 | |||
| 740 | title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
740 | title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 741 | axes = self.axesList[i*self.__nsubplots] |
|
741 | axes = self.axesList[i*self.__nsubplots] | |
| 742 |
|
742 | |||
| 743 | z1 = z[i,:].reshape((1,-1))*windFactor[i] |
|
743 | z1 = z[i,:].reshape((1,-1))*windFactor[i] | |
| 744 | #z1=numpy.ma.masked_where(z1==0.,z1) |
|
744 | #z1=numpy.ma.masked_where(z1==0.,z1) | |
| 745 |
|
745 | |||
| 746 | axes.pcolorbuffer(x, y, z1, |
|
746 | axes.pcolorbuffer(x, y, z1, | |
| 747 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
747 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], | |
| 748 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
748 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 749 | ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="seismic" ) |
|
749 | ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="seismic" ) | |
| 750 |
|
750 | |||
| 751 | if dataOut.data_SNR is not None: |
|
751 | if dataOut.data_SNR is not None: | |
| 752 | i += 1 |
|
752 | i += 1 | |
| 753 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
753 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 754 | axes = self.axesList[i*self.__nsubplots] |
|
754 | axes = self.axesList[i*self.__nsubplots] | |
| 755 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
755 | SNRavgdB = SNRavgdB.reshape((1,-1)) | |
| 756 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
756 | axes.pcolorbuffer(x, y, SNRavgdB, | |
| 757 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
757 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, | |
| 758 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
758 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 759 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
759 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") | |
| 760 |
|
760 | |||
| 761 | self.draw() |
|
761 | self.draw() | |
| 762 |
|
762 | |||
| 763 | self.save(figpath=figpath, |
|
763 | self.save(figpath=figpath, | |
| 764 | figfile=figfile, |
|
764 | figfile=figfile, | |
| 765 | save=save, |
|
765 | save=save, | |
| 766 | ftp=ftp, |
|
766 | ftp=ftp, | |
| 767 | wr_period=wr_period, |
|
767 | wr_period=wr_period, | |
| 768 | thisDatetime=thisDatetime, |
|
768 | thisDatetime=thisDatetime, | |
| 769 | update_figfile=update_figfile) |
|
769 | update_figfile=update_figfile) | |
| 770 |
|
770 | |||
| 771 | if dataOut.ltctime + dataOut.paramInterval >= self.xmax: |
|
771 | if dataOut.ltctime + dataOut.paramInterval >= self.xmax: | |
| 772 | self.counter_imagwr = wr_period |
|
772 | self.counter_imagwr = wr_period | |
| 773 | self.isConfig = False |
|
773 | self.isConfig = False | |
| 774 | update_figfile = True |
|
774 | update_figfile = True | |
| 775 |
|
775 | |||
| 776 |
|
776 | |||
| 777 | class ParametersPlot(Figure): |
|
777 | class ParametersPlot(Figure): | |
| 778 |
|
778 | |||
| 779 | __isConfig = None |
|
779 | __isConfig = None | |
| 780 | __nsubplots = None |
|
780 | __nsubplots = None | |
| 781 |
|
781 | |||
| 782 | WIDTHPROF = None |
|
782 | WIDTHPROF = None | |
| 783 | HEIGHTPROF = None |
|
783 | HEIGHTPROF = None | |
| 784 | PREFIX = 'param' |
|
784 | PREFIX = 'param' | |
| 785 |
|
785 | |||
| 786 | nplots = None |
|
786 | nplots = None | |
| 787 | nchan = None |
|
787 | nchan = None | |
| 788 |
|
788 | |||
| 789 | def __init__(self, **kwargs): |
|
789 | def __init__(self, **kwargs): | |
| 790 | Figure.__init__(self, **kwargs) |
|
790 | Figure.__init__(self, **kwargs) | |
| 791 | self.timerange = None |
|
791 | self.timerange = None | |
| 792 | self.isConfig = False |
|
792 | self.isConfig = False | |
| 793 | self.__nsubplots = 1 |
|
793 | self.__nsubplots = 1 | |
| 794 |
|
794 | |||
| 795 | self.WIDTH = 800 |
|
795 | self.WIDTH = 800 | |
| 796 | self.HEIGHT = 180 |
|
796 | self.HEIGHT = 180 | |
| 797 | self.WIDTHPROF = 120 |
|
797 | self.WIDTHPROF = 120 | |
| 798 | self.HEIGHTPROF = 0 |
|
798 | self.HEIGHTPROF = 0 | |
| 799 | self.counter_imagwr = 0 |
|
799 | self.counter_imagwr = 0 | |
| 800 |
|
800 | |||
| 801 | self.PLOT_CODE = RTI_CODE |
|
801 | self.PLOT_CODE = RTI_CODE | |
| 802 |
|
802 | |||
| 803 | self.FTP_WEI = None |
|
803 | self.FTP_WEI = None | |
| 804 | self.EXP_CODE = None |
|
804 | self.EXP_CODE = None | |
| 805 | self.SUB_EXP_CODE = None |
|
805 | self.SUB_EXP_CODE = None | |
| 806 | self.PLOT_POS = None |
|
806 | self.PLOT_POS = None | |
| 807 | self.tmin = None |
|
807 | self.tmin = None | |
| 808 | self.tmax = None |
|
808 | self.tmax = None | |
| 809 |
|
809 | |||
| 810 | self.xmin = None |
|
810 | self.xmin = None | |
| 811 | self.xmax = None |
|
811 | self.xmax = None | |
| 812 |
|
812 | |||
| 813 | self.figfile = None |
|
813 | self.figfile = None | |
| 814 |
|
814 | |||
| 815 | def getSubplots(self): |
|
815 | def getSubplots(self): | |
| 816 |
|
816 | |||
| 817 | ncol = 1 |
|
817 | ncol = 1 | |
| 818 | nrow = self.nplots |
|
818 | nrow = self.nplots | |
| 819 |
|
819 | |||
| 820 | return nrow, ncol |
|
820 | return nrow, ncol | |
| 821 |
|
821 | |||
| 822 | def setup(self, id, nplots, wintitle, show=True): |
|
822 | def setup(self, id, nplots, wintitle, show=True): | |
| 823 |
|
823 | |||
| 824 | self.nplots = nplots |
|
824 | self.nplots = nplots | |
| 825 |
|
825 | |||
| 826 | ncolspan = 1 |
|
826 | ncolspan = 1 | |
| 827 | colspan = 1 |
|
827 | colspan = 1 | |
| 828 |
|
828 | |||
| 829 | self.createFigure(id = id, |
|
829 | self.createFigure(id = id, | |
| 830 | wintitle = wintitle, |
|
830 | wintitle = wintitle, | |
| 831 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
831 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 832 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
832 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 833 | show=show) |
|
833 | show=show) | |
| 834 |
|
834 | |||
| 835 | nrow, ncol = self.getSubplots() |
|
835 | nrow, ncol = self.getSubplots() | |
| 836 |
|
836 | |||
| 837 | counter = 0 |
|
837 | counter = 0 | |
| 838 | for y in range(nrow): |
|
838 | for y in range(nrow): | |
| 839 | for x in range(ncol): |
|
839 | for x in range(ncol): | |
| 840 |
|
840 | |||
| 841 | if counter >= self.nplots: |
|
841 | if counter >= self.nplots: | |
| 842 | break |
|
842 | break | |
| 843 |
|
843 | |||
| 844 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
844 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 845 |
|
845 | |||
| 846 | counter += 1 |
|
846 | counter += 1 | |
| 847 |
|
847 | |||
| 848 | def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap="jet", |
|
848 | def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap="jet", | |
| 849 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, timerange=None, |
|
849 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, timerange=None, | |
| 850 | showSNR=False, SNRthresh = -numpy.inf, SNRmin=None, SNRmax=None, |
|
850 | showSNR=False, SNRthresh = -numpy.inf, SNRmin=None, SNRmax=None, | |
| 851 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
851 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 852 | server=None, folder=None, username=None, password=None, |
|
852 | server=None, folder=None, username=None, password=None, | |
| 853 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, HEIGHT=None): |
|
853 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, HEIGHT=None): | |
| 854 | """ |
|
854 | """ | |
| 855 |
|
855 | |||
| 856 | Input: |
|
856 | Input: | |
| 857 | dataOut : |
|
857 | dataOut : | |
| 858 | id : |
|
858 | id : | |
| 859 | wintitle : |
|
859 | wintitle : | |
| 860 | channelList : |
|
860 | channelList : | |
| 861 | showProfile : |
|
861 | showProfile : | |
| 862 | xmin : None, |
|
862 | xmin : None, | |
| 863 | xmax : None, |
|
863 | xmax : None, | |
| 864 | ymin : None, |
|
864 | ymin : None, | |
| 865 | ymax : None, |
|
865 | ymax : None, | |
| 866 | zmin : None, |
|
866 | zmin : None, | |
| 867 | zmax : None |
|
867 | zmax : None | |
| 868 | """ |
|
868 | """ | |
| 869 |
|
869 | |||
| 870 | if HEIGHT is not None: |
|
870 | if HEIGHT is not None: | |
| 871 | self.HEIGHT = HEIGHT |
|
871 | self.HEIGHT = HEIGHT | |
| 872 |
|
872 | |||
| 873 |
|
873 | |||
| 874 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
874 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 875 | return |
|
875 | return | |
| 876 |
|
876 | |||
| 877 | if channelList == None: |
|
877 | if channelList == None: | |
| 878 | channelIndexList = range(dataOut.data_param.shape[0]) |
|
878 | channelIndexList = range(dataOut.data_param.shape[0]) | |
| 879 | else: |
|
879 | else: | |
| 880 | channelIndexList = [] |
|
880 | channelIndexList = [] | |
| 881 | for channel in channelList: |
|
881 | for channel in channelList: | |
| 882 | if channel not in dataOut.channelList: |
|
882 | if channel not in dataOut.channelList: | |
| 883 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
883 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 884 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
884 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 885 |
|
885 | |||
| 886 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
886 | x = dataOut.getTimeRange1(dataOut.paramInterval) | |
| 887 | y = dataOut.getHeiRange() |
|
887 | y = dataOut.getHeiRange() | |
| 888 |
|
888 | |||
| 889 | if dataOut.data_param.ndim == 3: |
|
889 | if dataOut.data_param.ndim == 3: | |
| 890 | z = dataOut.data_param[channelIndexList,paramIndex,:] |
|
890 | z = dataOut.data_param[channelIndexList,paramIndex,:] | |
| 891 | else: |
|
891 | else: | |
| 892 | z = dataOut.data_param[channelIndexList,:] |
|
892 | z = dataOut.data_param[channelIndexList,:] | |
| 893 |
|
893 | |||
| 894 | if showSNR: |
|
894 | if showSNR: | |
| 895 | #SNR data |
|
895 | #SNR data | |
| 896 | SNRarray = dataOut.data_SNR[channelIndexList,:] |
|
896 | SNRarray = dataOut.data_SNR[channelIndexList,:] | |
| 897 | SNRdB = 10*numpy.log10(SNRarray) |
|
897 | SNRdB = 10*numpy.log10(SNRarray) | |
| 898 | ind = numpy.where(SNRdB < SNRthresh) |
|
898 | ind = numpy.where(SNRdB < SNRthresh) | |
| 899 | z[ind] = numpy.nan |
|
899 | z[ind] = numpy.nan | |
| 900 |
|
900 | |||
| 901 | thisDatetime = dataOut.datatime |
|
901 | thisDatetime = dataOut.datatime | |
| 902 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
902 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 903 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
903 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 904 | xlabel = "" |
|
904 | xlabel = "" | |
| 905 | ylabel = "Range (Km)" |
|
905 | ylabel = "Range (Km)" | |
| 906 |
|
906 | |||
| 907 | update_figfile = False |
|
907 | update_figfile = False | |
| 908 |
|
908 | |||
| 909 | if not self.isConfig: |
|
909 | if not self.isConfig: | |
| 910 |
|
910 | |||
| 911 | nchan = len(channelIndexList) |
|
911 | nchan = len(channelIndexList) | |
| 912 | self.nchan = nchan |
|
912 | self.nchan = nchan | |
| 913 | self.plotFact = 1 |
|
913 | self.plotFact = 1 | |
| 914 | nplots = nchan |
|
914 | nplots = nchan | |
| 915 |
|
915 | |||
| 916 | if showSNR: |
|
916 | if showSNR: | |
| 917 | nplots = nchan*2 |
|
917 | nplots = nchan*2 | |
| 918 | self.plotFact = 2 |
|
918 | self.plotFact = 2 | |
| 919 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
919 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) | |
| 920 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
920 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) | |
| 921 |
|
921 | |||
| 922 | self.setup(id=id, |
|
922 | self.setup(id=id, | |
| 923 | nplots=nplots, |
|
923 | nplots=nplots, | |
| 924 | wintitle=wintitle, |
|
924 | wintitle=wintitle, | |
| 925 | show=show) |
|
925 | show=show) | |
| 926 |
|
926 | |||
| 927 | if timerange != None: |
|
927 | if timerange != None: | |
| 928 | self.timerange = timerange |
|
928 | self.timerange = timerange | |
| 929 |
|
929 | |||
| 930 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
930 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 931 |
|
931 | |||
| 932 | if ymin == None: ymin = numpy.nanmin(y) |
|
932 | if ymin == None: ymin = numpy.nanmin(y) | |
| 933 | if ymax == None: ymax = numpy.nanmax(y) |
|
933 | if ymax == None: ymax = numpy.nanmax(y) | |
| 934 | if zmin == None: zmin = numpy.nanmin(z) |
|
934 | if zmin == None: zmin = numpy.nanmin(z) | |
| 935 | if zmax == None: zmax = numpy.nanmax(z) |
|
935 | if zmax == None: zmax = numpy.nanmax(z) | |
| 936 |
|
936 | |||
| 937 | self.FTP_WEI = ftp_wei |
|
937 | self.FTP_WEI = ftp_wei | |
| 938 | self.EXP_CODE = exp_code |
|
938 | self.EXP_CODE = exp_code | |
| 939 | self.SUB_EXP_CODE = sub_exp_code |
|
939 | self.SUB_EXP_CODE = sub_exp_code | |
| 940 | self.PLOT_POS = plot_pos |
|
940 | self.PLOT_POS = plot_pos | |
| 941 |
|
941 | |||
| 942 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
942 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 943 | self.isConfig = True |
|
943 | self.isConfig = True | |
| 944 | self.figfile = figfile |
|
944 | self.figfile = figfile | |
| 945 | update_figfile = True |
|
945 | update_figfile = True | |
| 946 |
|
946 | |||
| 947 | self.setWinTitle(title) |
|
947 | self.setWinTitle(title) | |
| 948 |
|
948 | |||
| 949 | for i in range(self.nchan): |
|
949 | for i in range(self.nchan): | |
| 950 | index = channelIndexList[i] |
|
950 | index = channelIndexList[i] | |
| 951 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
951 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 952 | axes = self.axesList[i*self.plotFact] |
|
952 | axes = self.axesList[i*self.plotFact] | |
| 953 | z1 = z[i,:].reshape((1,-1)) |
|
953 | z1 = z[i,:].reshape((1,-1)) | |
| 954 | axes.pcolorbuffer(x, y, z1, |
|
954 | axes.pcolorbuffer(x, y, z1, | |
| 955 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
955 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 956 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
956 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 957 | ticksize=9, cblabel='', cbsize="1%",colormap=colormap) |
|
957 | ticksize=9, cblabel='', cbsize="1%",colormap=colormap) | |
| 958 |
|
958 | |||
| 959 | if showSNR: |
|
959 | if showSNR: | |
| 960 | title = "Channel %d SNR: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
960 | title = "Channel %d SNR: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 961 | axes = self.axesList[i*self.plotFact + 1] |
|
961 | axes = self.axesList[i*self.plotFact + 1] | |
| 962 | SNRdB1 = SNRdB[i,:].reshape((1,-1)) |
|
962 | SNRdB1 = SNRdB[i,:].reshape((1,-1)) | |
| 963 | axes.pcolorbuffer(x, y, SNRdB1, |
|
963 | axes.pcolorbuffer(x, y, SNRdB1, | |
| 964 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
964 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, | |
| 965 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
965 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 966 | ticksize=9, cblabel='', cbsize="1%",colormap='jet') |
|
966 | ticksize=9, cblabel='', cbsize="1%",colormap='jet') | |
| 967 |
|
967 | |||
| 968 |
|
968 | |||
| 969 | self.draw() |
|
969 | self.draw() | |
| 970 |
|
970 | |||
| 971 | if dataOut.ltctime >= self.xmax: |
|
971 | if dataOut.ltctime >= self.xmax: | |
| 972 | self.counter_imagwr = wr_period |
|
972 | self.counter_imagwr = wr_period | |
| 973 | self.isConfig = False |
|
973 | self.isConfig = False | |
| 974 | update_figfile = True |
|
974 | update_figfile = True | |
| 975 |
|
975 | |||
| 976 | self.save(figpath=figpath, |
|
976 | self.save(figpath=figpath, | |
| 977 | figfile=figfile, |
|
977 | figfile=figfile, | |
| 978 | save=save, |
|
978 | save=save, | |
| 979 | ftp=ftp, |
|
979 | ftp=ftp, | |
| 980 | wr_period=wr_period, |
|
980 | wr_period=wr_period, | |
| 981 | thisDatetime=thisDatetime, |
|
981 | thisDatetime=thisDatetime, | |
| 982 | update_figfile=update_figfile) |
|
982 | update_figfile=update_figfile) | |
| 983 |
|
983 | |||
| 984 |
|
984 | |||
| 985 |
|
985 | |||
| 986 | class Parameters1Plot(Figure): |
|
986 | class Parameters1Plot(Figure): | |
| 987 |
|
987 | |||
| 988 | __isConfig = None |
|
988 | __isConfig = None | |
| 989 | __nsubplots = None |
|
989 | __nsubplots = None | |
| 990 |
|
990 | |||
| 991 | WIDTHPROF = None |
|
991 | WIDTHPROF = None | |
| 992 | HEIGHTPROF = None |
|
992 | HEIGHTPROF = None | |
| 993 | PREFIX = 'prm' |
|
993 | PREFIX = 'prm' | |
| 994 |
|
994 | |||
| 995 | def __init__(self, **kwargs): |
|
995 | def __init__(self, **kwargs): | |
| 996 | Figure.__init__(self, **kwargs) |
|
996 | Figure.__init__(self, **kwargs) | |
| 997 | self.timerange = 2*60*60 |
|
997 | self.timerange = 2*60*60 | |
| 998 | self.isConfig = False |
|
998 | self.isConfig = False | |
| 999 | self.__nsubplots = 1 |
|
999 | self.__nsubplots = 1 | |
| 1000 |
|
1000 | |||
| 1001 | self.WIDTH = 800 |
|
1001 | self.WIDTH = 800 | |
| 1002 | self.HEIGHT = 180 |
|
1002 | self.HEIGHT = 180 | |
| 1003 | self.WIDTHPROF = 120 |
|
1003 | self.WIDTHPROF = 120 | |
| 1004 | self.HEIGHTPROF = 0 |
|
1004 | self.HEIGHTPROF = 0 | |
| 1005 | self.counter_imagwr = 0 |
|
1005 | self.counter_imagwr = 0 | |
| 1006 |
|
1006 | |||
| 1007 | self.PLOT_CODE = PARMS_CODE |
|
1007 | self.PLOT_CODE = PARMS_CODE | |
| 1008 |
|
1008 | |||
| 1009 | self.FTP_WEI = None |
|
1009 | self.FTP_WEI = None | |
| 1010 | self.EXP_CODE = None |
|
1010 | self.EXP_CODE = None | |
| 1011 | self.SUB_EXP_CODE = None |
|
1011 | self.SUB_EXP_CODE = None | |
| 1012 | self.PLOT_POS = None |
|
1012 | self.PLOT_POS = None | |
| 1013 | self.tmin = None |
|
1013 | self.tmin = None | |
| 1014 | self.tmax = None |
|
1014 | self.tmax = None | |
| 1015 |
|
1015 | |||
| 1016 | self.xmin = None |
|
1016 | self.xmin = None | |
| 1017 | self.xmax = None |
|
1017 | self.xmax = None | |
| 1018 |
|
1018 | |||
| 1019 | self.figfile = None |
|
1019 | self.figfile = None | |
| 1020 |
|
1020 | |||
| 1021 | def getSubplots(self): |
|
1021 | def getSubplots(self): | |
| 1022 |
|
1022 | |||
| 1023 | ncol = 1 |
|
1023 | ncol = 1 | |
| 1024 | nrow = self.nplots |
|
1024 | nrow = self.nplots | |
| 1025 |
|
1025 | |||
| 1026 | return nrow, ncol |
|
1026 | return nrow, ncol | |
| 1027 |
|
1027 | |||
| 1028 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1028 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1029 |
|
1029 | |||
| 1030 | self.__showprofile = showprofile |
|
1030 | self.__showprofile = showprofile | |
| 1031 | self.nplots = nplots |
|
1031 | self.nplots = nplots | |
| 1032 |
|
1032 | |||
| 1033 | ncolspan = 1 |
|
1033 | ncolspan = 1 | |
| 1034 | colspan = 1 |
|
1034 | colspan = 1 | |
| 1035 |
|
1035 | |||
| 1036 | self.createFigure(id = id, |
|
1036 | self.createFigure(id = id, | |
| 1037 | wintitle = wintitle, |
|
1037 | wintitle = wintitle, | |
| 1038 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
1038 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 1039 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
1039 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 1040 | show=show) |
|
1040 | show=show) | |
| 1041 |
|
1041 | |||
| 1042 | nrow, ncol = self.getSubplots() |
|
1042 | nrow, ncol = self.getSubplots() | |
| 1043 |
|
1043 | |||
| 1044 | counter = 0 |
|
1044 | counter = 0 | |
| 1045 | for y in range(nrow): |
|
1045 | for y in range(nrow): | |
| 1046 | for x in range(ncol): |
|
1046 | for x in range(ncol): | |
| 1047 |
|
1047 | |||
| 1048 | if counter >= self.nplots: |
|
1048 | if counter >= self.nplots: | |
| 1049 | break |
|
1049 | break | |
| 1050 |
|
1050 | |||
| 1051 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
1051 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 1052 |
|
1052 | |||
| 1053 | if showprofile: |
|
1053 | if showprofile: | |
| 1054 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
1054 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 1055 |
|
1055 | |||
| 1056 | counter += 1 |
|
1056 | counter += 1 | |
| 1057 |
|
1057 | |||
| 1058 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
1058 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, | |
| 1059 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None, |
|
1059 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None, | |
| 1060 | parameterIndex = None, onlyPositive = False, |
|
1060 | parameterIndex = None, onlyPositive = False, | |
| 1061 | SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False, |
|
1061 | SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False, | |
| 1062 | DOP = True, |
|
1062 | DOP = True, | |
| 1063 | zlabel = "", parameterName = "", parameterObject = "data_param", |
|
1063 | zlabel = "", parameterName = "", parameterObject = "data_param", | |
| 1064 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
1064 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 1065 | server=None, folder=None, username=None, password=None, |
|
1065 | server=None, folder=None, username=None, password=None, | |
| 1066 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1066 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1067 | #print inspect.getargspec(self.run).args |
|
1067 | #print inspect.getargspec(self.run).args | |
| 1068 | """ |
|
1068 | """ | |
| 1069 |
|
1069 | |||
| 1070 | Input: |
|
1070 | Input: | |
| 1071 | dataOut : |
|
1071 | dataOut : | |
| 1072 | id : |
|
1072 | id : | |
| 1073 | wintitle : |
|
1073 | wintitle : | |
| 1074 | channelList : |
|
1074 | channelList : | |
| 1075 | showProfile : |
|
1075 | showProfile : | |
| 1076 | xmin : None, |
|
1076 | xmin : None, | |
| 1077 | xmax : None, |
|
1077 | xmax : None, | |
| 1078 | ymin : None, |
|
1078 | ymin : None, | |
| 1079 | ymax : None, |
|
1079 | ymax : None, | |
| 1080 | zmin : None, |
|
1080 | zmin : None, | |
| 1081 | zmax : None |
|
1081 | zmax : None | |
| 1082 | """ |
|
1082 | """ | |
| 1083 |
|
1083 | |||
| 1084 | data_param = getattr(dataOut, parameterObject) |
|
1084 | data_param = getattr(dataOut, parameterObject) | |
| 1085 |
|
1085 | |||
| 1086 | if channelList == None: |
|
1086 | if channelList == None: | |
| 1087 | channelIndexList = numpy.arange(data_param.shape[0]) |
|
1087 | channelIndexList = numpy.arange(data_param.shape[0]) | |
| 1088 | else: |
|
1088 | else: | |
| 1089 | channelIndexList = numpy.array(channelList) |
|
1089 | channelIndexList = numpy.array(channelList) | |
| 1090 |
|
1090 | |||
| 1091 | nchan = len(channelIndexList) #Number of channels being plotted |
|
1091 | nchan = len(channelIndexList) #Number of channels being plotted | |
| 1092 |
|
1092 | |||
| 1093 | if nchan < 1: |
|
1093 | if nchan < 1: | |
| 1094 | return |
|
1094 | return | |
| 1095 |
|
1095 | |||
| 1096 | nGraphsByChannel = 0 |
|
1096 | nGraphsByChannel = 0 | |
| 1097 |
|
1097 | |||
| 1098 | if SNR: |
|
1098 | if SNR: | |
| 1099 | nGraphsByChannel += 1 |
|
1099 | nGraphsByChannel += 1 | |
| 1100 | if DOP: |
|
1100 | if DOP: | |
| 1101 | nGraphsByChannel += 1 |
|
1101 | nGraphsByChannel += 1 | |
| 1102 |
|
1102 | |||
| 1103 | if nGraphsByChannel < 1: |
|
1103 | if nGraphsByChannel < 1: | |
| 1104 | return |
|
1104 | return | |
| 1105 |
|
1105 | |||
| 1106 | nplots = nGraphsByChannel*nchan |
|
1106 | nplots = nGraphsByChannel*nchan | |
| 1107 |
|
1107 | |||
| 1108 | if timerange is not None: |
|
1108 | if timerange is not None: | |
| 1109 | self.timerange = timerange |
|
1109 | self.timerange = timerange | |
| 1110 |
|
1110 | |||
| 1111 | #tmin = None |
|
1111 | #tmin = None | |
| 1112 | #tmax = None |
|
1112 | #tmax = None | |
| 1113 | if parameterIndex == None: |
|
1113 | if parameterIndex == None: | |
| 1114 | parameterIndex = 1 |
|
1114 | parameterIndex = 1 | |
| 1115 |
|
1115 | |||
| 1116 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
1116 | x = dataOut.getTimeRange1(dataOut.paramInterval) | |
| 1117 | y = dataOut.heightList |
|
1117 | y = dataOut.heightList | |
| 1118 | z = data_param[channelIndexList,parameterIndex,:].copy() |
|
|||
| 1119 |
|
1118 | |||
| 1120 | zRange = dataOut.abscissaList |
|
1119 | if dataOut.data_param.ndim == 3: | |
| 1121 | # nChannels = z.shape[0] #Number of wind dimensions estimated |
|
1120 | z = dataOut.data_param[channelIndexList,parameterIndex,:] | |
| 1122 | # thisDatetime = dataOut.datatime |
|
1121 | else: | |
|
|
1122 | z = dataOut.data_param[channelIndexList,:] | |||
| 1123 |
|
1123 | |||
| 1124 | if dataOut.data_SNR is not None: |
|
1124 | if dataOut.data_SNR is not None: | |
| 1125 |
|
|
1125 | if dataOut.data_SNR.ndim == 2: | |
| 1126 | SNRdB = 10*numpy.log10(SNRarray) |
|
1126 | SNRavg = numpy.average(dataOut.data_SNR, axis=0) | |
| 1127 | # SNRavgdB = 10*numpy.log10(SNRavg) |
|
1127 | else: | |
| 1128 | ind = numpy.where(SNRdB < 10**(SNRthresh/10)) |
|
1128 | SNRavg = dataOut.data_SNR | |
| 1129 | z[ind] = numpy.nan |
|
1129 | SNRdB = 10*numpy.log10(SNRavg) | |
| 1130 |
|
1130 | |||
| 1131 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
1131 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 1132 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1132 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1133 | xlabel = "" |
|
1133 | xlabel = "" | |
| 1134 | ylabel = "Range (Km)" |
|
1134 | ylabel = "Range (Km)" | |
| 1135 |
|
||||
| 1136 | if (SNR and not onlySNR): nplots = 2*nplots |
|
|||
| 1137 |
|
1135 | |||
| 1138 | if onlyPositive: |
|
1136 | if onlyPositive: | |
| 1139 | colormap = "jet" |
|
1137 | colormap = "jet" | |
| 1140 | zmin = 0 |
|
1138 | zmin = 0 | |
| 1141 | else: colormap = "RdBu_r" |
|
1139 | else: colormap = "RdBu_r" | |
| 1142 |
|
1140 | |||
| 1143 | if not self.isConfig: |
|
1141 | if not self.isConfig: | |
| 1144 |
|
1142 | |||
| 1145 | self.setup(id=id, |
|
1143 | self.setup(id=id, | |
| 1146 | nplots=nplots, |
|
1144 | nplots=nplots, | |
| 1147 | wintitle=wintitle, |
|
1145 | wintitle=wintitle, | |
| 1148 | showprofile=showprofile, |
|
1146 | showprofile=showprofile, | |
| 1149 | show=show) |
|
1147 | show=show) | |
| 1150 |
|
1148 | |||
| 1151 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1149 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1152 |
|
1150 | |||
| 1153 | if ymin == None: ymin = numpy.nanmin(y) |
|
1151 | if ymin == None: ymin = numpy.nanmin(y) | |
| 1154 | if ymax == None: ymax = numpy.nanmax(y) |
|
1152 | if ymax == None: ymax = numpy.nanmax(y) | |
| 1155 |
if zmin == None: zmin = numpy.nanmin(z |
|
1153 | if zmin == None: zmin = numpy.nanmin(z) | |
| 1156 |
if zmax == None: zmax = numpy.nanmax(z |
|
1154 | if zmax == None: zmax = numpy.nanmax(z) | |
| 1157 |
|
1155 | |||
| 1158 | if SNR: |
|
1156 | if SNR: | |
| 1159 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
1157 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) | |
| 1160 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
1158 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) | |
| 1161 |
|
1159 | |||
| 1162 | self.FTP_WEI = ftp_wei |
|
1160 | self.FTP_WEI = ftp_wei | |
| 1163 | self.EXP_CODE = exp_code |
|
1161 | self.EXP_CODE = exp_code | |
| 1164 | self.SUB_EXP_CODE = sub_exp_code |
|
1162 | self.SUB_EXP_CODE = sub_exp_code | |
| 1165 | self.PLOT_POS = plot_pos |
|
1163 | self.PLOT_POS = plot_pos | |
| 1166 |
|
1164 | |||
| 1167 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1165 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1168 | self.isConfig = True |
|
1166 | self.isConfig = True | |
| 1169 | self.figfile = figfile |
|
1167 | self.figfile = figfile | |
| 1170 |
|
1168 | |||
| 1171 | self.setWinTitle(title) |
|
1169 | self.setWinTitle(title) | |
| 1172 |
|
1170 | |||
| 1173 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
1171 | if ((self.xmax - x[1]) < (x[1]-x[0])): | |
| 1174 | x[1] = self.xmax |
|
1172 | x[1] = self.xmax | |
| 1175 |
|
1173 | |||
| 1176 | for i in range(nchan): |
|
1174 | for i in range(nchan): | |
| 1177 |
|
1175 | |||
| 1178 | if (SNR and not onlySNR): j = 2*i |
|
1176 | if (SNR and not onlySNR): j = 2*i | |
| 1179 | else: j = i |
|
1177 | else: j = i | |
| 1180 |
|
1178 | |||
| 1181 | j = nGraphsByChannel*i |
|
1179 | j = nGraphsByChannel*i | |
| 1182 |
|
1180 | |||
| 1183 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
1181 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 1184 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
1182 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 1185 |
|
1183 | |||
| 1186 | if not onlySNR: |
|
1184 | if not onlySNR: | |
| 1187 | axes = self.axesList[j*self.__nsubplots] |
|
1185 | axes = self.axesList[j*self.__nsubplots] | |
| 1188 | z1 = z[i,:].reshape((1,-1)) |
|
1186 | z1 = z[i,:].reshape((1,-1)) | |
| 1189 | axes.pcolorbuffer(x, y, z1, |
|
1187 | axes.pcolorbuffer(x, y, z1, | |
| 1190 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
1188 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 1191 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
1189 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, | |
| 1192 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
1190 | ticksize=9, cblabel=zlabel, cbsize="1%") | |
| 1193 |
|
1191 | |||
| 1194 | if DOP: |
|
1192 | if DOP: | |
| 1195 | title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1193 | title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1196 |
|
1194 | |||
| 1197 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
1195 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 1198 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
1196 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 1199 | axes = self.axesList[j] |
|
1197 | axes = self.axesList[j] | |
| 1200 | z1 = z[i,:].reshape((1,-1)) |
|
1198 | z1 = z[i,:].reshape((1,-1)) | |
| 1201 | axes.pcolorbuffer(x, y, z1, |
|
1199 | axes.pcolorbuffer(x, y, z1, | |
| 1202 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
1200 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 1203 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
1201 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, | |
| 1204 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
1202 | ticksize=9, cblabel=zlabel, cbsize="1%") | |
| 1205 |
|
1203 | |||
| 1206 |
|
|
1204 | if SNR: | |
| 1207 |
|
|
1205 | title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1208 |
|
|
1206 | axes = self.axesList[(j)*self.__nsubplots] | |
| 1209 |
|
|
1207 | if not onlySNR: | |
| 1210 |
|
|
1208 | axes = self.axesList[(j + 1)*self.__nsubplots] | |
| 1211 |
|
||||
| 1212 | axes = self.axesList[(j + nGraphsByChannel-1)] |
|
|||
| 1213 |
|
1209 | |||
| 1214 | z1 = SNRdB[i,:].reshape((1,-1)) |
|
1210 | axes = self.axesList[(j + nGraphsByChannel-1)] | |
| 1215 | axes.pcolorbuffer(x, y, z1, |
|
1211 | z1 = SNRdB.reshape((1,-1)) | |
| 1216 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
1212 | axes.pcolorbuffer(x, y, z1, | |
| 1217 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet", |
|
1213 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, | |
| 1218 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
1214 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet", | |
|
|
1215 | ticksize=9, cblabel=zlabel, cbsize="1%") | |||
| 1219 |
|
1216 | |||
| 1220 |
|
1217 | |||
| 1221 |
|
1218 | |||
| 1222 | self.draw() |
|
1219 | self.draw() | |
| 1223 |
|
1220 | |||
| 1224 | if x[1] >= self.axesList[0].xmax: |
|
1221 | if x[1] >= self.axesList[0].xmax: | |
| 1225 | self.counter_imagwr = wr_period |
|
1222 | self.counter_imagwr = wr_period | |
| 1226 | self.isConfig = False |
|
1223 | self.isConfig = False | |
| 1227 | self.figfile = None |
|
1224 | self.figfile = None | |
| 1228 |
|
1225 | |||
| 1229 | self.save(figpath=figpath, |
|
1226 | self.save(figpath=figpath, | |
| 1230 | figfile=figfile, |
|
1227 | figfile=figfile, | |
| 1231 | save=save, |
|
1228 | save=save, | |
| 1232 | ftp=ftp, |
|
1229 | ftp=ftp, | |
| 1233 | wr_period=wr_period, |
|
1230 | wr_period=wr_period, | |
| 1234 | thisDatetime=thisDatetime, |
|
1231 | thisDatetime=thisDatetime, | |
| 1235 | update_figfile=False) |
|
1232 | update_figfile=False) | |
| 1236 |
|
1233 | |||
| 1237 | class SpectralFittingPlot(Figure): |
|
1234 | class SpectralFittingPlot(Figure): | |
| 1238 |
|
1235 | |||
| 1239 | __isConfig = None |
|
1236 | __isConfig = None | |
| 1240 | __nsubplots = None |
|
1237 | __nsubplots = None | |
| 1241 |
|
1238 | |||
| 1242 | WIDTHPROF = None |
|
1239 | WIDTHPROF = None | |
| 1243 | HEIGHTPROF = None |
|
1240 | HEIGHTPROF = None | |
| 1244 | PREFIX = 'prm' |
|
1241 | PREFIX = 'prm' | |
| 1245 |
|
1242 | |||
| 1246 |
|
1243 | |||
| 1247 | N = None |
|
1244 | N = None | |
| 1248 | ippSeconds = None |
|
1245 | ippSeconds = None | |
| 1249 |
|
1246 | |||
| 1250 | def __init__(self, **kwargs): |
|
1247 | def __init__(self, **kwargs): | |
| 1251 | Figure.__init__(self, **kwargs) |
|
1248 | Figure.__init__(self, **kwargs) | |
| 1252 | self.isConfig = False |
|
1249 | self.isConfig = False | |
| 1253 | self.__nsubplots = 1 |
|
1250 | self.__nsubplots = 1 | |
| 1254 |
|
1251 | |||
| 1255 | self.PLOT_CODE = SPECFIT_CODE |
|
1252 | self.PLOT_CODE = SPECFIT_CODE | |
| 1256 |
|
1253 | |||
| 1257 | self.WIDTH = 450 |
|
1254 | self.WIDTH = 450 | |
| 1258 | self.HEIGHT = 250 |
|
1255 | self.HEIGHT = 250 | |
| 1259 | self.WIDTHPROF = 0 |
|
1256 | self.WIDTHPROF = 0 | |
| 1260 | self.HEIGHTPROF = 0 |
|
1257 | self.HEIGHTPROF = 0 | |
| 1261 |
|
1258 | |||
| 1262 | def getSubplots(self): |
|
1259 | def getSubplots(self): | |
| 1263 |
|
1260 | |||
| 1264 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
1261 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 1265 | nrow = int(self.nplots*1./ncol + 0.9) |
|
1262 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 1266 |
|
1263 | |||
| 1267 | return nrow, ncol |
|
1264 | return nrow, ncol | |
| 1268 |
|
1265 | |||
| 1269 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
1266 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): | |
| 1270 |
|
1267 | |||
| 1271 | showprofile = False |
|
1268 | showprofile = False | |
| 1272 | self.__showprofile = showprofile |
|
1269 | self.__showprofile = showprofile | |
| 1273 | self.nplots = nplots |
|
1270 | self.nplots = nplots | |
| 1274 |
|
1271 | |||
| 1275 | ncolspan = 5 |
|
1272 | ncolspan = 5 | |
| 1276 | colspan = 4 |
|
1273 | colspan = 4 | |
| 1277 | if showprofile: |
|
1274 | if showprofile: | |
| 1278 | ncolspan = 5 |
|
1275 | ncolspan = 5 | |
| 1279 | colspan = 4 |
|
1276 | colspan = 4 | |
| 1280 | self.__nsubplots = 2 |
|
1277 | self.__nsubplots = 2 | |
| 1281 |
|
1278 | |||
| 1282 | self.createFigure(id = id, |
|
1279 | self.createFigure(id = id, | |
| 1283 | wintitle = wintitle, |
|
1280 | wintitle = wintitle, | |
| 1284 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
1281 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 1285 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
1282 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 1286 | show=show) |
|
1283 | show=show) | |
| 1287 |
|
1284 | |||
| 1288 | nrow, ncol = self.getSubplots() |
|
1285 | nrow, ncol = self.getSubplots() | |
| 1289 |
|
1286 | |||
| 1290 | counter = 0 |
|
1287 | counter = 0 | |
| 1291 | for y in range(nrow): |
|
1288 | for y in range(nrow): | |
| 1292 | for x in range(ncol): |
|
1289 | for x in range(ncol): | |
| 1293 |
|
1290 | |||
| 1294 | if counter >= self.nplots: |
|
1291 | if counter >= self.nplots: | |
| 1295 | break |
|
1292 | break | |
| 1296 |
|
1293 | |||
| 1297 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
1294 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 1298 |
|
1295 | |||
| 1299 | if showprofile: |
|
1296 | if showprofile: | |
| 1300 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
1297 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 1301 |
|
1298 | |||
| 1302 | counter += 1 |
|
1299 | counter += 1 | |
| 1303 |
|
1300 | |||
| 1304 | def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True, |
|
1301 | def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True, | |
| 1305 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1302 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 1306 | save=False, figpath='./', figfile=None, show=True): |
|
1303 | save=False, figpath='./', figfile=None, show=True): | |
| 1307 |
|
1304 | |||
| 1308 | """ |
|
1305 | """ | |
| 1309 |
|
1306 | |||
| 1310 | Input: |
|
1307 | Input: | |
| 1311 | dataOut : |
|
1308 | dataOut : | |
| 1312 | id : |
|
1309 | id : | |
| 1313 | wintitle : |
|
1310 | wintitle : | |
| 1314 | channelList : |
|
1311 | channelList : | |
| 1315 | showProfile : |
|
1312 | showProfile : | |
| 1316 | xmin : None, |
|
1313 | xmin : None, | |
| 1317 | xmax : None, |
|
1314 | xmax : None, | |
| 1318 | zmin : None, |
|
1315 | zmin : None, | |
| 1319 | zmax : None |
|
1316 | zmax : None | |
| 1320 | """ |
|
1317 | """ | |
| 1321 |
|
1318 | |||
| 1322 | if cutHeight==None: |
|
1319 | if cutHeight==None: | |
| 1323 | h=270 |
|
1320 | h=270 | |
| 1324 | heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin() |
|
1321 | heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin() | |
| 1325 | cutHeight = dataOut.heightList[heightindex] |
|
1322 | cutHeight = dataOut.heightList[heightindex] | |
| 1326 |
|
1323 | |||
| 1327 | factor = dataOut.normFactor |
|
1324 | factor = dataOut.normFactor | |
| 1328 | x = dataOut.abscissaList[:-1] |
|
1325 | x = dataOut.abscissaList[:-1] | |
| 1329 | #y = dataOut.getHeiRange() |
|
1326 | #y = dataOut.getHeiRange() | |
| 1330 |
|
1327 | |||
| 1331 | z = dataOut.data_pre[:,:,heightindex]/factor |
|
1328 | z = dataOut.data_pre[:,:,heightindex]/factor | |
| 1332 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
1329 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 1333 | avg = numpy.average(z, axis=1) |
|
1330 | avg = numpy.average(z, axis=1) | |
| 1334 | listChannels = z.shape[0] |
|
1331 | listChannels = z.shape[0] | |
| 1335 |
|
1332 | |||
| 1336 | #Reconstruct Function |
|
1333 | #Reconstruct Function | |
| 1337 | if fit==True: |
|
1334 | if fit==True: | |
| 1338 | groupArray = dataOut.groupList |
|
1335 | groupArray = dataOut.groupList | |
| 1339 | listChannels = groupArray.reshape((groupArray.size)) |
|
1336 | listChannels = groupArray.reshape((groupArray.size)) | |
| 1340 | listChannels.sort() |
|
1337 | listChannels.sort() | |
| 1341 | spcFitLine = numpy.zeros(z.shape) |
|
1338 | spcFitLine = numpy.zeros(z.shape) | |
| 1342 | constants = dataOut.constants |
|
1339 | constants = dataOut.constants | |
| 1343 |
|
1340 | |||
| 1344 | nGroups = groupArray.shape[0] |
|
1341 | nGroups = groupArray.shape[0] | |
| 1345 | nChannels = groupArray.shape[1] |
|
1342 | nChannels = groupArray.shape[1] | |
| 1346 | nProfiles = z.shape[1] |
|
1343 | nProfiles = z.shape[1] | |
| 1347 |
|
1344 | |||
| 1348 | for f in range(nGroups): |
|
1345 | for f in range(nGroups): | |
| 1349 | groupChann = groupArray[f,:] |
|
1346 | groupChann = groupArray[f,:] | |
| 1350 | p = dataOut.data_param[f,:,heightindex] |
|
1347 | p = dataOut.data_param[f,:,heightindex] | |
| 1351 | # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167]) |
|
1348 | # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167]) | |
| 1352 | fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles |
|
1349 | fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles | |
| 1353 | fitLineAux = fitLineAux.reshape((nChannels,nProfiles)) |
|
1350 | fitLineAux = fitLineAux.reshape((nChannels,nProfiles)) | |
| 1354 | spcFitLine[groupChann,:] = fitLineAux |
|
1351 | spcFitLine[groupChann,:] = fitLineAux | |
| 1355 | # spcFitLine = spcFitLine/factor |
|
1352 | # spcFitLine = spcFitLine/factor | |
| 1356 |
|
1353 | |||
| 1357 | z = z[listChannels,:] |
|
1354 | z = z[listChannels,:] | |
| 1358 | spcFitLine = spcFitLine[listChannels,:] |
|
1355 | spcFitLine = spcFitLine[listChannels,:] | |
| 1359 | spcFitLinedB = 10*numpy.log10(spcFitLine) |
|
1356 | spcFitLinedB = 10*numpy.log10(spcFitLine) | |
| 1360 |
|
1357 | |||
| 1361 | zdB = 10*numpy.log10(z) |
|
1358 | zdB = 10*numpy.log10(z) | |
| 1362 | #thisDatetime = dataOut.datatime |
|
1359 | #thisDatetime = dataOut.datatime | |
| 1363 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
1360 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 1364 | title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
1361 | title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 1365 | xlabel = "Velocity (m/s)" |
|
1362 | xlabel = "Velocity (m/s)" | |
| 1366 | ylabel = "Spectrum" |
|
1363 | ylabel = "Spectrum" | |
| 1367 |
|
1364 | |||
| 1368 | if not self.isConfig: |
|
1365 | if not self.isConfig: | |
| 1369 |
|
1366 | |||
| 1370 | nplots = listChannels.size |
|
1367 | nplots = listChannels.size | |
| 1371 |
|
1368 | |||
| 1372 | self.setup(id=id, |
|
1369 | self.setup(id=id, | |
| 1373 | nplots=nplots, |
|
1370 | nplots=nplots, | |
| 1374 | wintitle=wintitle, |
|
1371 | wintitle=wintitle, | |
| 1375 | showprofile=showprofile, |
|
1372 | showprofile=showprofile, | |
| 1376 | show=show) |
|
1373 | show=show) | |
| 1377 |
|
1374 | |||
| 1378 | if xmin == None: xmin = numpy.nanmin(x) |
|
1375 | if xmin == None: xmin = numpy.nanmin(x) | |
| 1379 | if xmax == None: xmax = numpy.nanmax(x) |
|
1376 | if xmax == None: xmax = numpy.nanmax(x) | |
| 1380 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
1377 | if ymin == None: ymin = numpy.nanmin(zdB) | |
| 1381 | if ymax == None: ymax = numpy.nanmax(zdB)+2 |
|
1378 | if ymax == None: ymax = numpy.nanmax(zdB)+2 | |
| 1382 |
|
1379 | |||
| 1383 | self.isConfig = True |
|
1380 | self.isConfig = True | |
| 1384 |
|
1381 | |||
| 1385 | self.setWinTitle(title) |
|
1382 | self.setWinTitle(title) | |
| 1386 | for i in range(self.nplots): |
|
1383 | for i in range(self.nplots): | |
| 1387 | # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i]) |
|
1384 | # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i]) | |
| 1388 | title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]) |
|
1385 | title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]) | |
| 1389 | axes = self.axesList[i*self.__nsubplots] |
|
1386 | axes = self.axesList[i*self.__nsubplots] | |
| 1390 | if fit == False: |
|
1387 | if fit == False: | |
| 1391 | axes.pline(x, zdB[i,:], |
|
1388 | axes.pline(x, zdB[i,:], | |
| 1392 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
1389 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 1393 | xlabel=xlabel, ylabel=ylabel, title=title |
|
1390 | xlabel=xlabel, ylabel=ylabel, title=title | |
| 1394 | ) |
|
1391 | ) | |
| 1395 | if fit == True: |
|
1392 | if fit == True: | |
| 1396 | fitline=spcFitLinedB[i,:] |
|
1393 | fitline=spcFitLinedB[i,:] | |
| 1397 | y=numpy.vstack([zdB[i,:],fitline] ) |
|
1394 | y=numpy.vstack([zdB[i,:],fitline] ) | |
| 1398 | legendlabels=['Data','Fitting'] |
|
1395 | legendlabels=['Data','Fitting'] | |
| 1399 | axes.pmultilineyaxis(x, y, |
|
1396 | axes.pmultilineyaxis(x, y, | |
| 1400 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
1397 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 1401 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
1398 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 1402 | legendlabels=legendlabels, marker=None, |
|
1399 | legendlabels=legendlabels, marker=None, | |
| 1403 | linestyle='solid', grid='both') |
|
1400 | linestyle='solid', grid='both') | |
| 1404 |
|
1401 | |||
| 1405 | self.draw() |
|
1402 | self.draw() | |
| 1406 |
|
1403 | |||
| 1407 | self.save(figpath=figpath, |
|
1404 | self.save(figpath=figpath, | |
| 1408 | figfile=figfile, |
|
1405 | figfile=figfile, | |
| 1409 | save=save, |
|
1406 | save=save, | |
| 1410 | ftp=ftp, |
|
1407 | ftp=ftp, | |
| 1411 | wr_period=wr_period, |
|
1408 | wr_period=wr_period, | |
| 1412 | thisDatetime=thisDatetime) |
|
1409 | thisDatetime=thisDatetime) | |
| 1413 |
|
1410 | |||
| 1414 |
|
1411 | |||
| 1415 | class EWDriftsPlot(Figure): |
|
1412 | class EWDriftsPlot(Figure): | |
| 1416 |
|
1413 | |||
| 1417 | __isConfig = None |
|
1414 | __isConfig = None | |
| 1418 | __nsubplots = None |
|
1415 | __nsubplots = None | |
| 1419 |
|
1416 | |||
| 1420 | WIDTHPROF = None |
|
1417 | WIDTHPROF = None | |
| 1421 | HEIGHTPROF = None |
|
1418 | HEIGHTPROF = None | |
| 1422 | PREFIX = 'drift' |
|
1419 | PREFIX = 'drift' | |
| 1423 |
|
1420 | |||
| 1424 | def __init__(self, **kwargs): |
|
1421 | def __init__(self, **kwargs): | |
| 1425 | Figure.__init__(self, **kwargs) |
|
1422 | Figure.__init__(self, **kwargs) | |
| 1426 | self.timerange = 2*60*60 |
|
1423 | self.timerange = 2*60*60 | |
| 1427 | self.isConfig = False |
|
1424 | self.isConfig = False | |
| 1428 | self.__nsubplots = 1 |
|
1425 | self.__nsubplots = 1 | |
| 1429 |
|
1426 | |||
| 1430 | self.WIDTH = 800 |
|
1427 | self.WIDTH = 800 | |
| 1431 | self.HEIGHT = 150 |
|
1428 | self.HEIGHT = 150 | |
| 1432 | self.WIDTHPROF = 120 |
|
1429 | self.WIDTHPROF = 120 | |
| 1433 | self.HEIGHTPROF = 0 |
|
1430 | self.HEIGHTPROF = 0 | |
| 1434 | self.counter_imagwr = 0 |
|
1431 | self.counter_imagwr = 0 | |
| 1435 |
|
1432 | |||
| 1436 | self.PLOT_CODE = EWDRIFT_CODE |
|
1433 | self.PLOT_CODE = EWDRIFT_CODE | |
| 1437 |
|
1434 | |||
| 1438 | self.FTP_WEI = None |
|
1435 | self.FTP_WEI = None | |
| 1439 | self.EXP_CODE = None |
|
1436 | self.EXP_CODE = None | |
| 1440 | self.SUB_EXP_CODE = None |
|
1437 | self.SUB_EXP_CODE = None | |
| 1441 | self.PLOT_POS = None |
|
1438 | self.PLOT_POS = None | |
| 1442 | self.tmin = None |
|
1439 | self.tmin = None | |
| 1443 | self.tmax = None |
|
1440 | self.tmax = None | |
| 1444 |
|
1441 | |||
| 1445 | self.xmin = None |
|
1442 | self.xmin = None | |
| 1446 | self.xmax = None |
|
1443 | self.xmax = None | |
| 1447 |
|
1444 | |||
| 1448 | self.figfile = None |
|
1445 | self.figfile = None | |
| 1449 |
|
1446 | |||
| 1450 | def getSubplots(self): |
|
1447 | def getSubplots(self): | |
| 1451 |
|
1448 | |||
| 1452 | ncol = 1 |
|
1449 | ncol = 1 | |
| 1453 | nrow = self.nplots |
|
1450 | nrow = self.nplots | |
| 1454 |
|
1451 | |||
| 1455 | return nrow, ncol |
|
1452 | return nrow, ncol | |
| 1456 |
|
1453 | |||
| 1457 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1454 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1458 |
|
1455 | |||
| 1459 | self.__showprofile = showprofile |
|
1456 | self.__showprofile = showprofile | |
| 1460 | self.nplots = nplots |
|
1457 | self.nplots = nplots | |
| 1461 |
|
1458 | |||
| 1462 | ncolspan = 1 |
|
1459 | ncolspan = 1 | |
| 1463 | colspan = 1 |
|
1460 | colspan = 1 | |
| 1464 |
|
1461 | |||
| 1465 | self.createFigure(id = id, |
|
1462 | self.createFigure(id = id, | |
| 1466 | wintitle = wintitle, |
|
1463 | wintitle = wintitle, | |
| 1467 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
1464 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 1468 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
1465 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 1469 | show=show) |
|
1466 | show=show) | |
| 1470 |
|
1467 | |||
| 1471 | nrow, ncol = self.getSubplots() |
|
1468 | nrow, ncol = self.getSubplots() | |
| 1472 |
|
1469 | |||
| 1473 | counter = 0 |
|
1470 | counter = 0 | |
| 1474 | for y in range(nrow): |
|
1471 | for y in range(nrow): | |
| 1475 | if counter >= self.nplots: |
|
1472 | if counter >= self.nplots: | |
| 1476 | break |
|
1473 | break | |
| 1477 |
|
1474 | |||
| 1478 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
1475 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) | |
| 1479 | counter += 1 |
|
1476 | counter += 1 | |
| 1480 |
|
1477 | |||
| 1481 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
1478 | def run(self, dataOut, id, wintitle="", channelList=None, | |
| 1482 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
1479 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 1483 | zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None, |
|
1480 | zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None, | |
| 1484 | timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False, |
|
1481 | timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False, | |
| 1485 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
1482 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 1486 | server=None, folder=None, username=None, password=None, |
|
1483 | server=None, folder=None, username=None, password=None, | |
| 1487 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1484 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1488 | """ |
|
1485 | """ | |
| 1489 |
|
1486 | |||
| 1490 | Input: |
|
1487 | Input: | |
| 1491 | dataOut : |
|
1488 | dataOut : | |
| 1492 | id : |
|
1489 | id : | |
| 1493 | wintitle : |
|
1490 | wintitle : | |
| 1494 | channelList : |
|
1491 | channelList : | |
| 1495 | showProfile : |
|
1492 | showProfile : | |
| 1496 | xmin : None, |
|
1493 | xmin : None, | |
| 1497 | xmax : None, |
|
1494 | xmax : None, | |
| 1498 | ymin : None, |
|
1495 | ymin : None, | |
| 1499 | ymax : None, |
|
1496 | ymax : None, | |
| 1500 | zmin : None, |
|
1497 | zmin : None, | |
| 1501 | zmax : None |
|
1498 | zmax : None | |
| 1502 | """ |
|
1499 | """ | |
| 1503 |
|
1500 | |||
| 1504 | if timerange is not None: |
|
1501 | if timerange is not None: | |
| 1505 | self.timerange = timerange |
|
1502 | self.timerange = timerange | |
| 1506 |
|
1503 | |||
| 1507 | tmin = None |
|
1504 | tmin = None | |
| 1508 | tmax = None |
|
1505 | tmax = None | |
| 1509 |
|
1506 | |||
| 1510 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
1507 | x = dataOut.getTimeRange1(dataOut.outputInterval) | |
| 1511 | # y = dataOut.heightList |
|
1508 | # y = dataOut.heightList | |
| 1512 | y = dataOut.heightList |
|
1509 | y = dataOut.heightList | |
| 1513 |
|
1510 | |||
| 1514 | z = dataOut.data_output |
|
1511 | z = dataOut.data_output | |
| 1515 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
1512 | nplots = z.shape[0] #Number of wind dimensions estimated | |
| 1516 | nplotsw = nplots |
|
1513 | nplotsw = nplots | |
| 1517 |
|
1514 | |||
| 1518 | #If there is a SNR function defined |
|
1515 | #If there is a SNR function defined | |
| 1519 | if dataOut.data_SNR is not None: |
|
1516 | if dataOut.data_SNR is not None: | |
| 1520 | nplots += 1 |
|
1517 | nplots += 1 | |
| 1521 | SNR = dataOut.data_SNR |
|
1518 | SNR = dataOut.data_SNR | |
| 1522 |
|
1519 | |||
| 1523 | if SNR_1: |
|
1520 | if SNR_1: | |
| 1524 | SNR += 1 |
|
1521 | SNR += 1 | |
| 1525 |
|
1522 | |||
| 1526 | SNRavg = numpy.average(SNR, axis=0) |
|
1523 | SNRavg = numpy.average(SNR, axis=0) | |
| 1527 |
|
1524 | |||
| 1528 | SNRdB = 10*numpy.log10(SNR) |
|
1525 | SNRdB = 10*numpy.log10(SNR) | |
| 1529 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
1526 | SNRavgdB = 10*numpy.log10(SNRavg) | |
| 1530 |
|
1527 | |||
| 1531 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
1528 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] | |
| 1532 |
|
1529 | |||
| 1533 | for i in range(nplotsw): |
|
1530 | for i in range(nplotsw): | |
| 1534 | z[i,ind] = numpy.nan |
|
1531 | z[i,ind] = numpy.nan | |
| 1535 |
|
1532 | |||
| 1536 |
|
1533 | |||
| 1537 | showprofile = False |
|
1534 | showprofile = False | |
| 1538 | # thisDatetime = dataOut.datatime |
|
1535 | # thisDatetime = dataOut.datatime | |
| 1539 | thisDatetime = datetime.datetime.utcfromtimestamp(x[1]) |
|
1536 | thisDatetime = datetime.datetime.utcfromtimestamp(x[1]) | |
| 1540 | title = wintitle + " EW Drifts" |
|
1537 | title = wintitle + " EW Drifts" | |
| 1541 | xlabel = "" |
|
1538 | xlabel = "" | |
| 1542 | ylabel = "Height (Km)" |
|
1539 | ylabel = "Height (Km)" | |
| 1543 |
|
1540 | |||
| 1544 | if not self.isConfig: |
|
1541 | if not self.isConfig: | |
| 1545 |
|
1542 | |||
| 1546 | self.setup(id=id, |
|
1543 | self.setup(id=id, | |
| 1547 | nplots=nplots, |
|
1544 | nplots=nplots, | |
| 1548 | wintitle=wintitle, |
|
1545 | wintitle=wintitle, | |
| 1549 | showprofile=showprofile, |
|
1546 | showprofile=showprofile, | |
| 1550 | show=show) |
|
1547 | show=show) | |
| 1551 |
|
1548 | |||
| 1552 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1549 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1553 |
|
1550 | |||
| 1554 | if ymin == None: ymin = numpy.nanmin(y) |
|
1551 | if ymin == None: ymin = numpy.nanmin(y) | |
| 1555 | if ymax == None: ymax = numpy.nanmax(y) |
|
1552 | if ymax == None: ymax = numpy.nanmax(y) | |
| 1556 |
|
1553 | |||
| 1557 | if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:])) |
|
1554 | if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:])) | |
| 1558 | if zminZonal == None: zminZonal = -zmaxZonal |
|
1555 | if zminZonal == None: zminZonal = -zmaxZonal | |
| 1559 | if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:])) |
|
1556 | if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:])) | |
| 1560 | if zminVertical == None: zminVertical = -zmaxVertical |
|
1557 | if zminVertical == None: zminVertical = -zmaxVertical | |
| 1561 |
|
1558 | |||
| 1562 | if dataOut.data_SNR is not None: |
|
1559 | if dataOut.data_SNR is not None: | |
| 1563 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
1560 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) | |
| 1564 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
1561 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) | |
| 1565 |
|
1562 | |||
| 1566 | self.FTP_WEI = ftp_wei |
|
1563 | self.FTP_WEI = ftp_wei | |
| 1567 | self.EXP_CODE = exp_code |
|
1564 | self.EXP_CODE = exp_code | |
| 1568 | self.SUB_EXP_CODE = sub_exp_code |
|
1565 | self.SUB_EXP_CODE = sub_exp_code | |
| 1569 | self.PLOT_POS = plot_pos |
|
1566 | self.PLOT_POS = plot_pos | |
| 1570 |
|
1567 | |||
| 1571 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1568 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1572 | self.isConfig = True |
|
1569 | self.isConfig = True | |
| 1573 |
|
1570 | |||
| 1574 |
|
1571 | |||
| 1575 | self.setWinTitle(title) |
|
1572 | self.setWinTitle(title) | |
| 1576 |
|
1573 | |||
| 1577 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
1574 | if ((self.xmax - x[1]) < (x[1]-x[0])): | |
| 1578 | x[1] = self.xmax |
|
1575 | x[1] = self.xmax | |
| 1579 |
|
1576 | |||
| 1580 | strWind = ['Zonal','Vertical'] |
|
1577 | strWind = ['Zonal','Vertical'] | |
| 1581 | strCb = 'Velocity (m/s)' |
|
1578 | strCb = 'Velocity (m/s)' | |
| 1582 | zmaxVector = [zmaxZonal, zmaxVertical] |
|
1579 | zmaxVector = [zmaxZonal, zmaxVertical] | |
| 1583 | zminVector = [zminZonal, zminVertical] |
|
1580 | zminVector = [zminZonal, zminVertical] | |
| 1584 |
|
1581 | |||
| 1585 | for i in range(nplotsw): |
|
1582 | for i in range(nplotsw): | |
| 1586 |
|
1583 | |||
| 1587 | title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1584 | title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1588 | axes = self.axesList[i*self.__nsubplots] |
|
1585 | axes = self.axesList[i*self.__nsubplots] | |
| 1589 |
|
1586 | |||
| 1590 | z1 = z[i,:].reshape((1,-1)) |
|
1587 | z1 = z[i,:].reshape((1,-1)) | |
| 1591 |
|
1588 | |||
| 1592 | axes.pcolorbuffer(x, y, z1, |
|
1589 | axes.pcolorbuffer(x, y, z1, | |
| 1593 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
1590 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], | |
| 1594 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
1591 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 1595 | ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r") |
|
1592 | ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r") | |
| 1596 |
|
1593 | |||
| 1597 | if dataOut.data_SNR is not None: |
|
1594 | if dataOut.data_SNR is not None: | |
| 1598 | i += 1 |
|
1595 | i += 1 | |
| 1599 | if SNR_1: |
|
1596 | if SNR_1: | |
| 1600 | title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1597 | title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1601 | else: |
|
1598 | else: | |
| 1602 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1599 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1603 | axes = self.axesList[i*self.__nsubplots] |
|
1600 | axes = self.axesList[i*self.__nsubplots] | |
| 1604 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
1601 | SNRavgdB = SNRavgdB.reshape((1,-1)) | |
| 1605 |
|
1602 | |||
| 1606 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
1603 | axes.pcolorbuffer(x, y, SNRavgdB, | |
| 1607 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
1604 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, | |
| 1608 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
1605 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 1609 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
1606 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") | |
| 1610 |
|
1607 | |||
| 1611 | self.draw() |
|
1608 | self.draw() | |
| 1612 |
|
1609 | |||
| 1613 | if x[1] >= self.axesList[0].xmax: |
|
1610 | if x[1] >= self.axesList[0].xmax: | |
| 1614 | self.counter_imagwr = wr_period |
|
1611 | self.counter_imagwr = wr_period | |
| 1615 | self.isConfig = False |
|
1612 | self.isConfig = False | |
| 1616 | self.figfile = None |
|
1613 | self.figfile = None | |
| 1617 |
|
1614 | |||
| 1618 |
|
1615 | |||
| 1619 |
|
1616 | |||
| 1620 |
|
1617 | |||
| 1621 | class PhasePlot(Figure): |
|
1618 | class PhasePlot(Figure): | |
| 1622 |
|
1619 | |||
| 1623 | __isConfig = None |
|
1620 | __isConfig = None | |
| 1624 | __nsubplots = None |
|
1621 | __nsubplots = None | |
| 1625 |
|
1622 | |||
| 1626 | PREFIX = 'mphase' |
|
1623 | PREFIX = 'mphase' | |
| 1627 |
|
1624 | |||
| 1628 |
|
1625 | |||
| 1629 | def __init__(self, **kwargs): |
|
1626 | def __init__(self, **kwargs): | |
| 1630 | Figure.__init__(self, **kwargs) |
|
1627 | Figure.__init__(self, **kwargs) | |
| 1631 | self.timerange = 24*60*60 |
|
1628 | self.timerange = 24*60*60 | |
| 1632 | self.isConfig = False |
|
1629 | self.isConfig = False | |
| 1633 | self.__nsubplots = 1 |
|
1630 | self.__nsubplots = 1 | |
| 1634 | self.counter_imagwr = 0 |
|
1631 | self.counter_imagwr = 0 | |
| 1635 | self.WIDTH = 600 |
|
1632 | self.WIDTH = 600 | |
| 1636 | self.HEIGHT = 300 |
|
1633 | self.HEIGHT = 300 | |
| 1637 | self.WIDTHPROF = 120 |
|
1634 | self.WIDTHPROF = 120 | |
| 1638 | self.HEIGHTPROF = 0 |
|
1635 | self.HEIGHTPROF = 0 | |
| 1639 | self.xdata = None |
|
1636 | self.xdata = None | |
| 1640 | self.ydata = None |
|
1637 | self.ydata = None | |
| 1641 |
|
1638 | |||
| 1642 | self.PLOT_CODE = MPHASE_CODE |
|
1639 | self.PLOT_CODE = MPHASE_CODE | |
| 1643 |
|
1640 | |||
| 1644 | self.FTP_WEI = None |
|
1641 | self.FTP_WEI = None | |
| 1645 | self.EXP_CODE = None |
|
1642 | self.EXP_CODE = None | |
| 1646 | self.SUB_EXP_CODE = None |
|
1643 | self.SUB_EXP_CODE = None | |
| 1647 | self.PLOT_POS = None |
|
1644 | self.PLOT_POS = None | |
| 1648 |
|
1645 | |||
| 1649 |
|
1646 | |||
| 1650 | self.filename_phase = None |
|
1647 | self.filename_phase = None | |
| 1651 |
|
1648 | |||
| 1652 | self.figfile = None |
|
1649 | self.figfile = None | |
| 1653 |
|
1650 | |||
| 1654 | def getSubplots(self): |
|
1651 | def getSubplots(self): | |
| 1655 |
|
1652 | |||
| 1656 | ncol = 1 |
|
1653 | ncol = 1 | |
| 1657 | nrow = 1 |
|
1654 | nrow = 1 | |
| 1658 |
|
1655 | |||
| 1659 | return nrow, ncol |
|
1656 | return nrow, ncol | |
| 1660 |
|
1657 | |||
| 1661 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1658 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1662 |
|
1659 | |||
| 1663 | self.__showprofile = showprofile |
|
1660 | self.__showprofile = showprofile | |
| 1664 | self.nplots = nplots |
|
1661 | self.nplots = nplots | |
| 1665 |
|
1662 | |||
| 1666 | ncolspan = 7 |
|
1663 | ncolspan = 7 | |
| 1667 | colspan = 6 |
|
1664 | colspan = 6 | |
| 1668 | self.__nsubplots = 2 |
|
1665 | self.__nsubplots = 2 | |
| 1669 |
|
1666 | |||
| 1670 | self.createFigure(id = id, |
|
1667 | self.createFigure(id = id, | |
| 1671 | wintitle = wintitle, |
|
1668 | wintitle = wintitle, | |
| 1672 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1669 | widthplot = self.WIDTH+self.WIDTHPROF, | |
| 1673 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1670 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
| 1674 | show=show) |
|
1671 | show=show) | |
| 1675 |
|
1672 | |||
| 1676 | nrow, ncol = self.getSubplots() |
|
1673 | nrow, ncol = self.getSubplots() | |
| 1677 |
|
1674 | |||
| 1678 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1675 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
| 1679 |
|
1676 | |||
| 1680 |
|
1677 | |||
| 1681 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
1678 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
| 1682 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1679 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 1683 | timerange=None, |
|
1680 | timerange=None, | |
| 1684 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1681 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1685 | server=None, folder=None, username=None, password=None, |
|
1682 | server=None, folder=None, username=None, password=None, | |
| 1686 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1683 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1687 |
|
1684 | |||
| 1688 |
|
1685 | |||
| 1689 | tmin = None |
|
1686 | tmin = None | |
| 1690 | tmax = None |
|
1687 | tmax = None | |
| 1691 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
1688 | x = dataOut.getTimeRange1(dataOut.outputInterval) | |
| 1692 | y = dataOut.getHeiRange() |
|
1689 | y = dataOut.getHeiRange() | |
| 1693 |
|
1690 | |||
| 1694 |
|
1691 | |||
| 1695 | #thisDatetime = dataOut.datatime |
|
1692 | #thisDatetime = dataOut.datatime | |
| 1696 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
1693 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 1697 | title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1694 | title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1698 | xlabel = "Local Time" |
|
1695 | xlabel = "Local Time" | |
| 1699 | ylabel = "Phase" |
|
1696 | ylabel = "Phase" | |
| 1700 |
|
1697 | |||
| 1701 |
|
1698 | |||
| 1702 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
1699 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) | |
| 1703 | phase_beacon = dataOut.data_output |
|
1700 | phase_beacon = dataOut.data_output | |
| 1704 | update_figfile = False |
|
1701 | update_figfile = False | |
| 1705 |
|
1702 | |||
| 1706 | if not self.isConfig: |
|
1703 | if not self.isConfig: | |
| 1707 |
|
1704 | |||
| 1708 | self.nplots = phase_beacon.size |
|
1705 | self.nplots = phase_beacon.size | |
| 1709 |
|
1706 | |||
| 1710 | self.setup(id=id, |
|
1707 | self.setup(id=id, | |
| 1711 | nplots=self.nplots, |
|
1708 | nplots=self.nplots, | |
| 1712 | wintitle=wintitle, |
|
1709 | wintitle=wintitle, | |
| 1713 | showprofile=showprofile, |
|
1710 | showprofile=showprofile, | |
| 1714 | show=show) |
|
1711 | show=show) | |
| 1715 |
|
1712 | |||
| 1716 | if timerange is not None: |
|
1713 | if timerange is not None: | |
| 1717 | self.timerange = timerange |
|
1714 | self.timerange = timerange | |
| 1718 |
|
1715 | |||
| 1719 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1716 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1720 |
|
1717 | |||
| 1721 | if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0 |
|
1718 | if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0 | |
| 1722 | if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0 |
|
1719 | if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0 | |
| 1723 |
|
1720 | |||
| 1724 | self.FTP_WEI = ftp_wei |
|
1721 | self.FTP_WEI = ftp_wei | |
| 1725 | self.EXP_CODE = exp_code |
|
1722 | self.EXP_CODE = exp_code | |
| 1726 | self.SUB_EXP_CODE = sub_exp_code |
|
1723 | self.SUB_EXP_CODE = sub_exp_code | |
| 1727 | self.PLOT_POS = plot_pos |
|
1724 | self.PLOT_POS = plot_pos | |
| 1728 |
|
1725 | |||
| 1729 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1726 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1730 | self.isConfig = True |
|
1727 | self.isConfig = True | |
| 1731 | self.figfile = figfile |
|
1728 | self.figfile = figfile | |
| 1732 | self.xdata = numpy.array([]) |
|
1729 | self.xdata = numpy.array([]) | |
| 1733 | self.ydata = numpy.array([]) |
|
1730 | self.ydata = numpy.array([]) | |
| 1734 |
|
1731 | |||
| 1735 | #open file beacon phase |
|
1732 | #open file beacon phase | |
| 1736 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1733 | path = '%s%03d' %(self.PREFIX, self.id) | |
| 1737 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
1734 | beacon_file = os.path.join(path,'%s.txt'%self.name) | |
| 1738 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
1735 | self.filename_phase = os.path.join(figpath,beacon_file) | |
| 1739 | update_figfile = True |
|
1736 | update_figfile = True | |
| 1740 |
|
1737 | |||
| 1741 |
|
1738 | |||
| 1742 | #store data beacon phase |
|
1739 | #store data beacon phase | |
| 1743 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
1740 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) | |
| 1744 |
|
1741 | |||
| 1745 | self.setWinTitle(title) |
|
1742 | self.setWinTitle(title) | |
| 1746 |
|
1743 | |||
| 1747 |
|
1744 | |||
| 1748 | title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1745 | title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1749 |
|
1746 | |||
| 1750 | legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)] |
|
1747 | legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)] | |
| 1751 |
|
1748 | |||
| 1752 | axes = self.axesList[0] |
|
1749 | axes = self.axesList[0] | |
| 1753 |
|
1750 | |||
| 1754 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1751 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
| 1755 |
|
1752 | |||
| 1756 | if len(self.ydata)==0: |
|
1753 | if len(self.ydata)==0: | |
| 1757 | self.ydata = phase_beacon.reshape(-1,1) |
|
1754 | self.ydata = phase_beacon.reshape(-1,1) | |
| 1758 | else: |
|
1755 | else: | |
| 1759 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
1756 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) | |
| 1760 |
|
1757 | |||
| 1761 |
|
1758 | |||
| 1762 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1759 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
| 1763 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1760 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
| 1764 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1761 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
| 1765 | XAxisAsTime=True, grid='both' |
|
1762 | XAxisAsTime=True, grid='both' | |
| 1766 | ) |
|
1763 | ) | |
| 1767 |
|
1764 | |||
| 1768 | self.draw() |
|
1765 | self.draw() | |
| 1769 |
|
1766 | |||
| 1770 | self.save(figpath=figpath, |
|
1767 | self.save(figpath=figpath, | |
| 1771 | figfile=figfile, |
|
1768 | figfile=figfile, | |
| 1772 | save=save, |
|
1769 | save=save, | |
| 1773 | ftp=ftp, |
|
1770 | ftp=ftp, | |
| 1774 | wr_period=wr_period, |
|
1771 | wr_period=wr_period, | |
| 1775 | thisDatetime=thisDatetime, |
|
1772 | thisDatetime=thisDatetime, | |
| 1776 | update_figfile=update_figfile) |
|
1773 | update_figfile=update_figfile) | |
| 1777 |
|
1774 | |||
| 1778 | if dataOut.ltctime + dataOut.outputInterval >= self.xmax: |
|
1775 | if dataOut.ltctime + dataOut.outputInterval >= self.xmax: | |
| 1779 | self.counter_imagwr = wr_period |
|
1776 | self.counter_imagwr = wr_period | |
| 1780 | self.isConfig = False |
|
1777 | self.isConfig = False | |
| 1781 | update_figfile = True |
|
1778 | update_figfile = True | |
| 1782 |
|
1779 | |||
| 1783 |
|
1780 | |||
| 1784 |
|
1781 | |||
| 1785 | class NSMeteorDetection1Plot(Figure): |
|
1782 | class NSMeteorDetection1Plot(Figure): | |
| 1786 |
|
1783 | |||
| 1787 | isConfig = None |
|
1784 | isConfig = None | |
| 1788 | __nsubplots = None |
|
1785 | __nsubplots = None | |
| 1789 |
|
1786 | |||
| 1790 | WIDTHPROF = None |
|
1787 | WIDTHPROF = None | |
| 1791 | HEIGHTPROF = None |
|
1788 | HEIGHTPROF = None | |
| 1792 | PREFIX = 'nsm' |
|
1789 | PREFIX = 'nsm' | |
| 1793 |
|
1790 | |||
| 1794 | zminList = None |
|
1791 | zminList = None | |
| 1795 | zmaxList = None |
|
1792 | zmaxList = None | |
| 1796 | cmapList = None |
|
1793 | cmapList = None | |
| 1797 | titleList = None |
|
1794 | titleList = None | |
| 1798 | nPairs = None |
|
1795 | nPairs = None | |
| 1799 | nChannels = None |
|
1796 | nChannels = None | |
| 1800 | nParam = None |
|
1797 | nParam = None | |
| 1801 |
|
1798 | |||
| 1802 | def __init__(self, **kwargs): |
|
1799 | def __init__(self, **kwargs): | |
| 1803 | Figure.__init__(self, **kwargs) |
|
1800 | Figure.__init__(self, **kwargs) | |
| 1804 | self.isConfig = False |
|
1801 | self.isConfig = False | |
| 1805 | self.__nsubplots = 1 |
|
1802 | self.__nsubplots = 1 | |
| 1806 |
|
1803 | |||
| 1807 | self.WIDTH = 750 |
|
1804 | self.WIDTH = 750 | |
| 1808 | self.HEIGHT = 250 |
|
1805 | self.HEIGHT = 250 | |
| 1809 | self.WIDTHPROF = 120 |
|
1806 | self.WIDTHPROF = 120 | |
| 1810 | self.HEIGHTPROF = 0 |
|
1807 | self.HEIGHTPROF = 0 | |
| 1811 | self.counter_imagwr = 0 |
|
1808 | self.counter_imagwr = 0 | |
| 1812 |
|
1809 | |||
| 1813 | self.PLOT_CODE = SPEC_CODE |
|
1810 | self.PLOT_CODE = SPEC_CODE | |
| 1814 |
|
1811 | |||
| 1815 | self.FTP_WEI = None |
|
1812 | self.FTP_WEI = None | |
| 1816 | self.EXP_CODE = None |
|
1813 | self.EXP_CODE = None | |
| 1817 | self.SUB_EXP_CODE = None |
|
1814 | self.SUB_EXP_CODE = None | |
| 1818 | self.PLOT_POS = None |
|
1815 | self.PLOT_POS = None | |
| 1819 |
|
1816 | |||
| 1820 | self.__xfilter_ena = False |
|
1817 | self.__xfilter_ena = False | |
| 1821 | self.__yfilter_ena = False |
|
1818 | self.__yfilter_ena = False | |
| 1822 |
|
1819 | |||
| 1823 | def getSubplots(self): |
|
1820 | def getSubplots(self): | |
| 1824 |
|
1821 | |||
| 1825 | ncol = 3 |
|
1822 | ncol = 3 | |
| 1826 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
1823 | nrow = int(numpy.ceil(self.nplots/3.0)) | |
| 1827 |
|
1824 | |||
| 1828 | return nrow, ncol |
|
1825 | return nrow, ncol | |
| 1829 |
|
1826 | |||
| 1830 | def setup(self, id, nplots, wintitle, show=True): |
|
1827 | def setup(self, id, nplots, wintitle, show=True): | |
| 1831 |
|
1828 | |||
| 1832 | self.nplots = nplots |
|
1829 | self.nplots = nplots | |
| 1833 |
|
1830 | |||
| 1834 | ncolspan = 1 |
|
1831 | ncolspan = 1 | |
| 1835 | colspan = 1 |
|
1832 | colspan = 1 | |
| 1836 |
|
1833 | |||
| 1837 | self.createFigure(id = id, |
|
1834 | self.createFigure(id = id, | |
| 1838 | wintitle = wintitle, |
|
1835 | wintitle = wintitle, | |
| 1839 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
1836 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 1840 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
1837 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 1841 | show=show) |
|
1838 | show=show) | |
| 1842 |
|
1839 | |||
| 1843 | nrow, ncol = self.getSubplots() |
|
1840 | nrow, ncol = self.getSubplots() | |
| 1844 |
|
1841 | |||
| 1845 | counter = 0 |
|
1842 | counter = 0 | |
| 1846 | for y in range(nrow): |
|
1843 | for y in range(nrow): | |
| 1847 | for x in range(ncol): |
|
1844 | for x in range(ncol): | |
| 1848 |
|
1845 | |||
| 1849 | if counter >= self.nplots: |
|
1846 | if counter >= self.nplots: | |
| 1850 | break |
|
1847 | break | |
| 1851 |
|
1848 | |||
| 1852 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
1849 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 1853 |
|
1850 | |||
| 1854 | counter += 1 |
|
1851 | counter += 1 | |
| 1855 |
|
1852 | |||
| 1856 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
1853 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 1857 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
1854 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, | |
| 1858 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
1855 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', | |
| 1859 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1856 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1860 | server=None, folder=None, username=None, password=None, |
|
1857 | server=None, folder=None, username=None, password=None, | |
| 1861 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
1858 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
| 1862 | xaxis="frequency"): |
|
1859 | xaxis="frequency"): | |
| 1863 |
|
1860 | |||
| 1864 | """ |
|
1861 | """ | |
| 1865 |
|
1862 | |||
| 1866 | Input: |
|
1863 | Input: | |
| 1867 | dataOut : |
|
1864 | dataOut : | |
| 1868 | id : |
|
1865 | id : | |
| 1869 | wintitle : |
|
1866 | wintitle : | |
| 1870 | channelList : |
|
1867 | channelList : | |
| 1871 | showProfile : |
|
1868 | showProfile : | |
| 1872 | xmin : None, |
|
1869 | xmin : None, | |
| 1873 | xmax : None, |
|
1870 | xmax : None, | |
| 1874 | ymin : None, |
|
1871 | ymin : None, | |
| 1875 | ymax : None, |
|
1872 | ymax : None, | |
| 1876 | zmin : None, |
|
1873 | zmin : None, | |
| 1877 | zmax : None |
|
1874 | zmax : None | |
| 1878 | """ |
|
1875 | """ | |
| 1879 | #SEPARAR EN DOS PLOTS |
|
1876 | #SEPARAR EN DOS PLOTS | |
| 1880 | nParam = dataOut.data_param.shape[1] - 3 |
|
1877 | nParam = dataOut.data_param.shape[1] - 3 | |
| 1881 |
|
1878 | |||
| 1882 | utctime = dataOut.data_param[0,0] |
|
1879 | utctime = dataOut.data_param[0,0] | |
| 1883 | tmet = dataOut.data_param[:,1].astype(int) |
|
1880 | tmet = dataOut.data_param[:,1].astype(int) | |
| 1884 | hmet = dataOut.data_param[:,2].astype(int) |
|
1881 | hmet = dataOut.data_param[:,2].astype(int) | |
| 1885 |
|
1882 | |||
| 1886 | x = dataOut.abscissaList |
|
1883 | x = dataOut.abscissaList | |
| 1887 | y = dataOut.heightList |
|
1884 | y = dataOut.heightList | |
| 1888 |
|
1885 | |||
| 1889 | z = numpy.zeros((nParam, y.size, x.size - 1)) |
|
1886 | z = numpy.zeros((nParam, y.size, x.size - 1)) | |
| 1890 | z[:,:] = numpy.nan |
|
1887 | z[:,:] = numpy.nan | |
| 1891 | z[:,hmet,tmet] = dataOut.data_param[:,3:].T |
|
1888 | z[:,hmet,tmet] = dataOut.data_param[:,3:].T | |
| 1892 | z[0,:,:] = 10*numpy.log10(z[0,:,:]) |
|
1889 | z[0,:,:] = 10*numpy.log10(z[0,:,:]) | |
| 1893 |
|
1890 | |||
| 1894 | xlabel = "Time (s)" |
|
1891 | xlabel = "Time (s)" | |
| 1895 | ylabel = "Range (km)" |
|
1892 | ylabel = "Range (km)" | |
| 1896 |
|
1893 | |||
| 1897 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
1894 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 1898 |
|
1895 | |||
| 1899 | if not self.isConfig: |
|
1896 | if not self.isConfig: | |
| 1900 |
|
1897 | |||
| 1901 | nplots = nParam |
|
1898 | nplots = nParam | |
| 1902 |
|
1899 | |||
| 1903 | self.setup(id=id, |
|
1900 | self.setup(id=id, | |
| 1904 | nplots=nplots, |
|
1901 | nplots=nplots, | |
| 1905 | wintitle=wintitle, |
|
1902 | wintitle=wintitle, | |
| 1906 | show=show) |
|
1903 | show=show) | |
| 1907 |
|
1904 | |||
| 1908 | if xmin is None: xmin = numpy.nanmin(x) |
|
1905 | if xmin is None: xmin = numpy.nanmin(x) | |
| 1909 | if xmax is None: xmax = numpy.nanmax(x) |
|
1906 | if xmax is None: xmax = numpy.nanmax(x) | |
| 1910 | if ymin is None: ymin = numpy.nanmin(y) |
|
1907 | if ymin is None: ymin = numpy.nanmin(y) | |
| 1911 | if ymax is None: ymax = numpy.nanmax(y) |
|
1908 | if ymax is None: ymax = numpy.nanmax(y) | |
| 1912 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
1909 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) | |
| 1913 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
1910 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) | |
| 1914 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
1911 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) | |
| 1915 | if vmin is None: vmin = -vmax |
|
1912 | if vmin is None: vmin = -vmax | |
| 1916 | if wmin is None: wmin = 0 |
|
1913 | if wmin is None: wmin = 0 | |
| 1917 | if wmax is None: wmax = 50 |
|
1914 | if wmax is None: wmax = 50 | |
| 1918 |
|
1915 | |||
| 1919 | pairsList = dataOut.groupList |
|
1916 | pairsList = dataOut.groupList | |
| 1920 | self.nPairs = len(dataOut.groupList) |
|
1917 | self.nPairs = len(dataOut.groupList) | |
| 1921 |
|
1918 | |||
| 1922 | zminList = [SNRmin, vmin, cmin] + [pmin]*self.nPairs |
|
1919 | zminList = [SNRmin, vmin, cmin] + [pmin]*self.nPairs | |
| 1923 | zmaxList = [SNRmax, vmax, cmax] + [pmax]*self.nPairs |
|
1920 | zmaxList = [SNRmax, vmax, cmax] + [pmax]*self.nPairs | |
| 1924 | titleList = ["SNR","Radial Velocity","Coherence"] |
|
1921 | titleList = ["SNR","Radial Velocity","Coherence"] | |
| 1925 | cmapList = ["jet","RdBu_r","jet"] |
|
1922 | cmapList = ["jet","RdBu_r","jet"] | |
| 1926 |
|
1923 | |||
| 1927 | for i in range(self.nPairs): |
|
1924 | for i in range(self.nPairs): | |
| 1928 | strAux1 = "Phase Difference "+ str(pairsList[i][0]) + str(pairsList[i][1]) |
|
1925 | strAux1 = "Phase Difference "+ str(pairsList[i][0]) + str(pairsList[i][1]) | |
| 1929 | titleList = titleList + [strAux1] |
|
1926 | titleList = titleList + [strAux1] | |
| 1930 | cmapList = cmapList + ["RdBu_r"] |
|
1927 | cmapList = cmapList + ["RdBu_r"] | |
| 1931 |
|
1928 | |||
| 1932 | self.zminList = zminList |
|
1929 | self.zminList = zminList | |
| 1933 | self.zmaxList = zmaxList |
|
1930 | self.zmaxList = zmaxList | |
| 1934 | self.cmapList = cmapList |
|
1931 | self.cmapList = cmapList | |
| 1935 | self.titleList = titleList |
|
1932 | self.titleList = titleList | |
| 1936 |
|
1933 | |||
| 1937 | self.FTP_WEI = ftp_wei |
|
1934 | self.FTP_WEI = ftp_wei | |
| 1938 | self.EXP_CODE = exp_code |
|
1935 | self.EXP_CODE = exp_code | |
| 1939 | self.SUB_EXP_CODE = sub_exp_code |
|
1936 | self.SUB_EXP_CODE = sub_exp_code | |
| 1940 | self.PLOT_POS = plot_pos |
|
1937 | self.PLOT_POS = plot_pos | |
| 1941 |
|
1938 | |||
| 1942 | self.isConfig = True |
|
1939 | self.isConfig = True | |
| 1943 |
|
1940 | |||
| 1944 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
1941 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 1945 |
|
1942 | |||
| 1946 | for i in range(nParam): |
|
1943 | for i in range(nParam): | |
| 1947 | title = self.titleList[i] + ": " +str_datetime |
|
1944 | title = self.titleList[i] + ": " +str_datetime | |
| 1948 | axes = self.axesList[i] |
|
1945 | axes = self.axesList[i] | |
| 1949 | axes.pcolor(x, y, z[i,:].T, |
|
1946 | axes.pcolor(x, y, z[i,:].T, | |
| 1950 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
1947 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], | |
| 1951 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
1948 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') | |
| 1952 | self.draw() |
|
1949 | self.draw() | |
| 1953 |
|
1950 | |||
| 1954 | if figfile == None: |
|
1951 | if figfile == None: | |
| 1955 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1952 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1956 | name = str_datetime |
|
1953 | name = str_datetime | |
| 1957 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
1954 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 1958 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
1955 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
| 1959 | figfile = self.getFilename(name) |
|
1956 | figfile = self.getFilename(name) | |
| 1960 |
|
1957 | |||
| 1961 | self.save(figpath=figpath, |
|
1958 | self.save(figpath=figpath, | |
| 1962 | figfile=figfile, |
|
1959 | figfile=figfile, | |
| 1963 | save=save, |
|
1960 | save=save, | |
| 1964 | ftp=ftp, |
|
1961 | ftp=ftp, | |
| 1965 | wr_period=wr_period, |
|
1962 | wr_period=wr_period, | |
| 1966 | thisDatetime=thisDatetime) |
|
1963 | thisDatetime=thisDatetime) | |
| 1967 |
|
1964 | |||
| 1968 |
|
1965 | |||
| 1969 | class NSMeteorDetection2Plot(Figure): |
|
1966 | class NSMeteorDetection2Plot(Figure): | |
| 1970 |
|
1967 | |||
| 1971 | isConfig = None |
|
1968 | isConfig = None | |
| 1972 | __nsubplots = None |
|
1969 | __nsubplots = None | |
| 1973 |
|
1970 | |||
| 1974 | WIDTHPROF = None |
|
1971 | WIDTHPROF = None | |
| 1975 | HEIGHTPROF = None |
|
1972 | HEIGHTPROF = None | |
| 1976 | PREFIX = 'nsm' |
|
1973 | PREFIX = 'nsm' | |
| 1977 |
|
1974 | |||
| 1978 | zminList = None |
|
1975 | zminList = None | |
| 1979 | zmaxList = None |
|
1976 | zmaxList = None | |
| 1980 | cmapList = None |
|
1977 | cmapList = None | |
| 1981 | titleList = None |
|
1978 | titleList = None | |
| 1982 | nPairs = None |
|
1979 | nPairs = None | |
| 1983 | nChannels = None |
|
1980 | nChannels = None | |
| 1984 | nParam = None |
|
1981 | nParam = None | |
| 1985 |
|
1982 | |||
| 1986 | def __init__(self, **kwargs): |
|
1983 | def __init__(self, **kwargs): | |
| 1987 | Figure.__init__(self, **kwargs) |
|
1984 | Figure.__init__(self, **kwargs) | |
| 1988 | self.isConfig = False |
|
1985 | self.isConfig = False | |
| 1989 | self.__nsubplots = 1 |
|
1986 | self.__nsubplots = 1 | |
| 1990 |
|
1987 | |||
| 1991 | self.WIDTH = 750 |
|
1988 | self.WIDTH = 750 | |
| 1992 | self.HEIGHT = 250 |
|
1989 | self.HEIGHT = 250 | |
| 1993 | self.WIDTHPROF = 120 |
|
1990 | self.WIDTHPROF = 120 | |
| 1994 | self.HEIGHTPROF = 0 |
|
1991 | self.HEIGHTPROF = 0 | |
| 1995 | self.counter_imagwr = 0 |
|
1992 | self.counter_imagwr = 0 | |
| 1996 |
|
1993 | |||
| 1997 | self.PLOT_CODE = SPEC_CODE |
|
1994 | self.PLOT_CODE = SPEC_CODE | |
| 1998 |
|
1995 | |||
| 1999 | self.FTP_WEI = None |
|
1996 | self.FTP_WEI = None | |
| 2000 | self.EXP_CODE = None |
|
1997 | self.EXP_CODE = None | |
| 2001 | self.SUB_EXP_CODE = None |
|
1998 | self.SUB_EXP_CODE = None | |
| 2002 | self.PLOT_POS = None |
|
1999 | self.PLOT_POS = None | |
| 2003 |
|
2000 | |||
| 2004 | self.__xfilter_ena = False |
|
2001 | self.__xfilter_ena = False | |
| 2005 | self.__yfilter_ena = False |
|
2002 | self.__yfilter_ena = False | |
| 2006 |
|
2003 | |||
| 2007 | def getSubplots(self): |
|
2004 | def getSubplots(self): | |
| 2008 |
|
2005 | |||
| 2009 | ncol = 3 |
|
2006 | ncol = 3 | |
| 2010 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
2007 | nrow = int(numpy.ceil(self.nplots/3.0)) | |
| 2011 |
|
2008 | |||
| 2012 | return nrow, ncol |
|
2009 | return nrow, ncol | |
| 2013 |
|
2010 | |||
| 2014 | def setup(self, id, nplots, wintitle, show=True): |
|
2011 | def setup(self, id, nplots, wintitle, show=True): | |
| 2015 |
|
2012 | |||
| 2016 | self.nplots = nplots |
|
2013 | self.nplots = nplots | |
| 2017 |
|
2014 | |||
| 2018 | ncolspan = 1 |
|
2015 | ncolspan = 1 | |
| 2019 | colspan = 1 |
|
2016 | colspan = 1 | |
| 2020 |
|
2017 | |||
| 2021 | self.createFigure(id = id, |
|
2018 | self.createFigure(id = id, | |
| 2022 | wintitle = wintitle, |
|
2019 | wintitle = wintitle, | |
| 2023 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
2020 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 2024 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
2021 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 2025 | show=show) |
|
2022 | show=show) | |
| 2026 |
|
2023 | |||
| 2027 | nrow, ncol = self.getSubplots() |
|
2024 | nrow, ncol = self.getSubplots() | |
| 2028 |
|
2025 | |||
| 2029 | counter = 0 |
|
2026 | counter = 0 | |
| 2030 | for y in range(nrow): |
|
2027 | for y in range(nrow): | |
| 2031 | for x in range(ncol): |
|
2028 | for x in range(ncol): | |
| 2032 |
|
2029 | |||
| 2033 | if counter >= self.nplots: |
|
2030 | if counter >= self.nplots: | |
| 2034 | break |
|
2031 | break | |
| 2035 |
|
2032 | |||
| 2036 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
2033 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 2037 |
|
2034 | |||
| 2038 | counter += 1 |
|
2035 | counter += 1 | |
| 2039 |
|
2036 | |||
| 2040 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
2037 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 2041 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
2038 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, | |
| 2042 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
2039 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', | |
| 2043 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
2040 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 2044 | server=None, folder=None, username=None, password=None, |
|
2041 | server=None, folder=None, username=None, password=None, | |
| 2045 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
2042 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
| 2046 | xaxis="frequency"): |
|
2043 | xaxis="frequency"): | |
| 2047 |
|
2044 | |||
| 2048 | """ |
|
2045 | """ | |
| 2049 |
|
2046 | |||
| 2050 | Input: |
|
2047 | Input: | |
| 2051 | dataOut : |
|
2048 | dataOut : | |
| 2052 | id : |
|
2049 | id : | |
| 2053 | wintitle : |
|
2050 | wintitle : | |
| 2054 | channelList : |
|
2051 | channelList : | |
| 2055 | showProfile : |
|
2052 | showProfile : | |
| 2056 | xmin : None, |
|
2053 | xmin : None, | |
| 2057 | xmax : None, |
|
2054 | xmax : None, | |
| 2058 | ymin : None, |
|
2055 | ymin : None, | |
| 2059 | ymax : None, |
|
2056 | ymax : None, | |
| 2060 | zmin : None, |
|
2057 | zmin : None, | |
| 2061 | zmax : None |
|
2058 | zmax : None | |
| 2062 | """ |
|
2059 | """ | |
| 2063 | #Rebuild matrix |
|
2060 | #Rebuild matrix | |
| 2064 | utctime = dataOut.data_param[0,0] |
|
2061 | utctime = dataOut.data_param[0,0] | |
| 2065 | cmet = dataOut.data_param[:,1].astype(int) |
|
2062 | cmet = dataOut.data_param[:,1].astype(int) | |
| 2066 | tmet = dataOut.data_param[:,2].astype(int) |
|
2063 | tmet = dataOut.data_param[:,2].astype(int) | |
| 2067 | hmet = dataOut.data_param[:,3].astype(int) |
|
2064 | hmet = dataOut.data_param[:,3].astype(int) | |
| 2068 |
|
2065 | |||
| 2069 | nParam = 3 |
|
2066 | nParam = 3 | |
| 2070 | nChan = len(dataOut.groupList) |
|
2067 | nChan = len(dataOut.groupList) | |
| 2071 | x = dataOut.abscissaList |
|
2068 | x = dataOut.abscissaList | |
| 2072 | y = dataOut.heightList |
|
2069 | y = dataOut.heightList | |
| 2073 |
|
2070 | |||
| 2074 | z = numpy.full((nChan, nParam, y.size, x.size - 1),numpy.nan) |
|
2071 | z = numpy.full((nChan, nParam, y.size, x.size - 1),numpy.nan) | |
| 2075 | z[cmet,:,hmet,tmet] = dataOut.data_param[:,4:] |
|
2072 | z[cmet,:,hmet,tmet] = dataOut.data_param[:,4:] | |
| 2076 | z[:,0,:,:] = 10*numpy.log10(z[:,0,:,:]) #logarithmic scale |
|
2073 | z[:,0,:,:] = 10*numpy.log10(z[:,0,:,:]) #logarithmic scale | |
| 2077 | z = numpy.reshape(z, (nChan*nParam, y.size, x.size-1)) |
|
2074 | z = numpy.reshape(z, (nChan*nParam, y.size, x.size-1)) | |
| 2078 |
|
2075 | |||
| 2079 | xlabel = "Time (s)" |
|
2076 | xlabel = "Time (s)" | |
| 2080 | ylabel = "Range (km)" |
|
2077 | ylabel = "Range (km)" | |
| 2081 |
|
2078 | |||
| 2082 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
2079 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 2083 |
|
2080 | |||
| 2084 | if not self.isConfig: |
|
2081 | if not self.isConfig: | |
| 2085 |
|
2082 | |||
| 2086 | nplots = nParam*nChan |
|
2083 | nplots = nParam*nChan | |
| 2087 |
|
2084 | |||
| 2088 | self.setup(id=id, |
|
2085 | self.setup(id=id, | |
| 2089 | nplots=nplots, |
|
2086 | nplots=nplots, | |
| 2090 | wintitle=wintitle, |
|
2087 | wintitle=wintitle, | |
| 2091 | show=show) |
|
2088 | show=show) | |
| 2092 |
|
2089 | |||
| 2093 | if xmin is None: xmin = numpy.nanmin(x) |
|
2090 | if xmin is None: xmin = numpy.nanmin(x) | |
| 2094 | if xmax is None: xmax = numpy.nanmax(x) |
|
2091 | if xmax is None: xmax = numpy.nanmax(x) | |
| 2095 | if ymin is None: ymin = numpy.nanmin(y) |
|
2092 | if ymin is None: ymin = numpy.nanmin(y) | |
| 2096 | if ymax is None: ymax = numpy.nanmax(y) |
|
2093 | if ymax is None: ymax = numpy.nanmax(y) | |
| 2097 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
2094 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) | |
| 2098 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
2095 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) | |
| 2099 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
2096 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) | |
| 2100 | if vmin is None: vmin = -vmax |
|
2097 | if vmin is None: vmin = -vmax | |
| 2101 | if wmin is None: wmin = 0 |
|
2098 | if wmin is None: wmin = 0 | |
| 2102 | if wmax is None: wmax = 50 |
|
2099 | if wmax is None: wmax = 50 | |
| 2103 |
|
2100 | |||
| 2104 | self.nChannels = nChan |
|
2101 | self.nChannels = nChan | |
| 2105 |
|
2102 | |||
| 2106 | zminList = [] |
|
2103 | zminList = [] | |
| 2107 | zmaxList = [] |
|
2104 | zmaxList = [] | |
| 2108 | titleList = [] |
|
2105 | titleList = [] | |
| 2109 | cmapList = [] |
|
2106 | cmapList = [] | |
| 2110 | for i in range(self.nChannels): |
|
2107 | for i in range(self.nChannels): | |
| 2111 | strAux1 = "SNR Channel "+ str(i) |
|
2108 | strAux1 = "SNR Channel "+ str(i) | |
| 2112 | strAux2 = "Radial Velocity Channel "+ str(i) |
|
2109 | strAux2 = "Radial Velocity Channel "+ str(i) | |
| 2113 | strAux3 = "Spectral Width Channel "+ str(i) |
|
2110 | strAux3 = "Spectral Width Channel "+ str(i) | |
| 2114 |
|
2111 | |||
| 2115 | titleList = titleList + [strAux1,strAux2,strAux3] |
|
2112 | titleList = titleList + [strAux1,strAux2,strAux3] | |
| 2116 | cmapList = cmapList + ["jet","RdBu_r","jet"] |
|
2113 | cmapList = cmapList + ["jet","RdBu_r","jet"] | |
| 2117 | zminList = zminList + [SNRmin,vmin,wmin] |
|
2114 | zminList = zminList + [SNRmin,vmin,wmin] | |
| 2118 | zmaxList = zmaxList + [SNRmax,vmax,wmax] |
|
2115 | zmaxList = zmaxList + [SNRmax,vmax,wmax] | |
| 2119 |
|
2116 | |||
| 2120 | self.zminList = zminList |
|
2117 | self.zminList = zminList | |
| 2121 | self.zmaxList = zmaxList |
|
2118 | self.zmaxList = zmaxList | |
| 2122 | self.cmapList = cmapList |
|
2119 | self.cmapList = cmapList | |
| 2123 | self.titleList = titleList |
|
2120 | self.titleList = titleList | |
| 2124 |
|
2121 | |||
| 2125 | self.FTP_WEI = ftp_wei |
|
2122 | self.FTP_WEI = ftp_wei | |
| 2126 | self.EXP_CODE = exp_code |
|
2123 | self.EXP_CODE = exp_code | |
| 2127 | self.SUB_EXP_CODE = sub_exp_code |
|
2124 | self.SUB_EXP_CODE = sub_exp_code | |
| 2128 | self.PLOT_POS = plot_pos |
|
2125 | self.PLOT_POS = plot_pos | |
| 2129 |
|
2126 | |||
| 2130 | self.isConfig = True |
|
2127 | self.isConfig = True | |
| 2131 |
|
2128 | |||
| 2132 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
2129 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 2133 |
|
2130 | |||
| 2134 | for i in range(self.nplots): |
|
2131 | for i in range(self.nplots): | |
| 2135 | title = self.titleList[i] + ": " +str_datetime |
|
2132 | title = self.titleList[i] + ": " +str_datetime | |
| 2136 | axes = self.axesList[i] |
|
2133 | axes = self.axesList[i] | |
| 2137 | axes.pcolor(x, y, z[i,:].T, |
|
2134 | axes.pcolor(x, y, z[i,:].T, | |
| 2138 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
2135 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], | |
| 2139 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
2136 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') | |
| 2140 | self.draw() |
|
2137 | self.draw() | |
| 2141 |
|
2138 | |||
| 2142 | if figfile == None: |
|
2139 | if figfile == None: | |
| 2143 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
2140 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 2144 | name = str_datetime |
|
2141 | name = str_datetime | |
| 2145 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
2142 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 2146 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
2143 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
| 2147 | figfile = self.getFilename(name) |
|
2144 | figfile = self.getFilename(name) | |
| 2148 |
|
2145 | |||
| 2149 | self.save(figpath=figpath, |
|
2146 | self.save(figpath=figpath, | |
| 2150 | figfile=figfile, |
|
2147 | figfile=figfile, | |
| 2151 | save=save, |
|
2148 | save=save, | |
| 2152 | ftp=ftp, |
|
2149 | ftp=ftp, | |
| 2153 | wr_period=wr_period, |
|
2150 | wr_period=wr_period, | |
| 2154 | thisDatetime=thisDatetime) |
|
2151 | thisDatetime=thisDatetime) | |
| @@ -1,481 +1,481 | |||||
| 1 | import numpy |
|
1 | import numpy | |
| 2 | import datetime |
|
2 | import datetime | |
| 3 | import sys |
|
3 | import sys | |
| 4 | import matplotlib |
|
4 | import matplotlib | |
| 5 |
|
5 | |||
| 6 | if 'linux' in sys.platform: |
|
6 | if 'linux' in sys.platform: | |
| 7 | matplotlib.use("TKAgg") |
|
7 | matplotlib.use("GTK3Agg") | |
| 8 |
|
8 | |||
| 9 | if 'darwin' in sys.platform: |
|
9 | if 'darwin' in sys.platform: | |
| 10 | matplotlib.use('TKAgg') |
|
10 | matplotlib.use('TKAgg') | |
| 11 | #Qt4Agg', 'GTK', 'GTKAgg', 'ps', 'agg', 'cairo', 'MacOSX', 'GTKCairo', 'WXAgg', 'template', 'TkAgg', 'GTK3Cairo', 'GTK3Agg', 'svg', 'WebAgg', 'CocoaAgg', 'emf', 'gdk', 'WX' |
|
11 | #Qt4Agg', 'GTK', 'GTKAgg', 'ps', 'agg', 'cairo', 'MacOSX', 'GTKCairo', 'WXAgg', 'template', 'TkAgg', 'GTK3Cairo', 'GTK3Agg', 'svg', 'WebAgg', 'CocoaAgg', 'emf', 'gdk', 'WX' | |
| 12 | import matplotlib.pyplot |
|
12 | import matplotlib.pyplot | |
| 13 |
|
13 | |||
| 14 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
14 | from mpl_toolkits.axes_grid1 import make_axes_locatable | |
| 15 | from matplotlib.ticker import FuncFormatter, LinearLocator |
|
15 | from matplotlib.ticker import FuncFormatter, LinearLocator | |
| 16 |
|
16 | |||
| 17 | ########################################### |
|
17 | ########################################### | |
| 18 | #Actualizacion de las funciones del driver |
|
18 | #Actualizacion de las funciones del driver | |
| 19 | ########################################### |
|
19 | ########################################### | |
| 20 |
|
20 | |||
| 21 | # create jro colormap |
|
21 | # create jro colormap | |
| 22 |
|
22 | |||
| 23 | jet_values = matplotlib.pyplot.get_cmap("jet", 100)(numpy.arange(100))[10:90] |
|
23 | jet_values = matplotlib.pyplot.get_cmap("jet", 100)(numpy.arange(100))[10:90] | |
| 24 | blu_values = matplotlib.pyplot.get_cmap("seismic_r", 20)(numpy.arange(20))[10:15] |
|
24 | blu_values = matplotlib.pyplot.get_cmap("seismic_r", 20)(numpy.arange(20))[10:15] | |
| 25 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list("jro", numpy.vstack((blu_values, jet_values))) |
|
25 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list("jro", numpy.vstack((blu_values, jet_values))) | |
| 26 | matplotlib.pyplot.register_cmap(cmap=ncmap) |
|
26 | matplotlib.pyplot.register_cmap(cmap=ncmap) | |
| 27 |
|
27 | |||
| 28 | def createFigure(id, wintitle, width, height, facecolor="w", show=True, dpi = 80): |
|
28 | def createFigure(id, wintitle, width, height, facecolor="w", show=True, dpi = 80): | |
| 29 |
|
29 | |||
| 30 | matplotlib.pyplot.ioff() |
|
30 | matplotlib.pyplot.ioff() | |
| 31 |
|
31 | |||
| 32 | fig = matplotlib.pyplot.figure(num=id, facecolor=facecolor, figsize=(1.0*width/dpi, 1.0*height/dpi)) |
|
32 | fig = matplotlib.pyplot.figure(num=id, facecolor=facecolor, figsize=(1.0*width/dpi, 1.0*height/dpi)) | |
| 33 | fig.canvas.manager.set_window_title(wintitle) |
|
33 | fig.canvas.manager.set_window_title(wintitle) | |
| 34 | # fig.canvas.manager.resize(width, height) |
|
34 | # fig.canvas.manager.resize(width, height) | |
| 35 | matplotlib.pyplot.ion() |
|
35 | matplotlib.pyplot.ion() | |
| 36 |
|
36 | |||
| 37 | if show: |
|
37 | if show: | |
| 38 | matplotlib.pyplot.show() |
|
38 | matplotlib.pyplot.show() | |
| 39 |
|
39 | |||
| 40 | return fig |
|
40 | return fig | |
| 41 |
|
41 | |||
| 42 | def closeFigure(show=False, fig=None): |
|
42 | def closeFigure(show=False, fig=None): | |
| 43 |
|
43 | |||
| 44 | # matplotlib.pyplot.ioff() |
|
44 | # matplotlib.pyplot.ioff() | |
| 45 | # matplotlib.pyplot.pause(0) |
|
45 | # matplotlib.pyplot.pause(0) | |
| 46 |
|
46 | |||
| 47 | if show: |
|
47 | if show: | |
| 48 | matplotlib.pyplot.show() |
|
48 | matplotlib.pyplot.show() | |
| 49 |
|
49 | |||
| 50 | if fig != None: |
|
50 | if fig != None: | |
| 51 | matplotlib.pyplot.close(fig) |
|
51 | matplotlib.pyplot.close(fig) | |
| 52 | # matplotlib.pyplot.pause(0) |
|
52 | # matplotlib.pyplot.pause(0) | |
| 53 | # matplotlib.pyplot.ion() |
|
53 | # matplotlib.pyplot.ion() | |
| 54 |
|
54 | |||
| 55 | return |
|
55 | return | |
| 56 |
|
56 | |||
| 57 | matplotlib.pyplot.close("all") |
|
57 | matplotlib.pyplot.close("all") | |
| 58 | # matplotlib.pyplot.pause(0) |
|
58 | # matplotlib.pyplot.pause(0) | |
| 59 | # matplotlib.pyplot.ion() |
|
59 | # matplotlib.pyplot.ion() | |
| 60 |
|
60 | |||
| 61 | return |
|
61 | return | |
| 62 |
|
62 | |||
| 63 | def saveFigure(fig, filename): |
|
63 | def saveFigure(fig, filename): | |
| 64 |
|
64 | |||
| 65 | # matplotlib.pyplot.ioff() |
|
65 | # matplotlib.pyplot.ioff() | |
| 66 | fig.savefig(filename, dpi=matplotlib.pyplot.gcf().dpi) |
|
66 | fig.savefig(filename, dpi=matplotlib.pyplot.gcf().dpi) | |
| 67 | # matplotlib.pyplot.ion() |
|
67 | # matplotlib.pyplot.ion() | |
| 68 |
|
68 | |||
| 69 | def clearFigure(fig): |
|
69 | def clearFigure(fig): | |
| 70 |
|
70 | |||
| 71 | fig.clf() |
|
71 | fig.clf() | |
| 72 |
|
72 | |||
| 73 | def setWinTitle(fig, title): |
|
73 | def setWinTitle(fig, title): | |
| 74 |
|
74 | |||
| 75 | fig.canvas.manager.set_window_title(title) |
|
75 | fig.canvas.manager.set_window_title(title) | |
| 76 |
|
76 | |||
| 77 | def setTitle(fig, title): |
|
77 | def setTitle(fig, title): | |
| 78 |
|
78 | |||
| 79 | fig.suptitle(title) |
|
79 | fig.suptitle(title) | |
| 80 |
|
80 | |||
| 81 | def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan, polar=False): |
|
81 | def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan, polar=False): | |
| 82 |
|
82 | |||
| 83 | matplotlib.pyplot.ioff() |
|
83 | matplotlib.pyplot.ioff() | |
| 84 | matplotlib.pyplot.figure(fig.number) |
|
84 | matplotlib.pyplot.figure(fig.number) | |
| 85 | axes = matplotlib.pyplot.subplot2grid((nrow, ncol), |
|
85 | axes = matplotlib.pyplot.subplot2grid((nrow, ncol), | |
| 86 | (xpos, ypos), |
|
86 | (xpos, ypos), | |
| 87 | colspan=colspan, |
|
87 | colspan=colspan, | |
| 88 | rowspan=rowspan, |
|
88 | rowspan=rowspan, | |
| 89 | polar=polar) |
|
89 | polar=polar) | |
| 90 |
|
90 | |||
| 91 | axes.grid(True) |
|
91 | axes.grid(True) | |
| 92 |
|
92 | |||
| 93 | matplotlib.pyplot.ion() |
|
93 | matplotlib.pyplot.ion() | |
| 94 | return axes |
|
94 | return axes | |
| 95 |
|
95 | |||
| 96 | def setAxesText(ax, text): |
|
96 | def setAxesText(ax, text): | |
| 97 |
|
97 | |||
| 98 | ax.annotate(text, |
|
98 | ax.annotate(text, | |
| 99 | xy = (.1, .99), |
|
99 | xy = (.1, .99), | |
| 100 | xycoords = 'figure fraction', |
|
100 | xycoords = 'figure fraction', | |
| 101 | horizontalalignment = 'left', |
|
101 | horizontalalignment = 'left', | |
| 102 | verticalalignment = 'top', |
|
102 | verticalalignment = 'top', | |
| 103 | fontsize = 10) |
|
103 | fontsize = 10) | |
| 104 |
|
104 | |||
| 105 | def printLabels(ax, xlabel, ylabel, title): |
|
105 | def printLabels(ax, xlabel, ylabel, title): | |
| 106 |
|
106 | |||
| 107 | ax.set_xlabel(xlabel, size=11) |
|
107 | ax.set_xlabel(xlabel, size=11) | |
| 108 | ax.set_ylabel(ylabel, size=11) |
|
108 | ax.set_ylabel(ylabel, size=11) | |
| 109 | ax.set_title(title, size=8) |
|
109 | ax.set_title(title, size=8) | |
| 110 |
|
110 | |||
| 111 | def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', |
|
111 | def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', | |
| 112 | ticksize=9, xtick_visible=True, ytick_visible=True, |
|
112 | ticksize=9, xtick_visible=True, ytick_visible=True, | |
| 113 | nxticks=4, nyticks=10, |
|
113 | nxticks=4, nyticks=10, | |
| 114 | grid=None,color='blue'): |
|
114 | grid=None,color='blue'): | |
| 115 |
|
115 | |||
| 116 | """ |
|
116 | """ | |
| 117 |
|
117 | |||
| 118 | Input: |
|
118 | Input: | |
| 119 | grid : None, 'both', 'x', 'y' |
|
119 | grid : None, 'both', 'x', 'y' | |
| 120 | """ |
|
120 | """ | |
| 121 |
|
121 | |||
| 122 | matplotlib.pyplot.ioff() |
|
122 | matplotlib.pyplot.ioff() | |
| 123 |
|
123 | |||
| 124 | ax.set_xlim([xmin,xmax]) |
|
124 | ax.set_xlim([xmin,xmax]) | |
| 125 | ax.set_ylim([ymin,ymax]) |
|
125 | ax.set_ylim([ymin,ymax]) | |
| 126 |
|
126 | |||
| 127 | printLabels(ax, xlabel, ylabel, title) |
|
127 | printLabels(ax, xlabel, ylabel, title) | |
| 128 |
|
128 | |||
| 129 | ###################################################### |
|
129 | ###################################################### | |
| 130 | if (xmax-xmin)<=1: |
|
130 | if (xmax-xmin)<=1: | |
| 131 | xtickspos = numpy.linspace(xmin,xmax,nxticks) |
|
131 | xtickspos = numpy.linspace(xmin,xmax,nxticks) | |
| 132 | xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos]) |
|
132 | xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos]) | |
| 133 | ax.set_xticks(xtickspos) |
|
133 | ax.set_xticks(xtickspos) | |
| 134 | else: |
|
134 | else: | |
| 135 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) |
|
135 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) | |
| 136 | # xtickspos = numpy.arange(nxticks)*float(xmax-xmin)/float(nxticks) + int(xmin) |
|
136 | # xtickspos = numpy.arange(nxticks)*float(xmax-xmin)/float(nxticks) + int(xmin) | |
| 137 | ax.set_xticks(xtickspos) |
|
137 | ax.set_xticks(xtickspos) | |
| 138 |
|
138 | |||
| 139 | for tick in ax.get_xticklabels(): |
|
139 | for tick in ax.get_xticklabels(): | |
| 140 | tick.set_visible(xtick_visible) |
|
140 | tick.set_visible(xtick_visible) | |
| 141 |
|
141 | |||
| 142 | for tick in ax.xaxis.get_major_ticks(): |
|
142 | for tick in ax.xaxis.get_major_ticks(): | |
| 143 | tick.label.set_fontsize(ticksize) |
|
143 | tick.label.set_fontsize(ticksize) | |
| 144 |
|
144 | |||
| 145 | ###################################################### |
|
145 | ###################################################### | |
| 146 | for tick in ax.get_yticklabels(): |
|
146 | for tick in ax.get_yticklabels(): | |
| 147 | tick.set_visible(ytick_visible) |
|
147 | tick.set_visible(ytick_visible) | |
| 148 |
|
148 | |||
| 149 | for tick in ax.yaxis.get_major_ticks(): |
|
149 | for tick in ax.yaxis.get_major_ticks(): | |
| 150 | tick.label.set_fontsize(ticksize) |
|
150 | tick.label.set_fontsize(ticksize) | |
| 151 |
|
151 | |||
| 152 | ax.plot(x, y, color=color) |
|
152 | ax.plot(x, y, color=color) | |
| 153 | iplot = ax.lines[-1] |
|
153 | iplot = ax.lines[-1] | |
| 154 |
|
154 | |||
| 155 | ###################################################### |
|
155 | ###################################################### | |
| 156 | if '0.' in matplotlib.__version__[0:2]: |
|
156 | if '0.' in matplotlib.__version__[0:2]: | |
| 157 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
157 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 158 | return iplot |
|
158 | return iplot | |
| 159 |
|
159 | |||
| 160 | if '1.0.' in matplotlib.__version__[0:4]: |
|
160 | if '1.0.' in matplotlib.__version__[0:4]: | |
| 161 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
161 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 162 | return iplot |
|
162 | return iplot | |
| 163 |
|
163 | |||
| 164 | if grid != None: |
|
164 | if grid != None: | |
| 165 | ax.grid(b=True, which='major', axis=grid) |
|
165 | ax.grid(b=True, which='major', axis=grid) | |
| 166 |
|
166 | |||
| 167 | matplotlib.pyplot.tight_layout() |
|
167 | matplotlib.pyplot.tight_layout() | |
| 168 |
|
168 | |||
| 169 | matplotlib.pyplot.ion() |
|
169 | matplotlib.pyplot.ion() | |
| 170 |
|
170 | |||
| 171 | return iplot |
|
171 | return iplot | |
| 172 |
|
172 | |||
| 173 | def set_linedata(ax, x, y, idline): |
|
173 | def set_linedata(ax, x, y, idline): | |
| 174 |
|
174 | |||
| 175 | ax.lines[idline].set_data(x,y) |
|
175 | ax.lines[idline].set_data(x,y) | |
| 176 |
|
176 | |||
| 177 | def pline(iplot, x, y, xlabel='', ylabel='', title=''): |
|
177 | def pline(iplot, x, y, xlabel='', ylabel='', title=''): | |
| 178 |
|
178 | |||
| 179 | ax = iplot.get_axes() |
|
179 | ax = iplot.get_axes() | |
| 180 |
|
180 | |||
| 181 | printLabels(ax, xlabel, ylabel, title) |
|
181 | printLabels(ax, xlabel, ylabel, title) | |
| 182 |
|
182 | |||
| 183 | set_linedata(ax, x, y, idline=0) |
|
183 | set_linedata(ax, x, y, idline=0) | |
| 184 |
|
184 | |||
| 185 | def addpline(ax, x, y, color, linestyle, lw): |
|
185 | def addpline(ax, x, y, color, linestyle, lw): | |
| 186 |
|
186 | |||
| 187 | ax.plot(x,y,color=color,linestyle=linestyle,lw=lw) |
|
187 | ax.plot(x,y,color=color,linestyle=linestyle,lw=lw) | |
| 188 |
|
188 | |||
| 189 |
|
189 | |||
| 190 | def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax, |
|
190 | def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax, | |
| 191 | xlabel='', ylabel='', title='', ticksize = 9, |
|
191 | xlabel='', ylabel='', title='', ticksize = 9, | |
| 192 | colormap='jet',cblabel='', cbsize="5%", |
|
192 | colormap='jet',cblabel='', cbsize="5%", | |
| 193 | XAxisAsTime=False): |
|
193 | XAxisAsTime=False): | |
| 194 |
|
194 | |||
| 195 | matplotlib.pyplot.ioff() |
|
195 | matplotlib.pyplot.ioff() | |
| 196 |
|
196 | |||
| 197 | divider = make_axes_locatable(ax) |
|
197 | divider = make_axes_locatable(ax) | |
| 198 | ax_cb = divider.new_horizontal(size=cbsize, pad=0.05) |
|
198 | ax_cb = divider.new_horizontal(size=cbsize, pad=0.05) | |
| 199 | fig = ax.get_figure() |
|
199 | fig = ax.get_figure() | |
| 200 | fig.add_axes(ax_cb) |
|
200 | fig.add_axes(ax_cb) | |
| 201 |
|
201 | |||
| 202 | ax.set_xlim([xmin,xmax]) |
|
202 | ax.set_xlim([xmin,xmax]) | |
| 203 | ax.set_ylim([ymin,ymax]) |
|
203 | ax.set_ylim([ymin,ymax]) | |
| 204 |
|
204 | |||
| 205 | printLabels(ax, xlabel, ylabel, title) |
|
205 | printLabels(ax, xlabel, ylabel, title) | |
| 206 |
|
206 | |||
| 207 | z = numpy.ma.masked_invalid(z) |
|
207 | z = numpy.ma.masked_invalid(z) | |
| 208 | cmap=matplotlib.pyplot.get_cmap(colormap) |
|
208 | cmap=matplotlib.pyplot.get_cmap(colormap) | |
| 209 | cmap.set_bad('white',1.) |
|
209 | cmap.set_bad('white',1.) | |
| 210 | imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=cmap) |
|
210 | imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=cmap) | |
| 211 | cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb) |
|
211 | cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb) | |
| 212 | cb.set_label(cblabel) |
|
212 | cb.set_label(cblabel) | |
| 213 |
|
213 | |||
| 214 | # for tl in ax_cb.get_yticklabels(): |
|
214 | # for tl in ax_cb.get_yticklabels(): | |
| 215 | # tl.set_visible(True) |
|
215 | # tl.set_visible(True) | |
| 216 |
|
216 | |||
| 217 | for tick in ax.yaxis.get_major_ticks(): |
|
217 | for tick in ax.yaxis.get_major_ticks(): | |
| 218 | tick.label.set_fontsize(ticksize) |
|
218 | tick.label.set_fontsize(ticksize) | |
| 219 |
|
219 | |||
| 220 | for tick in ax.xaxis.get_major_ticks(): |
|
220 | for tick in ax.xaxis.get_major_ticks(): | |
| 221 | tick.label.set_fontsize(ticksize) |
|
221 | tick.label.set_fontsize(ticksize) | |
| 222 |
|
222 | |||
| 223 | for tick in cb.ax.get_yticklabels(): |
|
223 | for tick in cb.ax.get_yticklabels(): | |
| 224 | tick.set_fontsize(ticksize) |
|
224 | tick.set_fontsize(ticksize) | |
| 225 |
|
225 | |||
| 226 | ax_cb.yaxis.tick_right() |
|
226 | ax_cb.yaxis.tick_right() | |
| 227 |
|
227 | |||
| 228 | if '0.' in matplotlib.__version__[0:2]: |
|
228 | if '0.' in matplotlib.__version__[0:2]: | |
| 229 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
229 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 230 | return imesh |
|
230 | return imesh | |
| 231 |
|
231 | |||
| 232 | if '1.0.' in matplotlib.__version__[0:4]: |
|
232 | if '1.0.' in matplotlib.__version__[0:4]: | |
| 233 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
233 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 234 | return imesh |
|
234 | return imesh | |
| 235 |
|
235 | |||
| 236 | matplotlib.pyplot.tight_layout() |
|
236 | matplotlib.pyplot.tight_layout() | |
| 237 |
|
237 | |||
| 238 | if XAxisAsTime: |
|
238 | if XAxisAsTime: | |
| 239 |
|
239 | |||
| 240 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S")) |
|
240 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S")) | |
| 241 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
241 | ax.xaxis.set_major_formatter(FuncFormatter(func)) | |
| 242 | ax.xaxis.set_major_locator(LinearLocator(7)) |
|
242 | ax.xaxis.set_major_locator(LinearLocator(7)) | |
| 243 |
|
243 | |||
| 244 | ax.grid(True) |
|
244 | ax.grid(True) | |
| 245 | matplotlib.pyplot.ion() |
|
245 | matplotlib.pyplot.ion() | |
| 246 | return imesh |
|
246 | return imesh | |
| 247 |
|
247 | |||
| 248 | def pcolor(imesh, z, xlabel='', ylabel='', title=''): |
|
248 | def pcolor(imesh, z, xlabel='', ylabel='', title=''): | |
| 249 |
|
249 | |||
| 250 | z = numpy.ma.masked_invalid(z) |
|
250 | z = numpy.ma.masked_invalid(z) | |
| 251 |
|
251 | |||
| 252 | cmap=matplotlib.pyplot.get_cmap('jet') |
|
252 | cmap=matplotlib.pyplot.get_cmap('jet') | |
| 253 | cmap.set_bad('white',1.) |
|
253 | cmap.set_bad('white',1.) | |
| 254 |
|
254 | |||
| 255 | z = z.T |
|
255 | z = z.T | |
| 256 | ax = imesh.get_axes() |
|
256 | ax = imesh.get_axes() | |
| 257 | printLabels(ax, xlabel, ylabel, title) |
|
257 | printLabels(ax, xlabel, ylabel, title) | |
| 258 | imesh.set_array(z.ravel()) |
|
258 | imesh.set_array(z.ravel()) | |
| 259 | ax.grid(True) |
|
259 | ax.grid(True) | |
| 260 |
|
260 | |||
| 261 |
|
261 | |||
| 262 | def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'): |
|
262 | def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'): | |
| 263 |
|
263 | |||
| 264 | printLabels(ax, xlabel, ylabel, title) |
|
264 | printLabels(ax, xlabel, ylabel, title) | |
| 265 | z = numpy.ma.masked_invalid(z) |
|
265 | z = numpy.ma.masked_invalid(z) | |
| 266 | cmap=matplotlib.pyplot.get_cmap(colormap) |
|
266 | cmap=matplotlib.pyplot.get_cmap(colormap) | |
| 267 | cmap.set_bad('white',1.) |
|
267 | cmap.set_bad('white',1.) | |
| 268 | ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap)) |
|
268 | ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap)) | |
| 269 | ax.grid(True) |
|
269 | ax.grid(True) | |
| 270 |
|
270 | |||
| 271 | def addpcolorbuffer(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'): |
|
271 | def addpcolorbuffer(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'): | |
| 272 |
|
272 | |||
| 273 | printLabels(ax, xlabel, ylabel, title) |
|
273 | printLabels(ax, xlabel, ylabel, title) | |
| 274 |
|
274 | |||
| 275 | ax.collections.remove(ax.collections[0]) |
|
275 | ax.collections.remove(ax.collections[0]) | |
| 276 |
|
276 | |||
| 277 | z = numpy.ma.masked_invalid(z) |
|
277 | z = numpy.ma.masked_invalid(z) | |
| 278 |
|
278 | |||
| 279 | cmap=matplotlib.pyplot.get_cmap(colormap) |
|
279 | cmap=matplotlib.pyplot.get_cmap(colormap) | |
| 280 | cmap.set_bad('white',1.) |
|
280 | cmap.set_bad('white',1.) | |
| 281 |
|
281 | |||
| 282 | ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=cmap) |
|
282 | ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=cmap) | |
| 283 | ax.grid(True) |
|
283 | ax.grid(True) | |
| 284 |
|
284 | |||
| 285 |
|
285 | |||
| 286 | def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None, |
|
286 | def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None, | |
| 287 | ticksize=9, xtick_visible=True, ytick_visible=True, |
|
287 | ticksize=9, xtick_visible=True, ytick_visible=True, | |
| 288 | nxticks=4, nyticks=10, |
|
288 | nxticks=4, nyticks=10, | |
| 289 | grid=None): |
|
289 | grid=None): | |
| 290 |
|
290 | |||
| 291 | """ |
|
291 | """ | |
| 292 |
|
292 | |||
| 293 | Input: |
|
293 | Input: | |
| 294 | grid : None, 'both', 'x', 'y' |
|
294 | grid : None, 'both', 'x', 'y' | |
| 295 | """ |
|
295 | """ | |
| 296 |
|
296 | |||
| 297 | matplotlib.pyplot.ioff() |
|
297 | matplotlib.pyplot.ioff() | |
| 298 |
|
298 | |||
| 299 | lines = ax.plot(x.T, y) |
|
299 | lines = ax.plot(x.T, y) | |
| 300 | leg = ax.legend(lines, legendlabels, loc='upper right') |
|
300 | leg = ax.legend(lines, legendlabels, loc='upper right') | |
| 301 | leg.get_frame().set_alpha(0.5) |
|
301 | leg.get_frame().set_alpha(0.5) | |
| 302 | ax.set_xlim([xmin,xmax]) |
|
302 | ax.set_xlim([xmin,xmax]) | |
| 303 | ax.set_ylim([ymin,ymax]) |
|
303 | ax.set_ylim([ymin,ymax]) | |
| 304 | printLabels(ax, xlabel, ylabel, title) |
|
304 | printLabels(ax, xlabel, ylabel, title) | |
| 305 |
|
305 | |||
| 306 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) |
|
306 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) | |
| 307 | ax.set_xticks(xtickspos) |
|
307 | ax.set_xticks(xtickspos) | |
| 308 |
|
308 | |||
| 309 | for tick in ax.get_xticklabels(): |
|
309 | for tick in ax.get_xticklabels(): | |
| 310 | tick.set_visible(xtick_visible) |
|
310 | tick.set_visible(xtick_visible) | |
| 311 |
|
311 | |||
| 312 | for tick in ax.xaxis.get_major_ticks(): |
|
312 | for tick in ax.xaxis.get_major_ticks(): | |
| 313 | tick.label.set_fontsize(ticksize) |
|
313 | tick.label.set_fontsize(ticksize) | |
| 314 |
|
314 | |||
| 315 | for tick in ax.get_yticklabels(): |
|
315 | for tick in ax.get_yticklabels(): | |
| 316 | tick.set_visible(ytick_visible) |
|
316 | tick.set_visible(ytick_visible) | |
| 317 |
|
317 | |||
| 318 | for tick in ax.yaxis.get_major_ticks(): |
|
318 | for tick in ax.yaxis.get_major_ticks(): | |
| 319 | tick.label.set_fontsize(ticksize) |
|
319 | tick.label.set_fontsize(ticksize) | |
| 320 |
|
320 | |||
| 321 | iplot = ax.lines[-1] |
|
321 | iplot = ax.lines[-1] | |
| 322 |
|
322 | |||
| 323 | if '0.' in matplotlib.__version__[0:2]: |
|
323 | if '0.' in matplotlib.__version__[0:2]: | |
| 324 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
324 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 325 | return iplot |
|
325 | return iplot | |
| 326 |
|
326 | |||
| 327 | if '1.0.' in matplotlib.__version__[0:4]: |
|
327 | if '1.0.' in matplotlib.__version__[0:4]: | |
| 328 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
328 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 329 | return iplot |
|
329 | return iplot | |
| 330 |
|
330 | |||
| 331 | if grid != None: |
|
331 | if grid != None: | |
| 332 | ax.grid(b=True, which='major', axis=grid) |
|
332 | ax.grid(b=True, which='major', axis=grid) | |
| 333 |
|
333 | |||
| 334 | matplotlib.pyplot.tight_layout() |
|
334 | matplotlib.pyplot.tight_layout() | |
| 335 |
|
335 | |||
| 336 | matplotlib.pyplot.ion() |
|
336 | matplotlib.pyplot.ion() | |
| 337 |
|
337 | |||
| 338 | return iplot |
|
338 | return iplot | |
| 339 |
|
339 | |||
| 340 |
|
340 | |||
| 341 | def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''): |
|
341 | def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''): | |
| 342 |
|
342 | |||
| 343 | ax = iplot.get_axes() |
|
343 | ax = iplot.get_axes() | |
| 344 |
|
344 | |||
| 345 | printLabels(ax, xlabel, ylabel, title) |
|
345 | printLabels(ax, xlabel, ylabel, title) | |
| 346 |
|
346 | |||
| 347 | for i in range(len(ax.lines)): |
|
347 | for i in range(len(ax.lines)): | |
| 348 | line = ax.lines[i] |
|
348 | line = ax.lines[i] | |
| 349 | line.set_data(x[i,:],y) |
|
349 | line.set_data(x[i,:],y) | |
| 350 |
|
350 | |||
| 351 | def createPmultilineYAxis(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None, |
|
351 | def createPmultilineYAxis(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None, | |
| 352 | ticksize=9, xtick_visible=True, ytick_visible=True, |
|
352 | ticksize=9, xtick_visible=True, ytick_visible=True, | |
| 353 | nxticks=4, nyticks=10, marker='.', markersize=10, linestyle="None", |
|
353 | nxticks=4, nyticks=10, marker='.', markersize=10, linestyle="None", | |
| 354 | grid=None, XAxisAsTime=False): |
|
354 | grid=None, XAxisAsTime=False): | |
| 355 |
|
355 | |||
| 356 | """ |
|
356 | """ | |
| 357 |
|
357 | |||
| 358 | Input: |
|
358 | Input: | |
| 359 | grid : None, 'both', 'x', 'y' |
|
359 | grid : None, 'both', 'x', 'y' | |
| 360 | """ |
|
360 | """ | |
| 361 |
|
361 | |||
| 362 | matplotlib.pyplot.ioff() |
|
362 | matplotlib.pyplot.ioff() | |
| 363 |
|
363 | |||
| 364 | # lines = ax.plot(x, y.T, marker=marker,markersize=markersize,linestyle=linestyle) |
|
364 | # lines = ax.plot(x, y.T, marker=marker,markersize=markersize,linestyle=linestyle) | |
| 365 | lines = ax.plot(x, y.T) |
|
365 | lines = ax.plot(x, y.T) | |
| 366 | # leg = ax.legend(lines, legendlabels, loc=2, bbox_to_anchor=(1.01, 1.00), numpoints=1, handlelength=1.5, \ |
|
366 | # leg = ax.legend(lines, legendlabels, loc=2, bbox_to_anchor=(1.01, 1.00), numpoints=1, handlelength=1.5, \ | |
| 367 | # handletextpad=0.5, borderpad=0.5, labelspacing=0.5, borderaxespad=0.) |
|
367 | # handletextpad=0.5, borderpad=0.5, labelspacing=0.5, borderaxespad=0.) | |
| 368 |
|
368 | |||
| 369 | leg = ax.legend(lines, legendlabels, |
|
369 | leg = ax.legend(lines, legendlabels, | |
| 370 | loc='upper right', bbox_to_anchor=(1.16, 1), borderaxespad=0) |
|
370 | loc='upper right', bbox_to_anchor=(1.16, 1), borderaxespad=0) | |
| 371 |
|
371 | |||
| 372 | for label in leg.get_texts(): label.set_fontsize(9) |
|
372 | for label in leg.get_texts(): label.set_fontsize(9) | |
| 373 |
|
373 | |||
| 374 | ax.set_xlim([xmin,xmax]) |
|
374 | ax.set_xlim([xmin,xmax]) | |
| 375 | ax.set_ylim([ymin,ymax]) |
|
375 | ax.set_ylim([ymin,ymax]) | |
| 376 | printLabels(ax, xlabel, ylabel, title) |
|
376 | printLabels(ax, xlabel, ylabel, title) | |
| 377 |
|
377 | |||
| 378 | # xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) |
|
378 | # xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) | |
| 379 | # ax.set_xticks(xtickspos) |
|
379 | # ax.set_xticks(xtickspos) | |
| 380 |
|
380 | |||
| 381 | for tick in ax.get_xticklabels(): |
|
381 | for tick in ax.get_xticklabels(): | |
| 382 | tick.set_visible(xtick_visible) |
|
382 | tick.set_visible(xtick_visible) | |
| 383 |
|
383 | |||
| 384 | for tick in ax.xaxis.get_major_ticks(): |
|
384 | for tick in ax.xaxis.get_major_ticks(): | |
| 385 | tick.label.set_fontsize(ticksize) |
|
385 | tick.label.set_fontsize(ticksize) | |
| 386 |
|
386 | |||
| 387 | for tick in ax.get_yticklabels(): |
|
387 | for tick in ax.get_yticklabels(): | |
| 388 | tick.set_visible(ytick_visible) |
|
388 | tick.set_visible(ytick_visible) | |
| 389 |
|
389 | |||
| 390 | for tick in ax.yaxis.get_major_ticks(): |
|
390 | for tick in ax.yaxis.get_major_ticks(): | |
| 391 | tick.label.set_fontsize(ticksize) |
|
391 | tick.label.set_fontsize(ticksize) | |
| 392 |
|
392 | |||
| 393 | iplot = ax.lines[-1] |
|
393 | iplot = ax.lines[-1] | |
| 394 |
|
394 | |||
| 395 | if '0.' in matplotlib.__version__[0:2]: |
|
395 | if '0.' in matplotlib.__version__[0:2]: | |
| 396 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
396 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 397 | return iplot |
|
397 | return iplot | |
| 398 |
|
398 | |||
| 399 | if '1.0.' in matplotlib.__version__[0:4]: |
|
399 | if '1.0.' in matplotlib.__version__[0:4]: | |
| 400 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
400 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 401 | return iplot |
|
401 | return iplot | |
| 402 |
|
402 | |||
| 403 | if grid != None: |
|
403 | if grid != None: | |
| 404 | ax.grid(b=True, which='major', axis=grid) |
|
404 | ax.grid(b=True, which='major', axis=grid) | |
| 405 |
|
405 | |||
| 406 | matplotlib.pyplot.tight_layout() |
|
406 | matplotlib.pyplot.tight_layout() | |
| 407 |
|
407 | |||
| 408 | if XAxisAsTime: |
|
408 | if XAxisAsTime: | |
| 409 |
|
409 | |||
| 410 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S")) |
|
410 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S")) | |
| 411 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
411 | ax.xaxis.set_major_formatter(FuncFormatter(func)) | |
| 412 | ax.xaxis.set_major_locator(LinearLocator(7)) |
|
412 | ax.xaxis.set_major_locator(LinearLocator(7)) | |
| 413 |
|
413 | |||
| 414 | matplotlib.pyplot.ion() |
|
414 | matplotlib.pyplot.ion() | |
| 415 |
|
415 | |||
| 416 | return iplot |
|
416 | return iplot | |
| 417 |
|
417 | |||
| 418 | def pmultilineyaxis(iplot, x, y, xlabel='', ylabel='', title=''): |
|
418 | def pmultilineyaxis(iplot, x, y, xlabel='', ylabel='', title=''): | |
| 419 |
|
419 | |||
| 420 | ax = iplot.get_axes() |
|
420 | ax = iplot.get_axes() | |
| 421 | printLabels(ax, xlabel, ylabel, title) |
|
421 | printLabels(ax, xlabel, ylabel, title) | |
| 422 |
|
422 | |||
| 423 | for i in range(len(ax.lines)): |
|
423 | for i in range(len(ax.lines)): | |
| 424 | line = ax.lines[i] |
|
424 | line = ax.lines[i] | |
| 425 | line.set_data(x,y[i,:]) |
|
425 | line.set_data(x,y[i,:]) | |
| 426 |
|
426 | |||
| 427 | def createPolar(ax, x, y, |
|
427 | def createPolar(ax, x, y, | |
| 428 | xlabel='', ylabel='', title='', ticksize = 9, |
|
428 | xlabel='', ylabel='', title='', ticksize = 9, | |
| 429 | colormap='jet',cblabel='', cbsize="5%", |
|
429 | colormap='jet',cblabel='', cbsize="5%", | |
| 430 | XAxisAsTime=False): |
|
430 | XAxisAsTime=False): | |
| 431 |
|
431 | |||
| 432 | matplotlib.pyplot.ioff() |
|
432 | matplotlib.pyplot.ioff() | |
| 433 |
|
433 | |||
| 434 | ax.plot(x,y,'bo', markersize=5) |
|
434 | ax.plot(x,y,'bo', markersize=5) | |
| 435 | # ax.set_rmax(90) |
|
435 | # ax.set_rmax(90) | |
| 436 | ax.set_ylim(0,90) |
|
436 | ax.set_ylim(0,90) | |
| 437 | ax.set_yticks(numpy.arange(0,90,20)) |
|
437 | ax.set_yticks(numpy.arange(0,90,20)) | |
| 438 | # ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center' ,size='11') |
|
438 | # ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center' ,size='11') | |
| 439 | # ax.text(0, 50, ylabel, rotation='vertical', va ='center', ha = 'left' ,size='11') |
|
439 | # ax.text(0, 50, ylabel, rotation='vertical', va ='center', ha = 'left' ,size='11') | |
| 440 | # ax.text(100, 100, 'example', ha='left', va='center', rotation='vertical') |
|
440 | # ax.text(100, 100, 'example', ha='left', va='center', rotation='vertical') | |
| 441 | ax.yaxis.labelpad = 230 |
|
441 | ax.yaxis.labelpad = 230 | |
| 442 | printLabels(ax, xlabel, ylabel, title) |
|
442 | printLabels(ax, xlabel, ylabel, title) | |
| 443 | iplot = ax.lines[-1] |
|
443 | iplot = ax.lines[-1] | |
| 444 |
|
444 | |||
| 445 | if '0.' in matplotlib.__version__[0:2]: |
|
445 | if '0.' in matplotlib.__version__[0:2]: | |
| 446 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
446 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 447 | return iplot |
|
447 | return iplot | |
| 448 |
|
448 | |||
| 449 | if '1.0.' in matplotlib.__version__[0:4]: |
|
449 | if '1.0.' in matplotlib.__version__[0:4]: | |
| 450 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
450 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 451 | return iplot |
|
451 | return iplot | |
| 452 |
|
452 | |||
| 453 | # if grid != None: |
|
453 | # if grid != None: | |
| 454 | # ax.grid(b=True, which='major', axis=grid) |
|
454 | # ax.grid(b=True, which='major', axis=grid) | |
| 455 |
|
455 | |||
| 456 | matplotlib.pyplot.tight_layout() |
|
456 | matplotlib.pyplot.tight_layout() | |
| 457 |
|
457 | |||
| 458 | matplotlib.pyplot.ion() |
|
458 | matplotlib.pyplot.ion() | |
| 459 |
|
459 | |||
| 460 |
|
460 | |||
| 461 | return iplot |
|
461 | return iplot | |
| 462 |
|
462 | |||
| 463 | def polar(iplot, x, y, xlabel='', ylabel='', title=''): |
|
463 | def polar(iplot, x, y, xlabel='', ylabel='', title=''): | |
| 464 |
|
464 | |||
| 465 | ax = iplot.get_axes() |
|
465 | ax = iplot.get_axes() | |
| 466 |
|
466 | |||
| 467 | # ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center',size='11') |
|
467 | # ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center',size='11') | |
| 468 | printLabels(ax, xlabel, ylabel, title) |
|
468 | printLabels(ax, xlabel, ylabel, title) | |
| 469 |
|
469 | |||
| 470 | set_linedata(ax, x, y, idline=0) |
|
470 | set_linedata(ax, x, y, idline=0) | |
| 471 |
|
471 | |||
| 472 | def draw(fig): |
|
472 | def draw(fig): | |
| 473 |
|
473 | |||
| 474 | if type(fig) == 'int': |
|
474 | if type(fig) == 'int': | |
| 475 | raise ValueError, "Error drawing: Fig parameter should be a matplotlib figure object figure" |
|
475 | raise ValueError, "Error drawing: Fig parameter should be a matplotlib figure object figure" | |
| 476 |
|
476 | |||
| 477 | fig.canvas.draw() |
|
477 | fig.canvas.draw() | |
| 478 |
|
478 | |||
| 479 | def pause(interval=0.000001): |
|
479 | def pause(interval=0.000001): | |
| 480 |
|
480 | |||
| 481 | matplotlib.pyplot.pause(interval) |
|
481 | matplotlib.pyplot.pause(interval) | |
| @@ -1,21 +1,20 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 |
|
2 | |||
| 3 | $Author: murco $ |
|
3 | $Author: murco $ | |
| 4 | $Id: JRODataIO.py 169 2012-11-19 21:57:03Z murco $ |
|
4 | $Id: JRODataIO.py 169 2012-11-19 21:57:03Z murco $ | |
| 5 | ''' |
|
5 | ''' | |
| 6 |
|
6 | |||
| 7 | from jroIO_voltage import * |
|
7 | from jroIO_voltage import * | |
| 8 | from jroIO_spectra import * |
|
8 | from jroIO_spectra import * | |
| 9 | from jroIO_heispectra import * |
|
9 | from jroIO_heispectra import * | |
| 10 | from jroIO_usrp import * |
|
10 | from jroIO_usrp import * | |
| 11 |
|
11 | |||
| 12 | from jroIO_kamisr import * |
|
12 | from jroIO_kamisr import * | |
| 13 | from jroIO_param import * |
|
13 | from jroIO_param import * | |
| 14 | from jroIO_hf import * |
|
14 | from jroIO_hf import * | |
| 15 |
|
15 | |||
| 16 | from jroIO_madrigal import * |
|
16 | from jroIO_madrigal import * | |
| 17 |
|
17 | |||
| 18 | from bltrIO_param import * |
|
18 | from bltrIO_param import * | |
| 19 | from jroIO_bltr import * |
|
19 | from jroIO_bltr import * | |
| 20 | from jroIO_mira35c import * |
|
20 | from jroIO_mira35c import * | |
| 21 |
|
||||
| @@ -1,1795 +1,1807 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 | Created on Jul 2, 2014 |
|
2 | Created on Jul 2, 2014 | |
| 3 |
|
3 | |||
| 4 | @author: roj-idl71 |
|
4 | @author: roj-idl71 | |
| 5 | ''' |
|
5 | ''' | |
| 6 | import os |
|
6 | import os | |
| 7 | import sys |
|
7 | import sys | |
| 8 | import glob |
|
8 | import glob | |
| 9 | import time |
|
9 | import time | |
| 10 | import numpy |
|
10 | import numpy | |
| 11 | import fnmatch |
|
11 | import fnmatch | |
| 12 | import inspect |
|
12 | import inspect | |
| 13 | import time, datetime |
|
13 | import time, datetime | |
| 14 | import traceback |
|
14 | import traceback | |
| 15 | import zmq |
|
15 | import zmq | |
| 16 |
|
16 | |||
| 17 | try: |
|
17 | try: | |
| 18 | from gevent import sleep |
|
18 | from gevent import sleep | |
| 19 | except: |
|
19 | except: | |
| 20 | from time import sleep |
|
20 | from time import sleep | |
| 21 |
|
21 | |||
| 22 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
22 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader | |
| 23 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width |
|
23 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width | |
| 24 |
|
24 | |||
| 25 | LOCALTIME = True |
|
25 | LOCALTIME = True | |
| 26 |
|
26 | |||
| 27 | def isNumber(cad): |
|
27 | def isNumber(cad): | |
| 28 | """ |
|
28 | """ | |
| 29 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
29 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. | |
| 30 |
|
30 | |||
| 31 | Excepciones: |
|
31 | Excepciones: | |
| 32 | Si un determinado string no puede ser convertido a numero |
|
32 | Si un determinado string no puede ser convertido a numero | |
| 33 | Input: |
|
33 | Input: | |
| 34 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
34 | str, string al cual se le analiza para determinar si convertible a un numero o no | |
| 35 |
|
35 | |||
| 36 | Return: |
|
36 | Return: | |
| 37 | True : si el string es uno numerico |
|
37 | True : si el string es uno numerico | |
| 38 | False : no es un string numerico |
|
38 | False : no es un string numerico | |
| 39 | """ |
|
39 | """ | |
| 40 | try: |
|
40 | try: | |
| 41 | float( cad ) |
|
41 | float( cad ) | |
| 42 | return True |
|
42 | return True | |
| 43 | except: |
|
43 | except: | |
| 44 | return False |
|
44 | return False | |
| 45 |
|
45 | |||
| 46 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): |
|
46 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): | |
| 47 | """ |
|
47 | """ | |
| 48 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
48 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. | |
| 49 |
|
49 | |||
| 50 | Inputs: |
|
50 | Inputs: | |
| 51 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
51 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) | |
| 52 |
|
52 | |||
| 53 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
53 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en | |
| 54 | segundos contados desde 01/01/1970. |
|
54 | segundos contados desde 01/01/1970. | |
| 55 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
55 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en | |
| 56 | segundos contados desde 01/01/1970. |
|
56 | segundos contados desde 01/01/1970. | |
| 57 |
|
57 | |||
| 58 | Return: |
|
58 | Return: | |
| 59 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
59 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de | |
| 60 | fecha especificado, de lo contrario retorna False. |
|
60 | fecha especificado, de lo contrario retorna False. | |
| 61 |
|
61 | |||
| 62 | Excepciones: |
|
62 | Excepciones: | |
| 63 | Si el archivo no existe o no puede ser abierto |
|
63 | Si el archivo no existe o no puede ser abierto | |
| 64 | Si la cabecera no puede ser leida. |
|
64 | Si la cabecera no puede ser leida. | |
| 65 |
|
65 | |||
| 66 | """ |
|
66 | """ | |
| 67 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
67 | basicHeaderObj = BasicHeader(LOCALTIME) | |
| 68 |
|
68 | |||
| 69 | try: |
|
69 | try: | |
| 70 | fp = open(filename,'rb') |
|
70 | fp = open(filename,'rb') | |
| 71 | except IOError: |
|
71 | except IOError: | |
| 72 | print "The file %s can't be opened" %(filename) |
|
72 | print "The file %s can't be opened" %(filename) | |
| 73 | return 0 |
|
73 | return 0 | |
| 74 |
|
74 | |||
| 75 | sts = basicHeaderObj.read(fp) |
|
75 | sts = basicHeaderObj.read(fp) | |
| 76 | fp.close() |
|
76 | fp.close() | |
| 77 |
|
77 | |||
| 78 | if not(sts): |
|
78 | if not(sts): | |
| 79 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
79 | print "Skipping the file %s because it has not a valid header" %(filename) | |
| 80 | return 0 |
|
80 | return 0 | |
| 81 |
|
81 | |||
| 82 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
82 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): | |
| 83 | return 0 |
|
83 | return 0 | |
| 84 |
|
84 | |||
| 85 | return 1 |
|
85 | return 1 | |
| 86 |
|
86 | |||
| 87 | def isTimeInRange(thisTime, startTime, endTime): |
|
87 | def isTimeInRange(thisTime, startTime, endTime): | |
| 88 |
|
88 | |||
| 89 | if endTime >= startTime: |
|
89 | if endTime >= startTime: | |
| 90 | if (thisTime < startTime) or (thisTime > endTime): |
|
90 | if (thisTime < startTime) or (thisTime > endTime): | |
| 91 | return 0 |
|
91 | return 0 | |
| 92 |
|
92 | |||
| 93 | return 1 |
|
93 | return 1 | |
| 94 | else: |
|
94 | else: | |
| 95 | if (thisTime < startTime) and (thisTime > endTime): |
|
95 | if (thisTime < startTime) and (thisTime > endTime): | |
| 96 | return 0 |
|
96 | return 0 | |
| 97 |
|
97 | |||
| 98 | return 1 |
|
98 | return 1 | |
| 99 |
|
99 | |||
| 100 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): |
|
100 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): | |
| 101 | """ |
|
101 | """ | |
| 102 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
102 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. | |
| 103 |
|
103 | |||
| 104 | Inputs: |
|
104 | Inputs: | |
| 105 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
105 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) | |
| 106 |
|
106 | |||
| 107 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
107 | startDate : fecha inicial del rango seleccionado en formato datetime.date | |
| 108 |
|
108 | |||
| 109 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
109 | endDate : fecha final del rango seleccionado en formato datetime.date | |
| 110 |
|
110 | |||
| 111 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
111 | startTime : tiempo inicial del rango seleccionado en formato datetime.time | |
| 112 |
|
112 | |||
| 113 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
113 | endTime : tiempo final del rango seleccionado en formato datetime.time | |
| 114 |
|
114 | |||
| 115 | Return: |
|
115 | Return: | |
| 116 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
116 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de | |
| 117 | fecha especificado, de lo contrario retorna False. |
|
117 | fecha especificado, de lo contrario retorna False. | |
| 118 |
|
118 | |||
| 119 | Excepciones: |
|
119 | Excepciones: | |
| 120 | Si el archivo no existe o no puede ser abierto |
|
120 | Si el archivo no existe o no puede ser abierto | |
| 121 | Si la cabecera no puede ser leida. |
|
121 | Si la cabecera no puede ser leida. | |
| 122 |
|
122 | |||
| 123 | """ |
|
123 | """ | |
| 124 |
|
124 | |||
| 125 |
|
125 | |||
| 126 | try: |
|
126 | try: | |
| 127 | fp = open(filename,'rb') |
|
127 | fp = open(filename,'rb') | |
| 128 | except IOError: |
|
128 | except IOError: | |
| 129 | print "The file %s can't be opened" %(filename) |
|
129 | print "The file %s can't be opened" %(filename) | |
| 130 | return None |
|
130 | return None | |
| 131 |
|
131 | |||
| 132 | firstBasicHeaderObj = BasicHeader(LOCALTIME) |
|
132 | firstBasicHeaderObj = BasicHeader(LOCALTIME) | |
| 133 | systemHeaderObj = SystemHeader() |
|
133 | systemHeaderObj = SystemHeader() | |
| 134 | radarControllerHeaderObj = RadarControllerHeader() |
|
134 | radarControllerHeaderObj = RadarControllerHeader() | |
| 135 | processingHeaderObj = ProcessingHeader() |
|
135 | processingHeaderObj = ProcessingHeader() | |
| 136 |
|
136 | |||
| 137 | lastBasicHeaderObj = BasicHeader(LOCALTIME) |
|
137 | lastBasicHeaderObj = BasicHeader(LOCALTIME) | |
| 138 |
|
138 | |||
| 139 | sts = firstBasicHeaderObj.read(fp) |
|
139 | sts = firstBasicHeaderObj.read(fp) | |
| 140 |
|
140 | |||
| 141 | if not(sts): |
|
141 | if not(sts): | |
| 142 | print "[Reading] Skipping the file %s because it has not a valid header" %(filename) |
|
142 | print "[Reading] Skipping the file %s because it has not a valid header" %(filename) | |
| 143 | return None |
|
143 | return None | |
| 144 |
|
144 | |||
| 145 | if not systemHeaderObj.read(fp): |
|
145 | if not systemHeaderObj.read(fp): | |
| 146 | return None |
|
146 | return None | |
| 147 |
|
147 | |||
| 148 | if not radarControllerHeaderObj.read(fp): |
|
148 | if not radarControllerHeaderObj.read(fp): | |
| 149 | return None |
|
149 | return None | |
| 150 |
|
150 | |||
| 151 | if not processingHeaderObj.read(fp): |
|
151 | if not processingHeaderObj.read(fp): | |
| 152 | return None |
|
152 | return None | |
| 153 |
|
153 | |||
| 154 | filesize = os.path.getsize(filename) |
|
154 | filesize = os.path.getsize(filename) | |
| 155 |
|
155 | |||
| 156 | offset = processingHeaderObj.blockSize + 24 #header size |
|
156 | offset = processingHeaderObj.blockSize + 24 #header size | |
| 157 |
|
157 | |||
| 158 | if filesize <= offset: |
|
158 | if filesize <= offset: | |
| 159 | print "[Reading] %s: This file has not enough data" %filename |
|
159 | print "[Reading] %s: This file has not enough data" %filename | |
| 160 | return None |
|
160 | return None | |
| 161 |
|
161 | |||
| 162 | fp.seek(-offset, 2) |
|
162 | fp.seek(-offset, 2) | |
| 163 |
|
163 | |||
| 164 | sts = lastBasicHeaderObj.read(fp) |
|
164 | sts = lastBasicHeaderObj.read(fp) | |
| 165 |
|
165 | |||
| 166 | fp.close() |
|
166 | fp.close() | |
| 167 |
|
167 | |||
| 168 | thisDatetime = lastBasicHeaderObj.datatime |
|
168 | thisDatetime = lastBasicHeaderObj.datatime | |
| 169 | thisTime_last_block = thisDatetime.time() |
|
169 | thisTime_last_block = thisDatetime.time() | |
| 170 |
|
170 | |||
| 171 | thisDatetime = firstBasicHeaderObj.datatime |
|
171 | thisDatetime = firstBasicHeaderObj.datatime | |
| 172 | thisDate = thisDatetime.date() |
|
172 | thisDate = thisDatetime.date() | |
| 173 | thisTime_first_block = thisDatetime.time() |
|
173 | thisTime_first_block = thisDatetime.time() | |
| 174 |
|
174 | |||
| 175 | #General case |
|
175 | #General case | |
| 176 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
176 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o | |
| 177 | #-----------o----------------------------o----------- |
|
177 | #-----------o----------------------------o----------- | |
| 178 | # startTime endTime |
|
178 | # startTime endTime | |
| 179 |
|
179 | |||
| 180 | if endTime >= startTime: |
|
180 | if endTime >= startTime: | |
| 181 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): |
|
181 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): | |
| 182 | return None |
|
182 | return None | |
| 183 |
|
183 | |||
| 184 | return thisDatetime |
|
184 | return thisDatetime | |
| 185 |
|
185 | |||
| 186 | #If endTime < startTime then endTime belongs to the next day |
|
186 | #If endTime < startTime then endTime belongs to the next day | |
| 187 |
|
187 | |||
| 188 |
|
188 | |||
| 189 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
189 | #<<<<<<<<<<<o o>>>>>>>>>>> | |
| 190 | #-----------o----------------------------o----------- |
|
190 | #-----------o----------------------------o----------- | |
| 191 | # endTime startTime |
|
191 | # endTime startTime | |
| 192 |
|
192 | |||
| 193 | if (thisDate == startDate) and (thisTime_last_block < startTime): |
|
193 | if (thisDate == startDate) and (thisTime_last_block < startTime): | |
| 194 | return None |
|
194 | return None | |
| 195 |
|
195 | |||
| 196 | if (thisDate == endDate) and (thisTime_first_block > endTime): |
|
196 | if (thisDate == endDate) and (thisTime_first_block > endTime): | |
| 197 | return None |
|
197 | return None | |
| 198 |
|
198 | |||
| 199 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): |
|
199 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): | |
| 200 | return None |
|
200 | return None | |
| 201 |
|
201 | |||
| 202 | return thisDatetime |
|
202 | return thisDatetime | |
| 203 |
|
203 | |||
| 204 | def isFolderInDateRange(folder, startDate=None, endDate=None): |
|
204 | def isFolderInDateRange(folder, startDate=None, endDate=None): | |
| 205 | """ |
|
205 | """ | |
| 206 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
206 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. | |
| 207 |
|
207 | |||
| 208 | Inputs: |
|
208 | Inputs: | |
| 209 | folder : nombre completo del directorio. |
|
209 | folder : nombre completo del directorio. | |
| 210 | Su formato deberia ser "/path_root/?YYYYDDD" |
|
210 | Su formato deberia ser "/path_root/?YYYYDDD" | |
| 211 |
|
211 | |||
| 212 | siendo: |
|
212 | siendo: | |
| 213 | YYYY : Anio (ejemplo 2015) |
|
213 | YYYY : Anio (ejemplo 2015) | |
| 214 | DDD : Dia del anio (ejemplo 305) |
|
214 | DDD : Dia del anio (ejemplo 305) | |
| 215 |
|
215 | |||
| 216 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
216 | startDate : fecha inicial del rango seleccionado en formato datetime.date | |
| 217 |
|
217 | |||
| 218 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
218 | endDate : fecha final del rango seleccionado en formato datetime.date | |
| 219 |
|
219 | |||
| 220 | Return: |
|
220 | Return: | |
| 221 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
221 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de | |
| 222 | fecha especificado, de lo contrario retorna False. |
|
222 | fecha especificado, de lo contrario retorna False. | |
| 223 | Excepciones: |
|
223 | Excepciones: | |
| 224 | Si el directorio no tiene el formato adecuado |
|
224 | Si el directorio no tiene el formato adecuado | |
| 225 | """ |
|
225 | """ | |
| 226 |
|
226 | |||
| 227 | basename = os.path.basename(folder) |
|
227 | basename = os.path.basename(folder) | |
| 228 |
|
228 | |||
| 229 | if not isRadarFolder(basename): |
|
229 | if not isRadarFolder(basename): | |
| 230 | print "The folder %s has not the rigth format" %folder |
|
230 | print "The folder %s has not the rigth format" %folder | |
| 231 | return 0 |
|
231 | return 0 | |
| 232 |
|
232 | |||
| 233 | if startDate and endDate: |
|
233 | if startDate and endDate: | |
| 234 | thisDate = getDateFromRadarFolder(basename) |
|
234 | thisDate = getDateFromRadarFolder(basename) | |
| 235 |
|
235 | |||
| 236 | if thisDate < startDate: |
|
236 | if thisDate < startDate: | |
| 237 | return 0 |
|
237 | return 0 | |
| 238 |
|
238 | |||
| 239 | if thisDate > endDate: |
|
239 | if thisDate > endDate: | |
| 240 | return 0 |
|
240 | return 0 | |
| 241 |
|
241 | |||
| 242 | return 1 |
|
242 | return 1 | |
| 243 |
|
243 | |||
| 244 | def isFileInDateRange(filename, startDate=None, endDate=None): |
|
244 | def isFileInDateRange(filename, startDate=None, endDate=None): | |
| 245 | """ |
|
245 | """ | |
| 246 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
246 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. | |
| 247 |
|
247 | |||
| 248 | Inputs: |
|
248 | Inputs: | |
| 249 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
249 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) | |
| 250 |
|
250 | |||
| 251 | Su formato deberia ser "?YYYYDDDsss" |
|
251 | Su formato deberia ser "?YYYYDDDsss" | |
| 252 |
|
252 | |||
| 253 | siendo: |
|
253 | siendo: | |
| 254 | YYYY : Anio (ejemplo 2015) |
|
254 | YYYY : Anio (ejemplo 2015) | |
| 255 | DDD : Dia del anio (ejemplo 305) |
|
255 | DDD : Dia del anio (ejemplo 305) | |
| 256 | sss : set |
|
256 | sss : set | |
| 257 |
|
257 | |||
| 258 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
258 | startDate : fecha inicial del rango seleccionado en formato datetime.date | |
| 259 |
|
259 | |||
| 260 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
260 | endDate : fecha final del rango seleccionado en formato datetime.date | |
| 261 |
|
261 | |||
| 262 | Return: |
|
262 | Return: | |
| 263 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
263 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de | |
| 264 | fecha especificado, de lo contrario retorna False. |
|
264 | fecha especificado, de lo contrario retorna False. | |
| 265 | Excepciones: |
|
265 | Excepciones: | |
| 266 | Si el archivo no tiene el formato adecuado |
|
266 | Si el archivo no tiene el formato adecuado | |
| 267 | """ |
|
267 | """ | |
| 268 |
|
268 | |||
| 269 | basename = os.path.basename(filename) |
|
269 | basename = os.path.basename(filename) | |
| 270 |
|
270 | |||
| 271 | if not isRadarFile(basename): |
|
271 | if not isRadarFile(basename): | |
| 272 | print "The filename %s has not the rigth format" %filename |
|
272 | print "The filename %s has not the rigth format" %filename | |
| 273 | return 0 |
|
273 | return 0 | |
| 274 |
|
274 | |||
| 275 | if startDate and endDate: |
|
275 | if startDate and endDate: | |
| 276 | thisDate = getDateFromRadarFile(basename) |
|
276 | thisDate = getDateFromRadarFile(basename) | |
| 277 |
|
277 | |||
| 278 | if thisDate < startDate: |
|
278 | if thisDate < startDate: | |
| 279 | return 0 |
|
279 | return 0 | |
| 280 |
|
280 | |||
| 281 | if thisDate > endDate: |
|
281 | if thisDate > endDate: | |
| 282 | return 0 |
|
282 | return 0 | |
| 283 |
|
283 | |||
| 284 | return 1 |
|
284 | return 1 | |
| 285 |
|
285 | |||
| 286 | def getFileFromSet(path, ext, set): |
|
286 | def getFileFromSet(path, ext, set): | |
| 287 | validFilelist = [] |
|
287 | validFilelist = [] | |
| 288 | fileList = os.listdir(path) |
|
288 | fileList = os.listdir(path) | |
| 289 |
|
289 | |||
| 290 | # 0 1234 567 89A BCDE |
|
290 | # 0 1234 567 89A BCDE | |
| 291 | # H YYYY DDD SSS .ext |
|
291 | # H YYYY DDD SSS .ext | |
| 292 |
|
292 | |||
| 293 | for thisFile in fileList: |
|
293 | for thisFile in fileList: | |
| 294 | try: |
|
294 | try: | |
| 295 | year = int(thisFile[1:5]) |
|
295 | year = int(thisFile[1:5]) | |
| 296 | doy = int(thisFile[5:8]) |
|
296 | doy = int(thisFile[5:8]) | |
| 297 | except: |
|
297 | except: | |
| 298 | continue |
|
298 | continue | |
| 299 |
|
299 | |||
| 300 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
300 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): | |
| 301 | continue |
|
301 | continue | |
| 302 |
|
302 | |||
| 303 | validFilelist.append(thisFile) |
|
303 | validFilelist.append(thisFile) | |
| 304 |
|
304 | |||
| 305 | myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set)) |
|
305 | myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set)) | |
| 306 |
|
306 | |||
| 307 | if len(myfile)!= 0: |
|
307 | if len(myfile)!= 0: | |
| 308 | return myfile[0] |
|
308 | return myfile[0] | |
| 309 | else: |
|
309 | else: | |
| 310 | filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower()) |
|
310 | filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower()) | |
| 311 | print 'the filename %s does not exist'%filename |
|
311 | print 'the filename %s does not exist'%filename | |
| 312 | print '...going to the last file: ' |
|
312 | print '...going to the last file: ' | |
| 313 |
|
313 | |||
| 314 | if validFilelist: |
|
314 | if validFilelist: | |
| 315 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
315 | validFilelist = sorted( validFilelist, key=str.lower ) | |
| 316 | return validFilelist[-1] |
|
316 | return validFilelist[-1] | |
| 317 |
|
317 | |||
| 318 | return None |
|
318 | return None | |
| 319 |
|
319 | |||
| 320 | def getlastFileFromPath(path, ext): |
|
320 | def getlastFileFromPath(path, ext): | |
| 321 | """ |
|
321 | """ | |
| 322 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
322 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" | |
| 323 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
323 | al final de la depuracion devuelve el ultimo file de la lista que quedo. | |
| 324 |
|
324 | |||
| 325 | Input: |
|
325 | Input: | |
| 326 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
326 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta | |
| 327 | ext : extension de los files contenidos en una carpeta |
|
327 | ext : extension de los files contenidos en una carpeta | |
| 328 |
|
328 | |||
| 329 | Return: |
|
329 | Return: | |
| 330 | El ultimo file de una determinada carpeta, no se considera el path. |
|
330 | El ultimo file de una determinada carpeta, no se considera el path. | |
| 331 | """ |
|
331 | """ | |
| 332 | validFilelist = [] |
|
332 | validFilelist = [] | |
| 333 | fileList = os.listdir(path) |
|
333 | fileList = os.listdir(path) | |
| 334 |
|
334 | |||
| 335 | # 0 1234 567 89A BCDE |
|
335 | # 0 1234 567 89A BCDE | |
| 336 | # H YYYY DDD SSS .ext |
|
336 | # H YYYY DDD SSS .ext | |
| 337 |
|
337 | |||
| 338 | for thisFile in fileList: |
|
338 | for thisFile in fileList: | |
| 339 |
|
339 | |||
| 340 | year = thisFile[1:5] |
|
340 | year = thisFile[1:5] | |
| 341 | if not isNumber(year): |
|
341 | if not isNumber(year): | |
| 342 | continue |
|
342 | continue | |
| 343 |
|
343 | |||
| 344 | doy = thisFile[5:8] |
|
344 | doy = thisFile[5:8] | |
| 345 | if not isNumber(doy): |
|
345 | if not isNumber(doy): | |
| 346 | continue |
|
346 | continue | |
| 347 |
|
347 | |||
| 348 | year = int(year) |
|
348 | year = int(year) | |
| 349 | doy = int(doy) |
|
349 | doy = int(doy) | |
| 350 |
|
350 | |||
| 351 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
351 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): | |
| 352 | continue |
|
352 | continue | |
| 353 |
|
353 | |||
| 354 | validFilelist.append(thisFile) |
|
354 | validFilelist.append(thisFile) | |
| 355 |
|
355 | |||
| 356 | if validFilelist: |
|
356 | if validFilelist: | |
| 357 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
357 | validFilelist = sorted( validFilelist, key=str.lower ) | |
| 358 | return validFilelist[-1] |
|
358 | return validFilelist[-1] | |
| 359 |
|
359 | |||
| 360 | return None |
|
360 | return None | |
| 361 |
|
361 | |||
| 362 | def checkForRealPath(path, foldercounter, year, doy, set, ext): |
|
362 | def checkForRealPath(path, foldercounter, year, doy, set, ext): | |
| 363 | """ |
|
363 | """ | |
| 364 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
364 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, | |
| 365 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
365 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar | |
| 366 | el path exacto de un determinado file. |
|
366 | el path exacto de un determinado file. | |
| 367 |
|
367 | |||
| 368 | Example : |
|
368 | Example : | |
| 369 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
369 | nombre correcto del file es .../.../D2009307/P2009307367.ext | |
| 370 |
|
370 | |||
| 371 | Entonces la funcion prueba con las siguientes combinaciones |
|
371 | Entonces la funcion prueba con las siguientes combinaciones | |
| 372 | .../.../y2009307367.ext |
|
372 | .../.../y2009307367.ext | |
| 373 | .../.../Y2009307367.ext |
|
373 | .../.../Y2009307367.ext | |
| 374 | .../.../x2009307/y2009307367.ext |
|
374 | .../.../x2009307/y2009307367.ext | |
| 375 | .../.../x2009307/Y2009307367.ext |
|
375 | .../.../x2009307/Y2009307367.ext | |
| 376 | .../.../X2009307/y2009307367.ext |
|
376 | .../.../X2009307/y2009307367.ext | |
| 377 | .../.../X2009307/Y2009307367.ext |
|
377 | .../.../X2009307/Y2009307367.ext | |
| 378 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
378 | siendo para este caso, la ultima combinacion de letras, identica al file buscado | |
| 379 |
|
379 | |||
| 380 | Return: |
|
380 | Return: | |
| 381 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
381 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file | |
| 382 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
382 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas | |
| 383 | para el filename |
|
383 | para el filename | |
| 384 | """ |
|
384 | """ | |
| 385 | fullfilename = None |
|
385 | fullfilename = None | |
| 386 | find_flag = False |
|
386 | find_flag = False | |
| 387 | filename = None |
|
387 | filename = None | |
| 388 |
|
388 | |||
| 389 | prefixDirList = [None,'d','D'] |
|
389 | prefixDirList = [None,'d','D'] | |
| 390 | if ext.lower() == ".r": #voltage |
|
390 | if ext.lower() == ".r": #voltage | |
| 391 | prefixFileList = ['d','D'] |
|
391 | prefixFileList = ['d','D'] | |
| 392 | elif ext.lower() == ".pdata": #spectra |
|
392 | elif ext.lower() == ".pdata": #spectra | |
| 393 | prefixFileList = ['p','P'] |
|
393 | prefixFileList = ['p','P'] | |
| 394 | else: |
|
394 | else: | |
| 395 | return None, filename |
|
395 | return None, filename | |
| 396 |
|
396 | |||
| 397 | #barrido por las combinaciones posibles |
|
397 | #barrido por las combinaciones posibles | |
| 398 | for prefixDir in prefixDirList: |
|
398 | for prefixDir in prefixDirList: | |
| 399 | thispath = path |
|
399 | thispath = path | |
| 400 | if prefixDir != None: |
|
400 | if prefixDir != None: | |
| 401 | #formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
401 | #formo el nombre del directorio xYYYYDDD (x=d o x=D) | |
| 402 | if foldercounter == 0: |
|
402 | if foldercounter == 0: | |
| 403 | thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy )) |
|
403 | thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy )) | |
| 404 | else: |
|
404 | else: | |
| 405 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter)) |
|
405 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter)) | |
| 406 | for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D" |
|
406 | for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D" | |
| 407 | filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext |
|
407 | filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext | |
| 408 | fullfilename = os.path.join( thispath, filename ) #formo el path completo |
|
408 | fullfilename = os.path.join( thispath, filename ) #formo el path completo | |
| 409 |
|
409 | |||
| 410 | if os.path.exists( fullfilename ): #verifico que exista |
|
410 | if os.path.exists( fullfilename ): #verifico que exista | |
| 411 | find_flag = True |
|
411 | find_flag = True | |
| 412 | break |
|
412 | break | |
| 413 | if find_flag: |
|
413 | if find_flag: | |
| 414 | break |
|
414 | break | |
| 415 |
|
415 | |||
| 416 | if not(find_flag): |
|
416 | if not(find_flag): | |
| 417 | return None, filename |
|
417 | return None, filename | |
| 418 |
|
418 | |||
| 419 | return fullfilename, filename |
|
419 | return fullfilename, filename | |
| 420 |
|
420 | |||
| 421 | def isRadarFolder(folder): |
|
421 | def isRadarFolder(folder): | |
| 422 | try: |
|
422 | try: | |
| 423 | year = int(folder[1:5]) |
|
423 | year = int(folder[1:5]) | |
| 424 | doy = int(folder[5:8]) |
|
424 | doy = int(folder[5:8]) | |
| 425 | except: |
|
425 | except: | |
| 426 | return 0 |
|
426 | return 0 | |
| 427 |
|
427 | |||
| 428 | return 1 |
|
428 | return 1 | |
| 429 |
|
429 | |||
| 430 | def isRadarFile(file): |
|
430 | def isRadarFile(file): | |
| 431 | try: |
|
431 | try: | |
| 432 | year = int(file[1:5]) |
|
432 | year = int(file[1:5]) | |
| 433 | doy = int(file[5:8]) |
|
433 | doy = int(file[5:8]) | |
| 434 | set = int(file[8:11]) |
|
434 | set = int(file[8:11]) | |
| 435 | except: |
|
435 | except: | |
| 436 | return 0 |
|
436 | return 0 | |
| 437 |
|
437 | |||
| 438 | return 1 |
|
438 | return 1 | |
| 439 |
|
439 | |||
| 440 | def getDateFromRadarFile(file): |
|
440 | def getDateFromRadarFile(file): | |
| 441 | try: |
|
441 | try: | |
| 442 | year = int(file[1:5]) |
|
442 | year = int(file[1:5]) | |
| 443 | doy = int(file[5:8]) |
|
443 | doy = int(file[5:8]) | |
| 444 | set = int(file[8:11]) |
|
444 | set = int(file[8:11]) | |
| 445 | except: |
|
445 | except: | |
| 446 | return None |
|
446 | return None | |
| 447 |
|
447 | |||
| 448 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) |
|
448 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) | |
| 449 | return thisDate |
|
449 | return thisDate | |
| 450 |
|
450 | |||
| 451 | def getDateFromRadarFolder(folder): |
|
451 | def getDateFromRadarFolder(folder): | |
| 452 | try: |
|
452 | try: | |
| 453 | year = int(folder[1:5]) |
|
453 | year = int(folder[1:5]) | |
| 454 | doy = int(folder[5:8]) |
|
454 | doy = int(folder[5:8]) | |
| 455 | except: |
|
455 | except: | |
| 456 | return None |
|
456 | return None | |
| 457 |
|
457 | |||
| 458 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) |
|
458 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) | |
| 459 | return thisDate |
|
459 | return thisDate | |
| 460 |
|
460 | |||
| 461 | class JRODataIO: |
|
461 | class JRODataIO: | |
| 462 |
|
462 | |||
| 463 | c = 3E8 |
|
463 | c = 3E8 | |
| 464 |
|
464 | |||
| 465 | isConfig = False |
|
465 | isConfig = False | |
| 466 |
|
466 | |||
| 467 | basicHeaderObj = None |
|
467 | basicHeaderObj = None | |
| 468 |
|
468 | |||
| 469 | systemHeaderObj = None |
|
469 | systemHeaderObj = None | |
| 470 |
|
470 | |||
| 471 | radarControllerHeaderObj = None |
|
471 | radarControllerHeaderObj = None | |
| 472 |
|
472 | |||
| 473 | processingHeaderObj = None |
|
473 | processingHeaderObj = None | |
| 474 |
|
474 | |||
| 475 | dtype = None |
|
475 | dtype = None | |
| 476 |
|
476 | |||
| 477 | pathList = [] |
|
477 | pathList = [] | |
| 478 |
|
478 | |||
| 479 | filenameList = [] |
|
479 | filenameList = [] | |
| 480 |
|
480 | |||
| 481 | filename = None |
|
481 | filename = None | |
| 482 |
|
482 | |||
| 483 | ext = None |
|
483 | ext = None | |
| 484 |
|
484 | |||
| 485 | flagIsNewFile = 1 |
|
485 | flagIsNewFile = 1 | |
| 486 |
|
486 | |||
| 487 | flagDiscontinuousBlock = 0 |
|
487 | flagDiscontinuousBlock = 0 | |
| 488 |
|
488 | |||
| 489 | flagIsNewBlock = 0 |
|
489 | flagIsNewBlock = 0 | |
| 490 |
|
490 | |||
| 491 | fp = None |
|
491 | fp = None | |
| 492 |
|
492 | |||
| 493 | firstHeaderSize = 0 |
|
493 | firstHeaderSize = 0 | |
| 494 |
|
494 | |||
| 495 | basicHeaderSize = 24 |
|
495 | basicHeaderSize = 24 | |
| 496 |
|
496 | |||
| 497 | versionFile = 1103 |
|
497 | versionFile = 1103 | |
| 498 |
|
498 | |||
| 499 | fileSize = None |
|
499 | fileSize = None | |
| 500 |
|
500 | |||
| 501 | # ippSeconds = None |
|
501 | # ippSeconds = None | |
| 502 |
|
502 | |||
| 503 | fileSizeByHeader = None |
|
503 | fileSizeByHeader = None | |
| 504 |
|
504 | |||
| 505 | fileIndex = None |
|
505 | fileIndex = None | |
| 506 |
|
506 | |||
| 507 | profileIndex = None |
|
507 | profileIndex = None | |
| 508 |
|
508 | |||
| 509 | blockIndex = None |
|
509 | blockIndex = None | |
| 510 |
|
510 | |||
| 511 | nTotalBlocks = None |
|
511 | nTotalBlocks = None | |
| 512 |
|
512 | |||
| 513 | maxTimeStep = 30 |
|
513 | maxTimeStep = 30 | |
| 514 |
|
514 | |||
| 515 | lastUTTime = None |
|
515 | lastUTTime = None | |
| 516 |
|
516 | |||
| 517 | datablock = None |
|
517 | datablock = None | |
| 518 |
|
518 | |||
| 519 | dataOut = None |
|
519 | dataOut = None | |
| 520 |
|
520 | |||
| 521 | blocksize = None |
|
521 | blocksize = None | |
| 522 |
|
522 | |||
| 523 | getByBlock = False |
|
523 | getByBlock = False | |
| 524 |
|
524 | |||
| 525 | def __init__(self): |
|
525 | def __init__(self): | |
| 526 |
|
526 | |||
| 527 | raise NotImplementedError |
|
527 | raise NotImplementedError | |
| 528 |
|
528 | |||
| 529 | def run(self): |
|
529 | def run(self): | |
| 530 |
|
530 | |||
| 531 | raise NotImplementedError |
|
531 | raise NotImplementedError | |
| 532 |
|
532 | |||
| 533 | def getDtypeWidth(self): |
|
533 | def getDtypeWidth(self): | |
| 534 |
|
534 | |||
| 535 | dtype_index = get_dtype_index(self.dtype) |
|
535 | dtype_index = get_dtype_index(self.dtype) | |
| 536 | dtype_width = get_dtype_width(dtype_index) |
|
536 | dtype_width = get_dtype_width(dtype_index) | |
| 537 |
|
537 | |||
| 538 | return dtype_width |
|
538 | return dtype_width | |
| 539 |
|
539 | |||
| 540 | def getAllowedArgs(self): |
|
540 | def getAllowedArgs(self): | |
| 541 | return inspect.getargspec(self.run).args |
|
541 | return inspect.getargspec(self.run).args | |
| 542 |
|
542 | |||
| 543 | class JRODataReader(JRODataIO): |
|
543 | class JRODataReader(JRODataIO): | |
| 544 |
|
544 | |||
| 545 | online = 0 |
|
545 | online = 0 | |
| 546 |
|
546 | |||
| 547 | realtime = 0 |
|
547 | realtime = 0 | |
| 548 |
|
548 | |||
| 549 | nReadBlocks = 0 |
|
549 | nReadBlocks = 0 | |
| 550 |
|
550 | |||
| 551 | delay = 10 #number of seconds waiting a new file |
|
551 | delay = 10 #number of seconds waiting a new file | |
| 552 |
|
552 | |||
| 553 | nTries = 3 #quantity tries |
|
553 | nTries = 3 #quantity tries | |
| 554 |
|
554 | |||
| 555 | nFiles = 3 #number of files for searching |
|
555 | nFiles = 3 #number of files for searching | |
| 556 |
|
556 | |||
| 557 | path = None |
|
557 | path = None | |
| 558 |
|
558 | |||
| 559 | foldercounter = 0 |
|
559 | foldercounter = 0 | |
| 560 |
|
560 | |||
| 561 | flagNoMoreFiles = 0 |
|
561 | flagNoMoreFiles = 0 | |
| 562 |
|
562 | |||
| 563 | datetimeList = [] |
|
563 | datetimeList = [] | |
| 564 |
|
564 | |||
| 565 | __isFirstTimeOnline = 1 |
|
565 | __isFirstTimeOnline = 1 | |
| 566 |
|
566 | |||
| 567 | __printInfo = True |
|
567 | __printInfo = True | |
| 568 |
|
568 | |||
| 569 | profileIndex = None |
|
569 | profileIndex = None | |
| 570 |
|
570 | |||
| 571 | nTxs = 1 |
|
571 | nTxs = 1 | |
| 572 |
|
572 | |||
| 573 | txIndex = None |
|
573 | txIndex = None | |
| 574 |
|
574 | |||
| 575 | #Added-------------------- |
|
575 | #Added-------------------- | |
| 576 |
|
576 | |||
| 577 | selBlocksize = None |
|
577 | selBlocksize = None | |
| 578 |
|
578 | |||
| 579 | selBlocktime = None |
|
579 | selBlocktime = None | |
| 580 |
|
580 | |||
| 581 | def __init__(self): |
|
581 | def __init__(self): | |
| 582 |
|
582 | |||
| 583 | """ |
|
583 | """ | |
| 584 | This class is used to find data files |
|
584 | This class is used to find data files | |
| 585 |
|
585 | |||
| 586 | Example: |
|
586 | Example: | |
| 587 | reader = JRODataReader() |
|
587 | reader = JRODataReader() | |
| 588 | fileList = reader.findDataFiles() |
|
588 | fileList = reader.findDataFiles() | |
| 589 |
|
589 | |||
| 590 | """ |
|
590 | """ | |
| 591 | pass |
|
591 | pass | |
| 592 |
|
592 | |||
| 593 |
|
593 | |||
| 594 | def createObjByDefault(self): |
|
594 | def createObjByDefault(self): | |
| 595 | """ |
|
595 | """ | |
| 596 |
|
596 | |||
| 597 | """ |
|
597 | """ | |
| 598 | raise NotImplementedError |
|
598 | raise NotImplementedError | |
| 599 |
|
599 | |||
| 600 | def getBlockDimension(self): |
|
600 | def getBlockDimension(self): | |
| 601 |
|
601 | |||
| 602 | raise NotImplementedError |
|
602 | raise NotImplementedError | |
| 603 |
|
603 | |||
| 604 | def searchFilesOffLine(self, |
|
604 | def searchFilesOffLine(self, | |
| 605 | path, |
|
605 | path, | |
| 606 | startDate=None, |
|
606 | startDate=None, | |
| 607 | endDate=None, |
|
607 | endDate=None, | |
| 608 | startTime=datetime.time(0,0,0), |
|
608 | startTime=datetime.time(0,0,0), | |
| 609 | endTime=datetime.time(23,59,59), |
|
609 | endTime=datetime.time(23,59,59), | |
| 610 | set=None, |
|
610 | set=None, | |
| 611 | expLabel='', |
|
611 | expLabel='', | |
| 612 | ext='.r', |
|
612 | ext='.r', | |
| 613 | cursor=None, |
|
613 | cursor=None, | |
| 614 | skip=None, |
|
614 | skip=None, | |
| 615 | walk=True): |
|
615 | walk=True): | |
| 616 |
|
616 | |||
| 617 | self.filenameList = [] |
|
617 | self.filenameList = [] | |
| 618 | self.datetimeList = [] |
|
618 | self.datetimeList = [] | |
| 619 |
|
619 | |||
| 620 | pathList = [] |
|
620 | pathList = [] | |
| 621 |
|
621 | |||
| 622 | dateList, pathList = self.findDatafiles(path, startDate, endDate, expLabel, ext, walk, include_path=True) |
|
622 | dateList, pathList = self.findDatafiles(path, startDate, endDate, expLabel, ext, walk, include_path=True) | |
| 623 |
|
623 | |||
| 624 | if dateList == []: |
|
624 | if dateList == []: | |
| 625 | return [], [] |
|
625 | return [], [] | |
| 626 |
|
626 | |||
| 627 | if len(dateList) > 1: |
|
627 | if len(dateList) > 1: | |
| 628 | print "[Reading] Data found for date range [%s - %s]: total days = %d" %(startDate, endDate, len(dateList)) |
|
628 | print "[Reading] Data found for date range [%s - %s]: total days = %d" %(startDate, endDate, len(dateList)) | |
| 629 | else: |
|
629 | else: | |
| 630 | print "[Reading] Data found for date range [%s - %s]: date = %s" %(startDate, endDate, dateList[0]) |
|
630 | print "[Reading] Data found for date range [%s - %s]: date = %s" %(startDate, endDate, dateList[0]) | |
| 631 |
|
631 | |||
| 632 | filenameList = [] |
|
632 | filenameList = [] | |
| 633 | datetimeList = [] |
|
633 | datetimeList = [] | |
| 634 |
|
634 | |||
| 635 | for thisPath in pathList: |
|
635 | for thisPath in pathList: | |
| 636 |
|
636 | |||
| 637 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
637 | fileList = glob.glob1(thisPath, "*%s" %ext) | |
| 638 | fileList.sort() |
|
638 | fileList.sort() | |
| 639 |
|
639 | |||
| 640 | skippedFileList = [] |
|
640 | skippedFileList = [] | |
| 641 |
|
641 | |||
| 642 | if cursor is not None and skip is not None: |
|
642 | if cursor is not None and skip is not None: | |
| 643 |
|
643 | |||
| 644 | if skip == 0: |
|
644 | if skip == 0: | |
| 645 | skippedFileList = [] |
|
645 | skippedFileList = [] | |
| 646 | else: |
|
646 | else: | |
| 647 | skippedFileList = fileList[cursor*skip: cursor*skip + skip] |
|
647 | skippedFileList = fileList[cursor*skip: cursor*skip + skip] | |
| 648 |
|
648 | |||
| 649 | else: |
|
649 | else: | |
| 650 | skippedFileList = fileList |
|
650 | skippedFileList = fileList | |
| 651 |
|
651 | |||
| 652 | for file in skippedFileList: |
|
652 | for file in skippedFileList: | |
| 653 |
|
653 | |||
| 654 | filename = os.path.join(thisPath,file) |
|
654 | filename = os.path.join(thisPath,file) | |
| 655 |
|
655 | |||
| 656 | if not isFileInDateRange(filename, startDate, endDate): |
|
656 | if not isFileInDateRange(filename, startDate, endDate): | |
| 657 | continue |
|
657 | continue | |
| 658 |
|
658 | |||
| 659 | thisDatetime = isFileInTimeRange(filename, startDate, endDate, startTime, endTime) |
|
659 | thisDatetime = isFileInTimeRange(filename, startDate, endDate, startTime, endTime) | |
| 660 |
|
660 | |||
| 661 | if not(thisDatetime): |
|
661 | if not(thisDatetime): | |
| 662 | continue |
|
662 | continue | |
| 663 |
|
663 | |||
| 664 | filenameList.append(filename) |
|
664 | filenameList.append(filename) | |
| 665 | datetimeList.append(thisDatetime) |
|
665 | datetimeList.append(thisDatetime) | |
| 666 |
|
666 | |||
| 667 | if not(filenameList): |
|
667 | if not(filenameList): | |
| 668 | print "[Reading] Time range selected invalid [%s - %s]: No *%s files in %s)" %(startTime, endTime, ext, path) |
|
668 | print "[Reading] Time range selected invalid [%s - %s]: No *%s files in %s)" %(startTime, endTime, ext, path) | |
| 669 | return [], [] |
|
669 | return [], [] | |
| 670 |
|
670 | |||
| 671 | print "[Reading] %d file(s) was(were) found in time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
671 | print "[Reading] %d file(s) was(were) found in time range: %s - %s" %(len(filenameList), startTime, endTime) | |
| 672 |
|
672 | |||
| 673 |
|
673 | |||
| 674 | # for i in range(len(filenameList)): |
|
674 | # for i in range(len(filenameList)): | |
| 675 | # print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
675 | # print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) | |
| 676 |
|
676 | |||
| 677 | self.filenameList = filenameList |
|
677 | self.filenameList = filenameList | |
| 678 | self.datetimeList = datetimeList |
|
678 | self.datetimeList = datetimeList | |
| 679 |
|
679 | |||
| 680 | return pathList, filenameList |
|
680 | return pathList, filenameList | |
| 681 |
|
681 | |||
| 682 | def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None): |
|
682 | def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None): | |
| 683 |
|
683 | |||
| 684 | """ |
|
684 | """ | |
| 685 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
685 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y | |
| 686 | devuelve el archivo encontrado ademas de otros datos. |
|
686 | devuelve el archivo encontrado ademas de otros datos. | |
| 687 |
|
687 | |||
| 688 | Input: |
|
688 | Input: | |
| 689 | path : carpeta donde estan contenidos los files que contiene data |
|
689 | path : carpeta donde estan contenidos los files que contiene data | |
| 690 |
|
690 | |||
| 691 | expLabel : Nombre del subexperimento (subfolder) |
|
691 | expLabel : Nombre del subexperimento (subfolder) | |
| 692 |
|
692 | |||
| 693 | ext : extension de los files |
|
693 | ext : extension de los files | |
| 694 |
|
694 | |||
| 695 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
695 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) | |
| 696 |
|
696 | |||
| 697 | Return: |
|
697 | Return: | |
| 698 | directory : eL directorio donde esta el file encontrado |
|
698 | directory : eL directorio donde esta el file encontrado | |
| 699 | filename : el ultimo file de una determinada carpeta |
|
699 | filename : el ultimo file de una determinada carpeta | |
| 700 | year : el anho |
|
700 | year : el anho | |
| 701 | doy : el numero de dia del anho |
|
701 | doy : el numero de dia del anho | |
| 702 | set : el set del archivo |
|
702 | set : el set del archivo | |
| 703 |
|
703 | |||
| 704 |
|
704 | |||
| 705 | """ |
|
705 | """ | |
| 706 | if not os.path.isdir(path): |
|
706 | if not os.path.isdir(path): | |
| 707 | return None, None, None, None, None, None |
|
707 | return None, None, None, None, None, None | |
| 708 |
|
708 | |||
| 709 | dirList = [] |
|
709 | dirList = [] | |
| 710 |
|
710 | |||
| 711 | if not walk: |
|
711 | if not walk: | |
| 712 | fullpath = path |
|
712 | fullpath = path | |
| 713 | foldercounter = 0 |
|
713 | foldercounter = 0 | |
| 714 | else: |
|
714 | else: | |
| 715 | #Filtra solo los directorios |
|
715 | #Filtra solo los directorios | |
| 716 | for thisPath in os.listdir(path): |
|
716 | for thisPath in os.listdir(path): | |
| 717 | if not os.path.isdir(os.path.join(path,thisPath)): |
|
717 | if not os.path.isdir(os.path.join(path,thisPath)): | |
| 718 | continue |
|
718 | continue | |
| 719 | if not isRadarFolder(thisPath): |
|
719 | if not isRadarFolder(thisPath): | |
| 720 | continue |
|
720 | continue | |
| 721 |
|
721 | |||
| 722 | dirList.append(thisPath) |
|
722 | dirList.append(thisPath) | |
| 723 |
|
723 | |||
| 724 | if not(dirList): |
|
724 | if not(dirList): | |
| 725 | return None, None, None, None, None, None |
|
725 | return None, None, None, None, None, None | |
| 726 |
|
726 | |||
| 727 | dirList = sorted( dirList, key=str.lower ) |
|
727 | dirList = sorted( dirList, key=str.lower ) | |
| 728 |
|
728 | |||
| 729 | doypath = dirList[-1] |
|
729 | doypath = dirList[-1] | |
| 730 | foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0 |
|
730 | foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0 | |
| 731 | fullpath = os.path.join(path, doypath, expLabel) |
|
731 | fullpath = os.path.join(path, doypath, expLabel) | |
| 732 |
|
732 | |||
| 733 |
|
733 | |||
| 734 | print "[Reading] %s folder was found: " %(fullpath ) |
|
734 | print "[Reading] %s folder was found: " %(fullpath ) | |
| 735 |
|
735 | |||
| 736 | if set == None: |
|
736 | if set == None: | |
| 737 | filename = getlastFileFromPath(fullpath, ext) |
|
737 | filename = getlastFileFromPath(fullpath, ext) | |
| 738 | else: |
|
738 | else: | |
| 739 | filename = getFileFromSet(fullpath, ext, set) |
|
739 | filename = getFileFromSet(fullpath, ext, set) | |
| 740 |
|
740 | |||
| 741 | if not(filename): |
|
741 | if not(filename): | |
| 742 | return None, None, None, None, None, None |
|
742 | return None, None, None, None, None, None | |
| 743 |
|
743 | |||
| 744 | print "[Reading] %s file was found" %(filename) |
|
744 | print "[Reading] %s file was found" %(filename) | |
| 745 |
|
745 | |||
| 746 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
746 | if not(self.__verifyFile(os.path.join(fullpath, filename))): | |
| 747 | return None, None, None, None, None, None |
|
747 | return None, None, None, None, None, None | |
| 748 |
|
748 | |||
| 749 | year = int( filename[1:5] ) |
|
749 | year = int( filename[1:5] ) | |
| 750 | doy = int( filename[5:8] ) |
|
750 | doy = int( filename[5:8] ) | |
| 751 | set = int( filename[8:11] ) |
|
751 | set = int( filename[8:11] ) | |
| 752 |
|
752 | |||
| 753 | return fullpath, foldercounter, filename, year, doy, set |
|
753 | return fullpath, foldercounter, filename, year, doy, set | |
| 754 |
|
754 | |||
| 755 | def __setNextFileOffline(self): |
|
755 | def __setNextFileOffline(self): | |
| 756 |
|
756 | |||
| 757 | idFile = self.fileIndex |
|
757 | idFile = self.fileIndex | |
| 758 |
|
758 | |||
| 759 | while (True): |
|
759 | while (True): | |
| 760 | idFile += 1 |
|
760 | idFile += 1 | |
| 761 | if not(idFile < len(self.filenameList)): |
|
761 | if not(idFile < len(self.filenameList)): | |
| 762 | self.flagNoMoreFiles = 1 |
|
762 | self.flagNoMoreFiles = 1 | |
| 763 | # print "[Reading] No more Files" |
|
763 | # print "[Reading] No more Files" | |
| 764 | return 0 |
|
764 | return 0 | |
| 765 |
|
765 | |||
| 766 | filename = self.filenameList[idFile] |
|
766 | filename = self.filenameList[idFile] | |
| 767 |
|
767 | |||
| 768 | if not(self.__verifyFile(filename)): |
|
768 | if not(self.__verifyFile(filename)): | |
| 769 | continue |
|
769 | continue | |
| 770 |
|
770 | |||
| 771 | fileSize = os.path.getsize(filename) |
|
771 | fileSize = os.path.getsize(filename) | |
| 772 | fp = open(filename,'rb') |
|
772 | fp = open(filename,'rb') | |
| 773 | break |
|
773 | break | |
| 774 |
|
774 | |||
| 775 | self.flagIsNewFile = 1 |
|
775 | self.flagIsNewFile = 1 | |
| 776 | self.fileIndex = idFile |
|
776 | self.fileIndex = idFile | |
| 777 | self.filename = filename |
|
777 | self.filename = filename | |
| 778 | self.fileSize = fileSize |
|
778 | self.fileSize = fileSize | |
| 779 | self.fp = fp |
|
779 | self.fp = fp | |
| 780 |
|
780 | |||
| 781 | # print "[Reading] Setting the file: %s"%self.filename |
|
781 | # print "[Reading] Setting the file: %s"%self.filename | |
| 782 |
|
782 | |||
| 783 | return 1 |
|
783 | return 1 | |
| 784 |
|
784 | |||
| 785 | def __setNextFileOnline(self): |
|
785 | def __setNextFileOnline(self): | |
| 786 | """ |
|
786 | """ | |
| 787 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
787 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si | |
| 788 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
788 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files | |
| 789 | siguientes. |
|
789 | siguientes. | |
| 790 |
|
790 | |||
| 791 | Affected: |
|
791 | Affected: | |
| 792 | self.flagIsNewFile |
|
792 | self.flagIsNewFile | |
| 793 | self.filename |
|
793 | self.filename | |
| 794 | self.fileSize |
|
794 | self.fileSize | |
| 795 | self.fp |
|
795 | self.fp | |
| 796 | self.set |
|
796 | self.set | |
| 797 | self.flagNoMoreFiles |
|
797 | self.flagNoMoreFiles | |
| 798 |
|
798 | |||
| 799 | Return: |
|
799 | Return: | |
| 800 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
800 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado | |
| 801 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
801 | 1 : si el file fue abierto con exito y esta listo a ser leido | |
| 802 |
|
802 | |||
| 803 | Excepciones: |
|
803 | Excepciones: | |
| 804 | Si un determinado file no puede ser abierto |
|
804 | Si un determinado file no puede ser abierto | |
| 805 | """ |
|
805 | """ | |
| 806 | nFiles = 0 |
|
806 | nFiles = 0 | |
| 807 | fileOk_flag = False |
|
807 | fileOk_flag = False | |
| 808 | firstTime_flag = True |
|
808 | firstTime_flag = True | |
| 809 |
|
809 | |||
| 810 | self.set += 1 |
|
810 | self.set += 1 | |
| 811 |
|
811 | |||
| 812 | if self.set > 999: |
|
812 | if self.set > 999: | |
| 813 | self.set = 0 |
|
813 | self.set = 0 | |
| 814 | self.foldercounter += 1 |
|
814 | self.foldercounter += 1 | |
| 815 |
|
815 | |||
| 816 | #busca el 1er file disponible |
|
816 | #busca el 1er file disponible | |
| 817 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
817 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) | |
| 818 | if fullfilename: |
|
818 | if fullfilename: | |
| 819 | if self.__verifyFile(fullfilename, False): |
|
819 | if self.__verifyFile(fullfilename, False): | |
| 820 | fileOk_flag = True |
|
820 | fileOk_flag = True | |
| 821 |
|
821 | |||
| 822 | #si no encuentra un file entonces espera y vuelve a buscar |
|
822 | #si no encuentra un file entonces espera y vuelve a buscar | |
| 823 | if not(fileOk_flag): |
|
823 | if not(fileOk_flag): | |
| 824 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
824 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles | |
| 825 |
|
825 | |||
| 826 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
826 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces | |
| 827 | tries = self.nTries |
|
827 | tries = self.nTries | |
| 828 | else: |
|
828 | else: | |
| 829 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
829 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez | |
| 830 |
|
830 | |||
| 831 | for nTries in range( tries ): |
|
831 | for nTries in range( tries ): | |
| 832 | if firstTime_flag: |
|
832 | if firstTime_flag: | |
| 833 | print "\t[Reading] Waiting %0.2f sec for the next file: \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
833 | print "\t[Reading] Waiting %0.2f sec for the next file: \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) | |
| 834 | sleep( self.delay ) |
|
834 | sleep( self.delay ) | |
| 835 | else: |
|
835 | else: | |
| 836 | print "\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
836 | print "\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) | |
| 837 |
|
837 | |||
| 838 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
838 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) | |
| 839 | if fullfilename: |
|
839 | if fullfilename: | |
| 840 | if self.__verifyFile(fullfilename): |
|
840 | if self.__verifyFile(fullfilename): | |
| 841 | fileOk_flag = True |
|
841 | fileOk_flag = True | |
| 842 | break |
|
842 | break | |
| 843 |
|
843 | |||
| 844 | if fileOk_flag: |
|
844 | if fileOk_flag: | |
| 845 | break |
|
845 | break | |
| 846 |
|
846 | |||
| 847 | firstTime_flag = False |
|
847 | firstTime_flag = False | |
| 848 |
|
848 | |||
| 849 | print "\t[Reading] Skipping the file \"%s\" due to this file doesn't exist" % filename |
|
849 | print "\t[Reading] Skipping the file \"%s\" due to this file doesn't exist" % filename | |
| 850 | self.set += 1 |
|
850 | self.set += 1 | |
| 851 |
|
851 | |||
| 852 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
852 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta | |
| 853 | self.set = 0 |
|
853 | self.set = 0 | |
| 854 | self.doy += 1 |
|
854 | self.doy += 1 | |
| 855 | self.foldercounter = 0 |
|
855 | self.foldercounter = 0 | |
| 856 |
|
856 | |||
| 857 | if fileOk_flag: |
|
857 | if fileOk_flag: | |
| 858 | self.fileSize = os.path.getsize( fullfilename ) |
|
858 | self.fileSize = os.path.getsize( fullfilename ) | |
| 859 | self.filename = fullfilename |
|
859 | self.filename = fullfilename | |
| 860 | self.flagIsNewFile = 1 |
|
860 | self.flagIsNewFile = 1 | |
| 861 | if self.fp != None: self.fp.close() |
|
861 | if self.fp != None: self.fp.close() | |
| 862 | self.fp = open(fullfilename, 'rb') |
|
862 | self.fp = open(fullfilename, 'rb') | |
| 863 | self.flagNoMoreFiles = 0 |
|
863 | self.flagNoMoreFiles = 0 | |
| 864 | # print '[Reading] Setting the file: %s' % fullfilename |
|
864 | # print '[Reading] Setting the file: %s' % fullfilename | |
| 865 | else: |
|
865 | else: | |
| 866 | self.fileSize = 0 |
|
866 | self.fileSize = 0 | |
| 867 | self.filename = None |
|
867 | self.filename = None | |
| 868 | self.flagIsNewFile = 0 |
|
868 | self.flagIsNewFile = 0 | |
| 869 | self.fp = None |
|
869 | self.fp = None | |
| 870 | self.flagNoMoreFiles = 1 |
|
870 | self.flagNoMoreFiles = 1 | |
| 871 | # print '[Reading] No more files to read' |
|
871 | # print '[Reading] No more files to read' | |
| 872 |
|
872 | |||
| 873 | return fileOk_flag |
|
873 | return fileOk_flag | |
| 874 |
|
874 | |||
| 875 | def setNextFile(self): |
|
875 | def setNextFile(self): | |
| 876 | if self.fp != None: |
|
876 | if self.fp != None: | |
| 877 | self.fp.close() |
|
877 | self.fp.close() | |
| 878 |
|
878 | |||
| 879 | if self.online: |
|
879 | if self.online: | |
| 880 | newFile = self.__setNextFileOnline() |
|
880 | newFile = self.__setNextFileOnline() | |
| 881 | else: |
|
881 | else: | |
| 882 | newFile = self.__setNextFileOffline() |
|
882 | newFile = self.__setNextFileOffline() | |
| 883 |
|
883 | |||
| 884 | if not(newFile): |
|
884 | if not(newFile): | |
| 885 | print '[Reading] No more files to read' |
|
885 | print '[Reading] No more files to read' | |
| 886 | return 0 |
|
886 | return 0 | |
| 887 |
|
887 | |||
| 888 | if self.verbose: |
|
888 | if self.verbose: | |
| 889 | print '[Reading] Setting the file: %s' % self.filename |
|
889 | print '[Reading] Setting the file: %s' % self.filename | |
| 890 |
|
890 | |||
| 891 | self.__readFirstHeader() |
|
891 | self.__readFirstHeader() | |
| 892 | self.nReadBlocks = 0 |
|
892 | self.nReadBlocks = 0 | |
| 893 | return 1 |
|
893 | return 1 | |
| 894 |
|
894 | |||
| 895 | def __waitNewBlock(self): |
|
895 | def __waitNewBlock(self): | |
| 896 | """ |
|
896 | """ | |
| 897 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
897 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. | |
| 898 |
|
898 | |||
| 899 | Si el modo de lectura es OffLine siempre retorn 0 |
|
899 | Si el modo de lectura es OffLine siempre retorn 0 | |
| 900 | """ |
|
900 | """ | |
| 901 | if not self.online: |
|
901 | if not self.online: | |
| 902 | return 0 |
|
902 | return 0 | |
| 903 |
|
903 | |||
| 904 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
904 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): | |
| 905 | return 0 |
|
905 | return 0 | |
| 906 |
|
906 | |||
| 907 | currentPointer = self.fp.tell() |
|
907 | currentPointer = self.fp.tell() | |
| 908 |
|
908 | |||
| 909 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
909 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize | |
| 910 |
|
910 | |||
| 911 | for nTries in range( self.nTries ): |
|
911 | for nTries in range( self.nTries ): | |
| 912 |
|
912 | |||
| 913 | self.fp.close() |
|
913 | self.fp.close() | |
| 914 | self.fp = open( self.filename, 'rb' ) |
|
914 | self.fp = open( self.filename, 'rb' ) | |
| 915 | self.fp.seek( currentPointer ) |
|
915 | self.fp.seek( currentPointer ) | |
| 916 |
|
916 | |||
| 917 | self.fileSize = os.path.getsize( self.filename ) |
|
917 | self.fileSize = os.path.getsize( self.filename ) | |
| 918 | currentSize = self.fileSize - currentPointer |
|
918 | currentSize = self.fileSize - currentPointer | |
| 919 |
|
919 | |||
| 920 | if ( currentSize >= neededSize ): |
|
920 | if ( currentSize >= neededSize ): | |
| 921 | self.basicHeaderObj.read(self.fp) |
|
921 | self.basicHeaderObj.read(self.fp) | |
| 922 | return 1 |
|
922 | return 1 | |
| 923 |
|
923 | |||
| 924 | if self.fileSize == self.fileSizeByHeader: |
|
924 | if self.fileSize == self.fileSizeByHeader: | |
| 925 | # self.flagEoF = True |
|
925 | # self.flagEoF = True | |
| 926 | return 0 |
|
926 | return 0 | |
| 927 |
|
927 | |||
| 928 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
928 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) | |
| 929 | sleep( self.delay ) |
|
929 | sleep( self.delay ) | |
| 930 |
|
930 | |||
| 931 |
|
931 | |||
| 932 | return 0 |
|
932 | return 0 | |
| 933 |
|
933 | |||
| 934 | def waitDataBlock(self,pointer_location): |
|
934 | def waitDataBlock(self,pointer_location): | |
| 935 |
|
935 | |||
| 936 | currentPointer = pointer_location |
|
936 | currentPointer = pointer_location | |
| 937 |
|
937 | |||
| 938 | neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize |
|
938 | neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize | |
| 939 |
|
939 | |||
| 940 | for nTries in range( self.nTries ): |
|
940 | for nTries in range( self.nTries ): | |
| 941 | self.fp.close() |
|
941 | self.fp.close() | |
| 942 | self.fp = open( self.filename, 'rb' ) |
|
942 | self.fp = open( self.filename, 'rb' ) | |
| 943 | self.fp.seek( currentPointer ) |
|
943 | self.fp.seek( currentPointer ) | |
| 944 |
|
944 | |||
| 945 | self.fileSize = os.path.getsize( self.filename ) |
|
945 | self.fileSize = os.path.getsize( self.filename ) | |
| 946 | currentSize = self.fileSize - currentPointer |
|
946 | currentSize = self.fileSize - currentPointer | |
| 947 |
|
947 | |||
| 948 | if ( currentSize >= neededSize ): |
|
948 | if ( currentSize >= neededSize ): | |
| 949 | return 1 |
|
949 | return 1 | |
| 950 |
|
950 | |||
| 951 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
951 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) | |
| 952 | sleep( self.delay ) |
|
952 | sleep( self.delay ) | |
| 953 |
|
953 | |||
| 954 | return 0 |
|
954 | return 0 | |
| 955 |
|
955 | |||
| 956 | def __jumpToLastBlock(self): |
|
956 | def __jumpToLastBlock(self): | |
| 957 |
|
957 | |||
| 958 | if not(self.__isFirstTimeOnline): |
|
958 | if not(self.__isFirstTimeOnline): | |
| 959 | return |
|
959 | return | |
| 960 |
|
960 | |||
| 961 | csize = self.fileSize - self.fp.tell() |
|
961 | csize = self.fileSize - self.fp.tell() | |
| 962 | blocksize = self.processingHeaderObj.blockSize |
|
962 | blocksize = self.processingHeaderObj.blockSize | |
| 963 |
|
963 | |||
| 964 | #salta el primer bloque de datos |
|
964 | #salta el primer bloque de datos | |
| 965 | if csize > self.processingHeaderObj.blockSize: |
|
965 | if csize > self.processingHeaderObj.blockSize: | |
| 966 | self.fp.seek(self.fp.tell() + blocksize) |
|
966 | self.fp.seek(self.fp.tell() + blocksize) | |
| 967 | else: |
|
967 | else: | |
| 968 | return |
|
968 | return | |
| 969 |
|
969 | |||
| 970 | csize = self.fileSize - self.fp.tell() |
|
970 | csize = self.fileSize - self.fp.tell() | |
| 971 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
971 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize | |
| 972 | while True: |
|
972 | while True: | |
| 973 |
|
973 | |||
| 974 | if self.fp.tell()<self.fileSize: |
|
974 | if self.fp.tell()<self.fileSize: | |
| 975 | self.fp.seek(self.fp.tell() + neededsize) |
|
975 | self.fp.seek(self.fp.tell() + neededsize) | |
| 976 | else: |
|
976 | else: | |
| 977 | self.fp.seek(self.fp.tell() - neededsize) |
|
977 | self.fp.seek(self.fp.tell() - neededsize) | |
| 978 | break |
|
978 | break | |
| 979 |
|
979 | |||
| 980 | # csize = self.fileSize - self.fp.tell() |
|
980 | # csize = self.fileSize - self.fp.tell() | |
| 981 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
981 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize | |
| 982 | # factor = int(csize/neededsize) |
|
982 | # factor = int(csize/neededsize) | |
| 983 | # if factor > 0: |
|
983 | # if factor > 0: | |
| 984 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
984 | # self.fp.seek(self.fp.tell() + factor*neededsize) | |
| 985 |
|
985 | |||
| 986 | self.flagIsNewFile = 0 |
|
986 | self.flagIsNewFile = 0 | |
| 987 | self.__isFirstTimeOnline = 0 |
|
987 | self.__isFirstTimeOnline = 0 | |
| 988 |
|
988 | |||
| 989 | def __setNewBlock(self): |
|
989 | def __setNewBlock(self): | |
| 990 | #if self.server is None: |
|
990 | #if self.server is None: | |
| 991 | if self.fp == None: |
|
991 | if self.fp == None: | |
| 992 | return 0 |
|
992 | return 0 | |
| 993 |
|
993 | |||
| 994 | # if self.online: |
|
994 | # if self.online: | |
| 995 | # self.__jumpToLastBlock() |
|
995 | # self.__jumpToLastBlock() | |
| 996 |
|
996 | |||
| 997 | if self.flagIsNewFile: |
|
997 | if self.flagIsNewFile: | |
| 998 | self.lastUTTime = self.basicHeaderObj.utc |
|
998 | self.lastUTTime = self.basicHeaderObj.utc | |
| 999 | return 1 |
|
999 | return 1 | |
| 1000 |
|
1000 | |||
| 1001 | if self.realtime: |
|
1001 | if self.realtime: | |
| 1002 | self.flagDiscontinuousBlock = 1 |
|
1002 | self.flagDiscontinuousBlock = 1 | |
| 1003 | if not(self.setNextFile()): |
|
1003 | if not(self.setNextFile()): | |
| 1004 | return 0 |
|
1004 | return 0 | |
| 1005 | else: |
|
1005 | else: | |
| 1006 | return 1 |
|
1006 | return 1 | |
| 1007 | #if self.server is None: |
|
1007 | #if self.server is None: | |
| 1008 | currentSize = self.fileSize - self.fp.tell() |
|
1008 | currentSize = self.fileSize - self.fp.tell() | |
| 1009 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
1009 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize | |
| 1010 | if (currentSize >= neededSize): |
|
1010 | if (currentSize >= neededSize): | |
| 1011 | self.basicHeaderObj.read(self.fp) |
|
1011 | self.basicHeaderObj.read(self.fp) | |
| 1012 | self.lastUTTime = self.basicHeaderObj.utc |
|
1012 | self.lastUTTime = self.basicHeaderObj.utc | |
| 1013 | return 1 |
|
1013 | return 1 | |
| 1014 | # else: |
|
1014 | # else: | |
| 1015 | # self.basicHeaderObj.read(self.zHeader) |
|
1015 | # self.basicHeaderObj.read(self.zHeader) | |
| 1016 | # self.lastUTTime = self.basicHeaderObj.utc |
|
1016 | # self.lastUTTime = self.basicHeaderObj.utc | |
| 1017 | # return 1 |
|
1017 | # return 1 | |
| 1018 | if self.__waitNewBlock(): |
|
1018 | if self.__waitNewBlock(): | |
| 1019 | self.lastUTTime = self.basicHeaderObj.utc |
|
1019 | self.lastUTTime = self.basicHeaderObj.utc | |
| 1020 | return 1 |
|
1020 | return 1 | |
| 1021 | #if self.server is None: |
|
1021 | #if self.server is None: | |
| 1022 | if not(self.setNextFile()): |
|
1022 | if not(self.setNextFile()): | |
| 1023 | return 0 |
|
1023 | return 0 | |
| 1024 |
|
1024 | |||
| 1025 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
1025 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # | |
| 1026 | self.lastUTTime = self.basicHeaderObj.utc |
|
1026 | self.lastUTTime = self.basicHeaderObj.utc | |
| 1027 |
|
1027 | |||
| 1028 | self.flagDiscontinuousBlock = 0 |
|
1028 | self.flagDiscontinuousBlock = 0 | |
| 1029 |
|
1029 | |||
| 1030 | if deltaTime > self.maxTimeStep: |
|
1030 | if deltaTime > self.maxTimeStep: | |
| 1031 | self.flagDiscontinuousBlock = 1 |
|
1031 | self.flagDiscontinuousBlock = 1 | |
| 1032 |
|
1032 | |||
| 1033 | return 1 |
|
1033 | return 1 | |
| 1034 |
|
1034 | |||
| 1035 | def readNextBlock(self): |
|
1035 | def readNextBlock(self): | |
| 1036 |
|
1036 | |||
| 1037 | #Skip block out of startTime and endTime |
|
1037 | #Skip block out of startTime and endTime | |
| 1038 | while True: |
|
1038 | while True: | |
| 1039 | if not(self.__setNewBlock()): |
|
1039 | if not(self.__setNewBlock()): | |
| 1040 | return 0 |
|
1040 | return 0 | |
| 1041 |
|
1041 | |||
| 1042 | if not(self.readBlock()): |
|
1042 | if not(self.readBlock()): | |
| 1043 | return 0 |
|
1043 | return 0 | |
| 1044 |
|
1044 | |||
| 1045 | self.getBasicHeader() |
|
1045 | self.getBasicHeader() | |
| 1046 |
|
1046 | |||
| 1047 | if not isTimeInRange(self.dataOut.datatime.time(), self.startTime, self.endTime): |
|
1047 | if not isTimeInRange(self.dataOut.datatime.time(), self.startTime, self.endTime): | |
| 1048 |
|
1048 | |||
| 1049 | print "[Reading] Block No. %d/%d -> %s [Skipping]" %(self.nReadBlocks, |
|
1049 | print "[Reading] Block No. %d/%d -> %s [Skipping]" %(self.nReadBlocks, | |
| 1050 | self.processingHeaderObj.dataBlocksPerFile, |
|
1050 | self.processingHeaderObj.dataBlocksPerFile, | |
| 1051 | self.dataOut.datatime.ctime()) |
|
1051 | self.dataOut.datatime.ctime()) | |
| 1052 | continue |
|
1052 | continue | |
| 1053 |
|
1053 | |||
| 1054 | break |
|
1054 | break | |
| 1055 |
|
1055 | |||
| 1056 | if self.verbose: |
|
1056 | if self.verbose: | |
| 1057 | print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, |
|
1057 | print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, | |
| 1058 | self.processingHeaderObj.dataBlocksPerFile, |
|
1058 | self.processingHeaderObj.dataBlocksPerFile, | |
| 1059 | self.dataOut.datatime.ctime()) |
|
1059 | self.dataOut.datatime.ctime()) | |
| 1060 | return 1 |
|
1060 | return 1 | |
| 1061 |
|
1061 | |||
| 1062 | def __readFirstHeader(self): |
|
1062 | def __readFirstHeader(self): | |
| 1063 |
|
1063 | |||
| 1064 | self.basicHeaderObj.read(self.fp) |
|
1064 | self.basicHeaderObj.read(self.fp) | |
| 1065 | self.systemHeaderObj.read(self.fp) |
|
1065 | self.systemHeaderObj.read(self.fp) | |
| 1066 | self.radarControllerHeaderObj.read(self.fp) |
|
1066 | self.radarControllerHeaderObj.read(self.fp) | |
| 1067 | self.processingHeaderObj.read(self.fp) |
|
1067 | self.processingHeaderObj.read(self.fp) | |
| 1068 |
|
1068 | |||
| 1069 | self.firstHeaderSize = self.basicHeaderObj.size |
|
1069 | self.firstHeaderSize = self.basicHeaderObj.size | |
| 1070 |
|
1070 | |||
| 1071 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
1071 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) | |
| 1072 | if datatype == 0: |
|
1072 | if datatype == 0: | |
| 1073 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
1073 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) | |
| 1074 | elif datatype == 1: |
|
1074 | elif datatype == 1: | |
| 1075 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
1075 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) | |
| 1076 | elif datatype == 2: |
|
1076 | elif datatype == 2: | |
| 1077 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
1077 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) | |
| 1078 | elif datatype == 3: |
|
1078 | elif datatype == 3: | |
| 1079 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
1079 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) | |
| 1080 | elif datatype == 4: |
|
1080 | elif datatype == 4: | |
| 1081 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
1081 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
| 1082 | elif datatype == 5: |
|
1082 | elif datatype == 5: | |
| 1083 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
1083 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) | |
| 1084 | else: |
|
1084 | else: | |
| 1085 | raise ValueError, 'Data type was not defined' |
|
1085 | raise ValueError, 'Data type was not defined' | |
| 1086 |
|
1086 | |||
| 1087 | self.dtype = datatype_str |
|
1087 | self.dtype = datatype_str | |
| 1088 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
1088 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c | |
| 1089 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
1089 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) | |
| 1090 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
1090 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) | |
| 1091 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
1091 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) | |
| 1092 | self.getBlockDimension() |
|
1092 | self.getBlockDimension() | |
| 1093 |
|
1093 | |||
| 1094 | def __verifyFile(self, filename, msgFlag=True): |
|
1094 | def __verifyFile(self, filename, msgFlag=True): | |
| 1095 |
|
1095 | |||
| 1096 | msg = None |
|
1096 | msg = None | |
| 1097 |
|
1097 | |||
| 1098 | try: |
|
1098 | try: | |
| 1099 | fp = open(filename, 'rb') |
|
1099 | fp = open(filename, 'rb') | |
| 1100 | except IOError: |
|
1100 | except IOError: | |
| 1101 |
|
1101 | |||
| 1102 | if msgFlag: |
|
1102 | if msgFlag: | |
| 1103 | print "[Reading] File %s can't be opened" % (filename) |
|
1103 | print "[Reading] File %s can't be opened" % (filename) | |
| 1104 |
|
1104 | |||
| 1105 | return False |
|
1105 | return False | |
| 1106 |
|
1106 | |||
| 1107 | currentPosition = fp.tell() |
|
1107 | currentPosition = fp.tell() | |
| 1108 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
1108 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize | |
| 1109 |
|
1109 | |||
| 1110 | if neededSize == 0: |
|
1110 | if neededSize == 0: | |
| 1111 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
1111 | basicHeaderObj = BasicHeader(LOCALTIME) | |
| 1112 | systemHeaderObj = SystemHeader() |
|
1112 | systemHeaderObj = SystemHeader() | |
| 1113 | radarControllerHeaderObj = RadarControllerHeader() |
|
1113 | radarControllerHeaderObj = RadarControllerHeader() | |
| 1114 | processingHeaderObj = ProcessingHeader() |
|
1114 | processingHeaderObj = ProcessingHeader() | |
| 1115 |
|
1115 | |||
| 1116 | if not( basicHeaderObj.read(fp) ): |
|
1116 | if not( basicHeaderObj.read(fp) ): | |
| 1117 | fp.close() |
|
1117 | fp.close() | |
| 1118 | return False |
|
1118 | return False | |
| 1119 |
|
1119 | |||
| 1120 | if not( systemHeaderObj.read(fp) ): |
|
1120 | if not( systemHeaderObj.read(fp) ): | |
| 1121 | fp.close() |
|
1121 | fp.close() | |
| 1122 | return False |
|
1122 | return False | |
| 1123 |
|
1123 | |||
| 1124 | if not( radarControllerHeaderObj.read(fp) ): |
|
1124 | if not( radarControllerHeaderObj.read(fp) ): | |
| 1125 | fp.close() |
|
1125 | fp.close() | |
| 1126 | return False |
|
1126 | return False | |
| 1127 |
|
1127 | |||
| 1128 | if not( processingHeaderObj.read(fp) ): |
|
1128 | if not( processingHeaderObj.read(fp) ): | |
| 1129 | fp.close() |
|
1129 | fp.close() | |
| 1130 | return False |
|
1130 | return False | |
| 1131 |
|
1131 | |||
| 1132 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
1132 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size | |
| 1133 | else: |
|
1133 | else: | |
| 1134 | msg = "[Reading] Skipping the file %s due to it hasn't enough data" %filename |
|
1134 | msg = "[Reading] Skipping the file %s due to it hasn't enough data" %filename | |
| 1135 |
|
1135 | |||
| 1136 | fp.close() |
|
1136 | fp.close() | |
| 1137 |
|
1137 | |||
| 1138 | fileSize = os.path.getsize(filename) |
|
1138 | fileSize = os.path.getsize(filename) | |
| 1139 | currentSize = fileSize - currentPosition |
|
1139 | currentSize = fileSize - currentPosition | |
| 1140 |
|
1140 | |||
| 1141 | if currentSize < neededSize: |
|
1141 | if currentSize < neededSize: | |
| 1142 | if msgFlag and (msg != None): |
|
1142 | if msgFlag and (msg != None): | |
| 1143 | print msg |
|
1143 | print msg | |
| 1144 | return False |
|
1144 | return False | |
| 1145 |
|
1145 | |||
| 1146 | return True |
|
1146 | return True | |
| 1147 |
|
1147 | |||
| 1148 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): |
|
1148 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): | |
| 1149 |
|
1149 | |||
| 1150 | path_empty = True |
|
1150 | path_empty = True | |
| 1151 |
|
1151 | |||
| 1152 | dateList = [] |
|
1152 | dateList = [] | |
| 1153 | pathList = [] |
|
1153 | pathList = [] | |
| 1154 |
|
1154 | |||
| 1155 | multi_path = path.split(',') |
|
1155 | multi_path = path.split(',') | |
| 1156 |
|
1156 | |||
| 1157 | if not walk: |
|
1157 | if not walk: | |
| 1158 |
|
1158 | |||
| 1159 | for single_path in multi_path: |
|
1159 | for single_path in multi_path: | |
| 1160 |
|
1160 | |||
| 1161 | if not os.path.isdir(single_path): |
|
1161 | if not os.path.isdir(single_path): | |
| 1162 | continue |
|
1162 | continue | |
| 1163 |
|
1163 | |||
| 1164 | fileList = glob.glob1(single_path, "*"+ext) |
|
1164 | fileList = glob.glob1(single_path, "*"+ext) | |
| 1165 |
|
1165 | |||
| 1166 | if not fileList: |
|
1166 | if not fileList: | |
| 1167 | continue |
|
1167 | continue | |
| 1168 |
|
1168 | |||
| 1169 | path_empty = False |
|
1169 | path_empty = False | |
| 1170 |
|
1170 | |||
| 1171 | fileList.sort() |
|
1171 | fileList.sort() | |
| 1172 |
|
1172 | |||
| 1173 | for thisFile in fileList: |
|
1173 | for thisFile in fileList: | |
| 1174 |
|
1174 | |||
| 1175 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
1175 | if not os.path.isfile(os.path.join(single_path, thisFile)): | |
| 1176 | continue |
|
1176 | continue | |
| 1177 |
|
1177 | |||
| 1178 | if not isRadarFile(thisFile): |
|
1178 | if not isRadarFile(thisFile): | |
| 1179 | continue |
|
1179 | continue | |
| 1180 |
|
1180 | |||
| 1181 | if not isFileInDateRange(thisFile, startDate, endDate): |
|
1181 | if not isFileInDateRange(thisFile, startDate, endDate): | |
| 1182 | continue |
|
1182 | continue | |
| 1183 |
|
1183 | |||
| 1184 | thisDate = getDateFromRadarFile(thisFile) |
|
1184 | thisDate = getDateFromRadarFile(thisFile) | |
| 1185 |
|
1185 | |||
| 1186 | if thisDate in dateList: |
|
1186 | if thisDate in dateList: | |
| 1187 | continue |
|
1187 | continue | |
| 1188 |
|
1188 | |||
| 1189 | dateList.append(thisDate) |
|
1189 | dateList.append(thisDate) | |
| 1190 | pathList.append(single_path) |
|
1190 | pathList.append(single_path) | |
| 1191 |
|
1191 | |||
| 1192 | else: |
|
1192 | else: | |
| 1193 | for single_path in multi_path: |
|
1193 | for single_path in multi_path: | |
| 1194 |
|
1194 | |||
| 1195 | if not os.path.isdir(single_path): |
|
1195 | if not os.path.isdir(single_path): | |
| 1196 | continue |
|
1196 | continue | |
| 1197 |
|
1197 | |||
| 1198 | dirList = [] |
|
1198 | dirList = [] | |
| 1199 |
|
1199 | |||
| 1200 | for thisPath in os.listdir(single_path): |
|
1200 | for thisPath in os.listdir(single_path): | |
| 1201 |
|
1201 | |||
| 1202 | if not os.path.isdir(os.path.join(single_path,thisPath)): |
|
1202 | if not os.path.isdir(os.path.join(single_path,thisPath)): | |
| 1203 | continue |
|
1203 | continue | |
| 1204 |
|
1204 | |||
| 1205 | if not isRadarFolder(thisPath): |
|
1205 | if not isRadarFolder(thisPath): | |
| 1206 | continue |
|
1206 | continue | |
| 1207 |
|
1207 | |||
| 1208 | if not isFolderInDateRange(thisPath, startDate, endDate): |
|
1208 | if not isFolderInDateRange(thisPath, startDate, endDate): | |
| 1209 | continue |
|
1209 | continue | |
| 1210 |
|
1210 | |||
| 1211 | dirList.append(thisPath) |
|
1211 | dirList.append(thisPath) | |
| 1212 |
|
1212 | |||
| 1213 | if not dirList: |
|
1213 | if not dirList: | |
| 1214 | continue |
|
1214 | continue | |
| 1215 |
|
1215 | |||
| 1216 | dirList.sort() |
|
1216 | dirList.sort() | |
| 1217 |
|
1217 | |||
| 1218 | for thisDir in dirList: |
|
1218 | for thisDir in dirList: | |
| 1219 |
|
1219 | |||
| 1220 | datapath = os.path.join(single_path, thisDir, expLabel) |
|
1220 | datapath = os.path.join(single_path, thisDir, expLabel) | |
| 1221 | fileList = glob.glob1(datapath, "*"+ext) |
|
1221 | fileList = glob.glob1(datapath, "*"+ext) | |
| 1222 |
|
1222 | |||
| 1223 | if not fileList: |
|
1223 | if not fileList: | |
| 1224 | continue |
|
1224 | continue | |
| 1225 |
|
1225 | |||
| 1226 | path_empty = False |
|
1226 | path_empty = False | |
| 1227 |
|
1227 | |||
| 1228 | thisDate = getDateFromRadarFolder(thisDir) |
|
1228 | thisDate = getDateFromRadarFolder(thisDir) | |
| 1229 |
|
1229 | |||
| 1230 | pathList.append(datapath) |
|
1230 | pathList.append(datapath) | |
| 1231 | dateList.append(thisDate) |
|
1231 | dateList.append(thisDate) | |
| 1232 |
|
1232 | |||
| 1233 | dateList.sort() |
|
1233 | dateList.sort() | |
| 1234 |
|
1234 | |||
| 1235 | if walk: |
|
1235 | if walk: | |
| 1236 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) |
|
1236 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) | |
| 1237 | else: |
|
1237 | else: | |
| 1238 | pattern_path = multi_path[0] |
|
1238 | pattern_path = multi_path[0] | |
| 1239 |
|
1239 | |||
| 1240 | if path_empty: |
|
1240 | if path_empty: | |
| 1241 | print "[Reading] No *%s files in %s for %s to %s" %(ext, pattern_path, startDate, endDate) |
|
1241 | print "[Reading] No *%s files in %s for %s to %s" %(ext, pattern_path, startDate, endDate) | |
| 1242 | else: |
|
1242 | else: | |
| 1243 | if not dateList: |
|
1243 | if not dateList: | |
| 1244 | print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path) |
|
1244 | print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path) | |
| 1245 |
|
1245 | |||
| 1246 | if include_path: |
|
1246 | if include_path: | |
| 1247 | return dateList, pathList |
|
1247 | return dateList, pathList | |
| 1248 |
|
1248 | |||
| 1249 | return dateList |
|
1249 | return dateList | |
| 1250 |
|
1250 | |||
| 1251 | def setup(self, |
|
1251 | def setup(self, | |
| 1252 | path=None, |
|
1252 | path=None, | |
| 1253 | startDate=None, |
|
1253 | startDate=None, | |
| 1254 | endDate=None, |
|
1254 | endDate=None, | |
| 1255 | startTime=datetime.time(0,0,0), |
|
1255 | startTime=datetime.time(0,0,0), | |
| 1256 | endTime=datetime.time(23,59,59), |
|
1256 | endTime=datetime.time(23,59,59), | |
| 1257 | set=None, |
|
1257 | set=None, | |
| 1258 | expLabel = "", |
|
1258 | expLabel = "", | |
| 1259 | ext = None, |
|
1259 | ext = None, | |
| 1260 | online = False, |
|
1260 | online = False, | |
| 1261 | delay = 60, |
|
1261 | delay = 60, | |
| 1262 | walk = True, |
|
1262 | walk = True, | |
| 1263 | getblock = False, |
|
1263 | getblock = False, | |
| 1264 | nTxs = 1, |
|
1264 | nTxs = 1, | |
| 1265 | realtime=False, |
|
1265 | realtime=False, | |
| 1266 | blocksize=None, |
|
1266 | blocksize=None, | |
| 1267 | blocktime=None, |
|
1267 | blocktime=None, | |
| 1268 | skip=None, |
|
1268 | skip=None, | |
| 1269 | cursor=None, |
|
1269 | cursor=None, | |
| 1270 | warnings=True, |
|
1270 | warnings=True, | |
| 1271 | verbose=True, |
|
1271 | verbose=True, | |
| 1272 |
server=None |
|
1272 | server=None, | |
|
|
1273 | format=None, | |||
|
|
1274 | oneDDict=None, | |||
|
|
1275 | twoDDict=None, | |||
|
|
1276 | ind2DList=None): | |||
| 1273 | if server is not None: |
|
1277 | if server is not None: | |
| 1274 | if 'tcp://' in server: |
|
1278 | if 'tcp://' in server: | |
| 1275 | address = server |
|
1279 | address = server | |
| 1276 | else: |
|
1280 | else: | |
| 1277 | address = 'ipc:///tmp/%s' % server |
|
1281 | address = 'ipc:///tmp/%s' % server | |
| 1278 | self.server = address |
|
1282 | self.server = address | |
| 1279 | self.context = zmq.Context() |
|
1283 | self.context = zmq.Context() | |
| 1280 | self.receiver = self.context.socket(zmq.PULL) |
|
1284 | self.receiver = self.context.socket(zmq.PULL) | |
| 1281 | self.receiver.connect(self.server) |
|
1285 | self.receiver.connect(self.server) | |
| 1282 | time.sleep(0.5) |
|
1286 | time.sleep(0.5) | |
| 1283 | print '[Starting] ReceiverData from {}'.format(self.server) |
|
1287 | print '[Starting] ReceiverData from {}'.format(self.server) | |
| 1284 | else: |
|
1288 | else: | |
| 1285 | self.server = None |
|
1289 | self.server = None | |
| 1286 | if path == None: |
|
1290 | if path == None: | |
| 1287 | raise ValueError, "[Reading] The path is not valid" |
|
1291 | raise ValueError, "[Reading] The path is not valid" | |
| 1288 |
|
1292 | |||
| 1289 | if ext == None: |
|
1293 | if ext == None: | |
| 1290 | ext = self.ext |
|
1294 | ext = self.ext | |
| 1291 |
|
1295 | |||
| 1292 | if online: |
|
1296 | if online: | |
| 1293 | print "[Reading] Searching files in online mode..." |
|
1297 | print "[Reading] Searching files in online mode..." | |
| 1294 |
|
1298 | |||
| 1295 | for nTries in range( self.nTries ): |
|
1299 | for nTries in range( self.nTries ): | |
| 1296 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
1300 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) | |
| 1297 |
|
1301 | |||
| 1298 | if fullpath: |
|
1302 | if fullpath: | |
| 1299 | break |
|
1303 | break | |
| 1300 |
|
1304 | |||
| 1301 | print '[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
1305 | print '[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) | |
| 1302 | sleep( self.delay ) |
|
1306 | sleep( self.delay ) | |
| 1303 |
|
1307 | |||
| 1304 | if not(fullpath): |
|
1308 | if not(fullpath): | |
| 1305 | print "[Reading] There 'isn't any valid file in %s" % path |
|
1309 | print "[Reading] There 'isn't any valid file in %s" % path | |
| 1306 | return |
|
1310 | return | |
| 1307 |
|
1311 | |||
| 1308 | self.year = year |
|
1312 | self.year = year | |
| 1309 | self.doy = doy |
|
1313 | self.doy = doy | |
| 1310 | self.set = set - 1 |
|
1314 | self.set = set - 1 | |
| 1311 | self.path = path |
|
1315 | self.path = path | |
| 1312 | self.foldercounter = foldercounter |
|
1316 | self.foldercounter = foldercounter | |
| 1313 | last_set = None |
|
1317 | last_set = None | |
| 1314 | else: |
|
1318 | else: | |
| 1315 | print "[Reading] Searching files in offline mode ..." |
|
1319 | print "[Reading] Searching files in offline mode ..." | |
| 1316 | pathList, filenameList = self.searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
1320 | pathList, filenameList = self.searchFilesOffLine(path, startDate=startDate, endDate=endDate, | |
| 1317 | startTime=startTime, endTime=endTime, |
|
1321 | startTime=startTime, endTime=endTime, | |
| 1318 | set=set, expLabel=expLabel, ext=ext, |
|
1322 | set=set, expLabel=expLabel, ext=ext, | |
| 1319 | walk=walk, cursor=cursor, |
|
1323 | walk=walk, cursor=cursor, | |
| 1320 | skip=skip) |
|
1324 | skip=skip) | |
| 1321 |
|
1325 | |||
| 1322 | if not(pathList): |
|
1326 | if not(pathList): | |
| 1323 | self.fileIndex = -1 |
|
1327 | self.fileIndex = -1 | |
| 1324 | self.pathList = [] |
|
1328 | self.pathList = [] | |
| 1325 | self.filenameList = [] |
|
1329 | self.filenameList = [] | |
| 1326 | return |
|
1330 | return | |
| 1327 |
|
1331 | |||
| 1328 | self.fileIndex = -1 |
|
1332 | self.fileIndex = -1 | |
| 1329 | self.pathList = pathList |
|
1333 | self.pathList = pathList | |
| 1330 | self.filenameList = filenameList |
|
1334 | self.filenameList = filenameList | |
| 1331 | file_name = os.path.basename(filenameList[-1]) |
|
1335 | file_name = os.path.basename(filenameList[-1]) | |
| 1332 | basename, ext = os.path.splitext(file_name) |
|
1336 | basename, ext = os.path.splitext(file_name) | |
| 1333 | last_set = int(basename[-3:]) |
|
1337 | last_set = int(basename[-3:]) | |
| 1334 |
|
1338 | |||
| 1335 | self.online = online |
|
1339 | self.online = online | |
| 1336 | self.realtime = realtime |
|
1340 | self.realtime = realtime | |
| 1337 | self.delay = delay |
|
1341 | self.delay = delay | |
| 1338 | ext = ext.lower() |
|
1342 | ext = ext.lower() | |
| 1339 | self.ext = ext |
|
1343 | self.ext = ext | |
| 1340 | self.getByBlock = getblock |
|
1344 | self.getByBlock = getblock | |
| 1341 | self.nTxs = nTxs |
|
1345 | self.nTxs = nTxs | |
| 1342 | self.startTime = startTime |
|
1346 | self.startTime = startTime | |
| 1343 | self.endTime = endTime |
|
1347 | self.endTime = endTime | |
| 1344 |
|
1348 | |||
| 1345 | #Added----------------- |
|
1349 | #Added----------------- | |
| 1346 | self.selBlocksize = blocksize |
|
1350 | self.selBlocksize = blocksize | |
| 1347 | self.selBlocktime = blocktime |
|
1351 | self.selBlocktime = blocktime | |
| 1348 |
|
1352 | |||
| 1349 | # Verbose----------- |
|
1353 | # Verbose----------- | |
| 1350 | self.verbose = verbose |
|
1354 | self.verbose = verbose | |
| 1351 | self.warnings = warnings |
|
1355 | self.warnings = warnings | |
| 1352 |
|
1356 | |||
| 1353 | if not(self.setNextFile()): |
|
1357 | if not(self.setNextFile()): | |
| 1354 | if (startDate!=None) and (endDate!=None): |
|
1358 | if (startDate!=None) and (endDate!=None): | |
| 1355 | print "[Reading] No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
1359 | print "[Reading] No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) | |
| 1356 | elif startDate != None: |
|
1360 | elif startDate != None: | |
| 1357 | print "[Reading] No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
1361 | print "[Reading] No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) | |
| 1358 | else: |
|
1362 | else: | |
| 1359 | print "[Reading] No files" |
|
1363 | print "[Reading] No files" | |
| 1360 |
|
1364 | |||
| 1361 | self.fileIndex = -1 |
|
1365 | self.fileIndex = -1 | |
| 1362 | self.pathList = [] |
|
1366 | self.pathList = [] | |
| 1363 | self.filenameList = [] |
|
1367 | self.filenameList = [] | |
| 1364 | return |
|
1368 | return | |
| 1365 |
|
1369 | |||
| 1366 | # self.getBasicHeader() |
|
1370 | # self.getBasicHeader() | |
| 1367 |
|
1371 | |||
| 1368 | if last_set != None: |
|
1372 | if last_set != None: | |
| 1369 | self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
1373 | self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock | |
| 1370 | return |
|
1374 | return | |
| 1371 |
|
1375 | |||
| 1372 | def getBasicHeader(self): |
|
1376 | def getBasicHeader(self): | |
| 1373 |
|
1377 | |||
| 1374 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
1378 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds | |
| 1375 |
|
1379 | |||
| 1376 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
1380 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock | |
| 1377 |
|
1381 | |||
| 1378 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
1382 | self.dataOut.timeZone = self.basicHeaderObj.timeZone | |
| 1379 |
|
1383 | |||
| 1380 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
1384 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag | |
| 1381 |
|
1385 | |||
| 1382 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
1386 | self.dataOut.errorCount = self.basicHeaderObj.errorCount | |
| 1383 |
|
1387 | |||
| 1384 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
1388 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime | |
| 1385 |
|
1389 | |||
| 1386 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
1390 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs | |
| 1387 |
|
1391 | |||
| 1388 | # self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
1392 | # self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs | |
| 1389 |
|
1393 | |||
| 1390 |
|
1394 | |||
| 1391 | def getFirstHeader(self): |
|
1395 | def getFirstHeader(self): | |
| 1392 |
|
1396 | |||
| 1393 | raise NotImplementedError |
|
1397 | raise NotImplementedError | |
| 1394 |
|
1398 | |||
| 1395 | def getData(self): |
|
1399 | def getData(self): | |
| 1396 |
|
1400 | |||
| 1397 | raise NotImplementedError |
|
1401 | raise NotImplementedError | |
| 1398 |
|
1402 | |||
| 1399 | def hasNotDataInBuffer(self): |
|
1403 | def hasNotDataInBuffer(self): | |
| 1400 |
|
1404 | |||
| 1401 | raise NotImplementedError |
|
1405 | raise NotImplementedError | |
| 1402 |
|
1406 | |||
| 1403 | def readBlock(self): |
|
1407 | def readBlock(self): | |
| 1404 |
|
1408 | |||
| 1405 | raise NotImplementedError |
|
1409 | raise NotImplementedError | |
| 1406 |
|
1410 | |||
| 1407 | def isEndProcess(self): |
|
1411 | def isEndProcess(self): | |
| 1408 |
|
1412 | |||
| 1409 | return self.flagNoMoreFiles |
|
1413 | return self.flagNoMoreFiles | |
| 1410 |
|
1414 | |||
| 1411 | def printReadBlocks(self): |
|
1415 | def printReadBlocks(self): | |
| 1412 |
|
1416 | |||
| 1413 | print "[Reading] Number of read blocks per file %04d" %self.nReadBlocks |
|
1417 | print "[Reading] Number of read blocks per file %04d" %self.nReadBlocks | |
| 1414 |
|
1418 | |||
| 1415 | def printTotalBlocks(self): |
|
1419 | def printTotalBlocks(self): | |
| 1416 |
|
1420 | |||
| 1417 | print "[Reading] Number of read blocks %04d" %self.nTotalBlocks |
|
1421 | print "[Reading] Number of read blocks %04d" %self.nTotalBlocks | |
| 1418 |
|
1422 | |||
| 1419 | def printNumberOfBlock(self): |
|
1423 | def printNumberOfBlock(self): | |
| 1420 | 'SPAM!' |
|
1424 | 'SPAM!' | |
| 1421 |
|
1425 | |||
| 1422 | # if self.flagIsNewBlock: |
|
1426 | # if self.flagIsNewBlock: | |
| 1423 | # print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, |
|
1427 | # print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, | |
| 1424 | # self.processingHeaderObj.dataBlocksPerFile, |
|
1428 | # self.processingHeaderObj.dataBlocksPerFile, | |
| 1425 | # self.dataOut.datatime.ctime()) |
|
1429 | # self.dataOut.datatime.ctime()) | |
| 1426 |
|
1430 | |||
| 1427 | def printInfo(self): |
|
1431 | def printInfo(self): | |
| 1428 |
|
1432 | |||
| 1429 | if self.__printInfo == False: |
|
1433 | if self.__printInfo == False: | |
| 1430 | return |
|
1434 | return | |
| 1431 |
|
1435 | |||
| 1432 | self.basicHeaderObj.printInfo() |
|
1436 | self.basicHeaderObj.printInfo() | |
| 1433 | self.systemHeaderObj.printInfo() |
|
1437 | self.systemHeaderObj.printInfo() | |
| 1434 | self.radarControllerHeaderObj.printInfo() |
|
1438 | self.radarControllerHeaderObj.printInfo() | |
| 1435 | self.processingHeaderObj.printInfo() |
|
1439 | self.processingHeaderObj.printInfo() | |
| 1436 |
|
1440 | |||
| 1437 | self.__printInfo = False |
|
1441 | self.__printInfo = False | |
| 1438 |
|
1442 | |||
| 1439 | def run(self, |
|
1443 | def run(self, | |
| 1440 | path=None, |
|
1444 | path=None, | |
| 1441 | startDate=None, |
|
1445 | startDate=None, | |
| 1442 | endDate=None, |
|
1446 | endDate=None, | |
| 1443 | startTime=datetime.time(0,0,0), |
|
1447 | startTime=datetime.time(0,0,0), | |
| 1444 | endTime=datetime.time(23,59,59), |
|
1448 | endTime=datetime.time(23,59,59), | |
| 1445 | set=None, |
|
1449 | set=None, | |
| 1446 | expLabel = "", |
|
1450 | expLabel = "", | |
| 1447 | ext = None, |
|
1451 | ext = None, | |
| 1448 | online = False, |
|
1452 | online = False, | |
| 1449 | delay = 60, |
|
1453 | delay = 60, | |
| 1450 | walk = True, |
|
1454 | walk = True, | |
| 1451 | getblock = False, |
|
1455 | getblock = False, | |
| 1452 | nTxs = 1, |
|
1456 | nTxs = 1, | |
| 1453 | realtime=False, |
|
1457 | realtime=False, | |
| 1454 | blocksize=None, |
|
1458 | blocksize=None, | |
| 1455 | blocktime=None, |
|
1459 | blocktime=None, | |
| 1456 | skip=None, |
|
1460 | skip=None, | |
| 1457 | cursor=None, |
|
1461 | cursor=None, | |
| 1458 | warnings=True, |
|
1462 | warnings=True, | |
| 1459 | server=None, |
|
1463 | server=None, | |
| 1460 |
verbose=True, |
|
1464 | verbose=True, | |
|
|
1465 | format=None, | |||
|
|
1466 | oneDDict=None, | |||
|
|
1467 | twoDDict=None, | |||
|
|
1468 | ind2DList=None, **kwargs): | |||
| 1461 |
|
1469 | |||
| 1462 | if not(self.isConfig): |
|
1470 | if not(self.isConfig): | |
| 1463 | self.setup(path=path, |
|
1471 | self.setup(path=path, | |
| 1464 | startDate=startDate, |
|
1472 | startDate=startDate, | |
| 1465 | endDate=endDate, |
|
1473 | endDate=endDate, | |
| 1466 | startTime=startTime, |
|
1474 | startTime=startTime, | |
| 1467 | endTime=endTime, |
|
1475 | endTime=endTime, | |
| 1468 | set=set, |
|
1476 | set=set, | |
| 1469 | expLabel=expLabel, |
|
1477 | expLabel=expLabel, | |
| 1470 | ext=ext, |
|
1478 | ext=ext, | |
| 1471 | online=online, |
|
1479 | online=online, | |
| 1472 | delay=delay, |
|
1480 | delay=delay, | |
| 1473 | walk=walk, |
|
1481 | walk=walk, | |
| 1474 | getblock=getblock, |
|
1482 | getblock=getblock, | |
| 1475 | nTxs=nTxs, |
|
1483 | nTxs=nTxs, | |
| 1476 | realtime=realtime, |
|
1484 | realtime=realtime, | |
| 1477 | blocksize=blocksize, |
|
1485 | blocksize=blocksize, | |
| 1478 | blocktime=blocktime, |
|
1486 | blocktime=blocktime, | |
| 1479 | skip=skip, |
|
1487 | skip=skip, | |
| 1480 | cursor=cursor, |
|
1488 | cursor=cursor, | |
| 1481 | warnings=warnings, |
|
1489 | warnings=warnings, | |
| 1482 | server=server, |
|
1490 | server=server, | |
| 1483 |
verbose=verbose |
|
1491 | verbose=verbose, | |
|
|
1492 | format=format, | |||
|
|
1493 | oneDDict=oneDDict, | |||
|
|
1494 | twoDDict=twoDDict, | |||
|
|
1495 | ind2DList=ind2DList) | |||
| 1484 | self.isConfig = True |
|
1496 | self.isConfig = True | |
| 1485 | if server is None: |
|
1497 | if server is None: | |
| 1486 | self.getData() |
|
1498 | self.getData() | |
| 1487 | else: |
|
1499 | else: | |
| 1488 | self.getFromServer() |
|
1500 | self.getFromServer() | |
| 1489 |
|
1501 | |||
| 1490 | class JRODataWriter(JRODataIO): |
|
1502 | class JRODataWriter(JRODataIO): | |
| 1491 |
|
1503 | |||
| 1492 | """ |
|
1504 | """ | |
| 1493 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
1505 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura | |
| 1494 | de los datos siempre se realiza por bloques. |
|
1506 | de los datos siempre se realiza por bloques. | |
| 1495 | """ |
|
1507 | """ | |
| 1496 |
|
1508 | |||
| 1497 | blockIndex = 0 |
|
1509 | blockIndex = 0 | |
| 1498 |
|
1510 | |||
| 1499 | path = None |
|
1511 | path = None | |
| 1500 |
|
1512 | |||
| 1501 | setFile = None |
|
1513 | setFile = None | |
| 1502 |
|
1514 | |||
| 1503 | profilesPerBlock = None |
|
1515 | profilesPerBlock = None | |
| 1504 |
|
1516 | |||
| 1505 | blocksPerFile = None |
|
1517 | blocksPerFile = None | |
| 1506 |
|
1518 | |||
| 1507 | nWriteBlocks = 0 |
|
1519 | nWriteBlocks = 0 | |
| 1508 |
|
1520 | |||
| 1509 | fileDate = None |
|
1521 | fileDate = None | |
| 1510 |
|
1522 | |||
| 1511 | def __init__(self, dataOut=None): |
|
1523 | def __init__(self, dataOut=None): | |
| 1512 | raise NotImplementedError |
|
1524 | raise NotImplementedError | |
| 1513 |
|
1525 | |||
| 1514 |
|
1526 | |||
| 1515 | def hasAllDataInBuffer(self): |
|
1527 | def hasAllDataInBuffer(self): | |
| 1516 | raise NotImplementedError |
|
1528 | raise NotImplementedError | |
| 1517 |
|
1529 | |||
| 1518 |
|
1530 | |||
| 1519 | def setBlockDimension(self): |
|
1531 | def setBlockDimension(self): | |
| 1520 | raise NotImplementedError |
|
1532 | raise NotImplementedError | |
| 1521 |
|
1533 | |||
| 1522 |
|
1534 | |||
| 1523 | def writeBlock(self): |
|
1535 | def writeBlock(self): | |
| 1524 | raise NotImplementedError |
|
1536 | raise NotImplementedError | |
| 1525 |
|
1537 | |||
| 1526 |
|
1538 | |||
| 1527 | def putData(self): |
|
1539 | def putData(self): | |
| 1528 | raise NotImplementedError |
|
1540 | raise NotImplementedError | |
| 1529 |
|
1541 | |||
| 1530 |
|
1542 | |||
| 1531 | def getProcessFlags(self): |
|
1543 | def getProcessFlags(self): | |
| 1532 |
|
1544 | |||
| 1533 | processFlags = 0 |
|
1545 | processFlags = 0 | |
| 1534 |
|
1546 | |||
| 1535 | dtype_index = get_dtype_index(self.dtype) |
|
1547 | dtype_index = get_dtype_index(self.dtype) | |
| 1536 | procflag_dtype = get_procflag_dtype(dtype_index) |
|
1548 | procflag_dtype = get_procflag_dtype(dtype_index) | |
| 1537 |
|
1549 | |||
| 1538 | processFlags += procflag_dtype |
|
1550 | processFlags += procflag_dtype | |
| 1539 |
|
1551 | |||
| 1540 | if self.dataOut.flagDecodeData: |
|
1552 | if self.dataOut.flagDecodeData: | |
| 1541 | processFlags += PROCFLAG.DECODE_DATA |
|
1553 | processFlags += PROCFLAG.DECODE_DATA | |
| 1542 |
|
1554 | |||
| 1543 | if self.dataOut.flagDeflipData: |
|
1555 | if self.dataOut.flagDeflipData: | |
| 1544 | processFlags += PROCFLAG.DEFLIP_DATA |
|
1556 | processFlags += PROCFLAG.DEFLIP_DATA | |
| 1545 |
|
1557 | |||
| 1546 | if self.dataOut.code is not None: |
|
1558 | if self.dataOut.code is not None: | |
| 1547 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
1559 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE | |
| 1548 |
|
1560 | |||
| 1549 | if self.dataOut.nCohInt > 1: |
|
1561 | if self.dataOut.nCohInt > 1: | |
| 1550 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
1562 | processFlags += PROCFLAG.COHERENT_INTEGRATION | |
| 1551 |
|
1563 | |||
| 1552 | if self.dataOut.type == "Spectra": |
|
1564 | if self.dataOut.type == "Spectra": | |
| 1553 | if self.dataOut.nIncohInt > 1: |
|
1565 | if self.dataOut.nIncohInt > 1: | |
| 1554 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
1566 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION | |
| 1555 |
|
1567 | |||
| 1556 | if self.dataOut.data_dc is not None: |
|
1568 | if self.dataOut.data_dc is not None: | |
| 1557 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
1569 | processFlags += PROCFLAG.SAVE_CHANNELS_DC | |
| 1558 |
|
1570 | |||
| 1559 | if self.dataOut.flagShiftFFT: |
|
1571 | if self.dataOut.flagShiftFFT: | |
| 1560 | processFlags += PROCFLAG.SHIFT_FFT_DATA |
|
1572 | processFlags += PROCFLAG.SHIFT_FFT_DATA | |
| 1561 |
|
1573 | |||
| 1562 | return processFlags |
|
1574 | return processFlags | |
| 1563 |
|
1575 | |||
| 1564 | def setBasicHeader(self): |
|
1576 | def setBasicHeader(self): | |
| 1565 |
|
1577 | |||
| 1566 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
1578 | self.basicHeaderObj.size = self.basicHeaderSize #bytes | |
| 1567 | self.basicHeaderObj.version = self.versionFile |
|
1579 | self.basicHeaderObj.version = self.versionFile | |
| 1568 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
1580 | self.basicHeaderObj.dataBlock = self.nTotalBlocks | |
| 1569 |
|
1581 | |||
| 1570 | utc = numpy.floor(self.dataOut.utctime) |
|
1582 | utc = numpy.floor(self.dataOut.utctime) | |
| 1571 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
1583 | milisecond = (self.dataOut.utctime - utc)* 1000.0 | |
| 1572 |
|
1584 | |||
| 1573 | self.basicHeaderObj.utc = utc |
|
1585 | self.basicHeaderObj.utc = utc | |
| 1574 | self.basicHeaderObj.miliSecond = milisecond |
|
1586 | self.basicHeaderObj.miliSecond = milisecond | |
| 1575 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
1587 | self.basicHeaderObj.timeZone = self.dataOut.timeZone | |
| 1576 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
1588 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag | |
| 1577 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
1589 | self.basicHeaderObj.errorCount = self.dataOut.errorCount | |
| 1578 |
|
1590 | |||
| 1579 | def setFirstHeader(self): |
|
1591 | def setFirstHeader(self): | |
| 1580 | """ |
|
1592 | """ | |
| 1581 | Obtiene una copia del First Header |
|
1593 | Obtiene una copia del First Header | |
| 1582 |
|
1594 | |||
| 1583 | Affected: |
|
1595 | Affected: | |
| 1584 |
|
1596 | |||
| 1585 | self.basicHeaderObj |
|
1597 | self.basicHeaderObj | |
| 1586 | self.systemHeaderObj |
|
1598 | self.systemHeaderObj | |
| 1587 | self.radarControllerHeaderObj |
|
1599 | self.radarControllerHeaderObj | |
| 1588 | self.processingHeaderObj self. |
|
1600 | self.processingHeaderObj self. | |
| 1589 |
|
1601 | |||
| 1590 | Return: |
|
1602 | Return: | |
| 1591 | None |
|
1603 | None | |
| 1592 | """ |
|
1604 | """ | |
| 1593 |
|
1605 | |||
| 1594 | raise NotImplementedError |
|
1606 | raise NotImplementedError | |
| 1595 |
|
1607 | |||
| 1596 | def __writeFirstHeader(self): |
|
1608 | def __writeFirstHeader(self): | |
| 1597 | """ |
|
1609 | """ | |
| 1598 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
1610 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) | |
| 1599 |
|
1611 | |||
| 1600 | Affected: |
|
1612 | Affected: | |
| 1601 | __dataType |
|
1613 | __dataType | |
| 1602 |
|
1614 | |||
| 1603 | Return: |
|
1615 | Return: | |
| 1604 | None |
|
1616 | None | |
| 1605 | """ |
|
1617 | """ | |
| 1606 |
|
1618 | |||
| 1607 | # CALCULAR PARAMETROS |
|
1619 | # CALCULAR PARAMETROS | |
| 1608 |
|
1620 | |||
| 1609 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
1621 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size | |
| 1610 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
1622 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader | |
| 1611 |
|
1623 | |||
| 1612 | self.basicHeaderObj.write(self.fp) |
|
1624 | self.basicHeaderObj.write(self.fp) | |
| 1613 | self.systemHeaderObj.write(self.fp) |
|
1625 | self.systemHeaderObj.write(self.fp) | |
| 1614 | self.radarControllerHeaderObj.write(self.fp) |
|
1626 | self.radarControllerHeaderObj.write(self.fp) | |
| 1615 | self.processingHeaderObj.write(self.fp) |
|
1627 | self.processingHeaderObj.write(self.fp) | |
| 1616 |
|
1628 | |||
| 1617 | def __setNewBlock(self): |
|
1629 | def __setNewBlock(self): | |
| 1618 | """ |
|
1630 | """ | |
| 1619 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
1631 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header | |
| 1620 |
|
1632 | |||
| 1621 | Return: |
|
1633 | Return: | |
| 1622 | 0 : si no pudo escribir nada |
|
1634 | 0 : si no pudo escribir nada | |
| 1623 | 1 : Si escribio el Basic el First Header |
|
1635 | 1 : Si escribio el Basic el First Header | |
| 1624 | """ |
|
1636 | """ | |
| 1625 | if self.fp == None: |
|
1637 | if self.fp == None: | |
| 1626 | self.setNextFile() |
|
1638 | self.setNextFile() | |
| 1627 |
|
1639 | |||
| 1628 | if self.flagIsNewFile: |
|
1640 | if self.flagIsNewFile: | |
| 1629 | return 1 |
|
1641 | return 1 | |
| 1630 |
|
1642 | |||
| 1631 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
1643 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: | |
| 1632 | self.basicHeaderObj.write(self.fp) |
|
1644 | self.basicHeaderObj.write(self.fp) | |
| 1633 | return 1 |
|
1645 | return 1 | |
| 1634 |
|
1646 | |||
| 1635 | if not( self.setNextFile() ): |
|
1647 | if not( self.setNextFile() ): | |
| 1636 | return 0 |
|
1648 | return 0 | |
| 1637 |
|
1649 | |||
| 1638 | return 1 |
|
1650 | return 1 | |
| 1639 |
|
1651 | |||
| 1640 |
|
1652 | |||
| 1641 | def writeNextBlock(self): |
|
1653 | def writeNextBlock(self): | |
| 1642 | """ |
|
1654 | """ | |
| 1643 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
1655 | Selecciona el bloque siguiente de datos y los escribe en un file | |
| 1644 |
|
1656 | |||
| 1645 | Return: |
|
1657 | Return: | |
| 1646 | 0 : Si no hizo pudo escribir el bloque de datos |
|
1658 | 0 : Si no hizo pudo escribir el bloque de datos | |
| 1647 | 1 : Si no pudo escribir el bloque de datos |
|
1659 | 1 : Si no pudo escribir el bloque de datos | |
| 1648 | """ |
|
1660 | """ | |
| 1649 | if not( self.__setNewBlock() ): |
|
1661 | if not( self.__setNewBlock() ): | |
| 1650 | return 0 |
|
1662 | return 0 | |
| 1651 |
|
1663 | |||
| 1652 | self.writeBlock() |
|
1664 | self.writeBlock() | |
| 1653 |
|
1665 | |||
| 1654 | print "[Writing] Block No. %d/%d" %(self.blockIndex, |
|
1666 | print "[Writing] Block No. %d/%d" %(self.blockIndex, | |
| 1655 | self.processingHeaderObj.dataBlocksPerFile) |
|
1667 | self.processingHeaderObj.dataBlocksPerFile) | |
| 1656 |
|
1668 | |||
| 1657 | return 1 |
|
1669 | return 1 | |
| 1658 |
|
1670 | |||
| 1659 | def setNextFile(self): |
|
1671 | def setNextFile(self): | |
| 1660 | """ |
|
1672 | """ | |
| 1661 | Determina el siguiente file que sera escrito |
|
1673 | Determina el siguiente file que sera escrito | |
| 1662 |
|
1674 | |||
| 1663 | Affected: |
|
1675 | Affected: | |
| 1664 | self.filename |
|
1676 | self.filename | |
| 1665 | self.subfolder |
|
1677 | self.subfolder | |
| 1666 | self.fp |
|
1678 | self.fp | |
| 1667 | self.setFile |
|
1679 | self.setFile | |
| 1668 | self.flagIsNewFile |
|
1680 | self.flagIsNewFile | |
| 1669 |
|
1681 | |||
| 1670 | Return: |
|
1682 | Return: | |
| 1671 | 0 : Si el archivo no puede ser escrito |
|
1683 | 0 : Si el archivo no puede ser escrito | |
| 1672 | 1 : Si el archivo esta listo para ser escrito |
|
1684 | 1 : Si el archivo esta listo para ser escrito | |
| 1673 | """ |
|
1685 | """ | |
| 1674 | ext = self.ext |
|
1686 | ext = self.ext | |
| 1675 | path = self.path |
|
1687 | path = self.path | |
| 1676 |
|
1688 | |||
| 1677 | if self.fp != None: |
|
1689 | if self.fp != None: | |
| 1678 | self.fp.close() |
|
1690 | self.fp.close() | |
| 1679 |
|
1691 | |||
| 1680 | timeTuple = time.localtime( self.dataOut.utctime) |
|
1692 | timeTuple = time.localtime( self.dataOut.utctime) | |
| 1681 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
1693 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) | |
| 1682 |
|
1694 | |||
| 1683 | fullpath = os.path.join( path, subfolder ) |
|
1695 | fullpath = os.path.join( path, subfolder ) | |
| 1684 | setFile = self.setFile |
|
1696 | setFile = self.setFile | |
| 1685 |
|
1697 | |||
| 1686 | if not( os.path.exists(fullpath) ): |
|
1698 | if not( os.path.exists(fullpath) ): | |
| 1687 | os.mkdir(fullpath) |
|
1699 | os.mkdir(fullpath) | |
| 1688 | setFile = -1 #inicializo mi contador de seteo |
|
1700 | setFile = -1 #inicializo mi contador de seteo | |
| 1689 | else: |
|
1701 | else: | |
| 1690 | filesList = os.listdir( fullpath ) |
|
1702 | filesList = os.listdir( fullpath ) | |
| 1691 | if len( filesList ) > 0: |
|
1703 | if len( filesList ) > 0: | |
| 1692 | filesList = sorted( filesList, key=str.lower ) |
|
1704 | filesList = sorted( filesList, key=str.lower ) | |
| 1693 | filen = filesList[-1] |
|
1705 | filen = filesList[-1] | |
| 1694 | # el filename debera tener el siguiente formato |
|
1706 | # el filename debera tener el siguiente formato | |
| 1695 | # 0 1234 567 89A BCDE (hex) |
|
1707 | # 0 1234 567 89A BCDE (hex) | |
| 1696 | # x YYYY DDD SSS .ext |
|
1708 | # x YYYY DDD SSS .ext | |
| 1697 | if isNumber( filen[8:11] ): |
|
1709 | if isNumber( filen[8:11] ): | |
| 1698 | setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
1710 | setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file | |
| 1699 | else: |
|
1711 | else: | |
| 1700 | setFile = -1 |
|
1712 | setFile = -1 | |
| 1701 | else: |
|
1713 | else: | |
| 1702 | setFile = -1 #inicializo mi contador de seteo |
|
1714 | setFile = -1 #inicializo mi contador de seteo | |
| 1703 |
|
1715 | |||
| 1704 | setFile += 1 |
|
1716 | setFile += 1 | |
| 1705 |
|
1717 | |||
| 1706 | #If this is a new day it resets some values |
|
1718 | #If this is a new day it resets some values | |
| 1707 | if self.dataOut.datatime.date() > self.fileDate: |
|
1719 | if self.dataOut.datatime.date() > self.fileDate: | |
| 1708 | setFile = 0 |
|
1720 | setFile = 0 | |
| 1709 | self.nTotalBlocks = 0 |
|
1721 | self.nTotalBlocks = 0 | |
| 1710 |
|
1722 | |||
| 1711 | filen = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext ) |
|
1723 | filen = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext ) | |
| 1712 |
|
1724 | |||
| 1713 | filename = os.path.join( path, subfolder, filen ) |
|
1725 | filename = os.path.join( path, subfolder, filen ) | |
| 1714 |
|
1726 | |||
| 1715 | fp = open( filename,'wb' ) |
|
1727 | fp = open( filename,'wb' ) | |
| 1716 |
|
1728 | |||
| 1717 | self.blockIndex = 0 |
|
1729 | self.blockIndex = 0 | |
| 1718 |
|
1730 | |||
| 1719 | #guardando atributos |
|
1731 | #guardando atributos | |
| 1720 | self.filename = filename |
|
1732 | self.filename = filename | |
| 1721 | self.subfolder = subfolder |
|
1733 | self.subfolder = subfolder | |
| 1722 | self.fp = fp |
|
1734 | self.fp = fp | |
| 1723 | self.setFile = setFile |
|
1735 | self.setFile = setFile | |
| 1724 | self.flagIsNewFile = 1 |
|
1736 | self.flagIsNewFile = 1 | |
| 1725 | self.fileDate = self.dataOut.datatime.date() |
|
1737 | self.fileDate = self.dataOut.datatime.date() | |
| 1726 |
|
1738 | |||
| 1727 | self.setFirstHeader() |
|
1739 | self.setFirstHeader() | |
| 1728 |
|
1740 | |||
| 1729 | print '[Writing] Opening file: %s'%self.filename |
|
1741 | print '[Writing] Opening file: %s'%self.filename | |
| 1730 |
|
1742 | |||
| 1731 | self.__writeFirstHeader() |
|
1743 | self.__writeFirstHeader() | |
| 1732 |
|
1744 | |||
| 1733 | return 1 |
|
1745 | return 1 | |
| 1734 |
|
1746 | |||
| 1735 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): |
|
1747 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): | |
| 1736 | """ |
|
1748 | """ | |
| 1737 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
1749 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header | |
| 1738 |
|
1750 | |||
| 1739 | Inputs: |
|
1751 | Inputs: | |
| 1740 | path : directory where data will be saved |
|
1752 | path : directory where data will be saved | |
| 1741 | profilesPerBlock : number of profiles per block |
|
1753 | profilesPerBlock : number of profiles per block | |
| 1742 | set : initial file set |
|
1754 | set : initial file set | |
| 1743 | datatype : An integer number that defines data type: |
|
1755 | datatype : An integer number that defines data type: | |
| 1744 | 0 : int8 (1 byte) |
|
1756 | 0 : int8 (1 byte) | |
| 1745 | 1 : int16 (2 bytes) |
|
1757 | 1 : int16 (2 bytes) | |
| 1746 | 2 : int32 (4 bytes) |
|
1758 | 2 : int32 (4 bytes) | |
| 1747 | 3 : int64 (8 bytes) |
|
1759 | 3 : int64 (8 bytes) | |
| 1748 | 4 : float32 (4 bytes) |
|
1760 | 4 : float32 (4 bytes) | |
| 1749 | 5 : double64 (8 bytes) |
|
1761 | 5 : double64 (8 bytes) | |
| 1750 |
|
1762 | |||
| 1751 | Return: |
|
1763 | Return: | |
| 1752 | 0 : Si no realizo un buen seteo |
|
1764 | 0 : Si no realizo un buen seteo | |
| 1753 | 1 : Si realizo un buen seteo |
|
1765 | 1 : Si realizo un buen seteo | |
| 1754 | """ |
|
1766 | """ | |
| 1755 |
|
1767 | |||
| 1756 | if ext == None: |
|
1768 | if ext == None: | |
| 1757 | ext = self.ext |
|
1769 | ext = self.ext | |
| 1758 |
|
1770 | |||
| 1759 | self.ext = ext.lower() |
|
1771 | self.ext = ext.lower() | |
| 1760 |
|
1772 | |||
| 1761 | self.path = path |
|
1773 | self.path = path | |
| 1762 |
|
1774 | |||
| 1763 | if set is None: |
|
1775 | if set is None: | |
| 1764 | self.setFile = -1 |
|
1776 | self.setFile = -1 | |
| 1765 | else: |
|
1777 | else: | |
| 1766 | self.setFile = set - 1 |
|
1778 | self.setFile = set - 1 | |
| 1767 |
|
1779 | |||
| 1768 | self.blocksPerFile = blocksPerFile |
|
1780 | self.blocksPerFile = blocksPerFile | |
| 1769 |
|
1781 | |||
| 1770 | self.profilesPerBlock = profilesPerBlock |
|
1782 | self.profilesPerBlock = profilesPerBlock | |
| 1771 |
|
1783 | |||
| 1772 | self.dataOut = dataOut |
|
1784 | self.dataOut = dataOut | |
| 1773 | self.fileDate = self.dataOut.datatime.date() |
|
1785 | self.fileDate = self.dataOut.datatime.date() | |
| 1774 | #By default |
|
1786 | #By default | |
| 1775 | self.dtype = self.dataOut.dtype |
|
1787 | self.dtype = self.dataOut.dtype | |
| 1776 |
|
1788 | |||
| 1777 | if datatype is not None: |
|
1789 | if datatype is not None: | |
| 1778 | self.dtype = get_numpy_dtype(datatype) |
|
1790 | self.dtype = get_numpy_dtype(datatype) | |
| 1779 |
|
1791 | |||
| 1780 | if not(self.setNextFile()): |
|
1792 | if not(self.setNextFile()): | |
| 1781 | print "[Writing] There isn't a next file" |
|
1793 | print "[Writing] There isn't a next file" | |
| 1782 | return 0 |
|
1794 | return 0 | |
| 1783 |
|
1795 | |||
| 1784 | self.setBlockDimension() |
|
1796 | self.setBlockDimension() | |
| 1785 |
|
1797 | |||
| 1786 | return 1 |
|
1798 | return 1 | |
| 1787 |
|
1799 | |||
| 1788 | def run(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): |
|
1800 | def run(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): | |
| 1789 |
|
1801 | |||
| 1790 | if not(self.isConfig): |
|
1802 | if not(self.isConfig): | |
| 1791 |
|
1803 | |||
| 1792 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, set=set, ext=ext, datatype=datatype, **kwargs) |
|
1804 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, set=set, ext=ext, datatype=datatype, **kwargs) | |
| 1793 | self.isConfig = True |
|
1805 | self.isConfig = True | |
| 1794 |
|
1806 | |||
| 1795 | self.putData() |
|
1807 | self.putData() | |
| @@ -1,243 +1,580 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 | Created on Aug 1, 2017 |
|
2 | Created on Aug 1, 2017 | |
| 3 |
|
3 | |||
| 4 | @author: Juan C. Espinoza |
|
4 | @author: Juan C. Espinoza | |
| 5 | ''' |
|
5 | ''' | |
| 6 |
|
6 | |||
| 7 | import os |
|
7 | import os | |
| 8 | import sys |
|
8 | import sys | |
| 9 | import time |
|
9 | import time | |
| 10 | import json |
|
10 | import json | |
|
|
11 | import glob | |||
| 11 | import datetime |
|
12 | import datetime | |
| 12 |
|
13 | |||
| 13 | import numpy |
|
14 | import numpy | |
|
|
15 | import h5py | |||
| 14 |
|
16 | |||
| 15 | try: |
|
17 | try: | |
| 16 | import madrigal |
|
18 | import madrigal | |
| 17 | import madrigal.cedar |
|
19 | import madrigal.cedar | |
| 18 | except: |
|
20 | except: | |
| 19 | print 'You should install "madrigal library" module if you want to read/write Madrigal data' |
|
21 | print 'You should install "madrigal library" module if you want to read/write Madrigal data' | |
| 20 |
|
22 | |||
| 21 |
from schainpy.model. |
|
23 | from schainpy.model.io.jroIO_base import JRODataReader | |
|
|
24 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation | |||
| 22 | from schainpy.model.data.jrodata import Parameters |
|
25 | from schainpy.model.data.jrodata import Parameters | |
|
|
26 | from schainpy.utils import log | |||
|
|
27 | ||||
| 23 |
|
28 | |||
| 24 | MISSING = -32767 |
|
|||
| 25 | DEF_CATALOG = { |
|
29 | DEF_CATALOG = { | |
| 26 | 'principleInvestigator': 'Marco Milla', |
|
30 | 'principleInvestigator': 'Marco Milla', | |
| 27 | 'expPurpose': None, |
|
31 | 'expPurpose': None, | |
| 28 | 'expMode': None, |
|
32 | 'expMode': None, | |
| 29 | 'cycleTime': None, |
|
33 | 'cycleTime': None, | |
| 30 | 'correlativeExp': None, |
|
34 | 'correlativeExp': None, | |
| 31 | 'sciRemarks': None, |
|
35 | 'sciRemarks': None, | |
| 32 | 'instRemarks': None |
|
36 | 'instRemarks': None | |
| 33 | } |
|
37 | } | |
| 34 | DEF_HEADER = { |
|
38 | DEF_HEADER = { | |
| 35 | 'kindatDesc': None, |
|
39 | 'kindatDesc': None, | |
| 36 | 'analyst': 'Jicamarca User', |
|
40 | 'analyst': 'Jicamarca User', | |
| 37 | 'comments': None, |
|
41 | 'comments': None, | |
| 38 | 'history': None |
|
42 | 'history': None | |
| 39 | } |
|
43 | } | |
| 40 | MNEMONICS = { |
|
44 | MNEMONICS = { | |
| 41 | 10: 'jro', |
|
45 | 10: 'jro', | |
| 42 | 11: 'jbr', |
|
46 | 11: 'jbr', | |
| 43 | 840: 'jul', |
|
47 | 840: 'jul', | |
| 44 | 13: 'jas', |
|
48 | 13: 'jas', | |
| 45 | 1000: 'pbr', |
|
49 | 1000: 'pbr', | |
| 46 | 1001: 'hbr', |
|
50 | 1001: 'hbr', | |
| 47 | 1002: 'obr', |
|
51 | 1002: 'obr', | |
| 48 | } |
|
52 | } | |
| 49 |
|
53 | |||
|
|
54 | UT1970 = datetime.datetime(1970, 1, 1) - datetime.timedelta(seconds=time.timezone) | |||
|
|
55 | ||||
| 50 | def load_json(obj): |
|
56 | def load_json(obj): | |
| 51 | ''' |
|
57 | ''' | |
| 52 | Parse json as string instead of unicode |
|
58 | Parse json as string instead of unicode | |
| 53 | ''' |
|
59 | ''' | |
| 54 |
|
60 | |||
| 55 | if isinstance(obj, str): |
|
61 | if isinstance(obj, str): | |
| 56 |
|
|
62 | iterable = json.loads(obj) | |
|
|
63 | ||||
|
|
64 | if isinstance(iterable, dict): | |||
|
|
65 | return {str(k): load_json(v) if isinstance(v, dict) else str(v) if isinstance(v, unicode) else v | |||
|
|
66 | for k, v in iterable.items()} | |||
|
|
67 | elif isinstance(iterable, (list, tuple)): | |||
|
|
68 | return [str(v) if isinstance(v, unicode) else v for v in iterable] | |||
|
|
69 | ||||
|
|
70 | return iterable | |||
|
|
71 | ||||
|
|
72 | ||||
|
|
73 | class MADReader(JRODataReader, ProcessingUnit): | |||
|
|
74 | ||||
|
|
75 | def __init__(self, **kwargs): | |||
|
|
76 | ||||
|
|
77 | ProcessingUnit.__init__(self, **kwargs) | |||
|
|
78 | ||||
|
|
79 | self.dataOut = Parameters() | |||
|
|
80 | self.counter_records = 0 | |||
|
|
81 | self.nrecords = None | |||
|
|
82 | self.flagNoMoreFiles = 0 | |||
|
|
83 | self.isConfig = False | |||
|
|
84 | self.filename = None | |||
|
|
85 | self.intervals = set() | |||
|
|
86 | ||||
|
|
87 | def setup(self, | |||
|
|
88 | path=None, | |||
|
|
89 | startDate=None, | |||
|
|
90 | endDate=None, | |||
|
|
91 | format=None, | |||
|
|
92 | startTime=datetime.time(0, 0, 0), | |||
|
|
93 | endTime=datetime.time(23, 59, 59), | |||
|
|
94 | **kwargs): | |||
|
|
95 | ||||
|
|
96 | self.started = True | |||
|
|
97 | self.path = path | |||
|
|
98 | self.startDate = startDate | |||
|
|
99 | self.endDate = endDate | |||
|
|
100 | self.startTime = startTime | |||
|
|
101 | self.endTime = endTime | |||
|
|
102 | self.datatime = datetime.datetime(1900,1,1) | |||
|
|
103 | self.oneDDict = load_json(kwargs.get('oneDDict', | |||
|
|
104 | "{\"GDLATR\":\"lat\", \"GDLONR\":\"lon\"}")) | |||
|
|
105 | self.twoDDict = load_json(kwargs.get('twoDDict', | |||
|
|
106 | "{\"GDALT\": \"heightList\"}")) | |||
|
|
107 | self.ind2DList = load_json(kwargs.get('ind2DList', | |||
|
|
108 | "[\"GDALT\"]")) | |||
|
|
109 | if self.path is None: | |||
|
|
110 | raise ValueError, 'The path is not valid' | |||
|
|
111 | ||||
|
|
112 | if format is None: | |||
|
|
113 | raise ValueError, 'The format is not valid choose simple or hdf5' | |||
|
|
114 | elif format.lower() in ('simple', 'txt'): | |||
|
|
115 | self.ext = '.txt' | |||
|
|
116 | elif format.lower() in ('cedar',): | |||
|
|
117 | self.ext = '.001' | |||
|
|
118 | else: | |||
|
|
119 | self.ext = '.hdf5' | |||
|
|
120 | ||||
|
|
121 | self.search_files(self.path) | |||
|
|
122 | self.fileId = 0 | |||
|
|
123 | ||||
|
|
124 | if not self.fileList: | |||
|
|
125 | raise Warning, 'There is no files matching these date in the folder: {}. \n Check startDate and endDate'.format(path) | |||
|
|
126 | ||||
|
|
127 | self.setNextFile() | |||
|
|
128 | ||||
|
|
129 | def search_files(self, path): | |||
|
|
130 | ''' | |||
|
|
131 | Searching for madrigal files in path | |||
|
|
132 | Creating a list of files to procces included in [startDate,endDate] | |||
|
|
133 | ||||
|
|
134 | Input: | |||
|
|
135 | path - Path to find files | |||
|
|
136 | ''' | |||
|
|
137 | ||||
|
|
138 | print 'Searching files {} in {} '.format(self.ext, path) | |||
|
|
139 | foldercounter = 0 | |||
|
|
140 | fileList0 = glob.glob1(path, '*{}'.format(self.ext)) | |||
|
|
141 | fileList0.sort() | |||
|
|
142 | ||||
|
|
143 | self.fileList = [] | |||
|
|
144 | self.dateFileList = [] | |||
| 57 |
|
145 | |||
| 58 | return {str(k): load_json(v) if isinstance(v, dict) else str(v) if isinstance(v, unicode) else v |
|
146 | startDate = self.startDate - datetime.timedelta(1) | |
| 59 | for k, v in obj.items()} |
|
147 | endDate = self.endDate + datetime.timedelta(1) | |
|
|
148 | ||||
|
|
149 | for thisFile in fileList0: | |||
|
|
150 | year = thisFile[3:7] | |||
|
|
151 | if not year.isdigit(): | |||
|
|
152 | continue | |||
|
|
153 | ||||
|
|
154 | month = thisFile[7:9] | |||
|
|
155 | if not month.isdigit(): | |||
|
|
156 | continue | |||
|
|
157 | ||||
|
|
158 | day = thisFile[9:11] | |||
|
|
159 | if not day.isdigit(): | |||
|
|
160 | continue | |||
|
|
161 | ||||
|
|
162 | year, month, day = int(year), int(month), int(day) | |||
|
|
163 | dateFile = datetime.date(year, month, day) | |||
|
|
164 | ||||
|
|
165 | if (startDate > dateFile) or (endDate < dateFile): | |||
|
|
166 | continue | |||
|
|
167 | ||||
|
|
168 | self.fileList.append(thisFile) | |||
|
|
169 | self.dateFileList.append(dateFile) | |||
|
|
170 | ||||
|
|
171 | return | |||
|
|
172 | ||||
|
|
173 | def parseHeader(self): | |||
|
|
174 | ''' | |||
|
|
175 | ''' | |||
|
|
176 | ||||
|
|
177 | self.output = {} | |||
|
|
178 | self.version = '2' | |||
|
|
179 | s_parameters = None | |||
|
|
180 | if self.ext == '.txt': | |||
|
|
181 | self.parameters = [s.strip().lower() for s in self.fp.readline().strip().split(' ') if s] | |||
|
|
182 | elif self.ext == '.hdf5': | |||
|
|
183 | metadata = self.fp['Metadata'] | |||
|
|
184 | data = self.fp['Data']['Array Layout'] | |||
|
|
185 | if 'Independent Spatial Parameters' in metadata: | |||
|
|
186 | s_parameters = [s[0].lower() for s in metadata['Independent Spatial Parameters']] | |||
|
|
187 | self.version = '3' | |||
|
|
188 | one = [s[0].lower() for s in data['1D Parameters']['Data Parameters']] | |||
|
|
189 | one_d = [1 for s in one] | |||
|
|
190 | two = [s[0].lower() for s in data['2D Parameters']['Data Parameters']] | |||
|
|
191 | two_d = [2 for s in two] | |||
|
|
192 | self.parameters = one + two | |||
|
|
193 | self.parameters_d = one_d + two_d | |||
|
|
194 | ||||
|
|
195 | log.success('Parameters found: {}'.format(','.join(self.parameters)), | |||
|
|
196 | 'MADReader') | |||
|
|
197 | if s_parameters: | |||
|
|
198 | log.success('Spatial parameters: {}'.format(','.join(s_parameters)), | |||
|
|
199 | 'MADReader') | |||
|
|
200 | ||||
|
|
201 | for param in self.oneDDict.keys(): | |||
|
|
202 | if param.lower() not in self.parameters: | |||
|
|
203 | print('\x1b[33m[Warning]\x1b[0m Parameter \x1b[1;32m{}\x1b[0m not found will be ignored'.format( | |||
|
|
204 | param | |||
|
|
205 | )) | |||
|
|
206 | self.oneDDict.pop(param, None) | |||
|
|
207 | ||||
|
|
208 | for param, value in self.twoDDict.items(): | |||
|
|
209 | if param.lower() not in self.parameters: | |||
|
|
210 | print('\x1b[33m[Warning]\x1b[0m Parameter \x1b[1;32m{}\x1b[0m not found will be ignored'.format( | |||
|
|
211 | param | |||
|
|
212 | )) | |||
|
|
213 | self.twoDDict.pop(param, None) | |||
|
|
214 | continue | |||
|
|
215 | if isinstance(value, list): | |||
|
|
216 | if value[0] not in self.output: | |||
|
|
217 | self.output[value[0]] = [] | |||
|
|
218 | self.output[value[0]].append(None) | |||
|
|
219 | ||||
|
|
220 | def parseData(self): | |||
|
|
221 | ''' | |||
|
|
222 | ''' | |||
|
|
223 | ||||
|
|
224 | if self.ext == '.txt': | |||
|
|
225 | self.data = numpy.genfromtxt(self.fp, missing_values=('missing')) | |||
|
|
226 | self.nrecords = self.data.shape[0] | |||
|
|
227 | self.ranges = numpy.unique(self.data[:,self.parameters.index(self.ind2DList[0].lower())]) | |||
|
|
228 | elif self.ext == '.hdf5': | |||
|
|
229 | self.data = self.fp['Data']['Array Layout'] | |||
|
|
230 | self.nrecords = len(self.data['timestamps'].value) | |||
|
|
231 | self.ranges = self.data['range'].value | |||
|
|
232 | ||||
|
|
233 | def setNextFile(self): | |||
|
|
234 | ''' | |||
|
|
235 | ''' | |||
|
|
236 | ||||
|
|
237 | file_id = self.fileId | |||
|
|
238 | ||||
|
|
239 | if file_id == len(self.fileList): | |||
|
|
240 | print '\nNo more files in the folder' | |||
|
|
241 | print 'Total number of file(s) read : {}'.format(self.fileId) | |||
|
|
242 | self.flagNoMoreFiles = 1 | |||
|
|
243 | return 0 | |||
|
|
244 | ||||
|
|
245 | print('\x1b[32m[Info]\x1b[0m Opening: {}'.format( | |||
|
|
246 | self.fileList[file_id] | |||
|
|
247 | )) | |||
|
|
248 | filename = os.path.join(self.path, self.fileList[file_id]) | |||
|
|
249 | ||||
|
|
250 | if self.filename is not None: | |||
|
|
251 | self.fp.close() | |||
|
|
252 | ||||
|
|
253 | self.filename = filename | |||
|
|
254 | self.filedate = self.dateFileList[file_id] | |||
|
|
255 | ||||
|
|
256 | if self.ext=='.hdf5': | |||
|
|
257 | self.fp = h5py.File(self.filename, 'r') | |||
|
|
258 | else: | |||
|
|
259 | self.fp = open(self.filename, 'rb') | |||
|
|
260 | ||||
|
|
261 | self.parseHeader() | |||
|
|
262 | self.parseData() | |||
|
|
263 | self.sizeOfFile = os.path.getsize(self.filename) | |||
|
|
264 | self.counter_records = 0 | |||
|
|
265 | self.flagIsNewFile = 0 | |||
|
|
266 | self.fileId += 1 | |||
|
|
267 | ||||
|
|
268 | return 1 | |||
|
|
269 | ||||
|
|
270 | def readNextBlock(self): | |||
|
|
271 | ||||
|
|
272 | while True: | |||
|
|
273 | ||||
|
|
274 | if self.flagIsNewFile: | |||
|
|
275 | if not self.setNextFile(): | |||
|
|
276 | return 0 | |||
|
|
277 | ||||
|
|
278 | self.readBlock() | |||
|
|
279 | ||||
|
|
280 | if (self.datatime < datetime.datetime.combine(self.startDate, self.startTime)) or \ | |||
|
|
281 | (self.datatime > datetime.datetime.combine(self.endDate, self.endTime)): | |||
|
|
282 | print "\x1b[32m[Reading]\x1b[0m Record No. %d/%d -> %s \x1b[33m[Skipping]\x1b[0m" %( | |||
|
|
283 | self.counter_records, | |||
|
|
284 | self.nrecords, | |||
|
|
285 | self.datatime.ctime()) | |||
|
|
286 | continue | |||
|
|
287 | break | |||
|
|
288 | ||||
|
|
289 | print "\x1b[32m[Reading]\x1b[0m Record No. %d/%d -> %s" %( | |||
|
|
290 | self.counter_records, | |||
|
|
291 | self.nrecords, | |||
|
|
292 | self.datatime.ctime()) | |||
|
|
293 | ||||
|
|
294 | return 1 | |||
|
|
295 | ||||
|
|
296 | def readBlock(self): | |||
|
|
297 | ''' | |||
|
|
298 | ''' | |||
|
|
299 | dum = [] | |||
|
|
300 | if self.ext == '.txt': | |||
|
|
301 | dt = self.data[self.counter_records][:6].astype(int) | |||
|
|
302 | self.datatime = datetime.datetime(dt[0], dt[1], dt[2], dt[3], dt[4], dt[5]) | |||
|
|
303 | while True: | |||
|
|
304 | dt = self.data[self.counter_records][:6].astype(int) | |||
|
|
305 | datatime = datetime.datetime(dt[0], dt[1], dt[2], dt[3], dt[4], dt[5]) | |||
|
|
306 | if datatime == self.datatime: | |||
|
|
307 | dum.append(self.data[self.counter_records]) | |||
|
|
308 | self.counter_records += 1 | |||
|
|
309 | if self.counter_records == self.nrecords: | |||
|
|
310 | self.flagIsNewFile = True | |||
|
|
311 | break | |||
|
|
312 | continue | |||
|
|
313 | self.intervals.add((datatime-self.datatime).seconds) | |||
|
|
314 | break | |||
|
|
315 | elif self.ext == '.hdf5': | |||
|
|
316 | datatime = datetime.datetime.utcfromtimestamp( | |||
|
|
317 | self.data['timestamps'][self.counter_records]) | |||
|
|
318 | nHeights = len(self.ranges) | |||
|
|
319 | for n, param in enumerate(self.parameters): | |||
|
|
320 | if self.parameters_d[n] == 1: | |||
|
|
321 | dum.append(numpy.ones(nHeights)*self.data['1D Parameters'][param][self.counter_records]) | |||
|
|
322 | else: | |||
|
|
323 | if self.version == '2': | |||
|
|
324 | dum.append(self.data['2D Parameters'][param][self.counter_records]) | |||
|
|
325 | else: | |||
|
|
326 | tmp = self.data['2D Parameters'][param].value.T | |||
|
|
327 | dum.append(tmp[self.counter_records]) | |||
|
|
328 | self.intervals.add((datatime-self.datatime).seconds) | |||
|
|
329 | self.datatime = datatime | |||
|
|
330 | self.counter_records += 1 | |||
|
|
331 | if self.counter_records == self.nrecords: | |||
|
|
332 | self.flagIsNewFile = True | |||
|
|
333 | ||||
|
|
334 | self.buffer = numpy.array(dum) | |||
|
|
335 | return | |||
|
|
336 | ||||
|
|
337 | def set_output(self): | |||
|
|
338 | ''' | |||
|
|
339 | Storing data from buffer to dataOut object | |||
|
|
340 | ''' | |||
|
|
341 | ||||
|
|
342 | parameters = [None for __ in self.parameters] | |||
|
|
343 | ||||
|
|
344 | for param, attr in self.oneDDict.items(): | |||
|
|
345 | x = self.parameters.index(param.lower()) | |||
|
|
346 | setattr(self.dataOut, attr, self.buffer[0][x]) | |||
|
|
347 | ||||
|
|
348 | for param, value in self.twoDDict.items(): | |||
|
|
349 | x = self.parameters.index(param.lower()) | |||
|
|
350 | if self.ext == '.txt': | |||
|
|
351 | y = self.parameters.index(self.ind2DList[0].lower()) | |||
|
|
352 | ranges = self.buffer[:,y] | |||
|
|
353 | if self.ranges.size == ranges.size: | |||
|
|
354 | continue | |||
|
|
355 | index = numpy.where(numpy.in1d(self.ranges, ranges))[0] | |||
|
|
356 | dummy = numpy.zeros(self.ranges.shape) + numpy.nan | |||
|
|
357 | dummy[index] = self.buffer[:,x] | |||
|
|
358 | else: | |||
|
|
359 | ||||
|
|
360 | dummy = self.buffer[x] | |||
|
|
361 | ||||
|
|
362 | if isinstance(value, str): | |||
|
|
363 | if value not in self.ind2DList: | |||
|
|
364 | setattr(self.dataOut, value, dummy.reshape(1,-1)) | |||
|
|
365 | elif isinstance(value, list): | |||
|
|
366 | self.output[value[0]][value[1]] = dummy | |||
|
|
367 | parameters[value[1]] = param | |||
|
|
368 | ||||
|
|
369 | for key, value in self.output.items(): | |||
|
|
370 | setattr(self.dataOut, key, numpy.array(value)) | |||
|
|
371 | ||||
|
|
372 | self.dataOut.parameters = [s for s in parameters if s] | |||
|
|
373 | self.dataOut.heightList = self.ranges | |||
|
|
374 | self.dataOut.utctime = (self.datatime - UT1970).total_seconds() | |||
|
|
375 | self.dataOut.utctimeInit = self.dataOut.utctime | |||
|
|
376 | self.dataOut.paramInterval = min(self.intervals) | |||
|
|
377 | self.dataOut.useLocalTime = False | |||
|
|
378 | self.dataOut.flagNoData = False | |||
|
|
379 | self.dataOut.started = self.started | |||
|
|
380 | ||||
|
|
381 | def getData(self): | |||
|
|
382 | ''' | |||
|
|
383 | Storing data from databuffer to dataOut object | |||
|
|
384 | ''' | |||
|
|
385 | if self.flagNoMoreFiles: | |||
|
|
386 | self.dataOut.flagNoData = True | |||
|
|
387 | print 'No file left to process' | |||
|
|
388 | return 0 | |||
|
|
389 | ||||
|
|
390 | if not self.readNextBlock(): | |||
|
|
391 | self.dataOut.flagNoData = True | |||
|
|
392 | return 0 | |||
|
|
393 | ||||
|
|
394 | self.set_output() | |||
|
|
395 | ||||
|
|
396 | return 1 | |||
| 60 |
|
397 | |||
| 61 |
|
398 | |||
| 62 | class MAD2Writer(Operation): |
|
399 | class MAD2Writer(Operation): | |
|
|
400 | ||||
|
|
401 | missing = -32767 | |||
|
|
402 | ext = '.dat' | |||
| 63 |
|
403 | |||
| 64 | def __init__(self, **kwargs): |
|
404 | def __init__(self, **kwargs): | |
| 65 |
|
405 | |||
| 66 | Operation.__init__(self, **kwargs) |
|
406 | Operation.__init__(self, **kwargs) | |
| 67 | self.dataOut = Parameters() |
|
407 | self.dataOut = Parameters() | |
| 68 | self.path = None |
|
408 | self.path = None | |
| 69 | self.dataOut = None |
|
409 | self.dataOut = None | |
| 70 | self.ext = '.dat' |
|
|||
| 71 |
|
||||
| 72 | return |
|
|||
| 73 |
|
410 | |||
| 74 |
def run(self, dataOut, path, oneD |
|
411 | def run(self, dataOut, path, oneDDict, ind2DList='[]', twoDDict='{}', metadata='{}', **kwargs): | |
| 75 | ''' |
|
412 | ''' | |
| 76 | Inputs: |
|
413 | Inputs: | |
| 77 | path - path where files will be created |
|
414 | path - path where files will be created | |
| 78 |
oneD |
|
415 | oneDDict - json of one-dimensional parameters in record where keys | |
| 79 | are Madrigal codes (integers or mnemonics) and values the corresponding |
|
416 | are Madrigal codes (integers or mnemonics) and values the corresponding | |
| 80 | dataOut attribute e.g: { |
|
417 | dataOut attribute e.g: { | |
| 81 | 'gdlatr': 'lat', |
|
418 | 'gdlatr': 'lat', | |
| 82 | 'gdlonr': 'lon', |
|
419 | 'gdlonr': 'lon', | |
| 83 | 'gdlat2':'lat', |
|
420 | 'gdlat2':'lat', | |
| 84 | 'glon2':'lon'} |
|
421 | 'glon2':'lon'} | |
| 85 | twoDParam - independent parameter to get the number of rows e.g: |
|
422 | ind2DList - list of independent spatial two-dimensional parameters e.g: | |
| 86 | heighList |
|
423 | ['heighList'] | |
| 87 |
twoD |
|
424 | twoDDict - json of two-dimensional parameters in record where keys | |
| 88 | are Madrigal codes (integers or mnemonics) and values the corresponding |
|
425 | are Madrigal codes (integers or mnemonics) and values the corresponding | |
| 89 | dataOut attribute if multidimensional array specify as tupple |
|
426 | dataOut attribute if multidimensional array specify as tupple | |
| 90 | ('attr', pos) e.g: { |
|
427 | ('attr', pos) e.g: { | |
| 91 | 'gdalt': 'heightList', |
|
428 | 'gdalt': 'heightList', | |
| 92 | 'vn1p2': ('data_output', 0), |
|
429 | 'vn1p2': ('data_output', 0), | |
| 93 | 'vn2p2': ('data_output', 1), |
|
430 | 'vn2p2': ('data_output', 1), | |
| 94 | 'vn3': ('data_output', 2), |
|
431 | 'vn3': ('data_output', 2), | |
| 95 | 'snl': ('data_SNR', 'db') |
|
432 | 'snl': ('data_SNR', 'db') | |
| 96 | } |
|
433 | } | |
| 97 | metadata - json of madrigal metadata (kinst, kindat, catalog and header) |
|
434 | metadata - json of madrigal metadata (kinst, kindat, catalog and header) | |
| 98 | ''' |
|
435 | ''' | |
| 99 | if not self.isConfig: |
|
436 | if not self.isConfig: | |
| 100 |
self.setup(dataOut, path, oneD |
|
437 | self.setup(dataOut, path, oneDDict, ind2DList, twoDDict, metadata, **kwargs) | |
| 101 | self.isConfig = True |
|
438 | self.isConfig = True | |
| 102 |
|
439 | |||
| 103 | self.putData() |
|
440 | self.putData() | |
| 104 | return |
|
441 | return | |
| 105 |
|
442 | |||
| 106 |
def setup(self, dataOut, path, oneD |
|
443 | def setup(self, dataOut, path, oneDDict, ind2DList, twoDDict, metadata, **kwargs): | |
| 107 | ''' |
|
444 | ''' | |
| 108 | Configure Operation |
|
445 | Configure Operation | |
| 109 | ''' |
|
446 | ''' | |
| 110 |
|
447 | |||
| 111 | self.dataOut = dataOut |
|
448 | self.dataOut = dataOut | |
| 112 | self.nmodes = self.dataOut.nmodes |
|
449 | self.nmodes = self.dataOut.nmodes | |
| 113 | self.path = path |
|
450 | self.path = path | |
| 114 | self.blocks = kwargs.get('blocks', None) |
|
451 | self.blocks = kwargs.get('blocks', None) | |
| 115 | self.counter = 0 |
|
452 | self.counter = 0 | |
| 116 |
self.oneD |
|
453 | self.oneDDict = load_json(oneDDict) | |
| 117 |
self.twoD |
|
454 | self.twoDDict = load_json(twoDDict) | |
| 118 | self.twoDParam = twoDParam |
|
455 | self.ind2DList = load_json(ind2DList) | |
| 119 | meta = load_json(metadata) |
|
456 | meta = load_json(metadata) | |
| 120 | self.kinst = meta.get('kinst') |
|
457 | self.kinst = meta.get('kinst') | |
| 121 | self.kindat = meta.get('kindat') |
|
458 | self.kindat = meta.get('kindat') | |
| 122 | self.catalog = meta.get('catalog', DEF_CATALOG) |
|
459 | self.catalog = meta.get('catalog', DEF_CATALOG) | |
| 123 | self.header = meta.get('header', DEF_HEADER) |
|
460 | self.header = meta.get('header', DEF_HEADER) | |
| 124 |
|
461 | |||
| 125 | return |
|
462 | return | |
| 126 |
|
463 | |||
| 127 | def setFile(self): |
|
464 | def setFile(self): | |
| 128 | ''' |
|
465 | ''' | |
| 129 | Create new cedar file object |
|
466 | Create new cedar file object | |
| 130 | ''' |
|
467 | ''' | |
| 131 |
|
468 | |||
| 132 | self.mnemonic = MNEMONICS[self.kinst] #TODO get mnemonic from madrigal |
|
469 | self.mnemonic = MNEMONICS[self.kinst] #TODO get mnemonic from madrigal | |
| 133 | date = datetime.datetime.utcfromtimestamp(self.dataOut.utctime) |
|
470 | date = datetime.datetime.utcfromtimestamp(self.dataOut.utctime) | |
| 134 |
|
471 | |||
| 135 | filename = '%s%s_%s%s' % (self.mnemonic, |
|
472 | filename = '%s%s_%s%s' % (self.mnemonic, | |
| 136 | date.strftime('%Y%m%d_%H%M%S'), |
|
473 | date.strftime('%Y%m%d_%H%M%S'), | |
| 137 | self.dataOut.mode, |
|
474 | self.dataOut.mode, | |
| 138 | self.ext) |
|
475 | self.ext) | |
| 139 |
|
476 | |||
| 140 | self.fullname = os.path.join(self.path, filename) |
|
477 | self.fullname = os.path.join(self.path, filename) | |
| 141 |
|
478 | |||
| 142 | if os.path.isfile(self.fullname) : |
|
479 | if os.path.isfile(self.fullname) : | |
| 143 | print "Destination path '%s' already exists. Previous file deleted. " %self.fullname |
|
480 | print "Destination path '%s' already exists. Previous file deleted. " %self.fullname | |
| 144 | os.remove(self.fullname) |
|
481 | os.remove(self.fullname) | |
| 145 |
|
482 | |||
| 146 | try: |
|
483 | try: | |
| 147 | print '[Writing] creating file : %s' % (self.fullname) |
|
484 | print '[Writing] creating file : %s' % (self.fullname) | |
| 148 | self.cedarObj = madrigal.cedar.MadrigalCedarFile(self.fullname, True) |
|
485 | self.cedarObj = madrigal.cedar.MadrigalCedarFile(self.fullname, True) | |
| 149 | except ValueError, e: |
|
486 | except ValueError, e: | |
| 150 | print '[Error]: Impossible to create a cedar object with "madrigal.cedar.MadrigalCedarFile" ' |
|
487 | print '[Error]: Impossible to create a cedar object with "madrigal.cedar.MadrigalCedarFile" ' | |
| 151 | return |
|
488 | return | |
| 152 |
|
489 | |||
| 153 | return 1 |
|
490 | return 1 | |
| 154 |
|
491 | |||
| 155 | def writeBlock(self): |
|
492 | def writeBlock(self): | |
| 156 | ''' |
|
493 | ''' | |
| 157 |
Add data records to cedar file taking data from oneD |
|
494 | Add data records to cedar file taking data from oneDDict and twoDDict | |
| 158 | attributes. |
|
495 | attributes. | |
| 159 | Allowed parameters in: parcodes.tab |
|
496 | Allowed parameters in: parcodes.tab | |
| 160 | ''' |
|
497 | ''' | |
| 161 |
|
498 | |||
| 162 | startTime = datetime.datetime.utcfromtimestamp(self.dataOut.utctime) |
|
499 | startTime = datetime.datetime.utcfromtimestamp(self.dataOut.utctime) | |
| 163 | endTime = startTime + datetime.timedelta(seconds=self.dataOut.paramInterval) |
|
500 | endTime = startTime + datetime.timedelta(seconds=self.dataOut.paramInterval) | |
| 164 |
nrows = len(getattr(self.dataOut, self. |
|
501 | nrows = len(getattr(self.dataOut, self.ind2DList)) | |
| 165 |
|
502 | |||
| 166 | rec = madrigal.cedar.MadrigalDataRecord( |
|
503 | rec = madrigal.cedar.MadrigalDataRecord( | |
| 167 | self.kinst, |
|
504 | self.kinst, | |
| 168 | self.kindat, |
|
505 | self.kindat, | |
| 169 | startTime.year, |
|
506 | startTime.year, | |
| 170 | startTime.month, |
|
507 | startTime.month, | |
| 171 | startTime.day, |
|
508 | startTime.day, | |
| 172 | startTime.hour, |
|
509 | startTime.hour, | |
| 173 | startTime.minute, |
|
510 | startTime.minute, | |
| 174 | startTime.second, |
|
511 | startTime.second, | |
| 175 | startTime.microsecond/10000, |
|
512 | startTime.microsecond/10000, | |
| 176 | endTime.year, |
|
513 | endTime.year, | |
| 177 | endTime.month, |
|
514 | endTime.month, | |
| 178 | endTime.day, |
|
515 | endTime.day, | |
| 179 | endTime.hour, |
|
516 | endTime.hour, | |
| 180 | endTime.minute, |
|
517 | endTime.minute, | |
| 181 | endTime.second, |
|
518 | endTime.second, | |
| 182 | endTime.microsecond/10000, |
|
519 | endTime.microsecond/10000, | |
| 183 |
self.oneD |
|
520 | self.oneDDict.keys(), | |
| 184 |
self.twoD |
|
521 | self.twoDDict.keys(), | |
| 185 | nrows |
|
522 | nrows | |
| 186 | ) |
|
523 | ) | |
| 187 |
|
524 | |||
| 188 | # Setting 1d values |
|
525 | # Setting 1d values | |
| 189 |
for key in self.oneD |
|
526 | for key in self.oneDDict: | |
| 190 |
rec.set1D(key, getattr(self.dataOut, self.oneD |
|
527 | rec.set1D(key, getattr(self.dataOut, self.oneDDict[key])) | |
| 191 |
|
528 | |||
| 192 | # Setting 2d values |
|
529 | # Setting 2d values | |
| 193 | invalid = numpy.isnan(self.dataOut.data_output) |
|
530 | invalid = numpy.isnan(self.dataOut.data_output) | |
| 194 |
self.dataOut.data_output[invalid] = |
|
531 | self.dataOut.data_output[invalid] = self.missing | |
| 195 | out = {} |
|
532 | out = {} | |
| 196 |
for key, value in self.twoD |
|
533 | for key, value in self.twoDDict.items(): | |
| 197 | if isinstance(value, str): |
|
534 | if isinstance(value, str): | |
| 198 | out[key] = getattr(self.dataOut, value) |
|
535 | out[key] = getattr(self.dataOut, value) | |
| 199 | elif isinstance(value, tuple): |
|
536 | elif isinstance(value, tuple): | |
| 200 | attr, x = value |
|
537 | attr, x = value | |
| 201 | if isinstance(x, (int, float)): |
|
538 | if isinstance(x, (int, float)): | |
| 202 | out[key] = getattr(self.dataOut, attr)[int(x)] |
|
539 | out[key] = getattr(self.dataOut, attr)[int(x)] | |
| 203 | elif x.lower()=='db': |
|
540 | elif x.lower()=='db': | |
| 204 | tmp = getattr(self.dataOut, attr) |
|
541 | tmp = getattr(self.dataOut, attr) | |
| 205 | SNRavg = numpy.average(tmp, axis=0) |
|
542 | SNRavg = numpy.average(tmp, axis=0) | |
| 206 | out[key] = 10*numpy.log10(SNRavg) |
|
543 | out[key] = 10*numpy.log10(SNRavg) | |
| 207 |
|
544 | |||
| 208 | for n in range(nrows): |
|
545 | for n in range(nrows): | |
| 209 | for key in out: |
|
546 | for key in out: | |
| 210 | rec.set2D(key, n, out[key][n]) |
|
547 | rec.set2D(key, n, out[key][n]) | |
| 211 |
|
548 | |||
| 212 | self.cedarObj.append(rec) |
|
549 | self.cedarObj.append(rec) | |
| 213 | self.cedarObj.dump() |
|
550 | self.cedarObj.dump() | |
| 214 | print '[Writing] Record No. {} (mode {}).'.format( |
|
551 | print '[Writing] Record No. {} (mode {}).'.format( | |
| 215 | self.counter, |
|
552 | self.counter, | |
| 216 | self.dataOut.mode |
|
553 | self.dataOut.mode | |
| 217 | ) |
|
554 | ) | |
| 218 |
|
555 | |||
| 219 | def setHeader(self): |
|
556 | def setHeader(self): | |
| 220 | ''' |
|
557 | ''' | |
| 221 | Create an add catalog and header to cedar file |
|
558 | Create an add catalog and header to cedar file | |
| 222 | ''' |
|
559 | ''' | |
| 223 |
|
560 | |||
| 224 | header = madrigal.cedar.CatalogHeaderCreator(self.fullname) |
|
561 | header = madrigal.cedar.CatalogHeaderCreator(self.fullname) | |
| 225 | header.createCatalog(**self.catalog) |
|
562 | header.createCatalog(**self.catalog) | |
| 226 | header.createHeader(**self.header) |
|
563 | header.createHeader(**self.header) | |
| 227 | header.write() |
|
564 | header.write() | |
| 228 |
|
565 | |||
| 229 | def putData(self): |
|
566 | def putData(self): | |
| 230 |
|
567 | |||
| 231 | if self.dataOut.flagNoData: |
|
568 | if self.dataOut.flagNoData: | |
| 232 | return 0 |
|
569 | return 0 | |
| 233 |
|
570 | |||
| 234 | if self.counter == 0: |
|
571 | if self.counter == 0: | |
| 235 | self.setFile() |
|
572 | self.setFile() | |
| 236 |
|
573 | |||
| 237 | if self.counter <= self.dataOut.nrecords: |
|
574 | if self.counter <= self.dataOut.nrecords: | |
| 238 | self.writeBlock() |
|
575 | self.writeBlock() | |
| 239 | self.counter += 1 |
|
576 | self.counter += 1 | |
| 240 |
|
577 | |||
| 241 | if self.counter == self.dataOut.nrecords or self.counter == self.blocks: |
|
578 | if self.counter == self.dataOut.nrecords or self.counter == self.blocks: | |
| 242 | self.setHeader() |
|
579 | self.setHeader() | |
| 243 | self.counter = 0 |
|
580 | self.counter = 0 | |
| @@ -1,707 +1,698 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 | Created on Jul 2, 2014 |
|
2 | Created on Jul 2, 2014 | |
| 3 |
|
3 | |||
| 4 | @author: roj-idl71 |
|
4 | @author: roj-idl71 | |
| 5 | ''' |
|
5 | ''' | |
| 6 | import numpy |
|
6 | import numpy | |
| 7 |
|
7 | |||
| 8 | from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
|
8 | from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter | |
| 9 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
9 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation | |
| 10 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
10 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader | |
| 11 | from schainpy.model.data.jrodata import Spectra |
|
11 | from schainpy.model.data.jrodata import Spectra | |
| 12 |
|
12 | |||
| 13 | class SpectraReader(JRODataReader, ProcessingUnit): |
|
13 | class SpectraReader(JRODataReader, ProcessingUnit): | |
| 14 |
|
14 | |||
| 15 | """ |
|
15 | """ | |
| 16 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura |
|
16 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura | |
| 17 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) |
|
17 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) | |
| 18 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. |
|
18 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. | |
| 19 |
|
19 | |||
| 20 | paresCanalesIguales * alturas * perfiles (Self Spectra) |
|
20 | paresCanalesIguales * alturas * perfiles (Self Spectra) | |
| 21 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) |
|
21 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) | |
| 22 | canales * alturas (DC Channels) |
|
22 | canales * alturas (DC Channels) | |
| 23 |
|
23 | |||
| 24 |
|
24 | |||
| 25 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
25 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, | |
| 26 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la |
|
26 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la | |
| 27 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de |
|
27 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de | |
| 28 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
28 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". | |
| 29 |
|
29 | |||
| 30 | Example: |
|
30 | Example: | |
| 31 | dpath = "/home/myuser/data" |
|
31 | dpath = "/home/myuser/data" | |
| 32 |
|
32 | |||
| 33 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
33 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) | |
| 34 |
|
34 | |||
| 35 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
35 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) | |
| 36 |
|
36 | |||
| 37 | readerObj = SpectraReader() |
|
37 | readerObj = SpectraReader() | |
| 38 |
|
38 | |||
| 39 | readerObj.setup(dpath, startTime, endTime) |
|
39 | readerObj.setup(dpath, startTime, endTime) | |
| 40 |
|
40 | |||
| 41 | while(True): |
|
41 | while(True): | |
| 42 |
|
42 | |||
| 43 | readerObj.getData() |
|
43 | readerObj.getData() | |
| 44 |
|
44 | |||
| 45 | print readerObj.data_spc |
|
45 | print readerObj.data_spc | |
| 46 |
|
46 | |||
| 47 | print readerObj.data_cspc |
|
47 | print readerObj.data_cspc | |
| 48 |
|
48 | |||
| 49 | print readerObj.data_dc |
|
49 | print readerObj.data_dc | |
| 50 |
|
50 | |||
| 51 | if readerObj.flagNoMoreFiles: |
|
51 | if readerObj.flagNoMoreFiles: | |
| 52 | break |
|
52 | break | |
| 53 |
|
53 | |||
| 54 | """ |
|
54 | """ | |
| 55 |
|
55 | |||
| 56 | pts2read_SelfSpectra = 0 |
|
56 | pts2read_SelfSpectra = 0 | |
| 57 |
|
57 | |||
| 58 | pts2read_CrossSpectra = 0 |
|
58 | pts2read_CrossSpectra = 0 | |
| 59 |
|
59 | |||
| 60 | pts2read_DCchannels = 0 |
|
60 | pts2read_DCchannels = 0 | |
| 61 |
|
61 | |||
| 62 | ext = ".pdata" |
|
62 | ext = ".pdata" | |
| 63 |
|
63 | |||
| 64 | optchar = "P" |
|
64 | optchar = "P" | |
| 65 |
|
65 | |||
| 66 | dataOut = None |
|
66 | dataOut = None | |
| 67 |
|
67 | |||
| 68 | nRdChannels = None |
|
68 | nRdChannels = None | |
| 69 |
|
69 | |||
| 70 | nRdPairs = None |
|
70 | nRdPairs = None | |
| 71 |
|
71 | |||
| 72 | rdPairList = [] |
|
72 | rdPairList = [] | |
| 73 |
|
73 | |||
| 74 | def __init__(self, **kwargs): |
|
74 | def __init__(self, **kwargs): | |
| 75 | """ |
|
75 | """ | |
| 76 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. |
|
76 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. | |
| 77 |
|
77 | |||
| 78 | Inputs: |
|
78 | Inputs: | |
| 79 |
|
79 | |||
| 80 | dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para |
|
80 | dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para | |
| 81 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
81 | almacenar un perfil de datos cada vez que se haga un requerimiento | |
| 82 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
82 | (getData). El perfil sera obtenido a partir del buffer de datos, | |
| 83 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
83 | si el buffer esta vacio se hara un nuevo proceso de lectura de un | |
| 84 | bloque de datos. |
|
84 | bloque de datos. | |
| 85 | Si este parametro no es pasado se creara uno internamente. |
|
85 | Si este parametro no es pasado se creara uno internamente. | |
| 86 |
|
86 | |||
| 87 |
|
87 | |||
| 88 | Affected: |
|
88 | Affected: | |
| 89 |
|
89 | |||
| 90 | self.dataOut |
|
90 | self.dataOut | |
| 91 |
|
91 | |||
| 92 | Return : None |
|
92 | Return : None | |
| 93 | """ |
|
93 | """ | |
| 94 |
|
94 | |||
| 95 |
|
95 | |||
| 96 | #Eliminar de la base la herencia |
|
96 | #Eliminar de la base la herencia | |
| 97 | ProcessingUnit.__init__(self, **kwargs) |
|
97 | ProcessingUnit.__init__(self, **kwargs) | |
| 98 |
|
98 | |||
| 99 | # self.isConfig = False |
|
99 | # self.isConfig = False | |
| 100 |
|
100 | |||
| 101 | self.pts2read_SelfSpectra = 0 |
|
101 | self.pts2read_SelfSpectra = 0 | |
| 102 |
|
102 | |||
| 103 | self.pts2read_CrossSpectra = 0 |
|
103 | self.pts2read_CrossSpectra = 0 | |
| 104 |
|
104 | |||
| 105 | self.pts2read_DCchannels = 0 |
|
105 | self.pts2read_DCchannels = 0 | |
| 106 |
|
106 | |||
| 107 | self.datablock = None |
|
107 | self.datablock = None | |
| 108 |
|
108 | |||
| 109 | self.utc = None |
|
109 | self.utc = None | |
| 110 |
|
110 | |||
| 111 | self.ext = ".pdata" |
|
111 | self.ext = ".pdata" | |
| 112 |
|
112 | |||
| 113 | self.optchar = "P" |
|
113 | self.optchar = "P" | |
| 114 |
|
114 | |||
| 115 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
115 | self.basicHeaderObj = BasicHeader(LOCALTIME) | |
| 116 |
|
116 | |||
| 117 | self.systemHeaderObj = SystemHeader() |
|
117 | self.systemHeaderObj = SystemHeader() | |
| 118 |
|
118 | |||
| 119 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
119 | self.radarControllerHeaderObj = RadarControllerHeader() | |
| 120 |
|
120 | |||
| 121 | self.processingHeaderObj = ProcessingHeader() |
|
121 | self.processingHeaderObj = ProcessingHeader() | |
| 122 |
|
122 | |||
| 123 | self.online = 0 |
|
123 | self.online = 0 | |
| 124 |
|
124 | |||
| 125 | self.fp = None |
|
125 | self.fp = None | |
| 126 |
|
126 | |||
| 127 | self.idFile = None |
|
127 | self.idFile = None | |
| 128 |
|
128 | |||
| 129 | self.dtype = None |
|
129 | self.dtype = None | |
| 130 |
|
130 | |||
| 131 | self.fileSizeByHeader = None |
|
131 | self.fileSizeByHeader = None | |
| 132 |
|
132 | |||
| 133 | self.filenameList = [] |
|
133 | self.filenameList = [] | |
| 134 |
|
134 | |||
| 135 | self.filename = None |
|
135 | self.filename = None | |
| 136 |
|
136 | |||
| 137 | self.fileSize = None |
|
137 | self.fileSize = None | |
| 138 |
|
138 | |||
| 139 | self.firstHeaderSize = 0 |
|
139 | self.firstHeaderSize = 0 | |
| 140 |
|
140 | |||
| 141 | self.basicHeaderSize = 24 |
|
141 | self.basicHeaderSize = 24 | |
| 142 |
|
142 | |||
| 143 | self.pathList = [] |
|
143 | self.pathList = [] | |
| 144 |
|
144 | |||
| 145 | self.lastUTTime = 0 |
|
145 | self.lastUTTime = 0 | |
| 146 |
|
146 | |||
| 147 | self.maxTimeStep = 30 |
|
147 | self.maxTimeStep = 30 | |
| 148 |
|
148 | |||
| 149 | self.flagNoMoreFiles = 0 |
|
149 | self.flagNoMoreFiles = 0 | |
| 150 |
|
150 | |||
| 151 | self.set = 0 |
|
151 | self.set = 0 | |
| 152 |
|
152 | |||
| 153 | self.path = None |
|
153 | self.path = None | |
| 154 |
|
154 | |||
| 155 | self.delay = 60 #seconds |
|
155 | self.delay = 60 #seconds | |
| 156 |
|
156 | |||
| 157 | self.nTries = 3 #quantity tries |
|
157 | self.nTries = 3 #quantity tries | |
| 158 |
|
158 | |||
| 159 | self.nFiles = 3 #number of files for searching |
|
159 | self.nFiles = 3 #number of files for searching | |
| 160 |
|
160 | |||
| 161 | self.nReadBlocks = 0 |
|
161 | self.nReadBlocks = 0 | |
| 162 |
|
162 | |||
| 163 | self.flagIsNewFile = 1 |
|
163 | self.flagIsNewFile = 1 | |
| 164 |
|
164 | |||
| 165 | self.__isFirstTimeOnline = 1 |
|
165 | self.__isFirstTimeOnline = 1 | |
| 166 |
|
166 | |||
| 167 | # self.ippSeconds = 0 |
|
167 | # self.ippSeconds = 0 | |
| 168 |
|
168 | |||
| 169 | self.flagDiscontinuousBlock = 0 |
|
169 | self.flagDiscontinuousBlock = 0 | |
| 170 |
|
170 | |||
| 171 | self.flagIsNewBlock = 0 |
|
171 | self.flagIsNewBlock = 0 | |
| 172 |
|
172 | |||
| 173 | self.nTotalBlocks = 0 |
|
173 | self.nTotalBlocks = 0 | |
| 174 |
|
174 | |||
| 175 | self.blocksize = 0 |
|
175 | self.blocksize = 0 | |
| 176 |
|
176 | |||
| 177 | self.dataOut = self.createObjByDefault() |
|
177 | self.dataOut = self.createObjByDefault() | |
| 178 |
|
178 | |||
| 179 | self.profileIndex = 1 #Always |
|
179 | self.profileIndex = 1 #Always | |
| 180 |
|
180 | |||
| 181 |
|
181 | |||
| 182 | def createObjByDefault(self): |
|
182 | def createObjByDefault(self): | |
| 183 |
|
183 | |||
| 184 | dataObj = Spectra() |
|
184 | dataObj = Spectra() | |
| 185 |
|
185 | |||
| 186 | return dataObj |
|
186 | return dataObj | |
| 187 |
|
187 | |||
| 188 | def __hasNotDataInBuffer(self): |
|
188 | def __hasNotDataInBuffer(self): | |
| 189 | return 1 |
|
189 | return 1 | |
| 190 |
|
190 | |||
| 191 |
|
191 | |||
| 192 | def getBlockDimension(self): |
|
192 | def getBlockDimension(self): | |
| 193 | """ |
|
193 | """ | |
| 194 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
194 | Obtiene la cantidad de puntos a leer por cada bloque de datos | |
| 195 |
|
195 | |||
| 196 | Affected: |
|
196 | Affected: | |
| 197 | self.nRdChannels |
|
197 | self.nRdChannels | |
| 198 | self.nRdPairs |
|
198 | self.nRdPairs | |
| 199 | self.pts2read_SelfSpectra |
|
199 | self.pts2read_SelfSpectra | |
| 200 | self.pts2read_CrossSpectra |
|
200 | self.pts2read_CrossSpectra | |
| 201 | self.pts2read_DCchannels |
|
201 | self.pts2read_DCchannels | |
| 202 | self.blocksize |
|
202 | self.blocksize | |
| 203 | self.dataOut.nChannels |
|
203 | self.dataOut.nChannels | |
| 204 | self.dataOut.nPairs |
|
204 | self.dataOut.nPairs | |
| 205 |
|
205 | |||
| 206 | Return: |
|
206 | Return: | |
| 207 | None |
|
207 | None | |
| 208 | """ |
|
208 | """ | |
| 209 | self.nRdChannels = 0 |
|
209 | self.nRdChannels = 0 | |
| 210 | self.nRdPairs = 0 |
|
210 | self.nRdPairs = 0 | |
| 211 | self.rdPairList = [] |
|
211 | self.rdPairList = [] | |
| 212 |
|
212 | |||
| 213 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): |
|
213 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): | |
| 214 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: |
|
214 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: | |
| 215 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales |
|
215 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales | |
| 216 |
|
216 | |||
| 217 | else: |
|
217 | else: | |
| 218 | self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes |
|
218 | self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes | |
| 219 | self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1])) |
|
219 | self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1])) | |
| 220 |
|
220 | |||
| 221 | pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock |
|
221 | pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock | |
| 222 |
|
222 | |||
| 223 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) |
|
223 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) | |
| 224 | self.blocksize = self.pts2read_SelfSpectra |
|
224 | self.blocksize = self.pts2read_SelfSpectra | |
| 225 |
|
225 | |||
| 226 | if self.processingHeaderObj.flag_cspc: |
|
226 | if self.processingHeaderObj.flag_cspc: | |
| 227 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) |
|
227 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) | |
| 228 | self.blocksize += self.pts2read_CrossSpectra |
|
228 | self.blocksize += self.pts2read_CrossSpectra | |
| 229 |
|
229 | |||
| 230 | if self.processingHeaderObj.flag_dc: |
|
230 | if self.processingHeaderObj.flag_dc: | |
| 231 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) |
|
231 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) | |
| 232 | self.blocksize += self.pts2read_DCchannels |
|
232 | self.blocksize += self.pts2read_DCchannels | |
| 233 |
|
233 | |||
| 234 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels |
|
234 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels | |
| 235 |
|
235 | |||
| 236 |
|
236 | |||
| 237 | def readBlock(self): |
|
237 | def readBlock(self): | |
| 238 | """ |
|
238 | """ | |
| 239 | Lee el bloque de datos desde la posicion actual del puntero del archivo |
|
239 | Lee el bloque de datos desde la posicion actual del puntero del archivo | |
| 240 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
240 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos | |
| 241 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
241 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer | |
| 242 | es seteado a 0 |
|
242 | es seteado a 0 | |
| 243 |
|
243 | |||
| 244 | Return: None |
|
244 | Return: None | |
| 245 |
|
245 | |||
| 246 | Variables afectadas: |
|
246 | Variables afectadas: | |
| 247 |
|
247 | |||
| 248 |
|
248 | |||
| 249 | self.flagIsNewFile |
|
249 | self.flagIsNewFile | |
| 250 | self.flagIsNewBlock |
|
250 | self.flagIsNewBlock | |
| 251 | self.nTotalBlocks |
|
251 | self.nTotalBlocks | |
| 252 | self.data_spc |
|
252 | self.data_spc | |
| 253 | self.data_cspc |
|
253 | self.data_cspc | |
| 254 | self.data_dc |
|
254 | self.data_dc | |
| 255 |
|
255 | |||
| 256 | Exceptions: |
|
256 | Exceptions: | |
| 257 | Si un bloque leido no es un bloque valido |
|
257 | Si un bloque leido no es un bloque valido | |
| 258 | """ |
|
258 | """ | |
| 259 | print ' ======================================================== ' |
|
|||
| 260 | print ' ' |
|
|||
| 261 | print ' ' |
|
|||
| 262 | print self.processingHeaderObj.totalSpectra, 'TotalSpectra', type(self.processingHeaderObj.totalSpectra) |
|
|||
| 263 | print self.processingHeaderObj.spectraComb, 'SpectraComb', type(self.processingHeaderObj.spectraComb) |
|
|||
| 264 | print ' ' |
|
|||
| 265 | print ' ' |
|
|||
| 266 | print ' ======================================================== ' |
|
|||
| 267 |
|
||||
| 268 |
|
259 | |||
| 269 | blockOk_flag = False |
|
260 | blockOk_flag = False | |
| 270 | fpointer = self.fp.tell() |
|
261 | fpointer = self.fp.tell() | |
| 271 |
|
262 | |||
| 272 | spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra ) |
|
263 | spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra ) | |
| 273 | spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
264 | spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D | |
| 274 |
|
265 | |||
| 275 | if self.processingHeaderObj.flag_cspc: |
|
266 | if self.processingHeaderObj.flag_cspc: | |
| 276 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) |
|
267 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) | |
| 277 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
268 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D | |
| 278 |
|
269 | |||
| 279 | if self.processingHeaderObj.flag_dc: |
|
270 | if self.processingHeaderObj.flag_dc: | |
| 280 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) |
|
271 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) | |
| 281 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D |
|
272 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D | |
| 282 |
|
273 | |||
| 283 |
|
274 | |||
| 284 | if not(self.processingHeaderObj.shif_fft): |
|
275 | if not(self.processingHeaderObj.shif_fft): | |
| 285 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
276 | #desplaza a la derecha en el eje 2 determinadas posiciones | |
| 286 | shift = int(self.processingHeaderObj.profilesPerBlock/2) |
|
277 | shift = int(self.processingHeaderObj.profilesPerBlock/2) | |
| 287 | spc = numpy.roll( spc, shift , axis=2 ) |
|
278 | spc = numpy.roll( spc, shift , axis=2 ) | |
| 288 |
|
279 | |||
| 289 | if self.processingHeaderObj.flag_cspc: |
|
280 | if self.processingHeaderObj.flag_cspc: | |
| 290 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
281 | #desplaza a la derecha en el eje 2 determinadas posiciones | |
| 291 | cspc = numpy.roll( cspc, shift, axis=2 ) |
|
282 | cspc = numpy.roll( cspc, shift, axis=2 ) | |
| 292 |
|
283 | |||
| 293 | #Dimensions : nChannels, nProfiles, nSamples |
|
284 | #Dimensions : nChannels, nProfiles, nSamples | |
| 294 | spc = numpy.transpose( spc, (0,2,1) ) |
|
285 | spc = numpy.transpose( spc, (0,2,1) ) | |
| 295 | self.data_spc = spc |
|
286 | self.data_spc = spc | |
| 296 |
|
287 | |||
| 297 | if self.processingHeaderObj.flag_cspc: |
|
288 | if self.processingHeaderObj.flag_cspc: | |
| 298 |
|
289 | |||
| 299 | cspc = numpy.transpose( cspc, (0,2,1) ) |
|
290 | cspc = numpy.transpose( cspc, (0,2,1) ) | |
| 300 | self.data_cspc = cspc['real'] + cspc['imag']*1j |
|
291 | self.data_cspc = cspc['real'] + cspc['imag']*1j | |
| 301 | else: |
|
292 | else: | |
| 302 | self.data_cspc = None |
|
293 | self.data_cspc = None | |
| 303 |
|
294 | |||
| 304 |
|
295 | |||
| 305 | if self.processingHeaderObj.flag_dc: |
|
296 | if self.processingHeaderObj.flag_dc: | |
| 306 | self.data_dc = dc['real'] + dc['imag']*1j |
|
297 | self.data_dc = dc['real'] + dc['imag']*1j | |
| 307 | else: |
|
298 | else: | |
| 308 | self.data_dc = None |
|
299 | self.data_dc = None | |
| 309 |
|
300 | |||
| 310 | self.flagIsNewFile = 0 |
|
301 | self.flagIsNewFile = 0 | |
| 311 | self.flagIsNewBlock = 1 |
|
302 | self.flagIsNewBlock = 1 | |
| 312 |
|
303 | |||
| 313 | self.nTotalBlocks += 1 |
|
304 | self.nTotalBlocks += 1 | |
| 314 | self.nReadBlocks += 1 |
|
305 | self.nReadBlocks += 1 | |
| 315 |
|
306 | |||
| 316 | return 1 |
|
307 | return 1 | |
| 317 |
|
308 | |||
| 318 | def getFirstHeader(self): |
|
309 | def getFirstHeader(self): | |
| 319 |
|
310 | |||
| 320 | self.getBasicHeader() |
|
311 | self.getBasicHeader() | |
| 321 |
|
312 | |||
| 322 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
313 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() | |
| 323 |
|
314 | |||
| 324 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
315 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() | |
| 325 |
|
316 | |||
| 326 | # self.dataOut.ippSeconds = self.ippSeconds |
|
317 | # self.dataOut.ippSeconds = self.ippSeconds | |
| 327 |
|
318 | |||
| 328 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.processingHeaderObj.profilesPerBlock |
|
319 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.processingHeaderObj.profilesPerBlock | |
| 329 |
|
320 | |||
| 330 | self.dataOut.dtype = self.dtype |
|
321 | self.dataOut.dtype = self.dtype | |
| 331 |
|
322 | |||
| 332 | # self.dataOut.nPairs = self.nPairs |
|
323 | # self.dataOut.nPairs = self.nPairs | |
| 333 |
|
324 | |||
| 334 | self.dataOut.pairsList = self.rdPairList |
|
325 | self.dataOut.pairsList = self.rdPairList | |
| 335 |
|
326 | |||
| 336 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
327 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock | |
| 337 |
|
328 | |||
| 338 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock |
|
329 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock | |
| 339 |
|
330 | |||
| 340 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
331 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt | |
| 341 |
|
332 | |||
| 342 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt |
|
333 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt | |
| 343 |
|
334 | |||
| 344 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
335 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight | |
| 345 |
|
336 | |||
| 346 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
337 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) | |
| 347 |
|
338 | |||
| 348 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
339 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) | |
| 349 |
|
340 | |||
| 350 | self.dataOut.flagShiftFFT = True #Data is always shifted |
|
341 | self.dataOut.flagShiftFFT = True #Data is always shifted | |
| 351 |
|
342 | |||
| 352 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode #asumo q la data no esta decodificada |
|
343 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode #asumo q la data no esta decodificada | |
| 353 |
|
344 | |||
| 354 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip #asumo q la data esta sin flip |
|
345 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip #asumo q la data esta sin flip | |
| 355 |
|
346 | |||
| 356 | def getData(self): |
|
347 | def getData(self): | |
| 357 | """ |
|
348 | """ | |
| 358 | First method to execute before "RUN" is called. |
|
349 | First method to execute before "RUN" is called. | |
| 359 |
|
350 | |||
| 360 | Copia el buffer de lectura a la clase "Spectra", |
|
351 | Copia el buffer de lectura a la clase "Spectra", | |
| 361 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
352 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de | |
| 362 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
353 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" | |
| 363 |
|
354 | |||
| 364 | Return: |
|
355 | Return: | |
| 365 | 0 : Si no hay mas archivos disponibles |
|
356 | 0 : Si no hay mas archivos disponibles | |
| 366 | 1 : Si hizo una buena copia del buffer |
|
357 | 1 : Si hizo una buena copia del buffer | |
| 367 |
|
358 | |||
| 368 | Affected: |
|
359 | Affected: | |
| 369 | self.dataOut |
|
360 | self.dataOut | |
| 370 |
|
361 | |||
| 371 | self.flagDiscontinuousBlock |
|
362 | self.flagDiscontinuousBlock | |
| 372 | self.flagIsNewBlock |
|
363 | self.flagIsNewBlock | |
| 373 | """ |
|
364 | """ | |
| 374 |
|
365 | |||
| 375 | if self.flagNoMoreFiles: |
|
366 | if self.flagNoMoreFiles: | |
| 376 | self.dataOut.flagNoData = True |
|
367 | self.dataOut.flagNoData = True | |
| 377 | print 'Process finished' |
|
368 | print 'Process finished' | |
| 378 | return 0 |
|
369 | return 0 | |
| 379 |
|
370 | |||
| 380 | self.flagDiscontinuousBlock = 0 |
|
371 | self.flagDiscontinuousBlock = 0 | |
| 381 | self.flagIsNewBlock = 0 |
|
372 | self.flagIsNewBlock = 0 | |
| 382 |
|
373 | |||
| 383 | if self.__hasNotDataInBuffer(): |
|
374 | if self.__hasNotDataInBuffer(): | |
| 384 |
|
375 | |||
| 385 | if not( self.readNextBlock() ): |
|
376 | if not( self.readNextBlock() ): | |
| 386 | self.dataOut.flagNoData = True |
|
377 | self.dataOut.flagNoData = True | |
| 387 | return 0 |
|
378 | return 0 | |
| 388 |
|
379 | |||
| 389 |
|
380 | |||
| 390 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
381 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) | |
| 391 |
|
382 | |||
| 392 | if self.data_spc is None: |
|
383 | if self.data_spc is None: | |
| 393 | self.dataOut.flagNoData = True |
|
384 | self.dataOut.flagNoData = True | |
| 394 | return 0 |
|
385 | return 0 | |
| 395 |
|
386 | |||
| 396 | self.getBasicHeader() |
|
387 | self.getBasicHeader() | |
| 397 |
|
388 | |||
| 398 | self.getFirstHeader() |
|
389 | self.getFirstHeader() | |
| 399 |
|
390 | |||
| 400 | self.dataOut.data_spc = self.data_spc |
|
391 | self.dataOut.data_spc = self.data_spc | |
| 401 |
|
392 | |||
| 402 | self.dataOut.data_cspc = self.data_cspc |
|
393 | self.dataOut.data_cspc = self.data_cspc | |
| 403 |
|
394 | |||
| 404 | self.dataOut.data_dc = self.data_dc |
|
395 | self.dataOut.data_dc = self.data_dc | |
| 405 |
|
396 | |||
| 406 | self.dataOut.flagNoData = False |
|
397 | self.dataOut.flagNoData = False | |
| 407 |
|
398 | |||
| 408 | self.dataOut.realtime = self.online |
|
399 | self.dataOut.realtime = self.online | |
| 409 |
|
400 | |||
| 410 | return self.dataOut.data_spc |
|
401 | return self.dataOut.data_spc | |
| 411 |
|
402 | |||
| 412 | class SpectraWriter(JRODataWriter, Operation): |
|
403 | class SpectraWriter(JRODataWriter, Operation): | |
| 413 |
|
404 | |||
| 414 | """ |
|
405 | """ | |
| 415 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura |
|
406 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura | |
| 416 | de los datos siempre se realiza por bloques. |
|
407 | de los datos siempre se realiza por bloques. | |
| 417 | """ |
|
408 | """ | |
| 418 |
|
409 | |||
| 419 | ext = ".pdata" |
|
410 | ext = ".pdata" | |
| 420 |
|
411 | |||
| 421 | optchar = "P" |
|
412 | optchar = "P" | |
| 422 |
|
413 | |||
| 423 | shape_spc_Buffer = None |
|
414 | shape_spc_Buffer = None | |
| 424 |
|
415 | |||
| 425 | shape_cspc_Buffer = None |
|
416 | shape_cspc_Buffer = None | |
| 426 |
|
417 | |||
| 427 | shape_dc_Buffer = None |
|
418 | shape_dc_Buffer = None | |
| 428 |
|
419 | |||
| 429 | data_spc = None |
|
420 | data_spc = None | |
| 430 |
|
421 | |||
| 431 | data_cspc = None |
|
422 | data_cspc = None | |
| 432 |
|
423 | |||
| 433 | data_dc = None |
|
424 | data_dc = None | |
| 434 |
|
425 | |||
| 435 | # dataOut = None |
|
426 | # dataOut = None | |
| 436 |
|
427 | |||
| 437 | def __init__(self): |
|
428 | def __init__(self): | |
| 438 | """ |
|
429 | """ | |
| 439 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. |
|
430 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. | |
| 440 |
|
431 | |||
| 441 | Affected: |
|
432 | Affected: | |
| 442 |
|
433 | |||
| 443 | self.dataOut |
|
434 | self.dataOut | |
| 444 | self.basicHeaderObj |
|
435 | self.basicHeaderObj | |
| 445 | self.systemHeaderObj |
|
436 | self.systemHeaderObj | |
| 446 | self.radarControllerHeaderObj |
|
437 | self.radarControllerHeaderObj | |
| 447 | self.processingHeaderObj |
|
438 | self.processingHeaderObj | |
| 448 |
|
439 | |||
| 449 | Return: None |
|
440 | Return: None | |
| 450 | """ |
|
441 | """ | |
| 451 |
|
442 | |||
| 452 | Operation.__init__(self) |
|
443 | Operation.__init__(self) | |
| 453 |
|
444 | |||
| 454 | self.isConfig = False |
|
445 | self.isConfig = False | |
| 455 |
|
446 | |||
| 456 | self.nTotalBlocks = 0 |
|
447 | self.nTotalBlocks = 0 | |
| 457 |
|
448 | |||
| 458 | self.data_spc = None |
|
449 | self.data_spc = None | |
| 459 |
|
450 | |||
| 460 | self.data_cspc = None |
|
451 | self.data_cspc = None | |
| 461 |
|
452 | |||
| 462 |
|
453 | |||
| 463 | self.data_dc = None |
|
454 | self.data_dc = None | |
| 464 |
|
455 | |||
| 465 | self.fp = None |
|
456 | self.fp = None | |
| 466 |
|
457 | |||
| 467 | self.flagIsNewFile = 1 |
|
458 | self.flagIsNewFile = 1 | |
| 468 |
|
459 | |||
| 469 | self.nTotalBlocks = 0 |
|
460 | self.nTotalBlocks = 0 | |
| 470 |
|
461 | |||
| 471 | self.flagIsNewBlock = 0 |
|
462 | self.flagIsNewBlock = 0 | |
| 472 |
|
463 | |||
| 473 | self.setFile = None |
|
464 | self.setFile = None | |
| 474 |
|
465 | |||
| 475 | self.dtype = None |
|
466 | self.dtype = None | |
| 476 |
|
467 | |||
| 477 | self.path = None |
|
468 | self.path = None | |
| 478 |
|
469 | |||
| 479 | self.noMoreFiles = 0 |
|
470 | self.noMoreFiles = 0 | |
| 480 |
|
471 | |||
| 481 | self.filename = None |
|
472 | self.filename = None | |
| 482 |
|
473 | |||
| 483 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
474 | self.basicHeaderObj = BasicHeader(LOCALTIME) | |
| 484 |
|
475 | |||
| 485 | self.systemHeaderObj = SystemHeader() |
|
476 | self.systemHeaderObj = SystemHeader() | |
| 486 |
|
477 | |||
| 487 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
478 | self.radarControllerHeaderObj = RadarControllerHeader() | |
| 488 |
|
479 | |||
| 489 | self.processingHeaderObj = ProcessingHeader() |
|
480 | self.processingHeaderObj = ProcessingHeader() | |
| 490 |
|
481 | |||
| 491 |
|
482 | |||
| 492 | def hasAllDataInBuffer(self): |
|
483 | def hasAllDataInBuffer(self): | |
| 493 | return 1 |
|
484 | return 1 | |
| 494 |
|
485 | |||
| 495 |
|
486 | |||
| 496 |
|
487 | |||
| 497 | def setBlockDimension(self): |
|
488 | def setBlockDimension(self): | |
| 498 | """ |
|
489 | """ | |
| 499 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
490 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque | |
| 500 |
|
491 | |||
| 501 | Affected: |
|
492 | Affected: | |
| 502 | self.shape_spc_Buffer |
|
493 | self.shape_spc_Buffer | |
| 503 | self.shape_cspc_Buffer |
|
494 | self.shape_cspc_Buffer | |
| 504 | self.shape_dc_Buffer |
|
495 | self.shape_dc_Buffer | |
| 505 |
|
496 | |||
| 506 | Return: None |
|
497 | Return: None | |
| 507 | """ |
|
498 | """ | |
| 508 | self.shape_spc_Buffer = (self.dataOut.nChannels, |
|
499 | self.shape_spc_Buffer = (self.dataOut.nChannels, | |
| 509 | self.processingHeaderObj.nHeights, |
|
500 | self.processingHeaderObj.nHeights, | |
| 510 | self.processingHeaderObj.profilesPerBlock) |
|
501 | self.processingHeaderObj.profilesPerBlock) | |
| 511 |
|
502 | |||
| 512 | self.shape_cspc_Buffer = (self.dataOut.nPairs, |
|
503 | self.shape_cspc_Buffer = (self.dataOut.nPairs, | |
| 513 | self.processingHeaderObj.nHeights, |
|
504 | self.processingHeaderObj.nHeights, | |
| 514 | self.processingHeaderObj.profilesPerBlock) |
|
505 | self.processingHeaderObj.profilesPerBlock) | |
| 515 |
|
506 | |||
| 516 | self.shape_dc_Buffer = (self.dataOut.nChannels, |
|
507 | self.shape_dc_Buffer = (self.dataOut.nChannels, | |
| 517 | self.processingHeaderObj.nHeights) |
|
508 | self.processingHeaderObj.nHeights) | |
| 518 |
|
509 | |||
| 519 |
|
510 | |||
| 520 | def writeBlock(self): |
|
511 | def writeBlock(self): | |
| 521 | """ |
|
512 | """ | |
| 522 | Escribe el buffer en el file designado |
|
513 | Escribe el buffer en el file designado | |
| 523 |
|
514 | |||
| 524 |
|
515 | |||
| 525 | Affected: |
|
516 | Affected: | |
| 526 | self.data_spc |
|
517 | self.data_spc | |
| 527 | self.data_cspc |
|
518 | self.data_cspc | |
| 528 | self.data_dc |
|
519 | self.data_dc | |
| 529 | self.flagIsNewFile |
|
520 | self.flagIsNewFile | |
| 530 | self.flagIsNewBlock |
|
521 | self.flagIsNewBlock | |
| 531 | self.nTotalBlocks |
|
522 | self.nTotalBlocks | |
| 532 | self.nWriteBlocks |
|
523 | self.nWriteBlocks | |
| 533 |
|
524 | |||
| 534 | Return: None |
|
525 | Return: None | |
| 535 | """ |
|
526 | """ | |
| 536 |
|
527 | |||
| 537 | spc = numpy.transpose( self.data_spc, (0,2,1) ) |
|
528 | spc = numpy.transpose( self.data_spc, (0,2,1) ) | |
| 538 | if not( self.processingHeaderObj.shif_fft ): |
|
529 | if not( self.processingHeaderObj.shif_fft ): | |
| 539 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
530 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones | |
| 540 | data = spc.reshape((-1)) |
|
531 | data = spc.reshape((-1)) | |
| 541 | data = data.astype(self.dtype[0]) |
|
532 | data = data.astype(self.dtype[0]) | |
| 542 | data.tofile(self.fp) |
|
533 | data.tofile(self.fp) | |
| 543 |
|
534 | |||
| 544 | if self.data_cspc is not None: |
|
535 | if self.data_cspc is not None: | |
| 545 | data = numpy.zeros( self.shape_cspc_Buffer, self.dtype ) |
|
536 | data = numpy.zeros( self.shape_cspc_Buffer, self.dtype ) | |
| 546 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) |
|
537 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) | |
| 547 | if not( self.processingHeaderObj.shif_fft ): |
|
538 | if not( self.processingHeaderObj.shif_fft ): | |
| 548 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
539 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones | |
| 549 | data['real'] = cspc.real |
|
540 | data['real'] = cspc.real | |
| 550 | data['imag'] = cspc.imag |
|
541 | data['imag'] = cspc.imag | |
| 551 | data = data.reshape((-1)) |
|
542 | data = data.reshape((-1)) | |
| 552 | data.tofile(self.fp) |
|
543 | data.tofile(self.fp) | |
| 553 |
|
544 | |||
| 554 |
|
545 | |||
| 555 | if self.data_dc is not None: |
|
546 | if self.data_dc is not None: | |
| 556 | data = numpy.zeros( self.shape_dc_Buffer, self.dtype ) |
|
547 | data = numpy.zeros( self.shape_dc_Buffer, self.dtype ) | |
| 557 | dc = self.data_dc |
|
548 | dc = self.data_dc | |
| 558 | data['real'] = dc.real |
|
549 | data['real'] = dc.real | |
| 559 | data['imag'] = dc.imag |
|
550 | data['imag'] = dc.imag | |
| 560 | data = data.reshape((-1)) |
|
551 | data = data.reshape((-1)) | |
| 561 | data.tofile(self.fp) |
|
552 | data.tofile(self.fp) | |
| 562 |
|
553 | |||
| 563 | # self.data_spc.fill(0) |
|
554 | # self.data_spc.fill(0) | |
| 564 | # |
|
555 | # | |
| 565 | # if self.data_dc is not None: |
|
556 | # if self.data_dc is not None: | |
| 566 | # self.data_dc.fill(0) |
|
557 | # self.data_dc.fill(0) | |
| 567 | # |
|
558 | # | |
| 568 | # if self.data_cspc is not None: |
|
559 | # if self.data_cspc is not None: | |
| 569 | # self.data_cspc.fill(0) |
|
560 | # self.data_cspc.fill(0) | |
| 570 |
|
561 | |||
| 571 |
|
562 | |||
| 572 | self.flagIsNewFile = 0 |
|
563 | self.flagIsNewFile = 0 | |
| 573 | self.flagIsNewBlock = 1 |
|
564 | self.flagIsNewBlock = 1 | |
| 574 | self.nTotalBlocks += 1 |
|
565 | self.nTotalBlocks += 1 | |
| 575 | self.nWriteBlocks += 1 |
|
566 | self.nWriteBlocks += 1 | |
| 576 | self.blockIndex += 1 |
|
567 | self.blockIndex += 1 | |
| 577 |
|
568 | |||
| 578 | # print "[Writing] Block = %d04" %self.blockIndex |
|
569 | # print "[Writing] Block = %d04" %self.blockIndex | |
| 579 |
|
570 | |||
| 580 | def putData(self): |
|
571 | def putData(self): | |
| 581 | """ |
|
572 | """ | |
| 582 | Setea un bloque de datos y luego los escribe en un file |
|
573 | Setea un bloque de datos y luego los escribe en un file | |
| 583 |
|
574 | |||
| 584 |
|
575 | |||
| 585 | Affected: |
|
576 | Affected: | |
| 586 | self.data_spc |
|
577 | self.data_spc | |
| 587 | self.data_cspc |
|
578 | self.data_cspc | |
| 588 | self.data_dc |
|
579 | self.data_dc | |
| 589 |
|
580 | |||
| 590 | Return: |
|
581 | Return: | |
| 591 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
582 | 0 : Si no hay data o no hay mas files que puedan escribirse | |
| 592 | 1 : Si se escribio la data de un bloque en un file |
|
583 | 1 : Si se escribio la data de un bloque en un file | |
| 593 | """ |
|
584 | """ | |
| 594 |
|
585 | |||
| 595 | if self.dataOut.flagNoData: |
|
586 | if self.dataOut.flagNoData: | |
| 596 | return 0 |
|
587 | return 0 | |
| 597 |
|
588 | |||
| 598 | self.flagIsNewBlock = 0 |
|
589 | self.flagIsNewBlock = 0 | |
| 599 |
|
590 | |||
| 600 | if self.dataOut.flagDiscontinuousBlock: |
|
591 | if self.dataOut.flagDiscontinuousBlock: | |
| 601 | self.data_spc.fill(0) |
|
592 | self.data_spc.fill(0) | |
| 602 | self.data_cspc.fill(0) |
|
593 | self.data_cspc.fill(0) | |
| 603 | self.data_dc.fill(0) |
|
594 | self.data_dc.fill(0) | |
| 604 | self.setNextFile() |
|
595 | self.setNextFile() | |
| 605 |
|
596 | |||
| 606 | if self.flagIsNewFile == 0: |
|
597 | if self.flagIsNewFile == 0: | |
| 607 | self.setBasicHeader() |
|
598 | self.setBasicHeader() | |
| 608 |
|
599 | |||
| 609 | self.data_spc = self.dataOut.data_spc.copy() |
|
600 | self.data_spc = self.dataOut.data_spc.copy() | |
| 610 |
|
601 | |||
| 611 | if self.dataOut.data_cspc is not None: |
|
602 | if self.dataOut.data_cspc is not None: | |
| 612 | self.data_cspc = self.dataOut.data_cspc.copy() |
|
603 | self.data_cspc = self.dataOut.data_cspc.copy() | |
| 613 |
|
604 | |||
| 614 | if self.dataOut.data_dc is not None: |
|
605 | if self.dataOut.data_dc is not None: | |
| 615 | self.data_dc = self.dataOut.data_dc.copy() |
|
606 | self.data_dc = self.dataOut.data_dc.copy() | |
| 616 |
|
607 | |||
| 617 | # #self.processingHeaderObj.dataBlocksPerFile) |
|
608 | # #self.processingHeaderObj.dataBlocksPerFile) | |
| 618 | if self.hasAllDataInBuffer(): |
|
609 | if self.hasAllDataInBuffer(): | |
| 619 | # self.setFirstHeader() |
|
610 | # self.setFirstHeader() | |
| 620 | self.writeNextBlock() |
|
611 | self.writeNextBlock() | |
| 621 |
|
612 | |||
| 622 | return 1 |
|
613 | return 1 | |
| 623 |
|
614 | |||
| 624 |
|
615 | |||
| 625 | def __getBlockSize(self): |
|
616 | def __getBlockSize(self): | |
| 626 | ''' |
|
617 | ''' | |
| 627 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra |
|
618 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra | |
| 628 | ''' |
|
619 | ''' | |
| 629 |
|
620 | |||
| 630 | dtype_width = self.getDtypeWidth() |
|
621 | dtype_width = self.getDtypeWidth() | |
| 631 |
|
622 | |||
| 632 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints |
|
623 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints | |
| 633 |
|
624 | |||
| 634 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) |
|
625 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) | |
| 635 | blocksize = (pts2write_SelfSpectra*dtype_width) |
|
626 | blocksize = (pts2write_SelfSpectra*dtype_width) | |
| 636 |
|
627 | |||
| 637 | if self.dataOut.data_cspc is not None: |
|
628 | if self.dataOut.data_cspc is not None: | |
| 638 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) |
|
629 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) | |
| 639 | blocksize += (pts2write_CrossSpectra*dtype_width*2) |
|
630 | blocksize += (pts2write_CrossSpectra*dtype_width*2) | |
| 640 |
|
631 | |||
| 641 | if self.dataOut.data_dc is not None: |
|
632 | if self.dataOut.data_dc is not None: | |
| 642 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) |
|
633 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) | |
| 643 | blocksize += (pts2write_DCchannels*dtype_width*2) |
|
634 | blocksize += (pts2write_DCchannels*dtype_width*2) | |
| 644 |
|
635 | |||
| 645 | # blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO |
|
636 | # blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO | |
| 646 |
|
637 | |||
| 647 | return blocksize |
|
638 | return blocksize | |
| 648 |
|
639 | |||
| 649 | def setFirstHeader(self): |
|
640 | def setFirstHeader(self): | |
| 650 |
|
641 | |||
| 651 | """ |
|
642 | """ | |
| 652 | Obtiene una copia del First Header |
|
643 | Obtiene una copia del First Header | |
| 653 |
|
644 | |||
| 654 | Affected: |
|
645 | Affected: | |
| 655 | self.systemHeaderObj |
|
646 | self.systemHeaderObj | |
| 656 | self.radarControllerHeaderObj |
|
647 | self.radarControllerHeaderObj | |
| 657 | self.dtype |
|
648 | self.dtype | |
| 658 |
|
649 | |||
| 659 | Return: |
|
650 | Return: | |
| 660 | None |
|
651 | None | |
| 661 | """ |
|
652 | """ | |
| 662 |
|
653 | |||
| 663 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
654 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() | |
| 664 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
655 | self.systemHeaderObj.nChannels = self.dataOut.nChannels | |
| 665 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
656 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() | |
| 666 |
|
657 | |||
| 667 | self.processingHeaderObj.dtype = 1 # Spectra |
|
658 | self.processingHeaderObj.dtype = 1 # Spectra | |
| 668 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
659 | self.processingHeaderObj.blockSize = self.__getBlockSize() | |
| 669 | self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints |
|
660 | self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints | |
| 670 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
661 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile | |
| 671 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
662 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows | |
| 672 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval |
|
663 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval | |
| 673 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt |
|
664 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt | |
| 674 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels |
|
665 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels | |
| 675 | self.processingHeaderObj.shif_fft = self.dataOut.flagShiftFFT |
|
666 | self.processingHeaderObj.shif_fft = self.dataOut.flagShiftFFT | |
| 676 |
|
667 | |||
| 677 |
|
668 | |||
| 678 | if self.processingHeaderObj.totalSpectra > 0: |
|
669 | if self.processingHeaderObj.totalSpectra > 0: | |
| 679 | channelList = [] |
|
670 | channelList = [] | |
| 680 | for channel in range(self.dataOut.nChannels): |
|
671 | for channel in range(self.dataOut.nChannels): | |
| 681 | channelList.append(channel) |
|
672 | channelList.append(channel) | |
| 682 | channelList.append(channel) |
|
673 | channelList.append(channel) | |
| 683 |
|
674 | |||
| 684 | pairsList = [] |
|
675 | pairsList = [] | |
| 685 | if self.dataOut.nPairs > 0: |
|
676 | if self.dataOut.nPairs > 0: | |
| 686 | for pair in self.dataOut.pairsList: |
|
677 | for pair in self.dataOut.pairsList: | |
| 687 | pairsList.append(pair[0]) |
|
678 | pairsList.append(pair[0]) | |
| 688 | pairsList.append(pair[1]) |
|
679 | pairsList.append(pair[1]) | |
| 689 |
|
680 | |||
| 690 | spectraComb = channelList + pairsList |
|
681 | spectraComb = channelList + pairsList | |
| 691 | spectraComb = numpy.array(spectraComb, dtype="u1") |
|
682 | spectraComb = numpy.array(spectraComb, dtype="u1") | |
| 692 | self.processingHeaderObj.spectraComb = spectraComb |
|
683 | self.processingHeaderObj.spectraComb = spectraComb | |
| 693 |
|
684 | |||
| 694 | if self.dataOut.code is not None: |
|
685 | if self.dataOut.code is not None: | |
| 695 | self.processingHeaderObj.code = self.dataOut.code |
|
686 | self.processingHeaderObj.code = self.dataOut.code | |
| 696 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
687 | self.processingHeaderObj.nCode = self.dataOut.nCode | |
| 697 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
688 | self.processingHeaderObj.nBaud = self.dataOut.nBaud | |
| 698 |
|
689 | |||
| 699 | if self.processingHeaderObj.nWindows != 0: |
|
690 | if self.processingHeaderObj.nWindows != 0: | |
| 700 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
691 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] | |
| 701 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
692 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] | |
| 702 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
693 | self.processingHeaderObj.nHeights = self.dataOut.nHeights | |
| 703 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
694 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights | |
| 704 |
|
695 | |||
| 705 | self.processingHeaderObj.processFlags = self.getProcessFlags() |
|
696 | self.processingHeaderObj.processFlags = self.getProcessFlags() | |
| 706 |
|
697 | |||
| 707 | self.setBasicHeader() |
|
698 | self.setBasicHeader() | |
| @@ -1,4042 +1,4045 | |||||
| 1 | import numpy |
|
1 | import numpy | |
| 2 | import math |
|
2 | import math | |
| 3 | from scipy import optimize, interpolate, signal, stats, ndimage |
|
3 | from scipy import optimize, interpolate, signal, stats, ndimage | |
| 4 | import scipy |
|
4 | import scipy | |
| 5 | import re |
|
5 | import re | |
| 6 | import datetime |
|
6 | import datetime | |
| 7 | import copy |
|
7 | import copy | |
| 8 | import sys |
|
8 | import sys | |
| 9 | import importlib |
|
9 | import importlib | |
| 10 | import itertools |
|
10 | import itertools | |
| 11 | from multiprocessing import Pool, TimeoutError |
|
11 | from multiprocessing import Pool, TimeoutError | |
| 12 | from multiprocessing.pool import ThreadPool |
|
12 | from multiprocessing.pool import ThreadPool | |
| 13 | import copy_reg |
|
13 | import copy_reg | |
| 14 | import cPickle |
|
14 | import cPickle | |
| 15 | import types |
|
15 | import types | |
| 16 | from functools import partial |
|
16 | from functools import partial | |
| 17 | import time |
|
17 | import time | |
| 18 | #from sklearn.cluster import KMeans |
|
18 | #from sklearn.cluster import KMeans | |
| 19 |
|
19 | |||
| 20 | import matplotlib.pyplot as plt |
|
20 | import matplotlib.pyplot as plt | |
| 21 |
|
21 | |||
| 22 | from scipy.optimize import fmin_l_bfgs_b #optimize with bounds on state papameters |
|
22 | from scipy.optimize import fmin_l_bfgs_b #optimize with bounds on state papameters | |
| 23 | from jroproc_base import ProcessingUnit, Operation |
|
23 | from jroproc_base import ProcessingUnit, Operation | |
| 24 | from schainpy.model.data.jrodata import Parameters, hildebrand_sekhon |
|
24 | from schainpy.model.data.jrodata import Parameters, hildebrand_sekhon | |
| 25 | from scipy import asarray as ar,exp |
|
25 | from scipy import asarray as ar,exp | |
| 26 | from scipy.optimize import curve_fit |
|
26 | from scipy.optimize import curve_fit | |
| 27 |
|
27 | |||
| 28 | import warnings |
|
28 | import warnings | |
| 29 | from numpy import NaN |
|
29 | from numpy import NaN | |
| 30 | from scipy.optimize.optimize import OptimizeWarning |
|
30 | from scipy.optimize.optimize import OptimizeWarning | |
| 31 | warnings.filterwarnings('ignore') |
|
31 | warnings.filterwarnings('ignore') | |
| 32 |
|
32 | |||
| 33 |
|
33 | |||
| 34 | SPEED_OF_LIGHT = 299792458 |
|
34 | SPEED_OF_LIGHT = 299792458 | |
| 35 |
|
35 | |||
| 36 |
|
36 | |||
| 37 | '''solving pickling issue''' |
|
37 | '''solving pickling issue''' | |
| 38 |
|
38 | |||
| 39 | def _pickle_method(method): |
|
39 | def _pickle_method(method): | |
| 40 | func_name = method.im_func.__name__ |
|
40 | func_name = method.im_func.__name__ | |
| 41 | obj = method.im_self |
|
41 | obj = method.im_self | |
| 42 | cls = method.im_class |
|
42 | cls = method.im_class | |
| 43 | return _unpickle_method, (func_name, obj, cls) |
|
43 | return _unpickle_method, (func_name, obj, cls) | |
| 44 |
|
44 | |||
| 45 | def _unpickle_method(func_name, obj, cls): |
|
45 | def _unpickle_method(func_name, obj, cls): | |
| 46 | for cls in cls.mro(): |
|
46 | for cls in cls.mro(): | |
| 47 | try: |
|
47 | try: | |
| 48 | func = cls.__dict__[func_name] |
|
48 | func = cls.__dict__[func_name] | |
| 49 | except KeyError: |
|
49 | except KeyError: | |
| 50 | pass |
|
50 | pass | |
| 51 | else: |
|
51 | else: | |
| 52 | break |
|
52 | break | |
| 53 | return func.__get__(obj, cls) |
|
53 | return func.__get__(obj, cls) | |
| 54 |
|
54 | |||
| 55 | class ParametersProc(ProcessingUnit): |
|
55 | class ParametersProc(ProcessingUnit): | |
| 56 |
|
56 | |||
| 57 | nSeconds = None |
|
57 | nSeconds = None | |
| 58 |
|
58 | |||
| 59 | def __init__(self): |
|
59 | def __init__(self): | |
| 60 | ProcessingUnit.__init__(self) |
|
60 | ProcessingUnit.__init__(self) | |
| 61 |
|
61 | |||
| 62 | # self.objectDict = {} |
|
62 | # self.objectDict = {} | |
| 63 | self.buffer = None |
|
63 | self.buffer = None | |
| 64 | self.firstdatatime = None |
|
64 | self.firstdatatime = None | |
| 65 | self.profIndex = 0 |
|
65 | self.profIndex = 0 | |
| 66 | self.dataOut = Parameters() |
|
66 | self.dataOut = Parameters() | |
| 67 |
|
67 | |||
| 68 | def __updateObjFromInput(self): |
|
68 | def __updateObjFromInput(self): | |
| 69 |
|
69 | |||
| 70 | self.dataOut.inputUnit = self.dataIn.type |
|
70 | self.dataOut.inputUnit = self.dataIn.type | |
| 71 |
|
71 | |||
| 72 | self.dataOut.timeZone = self.dataIn.timeZone |
|
72 | self.dataOut.timeZone = self.dataIn.timeZone | |
| 73 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
73 | self.dataOut.dstFlag = self.dataIn.dstFlag | |
| 74 | self.dataOut.errorCount = self.dataIn.errorCount |
|
74 | self.dataOut.errorCount = self.dataIn.errorCount | |
| 75 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
75 | self.dataOut.useLocalTime = self.dataIn.useLocalTime | |
| 76 |
|
76 | |||
| 77 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
77 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() | |
| 78 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
78 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() | |
| 79 | self.dataOut.channelList = self.dataIn.channelList |
|
79 | self.dataOut.channelList = self.dataIn.channelList | |
| 80 | self.dataOut.heightList = self.dataIn.heightList |
|
80 | self.dataOut.heightList = self.dataIn.heightList | |
| 81 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
81 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
| 82 | # self.dataOut.nHeights = self.dataIn.nHeights |
|
82 | # self.dataOut.nHeights = self.dataIn.nHeights | |
| 83 | # self.dataOut.nChannels = self.dataIn.nChannels |
|
83 | # self.dataOut.nChannels = self.dataIn.nChannels | |
| 84 | self.dataOut.nBaud = self.dataIn.nBaud |
|
84 | self.dataOut.nBaud = self.dataIn.nBaud | |
| 85 | self.dataOut.nCode = self.dataIn.nCode |
|
85 | self.dataOut.nCode = self.dataIn.nCode | |
| 86 | self.dataOut.code = self.dataIn.code |
|
86 | self.dataOut.code = self.dataIn.code | |
| 87 | # self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
87 | # self.dataOut.nProfiles = self.dataOut.nFFTPoints | |
| 88 | self.dataOut.flagDiscontinuousBlock = self.dataIn.flagDiscontinuousBlock |
|
88 | self.dataOut.flagDiscontinuousBlock = self.dataIn.flagDiscontinuousBlock | |
| 89 | # self.dataOut.utctime = self.firstdatatime |
|
89 | # self.dataOut.utctime = self.firstdatatime | |
| 90 | self.dataOut.utctime = self.dataIn.utctime |
|
90 | self.dataOut.utctime = self.dataIn.utctime | |
| 91 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
91 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada | |
| 92 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
92 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip | |
| 93 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
93 | self.dataOut.nCohInt = self.dataIn.nCohInt | |
| 94 | # self.dataOut.nIncohInt = 1 |
|
94 | # self.dataOut.nIncohInt = 1 | |
| 95 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
95 | self.dataOut.ippSeconds = self.dataIn.ippSeconds | |
| 96 | # self.dataOut.windowOfFilter = self.dataIn.windowOfFilter |
|
96 | # self.dataOut.windowOfFilter = self.dataIn.windowOfFilter | |
| 97 | self.dataOut.timeInterval1 = self.dataIn.timeInterval |
|
97 | self.dataOut.timeInterval1 = self.dataIn.timeInterval | |
| 98 | self.dataOut.heightList = self.dataIn.getHeiRange() |
|
98 | self.dataOut.heightList = self.dataIn.getHeiRange() | |
| 99 | self.dataOut.frequency = self.dataIn.frequency |
|
99 | self.dataOut.frequency = self.dataIn.frequency | |
| 100 | # self.dataOut.noise = self.dataIn.noise |
|
100 | # self.dataOut.noise = self.dataIn.noise | |
| 101 |
|
101 | |||
| 102 | def run(self): |
|
102 | def run(self): | |
| 103 |
|
103 | |||
| 104 | #---------------------- Voltage Data --------------------------- |
|
104 | #---------------------- Voltage Data --------------------------- | |
| 105 |
|
105 | |||
| 106 | if self.dataIn.type == "Voltage": |
|
106 | if self.dataIn.type == "Voltage": | |
| 107 |
|
107 | |||
| 108 | self.__updateObjFromInput() |
|
108 | self.__updateObjFromInput() | |
| 109 | self.dataOut.data_pre = self.dataIn.data.copy() |
|
109 | self.dataOut.data_pre = self.dataIn.data.copy() | |
| 110 | self.dataOut.flagNoData = False |
|
110 | self.dataOut.flagNoData = False | |
| 111 | self.dataOut.utctimeInit = self.dataIn.utctime |
|
111 | self.dataOut.utctimeInit = self.dataIn.utctime | |
| 112 | self.dataOut.paramInterval = self.dataIn.nProfiles*self.dataIn.nCohInt*self.dataIn.ippSeconds |
|
112 | self.dataOut.paramInterval = self.dataIn.nProfiles*self.dataIn.nCohInt*self.dataIn.ippSeconds | |
| 113 | return |
|
113 | return | |
| 114 |
|
114 | |||
| 115 | #---------------------- Spectra Data --------------------------- |
|
115 | #---------------------- Spectra Data --------------------------- | |
| 116 |
|
116 | |||
| 117 | if self.dataIn.type == "Spectra": |
|
117 | if self.dataIn.type == "Spectra": | |
| 118 |
|
118 | |||
| 119 | self.dataOut.data_pre = (self.dataIn.data_spc, self.dataIn.data_cspc) |
|
119 | self.dataOut.data_pre = (self.dataIn.data_spc, self.dataIn.data_cspc) | |
| 120 | self.dataOut.data_spc = self.dataIn.data_spc |
|
120 | self.dataOut.data_spc = self.dataIn.data_spc | |
| 121 | self.dataOut.data_cspc = self.dataIn.data_cspc |
|
121 | self.dataOut.data_cspc = self.dataIn.data_cspc | |
| 122 | self.dataOut.nProfiles = self.dataIn.nProfiles |
|
122 | self.dataOut.nProfiles = self.dataIn.nProfiles | |
| 123 | self.dataOut.nIncohInt = self.dataIn.nIncohInt |
|
123 | self.dataOut.nIncohInt = self.dataIn.nIncohInt | |
| 124 | self.dataOut.nFFTPoints = self.dataIn.nFFTPoints |
|
124 | self.dataOut.nFFTPoints = self.dataIn.nFFTPoints | |
| 125 | self.dataOut.ippFactor = self.dataIn.ippFactor |
|
125 | self.dataOut.ippFactor = self.dataIn.ippFactor | |
| 126 | self.dataOut.abscissaList = self.dataIn.getVelRange(1) |
|
126 | self.dataOut.abscissaList = self.dataIn.getVelRange(1) | |
| 127 | self.dataOut.spc_noise = self.dataIn.getNoise() |
|
127 | self.dataOut.spc_noise = self.dataIn.getNoise() | |
| 128 | self.dataOut.spc_range = (self.dataIn.getFreqRange(1)/1000. , self.dataIn.getAcfRange(1) , self.dataIn.getVelRange(1)) |
|
128 | self.dataOut.spc_range = (self.dataIn.getFreqRange(1)/1000. , self.dataIn.getAcfRange(1) , self.dataIn.getVelRange(1)) | |
| 129 | self.dataOut.pairsList = self.dataIn.pairsList |
|
129 | self.dataOut.pairsList = self.dataIn.pairsList | |
| 130 | self.dataOut.groupList = self.dataIn.pairsList |
|
130 | self.dataOut.groupList = self.dataIn.pairsList | |
| 131 | self.dataOut.flagNoData = False |
|
131 | self.dataOut.flagNoData = False | |
| 132 |
|
132 | |||
| 133 | if hasattr(self.dataIn, 'ChanDist'): #Distances of receiver channels |
|
133 | if hasattr(self.dataIn, 'ChanDist'): #Distances of receiver channels | |
| 134 | self.dataOut.ChanDist = self.dataIn.ChanDist |
|
134 | self.dataOut.ChanDist = self.dataIn.ChanDist | |
| 135 | else: self.dataOut.ChanDist = None |
|
135 | else: self.dataOut.ChanDist = None | |
| 136 |
|
136 | |||
| 137 | if hasattr(self.dataIn, 'VelRange'): #Velocities range |
|
137 | if hasattr(self.dataIn, 'VelRange'): #Velocities range | |
| 138 | self.dataOut.VelRange = self.dataIn.VelRange |
|
138 | self.dataOut.VelRange = self.dataIn.VelRange | |
| 139 | else: self.dataOut.VelRange = None |
|
139 | else: self.dataOut.VelRange = None | |
| 140 |
|
140 | |||
| 141 | if hasattr(self.dataIn, 'RadarConst'): #Radar Constant |
|
141 | if hasattr(self.dataIn, 'RadarConst'): #Radar Constant | |
| 142 | self.dataOut.RadarConst = self.dataIn.RadarConst |
|
142 | self.dataOut.RadarConst = self.dataIn.RadarConst | |
| 143 |
|
143 | |||
| 144 | if hasattr(self.dataIn, 'NPW'): #NPW |
|
144 | if hasattr(self.dataIn, 'NPW'): #NPW | |
| 145 | self.dataOut.NPW = self.dataIn.NPW |
|
145 | self.dataOut.NPW = self.dataIn.NPW | |
| 146 |
|
146 | |||
| 147 | if hasattr(self.dataIn, 'COFA'): #COFA |
|
147 | if hasattr(self.dataIn, 'COFA'): #COFA | |
| 148 | self.dataOut.COFA = self.dataIn.COFA |
|
148 | self.dataOut.COFA = self.dataIn.COFA | |
| 149 |
|
149 | |||
| 150 |
|
150 | |||
| 151 |
|
151 | |||
| 152 | #---------------------- Correlation Data --------------------------- |
|
152 | #---------------------- Correlation Data --------------------------- | |
| 153 |
|
153 | |||
| 154 | if self.dataIn.type == "Correlation": |
|
154 | if self.dataIn.type == "Correlation": | |
| 155 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.dataIn.splitFunctions() |
|
155 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.dataIn.splitFunctions() | |
| 156 |
|
156 | |||
| 157 | self.dataOut.data_pre = (self.dataIn.data_cf[acf_ind,:], self.dataIn.data_cf[ccf_ind,:,:]) |
|
157 | self.dataOut.data_pre = (self.dataIn.data_cf[acf_ind,:], self.dataIn.data_cf[ccf_ind,:,:]) | |
| 158 | self.dataOut.normFactor = (self.dataIn.normFactor[acf_ind,:], self.dataIn.normFactor[ccf_ind,:]) |
|
158 | self.dataOut.normFactor = (self.dataIn.normFactor[acf_ind,:], self.dataIn.normFactor[ccf_ind,:]) | |
| 159 | self.dataOut.groupList = (acf_pairs, ccf_pairs) |
|
159 | self.dataOut.groupList = (acf_pairs, ccf_pairs) | |
| 160 |
|
160 | |||
| 161 | self.dataOut.abscissaList = self.dataIn.lagRange |
|
161 | self.dataOut.abscissaList = self.dataIn.lagRange | |
| 162 | self.dataOut.noise = self.dataIn.noise |
|
162 | self.dataOut.noise = self.dataIn.noise | |
| 163 | self.dataOut.data_SNR = self.dataIn.SNR |
|
163 | self.dataOut.data_SNR = self.dataIn.SNR | |
| 164 | self.dataOut.flagNoData = False |
|
164 | self.dataOut.flagNoData = False | |
| 165 | self.dataOut.nAvg = self.dataIn.nAvg |
|
165 | self.dataOut.nAvg = self.dataIn.nAvg | |
| 166 |
|
166 | |||
| 167 | #---------------------- Parameters Data --------------------------- |
|
167 | #---------------------- Parameters Data --------------------------- | |
| 168 |
|
168 | |||
| 169 | if self.dataIn.type == "Parameters": |
|
169 | if self.dataIn.type == "Parameters": | |
| 170 | self.dataOut.copy(self.dataIn) |
|
170 | self.dataOut.copy(self.dataIn) | |
| 171 | self.dataOut.flagNoData = False |
|
171 | self.dataOut.flagNoData = False | |
| 172 |
|
172 | |||
| 173 | return True |
|
173 | return True | |
| 174 |
|
174 | |||
| 175 | self.__updateObjFromInput() |
|
175 | self.__updateObjFromInput() | |
| 176 | self.dataOut.utctimeInit = self.dataIn.utctime |
|
176 | self.dataOut.utctimeInit = self.dataIn.utctime | |
| 177 | self.dataOut.paramInterval = self.dataIn.timeInterval |
|
177 | self.dataOut.paramInterval = self.dataIn.timeInterval | |
| 178 |
|
178 | |||
| 179 | return |
|
179 | return | |
| 180 |
|
180 | |||
| 181 |
|
181 | |||
| 182 | def target(tups): |
|
182 | def target(tups): | |
| 183 |
|
183 | |||
| 184 | obj, args = tups |
|
184 | obj, args = tups | |
| 185 | #print 'TARGETTT', obj, args |
|
185 | #print 'TARGETTT', obj, args | |
| 186 | return obj.FitGau(args) |
|
186 | return obj.FitGau(args) | |
| 187 |
|
187 | |||
| 188 | class GaussianFit(Operation): |
|
188 | class GaussianFit(Operation): | |
| 189 |
|
189 | |||
| 190 | ''' |
|
190 | ''' | |
| 191 | Function that fit of one and two generalized gaussians (gg) based |
|
191 | Function that fit of one and two generalized gaussians (gg) based | |
| 192 | on the PSD shape across an "power band" identified from a cumsum of |
|
192 | on the PSD shape across an "power band" identified from a cumsum of | |
| 193 | the measured spectrum - noise. |
|
193 | the measured spectrum - noise. | |
| 194 |
|
194 | |||
| 195 | Input: |
|
195 | Input: | |
| 196 | self.dataOut.data_pre : SelfSpectra |
|
196 | self.dataOut.data_pre : SelfSpectra | |
| 197 |
|
197 | |||
| 198 | Output: |
|
198 | Output: | |
| 199 | self.dataOut.GauSPC : SPC_ch1, SPC_ch2 |
|
199 | self.dataOut.GauSPC : SPC_ch1, SPC_ch2 | |
| 200 |
|
200 | |||
| 201 | ''' |
|
201 | ''' | |
| 202 | def __init__(self, **kwargs): |
|
202 | def __init__(self, **kwargs): | |
| 203 | Operation.__init__(self, **kwargs) |
|
203 | Operation.__init__(self, **kwargs) | |
| 204 | self.i=0 |
|
204 | self.i=0 | |
| 205 |
|
205 | |||
| 206 |
|
206 | |||
| 207 | def run(self, dataOut, num_intg=7, pnoise=1., vel_arr=None, SNRlimit=-9): #num_intg: Incoherent integrations, pnoise: Noise, vel_arr: range of velocities, similar to the ftt points |
|
207 | def run(self, dataOut, num_intg=7, pnoise=1., vel_arr=None, SNRlimit=-9): #num_intg: Incoherent integrations, pnoise: Noise, vel_arr: range of velocities, similar to the ftt points | |
| 208 | """This routine will find a couple of generalized Gaussians to a power spectrum |
|
208 | """This routine will find a couple of generalized Gaussians to a power spectrum | |
| 209 | input: spc |
|
209 | input: spc | |
| 210 | output: |
|
210 | output: | |
| 211 | Amplitude0,shift0,width0,p0,Amplitude1,shift1,width1,p1,noise |
|
211 | Amplitude0,shift0,width0,p0,Amplitude1,shift1,width1,p1,noise | |
| 212 | """ |
|
212 | """ | |
| 213 |
|
213 | |||
| 214 | self.spc = dataOut.data_pre[0].copy() |
|
214 | self.spc = dataOut.data_pre[0].copy() | |
| 215 |
|
215 | |||
| 216 |
|
216 | |||
| 217 | print 'SelfSpectra Shape', numpy.asarray(self.spc).shape |
|
217 | print 'SelfSpectra Shape', numpy.asarray(self.spc).shape | |
| 218 |
|
218 | |||
| 219 |
|
219 | |||
| 220 | #plt.figure(50) |
|
220 | #plt.figure(50) | |
| 221 | #plt.subplot(121) |
|
221 | #plt.subplot(121) | |
| 222 | #plt.plot(self.spc,'k',label='spc(66)') |
|
222 | #plt.plot(self.spc,'k',label='spc(66)') | |
| 223 | #plt.plot(xFrec,ySamples[1],'g',label='Ch1') |
|
223 | #plt.plot(xFrec,ySamples[1],'g',label='Ch1') | |
| 224 | #plt.plot(xFrec,ySamples[2],'r',label='Ch2') |
|
224 | #plt.plot(xFrec,ySamples[2],'r',label='Ch2') | |
| 225 | #plt.plot(xFrec,FitGauss,'yo:',label='fit') |
|
225 | #plt.plot(xFrec,FitGauss,'yo:',label='fit') | |
| 226 | #plt.legend() |
|
226 | #plt.legend() | |
| 227 | #plt.title('DATOS A ALTURA DE 7500 METROS') |
|
227 | #plt.title('DATOS A ALTURA DE 7500 METROS') | |
| 228 | #plt.show() |
|
228 | #plt.show() | |
| 229 |
|
229 | |||
| 230 | self.Num_Hei = self.spc.shape[2] |
|
230 | self.Num_Hei = self.spc.shape[2] | |
| 231 | #self.Num_Bin = len(self.spc) |
|
231 | #self.Num_Bin = len(self.spc) | |
| 232 | self.Num_Bin = self.spc.shape[1] |
|
232 | self.Num_Bin = self.spc.shape[1] | |
| 233 | self.Num_Chn = self.spc.shape[0] |
|
233 | self.Num_Chn = self.spc.shape[0] | |
| 234 |
|
234 | |||
| 235 | Vrange = dataOut.abscissaList |
|
235 | Vrange = dataOut.abscissaList | |
| 236 |
|
236 | |||
| 237 | #print 'self.spc2', numpy.asarray(self.spc).shape |
|
237 | #print 'self.spc2', numpy.asarray(self.spc).shape | |
| 238 |
|
238 | |||
| 239 | GauSPC = numpy.empty([2,self.Num_Bin,self.Num_Hei]) |
|
239 | GauSPC = numpy.empty([2,self.Num_Bin,self.Num_Hei]) | |
| 240 | SPC_ch1 = numpy.empty([self.Num_Bin,self.Num_Hei]) |
|
240 | SPC_ch1 = numpy.empty([self.Num_Bin,self.Num_Hei]) | |
| 241 | SPC_ch2 = numpy.empty([self.Num_Bin,self.Num_Hei]) |
|
241 | SPC_ch2 = numpy.empty([self.Num_Bin,self.Num_Hei]) | |
| 242 | SPC_ch1[:] = numpy.NaN |
|
242 | SPC_ch1[:] = numpy.NaN | |
| 243 | SPC_ch2[:] = numpy.NaN |
|
243 | SPC_ch2[:] = numpy.NaN | |
| 244 |
|
244 | |||
| 245 |
|
245 | |||
| 246 | start_time = time.time() |
|
246 | start_time = time.time() | |
| 247 |
|
247 | |||
| 248 | noise_ = dataOut.spc_noise[0].copy() |
|
248 | noise_ = dataOut.spc_noise[0].copy() | |
| 249 |
|
249 | |||
| 250 |
|
250 | |||
| 251 |
|
251 | |||
| 252 | pool = Pool(processes=self.Num_Chn) |
|
252 | pool = Pool(processes=self.Num_Chn) | |
| 253 | args = [(Vrange, Ch, pnoise, noise_, num_intg, SNRlimit) for Ch in range(self.Num_Chn)] |
|
253 | args = [(Vrange, Ch, pnoise, noise_, num_intg, SNRlimit) for Ch in range(self.Num_Chn)] | |
| 254 | objs = [self for __ in range(self.Num_Chn)] |
|
254 | objs = [self for __ in range(self.Num_Chn)] | |
| 255 | attrs = zip(objs, args) |
|
255 | attrs = zip(objs, args) | |
| 256 | gauSPC = pool.map(target, attrs) |
|
256 | gauSPC = pool.map(target, attrs) | |
| 257 | dataOut.GauSPC = numpy.asarray(gauSPC) |
|
257 | dataOut.GauSPC = numpy.asarray(gauSPC) | |
| 258 | # ret = [] |
|
258 | # ret = [] | |
| 259 | # for n in range(self.Num_Chn): |
|
259 | # for n in range(self.Num_Chn): | |
| 260 | # self.FitGau(args[n]) |
|
260 | # self.FitGau(args[n]) | |
| 261 | # dataOut.GauSPC = ret |
|
261 | # dataOut.GauSPC = ret | |
| 262 |
|
262 | |||
| 263 |
|
263 | |||
| 264 |
|
264 | |||
| 265 | # for ch in range(self.Num_Chn): |
|
265 | # for ch in range(self.Num_Chn): | |
| 266 | # |
|
266 | # | |
| 267 | # for ht in range(self.Num_Hei): |
|
267 | # for ht in range(self.Num_Hei): | |
| 268 | # #print (numpy.asarray(self.spc).shape) |
|
268 | # #print (numpy.asarray(self.spc).shape) | |
| 269 | # spc = numpy.asarray(self.spc)[ch,:,ht] |
|
269 | # spc = numpy.asarray(self.spc)[ch,:,ht] | |
| 270 | # |
|
270 | # | |
| 271 | # ############################################# |
|
271 | # ############################################# | |
| 272 | # # normalizing spc and noise |
|
272 | # # normalizing spc and noise | |
| 273 | # # This part differs from gg1 |
|
273 | # # This part differs from gg1 | |
| 274 | # spc_norm_max = max(spc) |
|
274 | # spc_norm_max = max(spc) | |
| 275 | # spc = spc / spc_norm_max |
|
275 | # spc = spc / spc_norm_max | |
| 276 | # pnoise = pnoise / spc_norm_max |
|
276 | # pnoise = pnoise / spc_norm_max | |
| 277 | # ############################################# |
|
277 | # ############################################# | |
| 278 | # |
|
278 | # | |
| 279 | # if abs(vel_arr[0])<15.0: # this switch is for spectra collected with different length IPP's |
|
279 | # if abs(vel_arr[0])<15.0: # this switch is for spectra collected with different length IPP's | |
| 280 | # fatspectra=1.0 |
|
280 | # fatspectra=1.0 | |
| 281 | # else: |
|
281 | # else: | |
| 282 | # fatspectra=0.5 |
|
282 | # fatspectra=0.5 | |
| 283 | # |
|
283 | # | |
| 284 | # wnoise = noise_ / spc_norm_max |
|
284 | # wnoise = noise_ / spc_norm_max | |
| 285 | # #print 'wnoise', noise_, dataOut.spc_noise[0], wnoise |
|
285 | # #print 'wnoise', noise_, dataOut.spc_noise[0], wnoise | |
| 286 | # #wnoise,stdv,i_max,index =enoise(spc,num_intg) #noise estimate using Hildebrand Sekhon, only wnoise is used |
|
286 | # #wnoise,stdv,i_max,index =enoise(spc,num_intg) #noise estimate using Hildebrand Sekhon, only wnoise is used | |
| 287 | # #if wnoise>1.1*pnoise: # to be tested later |
|
287 | # #if wnoise>1.1*pnoise: # to be tested later | |
| 288 | # # wnoise=pnoise |
|
288 | # # wnoise=pnoise | |
| 289 | # noisebl=wnoise*0.9; noisebh=wnoise*1.1 |
|
289 | # noisebl=wnoise*0.9; noisebh=wnoise*1.1 | |
| 290 | # spc=spc-wnoise |
|
290 | # spc=spc-wnoise | |
| 291 | # |
|
291 | # | |
| 292 | # minx=numpy.argmin(spc) |
|
292 | # minx=numpy.argmin(spc) | |
| 293 | # spcs=numpy.roll(spc,-minx) |
|
293 | # spcs=numpy.roll(spc,-minx) | |
| 294 | # cum=numpy.cumsum(spcs) |
|
294 | # cum=numpy.cumsum(spcs) | |
| 295 | # tot_noise=wnoise * self.Num_Bin #64; |
|
295 | # tot_noise=wnoise * self.Num_Bin #64; | |
| 296 | # #tot_signal=sum(cum[-5:])/5.; ''' How does this line work? ''' |
|
296 | # #tot_signal=sum(cum[-5:])/5.; ''' How does this line work? ''' | |
| 297 | # #snr=tot_signal/tot_noise |
|
297 | # #snr=tot_signal/tot_noise | |
| 298 | # #snr=cum[-1]/tot_noise |
|
298 | # #snr=cum[-1]/tot_noise | |
| 299 | # |
|
299 | # | |
| 300 | # #print 'spc' , spcs[5:8] , 'tot_noise', tot_noise |
|
300 | # #print 'spc' , spcs[5:8] , 'tot_noise', tot_noise | |
| 301 | # |
|
301 | # | |
| 302 | # snr = sum(spcs)/tot_noise |
|
302 | # snr = sum(spcs)/tot_noise | |
| 303 | # snrdB=10.*numpy.log10(snr) |
|
303 | # snrdB=10.*numpy.log10(snr) | |
| 304 | # |
|
304 | # | |
| 305 | # #if snrdB < -9 : |
|
305 | # #if snrdB < -9 : | |
| 306 | # # snrdB = numpy.NaN |
|
306 | # # snrdB = numpy.NaN | |
| 307 | # # continue |
|
307 | # # continue | |
| 308 | # |
|
308 | # | |
| 309 | # #print 'snr',snrdB # , sum(spcs) , tot_noise |
|
309 | # #print 'snr',snrdB # , sum(spcs) , tot_noise | |
| 310 | # |
|
310 | # | |
| 311 | # |
|
311 | # | |
| 312 | # #if snrdB<-18 or numpy.isnan(snrdB) or num_intg<4: |
|
312 | # #if snrdB<-18 or numpy.isnan(snrdB) or num_intg<4: | |
| 313 | # # return [None,]*4,[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None |
|
313 | # # return [None,]*4,[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None | |
| 314 | # |
|
314 | # | |
| 315 | # cummax=max(cum); epsi=0.08*fatspectra # cumsum to narrow down the energy region |
|
315 | # cummax=max(cum); epsi=0.08*fatspectra # cumsum to narrow down the energy region | |
| 316 | # cumlo=cummax*epsi; |
|
316 | # cumlo=cummax*epsi; | |
| 317 | # cumhi=cummax*(1-epsi) |
|
317 | # cumhi=cummax*(1-epsi) | |
| 318 | # powerindex=numpy.array(numpy.where(numpy.logical_and(cum>cumlo, cum<cumhi))[0]) |
|
318 | # powerindex=numpy.array(numpy.where(numpy.logical_and(cum>cumlo, cum<cumhi))[0]) | |
| 319 | # |
|
319 | # | |
| 320 | # #if len(powerindex)==1: |
|
320 | # #if len(powerindex)==1: | |
| 321 | # ##return [numpy.mod(powerindex[0]+minx,64),None,None,None,],[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None |
|
321 | # ##return [numpy.mod(powerindex[0]+minx,64),None,None,None,],[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None | |
| 322 | # #return [numpy.mod(powerindex[0]+minx, self.Num_Bin ),None,None,None,],[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None |
|
322 | # #return [numpy.mod(powerindex[0]+minx, self.Num_Bin ),None,None,None,],[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None | |
| 323 | # #elif len(powerindex)<4*fatspectra: |
|
323 | # #elif len(powerindex)<4*fatspectra: | |
| 324 | # #return [None,]*4,[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None |
|
324 | # #return [None,]*4,[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None | |
| 325 | # |
|
325 | # | |
| 326 | # if len(powerindex) < 1:# case for powerindex 0 |
|
326 | # if len(powerindex) < 1:# case for powerindex 0 | |
| 327 | # continue |
|
327 | # continue | |
| 328 | # powerlo=powerindex[0] |
|
328 | # powerlo=powerindex[0] | |
| 329 | # powerhi=powerindex[-1] |
|
329 | # powerhi=powerindex[-1] | |
| 330 | # powerwidth=powerhi-powerlo |
|
330 | # powerwidth=powerhi-powerlo | |
| 331 | # |
|
331 | # | |
| 332 | # firstpeak=powerlo+powerwidth/10.# first gaussian energy location |
|
332 | # firstpeak=powerlo+powerwidth/10.# first gaussian energy location | |
| 333 | # secondpeak=powerhi-powerwidth/10.#second gaussian energy location |
|
333 | # secondpeak=powerhi-powerwidth/10.#second gaussian energy location | |
| 334 | # midpeak=(firstpeak+secondpeak)/2. |
|
334 | # midpeak=(firstpeak+secondpeak)/2. | |
| 335 | # firstamp=spcs[int(firstpeak)] |
|
335 | # firstamp=spcs[int(firstpeak)] | |
| 336 | # secondamp=spcs[int(secondpeak)] |
|
336 | # secondamp=spcs[int(secondpeak)] | |
| 337 | # midamp=spcs[int(midpeak)] |
|
337 | # midamp=spcs[int(midpeak)] | |
| 338 | # #x=numpy.spc.shape[1] |
|
338 | # #x=numpy.spc.shape[1] | |
| 339 | # |
|
339 | # | |
| 340 | # #x=numpy.arange(64) |
|
340 | # #x=numpy.arange(64) | |
| 341 | # x=numpy.arange( self.Num_Bin ) |
|
341 | # x=numpy.arange( self.Num_Bin ) | |
| 342 | # y_data=spc+wnoise |
|
342 | # y_data=spc+wnoise | |
| 343 | # |
|
343 | # | |
| 344 | # # single gaussian |
|
344 | # # single gaussian | |
| 345 | # #shift0=numpy.mod(midpeak+minx,64) |
|
345 | # #shift0=numpy.mod(midpeak+minx,64) | |
| 346 | # shift0=numpy.mod(midpeak+minx, self.Num_Bin ) |
|
346 | # shift0=numpy.mod(midpeak+minx, self.Num_Bin ) | |
| 347 | # width0=powerwidth/4.#Initialization entire power of spectrum divided by 4 |
|
347 | # width0=powerwidth/4.#Initialization entire power of spectrum divided by 4 | |
| 348 | # power0=2. |
|
348 | # power0=2. | |
| 349 | # amplitude0=midamp |
|
349 | # amplitude0=midamp | |
| 350 | # state0=[shift0,width0,amplitude0,power0,wnoise] |
|
350 | # state0=[shift0,width0,amplitude0,power0,wnoise] | |
| 351 | # #bnds=((0,63),(1,powerwidth),(0,None),(0.5,3.),(noisebl,noisebh)) |
|
351 | # #bnds=((0,63),(1,powerwidth),(0,None),(0.5,3.),(noisebl,noisebh)) | |
| 352 | # bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth),(0,None),(0.5,3.),(noisebl,noisebh)) |
|
352 | # bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth),(0,None),(0.5,3.),(noisebl,noisebh)) | |
| 353 | # #bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth),(0,None),(0.5,3.),(0.1,0.5)) |
|
353 | # #bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth),(0,None),(0.5,3.),(0.1,0.5)) | |
| 354 | # # bnds = range of fft, power width, amplitude, power, noise |
|
354 | # # bnds = range of fft, power width, amplitude, power, noise | |
| 355 | # lsq1=fmin_l_bfgs_b(self.misfit1,state0,args=(y_data,x,num_intg),bounds=bnds,approx_grad=True) |
|
355 | # lsq1=fmin_l_bfgs_b(self.misfit1,state0,args=(y_data,x,num_intg),bounds=bnds,approx_grad=True) | |
| 356 | # |
|
356 | # | |
| 357 | # chiSq1=lsq1[1]; |
|
357 | # chiSq1=lsq1[1]; | |
| 358 | # jack1= self.y_jacobian1(x,lsq1[0]) |
|
358 | # jack1= self.y_jacobian1(x,lsq1[0]) | |
| 359 | # |
|
359 | # | |
| 360 | # |
|
360 | # | |
| 361 | # try: |
|
361 | # try: | |
| 362 | # sigmas1=numpy.sqrt(chiSq1*numpy.diag(numpy.linalg.inv(numpy.dot(jack1.T,jack1)))) |
|
362 | # sigmas1=numpy.sqrt(chiSq1*numpy.diag(numpy.linalg.inv(numpy.dot(jack1.T,jack1)))) | |
| 363 | # except: |
|
363 | # except: | |
| 364 | # std1=32.; sigmas1=numpy.ones(5) |
|
364 | # std1=32.; sigmas1=numpy.ones(5) | |
| 365 | # else: |
|
365 | # else: | |
| 366 | # std1=sigmas1[0] |
|
366 | # std1=sigmas1[0] | |
| 367 | # |
|
367 | # | |
| 368 | # |
|
368 | # | |
| 369 | # if fatspectra<1.0 and powerwidth<4: |
|
369 | # if fatspectra<1.0 and powerwidth<4: | |
| 370 | # choice=0 |
|
370 | # choice=0 | |
| 371 | # Amplitude0=lsq1[0][2] |
|
371 | # Amplitude0=lsq1[0][2] | |
| 372 | # shift0=lsq1[0][0] |
|
372 | # shift0=lsq1[0][0] | |
| 373 | # width0=lsq1[0][1] |
|
373 | # width0=lsq1[0][1] | |
| 374 | # p0=lsq1[0][3] |
|
374 | # p0=lsq1[0][3] | |
| 375 | # Amplitude1=0. |
|
375 | # Amplitude1=0. | |
| 376 | # shift1=0. |
|
376 | # shift1=0. | |
| 377 | # width1=0. |
|
377 | # width1=0. | |
| 378 | # p1=0. |
|
378 | # p1=0. | |
| 379 | # noise=lsq1[0][4] |
|
379 | # noise=lsq1[0][4] | |
| 380 | # #return (numpy.array([shift0,width0,Amplitude0,p0]), |
|
380 | # #return (numpy.array([shift0,width0,Amplitude0,p0]), | |
| 381 | # # numpy.array([shift1,width1,Amplitude1,p1]),noise,snrdB,chiSq1,6.,sigmas1,[None,]*9,choice) |
|
381 | # # numpy.array([shift1,width1,Amplitude1,p1]),noise,snrdB,chiSq1,6.,sigmas1,[None,]*9,choice) | |
| 382 | # |
|
382 | # | |
| 383 | # # two gaussians |
|
383 | # # two gaussians | |
| 384 | # #shift0=numpy.mod(firstpeak+minx,64); shift1=numpy.mod(secondpeak+minx,64) |
|
384 | # #shift0=numpy.mod(firstpeak+minx,64); shift1=numpy.mod(secondpeak+minx,64) | |
| 385 | # shift0=numpy.mod(firstpeak+minx, self.Num_Bin ); |
|
385 | # shift0=numpy.mod(firstpeak+minx, self.Num_Bin ); | |
| 386 | # shift1=numpy.mod(secondpeak+minx, self.Num_Bin ) |
|
386 | # shift1=numpy.mod(secondpeak+minx, self.Num_Bin ) | |
| 387 | # width0=powerwidth/6.; |
|
387 | # width0=powerwidth/6.; | |
| 388 | # width1=width0 |
|
388 | # width1=width0 | |
| 389 | # power0=2.; |
|
389 | # power0=2.; | |
| 390 | # power1=power0 |
|
390 | # power1=power0 | |
| 391 | # amplitude0=firstamp; |
|
391 | # amplitude0=firstamp; | |
| 392 | # amplitude1=secondamp |
|
392 | # amplitude1=secondamp | |
| 393 | # state0=[shift0,width0,amplitude0,power0,shift1,width1,amplitude1,power1,wnoise] |
|
393 | # state0=[shift0,width0,amplitude0,power0,shift1,width1,amplitude1,power1,wnoise] | |
| 394 | # #bnds=((0,63),(1,powerwidth/2.),(0,None),(0.5,3.),(0,63),(1,powerwidth/2.),(0,None),(0.5,3.),(noisebl,noisebh)) |
|
394 | # #bnds=((0,63),(1,powerwidth/2.),(0,None),(0.5,3.),(0,63),(1,powerwidth/2.),(0,None),(0.5,3.),(noisebl,noisebh)) | |
| 395 | # bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth/2.),(0,None),(0.5,3.),( 0,(self.Num_Bin-1)),(1,powerwidth/2.),(0,None),(0.5,3.),(noisebl,noisebh)) |
|
395 | # bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth/2.),(0,None),(0.5,3.),( 0,(self.Num_Bin-1)),(1,powerwidth/2.),(0,None),(0.5,3.),(noisebl,noisebh)) | |
| 396 | # #bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth/2.),(0,None),(0.5,3.),( 0,(self.Num_Bin-1)),(1,powerwidth/2.),(0,None),(0.5,3.),(0.1,0.5)) |
|
396 | # #bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth/2.),(0,None),(0.5,3.),( 0,(self.Num_Bin-1)),(1,powerwidth/2.),(0,None),(0.5,3.),(0.1,0.5)) | |
| 397 | # |
|
397 | # | |
| 398 | # lsq2=fmin_l_bfgs_b(self.misfit2,state0,args=(y_data,x,num_intg),bounds=bnds,approx_grad=True) |
|
398 | # lsq2=fmin_l_bfgs_b(self.misfit2,state0,args=(y_data,x,num_intg),bounds=bnds,approx_grad=True) | |
| 399 | # |
|
399 | # | |
| 400 | # |
|
400 | # | |
| 401 | # chiSq2=lsq2[1]; jack2=self.y_jacobian2(x,lsq2[0]) |
|
401 | # chiSq2=lsq2[1]; jack2=self.y_jacobian2(x,lsq2[0]) | |
| 402 | # |
|
402 | # | |
| 403 | # |
|
403 | # | |
| 404 | # try: |
|
404 | # try: | |
| 405 | # sigmas2=numpy.sqrt(chiSq2*numpy.diag(numpy.linalg.inv(numpy.dot(jack2.T,jack2)))) |
|
405 | # sigmas2=numpy.sqrt(chiSq2*numpy.diag(numpy.linalg.inv(numpy.dot(jack2.T,jack2)))) | |
| 406 | # except: |
|
406 | # except: | |
| 407 | # std2a=32.; std2b=32.; sigmas2=numpy.ones(9) |
|
407 | # std2a=32.; std2b=32.; sigmas2=numpy.ones(9) | |
| 408 | # else: |
|
408 | # else: | |
| 409 | # std2a=sigmas2[0]; std2b=sigmas2[4] |
|
409 | # std2a=sigmas2[0]; std2b=sigmas2[4] | |
| 410 | # |
|
410 | # | |
| 411 | # |
|
411 | # | |
| 412 | # |
|
412 | # | |
| 413 | # oneG=(chiSq1<5 and chiSq1/chiSq2<2.0) and (abs(lsq2[0][0]-lsq2[0][4])<(lsq2[0][1]+lsq2[0][5])/3. or abs(lsq2[0][0]-lsq2[0][4])<10) |
|
413 | # oneG=(chiSq1<5 and chiSq1/chiSq2<2.0) and (abs(lsq2[0][0]-lsq2[0][4])<(lsq2[0][1]+lsq2[0][5])/3. or abs(lsq2[0][0]-lsq2[0][4])<10) | |
| 414 | # |
|
414 | # | |
| 415 | # if snrdB>-9: # when SNR is strong pick the peak with least shift (LOS velocity) error |
|
415 | # if snrdB>-9: # when SNR is strong pick the peak with least shift (LOS velocity) error | |
| 416 | # if oneG: |
|
416 | # if oneG: | |
| 417 | # choice=0 |
|
417 | # choice=0 | |
| 418 | # else: |
|
418 | # else: | |
| 419 | # w1=lsq2[0][1]; w2=lsq2[0][5] |
|
419 | # w1=lsq2[0][1]; w2=lsq2[0][5] | |
| 420 | # a1=lsq2[0][2]; a2=lsq2[0][6] |
|
420 | # a1=lsq2[0][2]; a2=lsq2[0][6] | |
| 421 | # p1=lsq2[0][3]; p2=lsq2[0][7] |
|
421 | # p1=lsq2[0][3]; p2=lsq2[0][7] | |
| 422 | # s1=(2**(1+1./p1))*scipy.special.gamma(1./p1)/p1; s2=(2**(1+1./p2))*scipy.special.gamma(1./p2)/p2; |
|
422 | # s1=(2**(1+1./p1))*scipy.special.gamma(1./p1)/p1; s2=(2**(1+1./p2))*scipy.special.gamma(1./p2)/p2; | |
| 423 | # gp1=a1*w1*s1; gp2=a2*w2*s2 # power content of each ggaussian with proper p scaling |
|
423 | # gp1=a1*w1*s1; gp2=a2*w2*s2 # power content of each ggaussian with proper p scaling | |
| 424 | # |
|
424 | # | |
| 425 | # if gp1>gp2: |
|
425 | # if gp1>gp2: | |
| 426 | # if a1>0.7*a2: |
|
426 | # if a1>0.7*a2: | |
| 427 | # choice=1 |
|
427 | # choice=1 | |
| 428 | # else: |
|
428 | # else: | |
| 429 | # choice=2 |
|
429 | # choice=2 | |
| 430 | # elif gp2>gp1: |
|
430 | # elif gp2>gp1: | |
| 431 | # if a2>0.7*a1: |
|
431 | # if a2>0.7*a1: | |
| 432 | # choice=2 |
|
432 | # choice=2 | |
| 433 | # else: |
|
433 | # else: | |
| 434 | # choice=1 |
|
434 | # choice=1 | |
| 435 | # else: |
|
435 | # else: | |
| 436 | # choice=numpy.argmax([a1,a2])+1 |
|
436 | # choice=numpy.argmax([a1,a2])+1 | |
| 437 | # #else: |
|
437 | # #else: | |
| 438 | # #choice=argmin([std2a,std2b])+1 |
|
438 | # #choice=argmin([std2a,std2b])+1 | |
| 439 | # |
|
439 | # | |
| 440 | # else: # with low SNR go to the most energetic peak |
|
440 | # else: # with low SNR go to the most energetic peak | |
| 441 | # choice=numpy.argmax([lsq1[0][2]*lsq1[0][1],lsq2[0][2]*lsq2[0][1],lsq2[0][6]*lsq2[0][5]]) |
|
441 | # choice=numpy.argmax([lsq1[0][2]*lsq1[0][1],lsq2[0][2]*lsq2[0][1],lsq2[0][6]*lsq2[0][5]]) | |
| 442 | # |
|
442 | # | |
| 443 | # #print 'choice',choice |
|
443 | # #print 'choice',choice | |
| 444 | # |
|
444 | # | |
| 445 | # if choice==0: # pick the single gaussian fit |
|
445 | # if choice==0: # pick the single gaussian fit | |
| 446 | # Amplitude0=lsq1[0][2] |
|
446 | # Amplitude0=lsq1[0][2] | |
| 447 | # shift0=lsq1[0][0] |
|
447 | # shift0=lsq1[0][0] | |
| 448 | # width0=lsq1[0][1] |
|
448 | # width0=lsq1[0][1] | |
| 449 | # p0=lsq1[0][3] |
|
449 | # p0=lsq1[0][3] | |
| 450 | # Amplitude1=0. |
|
450 | # Amplitude1=0. | |
| 451 | # shift1=0. |
|
451 | # shift1=0. | |
| 452 | # width1=0. |
|
452 | # width1=0. | |
| 453 | # p1=0. |
|
453 | # p1=0. | |
| 454 | # noise=lsq1[0][4] |
|
454 | # noise=lsq1[0][4] | |
| 455 | # elif choice==1: # take the first one of the 2 gaussians fitted |
|
455 | # elif choice==1: # take the first one of the 2 gaussians fitted | |
| 456 | # Amplitude0 = lsq2[0][2] |
|
456 | # Amplitude0 = lsq2[0][2] | |
| 457 | # shift0 = lsq2[0][0] |
|
457 | # shift0 = lsq2[0][0] | |
| 458 | # width0 = lsq2[0][1] |
|
458 | # width0 = lsq2[0][1] | |
| 459 | # p0 = lsq2[0][3] |
|
459 | # p0 = lsq2[0][3] | |
| 460 | # Amplitude1 = lsq2[0][6] # This is 0 in gg1 |
|
460 | # Amplitude1 = lsq2[0][6] # This is 0 in gg1 | |
| 461 | # shift1 = lsq2[0][4] # This is 0 in gg1 |
|
461 | # shift1 = lsq2[0][4] # This is 0 in gg1 | |
| 462 | # width1 = lsq2[0][5] # This is 0 in gg1 |
|
462 | # width1 = lsq2[0][5] # This is 0 in gg1 | |
| 463 | # p1 = lsq2[0][7] # This is 0 in gg1 |
|
463 | # p1 = lsq2[0][7] # This is 0 in gg1 | |
| 464 | # noise = lsq2[0][8] |
|
464 | # noise = lsq2[0][8] | |
| 465 | # else: # the second one |
|
465 | # else: # the second one | |
| 466 | # Amplitude0 = lsq2[0][6] |
|
466 | # Amplitude0 = lsq2[0][6] | |
| 467 | # shift0 = lsq2[0][4] |
|
467 | # shift0 = lsq2[0][4] | |
| 468 | # width0 = lsq2[0][5] |
|
468 | # width0 = lsq2[0][5] | |
| 469 | # p0 = lsq2[0][7] |
|
469 | # p0 = lsq2[0][7] | |
| 470 | # Amplitude1 = lsq2[0][2] # This is 0 in gg1 |
|
470 | # Amplitude1 = lsq2[0][2] # This is 0 in gg1 | |
| 471 | # shift1 = lsq2[0][0] # This is 0 in gg1 |
|
471 | # shift1 = lsq2[0][0] # This is 0 in gg1 | |
| 472 | # width1 = lsq2[0][1] # This is 0 in gg1 |
|
472 | # width1 = lsq2[0][1] # This is 0 in gg1 | |
| 473 | # p1 = lsq2[0][3] # This is 0 in gg1 |
|
473 | # p1 = lsq2[0][3] # This is 0 in gg1 | |
| 474 | # noise = lsq2[0][8] |
|
474 | # noise = lsq2[0][8] | |
| 475 | # |
|
475 | # | |
| 476 | # #print len(noise + Amplitude0*numpy.exp(-0.5*(abs(x-shift0))/width0)**p0) |
|
476 | # #print len(noise + Amplitude0*numpy.exp(-0.5*(abs(x-shift0))/width0)**p0) | |
| 477 | # SPC_ch1[:,ht] = noise + Amplitude0*numpy.exp(-0.5*(abs(x-shift0))/width0)**p0 |
|
477 | # SPC_ch1[:,ht] = noise + Amplitude0*numpy.exp(-0.5*(abs(x-shift0))/width0)**p0 | |
| 478 | # SPC_ch2[:,ht] = noise + Amplitude1*numpy.exp(-0.5*(abs(x-shift1))/width1)**p1 |
|
478 | # SPC_ch2[:,ht] = noise + Amplitude1*numpy.exp(-0.5*(abs(x-shift1))/width1)**p1 | |
| 479 | # #print 'SPC_ch1.shape',SPC_ch1.shape |
|
479 | # #print 'SPC_ch1.shape',SPC_ch1.shape | |
| 480 | # #print 'SPC_ch2.shape',SPC_ch2.shape |
|
480 | # #print 'SPC_ch2.shape',SPC_ch2.shape | |
| 481 | # #dataOut.data_param = SPC_ch1 |
|
481 | # #dataOut.data_param = SPC_ch1 | |
| 482 | # GauSPC[0] = SPC_ch1 |
|
482 | # GauSPC[0] = SPC_ch1 | |
| 483 | # GauSPC[1] = SPC_ch2 |
|
483 | # GauSPC[1] = SPC_ch2 | |
| 484 |
|
484 | |||
| 485 | # #plt.gcf().clear() |
|
485 | # #plt.gcf().clear() | |
| 486 | # plt.figure(50+self.i) |
|
486 | # plt.figure(50+self.i) | |
| 487 | # self.i=self.i+1 |
|
487 | # self.i=self.i+1 | |
| 488 | # #plt.subplot(121) |
|
488 | # #plt.subplot(121) | |
| 489 | # plt.plot(self.spc,'k')#,label='spc(66)') |
|
489 | # plt.plot(self.spc,'k')#,label='spc(66)') | |
| 490 | # plt.plot(SPC_ch1[ch,ht],'b')#,label='gg1') |
|
490 | # plt.plot(SPC_ch1[ch,ht],'b')#,label='gg1') | |
| 491 | # #plt.plot(SPC_ch2,'r')#,label='gg2') |
|
491 | # #plt.plot(SPC_ch2,'r')#,label='gg2') | |
| 492 | # #plt.plot(xFrec,ySamples[1],'g',label='Ch1') |
|
492 | # #plt.plot(xFrec,ySamples[1],'g',label='Ch1') | |
| 493 | # #plt.plot(xFrec,ySamples[2],'r',label='Ch2') |
|
493 | # #plt.plot(xFrec,ySamples[2],'r',label='Ch2') | |
| 494 | # #plt.plot(xFrec,FitGauss,'yo:',label='fit') |
|
494 | # #plt.plot(xFrec,FitGauss,'yo:',label='fit') | |
| 495 | # plt.legend() |
|
495 | # plt.legend() | |
| 496 | # plt.title('DATOS A ALTURA DE 7500 METROS') |
|
496 | # plt.title('DATOS A ALTURA DE 7500 METROS') | |
| 497 | # plt.show() |
|
497 | # plt.show() | |
| 498 | # print 'shift0', shift0 |
|
498 | # print 'shift0', shift0 | |
| 499 | # print 'Amplitude0', Amplitude0 |
|
499 | # print 'Amplitude0', Amplitude0 | |
| 500 | # print 'width0', width0 |
|
500 | # print 'width0', width0 | |
| 501 | # print 'p0', p0 |
|
501 | # print 'p0', p0 | |
| 502 | # print '========================' |
|
502 | # print '========================' | |
| 503 | # print 'shift1', shift1 |
|
503 | # print 'shift1', shift1 | |
| 504 | # print 'Amplitude1', Amplitude1 |
|
504 | # print 'Amplitude1', Amplitude1 | |
| 505 | # print 'width1', width1 |
|
505 | # print 'width1', width1 | |
| 506 | # print 'p1', p1 |
|
506 | # print 'p1', p1 | |
| 507 | # print 'noise', noise |
|
507 | # print 'noise', noise | |
| 508 | # print 's_noise', wnoise |
|
508 | # print 's_noise', wnoise | |
| 509 |
|
509 | |||
| 510 | print '========================================================' |
|
510 | print '========================================================' | |
| 511 | print 'total_time: ', time.time()-start_time |
|
511 | print 'total_time: ', time.time()-start_time | |
| 512 |
|
512 | |||
| 513 | # re-normalizing spc and noise |
|
513 | # re-normalizing spc and noise | |
| 514 | # This part differs from gg1 |
|
514 | # This part differs from gg1 | |
| 515 |
|
515 | |||
| 516 |
|
516 | |||
| 517 |
|
517 | |||
| 518 | ''' Parameters: |
|
518 | ''' Parameters: | |
| 519 | 1. Amplitude |
|
519 | 1. Amplitude | |
| 520 | 2. Shift |
|
520 | 2. Shift | |
| 521 | 3. Width |
|
521 | 3. Width | |
| 522 | 4. Power |
|
522 | 4. Power | |
| 523 | ''' |
|
523 | ''' | |
| 524 |
|
524 | |||
| 525 |
|
525 | |||
| 526 | ############################################################################### |
|
526 | ############################################################################### | |
| 527 | def FitGau(self, X): |
|
527 | def FitGau(self, X): | |
| 528 |
|
528 | |||
| 529 | Vrange, ch, pnoise, noise_, num_intg, SNRlimit = X |
|
529 | Vrange, ch, pnoise, noise_, num_intg, SNRlimit = X | |
| 530 | #print 'VARSSSS', ch, pnoise, noise, num_intg |
|
530 | #print 'VARSSSS', ch, pnoise, noise, num_intg | |
| 531 |
|
531 | |||
| 532 | #print 'HEIGHTS', self.Num_Hei |
|
532 | #print 'HEIGHTS', self.Num_Hei | |
| 533 |
|
533 | |||
| 534 | GauSPC = [] |
|
534 | GauSPC = [] | |
| 535 | SPC_ch1 = numpy.empty([self.Num_Bin,self.Num_Hei]) |
|
535 | SPC_ch1 = numpy.empty([self.Num_Bin,self.Num_Hei]) | |
| 536 | SPC_ch2 = numpy.empty([self.Num_Bin,self.Num_Hei]) |
|
536 | SPC_ch2 = numpy.empty([self.Num_Bin,self.Num_Hei]) | |
| 537 | SPC_ch1[:] = 0#numpy.NaN |
|
537 | SPC_ch1[:] = 0#numpy.NaN | |
| 538 | SPC_ch2[:] = 0#numpy.NaN |
|
538 | SPC_ch2[:] = 0#numpy.NaN | |
| 539 |
|
539 | |||
| 540 |
|
540 | |||
| 541 |
|
541 | |||
| 542 | for ht in range(self.Num_Hei): |
|
542 | for ht in range(self.Num_Hei): | |
| 543 | #print (numpy.asarray(self.spc).shape) |
|
543 | #print (numpy.asarray(self.spc).shape) | |
| 544 |
|
544 | |||
| 545 | #print 'TTTTT', ch , ht |
|
545 | #print 'TTTTT', ch , ht | |
| 546 | #print self.spc.shape |
|
546 | #print self.spc.shape | |
| 547 |
|
547 | |||
| 548 |
|
548 | |||
| 549 | spc = numpy.asarray(self.spc)[ch,:,ht] |
|
549 | spc = numpy.asarray(self.spc)[ch,:,ht] | |
| 550 |
|
550 | |||
| 551 | ############################################# |
|
551 | ############################################# | |
| 552 | # normalizing spc and noise |
|
552 | # normalizing spc and noise | |
| 553 | # This part differs from gg1 |
|
553 | # This part differs from gg1 | |
| 554 | spc_norm_max = max(spc) |
|
554 | spc_norm_max = max(spc) | |
| 555 | spc = spc / spc_norm_max |
|
555 | spc = spc / spc_norm_max | |
| 556 | pnoise = pnoise / spc_norm_max |
|
556 | pnoise = pnoise / spc_norm_max | |
| 557 | ############################################# |
|
557 | ############################################# | |
| 558 |
|
558 | |||
| 559 | fatspectra=1.0 |
|
559 | fatspectra=1.0 | |
| 560 |
|
560 | |||
| 561 | wnoise = noise_ / spc_norm_max |
|
561 | wnoise = noise_ / spc_norm_max | |
| 562 | #wnoise,stdv,i_max,index =enoise(spc,num_intg) #noise estimate using Hildebrand Sekhon, only wnoise is used |
|
562 | #wnoise,stdv,i_max,index =enoise(spc,num_intg) #noise estimate using Hildebrand Sekhon, only wnoise is used | |
| 563 | #if wnoise>1.1*pnoise: # to be tested later |
|
563 | #if wnoise>1.1*pnoise: # to be tested later | |
| 564 | # wnoise=pnoise |
|
564 | # wnoise=pnoise | |
| 565 | noisebl=wnoise*0.9; noisebh=wnoise*1.1 |
|
565 | noisebl=wnoise*0.9; noisebh=wnoise*1.1 | |
| 566 | spc=spc-wnoise |
|
566 | spc=spc-wnoise | |
| 567 | # print 'wnoise', noise_[0], spc_norm_max, wnoise |
|
567 | # print 'wnoise', noise_[0], spc_norm_max, wnoise | |
| 568 | minx=numpy.argmin(spc) |
|
568 | minx=numpy.argmin(spc) | |
| 569 | spcs=numpy.roll(spc,-minx) |
|
569 | spcs=numpy.roll(spc,-minx) | |
| 570 | cum=numpy.cumsum(spcs) |
|
570 | cum=numpy.cumsum(spcs) | |
| 571 | tot_noise=wnoise * self.Num_Bin #64; |
|
571 | tot_noise=wnoise * self.Num_Bin #64; | |
| 572 | #print 'spc' , spcs[5:8] , 'tot_noise', tot_noise |
|
572 | #print 'spc' , spcs[5:8] , 'tot_noise', tot_noise | |
| 573 | #tot_signal=sum(cum[-5:])/5.; ''' How does this line work? ''' |
|
573 | #tot_signal=sum(cum[-5:])/5.; ''' How does this line work? ''' | |
| 574 | #snr=tot_signal/tot_noise |
|
574 | #snr=tot_signal/tot_noise | |
| 575 | #snr=cum[-1]/tot_noise |
|
575 | #snr=cum[-1]/tot_noise | |
| 576 | snr = sum(spcs)/tot_noise |
|
576 | snr = sum(spcs)/tot_noise | |
| 577 | snrdB=10.*numpy.log10(snr) |
|
577 | snrdB=10.*numpy.log10(snr) | |
| 578 |
|
578 | |||
| 579 | if snrdB < SNRlimit : |
|
579 | if snrdB < SNRlimit : | |
| 580 | snr = numpy.NaN |
|
580 | snr = numpy.NaN | |
| 581 | SPC_ch1[:,ht] = 0#numpy.NaN |
|
581 | SPC_ch1[:,ht] = 0#numpy.NaN | |
| 582 | SPC_ch1[:,ht] = 0#numpy.NaN |
|
582 | SPC_ch1[:,ht] = 0#numpy.NaN | |
| 583 | GauSPC = (SPC_ch1,SPC_ch2) |
|
583 | GauSPC = (SPC_ch1,SPC_ch2) | |
| 584 | continue |
|
584 | continue | |
| 585 | #print 'snr',snrdB #, sum(spcs) , tot_noise |
|
585 | #print 'snr',snrdB #, sum(spcs) , tot_noise | |
| 586 |
|
586 | |||
| 587 |
|
587 | |||
| 588 |
|
588 | |||
| 589 | #if snrdB<-18 or numpy.isnan(snrdB) or num_intg<4: |
|
589 | #if snrdB<-18 or numpy.isnan(snrdB) or num_intg<4: | |
| 590 | # return [None,]*4,[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None |
|
590 | # return [None,]*4,[None,]*4,None,snrdB,None,None,[None,]*5,[None,]*9,None | |
| 591 |
|
591 | |||
| 592 | cummax=max(cum); epsi=0.08*fatspectra # cumsum to narrow down the energy region |
|
592 | cummax=max(cum); epsi=0.08*fatspectra # cumsum to narrow down the energy region | |
| 593 | cumlo=cummax*epsi; |
|
593 | cumlo=cummax*epsi; | |
| 594 | cumhi=cummax*(1-epsi) |
|
594 | cumhi=cummax*(1-epsi) | |
| 595 | powerindex=numpy.array(numpy.where(numpy.logical_and(cum>cumlo, cum<cumhi))[0]) |
|
595 | powerindex=numpy.array(numpy.where(numpy.logical_and(cum>cumlo, cum<cumhi))[0]) | |
| 596 |
|
596 | |||
| 597 |
|
597 | |||
| 598 | if len(powerindex) < 1:# case for powerindex 0 |
|
598 | if len(powerindex) < 1:# case for powerindex 0 | |
| 599 | continue |
|
599 | continue | |
| 600 | powerlo=powerindex[0] |
|
600 | powerlo=powerindex[0] | |
| 601 | powerhi=powerindex[-1] |
|
601 | powerhi=powerindex[-1] | |
| 602 | powerwidth=powerhi-powerlo |
|
602 | powerwidth=powerhi-powerlo | |
| 603 |
|
603 | |||
| 604 | firstpeak=powerlo+powerwidth/10.# first gaussian energy location |
|
604 | firstpeak=powerlo+powerwidth/10.# first gaussian energy location | |
| 605 | secondpeak=powerhi-powerwidth/10.#second gaussian energy location |
|
605 | secondpeak=powerhi-powerwidth/10.#second gaussian energy location | |
| 606 | midpeak=(firstpeak+secondpeak)/2. |
|
606 | midpeak=(firstpeak+secondpeak)/2. | |
| 607 | firstamp=spcs[int(firstpeak)] |
|
607 | firstamp=spcs[int(firstpeak)] | |
| 608 | secondamp=spcs[int(secondpeak)] |
|
608 | secondamp=spcs[int(secondpeak)] | |
| 609 | midamp=spcs[int(midpeak)] |
|
609 | midamp=spcs[int(midpeak)] | |
| 610 |
|
610 | |||
| 611 | x=numpy.arange( self.Num_Bin ) |
|
611 | x=numpy.arange( self.Num_Bin ) | |
| 612 | y_data=spc+wnoise |
|
612 | y_data=spc+wnoise | |
| 613 |
|
613 | |||
| 614 | # single gaussian |
|
614 | # single gaussian | |
| 615 | shift0=numpy.mod(midpeak+minx, self.Num_Bin ) |
|
615 | shift0=numpy.mod(midpeak+minx, self.Num_Bin ) | |
| 616 | width0=powerwidth/4.#Initialization entire power of spectrum divided by 4 |
|
616 | width0=powerwidth/4.#Initialization entire power of spectrum divided by 4 | |
| 617 | power0=2. |
|
617 | power0=2. | |
| 618 | amplitude0=midamp |
|
618 | amplitude0=midamp | |
| 619 | state0=[shift0,width0,amplitude0,power0,wnoise] |
|
619 | state0=[shift0,width0,amplitude0,power0,wnoise] | |
| 620 | bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth),(0,None),(0.5,3.),(noisebl,noisebh)) |
|
620 | bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth),(0,None),(0.5,3.),(noisebl,noisebh)) | |
| 621 | lsq1=fmin_l_bfgs_b(self.misfit1,state0,args=(y_data,x,num_intg),bounds=bnds,approx_grad=True) |
|
621 | lsq1=fmin_l_bfgs_b(self.misfit1,state0,args=(y_data,x,num_intg),bounds=bnds,approx_grad=True) | |
| 622 |
|
622 | |||
| 623 | chiSq1=lsq1[1]; |
|
623 | chiSq1=lsq1[1]; | |
| 624 | jack1= self.y_jacobian1(x,lsq1[0]) |
|
624 | jack1= self.y_jacobian1(x,lsq1[0]) | |
| 625 |
|
625 | |||
| 626 |
|
626 | |||
| 627 | try: |
|
627 | try: | |
| 628 | sigmas1=numpy.sqrt(chiSq1*numpy.diag(numpy.linalg.inv(numpy.dot(jack1.T,jack1)))) |
|
628 | sigmas1=numpy.sqrt(chiSq1*numpy.diag(numpy.linalg.inv(numpy.dot(jack1.T,jack1)))) | |
| 629 | except: |
|
629 | except: | |
| 630 | std1=32.; sigmas1=numpy.ones(5) |
|
630 | std1=32.; sigmas1=numpy.ones(5) | |
| 631 | else: |
|
631 | else: | |
| 632 | std1=sigmas1[0] |
|
632 | std1=sigmas1[0] | |
| 633 |
|
633 | |||
| 634 |
|
634 | |||
| 635 | if fatspectra<1.0 and powerwidth<4: |
|
635 | if fatspectra<1.0 and powerwidth<4: | |
| 636 | choice=0 |
|
636 | choice=0 | |
| 637 | Amplitude0=lsq1[0][2] |
|
637 | Amplitude0=lsq1[0][2] | |
| 638 | shift0=lsq1[0][0] |
|
638 | shift0=lsq1[0][0] | |
| 639 | width0=lsq1[0][1] |
|
639 | width0=lsq1[0][1] | |
| 640 | p0=lsq1[0][3] |
|
640 | p0=lsq1[0][3] | |
| 641 | Amplitude1=0. |
|
641 | Amplitude1=0. | |
| 642 | shift1=0. |
|
642 | shift1=0. | |
| 643 | width1=0. |
|
643 | width1=0. | |
| 644 | p1=0. |
|
644 | p1=0. | |
| 645 | noise=lsq1[0][4] |
|
645 | noise=lsq1[0][4] | |
| 646 | #return (numpy.array([shift0,width0,Amplitude0,p0]), |
|
646 | #return (numpy.array([shift0,width0,Amplitude0,p0]), | |
| 647 | # numpy.array([shift1,width1,Amplitude1,p1]),noise,snrdB,chiSq1,6.,sigmas1,[None,]*9,choice) |
|
647 | # numpy.array([shift1,width1,Amplitude1,p1]),noise,snrdB,chiSq1,6.,sigmas1,[None,]*9,choice) | |
| 648 |
|
648 | |||
| 649 | # two gaussians |
|
649 | # two gaussians | |
| 650 | #shift0=numpy.mod(firstpeak+minx,64); shift1=numpy.mod(secondpeak+minx,64) |
|
650 | #shift0=numpy.mod(firstpeak+minx,64); shift1=numpy.mod(secondpeak+minx,64) | |
| 651 | shift0=numpy.mod(firstpeak+minx, self.Num_Bin ); |
|
651 | shift0=numpy.mod(firstpeak+minx, self.Num_Bin ); | |
| 652 | shift1=numpy.mod(secondpeak+minx, self.Num_Bin ) |
|
652 | shift1=numpy.mod(secondpeak+minx, self.Num_Bin ) | |
| 653 | width0=powerwidth/6.; |
|
653 | width0=powerwidth/6.; | |
| 654 | width1=width0 |
|
654 | width1=width0 | |
| 655 | power0=2.; |
|
655 | power0=2.; | |
| 656 | power1=power0 |
|
656 | power1=power0 | |
| 657 | amplitude0=firstamp; |
|
657 | amplitude0=firstamp; | |
| 658 | amplitude1=secondamp |
|
658 | amplitude1=secondamp | |
| 659 | state0=[shift0,width0,amplitude0,power0,shift1,width1,amplitude1,power1,wnoise] |
|
659 | state0=[shift0,width0,amplitude0,power0,shift1,width1,amplitude1,power1,wnoise] | |
| 660 | #bnds=((0,63),(1,powerwidth/2.),(0,None),(0.5,3.),(0,63),(1,powerwidth/2.),(0,None),(0.5,3.),(noisebl,noisebh)) |
|
660 | #bnds=((0,63),(1,powerwidth/2.),(0,None),(0.5,3.),(0,63),(1,powerwidth/2.),(0,None),(0.5,3.),(noisebl,noisebh)) | |
| 661 | bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth/2.),(0,None),(0.5,3.),( 0,(self.Num_Bin-1)),(1,powerwidth/2.),(0,None),(0.5,3.),(noisebl,noisebh)) |
|
661 | bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth/2.),(0,None),(0.5,3.),( 0,(self.Num_Bin-1)),(1,powerwidth/2.),(0,None),(0.5,3.),(noisebl,noisebh)) | |
| 662 | #bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth/2.),(0,None),(0.5,3.),( 0,(self.Num_Bin-1)),(1,powerwidth/2.),(0,None),(0.5,3.),(0.1,0.5)) |
|
662 | #bnds=(( 0,(self.Num_Bin-1) ),(1,powerwidth/2.),(0,None),(0.5,3.),( 0,(self.Num_Bin-1)),(1,powerwidth/2.),(0,None),(0.5,3.),(0.1,0.5)) | |
| 663 |
|
663 | |||
| 664 | lsq2=fmin_l_bfgs_b(self.misfit2,state0,args=(y_data,x,num_intg),bounds=bnds,approx_grad=True) |
|
664 | lsq2=fmin_l_bfgs_b(self.misfit2,state0,args=(y_data,x,num_intg),bounds=bnds,approx_grad=True) | |
| 665 |
|
665 | |||
| 666 |
|
666 | |||
| 667 | chiSq2=lsq2[1]; jack2=self.y_jacobian2(x,lsq2[0]) |
|
667 | chiSq2=lsq2[1]; jack2=self.y_jacobian2(x,lsq2[0]) | |
| 668 |
|
668 | |||
| 669 |
|
669 | |||
| 670 | try: |
|
670 | try: | |
| 671 | sigmas2=numpy.sqrt(chiSq2*numpy.diag(numpy.linalg.inv(numpy.dot(jack2.T,jack2)))) |
|
671 | sigmas2=numpy.sqrt(chiSq2*numpy.diag(numpy.linalg.inv(numpy.dot(jack2.T,jack2)))) | |
| 672 | except: |
|
672 | except: | |
| 673 | std2a=32.; std2b=32.; sigmas2=numpy.ones(9) |
|
673 | std2a=32.; std2b=32.; sigmas2=numpy.ones(9) | |
| 674 | else: |
|
674 | else: | |
| 675 | std2a=sigmas2[0]; std2b=sigmas2[4] |
|
675 | std2a=sigmas2[0]; std2b=sigmas2[4] | |
| 676 |
|
676 | |||
| 677 |
|
677 | |||
| 678 |
|
678 | |||
| 679 | oneG=(chiSq1<5 and chiSq1/chiSq2<2.0) and (abs(lsq2[0][0]-lsq2[0][4])<(lsq2[0][1]+lsq2[0][5])/3. or abs(lsq2[0][0]-lsq2[0][4])<10) |
|
679 | oneG=(chiSq1<5 and chiSq1/chiSq2<2.0) and (abs(lsq2[0][0]-lsq2[0][4])<(lsq2[0][1]+lsq2[0][5])/3. or abs(lsq2[0][0]-lsq2[0][4])<10) | |
| 680 |
|
680 | |||
| 681 | if snrdB>-6: # when SNR is strong pick the peak with least shift (LOS velocity) error |
|
681 | if snrdB>-6: # when SNR is strong pick the peak with least shift (LOS velocity) error | |
| 682 | if oneG: |
|
682 | if oneG: | |
| 683 | choice=0 |
|
683 | choice=0 | |
| 684 | else: |
|
684 | else: | |
| 685 | w1=lsq2[0][1]; w2=lsq2[0][5] |
|
685 | w1=lsq2[0][1]; w2=lsq2[0][5] | |
| 686 | a1=lsq2[0][2]; a2=lsq2[0][6] |
|
686 | a1=lsq2[0][2]; a2=lsq2[0][6] | |
| 687 | p1=lsq2[0][3]; p2=lsq2[0][7] |
|
687 | p1=lsq2[0][3]; p2=lsq2[0][7] | |
| 688 | s1=(2**(1+1./p1))*scipy.special.gamma(1./p1)/p1; |
|
688 | s1=(2**(1+1./p1))*scipy.special.gamma(1./p1)/p1; | |
| 689 | s2=(2**(1+1./p2))*scipy.special.gamma(1./p2)/p2; |
|
689 | s2=(2**(1+1./p2))*scipy.special.gamma(1./p2)/p2; | |
| 690 | gp1=a1*w1*s1; gp2=a2*w2*s2 # power content of each ggaussian with proper p scaling |
|
690 | gp1=a1*w1*s1; gp2=a2*w2*s2 # power content of each ggaussian with proper p scaling | |
| 691 |
|
691 | |||
| 692 | if gp1>gp2: |
|
692 | if gp1>gp2: | |
| 693 | if a1>0.7*a2: |
|
693 | if a1>0.7*a2: | |
| 694 | choice=1 |
|
694 | choice=1 | |
| 695 | else: |
|
695 | else: | |
| 696 | choice=2 |
|
696 | choice=2 | |
| 697 | elif gp2>gp1: |
|
697 | elif gp2>gp1: | |
| 698 | if a2>0.7*a1: |
|
698 | if a2>0.7*a1: | |
| 699 | choice=2 |
|
699 | choice=2 | |
| 700 | else: |
|
700 | else: | |
| 701 | choice=1 |
|
701 | choice=1 | |
| 702 | else: |
|
702 | else: | |
| 703 | choice=numpy.argmax([a1,a2])+1 |
|
703 | choice=numpy.argmax([a1,a2])+1 | |
| 704 | #else: |
|
704 | #else: | |
| 705 | #choice=argmin([std2a,std2b])+1 |
|
705 | #choice=argmin([std2a,std2b])+1 | |
| 706 |
|
706 | |||
| 707 | else: # with low SNR go to the most energetic peak |
|
707 | else: # with low SNR go to the most energetic peak | |
| 708 | choice=numpy.argmax([lsq1[0][2]*lsq1[0][1],lsq2[0][2]*lsq2[0][1],lsq2[0][6]*lsq2[0][5]]) |
|
708 | choice=numpy.argmax([lsq1[0][2]*lsq1[0][1],lsq2[0][2]*lsq2[0][1],lsq2[0][6]*lsq2[0][5]]) | |
| 709 |
|
709 | |||
| 710 |
|
710 | |||
| 711 | shift0=lsq2[0][0]; vel0=Vrange[0] + shift0*(Vrange[1]-Vrange[0]) |
|
711 | shift0=lsq2[0][0]; vel0=Vrange[0] + shift0*(Vrange[1]-Vrange[0]) | |
| 712 | shift1=lsq2[0][4]; vel1=Vrange[0] + shift1*(Vrange[1]-Vrange[0]) |
|
712 | shift1=lsq2[0][4]; vel1=Vrange[0] + shift1*(Vrange[1]-Vrange[0]) | |
| 713 |
|
713 | |||
| 714 | max_vel = 20 |
|
714 | max_vel = 20 | |
| 715 |
|
715 | |||
| 716 | #first peak will be 0, second peak will be 1 |
|
716 | #first peak will be 0, second peak will be 1 | |
| 717 | if vel0 > 0 and vel0 < max_vel : #first peak is in the correct range |
|
717 | if vel0 > 0 and vel0 < max_vel : #first peak is in the correct range | |
| 718 | shift0=lsq2[0][0] |
|
718 | shift0=lsq2[0][0] | |
| 719 | width0=lsq2[0][1] |
|
719 | width0=lsq2[0][1] | |
| 720 | Amplitude0=lsq2[0][2] |
|
720 | Amplitude0=lsq2[0][2] | |
| 721 | p0=lsq2[0][3] |
|
721 | p0=lsq2[0][3] | |
| 722 |
|
722 | |||
| 723 | shift1=lsq2[0][4] |
|
723 | shift1=lsq2[0][4] | |
| 724 | width1=lsq2[0][5] |
|
724 | width1=lsq2[0][5] | |
| 725 | Amplitude1=lsq2[0][6] |
|
725 | Amplitude1=lsq2[0][6] | |
| 726 | p1=lsq2[0][7] |
|
726 | p1=lsq2[0][7] | |
| 727 | noise=lsq2[0][8] |
|
727 | noise=lsq2[0][8] | |
| 728 | else: |
|
728 | else: | |
| 729 | shift1=lsq2[0][0] |
|
729 | shift1=lsq2[0][0] | |
| 730 | width1=lsq2[0][1] |
|
730 | width1=lsq2[0][1] | |
| 731 | Amplitude1=lsq2[0][2] |
|
731 | Amplitude1=lsq2[0][2] | |
| 732 | p1=lsq2[0][3] |
|
732 | p1=lsq2[0][3] | |
| 733 |
|
733 | |||
| 734 | shift0=lsq2[0][4] |
|
734 | shift0=lsq2[0][4] | |
| 735 | width0=lsq2[0][5] |
|
735 | width0=lsq2[0][5] | |
| 736 | Amplitude0=lsq2[0][6] |
|
736 | Amplitude0=lsq2[0][6] | |
| 737 | p0=lsq2[0][7] |
|
737 | p0=lsq2[0][7] | |
| 738 | noise=lsq2[0][8] |
|
738 | noise=lsq2[0][8] | |
| 739 |
|
739 | |||
| 740 | if Amplitude0<0.1: # in case the peak is noise |
|
740 | if Amplitude0<0.1: # in case the peak is noise | |
| 741 | shift0,width0,Amplitude0,p0 = 4*[numpy.NaN] |
|
741 | shift0,width0,Amplitude0,p0 = 4*[numpy.NaN] | |
| 742 | if Amplitude1<0.1: |
|
742 | if Amplitude1<0.1: | |
| 743 | shift1,width1,Amplitude1,p1 = 4*[numpy.NaN] |
|
743 | shift1,width1,Amplitude1,p1 = 4*[numpy.NaN] | |
| 744 |
|
744 | |||
| 745 |
|
745 | |||
| 746 | # if choice==0: # pick the single gaussian fit |
|
746 | # if choice==0: # pick the single gaussian fit | |
| 747 | # Amplitude0=lsq1[0][2] |
|
747 | # Amplitude0=lsq1[0][2] | |
| 748 | # shift0=lsq1[0][0] |
|
748 | # shift0=lsq1[0][0] | |
| 749 | # width0=lsq1[0][1] |
|
749 | # width0=lsq1[0][1] | |
| 750 | # p0=lsq1[0][3] |
|
750 | # p0=lsq1[0][3] | |
| 751 | # Amplitude1=0. |
|
751 | # Amplitude1=0. | |
| 752 | # shift1=0. |
|
752 | # shift1=0. | |
| 753 | # width1=0. |
|
753 | # width1=0. | |
| 754 | # p1=0. |
|
754 | # p1=0. | |
| 755 | # noise=lsq1[0][4] |
|
755 | # noise=lsq1[0][4] | |
| 756 | # elif choice==1: # take the first one of the 2 gaussians fitted |
|
756 | # elif choice==1: # take the first one of the 2 gaussians fitted | |
| 757 | # Amplitude0 = lsq2[0][2] |
|
757 | # Amplitude0 = lsq2[0][2] | |
| 758 | # shift0 = lsq2[0][0] |
|
758 | # shift0 = lsq2[0][0] | |
| 759 | # width0 = lsq2[0][1] |
|
759 | # width0 = lsq2[0][1] | |
| 760 | # p0 = lsq2[0][3] |
|
760 | # p0 = lsq2[0][3] | |
| 761 | # Amplitude1 = lsq2[0][6] # This is 0 in gg1 |
|
761 | # Amplitude1 = lsq2[0][6] # This is 0 in gg1 | |
| 762 | # shift1 = lsq2[0][4] # This is 0 in gg1 |
|
762 | # shift1 = lsq2[0][4] # This is 0 in gg1 | |
| 763 | # width1 = lsq2[0][5] # This is 0 in gg1 |
|
763 | # width1 = lsq2[0][5] # This is 0 in gg1 | |
| 764 | # p1 = lsq2[0][7] # This is 0 in gg1 |
|
764 | # p1 = lsq2[0][7] # This is 0 in gg1 | |
| 765 | # noise = lsq2[0][8] |
|
765 | # noise = lsq2[0][8] | |
| 766 | # else: # the second one |
|
766 | # else: # the second one | |
| 767 | # Amplitude0 = lsq2[0][6] |
|
767 | # Amplitude0 = lsq2[0][6] | |
| 768 | # shift0 = lsq2[0][4] |
|
768 | # shift0 = lsq2[0][4] | |
| 769 | # width0 = lsq2[0][5] |
|
769 | # width0 = lsq2[0][5] | |
| 770 | # p0 = lsq2[0][7] |
|
770 | # p0 = lsq2[0][7] | |
| 771 | # Amplitude1 = lsq2[0][2] # This is 0 in gg1 |
|
771 | # Amplitude1 = lsq2[0][2] # This is 0 in gg1 | |
| 772 | # shift1 = lsq2[0][0] # This is 0 in gg1 |
|
772 | # shift1 = lsq2[0][0] # This is 0 in gg1 | |
| 773 | # width1 = lsq2[0][1] # This is 0 in gg1 |
|
773 | # width1 = lsq2[0][1] # This is 0 in gg1 | |
| 774 | # p1 = lsq2[0][3] # This is 0 in gg1 |
|
774 | # p1 = lsq2[0][3] # This is 0 in gg1 | |
| 775 | # noise = lsq2[0][8] |
|
775 | # noise = lsq2[0][8] | |
| 776 |
|
776 | |||
| 777 | #print len(noise + Amplitude0*numpy.exp(-0.5*(abs(x-shift0))/width0)**p0) |
|
777 | #print len(noise + Amplitude0*numpy.exp(-0.5*(abs(x-shift0))/width0)**p0) | |
| 778 | SPC_ch1[:,ht] = noise + Amplitude0*numpy.exp(-0.5*(abs(x-shift0))/width0)**p0 |
|
778 | SPC_ch1[:,ht] = noise + Amplitude0*numpy.exp(-0.5*(abs(x-shift0))/width0)**p0 | |
| 779 | SPC_ch2[:,ht] = noise + Amplitude1*numpy.exp(-0.5*(abs(x-shift1))/width1)**p1 |
|
779 | SPC_ch2[:,ht] = noise + Amplitude1*numpy.exp(-0.5*(abs(x-shift1))/width1)**p1 | |
| 780 | #print 'SPC_ch1.shape',SPC_ch1.shape |
|
780 | #print 'SPC_ch1.shape',SPC_ch1.shape | |
| 781 | #print 'SPC_ch2.shape',SPC_ch2.shape |
|
781 | #print 'SPC_ch2.shape',SPC_ch2.shape | |
| 782 | #dataOut.data_param = SPC_ch1 |
|
782 | #dataOut.data_param = SPC_ch1 | |
| 783 | GauSPC = (SPC_ch1,SPC_ch2) |
|
783 | GauSPC = (SPC_ch1,SPC_ch2) | |
| 784 | #GauSPC[1] = SPC_ch2 |
|
784 | #GauSPC[1] = SPC_ch2 | |
| 785 |
|
785 | |||
| 786 | # print 'shift0', shift0 |
|
786 | # print 'shift0', shift0 | |
| 787 | # print 'Amplitude0', Amplitude0 |
|
787 | # print 'Amplitude0', Amplitude0 | |
| 788 | # print 'width0', width0 |
|
788 | # print 'width0', width0 | |
| 789 | # print 'p0', p0 |
|
789 | # print 'p0', p0 | |
| 790 | # print '========================' |
|
790 | # print '========================' | |
| 791 | # print 'shift1', shift1 |
|
791 | # print 'shift1', shift1 | |
| 792 | # print 'Amplitude1', Amplitude1 |
|
792 | # print 'Amplitude1', Amplitude1 | |
| 793 | # print 'width1', width1 |
|
793 | # print 'width1', width1 | |
| 794 | # print 'p1', p1 |
|
794 | # print 'p1', p1 | |
| 795 | # print 'noise', noise |
|
795 | # print 'noise', noise | |
| 796 | # print 's_noise', wnoise |
|
796 | # print 's_noise', wnoise | |
| 797 |
|
797 | |||
| 798 | return GauSPC |
|
798 | return GauSPC | |
| 799 |
|
799 | |||
| 800 |
|
800 | |||
| 801 | def y_jacobian1(self,x,state): # This function is for further analysis of generalized Gaussians, it is not too importan for the signal discrimination. |
|
801 | def y_jacobian1(self,x,state): # This function is for further analysis of generalized Gaussians, it is not too importan for the signal discrimination. | |
| 802 | y_model=self.y_model1(x,state) |
|
802 | y_model=self.y_model1(x,state) | |
| 803 | s0,w0,a0,p0,n=state |
|
803 | s0,w0,a0,p0,n=state | |
| 804 | e0=((x-s0)/w0)**2; |
|
804 | e0=((x-s0)/w0)**2; | |
| 805 |
|
805 | |||
| 806 | e0u=((x-s0-self.Num_Bin)/w0)**2; |
|
806 | e0u=((x-s0-self.Num_Bin)/w0)**2; | |
| 807 |
|
807 | |||
| 808 | e0d=((x-s0+self.Num_Bin)/w0)**2 |
|
808 | e0d=((x-s0+self.Num_Bin)/w0)**2 | |
| 809 | m0=numpy.exp(-0.5*e0**(p0/2.)); |
|
809 | m0=numpy.exp(-0.5*e0**(p0/2.)); | |
| 810 | m0u=numpy.exp(-0.5*e0u**(p0/2.)); |
|
810 | m0u=numpy.exp(-0.5*e0u**(p0/2.)); | |
| 811 | m0d=numpy.exp(-0.5*e0d**(p0/2.)) |
|
811 | m0d=numpy.exp(-0.5*e0d**(p0/2.)) | |
| 812 | JA=m0+m0u+m0d |
|
812 | JA=m0+m0u+m0d | |
| 813 | JP=(-1/4.)*a0*m0*e0**(p0/2.)*numpy.log(e0)+(-1/4.)*a0*m0u*e0u**(p0/2.)*numpy.log(e0u)+(-1/4.)*a0*m0d*e0d**(p0/2.)*numpy.log(e0d) |
|
813 | JP=(-1/4.)*a0*m0*e0**(p0/2.)*numpy.log(e0)+(-1/4.)*a0*m0u*e0u**(p0/2.)*numpy.log(e0u)+(-1/4.)*a0*m0d*e0d**(p0/2.)*numpy.log(e0d) | |
| 814 |
|
814 | |||
| 815 | JS=(p0/w0/2.)*a0*m0*e0**(p0/2.-1)*((x-s0)/w0)+(p0/w0/2.)*a0*m0u*e0u**(p0/2.-1)*((x-s0- self.Num_Bin )/w0)+(p0/w0/2.)*a0*m0d*e0d**(p0/2.-1)*((x-s0+ self.Num_Bin )/w0) |
|
815 | JS=(p0/w0/2.)*a0*m0*e0**(p0/2.-1)*((x-s0)/w0)+(p0/w0/2.)*a0*m0u*e0u**(p0/2.-1)*((x-s0- self.Num_Bin )/w0)+(p0/w0/2.)*a0*m0d*e0d**(p0/2.-1)*((x-s0+ self.Num_Bin )/w0) | |
| 816 |
|
816 | |||
| 817 | JW=(p0/w0/2.)*a0*m0*e0**(p0/2.-1)*((x-s0)/w0)**2+(p0/w0/2.)*a0*m0u*e0u**(p0/2.-1)*((x-s0- self.Num_Bin )/w0)**2+(p0/w0/2.)*a0*m0d*e0d**(p0/2.-1)*((x-s0+ self.Num_Bin )/w0)**2 |
|
817 | JW=(p0/w0/2.)*a0*m0*e0**(p0/2.-1)*((x-s0)/w0)**2+(p0/w0/2.)*a0*m0u*e0u**(p0/2.-1)*((x-s0- self.Num_Bin )/w0)**2+(p0/w0/2.)*a0*m0d*e0d**(p0/2.-1)*((x-s0+ self.Num_Bin )/w0)**2 | |
| 818 | jack1=numpy.sqrt(7)*numpy.array([JS/y_model,JW/y_model,JA/y_model,JP/y_model,1./y_model]) |
|
818 | jack1=numpy.sqrt(7)*numpy.array([JS/y_model,JW/y_model,JA/y_model,JP/y_model,1./y_model]) | |
| 819 | return jack1.T |
|
819 | return jack1.T | |
| 820 |
|
820 | |||
| 821 | def y_jacobian2(self,x,state): |
|
821 | def y_jacobian2(self,x,state): | |
| 822 | y_model=self.y_model2(x,state) |
|
822 | y_model=self.y_model2(x,state) | |
| 823 | s0,w0,a0,p0,s1,w1,a1,p1,n=state |
|
823 | s0,w0,a0,p0,s1,w1,a1,p1,n=state | |
| 824 | e0=((x-s0)/w0)**2; |
|
824 | e0=((x-s0)/w0)**2; | |
| 825 |
|
825 | |||
| 826 | e0u=((x-s0- self.Num_Bin )/w0)**2; |
|
826 | e0u=((x-s0- self.Num_Bin )/w0)**2; | |
| 827 |
|
827 | |||
| 828 | e0d=((x-s0+ self.Num_Bin )/w0)**2 |
|
828 | e0d=((x-s0+ self.Num_Bin )/w0)**2 | |
| 829 | e1=((x-s1)/w1)**2; |
|
829 | e1=((x-s1)/w1)**2; | |
| 830 |
|
830 | |||
| 831 | e1u=((x-s1- self.Num_Bin )/w1)**2; |
|
831 | e1u=((x-s1- self.Num_Bin )/w1)**2; | |
| 832 |
|
832 | |||
| 833 | e1d=((x-s1+ self.Num_Bin )/w1)**2 |
|
833 | e1d=((x-s1+ self.Num_Bin )/w1)**2 | |
| 834 | m0=numpy.exp(-0.5*e0**(p0/2.)); |
|
834 | m0=numpy.exp(-0.5*e0**(p0/2.)); | |
| 835 | m0u=numpy.exp(-0.5*e0u**(p0/2.)); |
|
835 | m0u=numpy.exp(-0.5*e0u**(p0/2.)); | |
| 836 | m0d=numpy.exp(-0.5*e0d**(p0/2.)) |
|
836 | m0d=numpy.exp(-0.5*e0d**(p0/2.)) | |
| 837 | m1=numpy.exp(-0.5*e1**(p1/2.)); |
|
837 | m1=numpy.exp(-0.5*e1**(p1/2.)); | |
| 838 | m1u=numpy.exp(-0.5*e1u**(p1/2.)); |
|
838 | m1u=numpy.exp(-0.5*e1u**(p1/2.)); | |
| 839 | m1d=numpy.exp(-0.5*e1d**(p1/2.)) |
|
839 | m1d=numpy.exp(-0.5*e1d**(p1/2.)) | |
| 840 | JA=m0+m0u+m0d |
|
840 | JA=m0+m0u+m0d | |
| 841 | JA1=m1+m1u+m1d |
|
841 | JA1=m1+m1u+m1d | |
| 842 | JP=(-1/4.)*a0*m0*e0**(p0/2.)*numpy.log(e0)+(-1/4.)*a0*m0u*e0u**(p0/2.)*numpy.log(e0u)+(-1/4.)*a0*m0d*e0d**(p0/2.)*numpy.log(e0d) |
|
842 | JP=(-1/4.)*a0*m0*e0**(p0/2.)*numpy.log(e0)+(-1/4.)*a0*m0u*e0u**(p0/2.)*numpy.log(e0u)+(-1/4.)*a0*m0d*e0d**(p0/2.)*numpy.log(e0d) | |
| 843 | JP1=(-1/4.)*a1*m1*e1**(p1/2.)*numpy.log(e1)+(-1/4.)*a1*m1u*e1u**(p1/2.)*numpy.log(e1u)+(-1/4.)*a1*m1d*e1d**(p1/2.)*numpy.log(e1d) |
|
843 | JP1=(-1/4.)*a1*m1*e1**(p1/2.)*numpy.log(e1)+(-1/4.)*a1*m1u*e1u**(p1/2.)*numpy.log(e1u)+(-1/4.)*a1*m1d*e1d**(p1/2.)*numpy.log(e1d) | |
| 844 |
|
844 | |||
| 845 | JS=(p0/w0/2.)*a0*m0*e0**(p0/2.-1)*((x-s0)/w0)+(p0/w0/2.)*a0*m0u*e0u**(p0/2.-1)*((x-s0- self.Num_Bin )/w0)+(p0/w0/2.)*a0*m0d*e0d**(p0/2.-1)*((x-s0+ self.Num_Bin )/w0) |
|
845 | JS=(p0/w0/2.)*a0*m0*e0**(p0/2.-1)*((x-s0)/w0)+(p0/w0/2.)*a0*m0u*e0u**(p0/2.-1)*((x-s0- self.Num_Bin )/w0)+(p0/w0/2.)*a0*m0d*e0d**(p0/2.-1)*((x-s0+ self.Num_Bin )/w0) | |
| 846 |
|
846 | |||
| 847 | JS1=(p1/w1/2.)*a1*m1*e1**(p1/2.-1)*((x-s1)/w1)+(p1/w1/2.)*a1*m1u*e1u**(p1/2.-1)*((x-s1- self.Num_Bin )/w1)+(p1/w1/2.)*a1*m1d*e1d**(p1/2.-1)*((x-s1+ self.Num_Bin )/w1) |
|
847 | JS1=(p1/w1/2.)*a1*m1*e1**(p1/2.-1)*((x-s1)/w1)+(p1/w1/2.)*a1*m1u*e1u**(p1/2.-1)*((x-s1- self.Num_Bin )/w1)+(p1/w1/2.)*a1*m1d*e1d**(p1/2.-1)*((x-s1+ self.Num_Bin )/w1) | |
| 848 |
|
848 | |||
| 849 | JW=(p0/w0/2.)*a0*m0*e0**(p0/2.-1)*((x-s0)/w0)**2+(p0/w0/2.)*a0*m0u*e0u**(p0/2.-1)*((x-s0- self.Num_Bin )/w0)**2+(p0/w0/2.)*a0*m0d*e0d**(p0/2.-1)*((x-s0+ self.Num_Bin )/w0)**2 |
|
849 | JW=(p0/w0/2.)*a0*m0*e0**(p0/2.-1)*((x-s0)/w0)**2+(p0/w0/2.)*a0*m0u*e0u**(p0/2.-1)*((x-s0- self.Num_Bin )/w0)**2+(p0/w0/2.)*a0*m0d*e0d**(p0/2.-1)*((x-s0+ self.Num_Bin )/w0)**2 | |
| 850 |
|
850 | |||
| 851 | JW1=(p1/w1/2.)*a1*m1*e1**(p1/2.-1)*((x-s1)/w1)**2+(p1/w1/2.)*a1*m1u*e1u**(p1/2.-1)*((x-s1- self.Num_Bin )/w1)**2+(p1/w1/2.)*a1*m1d*e1d**(p1/2.-1)*((x-s1+ self.Num_Bin )/w1)**2 |
|
851 | JW1=(p1/w1/2.)*a1*m1*e1**(p1/2.-1)*((x-s1)/w1)**2+(p1/w1/2.)*a1*m1u*e1u**(p1/2.-1)*((x-s1- self.Num_Bin )/w1)**2+(p1/w1/2.)*a1*m1d*e1d**(p1/2.-1)*((x-s1+ self.Num_Bin )/w1)**2 | |
| 852 | jack2=numpy.sqrt(7)*numpy.array([JS/y_model,JW/y_model,JA/y_model,JP/y_model,JS1/y_model,JW1/y_model,JA1/y_model,JP1/y_model,1./y_model]) |
|
852 | jack2=numpy.sqrt(7)*numpy.array([JS/y_model,JW/y_model,JA/y_model,JP/y_model,JS1/y_model,JW1/y_model,JA1/y_model,JP1/y_model,1./y_model]) | |
| 853 | return jack2.T |
|
853 | return jack2.T | |
| 854 |
|
854 | |||
| 855 | def y_model1(self,x,state): |
|
855 | def y_model1(self,x,state): | |
| 856 | shift0,width0,amplitude0,power0,noise=state |
|
856 | shift0,width0,amplitude0,power0,noise=state | |
| 857 | model0=amplitude0*numpy.exp(-0.5*abs((x-shift0)/width0)**power0) |
|
857 | model0=amplitude0*numpy.exp(-0.5*abs((x-shift0)/width0)**power0) | |
| 858 |
|
858 | |||
| 859 | model0u=amplitude0*numpy.exp(-0.5*abs((x-shift0- self.Num_Bin )/width0)**power0) |
|
859 | model0u=amplitude0*numpy.exp(-0.5*abs((x-shift0- self.Num_Bin )/width0)**power0) | |
| 860 |
|
860 | |||
| 861 | model0d=amplitude0*numpy.exp(-0.5*abs((x-shift0+ self.Num_Bin )/width0)**power0) |
|
861 | model0d=amplitude0*numpy.exp(-0.5*abs((x-shift0+ self.Num_Bin )/width0)**power0) | |
| 862 | return model0+model0u+model0d+noise |
|
862 | return model0+model0u+model0d+noise | |
| 863 |
|
863 | |||
| 864 | def y_model2(self,x,state): #Equation for two generalized Gaussians with Nyquist |
|
864 | def y_model2(self,x,state): #Equation for two generalized Gaussians with Nyquist | |
| 865 | shift0,width0,amplitude0,power0,shift1,width1,amplitude1,power1,noise=state |
|
865 | shift0,width0,amplitude0,power0,shift1,width1,amplitude1,power1,noise=state | |
| 866 | model0=amplitude0*numpy.exp(-0.5*abs((x-shift0)/width0)**power0) |
|
866 | model0=amplitude0*numpy.exp(-0.5*abs((x-shift0)/width0)**power0) | |
| 867 |
|
867 | |||
| 868 | model0u=amplitude0*numpy.exp(-0.5*abs((x-shift0- self.Num_Bin )/width0)**power0) |
|
868 | model0u=amplitude0*numpy.exp(-0.5*abs((x-shift0- self.Num_Bin )/width0)**power0) | |
| 869 |
|
869 | |||
| 870 | model0d=amplitude0*numpy.exp(-0.5*abs((x-shift0+ self.Num_Bin )/width0)**power0) |
|
870 | model0d=amplitude0*numpy.exp(-0.5*abs((x-shift0+ self.Num_Bin )/width0)**power0) | |
| 871 | model1=amplitude1*numpy.exp(-0.5*abs((x-shift1)/width1)**power1) |
|
871 | model1=amplitude1*numpy.exp(-0.5*abs((x-shift1)/width1)**power1) | |
| 872 |
|
872 | |||
| 873 | model1u=amplitude1*numpy.exp(-0.5*abs((x-shift1- self.Num_Bin )/width1)**power1) |
|
873 | model1u=amplitude1*numpy.exp(-0.5*abs((x-shift1- self.Num_Bin )/width1)**power1) | |
| 874 |
|
874 | |||
| 875 | model1d=amplitude1*numpy.exp(-0.5*abs((x-shift1+ self.Num_Bin )/width1)**power1) |
|
875 | model1d=amplitude1*numpy.exp(-0.5*abs((x-shift1+ self.Num_Bin )/width1)**power1) | |
| 876 | return model0+model0u+model0d+model1+model1u+model1d+noise |
|
876 | return model0+model0u+model0d+model1+model1u+model1d+noise | |
| 877 |
|
877 | |||
| 878 | def misfit1(self,state,y_data,x,num_intg): # This function compares how close real data is with the model data, the close it is, the better it is. |
|
878 | def misfit1(self,state,y_data,x,num_intg): # This function compares how close real data is with the model data, the close it is, the better it is. | |
| 879 |
|
879 | |||
| 880 | return num_intg*sum((numpy.log(y_data)-numpy.log(self.y_model1(x,state)))**2)#/(64-5.) # /(64-5.) can be commented |
|
880 | return num_intg*sum((numpy.log(y_data)-numpy.log(self.y_model1(x,state)))**2)#/(64-5.) # /(64-5.) can be commented | |
| 881 |
|
881 | |||
| 882 | def misfit2(self,state,y_data,x,num_intg): |
|
882 | def misfit2(self,state,y_data,x,num_intg): | |
| 883 | return num_intg*sum((numpy.log(y_data)-numpy.log(self.y_model2(x,state)))**2)#/(64-9.) |
|
883 | return num_intg*sum((numpy.log(y_data)-numpy.log(self.y_model2(x,state)))**2)#/(64-9.) | |
| 884 |
|
884 | |||
| 885 |
|
885 | |||
| 886 | class PrecipitationProc(Operation): |
|
886 | class PrecipitationProc(Operation): | |
| 887 |
|
887 | |||
| 888 | ''' |
|
888 | ''' | |
| 889 | Operator that estimates Reflectivity factor (Z), and estimates rainfall Rate (R) |
|
889 | Operator that estimates Reflectivity factor (Z), and estimates rainfall Rate (R) | |
| 890 |
|
890 | |||
| 891 | Input: |
|
891 | Input: | |
| 892 | self.dataOut.data_pre : SelfSpectra |
|
892 | self.dataOut.data_pre : SelfSpectra | |
| 893 |
|
893 | |||
| 894 | Output: |
|
894 | Output: | |
| 895 |
|
895 | |||
| 896 | self.dataOut.data_output : Reflectivity factor, rainfall Rate |
|
896 | self.dataOut.data_output : Reflectivity factor, rainfall Rate | |
| 897 |
|
897 | |||
| 898 |
|
898 | |||
| 899 | Parameters affected: |
|
899 | Parameters affected: | |
| 900 | ''' |
|
900 | ''' | |
| 901 |
|
901 | |||
| 902 |
|
902 | |||
| 903 | def run(self, dataOut, radar=None, Pt=None, Gt=None, Gr=None, Lambda=None, aL=None, |
|
903 | def run(self, dataOut, radar=None, Pt=None, Gt=None, Gr=None, Lambda=None, aL=None, | |
| 904 | tauW=None, ThetaT=None, ThetaR=None, Km = 0.93, Altitude=None): |
|
904 | tauW=None, ThetaT=None, ThetaR=None, Km = 0.93, Altitude=None): | |
| 905 |
|
905 | |||
| 906 | self.spc = dataOut.data_pre[0].copy() |
|
906 | self.spc = dataOut.data_pre[0].copy() | |
| 907 | self.Num_Hei = self.spc.shape[2] |
|
907 | self.Num_Hei = self.spc.shape[2] | |
| 908 | self.Num_Bin = self.spc.shape[1] |
|
908 | self.Num_Bin = self.spc.shape[1] | |
| 909 | self.Num_Chn = self.spc.shape[0] |
|
909 | self.Num_Chn = self.spc.shape[0] | |
| 910 |
|
910 | |||
| 911 | Velrange = dataOut.abscissaList |
|
911 | Velrange = dataOut.abscissaList | |
| 912 |
|
912 | |||
| 913 | if radar == "MIRA35C" : |
|
913 | if radar == "MIRA35C" : | |
| 914 |
|
914 | |||
| 915 | Ze = self.dBZeMODE2(dataOut) |
|
915 | Ze = self.dBZeMODE2(dataOut) | |
| 916 |
|
916 | |||
| 917 | else: |
|
917 | else: | |
| 918 |
|
918 | |||
| 919 | self.Pt = Pt |
|
919 | self.Pt = Pt | |
| 920 | self.Gt = Gt |
|
920 | self.Gt = Gt | |
| 921 | self.Gr = Gr |
|
921 | self.Gr = Gr | |
| 922 | self.Lambda = Lambda |
|
922 | self.Lambda = Lambda | |
| 923 | self.aL = aL |
|
923 | self.aL = aL | |
| 924 | self.tauW = tauW |
|
924 | self.tauW = tauW | |
| 925 | self.ThetaT = ThetaT |
|
925 | self.ThetaT = ThetaT | |
| 926 | self.ThetaR = ThetaR |
|
926 | self.ThetaR = ThetaR | |
| 927 |
|
927 | |||
| 928 | RadarConstant = GetRadarConstant() |
|
928 | RadarConstant = GetRadarConstant() | |
| 929 | SPCmean = numpy.mean(self.spc,0) |
|
929 | SPCmean = numpy.mean(self.spc,0) | |
| 930 | ETA = numpy.zeros(self.Num_Hei) |
|
930 | ETA = numpy.zeros(self.Num_Hei) | |
| 931 | Pr = numpy.sum(SPCmean,0) |
|
931 | Pr = numpy.sum(SPCmean,0) | |
| 932 |
|
932 | |||
| 933 | #for R in range(self.Num_Hei): |
|
933 | #for R in range(self.Num_Hei): | |
| 934 | # ETA[R] = RadarConstant * Pr[R] * R**2 #Reflectivity (ETA) |
|
934 | # ETA[R] = RadarConstant * Pr[R] * R**2 #Reflectivity (ETA) | |
| 935 |
|
935 | |||
| 936 | D_range = numpy.zeros(self.Num_Hei) |
|
936 | D_range = numpy.zeros(self.Num_Hei) | |
| 937 | EqSec = numpy.zeros(self.Num_Hei) |
|
937 | EqSec = numpy.zeros(self.Num_Hei) | |
| 938 | del_V = numpy.zeros(self.Num_Hei) |
|
938 | del_V = numpy.zeros(self.Num_Hei) | |
| 939 |
|
939 | |||
| 940 | for R in range(self.Num_Hei): |
|
940 | for R in range(self.Num_Hei): | |
| 941 | ETA[R] = RadarConstant * Pr[R] * R**2 #Reflectivity (ETA) |
|
941 | ETA[R] = RadarConstant * Pr[R] * R**2 #Reflectivity (ETA) | |
| 942 |
|
942 | |||
| 943 | h = R + Altitude #Range from ground to radar pulse altitude |
|
943 | h = R + Altitude #Range from ground to radar pulse altitude | |
| 944 | del_V[R] = 1 + 3.68 * 10**-5 * h + 1.71 * 10**-9 * h**2 #Density change correction for velocity |
|
944 | del_V[R] = 1 + 3.68 * 10**-5 * h + 1.71 * 10**-9 * h**2 #Density change correction for velocity | |
| 945 |
|
945 | |||
| 946 | D_range[R] = numpy.log( (9.65 - (Velrange[R]/del_V[R])) / 10.3 ) / -0.6 #Range of Diameter of drops related to velocity |
|
946 | D_range[R] = numpy.log( (9.65 - (Velrange[R]/del_V[R])) / 10.3 ) / -0.6 #Range of Diameter of drops related to velocity | |
| 947 | SIGMA[R] = numpy.pi**5 / Lambda**4 * Km * D_range[R]**6 #Equivalent Section of drops (sigma) |
|
947 | SIGMA[R] = numpy.pi**5 / Lambda**4 * Km * D_range[R]**6 #Equivalent Section of drops (sigma) | |
| 948 |
|
948 | |||
| 949 | N_dist[R] = ETA[R] / SIGMA[R] |
|
949 | N_dist[R] = ETA[R] / SIGMA[R] | |
| 950 |
|
950 | |||
| 951 | Ze = (ETA * Lambda**4) / (numpy.pi * Km) |
|
951 | Ze = (ETA * Lambda**4) / (numpy.pi * Km) | |
| 952 | Z = numpy.sum( N_dist * D_range**6 ) |
|
952 | Z = numpy.sum( N_dist * D_range**6 ) | |
| 953 | RR = 6*10**-4*numpy.pi * numpy.sum( D_range**3 * N_dist * Velrange ) #Rainfall rate |
|
953 | RR = 6*10**-4*numpy.pi * numpy.sum( D_range**3 * N_dist * Velrange ) #Rainfall rate | |
| 954 |
|
954 | |||
| 955 |
|
955 | |||
| 956 | RR = (Ze/200)**(1/1.6) |
|
956 | RR = (Ze/200)**(1/1.6) | |
| 957 | dBRR = 10*numpy.log10(RR) |
|
957 | dBRR = 10*numpy.log10(RR) | |
| 958 |
|
958 | |||
| 959 | dBZe = 10*numpy.log10(Ze) |
|
959 | dBZe = 10*numpy.log10(Ze) | |
| 960 | dataOut.data_output = Ze |
|
960 | dataOut.data_output = Ze | |
| 961 | dataOut.data_param = numpy.ones([2,self.Num_Hei]) |
|
961 | dataOut.data_param = numpy.ones([2,self.Num_Hei]) | |
| 962 | dataOut.channelList = [0,1] |
|
962 | dataOut.channelList = [0,1] | |
| 963 | print 'channelList', dataOut.channelList |
|
963 | print 'channelList', dataOut.channelList | |
| 964 | dataOut.data_param[0]=dBZe |
|
964 | dataOut.data_param[0]=dBZe | |
| 965 | dataOut.data_param[1]=dBRR |
|
965 | dataOut.data_param[1]=dBRR | |
| 966 | print 'RR SHAPE', dBRR.shape |
|
966 | print 'RR SHAPE', dBRR.shape | |
| 967 | print 'Ze SHAPE', dBZe.shape |
|
967 | print 'Ze SHAPE', dBZe.shape | |
| 968 | print 'dataOut.data_param SHAPE', dataOut.data_param.shape |
|
968 | print 'dataOut.data_param SHAPE', dataOut.data_param.shape | |
| 969 |
|
969 | |||
| 970 |
|
970 | |||
| 971 | def dBZeMODE2(self, dataOut): # Processing for MIRA35C |
|
971 | def dBZeMODE2(self, dataOut): # Processing for MIRA35C | |
| 972 |
|
972 | |||
| 973 | NPW = dataOut.NPW |
|
973 | NPW = dataOut.NPW | |
| 974 | COFA = dataOut.COFA |
|
974 | COFA = dataOut.COFA | |
| 975 |
|
975 | |||
| 976 | SNR = numpy.array([self.spc[0,:,:] / NPW[0]]) #, self.spc[1,:,:] / NPW[1]]) |
|
976 | SNR = numpy.array([self.spc[0,:,:] / NPW[0]]) #, self.spc[1,:,:] / NPW[1]]) | |
| 977 | RadarConst = dataOut.RadarConst |
|
977 | RadarConst = dataOut.RadarConst | |
| 978 | #frequency = 34.85*10**9 |
|
978 | #frequency = 34.85*10**9 | |
| 979 |
|
979 | |||
| 980 | ETA = numpy.zeros(([self.Num_Chn ,self.Num_Hei])) |
|
980 | ETA = numpy.zeros(([self.Num_Chn ,self.Num_Hei])) | |
| 981 | data_output = numpy.ones([self.Num_Chn , self.Num_Hei])*numpy.NaN |
|
981 | data_output = numpy.ones([self.Num_Chn , self.Num_Hei])*numpy.NaN | |
| 982 |
|
982 | |||
| 983 | ETA = numpy.sum(SNR,1) |
|
983 | ETA = numpy.sum(SNR,1) | |
| 984 | print 'ETA' , ETA |
|
984 | print 'ETA' , ETA | |
| 985 | ETA = numpy.where(ETA is not 0. , ETA, numpy.NaN) |
|
985 | ETA = numpy.where(ETA is not 0. , ETA, numpy.NaN) | |
| 986 |
|
986 | |||
| 987 | Ze = numpy.ones([self.Num_Chn, self.Num_Hei] ) |
|
987 | Ze = numpy.ones([self.Num_Chn, self.Num_Hei] ) | |
| 988 |
|
988 | |||
| 989 | for r in range(self.Num_Hei): |
|
989 | for r in range(self.Num_Hei): | |
| 990 |
|
990 | |||
| 991 | Ze[0,r] = ( ETA[0,r] ) * COFA[0,r][0] * RadarConst * ((r/5000.)**2) |
|
991 | Ze[0,r] = ( ETA[0,r] ) * COFA[0,r][0] * RadarConst * ((r/5000.)**2) | |
| 992 | #Ze[1,r] = ( ETA[1,r] ) * COFA[1,r][0] * RadarConst * ((r/5000.)**2) |
|
992 | #Ze[1,r] = ( ETA[1,r] ) * COFA[1,r][0] * RadarConst * ((r/5000.)**2) | |
| 993 |
|
993 | |||
| 994 | return Ze |
|
994 | return Ze | |
| 995 |
|
995 | |||
| 996 | def GetRadarConstant(self): |
|
996 | def GetRadarConstant(self): | |
| 997 |
|
997 | |||
| 998 | """ |
|
998 | """ | |
| 999 | Constants: |
|
999 | Constants: | |
| 1000 |
|
1000 | |||
| 1001 | Pt: Transmission Power dB |
|
1001 | Pt: Transmission Power dB | |
| 1002 | Gt: Transmission Gain dB |
|
1002 | Gt: Transmission Gain dB | |
| 1003 | Gr: Reception Gain dB |
|
1003 | Gr: Reception Gain dB | |
| 1004 | Lambda: Wavelenght m |
|
1004 | Lambda: Wavelenght m | |
| 1005 | aL: Attenuation loses dB |
|
1005 | aL: Attenuation loses dB | |
| 1006 | tauW: Width of transmission pulse s |
|
1006 | tauW: Width of transmission pulse s | |
| 1007 | ThetaT: Transmission antenna bean angle rad |
|
1007 | ThetaT: Transmission antenna bean angle rad | |
| 1008 | ThetaR: Reception antenna beam angle rad |
|
1008 | ThetaR: Reception antenna beam angle rad | |
| 1009 |
|
1009 | |||
| 1010 | """ |
|
1010 | """ | |
| 1011 | Numerator = ( (4*numpy.pi)**3 * aL**2 * 16 * numpy.log(2) ) |
|
1011 | Numerator = ( (4*numpy.pi)**3 * aL**2 * 16 * numpy.log(2) ) | |
| 1012 | Denominator = ( Pt * Gt * Gr * Lambda**2 * SPEED_OF_LIGHT * TauW * numpy.pi * ThetaT * TheraR) |
|
1012 | Denominator = ( Pt * Gt * Gr * Lambda**2 * SPEED_OF_LIGHT * TauW * numpy.pi * ThetaT * TheraR) | |
| 1013 | RadarConstant = Numerator / Denominator |
|
1013 | RadarConstant = Numerator / Denominator | |
| 1014 |
|
1014 | |||
| 1015 | return RadarConstant |
|
1015 | return RadarConstant | |
| 1016 |
|
1016 | |||
| 1017 |
|
1017 | |||
| 1018 |
|
1018 | |||
| 1019 | class FullSpectralAnalysis(Operation): |
|
1019 | class FullSpectralAnalysis(Operation): | |
| 1020 |
|
1020 | |||
| 1021 | """ |
|
1021 | """ | |
| 1022 | Function that implements Full Spectral Analisys technique. |
|
1022 | Function that implements Full Spectral Analisys technique. | |
| 1023 |
|
1023 | |||
| 1024 | Input: |
|
1024 | Input: | |
| 1025 | self.dataOut.data_pre : SelfSpectra and CrossSPectra data |
|
1025 | self.dataOut.data_pre : SelfSpectra and CrossSPectra data | |
| 1026 | self.dataOut.groupList : Pairlist of channels |
|
1026 | self.dataOut.groupList : Pairlist of channels | |
| 1027 | self.dataOut.ChanDist : Physical distance between receivers |
|
1027 | self.dataOut.ChanDist : Physical distance between receivers | |
| 1028 |
|
1028 | |||
| 1029 |
|
1029 | |||
| 1030 | Output: |
|
1030 | Output: | |
| 1031 |
|
1031 | |||
| 1032 | self.dataOut.data_output : Zonal wind, Meridional wind and Vertical wind |
|
1032 | self.dataOut.data_output : Zonal wind, Meridional wind and Vertical wind | |
| 1033 |
|
1033 | |||
| 1034 |
|
1034 | |||
| 1035 | Parameters affected: Winds, height range, SNR |
|
1035 | Parameters affected: Winds, height range, SNR | |
| 1036 |
|
1036 | |||
| 1037 | """ |
|
1037 | """ | |
| 1038 | def run(self, dataOut, E01=None, E02=None, E12=None, N01=None, N02=None, N12=None, SNRlimit=7): |
|
1038 | def run(self, dataOut, E01=None, E02=None, E12=None, N01=None, N02=None, N12=None, SNRlimit=7): | |
| 1039 |
|
1039 | |||
| 1040 | spc = dataOut.data_pre[0].copy() |
|
1040 | spc = dataOut.data_pre[0].copy() | |
| 1041 | cspc = dataOut.data_pre[1].copy() |
|
1041 | cspc = dataOut.data_pre[1].copy() | |
| 1042 |
|
1042 | |||
| 1043 | nChannel = spc.shape[0] |
|
1043 | nChannel = spc.shape[0] | |
| 1044 | nProfiles = spc.shape[1] |
|
1044 | nProfiles = spc.shape[1] | |
| 1045 | nHeights = spc.shape[2] |
|
1045 | nHeights = spc.shape[2] | |
| 1046 |
|
1046 | |||
| 1047 | pairsList = dataOut.groupList |
|
1047 | pairsList = dataOut.groupList | |
| 1048 | if dataOut.ChanDist is not None : |
|
1048 | if dataOut.ChanDist is not None : | |
| 1049 | ChanDist = dataOut.ChanDist |
|
1049 | ChanDist = dataOut.ChanDist | |
| 1050 | else: |
|
1050 | else: | |
| 1051 | ChanDist = numpy.array([[E01, N01],[E02,N02],[E12,N12]]) |
|
1051 | ChanDist = numpy.array([[E01, N01],[E02,N02],[E12,N12]]) | |
| 1052 |
|
1052 | |||
| 1053 | #print 'ChanDist', ChanDist |
|
1053 | #print 'ChanDist', ChanDist | |
| 1054 |
|
1054 | |||
| 1055 | if dataOut.VelRange is not None: |
|
1055 | if dataOut.VelRange is not None: | |
| 1056 | VelRange= dataOut.VelRange |
|
1056 | VelRange= dataOut.VelRange | |
| 1057 | else: |
|
1057 | else: | |
| 1058 | VelRange= dataOut.abscissaList |
|
1058 | VelRange= dataOut.abscissaList | |
| 1059 |
|
1059 | |||
| 1060 | ySamples=numpy.ones([nChannel,nProfiles]) |
|
1060 | ySamples=numpy.ones([nChannel,nProfiles]) | |
| 1061 | phase=numpy.ones([nChannel,nProfiles]) |
|
1061 | phase=numpy.ones([nChannel,nProfiles]) | |
| 1062 | CSPCSamples=numpy.ones([nChannel,nProfiles],dtype=numpy.complex_) |
|
1062 | CSPCSamples=numpy.ones([nChannel,nProfiles],dtype=numpy.complex_) | |
| 1063 | coherence=numpy.ones([nChannel,nProfiles]) |
|
1063 | coherence=numpy.ones([nChannel,nProfiles]) | |
| 1064 | PhaseSlope=numpy.ones(nChannel) |
|
1064 | PhaseSlope=numpy.ones(nChannel) | |
| 1065 | PhaseInter=numpy.ones(nChannel) |
|
1065 | PhaseInter=numpy.ones(nChannel) | |
| 1066 | dataSNR = dataOut.data_SNR |
|
1066 | dataSNR = dataOut.data_SNR | |
| 1067 |
|
1067 | |||
| 1068 |
|
1068 | |||
| 1069 |
|
1069 | |||
| 1070 | data = dataOut.data_pre |
|
1070 | data = dataOut.data_pre | |
| 1071 | noise = dataOut.noise |
|
1071 | noise = dataOut.noise | |
| 1072 | print 'noise',noise |
|
1072 | print 'noise',noise | |
| 1073 | #SNRdB = 10*numpy.log10(dataOut.data_SNR) |
|
1073 | #SNRdB = 10*numpy.log10(dataOut.data_SNR) | |
| 1074 |
|
1074 | |||
| 1075 | FirstMoment = numpy.average(dataOut.data_param[:,1,:],0) |
|
1075 | FirstMoment = numpy.average(dataOut.data_param[:,1,:],0) | |
| 1076 | #SNRdBMean = [] |
|
1076 | #SNRdBMean = [] | |
| 1077 |
|
1077 | |||
| 1078 |
|
1078 | |||
| 1079 | #for j in range(nHeights): |
|
1079 | #for j in range(nHeights): | |
| 1080 | # FirstMoment = numpy.append(FirstMoment,numpy.mean([dataOut.data_param[0,1,j],dataOut.data_param[1,1,j],dataOut.data_param[2,1,j]])) |
|
1080 | # FirstMoment = numpy.append(FirstMoment,numpy.mean([dataOut.data_param[0,1,j],dataOut.data_param[1,1,j],dataOut.data_param[2,1,j]])) | |
| 1081 | # SNRdBMean = numpy.append(SNRdBMean,numpy.mean([SNRdB[0,j],SNRdB[1,j],SNRdB[2,j]])) |
|
1081 | # SNRdBMean = numpy.append(SNRdBMean,numpy.mean([SNRdB[0,j],SNRdB[1,j],SNRdB[2,j]])) | |
| 1082 |
|
1082 | |||
| 1083 | data_output=numpy.ones([3,spc.shape[2]])*numpy.NaN |
|
1083 | data_output=numpy.ones([3,spc.shape[2]])*numpy.NaN | |
| 1084 |
|
1084 | |||
| 1085 | velocityX=[] |
|
1085 | velocityX=[] | |
| 1086 | velocityY=[] |
|
1086 | velocityY=[] | |
| 1087 | velocityV=[] |
|
1087 | velocityV=[] | |
| 1088 |
|
1088 | |||
| 1089 | dbSNR = 10*numpy.log10(dataSNR) |
|
1089 | dbSNR = 10*numpy.log10(dataSNR) | |
| 1090 | dbSNR = numpy.average(dbSNR,0) |
|
1090 | dbSNR = numpy.average(dbSNR,0) | |
| 1091 | for Height in range(nHeights): |
|
1091 | for Height in range(nHeights): | |
| 1092 |
|
1092 | |||
| 1093 | [Vzon,Vmer,Vver, GaussCenter]= self.WindEstimation(spc, cspc, pairsList, ChanDist, Height, noise, VelRange, dbSNR[Height], SNRlimit) |
|
1093 | [Vzon,Vmer,Vver, GaussCenter]= self.WindEstimation(spc, cspc, pairsList, ChanDist, Height, noise, VelRange, dbSNR[Height], SNRlimit) | |
| 1094 |
|
1094 | |||
| 1095 | if abs(Vzon)<100. and abs(Vzon)> 0.: |
|
1095 | if abs(Vzon)<100. and abs(Vzon)> 0.: | |
| 1096 | velocityX=numpy.append(velocityX, Vzon)#Vmag |
|
1096 | velocityX=numpy.append(velocityX, Vzon)#Vmag | |
| 1097 |
|
1097 | |||
| 1098 | else: |
|
1098 | else: | |
| 1099 | print 'Vzon',Vzon |
|
1099 | print 'Vzon',Vzon | |
| 1100 | velocityX=numpy.append(velocityX, numpy.NaN) |
|
1100 | velocityX=numpy.append(velocityX, numpy.NaN) | |
| 1101 |
|
1101 | |||
| 1102 | if abs(Vmer)<100. and abs(Vmer) > 0.: |
|
1102 | if abs(Vmer)<100. and abs(Vmer) > 0.: | |
| 1103 | velocityY=numpy.append(velocityY, Vmer)#Vang |
|
1103 | velocityY=numpy.append(velocityY, Vmer)#Vang | |
| 1104 |
|
1104 | |||
| 1105 | else: |
|
1105 | else: | |
| 1106 | print 'Vmer',Vmer |
|
1106 | print 'Vmer',Vmer | |
| 1107 | velocityY=numpy.append(velocityY, numpy.NaN) |
|
1107 | velocityY=numpy.append(velocityY, numpy.NaN) | |
| 1108 |
|
1108 | |||
| 1109 | if dbSNR[Height] > SNRlimit: |
|
1109 | if dbSNR[Height] > SNRlimit: | |
| 1110 | velocityV=numpy.append(velocityV, FirstMoment[Height]) |
|
1110 | velocityV=numpy.append(velocityV, FirstMoment[Height]) | |
| 1111 | else: |
|
1111 | else: | |
| 1112 | velocityV=numpy.append(velocityV, numpy.NaN) |
|
1112 | velocityV=numpy.append(velocityV, numpy.NaN) | |
| 1113 | #FirstMoment[Height]= numpy.NaN |
|
1113 | #FirstMoment[Height]= numpy.NaN | |
| 1114 | # if SNRdBMean[Height] <12: |
|
1114 | # if SNRdBMean[Height] <12: | |
| 1115 | # FirstMoment[Height] = numpy.NaN |
|
1115 | # FirstMoment[Height] = numpy.NaN | |
| 1116 | # velocityX[Height] = numpy.NaN |
|
1116 | # velocityX[Height] = numpy.NaN | |
| 1117 | # velocityY[Height] = numpy.NaN |
|
1117 | # velocityY[Height] = numpy.NaN | |
| 1118 |
|
1118 | |||
| 1119 |
|
1119 | |||
| 1120 | data_output[0]=numpy.array(velocityX) |
|
1120 | data_output[0]=numpy.array(velocityX) | |
| 1121 | data_output[1]=numpy.array(velocityY) |
|
1121 | data_output[1]=numpy.array(velocityY) | |
| 1122 | data_output[2]=-velocityV#FirstMoment |
|
1122 | data_output[2]=-velocityV#FirstMoment | |
| 1123 |
|
1123 | |||
| 1124 | print ' ' |
|
1124 | print ' ' | |
| 1125 | #print 'FirstMoment' |
|
1125 | #print 'FirstMoment' | |
| 1126 | #print FirstMoment |
|
1126 | #print FirstMoment | |
| 1127 | print 'velocityX',data_output[0] |
|
1127 | print 'velocityX',data_output[0] | |
| 1128 | print ' ' |
|
1128 | print ' ' | |
| 1129 | print 'velocityY',data_output[1] |
|
1129 | print 'velocityY',data_output[1] | |
| 1130 | #print numpy.array(velocityY) |
|
1130 | #print numpy.array(velocityY) | |
| 1131 | print ' ' |
|
1131 | print ' ' | |
| 1132 | #print 'SNR' |
|
1132 | #print 'SNR' | |
| 1133 | #print 10*numpy.log10(dataOut.data_SNR) |
|
1133 | #print 10*numpy.log10(dataOut.data_SNR) | |
| 1134 | #print numpy.shape(10*numpy.log10(dataOut.data_SNR)) |
|
1134 | #print numpy.shape(10*numpy.log10(dataOut.data_SNR)) | |
| 1135 | print ' ' |
|
1135 | print ' ' | |
| 1136 |
|
1136 | |||
| 1137 |
|
1137 | |||
| 1138 | dataOut.data_output=data_output |
|
1138 | dataOut.data_output=data_output | |
| 1139 | return |
|
1139 | return | |
| 1140 |
|
1140 | |||
| 1141 |
|
1141 | |||
| 1142 | def moving_average(self,x, N=2): |
|
1142 | def moving_average(self,x, N=2): | |
| 1143 | return numpy.convolve(x, numpy.ones((N,))/N)[(N-1):] |
|
1143 | return numpy.convolve(x, numpy.ones((N,))/N)[(N-1):] | |
| 1144 |
|
1144 | |||
| 1145 | def gaus(self,xSamples,a,x0,sigma): |
|
1145 | def gaus(self,xSamples,a,x0,sigma): | |
| 1146 | return a*numpy.exp(-(xSamples-x0)**2/(2*sigma**2)) |
|
1146 | return a*numpy.exp(-(xSamples-x0)**2/(2*sigma**2)) | |
| 1147 |
|
1147 | |||
| 1148 | def Find(self,x,value): |
|
1148 | def Find(self,x,value): | |
| 1149 | for index in range(len(x)): |
|
1149 | for index in range(len(x)): | |
| 1150 | if x[index]==value: |
|
1150 | if x[index]==value: | |
| 1151 | return index |
|
1151 | return index | |
| 1152 |
|
1152 | |||
| 1153 | def WindEstimation(self, spc, cspc, pairsList, ChanDist, Height, noise, VelRange, dbSNR, SNRlimit): |
|
1153 | def WindEstimation(self, spc, cspc, pairsList, ChanDist, Height, noise, VelRange, dbSNR, SNRlimit): | |
| 1154 |
|
1154 | |||
| 1155 | ySamples=numpy.ones([spc.shape[0],spc.shape[1]]) |
|
1155 | ySamples=numpy.ones([spc.shape[0],spc.shape[1]]) | |
| 1156 | phase=numpy.ones([spc.shape[0],spc.shape[1]]) |
|
1156 | phase=numpy.ones([spc.shape[0],spc.shape[1]]) | |
| 1157 | CSPCSamples=numpy.ones([spc.shape[0],spc.shape[1]],dtype=numpy.complex_) |
|
1157 | CSPCSamples=numpy.ones([spc.shape[0],spc.shape[1]],dtype=numpy.complex_) | |
| 1158 | coherence=numpy.ones([spc.shape[0],spc.shape[1]]) |
|
1158 | coherence=numpy.ones([spc.shape[0],spc.shape[1]]) | |
| 1159 | PhaseSlope=numpy.ones(spc.shape[0]) |
|
1159 | PhaseSlope=numpy.ones(spc.shape[0]) | |
| 1160 | PhaseInter=numpy.ones(spc.shape[0]) |
|
1160 | PhaseInter=numpy.ones(spc.shape[0]) | |
| 1161 | xFrec=VelRange |
|
1161 | xFrec=VelRange | |
| 1162 |
|
1162 | |||
| 1163 | '''Getting Eij and Nij''' |
|
1163 | '''Getting Eij and Nij''' | |
| 1164 |
|
1164 | |||
| 1165 | E01=ChanDist[0][0] |
|
1165 | E01=ChanDist[0][0] | |
| 1166 | N01=ChanDist[0][1] |
|
1166 | N01=ChanDist[0][1] | |
| 1167 |
|
1167 | |||
| 1168 | E02=ChanDist[1][0] |
|
1168 | E02=ChanDist[1][0] | |
| 1169 | N02=ChanDist[1][1] |
|
1169 | N02=ChanDist[1][1] | |
| 1170 |
|
1170 | |||
| 1171 | E12=ChanDist[2][0] |
|
1171 | E12=ChanDist[2][0] | |
| 1172 | N12=ChanDist[2][1] |
|
1172 | N12=ChanDist[2][1] | |
| 1173 |
|
1173 | |||
| 1174 | z = spc.copy() |
|
1174 | z = spc.copy() | |
| 1175 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
1175 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 1176 |
|
1176 | |||
| 1177 | for i in range(spc.shape[0]): |
|
1177 | for i in range(spc.shape[0]): | |
| 1178 |
|
1178 | |||
| 1179 | '''****** Line of Data SPC ******''' |
|
1179 | '''****** Line of Data SPC ******''' | |
| 1180 | zline=z[i,:,Height] |
|
1180 | zline=z[i,:,Height] | |
| 1181 |
|
1181 | |||
| 1182 | '''****** SPC is normalized ******''' |
|
1182 | '''****** SPC is normalized ******''' | |
| 1183 | FactNorm= (zline.copy()-noise[i]) / numpy.sum(zline.copy()) |
|
1183 | FactNorm= (zline.copy()-noise[i]) / numpy.sum(zline.copy()) | |
| 1184 | FactNorm= FactNorm/numpy.sum(FactNorm) |
|
1184 | FactNorm= FactNorm/numpy.sum(FactNorm) | |
| 1185 |
|
1185 | |||
| 1186 | SmoothSPC=self.moving_average(FactNorm,N=3) |
|
1186 | SmoothSPC=self.moving_average(FactNorm,N=3) | |
| 1187 |
|
1187 | |||
| 1188 | xSamples = ar(range(len(SmoothSPC))) |
|
1188 | xSamples = ar(range(len(SmoothSPC))) | |
| 1189 | ySamples[i] = SmoothSPC |
|
1189 | ySamples[i] = SmoothSPC | |
| 1190 |
|
1190 | |||
| 1191 | #dbSNR=10*numpy.log10(dataSNR) |
|
1191 | #dbSNR=10*numpy.log10(dataSNR) | |
| 1192 | print ' ' |
|
1192 | print ' ' | |
| 1193 | print ' ' |
|
1193 | print ' ' | |
| 1194 | print ' ' |
|
1194 | print ' ' | |
| 1195 |
|
1195 | |||
| 1196 | #print 'dataSNR', dbSNR.shape, dbSNR[0,40:120] |
|
1196 | #print 'dataSNR', dbSNR.shape, dbSNR[0,40:120] | |
| 1197 | print 'SmoothSPC', SmoothSPC.shape, SmoothSPC[0:20] |
|
1197 | print 'SmoothSPC', SmoothSPC.shape, SmoothSPC[0:20] | |
| 1198 | print 'noise',noise |
|
1198 | print 'noise',noise | |
| 1199 | print 'zline',zline.shape, zline[0:20] |
|
1199 | print 'zline',zline.shape, zline[0:20] | |
| 1200 | print 'FactNorm',FactNorm.shape, FactNorm[0:20] |
|
1200 | print 'FactNorm',FactNorm.shape, FactNorm[0:20] | |
| 1201 | print 'FactNorm suma', numpy.sum(FactNorm) |
|
1201 | print 'FactNorm suma', numpy.sum(FactNorm) | |
| 1202 |
|
1202 | |||
| 1203 | for i in range(spc.shape[0]): |
|
1203 | for i in range(spc.shape[0]): | |
| 1204 |
|
1204 | |||
| 1205 | '''****** Line of Data CSPC ******''' |
|
1205 | '''****** Line of Data CSPC ******''' | |
| 1206 | cspcLine=cspc[i,:,Height].copy() |
|
1206 | cspcLine=cspc[i,:,Height].copy() | |
| 1207 |
|
1207 | |||
| 1208 | '''****** CSPC is normalized ******''' |
|
1208 | '''****** CSPC is normalized ******''' | |
| 1209 | chan_index0 = pairsList[i][0] |
|
1209 | chan_index0 = pairsList[i][0] | |
| 1210 | chan_index1 = pairsList[i][1] |
|
1210 | chan_index1 = pairsList[i][1] | |
| 1211 | CSPCFactor= abs(numpy.sum(ySamples[chan_index0]) * numpy.sum(ySamples[chan_index1])) # |
|
1211 | CSPCFactor= abs(numpy.sum(ySamples[chan_index0]) * numpy.sum(ySamples[chan_index1])) # | |
| 1212 |
|
1212 | |||
| 1213 | CSPCNorm = (cspcLine.copy() -noise[i]) / numpy.sqrt(CSPCFactor) |
|
1213 | CSPCNorm = (cspcLine.copy() -noise[i]) / numpy.sqrt(CSPCFactor) | |
| 1214 |
|
1214 | |||
| 1215 | CSPCSamples[i] = CSPCNorm |
|
1215 | CSPCSamples[i] = CSPCNorm | |
| 1216 | coherence[i] = numpy.abs(CSPCSamples[i]) / numpy.sqrt(CSPCFactor) |
|
1216 | coherence[i] = numpy.abs(CSPCSamples[i]) / numpy.sqrt(CSPCFactor) | |
| 1217 |
|
1217 | |||
| 1218 | coherence[i]= self.moving_average(coherence[i],N=2) |
|
1218 | coherence[i]= self.moving_average(coherence[i],N=2) | |
| 1219 |
|
1219 | |||
| 1220 | phase[i] = self.moving_average( numpy.arctan2(CSPCSamples[i].imag, CSPCSamples[i].real),N=1)#*180/numpy.pi |
|
1220 | phase[i] = self.moving_average( numpy.arctan2(CSPCSamples[i].imag, CSPCSamples[i].real),N=1)#*180/numpy.pi | |
| 1221 |
|
1221 | |||
| 1222 | print 'cspcLine', cspcLine.shape, cspcLine[0:20] |
|
1222 | print 'cspcLine', cspcLine.shape, cspcLine[0:20] | |
| 1223 | print 'CSPCFactor', CSPCFactor#, CSPCFactor[0:20] |
|
1223 | print 'CSPCFactor', CSPCFactor#, CSPCFactor[0:20] | |
| 1224 | print numpy.sum(ySamples[chan_index0]), numpy.sum(ySamples[chan_index1]), -noise[i] |
|
1224 | print numpy.sum(ySamples[chan_index0]), numpy.sum(ySamples[chan_index1]), -noise[i] | |
| 1225 | print 'CSPCNorm', CSPCNorm.shape, CSPCNorm[0:20] |
|
1225 | print 'CSPCNorm', CSPCNorm.shape, CSPCNorm[0:20] | |
| 1226 | print 'CSPCNorm suma', numpy.sum(CSPCNorm) |
|
1226 | print 'CSPCNorm suma', numpy.sum(CSPCNorm) | |
| 1227 | print 'CSPCSamples', CSPCSamples.shape, CSPCSamples[0,0:20] |
|
1227 | print 'CSPCSamples', CSPCSamples.shape, CSPCSamples[0,0:20] | |
| 1228 |
|
1228 | |||
| 1229 | '''****** Getting fij width ******''' |
|
1229 | '''****** Getting fij width ******''' | |
| 1230 |
|
1230 | |||
| 1231 | yMean=[] |
|
1231 | yMean=[] | |
| 1232 | yMean2=[] |
|
1232 | yMean2=[] | |
| 1233 |
|
1233 | |||
| 1234 | for j in range(len(ySamples[1])): |
|
1234 | for j in range(len(ySamples[1])): | |
| 1235 | yMean=numpy.append(yMean,numpy.mean([ySamples[0,j],ySamples[1,j],ySamples[2,j]])) |
|
1235 | yMean=numpy.append(yMean,numpy.mean([ySamples[0,j],ySamples[1,j],ySamples[2,j]])) | |
| 1236 |
|
1236 | |||
| 1237 | '''******* Getting fitting Gaussian ******''' |
|
1237 | '''******* Getting fitting Gaussian ******''' | |
| 1238 | meanGauss=sum(xSamples*yMean) / len(xSamples) |
|
1238 | meanGauss=sum(xSamples*yMean) / len(xSamples) | |
| 1239 | sigma=sum(yMean*(xSamples-meanGauss)**2) / len(xSamples) |
|
1239 | sigma=sum(yMean*(xSamples-meanGauss)**2) / len(xSamples) | |
| 1240 |
|
1240 | |||
| 1241 | print '****************************' |
|
1241 | print '****************************' | |
| 1242 | print 'len(xSamples): ',len(xSamples) |
|
1242 | print 'len(xSamples): ',len(xSamples) | |
| 1243 | print 'yMean: ', yMean.shape, yMean[0:20] |
|
1243 | print 'yMean: ', yMean.shape, yMean[0:20] | |
| 1244 | print 'ySamples', ySamples.shape, ySamples[0,0:20] |
|
1244 | print 'ySamples', ySamples.shape, ySamples[0,0:20] | |
| 1245 | print 'xSamples: ',xSamples.shape, xSamples[0:20] |
|
1245 | print 'xSamples: ',xSamples.shape, xSamples[0:20] | |
| 1246 |
|
1246 | |||
| 1247 | print 'meanGauss',meanGauss |
|
1247 | print 'meanGauss',meanGauss | |
| 1248 | print 'sigma',sigma |
|
1248 | print 'sigma',sigma | |
| 1249 |
|
1249 | |||
| 1250 | #if (abs(meanGauss/sigma**2) > 0.0001) : #0.000000001): |
|
1250 | #if (abs(meanGauss/sigma**2) > 0.0001) : #0.000000001): | |
| 1251 | if dbSNR > SNRlimit : |
|
1251 | if dbSNR > SNRlimit : | |
| 1252 | try: |
|
1252 | try: | |
| 1253 | popt,pcov = curve_fit(self.gaus,xSamples,yMean,p0=[1,meanGauss,sigma]) |
|
1253 | popt,pcov = curve_fit(self.gaus,xSamples,yMean,p0=[1,meanGauss,sigma]) | |
| 1254 |
|
1254 | |||
| 1255 | if numpy.amax(popt)>numpy.amax(yMean)*0.3: |
|
1255 | if numpy.amax(popt)>numpy.amax(yMean)*0.3: | |
| 1256 | FitGauss=self.gaus(xSamples,*popt) |
|
1256 | FitGauss=self.gaus(xSamples,*popt) | |
| 1257 |
|
1257 | |||
| 1258 | else: |
|
1258 | else: | |
| 1259 | FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) |
|
1259 | FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) | |
| 1260 | print 'Verificador: Dentro', Height |
|
1260 | print 'Verificador: Dentro', Height | |
| 1261 | except :#RuntimeError: |
|
1261 | except :#RuntimeError: | |
| 1262 | FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) |
|
1262 | FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) | |
| 1263 |
|
1263 | |||
| 1264 |
|
1264 | |||
| 1265 | else: |
|
1265 | else: | |
| 1266 | FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) |
|
1266 | FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) | |
| 1267 |
|
1267 | |||
| 1268 | Maximun=numpy.amax(yMean) |
|
1268 | Maximun=numpy.amax(yMean) | |
| 1269 | eMinus1=Maximun*numpy.exp(-1)#*0.8 |
|
1269 | eMinus1=Maximun*numpy.exp(-1)#*0.8 | |
| 1270 |
|
1270 | |||
| 1271 | HWpos=self.Find(FitGauss,min(FitGauss, key=lambda value:abs(value-eMinus1))) |
|
1271 | HWpos=self.Find(FitGauss,min(FitGauss, key=lambda value:abs(value-eMinus1))) | |
| 1272 | HalfWidth= xFrec[HWpos] |
|
1272 | HalfWidth= xFrec[HWpos] | |
| 1273 | GCpos=self.Find(FitGauss, numpy.amax(FitGauss)) |
|
1273 | GCpos=self.Find(FitGauss, numpy.amax(FitGauss)) | |
| 1274 | Vpos=self.Find(FactNorm, numpy.amax(FactNorm)) |
|
1274 | Vpos=self.Find(FactNorm, numpy.amax(FactNorm)) | |
| 1275 |
|
1275 | |||
| 1276 | #Vpos=FirstMoment[] |
|
1276 | #Vpos=FirstMoment[] | |
| 1277 |
|
1277 | |||
| 1278 | '''****** Getting Fij ******''' |
|
1278 | '''****** Getting Fij ******''' | |
| 1279 |
|
1279 | |||
| 1280 | GaussCenter=xFrec[GCpos] |
|
1280 | GaussCenter=xFrec[GCpos] | |
| 1281 | if (GaussCenter<0 and HalfWidth>0) or (GaussCenter>0 and HalfWidth<0): |
|
1281 | if (GaussCenter<0 and HalfWidth>0) or (GaussCenter>0 and HalfWidth<0): | |
| 1282 | Fij=abs(GaussCenter)+abs(HalfWidth)+0.0000001 |
|
1282 | Fij=abs(GaussCenter)+abs(HalfWidth)+0.0000001 | |
| 1283 | else: |
|
1283 | else: | |
| 1284 | Fij=abs(GaussCenter-HalfWidth)+0.0000001 |
|
1284 | Fij=abs(GaussCenter-HalfWidth)+0.0000001 | |
| 1285 |
|
1285 | |||
| 1286 | '''****** Getting Frecuency range of significant data ******''' |
|
1286 | '''****** Getting Frecuency range of significant data ******''' | |
| 1287 |
|
1287 | |||
| 1288 | Rangpos=self.Find(FitGauss,min(FitGauss, key=lambda value:abs(value-Maximun*0.10))) |
|
1288 | Rangpos=self.Find(FitGauss,min(FitGauss, key=lambda value:abs(value-Maximun*0.10))) | |
| 1289 |
|
1289 | |||
| 1290 | if Rangpos<GCpos: |
|
1290 | if Rangpos<GCpos: | |
| 1291 | Range=numpy.array([Rangpos,2*GCpos-Rangpos]) |
|
1291 | Range=numpy.array([Rangpos,2*GCpos-Rangpos]) | |
| 1292 | elif Rangpos< ( len(xFrec)- len(xFrec)*0.1): |
|
1292 | elif Rangpos< ( len(xFrec)- len(xFrec)*0.1): | |
| 1293 | Range=numpy.array([2*GCpos-Rangpos,Rangpos]) |
|
1293 | Range=numpy.array([2*GCpos-Rangpos,Rangpos]) | |
| 1294 | else: |
|
1294 | else: | |
| 1295 | Range = numpy.array([0,0]) |
|
1295 | Range = numpy.array([0,0]) | |
| 1296 |
|
1296 | |||
| 1297 | print ' ' |
|
1297 | print ' ' | |
| 1298 | print 'GCpos',GCpos, ( len(xFrec)- len(xFrec)*0.1) |
|
1298 | print 'GCpos',GCpos, ( len(xFrec)- len(xFrec)*0.1) | |
| 1299 | print 'Rangpos',Rangpos |
|
1299 | print 'Rangpos',Rangpos | |
| 1300 | print 'RANGE: ', Range |
|
1300 | print 'RANGE: ', Range | |
| 1301 | FrecRange=xFrec[Range[0]:Range[1]] |
|
1301 | FrecRange=xFrec[Range[0]:Range[1]] | |
| 1302 |
|
1302 | |||
| 1303 | '''****** Getting SCPC Slope ******''' |
|
1303 | '''****** Getting SCPC Slope ******''' | |
| 1304 |
|
1304 | |||
| 1305 | for i in range(spc.shape[0]): |
|
1305 | for i in range(spc.shape[0]): | |
| 1306 |
|
1306 | |||
| 1307 | if len(FrecRange)>5 and len(FrecRange)<spc.shape[1]*0.5: |
|
1307 | if len(FrecRange)>5 and len(FrecRange)<spc.shape[1]*0.5: | |
| 1308 | PhaseRange=self.moving_average(phase[i,Range[0]:Range[1]],N=3) |
|
1308 | PhaseRange=self.moving_average(phase[i,Range[0]:Range[1]],N=3) | |
| 1309 |
|
1309 | |||
| 1310 | print 'FrecRange', len(FrecRange) , FrecRange |
|
1310 | print 'FrecRange', len(FrecRange) , FrecRange | |
| 1311 | print 'PhaseRange', len(PhaseRange), PhaseRange |
|
1311 | print 'PhaseRange', len(PhaseRange), PhaseRange | |
| 1312 | print ' ' |
|
1312 | print ' ' | |
| 1313 | if len(FrecRange) == len(PhaseRange): |
|
1313 | if len(FrecRange) == len(PhaseRange): | |
| 1314 | slope, intercept, r_value, p_value, std_err = stats.linregress(FrecRange,PhaseRange) |
|
1314 | slope, intercept, r_value, p_value, std_err = stats.linregress(FrecRange,PhaseRange) | |
| 1315 | PhaseSlope[i]=slope |
|
1315 | PhaseSlope[i]=slope | |
| 1316 | PhaseInter[i]=intercept |
|
1316 | PhaseInter[i]=intercept | |
| 1317 | else: |
|
1317 | else: | |
| 1318 | PhaseSlope[i]=0 |
|
1318 | PhaseSlope[i]=0 | |
| 1319 | PhaseInter[i]=0 |
|
1319 | PhaseInter[i]=0 | |
| 1320 | else: |
|
1320 | else: | |
| 1321 | PhaseSlope[i]=0 |
|
1321 | PhaseSlope[i]=0 | |
| 1322 | PhaseInter[i]=0 |
|
1322 | PhaseInter[i]=0 | |
| 1323 |
|
1323 | |||
| 1324 | '''Getting constant C''' |
|
1324 | '''Getting constant C''' | |
| 1325 | cC=(Fij*numpy.pi)**2 |
|
1325 | cC=(Fij*numpy.pi)**2 | |
| 1326 |
|
1326 | |||
| 1327 | '''****** Getting constants F and G ******''' |
|
1327 | '''****** Getting constants F and G ******''' | |
| 1328 | MijEijNij=numpy.array([[E02,N02], [E12,N12]]) |
|
1328 | MijEijNij=numpy.array([[E02,N02], [E12,N12]]) | |
| 1329 | MijResult0=(-PhaseSlope[1]*cC) / (2*numpy.pi) |
|
1329 | MijResult0=(-PhaseSlope[1]*cC) / (2*numpy.pi) | |
| 1330 | MijResult1=(-PhaseSlope[2]*cC) / (2*numpy.pi) |
|
1330 | MijResult1=(-PhaseSlope[2]*cC) / (2*numpy.pi) | |
| 1331 | MijResults=numpy.array([MijResult0,MijResult1]) |
|
1331 | MijResults=numpy.array([MijResult0,MijResult1]) | |
| 1332 | (cF,cG) = numpy.linalg.solve(MijEijNij, MijResults) |
|
1332 | (cF,cG) = numpy.linalg.solve(MijEijNij, MijResults) | |
| 1333 |
|
1333 | |||
| 1334 | '''****** Getting constants A, B and H ******''' |
|
1334 | '''****** Getting constants A, B and H ******''' | |
| 1335 | W01=numpy.amax(coherence[0]) |
|
1335 | W01=numpy.amax(coherence[0]) | |
| 1336 | W02=numpy.amax(coherence[1]) |
|
1336 | W02=numpy.amax(coherence[1]) | |
| 1337 | W12=numpy.amax(coherence[2]) |
|
1337 | W12=numpy.amax(coherence[2]) | |
| 1338 |
|
1338 | |||
| 1339 | WijResult0=((cF*E01+cG*N01)**2)/cC - numpy.log(W01 / numpy.sqrt(numpy.pi/cC)) |
|
1339 | WijResult0=((cF*E01+cG*N01)**2)/cC - numpy.log(W01 / numpy.sqrt(numpy.pi/cC)) | |
| 1340 | WijResult1=((cF*E02+cG*N02)**2)/cC - numpy.log(W02 / numpy.sqrt(numpy.pi/cC)) |
|
1340 | WijResult1=((cF*E02+cG*N02)**2)/cC - numpy.log(W02 / numpy.sqrt(numpy.pi/cC)) | |
| 1341 | WijResult2=((cF*E12+cG*N12)**2)/cC - numpy.log(W12 / numpy.sqrt(numpy.pi/cC)) |
|
1341 | WijResult2=((cF*E12+cG*N12)**2)/cC - numpy.log(W12 / numpy.sqrt(numpy.pi/cC)) | |
| 1342 |
|
1342 | |||
| 1343 | WijResults=numpy.array([WijResult0, WijResult1, WijResult2]) |
|
1343 | WijResults=numpy.array([WijResult0, WijResult1, WijResult2]) | |
| 1344 |
|
1344 | |||
| 1345 | WijEijNij=numpy.array([ [E01**2, N01**2, 2*E01*N01] , [E02**2, N02**2, 2*E02*N02] , [E12**2, N12**2, 2*E12*N12] ]) |
|
1345 | WijEijNij=numpy.array([ [E01**2, N01**2, 2*E01*N01] , [E02**2, N02**2, 2*E02*N02] , [E12**2, N12**2, 2*E12*N12] ]) | |
| 1346 | (cA,cB,cH) = numpy.linalg.solve(WijEijNij, WijResults) |
|
1346 | (cA,cB,cH) = numpy.linalg.solve(WijEijNij, WijResults) | |
| 1347 |
|
1347 | |||
| 1348 | VxVy=numpy.array([[cA,cH],[cH,cB]]) |
|
1348 | VxVy=numpy.array([[cA,cH],[cH,cB]]) | |
| 1349 |
|
1349 | |||
| 1350 | VxVyResults=numpy.array([-cF,-cG]) |
|
1350 | VxVyResults=numpy.array([-cF,-cG]) | |
| 1351 | (Vx,Vy) = numpy.linalg.solve(VxVy, VxVyResults) |
|
1351 | (Vx,Vy) = numpy.linalg.solve(VxVy, VxVyResults) | |
| 1352 |
|
1352 | |||
| 1353 | Vzon = Vy |
|
1353 | Vzon = Vy | |
| 1354 | Vmer = Vx |
|
1354 | Vmer = Vx | |
| 1355 | Vmag=numpy.sqrt(Vzon**2+Vmer**2) |
|
1355 | Vmag=numpy.sqrt(Vzon**2+Vmer**2) | |
| 1356 | Vang=numpy.arctan2(Vmer,Vzon) |
|
1356 | Vang=numpy.arctan2(Vmer,Vzon) | |
| 1357 | Vver=xFrec[Vpos] |
|
1357 | Vver=xFrec[Vpos] | |
| 1358 | print 'vzon y vmer', Vzon, Vmer |
|
1358 | print 'vzon y vmer', Vzon, Vmer | |
| 1359 | return Vzon, Vmer, Vver, GaussCenter |
|
1359 | return Vzon, Vmer, Vver, GaussCenter | |
| 1360 |
|
1360 | |||
| 1361 | class SpectralMoments(Operation): |
|
1361 | class SpectralMoments(Operation): | |
| 1362 |
|
1362 | |||
| 1363 | ''' |
|
1363 | ''' | |
| 1364 | Function SpectralMoments() |
|
1364 | Function SpectralMoments() | |
| 1365 |
|
1365 | |||
| 1366 | Calculates moments (power, mean, standard deviation) and SNR of the signal |
|
1366 | Calculates moments (power, mean, standard deviation) and SNR of the signal | |
| 1367 |
|
1367 | |||
| 1368 | Type of dataIn: Spectra |
|
1368 | Type of dataIn: Spectra | |
| 1369 |
|
1369 | |||
| 1370 | Configuration Parameters: |
|
1370 | Configuration Parameters: | |
| 1371 |
|
1371 | |||
| 1372 | dirCosx : Cosine director in X axis |
|
1372 | dirCosx : Cosine director in X axis | |
| 1373 | dirCosy : Cosine director in Y axis |
|
1373 | dirCosy : Cosine director in Y axis | |
| 1374 |
|
1374 | |||
| 1375 | elevation : |
|
1375 | elevation : | |
| 1376 | azimuth : |
|
1376 | azimuth : | |
| 1377 |
|
1377 | |||
| 1378 | Input: |
|
1378 | Input: | |
| 1379 | channelList : simple channel list to select e.g. [2,3,7] |
|
1379 | channelList : simple channel list to select e.g. [2,3,7] | |
| 1380 | self.dataOut.data_pre : Spectral data |
|
1380 | self.dataOut.data_pre : Spectral data | |
| 1381 | self.dataOut.abscissaList : List of frequencies |
|
1381 | self.dataOut.abscissaList : List of frequencies | |
| 1382 | self.dataOut.noise : Noise level per channel |
|
1382 | self.dataOut.noise : Noise level per channel | |
| 1383 |
|
1383 | |||
| 1384 | Affected: |
|
1384 | Affected: | |
| 1385 | self.dataOut.data_param : Parameters per channel |
|
1385 | self.dataOut.data_param : Parameters per channel | |
| 1386 | self.dataOut.data_SNR : SNR per channel |
|
1386 | self.dataOut.data_SNR : SNR per channel | |
| 1387 |
|
1387 | |||
| 1388 | ''' |
|
1388 | ''' | |
| 1389 |
|
1389 | |||
| 1390 | def run(self, dataOut): |
|
1390 | def run(self, dataOut): | |
| 1391 |
|
1391 | |||
| 1392 | #dataOut.data_pre = dataOut.data_pre[0] |
|
1392 | #dataOut.data_pre = dataOut.data_pre[0] | |
| 1393 | data = dataOut.data_pre[0] |
|
1393 | data = dataOut.data_pre[0] | |
| 1394 | absc = dataOut.abscissaList[:-1] |
|
1394 | absc = dataOut.abscissaList[:-1] | |
| 1395 | noise = dataOut.noise |
|
1395 | noise = dataOut.noise | |
| 1396 | nChannel = data.shape[0] |
|
1396 | nChannel = data.shape[0] | |
| 1397 | data_param = numpy.zeros((nChannel, 4, data.shape[2])) |
|
1397 | data_param = numpy.zeros((nChannel, 4, data.shape[2])) | |
| 1398 |
|
1398 | |||
| 1399 | for ind in range(nChannel): |
|
1399 | for ind in range(nChannel): | |
| 1400 | data_param[ind,:,:] = self.__calculateMoments( data[ind,:,:] , absc , noise[ind] ) |
|
1400 | data_param[ind,:,:] = self.__calculateMoments( data[ind,:,:] , absc , noise[ind] ) | |
| 1401 |
|
1401 | |||
| 1402 | dataOut.data_param = data_param[:,1:,:] |
|
1402 | dataOut.data_param = data_param[:,1:,:] | |
| 1403 | dataOut.data_SNR = data_param[:,0] |
|
1403 | dataOut.data_SNR = data_param[:,0] | |
|
|
1404 | dataOut.data_DOP = data_param[:,1] | |||
|
|
1405 | dataOut.data_MEAN = data_param[:,2] | |||
|
|
1406 | dataOut.data_STD = data_param[:,3] | |||
| 1404 | return |
|
1407 | return | |
| 1405 |
|
1408 | |||
| 1406 | def __calculateMoments(self, oldspec, oldfreq, n0, |
|
1409 | def __calculateMoments(self, oldspec, oldfreq, n0, | |
| 1407 | nicoh = None, graph = None, smooth = None, type1 = None, fwindow = None, snrth = None, dc = None, aliasing = None, oldfd = None, wwauto = None): |
|
1410 | nicoh = None, graph = None, smooth = None, type1 = None, fwindow = None, snrth = None, dc = None, aliasing = None, oldfd = None, wwauto = None): | |
| 1408 |
|
1411 | |||
| 1409 | if (nicoh == None): nicoh = 1 |
|
1412 | if (nicoh == None): nicoh = 1 | |
| 1410 | if (graph == None): graph = 0 |
|
1413 | if (graph == None): graph = 0 | |
| 1411 | if (smooth == None): smooth = 0 |
|
1414 | if (smooth == None): smooth = 0 | |
| 1412 | elif (self.smooth < 3): smooth = 0 |
|
1415 | elif (self.smooth < 3): smooth = 0 | |
| 1413 |
|
1416 | |||
| 1414 | if (type1 == None): type1 = 0 |
|
1417 | if (type1 == None): type1 = 0 | |
| 1415 | if (fwindow == None): fwindow = numpy.zeros(oldfreq.size) + 1 |
|
1418 | if (fwindow == None): fwindow = numpy.zeros(oldfreq.size) + 1 | |
| 1416 | if (snrth == None): snrth = -3 |
|
1419 | if (snrth == None): snrth = -3 | |
| 1417 | if (dc == None): dc = 0 |
|
1420 | if (dc == None): dc = 0 | |
| 1418 | if (aliasing == None): aliasing = 0 |
|
1421 | if (aliasing == None): aliasing = 0 | |
| 1419 | if (oldfd == None): oldfd = 0 |
|
1422 | if (oldfd == None): oldfd = 0 | |
| 1420 | if (wwauto == None): wwauto = 0 |
|
1423 | if (wwauto == None): wwauto = 0 | |
| 1421 |
|
1424 | |||
| 1422 | if (n0 < 1.e-20): n0 = 1.e-20 |
|
1425 | if (n0 < 1.e-20): n0 = 1.e-20 | |
| 1423 |
|
1426 | |||
| 1424 | freq = oldfreq |
|
1427 | freq = oldfreq | |
| 1425 | vec_power = numpy.zeros(oldspec.shape[1]) |
|
1428 | vec_power = numpy.zeros(oldspec.shape[1]) | |
| 1426 | vec_fd = numpy.zeros(oldspec.shape[1]) |
|
1429 | vec_fd = numpy.zeros(oldspec.shape[1]) | |
| 1427 | vec_w = numpy.zeros(oldspec.shape[1]) |
|
1430 | vec_w = numpy.zeros(oldspec.shape[1]) | |
| 1428 | vec_snr = numpy.zeros(oldspec.shape[1]) |
|
1431 | vec_snr = numpy.zeros(oldspec.shape[1]) | |
| 1429 |
|
1432 | |||
| 1430 | for ind in range(oldspec.shape[1]): |
|
1433 | for ind in range(oldspec.shape[1]): | |
| 1431 |
|
1434 | |||
| 1432 | spec = oldspec[:,ind] |
|
1435 | spec = oldspec[:,ind] | |
| 1433 | aux = spec*fwindow |
|
1436 | aux = spec*fwindow | |
| 1434 | max_spec = aux.max() |
|
1437 | max_spec = aux.max() | |
| 1435 | m = list(aux).index(max_spec) |
|
1438 | m = list(aux).index(max_spec) | |
| 1436 |
|
1439 | |||
| 1437 | #Smooth |
|
1440 | #Smooth | |
| 1438 | if (smooth == 0): spec2 = spec |
|
1441 | if (smooth == 0): spec2 = spec | |
| 1439 | else: spec2 = scipy.ndimage.filters.uniform_filter1d(spec,size=smooth) |
|
1442 | else: spec2 = scipy.ndimage.filters.uniform_filter1d(spec,size=smooth) | |
| 1440 |
|
1443 | |||
| 1441 | # Calculo de Momentos |
|
1444 | # Calculo de Momentos | |
| 1442 | bb = spec2[range(m,spec2.size)] |
|
1445 | bb = spec2[range(m,spec2.size)] | |
| 1443 | bb = (bb<n0).nonzero() |
|
1446 | bb = (bb<n0).nonzero() | |
| 1444 | bb = bb[0] |
|
1447 | bb = bb[0] | |
| 1445 |
|
1448 | |||
| 1446 | ss = spec2[range(0,m + 1)] |
|
1449 | ss = spec2[range(0,m + 1)] | |
| 1447 | ss = (ss<n0).nonzero() |
|
1450 | ss = (ss<n0).nonzero() | |
| 1448 | ss = ss[0] |
|
1451 | ss = ss[0] | |
| 1449 |
|
1452 | |||
| 1450 | if (bb.size == 0): |
|
1453 | if (bb.size == 0): | |
| 1451 | bb0 = spec.size - 1 - m |
|
1454 | bb0 = spec.size - 1 - m | |
| 1452 | else: |
|
1455 | else: | |
| 1453 | bb0 = bb[0] - 1 |
|
1456 | bb0 = bb[0] - 1 | |
| 1454 | if (bb0 < 0): |
|
1457 | if (bb0 < 0): | |
| 1455 | bb0 = 0 |
|
1458 | bb0 = 0 | |
| 1456 |
|
1459 | |||
| 1457 | if (ss.size == 0): ss1 = 1 |
|
1460 | if (ss.size == 0): ss1 = 1 | |
| 1458 | else: ss1 = max(ss) + 1 |
|
1461 | else: ss1 = max(ss) + 1 | |
| 1459 |
|
1462 | |||
| 1460 | if (ss1 > m): ss1 = m |
|
1463 | if (ss1 > m): ss1 = m | |
| 1461 |
|
1464 | |||
| 1462 | valid = numpy.asarray(range(int(m + bb0 - ss1 + 1))) + ss1 |
|
1465 | valid = numpy.asarray(range(int(m + bb0 - ss1 + 1))) + ss1 | |
| 1463 | power = ((spec2[valid] - n0)*fwindow[valid]).sum() |
|
1466 | power = ((spec2[valid] - n0)*fwindow[valid]).sum() | |
| 1464 | fd = ((spec2[valid]- n0)*freq[valid]*fwindow[valid]).sum()/power |
|
1467 | fd = ((spec2[valid]- n0)*freq[valid]*fwindow[valid]).sum()/power | |
| 1465 | w = math.sqrt(((spec2[valid] - n0)*fwindow[valid]*(freq[valid]- fd)**2).sum()/power) |
|
1468 | w = math.sqrt(((spec2[valid] - n0)*fwindow[valid]*(freq[valid]- fd)**2).sum()/power) | |
| 1466 | snr = (spec2.mean()-n0)/n0 |
|
1469 | snr = (spec2.mean()-n0)/n0 | |
| 1467 |
|
1470 | |||
| 1468 | if (snr < 1.e-20) : |
|
1471 | if (snr < 1.e-20) : | |
| 1469 | snr = 1.e-20 |
|
1472 | snr = 1.e-20 | |
| 1470 |
|
1473 | |||
| 1471 | vec_power[ind] = power |
|
1474 | vec_power[ind] = power | |
| 1472 | vec_fd[ind] = fd |
|
1475 | vec_fd[ind] = fd | |
| 1473 | vec_w[ind] = w |
|
1476 | vec_w[ind] = w | |
| 1474 | vec_snr[ind] = snr |
|
1477 | vec_snr[ind] = snr | |
| 1475 |
|
1478 | |||
| 1476 | moments = numpy.vstack((vec_snr, vec_power, vec_fd, vec_w)) |
|
1479 | moments = numpy.vstack((vec_snr, vec_power, vec_fd, vec_w)) | |
| 1477 | return moments |
|
1480 | return moments | |
| 1478 |
|
1481 | |||
| 1479 | #------------------ Get SA Parameters -------------------------- |
|
1482 | #------------------ Get SA Parameters -------------------------- | |
| 1480 |
|
1483 | |||
| 1481 | def GetSAParameters(self): |
|
1484 | def GetSAParameters(self): | |
| 1482 | #SA en frecuencia |
|
1485 | #SA en frecuencia | |
| 1483 | pairslist = self.dataOut.groupList |
|
1486 | pairslist = self.dataOut.groupList | |
| 1484 | num_pairs = len(pairslist) |
|
1487 | num_pairs = len(pairslist) | |
| 1485 |
|
1488 | |||
| 1486 | vel = self.dataOut.abscissaList |
|
1489 | vel = self.dataOut.abscissaList | |
| 1487 | spectra = self.dataOut.data_pre |
|
1490 | spectra = self.dataOut.data_pre | |
| 1488 | cspectra = self.dataIn.data_cspc |
|
1491 | cspectra = self.dataIn.data_cspc | |
| 1489 | delta_v = vel[1] - vel[0] |
|
1492 | delta_v = vel[1] - vel[0] | |
| 1490 |
|
1493 | |||
| 1491 | #Calculating the power spectrum |
|
1494 | #Calculating the power spectrum | |
| 1492 | spc_pow = numpy.sum(spectra, 3)*delta_v |
|
1495 | spc_pow = numpy.sum(spectra, 3)*delta_v | |
| 1493 | #Normalizing Spectra |
|
1496 | #Normalizing Spectra | |
| 1494 | norm_spectra = spectra/spc_pow |
|
1497 | norm_spectra = spectra/spc_pow | |
| 1495 | #Calculating the norm_spectra at peak |
|
1498 | #Calculating the norm_spectra at peak | |
| 1496 | max_spectra = numpy.max(norm_spectra, 3) |
|
1499 | max_spectra = numpy.max(norm_spectra, 3) | |
| 1497 |
|
1500 | |||
| 1498 | #Normalizing Cross Spectra |
|
1501 | #Normalizing Cross Spectra | |
| 1499 | norm_cspectra = numpy.zeros(cspectra.shape) |
|
1502 | norm_cspectra = numpy.zeros(cspectra.shape) | |
| 1500 |
|
1503 | |||
| 1501 | for i in range(num_chan): |
|
1504 | for i in range(num_chan): | |
| 1502 | norm_cspectra[i,:,:] = cspectra[i,:,:]/numpy.sqrt(spc_pow[pairslist[i][0],:]*spc_pow[pairslist[i][1],:]) |
|
1505 | norm_cspectra[i,:,:] = cspectra[i,:,:]/numpy.sqrt(spc_pow[pairslist[i][0],:]*spc_pow[pairslist[i][1],:]) | |
| 1503 |
|
1506 | |||
| 1504 | max_cspectra = numpy.max(norm_cspectra,2) |
|
1507 | max_cspectra = numpy.max(norm_cspectra,2) | |
| 1505 | max_cspectra_index = numpy.argmax(norm_cspectra, 2) |
|
1508 | max_cspectra_index = numpy.argmax(norm_cspectra, 2) | |
| 1506 |
|
1509 | |||
| 1507 | for i in range(num_pairs): |
|
1510 | for i in range(num_pairs): | |
| 1508 | cspc_par[i,:,:] = __calculateMoments(norm_cspectra) |
|
1511 | cspc_par[i,:,:] = __calculateMoments(norm_cspectra) | |
| 1509 | #------------------- Get Lags ---------------------------------- |
|
1512 | #------------------- Get Lags ---------------------------------- | |
| 1510 |
|
1513 | |||
| 1511 | class SALags(Operation): |
|
1514 | class SALags(Operation): | |
| 1512 | ''' |
|
1515 | ''' | |
| 1513 | Function GetMoments() |
|
1516 | Function GetMoments() | |
| 1514 |
|
1517 | |||
| 1515 | Input: |
|
1518 | Input: | |
| 1516 | self.dataOut.data_pre |
|
1519 | self.dataOut.data_pre | |
| 1517 | self.dataOut.abscissaList |
|
1520 | self.dataOut.abscissaList | |
| 1518 | self.dataOut.noise |
|
1521 | self.dataOut.noise | |
| 1519 | self.dataOut.normFactor |
|
1522 | self.dataOut.normFactor | |
| 1520 | self.dataOut.data_SNR |
|
1523 | self.dataOut.data_SNR | |
| 1521 | self.dataOut.groupList |
|
1524 | self.dataOut.groupList | |
| 1522 | self.dataOut.nChannels |
|
1525 | self.dataOut.nChannels | |
| 1523 |
|
1526 | |||
| 1524 | Affected: |
|
1527 | Affected: | |
| 1525 | self.dataOut.data_param |
|
1528 | self.dataOut.data_param | |
| 1526 |
|
1529 | |||
| 1527 | ''' |
|
1530 | ''' | |
| 1528 | def run(self, dataOut): |
|
1531 | def run(self, dataOut): | |
| 1529 | data_acf = dataOut.data_pre[0] |
|
1532 | data_acf = dataOut.data_pre[0] | |
| 1530 | data_ccf = dataOut.data_pre[1] |
|
1533 | data_ccf = dataOut.data_pre[1] | |
| 1531 | normFactor_acf = dataOut.normFactor[0] |
|
1534 | normFactor_acf = dataOut.normFactor[0] | |
| 1532 | normFactor_ccf = dataOut.normFactor[1] |
|
1535 | normFactor_ccf = dataOut.normFactor[1] | |
| 1533 | pairs_acf = dataOut.groupList[0] |
|
1536 | pairs_acf = dataOut.groupList[0] | |
| 1534 | pairs_ccf = dataOut.groupList[1] |
|
1537 | pairs_ccf = dataOut.groupList[1] | |
| 1535 |
|
1538 | |||
| 1536 | nHeights = dataOut.nHeights |
|
1539 | nHeights = dataOut.nHeights | |
| 1537 | absc = dataOut.abscissaList |
|
1540 | absc = dataOut.abscissaList | |
| 1538 | noise = dataOut.noise |
|
1541 | noise = dataOut.noise | |
| 1539 | SNR = dataOut.data_SNR |
|
1542 | SNR = dataOut.data_SNR | |
| 1540 | nChannels = dataOut.nChannels |
|
1543 | nChannels = dataOut.nChannels | |
| 1541 | # pairsList = dataOut.groupList |
|
1544 | # pairsList = dataOut.groupList | |
| 1542 | # pairsAutoCorr, pairsCrossCorr = self.__getPairsAutoCorr(pairsList, nChannels) |
|
1545 | # pairsAutoCorr, pairsCrossCorr = self.__getPairsAutoCorr(pairsList, nChannels) | |
| 1543 |
|
1546 | |||
| 1544 | for l in range(len(pairs_acf)): |
|
1547 | for l in range(len(pairs_acf)): | |
| 1545 | data_acf[l,:,:] = data_acf[l,:,:]/normFactor_acf[l,:] |
|
1548 | data_acf[l,:,:] = data_acf[l,:,:]/normFactor_acf[l,:] | |
| 1546 |
|
1549 | |||
| 1547 | for l in range(len(pairs_ccf)): |
|
1550 | for l in range(len(pairs_ccf)): | |
| 1548 | data_ccf[l,:,:] = data_ccf[l,:,:]/normFactor_ccf[l,:] |
|
1551 | data_ccf[l,:,:] = data_ccf[l,:,:]/normFactor_ccf[l,:] | |
| 1549 |
|
1552 | |||
| 1550 | dataOut.data_param = numpy.zeros((len(pairs_ccf)*2 + 1, nHeights)) |
|
1553 | dataOut.data_param = numpy.zeros((len(pairs_ccf)*2 + 1, nHeights)) | |
| 1551 | dataOut.data_param[:-1,:] = self.__calculateTaus(data_acf, data_ccf, absc) |
|
1554 | dataOut.data_param[:-1,:] = self.__calculateTaus(data_acf, data_ccf, absc) | |
| 1552 | dataOut.data_param[-1,:] = self.__calculateLag1Phase(data_acf, absc) |
|
1555 | dataOut.data_param[-1,:] = self.__calculateLag1Phase(data_acf, absc) | |
| 1553 | return |
|
1556 | return | |
| 1554 |
|
1557 | |||
| 1555 | # def __getPairsAutoCorr(self, pairsList, nChannels): |
|
1558 | # def __getPairsAutoCorr(self, pairsList, nChannels): | |
| 1556 | # |
|
1559 | # | |
| 1557 | # pairsAutoCorr = numpy.zeros(nChannels, dtype = 'int')*numpy.nan |
|
1560 | # pairsAutoCorr = numpy.zeros(nChannels, dtype = 'int')*numpy.nan | |
| 1558 | # |
|
1561 | # | |
| 1559 | # for l in range(len(pairsList)): |
|
1562 | # for l in range(len(pairsList)): | |
| 1560 | # firstChannel = pairsList[l][0] |
|
1563 | # firstChannel = pairsList[l][0] | |
| 1561 | # secondChannel = pairsList[l][1] |
|
1564 | # secondChannel = pairsList[l][1] | |
| 1562 | # |
|
1565 | # | |
| 1563 | # #Obteniendo pares de Autocorrelacion |
|
1566 | # #Obteniendo pares de Autocorrelacion | |
| 1564 | # if firstChannel == secondChannel: |
|
1567 | # if firstChannel == secondChannel: | |
| 1565 | # pairsAutoCorr[firstChannel] = int(l) |
|
1568 | # pairsAutoCorr[firstChannel] = int(l) | |
| 1566 | # |
|
1569 | # | |
| 1567 | # pairsAutoCorr = pairsAutoCorr.astype(int) |
|
1570 | # pairsAutoCorr = pairsAutoCorr.astype(int) | |
| 1568 | # |
|
1571 | # | |
| 1569 | # pairsCrossCorr = range(len(pairsList)) |
|
1572 | # pairsCrossCorr = range(len(pairsList)) | |
| 1570 | # pairsCrossCorr = numpy.delete(pairsCrossCorr,pairsAutoCorr) |
|
1573 | # pairsCrossCorr = numpy.delete(pairsCrossCorr,pairsAutoCorr) | |
| 1571 | # |
|
1574 | # | |
| 1572 | # return pairsAutoCorr, pairsCrossCorr |
|
1575 | # return pairsAutoCorr, pairsCrossCorr | |
| 1573 |
|
1576 | |||
| 1574 | def __calculateTaus(self, data_acf, data_ccf, lagRange): |
|
1577 | def __calculateTaus(self, data_acf, data_ccf, lagRange): | |
| 1575 |
|
1578 | |||
| 1576 | lag0 = data_acf.shape[1]/2 |
|
1579 | lag0 = data_acf.shape[1]/2 | |
| 1577 | #Funcion de Autocorrelacion |
|
1580 | #Funcion de Autocorrelacion | |
| 1578 | mean_acf = stats.nanmean(data_acf, axis = 0) |
|
1581 | mean_acf = stats.nanmean(data_acf, axis = 0) | |
| 1579 |
|
1582 | |||
| 1580 | #Obtencion Indice de TauCross |
|
1583 | #Obtencion Indice de TauCross | |
| 1581 | ind_ccf = data_ccf.argmax(axis = 1) |
|
1584 | ind_ccf = data_ccf.argmax(axis = 1) | |
| 1582 | #Obtencion Indice de TauAuto |
|
1585 | #Obtencion Indice de TauAuto | |
| 1583 | ind_acf = numpy.zeros(ind_ccf.shape,dtype = 'int') |
|
1586 | ind_acf = numpy.zeros(ind_ccf.shape,dtype = 'int') | |
| 1584 | ccf_lag0 = data_ccf[:,lag0,:] |
|
1587 | ccf_lag0 = data_ccf[:,lag0,:] | |
| 1585 |
|
1588 | |||
| 1586 | for i in range(ccf_lag0.shape[0]): |
|
1589 | for i in range(ccf_lag0.shape[0]): | |
| 1587 | ind_acf[i,:] = numpy.abs(mean_acf - ccf_lag0[i,:]).argmin(axis = 0) |
|
1590 | ind_acf[i,:] = numpy.abs(mean_acf - ccf_lag0[i,:]).argmin(axis = 0) | |
| 1588 |
|
1591 | |||
| 1589 | #Obtencion de TauCross y TauAuto |
|
1592 | #Obtencion de TauCross y TauAuto | |
| 1590 | tau_ccf = lagRange[ind_ccf] |
|
1593 | tau_ccf = lagRange[ind_ccf] | |
| 1591 | tau_acf = lagRange[ind_acf] |
|
1594 | tau_acf = lagRange[ind_acf] | |
| 1592 |
|
1595 | |||
| 1593 | Nan1, Nan2 = numpy.where(tau_ccf == lagRange[0]) |
|
1596 | Nan1, Nan2 = numpy.where(tau_ccf == lagRange[0]) | |
| 1594 |
|
1597 | |||
| 1595 | tau_ccf[Nan1,Nan2] = numpy.nan |
|
1598 | tau_ccf[Nan1,Nan2] = numpy.nan | |
| 1596 | tau_acf[Nan1,Nan2] = numpy.nan |
|
1599 | tau_acf[Nan1,Nan2] = numpy.nan | |
| 1597 | tau = numpy.vstack((tau_ccf,tau_acf)) |
|
1600 | tau = numpy.vstack((tau_ccf,tau_acf)) | |
| 1598 |
|
1601 | |||
| 1599 | return tau |
|
1602 | return tau | |
| 1600 |
|
1603 | |||
| 1601 | def __calculateLag1Phase(self, data, lagTRange): |
|
1604 | def __calculateLag1Phase(self, data, lagTRange): | |
| 1602 | data1 = stats.nanmean(data, axis = 0) |
|
1605 | data1 = stats.nanmean(data, axis = 0) | |
| 1603 | lag1 = numpy.where(lagTRange == 0)[0][0] + 1 |
|
1606 | lag1 = numpy.where(lagTRange == 0)[0][0] + 1 | |
| 1604 |
|
1607 | |||
| 1605 | phase = numpy.angle(data1[lag1,:]) |
|
1608 | phase = numpy.angle(data1[lag1,:]) | |
| 1606 |
|
1609 | |||
| 1607 | return phase |
|
1610 | return phase | |
| 1608 |
|
1611 | |||
| 1609 | class SpectralFitting(Operation): |
|
1612 | class SpectralFitting(Operation): | |
| 1610 | ''' |
|
1613 | ''' | |
| 1611 | Function GetMoments() |
|
1614 | Function GetMoments() | |
| 1612 |
|
1615 | |||
| 1613 | Input: |
|
1616 | Input: | |
| 1614 | Output: |
|
1617 | Output: | |
| 1615 | Variables modified: |
|
1618 | Variables modified: | |
| 1616 | ''' |
|
1619 | ''' | |
| 1617 |
|
1620 | |||
| 1618 | def run(self, dataOut, getSNR = True, path=None, file=None, groupList=None): |
|
1621 | def run(self, dataOut, getSNR = True, path=None, file=None, groupList=None): | |
| 1619 |
|
1622 | |||
| 1620 |
|
1623 | |||
| 1621 | if path != None: |
|
1624 | if path != None: | |
| 1622 | sys.path.append(path) |
|
1625 | sys.path.append(path) | |
| 1623 | self.dataOut.library = importlib.import_module(file) |
|
1626 | self.dataOut.library = importlib.import_module(file) | |
| 1624 |
|
1627 | |||
| 1625 | #To be inserted as a parameter |
|
1628 | #To be inserted as a parameter | |
| 1626 | groupArray = numpy.array(groupList) |
|
1629 | groupArray = numpy.array(groupList) | |
| 1627 | # groupArray = numpy.array([[0,1],[2,3]]) |
|
1630 | # groupArray = numpy.array([[0,1],[2,3]]) | |
| 1628 | self.dataOut.groupList = groupArray |
|
1631 | self.dataOut.groupList = groupArray | |
| 1629 |
|
1632 | |||
| 1630 | nGroups = groupArray.shape[0] |
|
1633 | nGroups = groupArray.shape[0] | |
| 1631 | nChannels = self.dataIn.nChannels |
|
1634 | nChannels = self.dataIn.nChannels | |
| 1632 | nHeights=self.dataIn.heightList.size |
|
1635 | nHeights=self.dataIn.heightList.size | |
| 1633 |
|
1636 | |||
| 1634 | #Parameters Array |
|
1637 | #Parameters Array | |
| 1635 | self.dataOut.data_param = None |
|
1638 | self.dataOut.data_param = None | |
| 1636 |
|
1639 | |||
| 1637 | #Set constants |
|
1640 | #Set constants | |
| 1638 | constants = self.dataOut.library.setConstants(self.dataIn) |
|
1641 | constants = self.dataOut.library.setConstants(self.dataIn) | |
| 1639 | self.dataOut.constants = constants |
|
1642 | self.dataOut.constants = constants | |
| 1640 | M = self.dataIn.normFactor |
|
1643 | M = self.dataIn.normFactor | |
| 1641 | N = self.dataIn.nFFTPoints |
|
1644 | N = self.dataIn.nFFTPoints | |
| 1642 | ippSeconds = self.dataIn.ippSeconds |
|
1645 | ippSeconds = self.dataIn.ippSeconds | |
| 1643 | K = self.dataIn.nIncohInt |
|
1646 | K = self.dataIn.nIncohInt | |
| 1644 | pairsArray = numpy.array(self.dataIn.pairsList) |
|
1647 | pairsArray = numpy.array(self.dataIn.pairsList) | |
| 1645 |
|
1648 | |||
| 1646 | #List of possible combinations |
|
1649 | #List of possible combinations | |
| 1647 | listComb = itertools.combinations(numpy.arange(groupArray.shape[1]),2) |
|
1650 | listComb = itertools.combinations(numpy.arange(groupArray.shape[1]),2) | |
| 1648 | indCross = numpy.zeros(len(list(listComb)), dtype = 'int') |
|
1651 | indCross = numpy.zeros(len(list(listComb)), dtype = 'int') | |
| 1649 |
|
1652 | |||
| 1650 | if getSNR: |
|
1653 | if getSNR: | |
| 1651 | listChannels = groupArray.reshape((groupArray.size)) |
|
1654 | listChannels = groupArray.reshape((groupArray.size)) | |
| 1652 | listChannels.sort() |
|
1655 | listChannels.sort() | |
| 1653 | noise = self.dataIn.getNoise() |
|
1656 | noise = self.dataIn.getNoise() | |
| 1654 | self.dataOut.data_SNR = self.__getSNR(self.dataIn.data_spc[listChannels,:,:], noise[listChannels]) |
|
1657 | self.dataOut.data_SNR = self.__getSNR(self.dataIn.data_spc[listChannels,:,:], noise[listChannels]) | |
| 1655 |
|
1658 | |||
| 1656 | for i in range(nGroups): |
|
1659 | for i in range(nGroups): | |
| 1657 | coord = groupArray[i,:] |
|
1660 | coord = groupArray[i,:] | |
| 1658 |
|
1661 | |||
| 1659 | #Input data array |
|
1662 | #Input data array | |
| 1660 | data = self.dataIn.data_spc[coord,:,:]/(M*N) |
|
1663 | data = self.dataIn.data_spc[coord,:,:]/(M*N) | |
| 1661 | data = data.reshape((data.shape[0]*data.shape[1],data.shape[2])) |
|
1664 | data = data.reshape((data.shape[0]*data.shape[1],data.shape[2])) | |
| 1662 |
|
1665 | |||
| 1663 | #Cross Spectra data array for Covariance Matrixes |
|
1666 | #Cross Spectra data array for Covariance Matrixes | |
| 1664 | ind = 0 |
|
1667 | ind = 0 | |
| 1665 | for pairs in listComb: |
|
1668 | for pairs in listComb: | |
| 1666 | pairsSel = numpy.array([coord[x],coord[y]]) |
|
1669 | pairsSel = numpy.array([coord[x],coord[y]]) | |
| 1667 | indCross[ind] = int(numpy.where(numpy.all(pairsArray == pairsSel, axis = 1))[0][0]) |
|
1670 | indCross[ind] = int(numpy.where(numpy.all(pairsArray == pairsSel, axis = 1))[0][0]) | |
| 1668 | ind += 1 |
|
1671 | ind += 1 | |
| 1669 | dataCross = self.dataIn.data_cspc[indCross,:,:]/(M*N) |
|
1672 | dataCross = self.dataIn.data_cspc[indCross,:,:]/(M*N) | |
| 1670 | dataCross = dataCross**2/K |
|
1673 | dataCross = dataCross**2/K | |
| 1671 |
|
1674 | |||
| 1672 | for h in range(nHeights): |
|
1675 | for h in range(nHeights): | |
| 1673 | # print self.dataOut.heightList[h] |
|
1676 | # print self.dataOut.heightList[h] | |
| 1674 |
|
1677 | |||
| 1675 | #Input |
|
1678 | #Input | |
| 1676 | d = data[:,h] |
|
1679 | d = data[:,h] | |
| 1677 |
|
1680 | |||
| 1678 | #Covariance Matrix |
|
1681 | #Covariance Matrix | |
| 1679 | D = numpy.diag(d**2/K) |
|
1682 | D = numpy.diag(d**2/K) | |
| 1680 | ind = 0 |
|
1683 | ind = 0 | |
| 1681 | for pairs in listComb: |
|
1684 | for pairs in listComb: | |
| 1682 | #Coordinates in Covariance Matrix |
|
1685 | #Coordinates in Covariance Matrix | |
| 1683 | x = pairs[0] |
|
1686 | x = pairs[0] | |
| 1684 | y = pairs[1] |
|
1687 | y = pairs[1] | |
| 1685 | #Channel Index |
|
1688 | #Channel Index | |
| 1686 | S12 = dataCross[ind,:,h] |
|
1689 | S12 = dataCross[ind,:,h] | |
| 1687 | D12 = numpy.diag(S12) |
|
1690 | D12 = numpy.diag(S12) | |
| 1688 | #Completing Covariance Matrix with Cross Spectras |
|
1691 | #Completing Covariance Matrix with Cross Spectras | |
| 1689 | D[x*N:(x+1)*N,y*N:(y+1)*N] = D12 |
|
1692 | D[x*N:(x+1)*N,y*N:(y+1)*N] = D12 | |
| 1690 | D[y*N:(y+1)*N,x*N:(x+1)*N] = D12 |
|
1693 | D[y*N:(y+1)*N,x*N:(x+1)*N] = D12 | |
| 1691 | ind += 1 |
|
1694 | ind += 1 | |
| 1692 | Dinv=numpy.linalg.inv(D) |
|
1695 | Dinv=numpy.linalg.inv(D) | |
| 1693 | L=numpy.linalg.cholesky(Dinv) |
|
1696 | L=numpy.linalg.cholesky(Dinv) | |
| 1694 | LT=L.T |
|
1697 | LT=L.T | |
| 1695 |
|
1698 | |||
| 1696 | dp = numpy.dot(LT,d) |
|
1699 | dp = numpy.dot(LT,d) | |
| 1697 |
|
1700 | |||
| 1698 | #Initial values |
|
1701 | #Initial values | |
| 1699 | data_spc = self.dataIn.data_spc[coord,:,h] |
|
1702 | data_spc = self.dataIn.data_spc[coord,:,h] | |
| 1700 |
|
1703 | |||
| 1701 | if (h>0)and(error1[3]<5): |
|
1704 | if (h>0)and(error1[3]<5): | |
| 1702 | p0 = self.dataOut.data_param[i,:,h-1] |
|
1705 | p0 = self.dataOut.data_param[i,:,h-1] | |
| 1703 | else: |
|
1706 | else: | |
| 1704 | p0 = numpy.array(self.dataOut.library.initialValuesFunction(data_spc, constants, i)) |
|
1707 | p0 = numpy.array(self.dataOut.library.initialValuesFunction(data_spc, constants, i)) | |
| 1705 |
|
1708 | |||
| 1706 | try: |
|
1709 | try: | |
| 1707 | #Least Squares |
|
1710 | #Least Squares | |
| 1708 | minp,covp,infodict,mesg,ier = optimize.leastsq(self.__residFunction,p0,args=(dp,LT,constants),full_output=True) |
|
1711 | minp,covp,infodict,mesg,ier = optimize.leastsq(self.__residFunction,p0,args=(dp,LT,constants),full_output=True) | |
| 1709 | # minp,covp = optimize.leastsq(self.__residFunction,p0,args=(dp,LT,constants)) |
|
1712 | # minp,covp = optimize.leastsq(self.__residFunction,p0,args=(dp,LT,constants)) | |
| 1710 | #Chi square error |
|
1713 | #Chi square error | |
| 1711 | error0 = numpy.sum(infodict['fvec']**2)/(2*N) |
|
1714 | error0 = numpy.sum(infodict['fvec']**2)/(2*N) | |
| 1712 | #Error with Jacobian |
|
1715 | #Error with Jacobian | |
| 1713 | error1 = self.dataOut.library.errorFunction(minp,constants,LT) |
|
1716 | error1 = self.dataOut.library.errorFunction(minp,constants,LT) | |
| 1714 | except: |
|
1717 | except: | |
| 1715 | minp = p0*numpy.nan |
|
1718 | minp = p0*numpy.nan | |
| 1716 | error0 = numpy.nan |
|
1719 | error0 = numpy.nan | |
| 1717 | error1 = p0*numpy.nan |
|
1720 | error1 = p0*numpy.nan | |
| 1718 |
|
1721 | |||
| 1719 | #Save |
|
1722 | #Save | |
| 1720 | if self.dataOut.data_param == None: |
|
1723 | if self.dataOut.data_param == None: | |
| 1721 | self.dataOut.data_param = numpy.zeros((nGroups, p0.size, nHeights))*numpy.nan |
|
1724 | self.dataOut.data_param = numpy.zeros((nGroups, p0.size, nHeights))*numpy.nan | |
| 1722 | self.dataOut.data_error = numpy.zeros((nGroups, p0.size + 1, nHeights))*numpy.nan |
|
1725 | self.dataOut.data_error = numpy.zeros((nGroups, p0.size + 1, nHeights))*numpy.nan | |
| 1723 |
|
1726 | |||
| 1724 | self.dataOut.data_error[i,:,h] = numpy.hstack((error0,error1)) |
|
1727 | self.dataOut.data_error[i,:,h] = numpy.hstack((error0,error1)) | |
| 1725 | self.dataOut.data_param[i,:,h] = minp |
|
1728 | self.dataOut.data_param[i,:,h] = minp | |
| 1726 | return |
|
1729 | return | |
| 1727 |
|
1730 | |||
| 1728 | def __residFunction(self, p, dp, LT, constants): |
|
1731 | def __residFunction(self, p, dp, LT, constants): | |
| 1729 |
|
1732 | |||
| 1730 | fm = self.dataOut.library.modelFunction(p, constants) |
|
1733 | fm = self.dataOut.library.modelFunction(p, constants) | |
| 1731 | fmp=numpy.dot(LT,fm) |
|
1734 | fmp=numpy.dot(LT,fm) | |
| 1732 |
|
1735 | |||
| 1733 | return dp-fmp |
|
1736 | return dp-fmp | |
| 1734 |
|
1737 | |||
| 1735 | def __getSNR(self, z, noise): |
|
1738 | def __getSNR(self, z, noise): | |
| 1736 |
|
1739 | |||
| 1737 | avg = numpy.average(z, axis=1) |
|
1740 | avg = numpy.average(z, axis=1) | |
| 1738 | SNR = (avg.T-noise)/noise |
|
1741 | SNR = (avg.T-noise)/noise | |
| 1739 | SNR = SNR.T |
|
1742 | SNR = SNR.T | |
| 1740 | return SNR |
|
1743 | return SNR | |
| 1741 |
|
1744 | |||
| 1742 | def __chisq(p,chindex,hindex): |
|
1745 | def __chisq(p,chindex,hindex): | |
| 1743 | #similar to Resid but calculates CHI**2 |
|
1746 | #similar to Resid but calculates CHI**2 | |
| 1744 | [LT,d,fm]=setupLTdfm(p,chindex,hindex) |
|
1747 | [LT,d,fm]=setupLTdfm(p,chindex,hindex) | |
| 1745 | dp=numpy.dot(LT,d) |
|
1748 | dp=numpy.dot(LT,d) | |
| 1746 | fmp=numpy.dot(LT,fm) |
|
1749 | fmp=numpy.dot(LT,fm) | |
| 1747 | chisq=numpy.dot((dp-fmp).T,(dp-fmp)) |
|
1750 | chisq=numpy.dot((dp-fmp).T,(dp-fmp)) | |
| 1748 | return chisq |
|
1751 | return chisq | |
| 1749 |
|
1752 | |||
| 1750 | class WindProfiler(Operation): |
|
1753 | class WindProfiler(Operation): | |
| 1751 |
|
1754 | |||
| 1752 | __isConfig = False |
|
1755 | __isConfig = False | |
| 1753 |
|
1756 | |||
| 1754 | __initime = None |
|
1757 | __initime = None | |
| 1755 | __lastdatatime = None |
|
1758 | __lastdatatime = None | |
| 1756 | __integrationtime = None |
|
1759 | __integrationtime = None | |
| 1757 |
|
1760 | |||
| 1758 | __buffer = None |
|
1761 | __buffer = None | |
| 1759 |
|
1762 | |||
| 1760 | __dataReady = False |
|
1763 | __dataReady = False | |
| 1761 |
|
1764 | |||
| 1762 | __firstdata = None |
|
1765 | __firstdata = None | |
| 1763 |
|
1766 | |||
| 1764 | n = None |
|
1767 | n = None | |
| 1765 |
|
1768 | |||
| 1766 | def __init__(self): |
|
1769 | def __init__(self): | |
| 1767 | Operation.__init__(self) |
|
1770 | Operation.__init__(self) | |
| 1768 |
|
1771 | |||
| 1769 | def __calculateCosDir(self, elev, azim): |
|
1772 | def __calculateCosDir(self, elev, azim): | |
| 1770 | zen = (90 - elev)*numpy.pi/180 |
|
1773 | zen = (90 - elev)*numpy.pi/180 | |
| 1771 | azim = azim*numpy.pi/180 |
|
1774 | azim = azim*numpy.pi/180 | |
| 1772 | cosDirX = numpy.sqrt((1-numpy.cos(zen)**2)/((1+numpy.tan(azim)**2))) |
|
1775 | cosDirX = numpy.sqrt((1-numpy.cos(zen)**2)/((1+numpy.tan(azim)**2))) | |
| 1773 | cosDirY = numpy.sqrt(1-numpy.cos(zen)**2-cosDirX**2) |
|
1776 | cosDirY = numpy.sqrt(1-numpy.cos(zen)**2-cosDirX**2) | |
| 1774 |
|
1777 | |||
| 1775 | signX = numpy.sign(numpy.cos(azim)) |
|
1778 | signX = numpy.sign(numpy.cos(azim)) | |
| 1776 | signY = numpy.sign(numpy.sin(azim)) |
|
1779 | signY = numpy.sign(numpy.sin(azim)) | |
| 1777 |
|
1780 | |||
| 1778 | cosDirX = numpy.copysign(cosDirX, signX) |
|
1781 | cosDirX = numpy.copysign(cosDirX, signX) | |
| 1779 | cosDirY = numpy.copysign(cosDirY, signY) |
|
1782 | cosDirY = numpy.copysign(cosDirY, signY) | |
| 1780 | return cosDirX, cosDirY |
|
1783 | return cosDirX, cosDirY | |
| 1781 |
|
1784 | |||
| 1782 | def __calculateAngles(self, theta_x, theta_y, azimuth): |
|
1785 | def __calculateAngles(self, theta_x, theta_y, azimuth): | |
| 1783 |
|
1786 | |||
| 1784 | dir_cosw = numpy.sqrt(1-theta_x**2-theta_y**2) |
|
1787 | dir_cosw = numpy.sqrt(1-theta_x**2-theta_y**2) | |
| 1785 | zenith_arr = numpy.arccos(dir_cosw) |
|
1788 | zenith_arr = numpy.arccos(dir_cosw) | |
| 1786 | azimuth_arr = numpy.arctan2(theta_x,theta_y) + azimuth*math.pi/180 |
|
1789 | azimuth_arr = numpy.arctan2(theta_x,theta_y) + azimuth*math.pi/180 | |
| 1787 |
|
1790 | |||
| 1788 | dir_cosu = numpy.sin(azimuth_arr)*numpy.sin(zenith_arr) |
|
1791 | dir_cosu = numpy.sin(azimuth_arr)*numpy.sin(zenith_arr) | |
| 1789 | dir_cosv = numpy.cos(azimuth_arr)*numpy.sin(zenith_arr) |
|
1792 | dir_cosv = numpy.cos(azimuth_arr)*numpy.sin(zenith_arr) | |
| 1790 |
|
1793 | |||
| 1791 | return azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw |
|
1794 | return azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw | |
| 1792 |
|
1795 | |||
| 1793 | def __calculateMatA(self, dir_cosu, dir_cosv, dir_cosw, horOnly): |
|
1796 | def __calculateMatA(self, dir_cosu, dir_cosv, dir_cosw, horOnly): | |
| 1794 |
|
1797 | |||
| 1795 | # |
|
1798 | # | |
| 1796 | if horOnly: |
|
1799 | if horOnly: | |
| 1797 | A = numpy.c_[dir_cosu,dir_cosv] |
|
1800 | A = numpy.c_[dir_cosu,dir_cosv] | |
| 1798 | else: |
|
1801 | else: | |
| 1799 | A = numpy.c_[dir_cosu,dir_cosv,dir_cosw] |
|
1802 | A = numpy.c_[dir_cosu,dir_cosv,dir_cosw] | |
| 1800 | A = numpy.asmatrix(A) |
|
1803 | A = numpy.asmatrix(A) | |
| 1801 | A1 = numpy.linalg.inv(A.transpose()*A)*A.transpose() |
|
1804 | A1 = numpy.linalg.inv(A.transpose()*A)*A.transpose() | |
| 1802 |
|
1805 | |||
| 1803 | return A1 |
|
1806 | return A1 | |
| 1804 |
|
1807 | |||
| 1805 | def __correctValues(self, heiRang, phi, velRadial, SNR): |
|
1808 | def __correctValues(self, heiRang, phi, velRadial, SNR): | |
| 1806 | listPhi = phi.tolist() |
|
1809 | listPhi = phi.tolist() | |
| 1807 | maxid = listPhi.index(max(listPhi)) |
|
1810 | maxid = listPhi.index(max(listPhi)) | |
| 1808 | minid = listPhi.index(min(listPhi)) |
|
1811 | minid = listPhi.index(min(listPhi)) | |
| 1809 |
|
1812 | |||
| 1810 | rango = range(len(phi)) |
|
1813 | rango = range(len(phi)) | |
| 1811 | # rango = numpy.delete(rango,maxid) |
|
1814 | # rango = numpy.delete(rango,maxid) | |
| 1812 |
|
1815 | |||
| 1813 | heiRang1 = heiRang*math.cos(phi[maxid]) |
|
1816 | heiRang1 = heiRang*math.cos(phi[maxid]) | |
| 1814 | heiRangAux = heiRang*math.cos(phi[minid]) |
|
1817 | heiRangAux = heiRang*math.cos(phi[minid]) | |
| 1815 | indOut = (heiRang1 < heiRangAux[0]).nonzero() |
|
1818 | indOut = (heiRang1 < heiRangAux[0]).nonzero() | |
| 1816 | heiRang1 = numpy.delete(heiRang1,indOut) |
|
1819 | heiRang1 = numpy.delete(heiRang1,indOut) | |
| 1817 |
|
1820 | |||
| 1818 | velRadial1 = numpy.zeros([len(phi),len(heiRang1)]) |
|
1821 | velRadial1 = numpy.zeros([len(phi),len(heiRang1)]) | |
| 1819 | SNR1 = numpy.zeros([len(phi),len(heiRang1)]) |
|
1822 | SNR1 = numpy.zeros([len(phi),len(heiRang1)]) | |
| 1820 |
|
1823 | |||
| 1821 | for i in rango: |
|
1824 | for i in rango: | |
| 1822 | x = heiRang*math.cos(phi[i]) |
|
1825 | x = heiRang*math.cos(phi[i]) | |
| 1823 | y1 = velRadial[i,:] |
|
1826 | y1 = velRadial[i,:] | |
| 1824 | f1 = interpolate.interp1d(x,y1,kind = 'cubic') |
|
1827 | f1 = interpolate.interp1d(x,y1,kind = 'cubic') | |
| 1825 |
|
1828 | |||
| 1826 | x1 = heiRang1 |
|
1829 | x1 = heiRang1 | |
| 1827 | y11 = f1(x1) |
|
1830 | y11 = f1(x1) | |
| 1828 |
|
1831 | |||
| 1829 | y2 = SNR[i,:] |
|
1832 | y2 = SNR[i,:] | |
| 1830 | f2 = interpolate.interp1d(x,y2,kind = 'cubic') |
|
1833 | f2 = interpolate.interp1d(x,y2,kind = 'cubic') | |
| 1831 | y21 = f2(x1) |
|
1834 | y21 = f2(x1) | |
| 1832 |
|
1835 | |||
| 1833 | velRadial1[i,:] = y11 |
|
1836 | velRadial1[i,:] = y11 | |
| 1834 | SNR1[i,:] = y21 |
|
1837 | SNR1[i,:] = y21 | |
| 1835 |
|
1838 | |||
| 1836 | return heiRang1, velRadial1, SNR1 |
|
1839 | return heiRang1, velRadial1, SNR1 | |
| 1837 |
|
1840 | |||
| 1838 | def __calculateVelUVW(self, A, velRadial): |
|
1841 | def __calculateVelUVW(self, A, velRadial): | |
| 1839 |
|
1842 | |||
| 1840 | #Operacion Matricial |
|
1843 | #Operacion Matricial | |
| 1841 | # velUVW = numpy.zeros((velRadial.shape[1],3)) |
|
1844 | # velUVW = numpy.zeros((velRadial.shape[1],3)) | |
| 1842 | # for ind in range(velRadial.shape[1]): |
|
1845 | # for ind in range(velRadial.shape[1]): | |
| 1843 | # velUVW[ind,:] = numpy.dot(A,velRadial[:,ind]) |
|
1846 | # velUVW[ind,:] = numpy.dot(A,velRadial[:,ind]) | |
| 1844 | # velUVW = velUVW.transpose() |
|
1847 | # velUVW = velUVW.transpose() | |
| 1845 | velUVW = numpy.zeros((A.shape[0],velRadial.shape[1])) |
|
1848 | velUVW = numpy.zeros((A.shape[0],velRadial.shape[1])) | |
| 1846 | velUVW[:,:] = numpy.dot(A,velRadial) |
|
1849 | velUVW[:,:] = numpy.dot(A,velRadial) | |
| 1847 |
|
1850 | |||
| 1848 |
|
1851 | |||
| 1849 | return velUVW |
|
1852 | return velUVW | |
| 1850 |
|
1853 | |||
| 1851 | # def techniqueDBS(self, velRadial0, dirCosx, disrCosy, azimuth, correct, horizontalOnly, heiRang, SNR0): |
|
1854 | # def techniqueDBS(self, velRadial0, dirCosx, disrCosy, azimuth, correct, horizontalOnly, heiRang, SNR0): | |
| 1852 |
|
1855 | |||
| 1853 | def techniqueDBS(self, kwargs): |
|
1856 | def techniqueDBS(self, kwargs): | |
| 1854 | """ |
|
1857 | """ | |
| 1855 | Function that implements Doppler Beam Swinging (DBS) technique. |
|
1858 | Function that implements Doppler Beam Swinging (DBS) technique. | |
| 1856 |
|
1859 | |||
| 1857 | Input: Radial velocities, Direction cosines (x and y) of the Beam, Antenna azimuth, |
|
1860 | Input: Radial velocities, Direction cosines (x and y) of the Beam, Antenna azimuth, | |
| 1858 | Direction correction (if necessary), Ranges and SNR |
|
1861 | Direction correction (if necessary), Ranges and SNR | |
| 1859 |
|
1862 | |||
| 1860 | Output: Winds estimation (Zonal, Meridional and Vertical) |
|
1863 | Output: Winds estimation (Zonal, Meridional and Vertical) | |
| 1861 |
|
1864 | |||
| 1862 | Parameters affected: Winds, height range, SNR |
|
1865 | Parameters affected: Winds, height range, SNR | |
| 1863 | """ |
|
1866 | """ | |
| 1864 | velRadial0 = kwargs['velRadial'] |
|
1867 | velRadial0 = kwargs['velRadial'] | |
| 1865 | heiRang = kwargs['heightList'] |
|
1868 | heiRang = kwargs['heightList'] | |
| 1866 | SNR0 = kwargs['SNR'] |
|
1869 | SNR0 = kwargs['SNR'] | |
| 1867 |
|
1870 | |||
| 1868 | if kwargs.has_key('dirCosx') and kwargs.has_key('dirCosy'): |
|
1871 | if kwargs.has_key('dirCosx') and kwargs.has_key('dirCosy'): | |
| 1869 | theta_x = numpy.array(kwargs['dirCosx']) |
|
1872 | theta_x = numpy.array(kwargs['dirCosx']) | |
| 1870 | theta_y = numpy.array(kwargs['dirCosy']) |
|
1873 | theta_y = numpy.array(kwargs['dirCosy']) | |
| 1871 | else: |
|
1874 | else: | |
| 1872 | elev = numpy.array(kwargs['elevation']) |
|
1875 | elev = numpy.array(kwargs['elevation']) | |
| 1873 | azim = numpy.array(kwargs['azimuth']) |
|
1876 | azim = numpy.array(kwargs['azimuth']) | |
| 1874 | theta_x, theta_y = self.__calculateCosDir(elev, azim) |
|
1877 | theta_x, theta_y = self.__calculateCosDir(elev, azim) | |
| 1875 | azimuth = kwargs['correctAzimuth'] |
|
1878 | azimuth = kwargs['correctAzimuth'] | |
| 1876 | if kwargs.has_key('horizontalOnly'): |
|
1879 | if kwargs.has_key('horizontalOnly'): | |
| 1877 | horizontalOnly = kwargs['horizontalOnly'] |
|
1880 | horizontalOnly = kwargs['horizontalOnly'] | |
| 1878 | else: horizontalOnly = False |
|
1881 | else: horizontalOnly = False | |
| 1879 | if kwargs.has_key('correctFactor'): |
|
1882 | if kwargs.has_key('correctFactor'): | |
| 1880 | correctFactor = kwargs['correctFactor'] |
|
1883 | correctFactor = kwargs['correctFactor'] | |
| 1881 | else: correctFactor = 1 |
|
1884 | else: correctFactor = 1 | |
| 1882 | if kwargs.has_key('channelList'): |
|
1885 | if kwargs.has_key('channelList'): | |
| 1883 | channelList = kwargs['channelList'] |
|
1886 | channelList = kwargs['channelList'] | |
| 1884 | if len(channelList) == 2: |
|
1887 | if len(channelList) == 2: | |
| 1885 | horizontalOnly = True |
|
1888 | horizontalOnly = True | |
| 1886 | arrayChannel = numpy.array(channelList) |
|
1889 | arrayChannel = numpy.array(channelList) | |
| 1887 | param = param[arrayChannel,:,:] |
|
1890 | param = param[arrayChannel,:,:] | |
| 1888 | theta_x = theta_x[arrayChannel] |
|
1891 | theta_x = theta_x[arrayChannel] | |
| 1889 | theta_y = theta_y[arrayChannel] |
|
1892 | theta_y = theta_y[arrayChannel] | |
| 1890 |
|
1893 | |||
| 1891 | azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw = self.__calculateAngles(theta_x, theta_y, azimuth) |
|
1894 | azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw = self.__calculateAngles(theta_x, theta_y, azimuth) | |
| 1892 | heiRang1, velRadial1, SNR1 = self.__correctValues(heiRang, zenith_arr, correctFactor*velRadial0, SNR0) |
|
1895 | heiRang1, velRadial1, SNR1 = self.__correctValues(heiRang, zenith_arr, correctFactor*velRadial0, SNR0) | |
| 1893 | A = self.__calculateMatA(dir_cosu, dir_cosv, dir_cosw, horizontalOnly) |
|
1896 | A = self.__calculateMatA(dir_cosu, dir_cosv, dir_cosw, horizontalOnly) | |
| 1894 |
|
1897 | |||
| 1895 | #Calculo de Componentes de la velocidad con DBS |
|
1898 | #Calculo de Componentes de la velocidad con DBS | |
| 1896 | winds = self.__calculateVelUVW(A,velRadial1) |
|
1899 | winds = self.__calculateVelUVW(A,velRadial1) | |
| 1897 |
|
1900 | |||
| 1898 | return winds, heiRang1, SNR1 |
|
1901 | return winds, heiRang1, SNR1 | |
| 1899 |
|
1902 | |||
| 1900 | def __calculateDistance(self, posx, posy, pairs_ccf, azimuth = None): |
|
1903 | def __calculateDistance(self, posx, posy, pairs_ccf, azimuth = None): | |
| 1901 |
|
1904 | |||
| 1902 | nPairs = len(pairs_ccf) |
|
1905 | nPairs = len(pairs_ccf) | |
| 1903 | posx = numpy.asarray(posx) |
|
1906 | posx = numpy.asarray(posx) | |
| 1904 | posy = numpy.asarray(posy) |
|
1907 | posy = numpy.asarray(posy) | |
| 1905 |
|
1908 | |||
| 1906 | #Rotacion Inversa para alinear con el azimuth |
|
1909 | #Rotacion Inversa para alinear con el azimuth | |
| 1907 | if azimuth!= None: |
|
1910 | if azimuth!= None: | |
| 1908 | azimuth = azimuth*math.pi/180 |
|
1911 | azimuth = azimuth*math.pi/180 | |
| 1909 | posx1 = posx*math.cos(azimuth) + posy*math.sin(azimuth) |
|
1912 | posx1 = posx*math.cos(azimuth) + posy*math.sin(azimuth) | |
| 1910 | posy1 = -posx*math.sin(azimuth) + posy*math.cos(azimuth) |
|
1913 | posy1 = -posx*math.sin(azimuth) + posy*math.cos(azimuth) | |
| 1911 | else: |
|
1914 | else: | |
| 1912 | posx1 = posx |
|
1915 | posx1 = posx | |
| 1913 | posy1 = posy |
|
1916 | posy1 = posy | |
| 1914 |
|
1917 | |||
| 1915 | #Calculo de Distancias |
|
1918 | #Calculo de Distancias | |
| 1916 | distx = numpy.zeros(nPairs) |
|
1919 | distx = numpy.zeros(nPairs) | |
| 1917 | disty = numpy.zeros(nPairs) |
|
1920 | disty = numpy.zeros(nPairs) | |
| 1918 | dist = numpy.zeros(nPairs) |
|
1921 | dist = numpy.zeros(nPairs) | |
| 1919 | ang = numpy.zeros(nPairs) |
|
1922 | ang = numpy.zeros(nPairs) | |
| 1920 |
|
1923 | |||
| 1921 | for i in range(nPairs): |
|
1924 | for i in range(nPairs): | |
| 1922 | distx[i] = posx1[pairs_ccf[i][1]] - posx1[pairs_ccf[i][0]] |
|
1925 | distx[i] = posx1[pairs_ccf[i][1]] - posx1[pairs_ccf[i][0]] | |
| 1923 | disty[i] = posy1[pairs_ccf[i][1]] - posy1[pairs_ccf[i][0]] |
|
1926 | disty[i] = posy1[pairs_ccf[i][1]] - posy1[pairs_ccf[i][0]] | |
| 1924 | dist[i] = numpy.sqrt(distx[i]**2 + disty[i]**2) |
|
1927 | dist[i] = numpy.sqrt(distx[i]**2 + disty[i]**2) | |
| 1925 | ang[i] = numpy.arctan2(disty[i],distx[i]) |
|
1928 | ang[i] = numpy.arctan2(disty[i],distx[i]) | |
| 1926 |
|
1929 | |||
| 1927 | return distx, disty, dist, ang |
|
1930 | return distx, disty, dist, ang | |
| 1928 | #Calculo de Matrices |
|
1931 | #Calculo de Matrices | |
| 1929 | # nPairs = len(pairs) |
|
1932 | # nPairs = len(pairs) | |
| 1930 | # ang1 = numpy.zeros((nPairs, 2, 1)) |
|
1933 | # ang1 = numpy.zeros((nPairs, 2, 1)) | |
| 1931 | # dist1 = numpy.zeros((nPairs, 2, 1)) |
|
1934 | # dist1 = numpy.zeros((nPairs, 2, 1)) | |
| 1932 | # |
|
1935 | # | |
| 1933 | # for j in range(nPairs): |
|
1936 | # for j in range(nPairs): | |
| 1934 | # dist1[j,0,0] = dist[pairs[j][0]] |
|
1937 | # dist1[j,0,0] = dist[pairs[j][0]] | |
| 1935 | # dist1[j,1,0] = dist[pairs[j][1]] |
|
1938 | # dist1[j,1,0] = dist[pairs[j][1]] | |
| 1936 | # ang1[j,0,0] = ang[pairs[j][0]] |
|
1939 | # ang1[j,0,0] = ang[pairs[j][0]] | |
| 1937 | # ang1[j,1,0] = ang[pairs[j][1]] |
|
1940 | # ang1[j,1,0] = ang[pairs[j][1]] | |
| 1938 | # |
|
1941 | # | |
| 1939 | # return distx,disty, dist1,ang1 |
|
1942 | # return distx,disty, dist1,ang1 | |
| 1940 |
|
1943 | |||
| 1941 |
|
1944 | |||
| 1942 | def __calculateVelVer(self, phase, lagTRange, _lambda): |
|
1945 | def __calculateVelVer(self, phase, lagTRange, _lambda): | |
| 1943 |
|
1946 | |||
| 1944 | Ts = lagTRange[1] - lagTRange[0] |
|
1947 | Ts = lagTRange[1] - lagTRange[0] | |
| 1945 | velW = -_lambda*phase/(4*math.pi*Ts) |
|
1948 | velW = -_lambda*phase/(4*math.pi*Ts) | |
| 1946 |
|
1949 | |||
| 1947 | return velW |
|
1950 | return velW | |
| 1948 |
|
1951 | |||
| 1949 | def __calculateVelHorDir(self, dist, tau1, tau2, ang): |
|
1952 | def __calculateVelHorDir(self, dist, tau1, tau2, ang): | |
| 1950 | nPairs = tau1.shape[0] |
|
1953 | nPairs = tau1.shape[0] | |
| 1951 | nHeights = tau1.shape[1] |
|
1954 | nHeights = tau1.shape[1] | |
| 1952 | vel = numpy.zeros((nPairs,3,nHeights)) |
|
1955 | vel = numpy.zeros((nPairs,3,nHeights)) | |
| 1953 | dist1 = numpy.reshape(dist, (dist.size,1)) |
|
1956 | dist1 = numpy.reshape(dist, (dist.size,1)) | |
| 1954 |
|
1957 | |||
| 1955 | angCos = numpy.cos(ang) |
|
1958 | angCos = numpy.cos(ang) | |
| 1956 | angSin = numpy.sin(ang) |
|
1959 | angSin = numpy.sin(ang) | |
| 1957 |
|
1960 | |||
| 1958 | vel0 = dist1*tau1/(2*tau2**2) |
|
1961 | vel0 = dist1*tau1/(2*tau2**2) | |
| 1959 | vel[:,0,:] = (vel0*angCos).sum(axis = 1) |
|
1962 | vel[:,0,:] = (vel0*angCos).sum(axis = 1) | |
| 1960 | vel[:,1,:] = (vel0*angSin).sum(axis = 1) |
|
1963 | vel[:,1,:] = (vel0*angSin).sum(axis = 1) | |
| 1961 |
|
1964 | |||
| 1962 | ind = numpy.where(numpy.isinf(vel)) |
|
1965 | ind = numpy.where(numpy.isinf(vel)) | |
| 1963 | vel[ind] = numpy.nan |
|
1966 | vel[ind] = numpy.nan | |
| 1964 |
|
1967 | |||
| 1965 | return vel |
|
1968 | return vel | |
| 1966 |
|
1969 | |||
| 1967 | # def __getPairsAutoCorr(self, pairsList, nChannels): |
|
1970 | # def __getPairsAutoCorr(self, pairsList, nChannels): | |
| 1968 | # |
|
1971 | # | |
| 1969 | # pairsAutoCorr = numpy.zeros(nChannels, dtype = 'int')*numpy.nan |
|
1972 | # pairsAutoCorr = numpy.zeros(nChannels, dtype = 'int')*numpy.nan | |
| 1970 | # |
|
1973 | # | |
| 1971 | # for l in range(len(pairsList)): |
|
1974 | # for l in range(len(pairsList)): | |
| 1972 | # firstChannel = pairsList[l][0] |
|
1975 | # firstChannel = pairsList[l][0] | |
| 1973 | # secondChannel = pairsList[l][1] |
|
1976 | # secondChannel = pairsList[l][1] | |
| 1974 | # |
|
1977 | # | |
| 1975 | # #Obteniendo pares de Autocorrelacion |
|
1978 | # #Obteniendo pares de Autocorrelacion | |
| 1976 | # if firstChannel == secondChannel: |
|
1979 | # if firstChannel == secondChannel: | |
| 1977 | # pairsAutoCorr[firstChannel] = int(l) |
|
1980 | # pairsAutoCorr[firstChannel] = int(l) | |
| 1978 | # |
|
1981 | # | |
| 1979 | # pairsAutoCorr = pairsAutoCorr.astype(int) |
|
1982 | # pairsAutoCorr = pairsAutoCorr.astype(int) | |
| 1980 | # |
|
1983 | # | |
| 1981 | # pairsCrossCorr = range(len(pairsList)) |
|
1984 | # pairsCrossCorr = range(len(pairsList)) | |
| 1982 | # pairsCrossCorr = numpy.delete(pairsCrossCorr,pairsAutoCorr) |
|
1985 | # pairsCrossCorr = numpy.delete(pairsCrossCorr,pairsAutoCorr) | |
| 1983 | # |
|
1986 | # | |
| 1984 | # return pairsAutoCorr, pairsCrossCorr |
|
1987 | # return pairsAutoCorr, pairsCrossCorr | |
| 1985 |
|
1988 | |||
| 1986 | # def techniqueSA(self, pairsSelected, pairsList, nChannels, tau, azimuth, _lambda, position_x, position_y, lagTRange, correctFactor): |
|
1989 | # def techniqueSA(self, pairsSelected, pairsList, nChannels, tau, azimuth, _lambda, position_x, position_y, lagTRange, correctFactor): | |
| 1987 | def techniqueSA(self, kwargs): |
|
1990 | def techniqueSA(self, kwargs): | |
| 1988 |
|
1991 | |||
| 1989 | """ |
|
1992 | """ | |
| 1990 | Function that implements Spaced Antenna (SA) technique. |
|
1993 | Function that implements Spaced Antenna (SA) technique. | |
| 1991 |
|
1994 | |||
| 1992 | Input: Radial velocities, Direction cosines (x and y) of the Beam, Antenna azimuth, |
|
1995 | Input: Radial velocities, Direction cosines (x and y) of the Beam, Antenna azimuth, | |
| 1993 | Direction correction (if necessary), Ranges and SNR |
|
1996 | Direction correction (if necessary), Ranges and SNR | |
| 1994 |
|
1997 | |||
| 1995 | Output: Winds estimation (Zonal, Meridional and Vertical) |
|
1998 | Output: Winds estimation (Zonal, Meridional and Vertical) | |
| 1996 |
|
1999 | |||
| 1997 | Parameters affected: Winds |
|
2000 | Parameters affected: Winds | |
| 1998 | """ |
|
2001 | """ | |
| 1999 | position_x = kwargs['positionX'] |
|
2002 | position_x = kwargs['positionX'] | |
| 2000 | position_y = kwargs['positionY'] |
|
2003 | position_y = kwargs['positionY'] | |
| 2001 | azimuth = kwargs['azimuth'] |
|
2004 | azimuth = kwargs['azimuth'] | |
| 2002 |
|
2005 | |||
| 2003 | if kwargs.has_key('correctFactor'): |
|
2006 | if kwargs.has_key('correctFactor'): | |
| 2004 | correctFactor = kwargs['correctFactor'] |
|
2007 | correctFactor = kwargs['correctFactor'] | |
| 2005 | else: |
|
2008 | else: | |
| 2006 | correctFactor = 1 |
|
2009 | correctFactor = 1 | |
| 2007 |
|
2010 | |||
| 2008 | groupList = kwargs['groupList'] |
|
2011 | groupList = kwargs['groupList'] | |
| 2009 | pairs_ccf = groupList[1] |
|
2012 | pairs_ccf = groupList[1] | |
| 2010 | tau = kwargs['tau'] |
|
2013 | tau = kwargs['tau'] | |
| 2011 | _lambda = kwargs['_lambda'] |
|
2014 | _lambda = kwargs['_lambda'] | |
| 2012 |
|
2015 | |||
| 2013 | #Cross Correlation pairs obtained |
|
2016 | #Cross Correlation pairs obtained | |
| 2014 | # pairsAutoCorr, pairsCrossCorr = self.__getPairsAutoCorr(pairssList, nChannels) |
|
2017 | # pairsAutoCorr, pairsCrossCorr = self.__getPairsAutoCorr(pairssList, nChannels) | |
| 2015 | # pairsArray = numpy.array(pairsList)[pairsCrossCorr] |
|
2018 | # pairsArray = numpy.array(pairsList)[pairsCrossCorr] | |
| 2016 | # pairsSelArray = numpy.array(pairsSelected) |
|
2019 | # pairsSelArray = numpy.array(pairsSelected) | |
| 2017 | # pairs = [] |
|
2020 | # pairs = [] | |
| 2018 | # |
|
2021 | # | |
| 2019 | # #Wind estimation pairs obtained |
|
2022 | # #Wind estimation pairs obtained | |
| 2020 | # for i in range(pairsSelArray.shape[0]/2): |
|
2023 | # for i in range(pairsSelArray.shape[0]/2): | |
| 2021 | # ind1 = numpy.where(numpy.all(pairsArray == pairsSelArray[2*i], axis = 1))[0][0] |
|
2024 | # ind1 = numpy.where(numpy.all(pairsArray == pairsSelArray[2*i], axis = 1))[0][0] | |
| 2022 | # ind2 = numpy.where(numpy.all(pairsArray == pairsSelArray[2*i + 1], axis = 1))[0][0] |
|
2025 | # ind2 = numpy.where(numpy.all(pairsArray == pairsSelArray[2*i + 1], axis = 1))[0][0] | |
| 2023 | # pairs.append((ind1,ind2)) |
|
2026 | # pairs.append((ind1,ind2)) | |
| 2024 |
|
2027 | |||
| 2025 | indtau = tau.shape[0]/2 |
|
2028 | indtau = tau.shape[0]/2 | |
| 2026 | tau1 = tau[:indtau,:] |
|
2029 | tau1 = tau[:indtau,:] | |
| 2027 | tau2 = tau[indtau:-1,:] |
|
2030 | tau2 = tau[indtau:-1,:] | |
| 2028 | # tau1 = tau1[pairs,:] |
|
2031 | # tau1 = tau1[pairs,:] | |
| 2029 | # tau2 = tau2[pairs,:] |
|
2032 | # tau2 = tau2[pairs,:] | |
| 2030 | phase1 = tau[-1,:] |
|
2033 | phase1 = tau[-1,:] | |
| 2031 |
|
2034 | |||
| 2032 | #--------------------------------------------------------------------- |
|
2035 | #--------------------------------------------------------------------- | |
| 2033 | #Metodo Directo |
|
2036 | #Metodo Directo | |
| 2034 | distx, disty, dist, ang = self.__calculateDistance(position_x, position_y, pairs_ccf,azimuth) |
|
2037 | distx, disty, dist, ang = self.__calculateDistance(position_x, position_y, pairs_ccf,azimuth) | |
| 2035 | winds = self.__calculateVelHorDir(dist, tau1, tau2, ang) |
|
2038 | winds = self.__calculateVelHorDir(dist, tau1, tau2, ang) | |
| 2036 | winds = stats.nanmean(winds, axis=0) |
|
2039 | winds = stats.nanmean(winds, axis=0) | |
| 2037 | #--------------------------------------------------------------------- |
|
2040 | #--------------------------------------------------------------------- | |
| 2038 | #Metodo General |
|
2041 | #Metodo General | |
| 2039 | # distx, disty, dist = self.calculateDistance(position_x,position_y,pairsCrossCorr, pairsList, azimuth) |
|
2042 | # distx, disty, dist = self.calculateDistance(position_x,position_y,pairsCrossCorr, pairsList, azimuth) | |
| 2040 | # #Calculo Coeficientes de Funcion de Correlacion |
|
2043 | # #Calculo Coeficientes de Funcion de Correlacion | |
| 2041 | # F,G,A,B,H = self.calculateCoef(tau1,tau2,distx,disty,n) |
|
2044 | # F,G,A,B,H = self.calculateCoef(tau1,tau2,distx,disty,n) | |
| 2042 | # #Calculo de Velocidades |
|
2045 | # #Calculo de Velocidades | |
| 2043 | # winds = self.calculateVelUV(F,G,A,B,H) |
|
2046 | # winds = self.calculateVelUV(F,G,A,B,H) | |
| 2044 |
|
2047 | |||
| 2045 | #--------------------------------------------------------------------- |
|
2048 | #--------------------------------------------------------------------- | |
| 2046 | winds[2,:] = self.__calculateVelVer(phase1, lagTRange, _lambda) |
|
2049 | winds[2,:] = self.__calculateVelVer(phase1, lagTRange, _lambda) | |
| 2047 | winds = correctFactor*winds |
|
2050 | winds = correctFactor*winds | |
| 2048 | return winds |
|
2051 | return winds | |
| 2049 |
|
2052 | |||
| 2050 | def __checkTime(self, currentTime, paramInterval, outputInterval): |
|
2053 | def __checkTime(self, currentTime, paramInterval, outputInterval): | |
| 2051 |
|
2054 | |||
| 2052 | dataTime = currentTime + paramInterval |
|
2055 | dataTime = currentTime + paramInterval | |
| 2053 | deltaTime = dataTime - self.__initime |
|
2056 | deltaTime = dataTime - self.__initime | |
| 2054 |
|
2057 | |||
| 2055 | if deltaTime >= outputInterval or deltaTime < 0: |
|
2058 | if deltaTime >= outputInterval or deltaTime < 0: | |
| 2056 | self.__dataReady = True |
|
2059 | self.__dataReady = True | |
| 2057 | return |
|
2060 | return | |
| 2058 |
|
2061 | |||
| 2059 | def techniqueMeteors(self, arrayMeteor, meteorThresh, heightMin, heightMax): |
|
2062 | def techniqueMeteors(self, arrayMeteor, meteorThresh, heightMin, heightMax): | |
| 2060 | ''' |
|
2063 | ''' | |
| 2061 | Function that implements winds estimation technique with detected meteors. |
|
2064 | Function that implements winds estimation technique with detected meteors. | |
| 2062 |
|
2065 | |||
| 2063 | Input: Detected meteors, Minimum meteor quantity to wind estimation |
|
2066 | Input: Detected meteors, Minimum meteor quantity to wind estimation | |
| 2064 |
|
2067 | |||
| 2065 | Output: Winds estimation (Zonal and Meridional) |
|
2068 | Output: Winds estimation (Zonal and Meridional) | |
| 2066 |
|
2069 | |||
| 2067 | Parameters affected: Winds |
|
2070 | Parameters affected: Winds | |
| 2068 | ''' |
|
2071 | ''' | |
| 2069 | # print arrayMeteor.shape |
|
2072 | # print arrayMeteor.shape | |
| 2070 | #Settings |
|
2073 | #Settings | |
| 2071 | nInt = (heightMax - heightMin)/2 |
|
2074 | nInt = (heightMax - heightMin)/2 | |
| 2072 | # print nInt |
|
2075 | # print nInt | |
| 2073 | nInt = int(nInt) |
|
2076 | nInt = int(nInt) | |
| 2074 | # print nInt |
|
2077 | # print nInt | |
| 2075 | winds = numpy.zeros((2,nInt))*numpy.nan |
|
2078 | winds = numpy.zeros((2,nInt))*numpy.nan | |
| 2076 |
|
2079 | |||
| 2077 | #Filter errors |
|
2080 | #Filter errors | |
| 2078 | error = numpy.where(arrayMeteor[:,-1] == 0)[0] |
|
2081 | error = numpy.where(arrayMeteor[:,-1] == 0)[0] | |
| 2079 | finalMeteor = arrayMeteor[error,:] |
|
2082 | finalMeteor = arrayMeteor[error,:] | |
| 2080 |
|
2083 | |||
| 2081 | #Meteor Histogram |
|
2084 | #Meteor Histogram | |
| 2082 | finalHeights = finalMeteor[:,2] |
|
2085 | finalHeights = finalMeteor[:,2] | |
| 2083 | hist = numpy.histogram(finalHeights, bins = nInt, range = (heightMin,heightMax)) |
|
2086 | hist = numpy.histogram(finalHeights, bins = nInt, range = (heightMin,heightMax)) | |
| 2084 | nMeteorsPerI = hist[0] |
|
2087 | nMeteorsPerI = hist[0] | |
| 2085 | heightPerI = hist[1] |
|
2088 | heightPerI = hist[1] | |
| 2086 |
|
2089 | |||
| 2087 | #Sort of meteors |
|
2090 | #Sort of meteors | |
| 2088 | indSort = finalHeights.argsort() |
|
2091 | indSort = finalHeights.argsort() | |
| 2089 | finalMeteor2 = finalMeteor[indSort,:] |
|
2092 | finalMeteor2 = finalMeteor[indSort,:] | |
| 2090 |
|
2093 | |||
| 2091 | # Calculating winds |
|
2094 | # Calculating winds | |
| 2092 | ind1 = 0 |
|
2095 | ind1 = 0 | |
| 2093 | ind2 = 0 |
|
2096 | ind2 = 0 | |
| 2094 |
|
2097 | |||
| 2095 | for i in range(nInt): |
|
2098 | for i in range(nInt): | |
| 2096 | nMet = nMeteorsPerI[i] |
|
2099 | nMet = nMeteorsPerI[i] | |
| 2097 | ind1 = ind2 |
|
2100 | ind1 = ind2 | |
| 2098 | ind2 = ind1 + nMet |
|
2101 | ind2 = ind1 + nMet | |
| 2099 |
|
2102 | |||
| 2100 | meteorAux = finalMeteor2[ind1:ind2,:] |
|
2103 | meteorAux = finalMeteor2[ind1:ind2,:] | |
| 2101 |
|
2104 | |||
| 2102 | if meteorAux.shape[0] >= meteorThresh: |
|
2105 | if meteorAux.shape[0] >= meteorThresh: | |
| 2103 | vel = meteorAux[:, 6] |
|
2106 | vel = meteorAux[:, 6] | |
| 2104 | zen = meteorAux[:, 4]*numpy.pi/180 |
|
2107 | zen = meteorAux[:, 4]*numpy.pi/180 | |
| 2105 | azim = meteorAux[:, 3]*numpy.pi/180 |
|
2108 | azim = meteorAux[:, 3]*numpy.pi/180 | |
| 2106 |
|
2109 | |||
| 2107 | n = numpy.cos(zen) |
|
2110 | n = numpy.cos(zen) | |
| 2108 | # m = (1 - n**2)/(1 - numpy.tan(azim)**2) |
|
2111 | # m = (1 - n**2)/(1 - numpy.tan(azim)**2) | |
| 2109 | # l = m*numpy.tan(azim) |
|
2112 | # l = m*numpy.tan(azim) | |
| 2110 | l = numpy.sin(zen)*numpy.sin(azim) |
|
2113 | l = numpy.sin(zen)*numpy.sin(azim) | |
| 2111 | m = numpy.sin(zen)*numpy.cos(azim) |
|
2114 | m = numpy.sin(zen)*numpy.cos(azim) | |
| 2112 |
|
2115 | |||
| 2113 | A = numpy.vstack((l, m)).transpose() |
|
2116 | A = numpy.vstack((l, m)).transpose() | |
| 2114 | A1 = numpy.dot(numpy.linalg.inv( numpy.dot(A.transpose(),A) ),A.transpose()) |
|
2117 | A1 = numpy.dot(numpy.linalg.inv( numpy.dot(A.transpose(),A) ),A.transpose()) | |
| 2115 | windsAux = numpy.dot(A1, vel) |
|
2118 | windsAux = numpy.dot(A1, vel) | |
| 2116 |
|
2119 | |||
| 2117 | winds[0,i] = windsAux[0] |
|
2120 | winds[0,i] = windsAux[0] | |
| 2118 | winds[1,i] = windsAux[1] |
|
2121 | winds[1,i] = windsAux[1] | |
| 2119 |
|
2122 | |||
| 2120 | return winds, heightPerI[:-1] |
|
2123 | return winds, heightPerI[:-1] | |
| 2121 |
|
2124 | |||
| 2122 | def techniqueNSM_SA(self, **kwargs): |
|
2125 | def techniqueNSM_SA(self, **kwargs): | |
| 2123 | metArray = kwargs['metArray'] |
|
2126 | metArray = kwargs['metArray'] | |
| 2124 | heightList = kwargs['heightList'] |
|
2127 | heightList = kwargs['heightList'] | |
| 2125 | timeList = kwargs['timeList'] |
|
2128 | timeList = kwargs['timeList'] | |
| 2126 |
|
2129 | |||
| 2127 | rx_location = kwargs['rx_location'] |
|
2130 | rx_location = kwargs['rx_location'] | |
| 2128 | groupList = kwargs['groupList'] |
|
2131 | groupList = kwargs['groupList'] | |
| 2129 | azimuth = kwargs['azimuth'] |
|
2132 | azimuth = kwargs['azimuth'] | |
| 2130 | dfactor = kwargs['dfactor'] |
|
2133 | dfactor = kwargs['dfactor'] | |
| 2131 | k = kwargs['k'] |
|
2134 | k = kwargs['k'] | |
| 2132 |
|
2135 | |||
| 2133 | azimuth1, dist = self.__calculateAzimuth1(rx_location, groupList, azimuth) |
|
2136 | azimuth1, dist = self.__calculateAzimuth1(rx_location, groupList, azimuth) | |
| 2134 | d = dist*dfactor |
|
2137 | d = dist*dfactor | |
| 2135 | #Phase calculation |
|
2138 | #Phase calculation | |
| 2136 | metArray1 = self.__getPhaseSlope(metArray, heightList, timeList) |
|
2139 | metArray1 = self.__getPhaseSlope(metArray, heightList, timeList) | |
| 2137 |
|
2140 | |||
| 2138 | metArray1[:,-2] = metArray1[:,-2]*metArray1[:,2]*1000/(k*d[metArray1[:,1].astype(int)]) #angles into velocities |
|
2141 | metArray1[:,-2] = metArray1[:,-2]*metArray1[:,2]*1000/(k*d[metArray1[:,1].astype(int)]) #angles into velocities | |
| 2139 |
|
2142 | |||
| 2140 | velEst = numpy.zeros((heightList.size,2))*numpy.nan |
|
2143 | velEst = numpy.zeros((heightList.size,2))*numpy.nan | |
| 2141 | azimuth1 = azimuth1*numpy.pi/180 |
|
2144 | azimuth1 = azimuth1*numpy.pi/180 | |
| 2142 |
|
2145 | |||
| 2143 | for i in range(heightList.size): |
|
2146 | for i in range(heightList.size): | |
| 2144 | h = heightList[i] |
|
2147 | h = heightList[i] | |
| 2145 | indH = numpy.where((metArray1[:,2] == h)&(numpy.abs(metArray1[:,-2]) < 100))[0] |
|
2148 | indH = numpy.where((metArray1[:,2] == h)&(numpy.abs(metArray1[:,-2]) < 100))[0] | |
| 2146 | metHeight = metArray1[indH,:] |
|
2149 | metHeight = metArray1[indH,:] | |
| 2147 | if metHeight.shape[0] >= 2: |
|
2150 | if metHeight.shape[0] >= 2: | |
| 2148 | velAux = numpy.asmatrix(metHeight[:,-2]).T #Radial Velocities |
|
2151 | velAux = numpy.asmatrix(metHeight[:,-2]).T #Radial Velocities | |
| 2149 | iazim = metHeight[:,1].astype(int) |
|
2152 | iazim = metHeight[:,1].astype(int) | |
| 2150 | azimAux = numpy.asmatrix(azimuth1[iazim]).T #Azimuths |
|
2153 | azimAux = numpy.asmatrix(azimuth1[iazim]).T #Azimuths | |
| 2151 | A = numpy.hstack((numpy.cos(azimAux),numpy.sin(azimAux))) |
|
2154 | A = numpy.hstack((numpy.cos(azimAux),numpy.sin(azimAux))) | |
| 2152 | A = numpy.asmatrix(A) |
|
2155 | A = numpy.asmatrix(A) | |
| 2153 | A1 = numpy.linalg.pinv(A.transpose()*A)*A.transpose() |
|
2156 | A1 = numpy.linalg.pinv(A.transpose()*A)*A.transpose() | |
| 2154 | velHor = numpy.dot(A1,velAux) |
|
2157 | velHor = numpy.dot(A1,velAux) | |
| 2155 |
|
2158 | |||
| 2156 | velEst[i,:] = numpy.squeeze(velHor) |
|
2159 | velEst[i,:] = numpy.squeeze(velHor) | |
| 2157 | return velEst |
|
2160 | return velEst | |
| 2158 |
|
2161 | |||
| 2159 | def __getPhaseSlope(self, metArray, heightList, timeList): |
|
2162 | def __getPhaseSlope(self, metArray, heightList, timeList): | |
| 2160 | meteorList = [] |
|
2163 | meteorList = [] | |
| 2161 | #utctime sec1 height SNR velRad ph0 ph1 ph2 coh0 coh1 coh2 |
|
2164 | #utctime sec1 height SNR velRad ph0 ph1 ph2 coh0 coh1 coh2 | |
| 2162 | #Putting back together the meteor matrix |
|
2165 | #Putting back together the meteor matrix | |
| 2163 | utctime = metArray[:,0] |
|
2166 | utctime = metArray[:,0] | |
| 2164 | uniqueTime = numpy.unique(utctime) |
|
2167 | uniqueTime = numpy.unique(utctime) | |
| 2165 |
|
2168 | |||
| 2166 | phaseDerThresh = 0.5 |
|
2169 | phaseDerThresh = 0.5 | |
| 2167 | ippSeconds = timeList[1] - timeList[0] |
|
2170 | ippSeconds = timeList[1] - timeList[0] | |
| 2168 | sec = numpy.where(timeList>1)[0][0] |
|
2171 | sec = numpy.where(timeList>1)[0][0] | |
| 2169 | nPairs = metArray.shape[1] - 6 |
|
2172 | nPairs = metArray.shape[1] - 6 | |
| 2170 | nHeights = len(heightList) |
|
2173 | nHeights = len(heightList) | |
| 2171 |
|
2174 | |||
| 2172 | for t in uniqueTime: |
|
2175 | for t in uniqueTime: | |
| 2173 | metArray1 = metArray[utctime==t,:] |
|
2176 | metArray1 = metArray[utctime==t,:] | |
| 2174 | # phaseDerThresh = numpy.pi/4 #reducir Phase thresh |
|
2177 | # phaseDerThresh = numpy.pi/4 #reducir Phase thresh | |
| 2175 | tmet = metArray1[:,1].astype(int) |
|
2178 | tmet = metArray1[:,1].astype(int) | |
| 2176 | hmet = metArray1[:,2].astype(int) |
|
2179 | hmet = metArray1[:,2].astype(int) | |
| 2177 |
|
2180 | |||
| 2178 | metPhase = numpy.zeros((nPairs, heightList.size, timeList.size - 1)) |
|
2181 | metPhase = numpy.zeros((nPairs, heightList.size, timeList.size - 1)) | |
| 2179 | metPhase[:,:] = numpy.nan |
|
2182 | metPhase[:,:] = numpy.nan | |
| 2180 | metPhase[:,hmet,tmet] = metArray1[:,6:].T |
|
2183 | metPhase[:,hmet,tmet] = metArray1[:,6:].T | |
| 2181 |
|
2184 | |||
| 2182 | #Delete short trails |
|
2185 | #Delete short trails | |
| 2183 | metBool = ~numpy.isnan(metPhase[0,:,:]) |
|
2186 | metBool = ~numpy.isnan(metPhase[0,:,:]) | |
| 2184 | heightVect = numpy.sum(metBool, axis = 1) |
|
2187 | heightVect = numpy.sum(metBool, axis = 1) | |
| 2185 | metBool[heightVect<sec,:] = False |
|
2188 | metBool[heightVect<sec,:] = False | |
| 2186 | metPhase[:,heightVect<sec,:] = numpy.nan |
|
2189 | metPhase[:,heightVect<sec,:] = numpy.nan | |
| 2187 |
|
2190 | |||
| 2188 | #Derivative |
|
2191 | #Derivative | |
| 2189 | metDer = numpy.abs(metPhase[:,:,1:] - metPhase[:,:,:-1]) |
|
2192 | metDer = numpy.abs(metPhase[:,:,1:] - metPhase[:,:,:-1]) | |
| 2190 | phDerAux = numpy.dstack((numpy.full((nPairs,nHeights,1), False, dtype=bool),metDer > phaseDerThresh)) |
|
2193 | phDerAux = numpy.dstack((numpy.full((nPairs,nHeights,1), False, dtype=bool),metDer > phaseDerThresh)) | |
| 2191 | metPhase[phDerAux] = numpy.nan |
|
2194 | metPhase[phDerAux] = numpy.nan | |
| 2192 |
|
2195 | |||
| 2193 | #--------------------------METEOR DETECTION ----------------------------------------- |
|
2196 | #--------------------------METEOR DETECTION ----------------------------------------- | |
| 2194 | indMet = numpy.where(numpy.any(metBool,axis=1))[0] |
|
2197 | indMet = numpy.where(numpy.any(metBool,axis=1))[0] | |
| 2195 |
|
2198 | |||
| 2196 | for p in numpy.arange(nPairs): |
|
2199 | for p in numpy.arange(nPairs): | |
| 2197 | phase = metPhase[p,:,:] |
|
2200 | phase = metPhase[p,:,:] | |
| 2198 | phDer = metDer[p,:,:] |
|
2201 | phDer = metDer[p,:,:] | |
| 2199 |
|
2202 | |||
| 2200 | for h in indMet: |
|
2203 | for h in indMet: | |
| 2201 | height = heightList[h] |
|
2204 | height = heightList[h] | |
| 2202 | phase1 = phase[h,:] #82 |
|
2205 | phase1 = phase[h,:] #82 | |
| 2203 | phDer1 = phDer[h,:] |
|
2206 | phDer1 = phDer[h,:] | |
| 2204 |
|
2207 | |||
| 2205 | phase1[~numpy.isnan(phase1)] = numpy.unwrap(phase1[~numpy.isnan(phase1)]) #Unwrap |
|
2208 | phase1[~numpy.isnan(phase1)] = numpy.unwrap(phase1[~numpy.isnan(phase1)]) #Unwrap | |
| 2206 |
|
2209 | |||
| 2207 | indValid = numpy.where(~numpy.isnan(phase1))[0] |
|
2210 | indValid = numpy.where(~numpy.isnan(phase1))[0] | |
| 2208 | initMet = indValid[0] |
|
2211 | initMet = indValid[0] | |
| 2209 | endMet = 0 |
|
2212 | endMet = 0 | |
| 2210 |
|
2213 | |||
| 2211 | for i in range(len(indValid)-1): |
|
2214 | for i in range(len(indValid)-1): | |
| 2212 |
|
2215 | |||
| 2213 | #Time difference |
|
2216 | #Time difference | |
| 2214 | inow = indValid[i] |
|
2217 | inow = indValid[i] | |
| 2215 | inext = indValid[i+1] |
|
2218 | inext = indValid[i+1] | |
| 2216 | idiff = inext - inow |
|
2219 | idiff = inext - inow | |
| 2217 | #Phase difference |
|
2220 | #Phase difference | |
| 2218 | phDiff = numpy.abs(phase1[inext] - phase1[inow]) |
|
2221 | phDiff = numpy.abs(phase1[inext] - phase1[inow]) | |
| 2219 |
|
2222 | |||
| 2220 | if idiff>sec or phDiff>numpy.pi/4 or inext==indValid[-1]: #End of Meteor |
|
2223 | if idiff>sec or phDiff>numpy.pi/4 or inext==indValid[-1]: #End of Meteor | |
| 2221 | sizeTrail = inow - initMet + 1 |
|
2224 | sizeTrail = inow - initMet + 1 | |
| 2222 | if sizeTrail>3*sec: #Too short meteors |
|
2225 | if sizeTrail>3*sec: #Too short meteors | |
| 2223 | x = numpy.arange(initMet,inow+1)*ippSeconds |
|
2226 | x = numpy.arange(initMet,inow+1)*ippSeconds | |
| 2224 | y = phase1[initMet:inow+1] |
|
2227 | y = phase1[initMet:inow+1] | |
| 2225 | ynnan = ~numpy.isnan(y) |
|
2228 | ynnan = ~numpy.isnan(y) | |
| 2226 | x = x[ynnan] |
|
2229 | x = x[ynnan] | |
| 2227 | y = y[ynnan] |
|
2230 | y = y[ynnan] | |
| 2228 | slope, intercept, r_value, p_value, std_err = stats.linregress(x,y) |
|
2231 | slope, intercept, r_value, p_value, std_err = stats.linregress(x,y) | |
| 2229 | ylin = x*slope + intercept |
|
2232 | ylin = x*slope + intercept | |
| 2230 | rsq = r_value**2 |
|
2233 | rsq = r_value**2 | |
| 2231 | if rsq > 0.5: |
|
2234 | if rsq > 0.5: | |
| 2232 | vel = slope#*height*1000/(k*d) |
|
2235 | vel = slope#*height*1000/(k*d) | |
| 2233 | estAux = numpy.array([utctime,p,height, vel, rsq]) |
|
2236 | estAux = numpy.array([utctime,p,height, vel, rsq]) | |
| 2234 | meteorList.append(estAux) |
|
2237 | meteorList.append(estAux) | |
| 2235 | initMet = inext |
|
2238 | initMet = inext | |
| 2236 | metArray2 = numpy.array(meteorList) |
|
2239 | metArray2 = numpy.array(meteorList) | |
| 2237 |
|
2240 | |||
| 2238 | return metArray2 |
|
2241 | return metArray2 | |
| 2239 |
|
2242 | |||
| 2240 | def __calculateAzimuth1(self, rx_location, pairslist, azimuth0): |
|
2243 | def __calculateAzimuth1(self, rx_location, pairslist, azimuth0): | |
| 2241 |
|
2244 | |||
| 2242 | azimuth1 = numpy.zeros(len(pairslist)) |
|
2245 | azimuth1 = numpy.zeros(len(pairslist)) | |
| 2243 | dist = numpy.zeros(len(pairslist)) |
|
2246 | dist = numpy.zeros(len(pairslist)) | |
| 2244 |
|
2247 | |||
| 2245 | for i in range(len(rx_location)): |
|
2248 | for i in range(len(rx_location)): | |
| 2246 | ch0 = pairslist[i][0] |
|
2249 | ch0 = pairslist[i][0] | |
| 2247 | ch1 = pairslist[i][1] |
|
2250 | ch1 = pairslist[i][1] | |
| 2248 |
|
2251 | |||
| 2249 | diffX = rx_location[ch0][0] - rx_location[ch1][0] |
|
2252 | diffX = rx_location[ch0][0] - rx_location[ch1][0] | |
| 2250 | diffY = rx_location[ch0][1] - rx_location[ch1][1] |
|
2253 | diffY = rx_location[ch0][1] - rx_location[ch1][1] | |
| 2251 | azimuth1[i] = numpy.arctan2(diffY,diffX)*180/numpy.pi |
|
2254 | azimuth1[i] = numpy.arctan2(diffY,diffX)*180/numpy.pi | |
| 2252 | dist[i] = numpy.sqrt(diffX**2 + diffY**2) |
|
2255 | dist[i] = numpy.sqrt(diffX**2 + diffY**2) | |
| 2253 |
|
2256 | |||
| 2254 | azimuth1 -= azimuth0 |
|
2257 | azimuth1 -= azimuth0 | |
| 2255 | return azimuth1, dist |
|
2258 | return azimuth1, dist | |
| 2256 |
|
2259 | |||
| 2257 | def techniqueNSM_DBS(self, **kwargs): |
|
2260 | def techniqueNSM_DBS(self, **kwargs): | |
| 2258 | metArray = kwargs['metArray'] |
|
2261 | metArray = kwargs['metArray'] | |
| 2259 | heightList = kwargs['heightList'] |
|
2262 | heightList = kwargs['heightList'] | |
| 2260 | timeList = kwargs['timeList'] |
|
2263 | timeList = kwargs['timeList'] | |
| 2261 | azimuth = kwargs['azimuth'] |
|
2264 | azimuth = kwargs['azimuth'] | |
| 2262 | theta_x = numpy.array(kwargs['theta_x']) |
|
2265 | theta_x = numpy.array(kwargs['theta_x']) | |
| 2263 | theta_y = numpy.array(kwargs['theta_y']) |
|
2266 | theta_y = numpy.array(kwargs['theta_y']) | |
| 2264 |
|
2267 | |||
| 2265 | utctime = metArray[:,0] |
|
2268 | utctime = metArray[:,0] | |
| 2266 | cmet = metArray[:,1].astype(int) |
|
2269 | cmet = metArray[:,1].astype(int) | |
| 2267 | hmet = metArray[:,3].astype(int) |
|
2270 | hmet = metArray[:,3].astype(int) | |
| 2268 | SNRmet = metArray[:,4] |
|
2271 | SNRmet = metArray[:,4] | |
| 2269 | vmet = metArray[:,5] |
|
2272 | vmet = metArray[:,5] | |
| 2270 | spcmet = metArray[:,6] |
|
2273 | spcmet = metArray[:,6] | |
| 2271 |
|
2274 | |||
| 2272 | nChan = numpy.max(cmet) + 1 |
|
2275 | nChan = numpy.max(cmet) + 1 | |
| 2273 | nHeights = len(heightList) |
|
2276 | nHeights = len(heightList) | |
| 2274 |
|
2277 | |||
| 2275 | azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw = self.__calculateAngles(theta_x, theta_y, azimuth) |
|
2278 | azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw = self.__calculateAngles(theta_x, theta_y, azimuth) | |
| 2276 | hmet = heightList[hmet] |
|
2279 | hmet = heightList[hmet] | |
| 2277 | h1met = hmet*numpy.cos(zenith_arr[cmet]) #Corrected heights |
|
2280 | h1met = hmet*numpy.cos(zenith_arr[cmet]) #Corrected heights | |
| 2278 |
|
2281 | |||
| 2279 | velEst = numpy.zeros((heightList.size,2))*numpy.nan |
|
2282 | velEst = numpy.zeros((heightList.size,2))*numpy.nan | |
| 2280 |
|
2283 | |||
| 2281 | for i in range(nHeights - 1): |
|
2284 | for i in range(nHeights - 1): | |
| 2282 | hmin = heightList[i] |
|
2285 | hmin = heightList[i] | |
| 2283 | hmax = heightList[i + 1] |
|
2286 | hmax = heightList[i + 1] | |
| 2284 |
|
2287 | |||
| 2285 | thisH = (h1met>=hmin) & (h1met<hmax) & (cmet!=2) & (SNRmet>8) & (vmet<50) & (spcmet<10) |
|
2288 | thisH = (h1met>=hmin) & (h1met<hmax) & (cmet!=2) & (SNRmet>8) & (vmet<50) & (spcmet<10) | |
| 2286 | indthisH = numpy.where(thisH) |
|
2289 | indthisH = numpy.where(thisH) | |
| 2287 |
|
2290 | |||
| 2288 | if numpy.size(indthisH) > 3: |
|
2291 | if numpy.size(indthisH) > 3: | |
| 2289 |
|
2292 | |||
| 2290 | vel_aux = vmet[thisH] |
|
2293 | vel_aux = vmet[thisH] | |
| 2291 | chan_aux = cmet[thisH] |
|
2294 | chan_aux = cmet[thisH] | |
| 2292 | cosu_aux = dir_cosu[chan_aux] |
|
2295 | cosu_aux = dir_cosu[chan_aux] | |
| 2293 | cosv_aux = dir_cosv[chan_aux] |
|
2296 | cosv_aux = dir_cosv[chan_aux] | |
| 2294 | cosw_aux = dir_cosw[chan_aux] |
|
2297 | cosw_aux = dir_cosw[chan_aux] | |
| 2295 |
|
2298 | |||
| 2296 | nch = numpy.size(numpy.unique(chan_aux)) |
|
2299 | nch = numpy.size(numpy.unique(chan_aux)) | |
| 2297 | if nch > 1: |
|
2300 | if nch > 1: | |
| 2298 | A = self.__calculateMatA(cosu_aux, cosv_aux, cosw_aux, True) |
|
2301 | A = self.__calculateMatA(cosu_aux, cosv_aux, cosw_aux, True) | |
| 2299 | velEst[i,:] = numpy.dot(A,vel_aux) |
|
2302 | velEst[i,:] = numpy.dot(A,vel_aux) | |
| 2300 |
|
2303 | |||
| 2301 | return velEst |
|
2304 | return velEst | |
| 2302 |
|
2305 | |||
| 2303 | def run(self, dataOut, technique, nHours=1, hmin=70, hmax=110, **kwargs): |
|
2306 | def run(self, dataOut, technique, nHours=1, hmin=70, hmax=110, **kwargs): | |
| 2304 |
|
2307 | |||
| 2305 | param = dataOut.data_param |
|
2308 | param = dataOut.data_param | |
| 2306 | if dataOut.abscissaList != None: |
|
2309 | if dataOut.abscissaList != None: | |
| 2307 | absc = dataOut.abscissaList[:-1] |
|
2310 | absc = dataOut.abscissaList[:-1] | |
| 2308 | # noise = dataOut.noise |
|
2311 | # noise = dataOut.noise | |
| 2309 | heightList = dataOut.heightList |
|
2312 | heightList = dataOut.heightList | |
| 2310 | SNR = dataOut.data_SNR |
|
2313 | SNR = dataOut.data_SNR | |
| 2311 |
|
2314 | |||
| 2312 | if technique == 'DBS': |
|
2315 | if technique == 'DBS': | |
| 2313 |
|
2316 | |||
| 2314 | kwargs['velRadial'] = param[:,1,:] #Radial velocity |
|
2317 | kwargs['velRadial'] = param[:,1,:] #Radial velocity | |
| 2315 | kwargs['heightList'] = heightList |
|
2318 | kwargs['heightList'] = heightList | |
| 2316 | kwargs['SNR'] = SNR |
|
2319 | kwargs['SNR'] = SNR | |
| 2317 |
|
2320 | |||
| 2318 | dataOut.data_output, dataOut.heightList, dataOut.data_SNR = self.techniqueDBS(kwargs) #DBS Function |
|
2321 | dataOut.data_output, dataOut.heightList, dataOut.data_SNR = self.techniqueDBS(kwargs) #DBS Function | |
| 2319 | dataOut.utctimeInit = dataOut.utctime |
|
2322 | dataOut.utctimeInit = dataOut.utctime | |
| 2320 | dataOut.outputInterval = dataOut.paramInterval |
|
2323 | dataOut.outputInterval = dataOut.paramInterval | |
| 2321 |
|
2324 | |||
| 2322 | elif technique == 'SA': |
|
2325 | elif technique == 'SA': | |
| 2323 |
|
2326 | |||
| 2324 | #Parameters |
|
2327 | #Parameters | |
| 2325 | # position_x = kwargs['positionX'] |
|
2328 | # position_x = kwargs['positionX'] | |
| 2326 | # position_y = kwargs['positionY'] |
|
2329 | # position_y = kwargs['positionY'] | |
| 2327 | # azimuth = kwargs['azimuth'] |
|
2330 | # azimuth = kwargs['azimuth'] | |
| 2328 | # |
|
2331 | # | |
| 2329 | # if kwargs.has_key('crosspairsList'): |
|
2332 | # if kwargs.has_key('crosspairsList'): | |
| 2330 | # pairs = kwargs['crosspairsList'] |
|
2333 | # pairs = kwargs['crosspairsList'] | |
| 2331 | # else: |
|
2334 | # else: | |
| 2332 | # pairs = None |
|
2335 | # pairs = None | |
| 2333 | # |
|
2336 | # | |
| 2334 | # if kwargs.has_key('correctFactor'): |
|
2337 | # if kwargs.has_key('correctFactor'): | |
| 2335 | # correctFactor = kwargs['correctFactor'] |
|
2338 | # correctFactor = kwargs['correctFactor'] | |
| 2336 | # else: |
|
2339 | # else: | |
| 2337 | # correctFactor = 1 |
|
2340 | # correctFactor = 1 | |
| 2338 |
|
2341 | |||
| 2339 | # tau = dataOut.data_param |
|
2342 | # tau = dataOut.data_param | |
| 2340 | # _lambda = dataOut.C/dataOut.frequency |
|
2343 | # _lambda = dataOut.C/dataOut.frequency | |
| 2341 | # pairsList = dataOut.groupList |
|
2344 | # pairsList = dataOut.groupList | |
| 2342 | # nChannels = dataOut.nChannels |
|
2345 | # nChannels = dataOut.nChannels | |
| 2343 |
|
2346 | |||
| 2344 | kwargs['groupList'] = dataOut.groupList |
|
2347 | kwargs['groupList'] = dataOut.groupList | |
| 2345 | kwargs['tau'] = dataOut.data_param |
|
2348 | kwargs['tau'] = dataOut.data_param | |
| 2346 | kwargs['_lambda'] = dataOut.C/dataOut.frequency |
|
2349 | kwargs['_lambda'] = dataOut.C/dataOut.frequency | |
| 2347 | # dataOut.data_output = self.techniqueSA(pairs, pairsList, nChannels, tau, azimuth, _lambda, position_x, position_y, absc, correctFactor) |
|
2350 | # dataOut.data_output = self.techniqueSA(pairs, pairsList, nChannels, tau, azimuth, _lambda, position_x, position_y, absc, correctFactor) | |
| 2348 | dataOut.data_output = self.techniqueSA(kwargs) |
|
2351 | dataOut.data_output = self.techniqueSA(kwargs) | |
| 2349 | dataOut.utctimeInit = dataOut.utctime |
|
2352 | dataOut.utctimeInit = dataOut.utctime | |
| 2350 | dataOut.outputInterval = dataOut.timeInterval |
|
2353 | dataOut.outputInterval = dataOut.timeInterval | |
| 2351 |
|
2354 | |||
| 2352 | elif technique == 'Meteors': |
|
2355 | elif technique == 'Meteors': | |
| 2353 | dataOut.flagNoData = True |
|
2356 | dataOut.flagNoData = True | |
| 2354 | self.__dataReady = False |
|
2357 | self.__dataReady = False | |
| 2355 |
|
2358 | |||
| 2356 | if kwargs.has_key('nHours'): |
|
2359 | if kwargs.has_key('nHours'): | |
| 2357 | nHours = kwargs['nHours'] |
|
2360 | nHours = kwargs['nHours'] | |
| 2358 | else: |
|
2361 | else: | |
| 2359 | nHours = 1 |
|
2362 | nHours = 1 | |
| 2360 |
|
2363 | |||
| 2361 | if kwargs.has_key('meteorsPerBin'): |
|
2364 | if kwargs.has_key('meteorsPerBin'): | |
| 2362 | meteorThresh = kwargs['meteorsPerBin'] |
|
2365 | meteorThresh = kwargs['meteorsPerBin'] | |
| 2363 | else: |
|
2366 | else: | |
| 2364 | meteorThresh = 6 |
|
2367 | meteorThresh = 6 | |
| 2365 |
|
2368 | |||
| 2366 | if kwargs.has_key('hmin'): |
|
2369 | if kwargs.has_key('hmin'): | |
| 2367 | hmin = kwargs['hmin'] |
|
2370 | hmin = kwargs['hmin'] | |
| 2368 | else: hmin = 70 |
|
2371 | else: hmin = 70 | |
| 2369 | if kwargs.has_key('hmax'): |
|
2372 | if kwargs.has_key('hmax'): | |
| 2370 | hmax = kwargs['hmax'] |
|
2373 | hmax = kwargs['hmax'] | |
| 2371 | else: hmax = 110 |
|
2374 | else: hmax = 110 | |
| 2372 |
|
2375 | |||
| 2373 | dataOut.outputInterval = nHours*3600 |
|
2376 | dataOut.outputInterval = nHours*3600 | |
| 2374 |
|
2377 | |||
| 2375 | if self.__isConfig == False: |
|
2378 | if self.__isConfig == False: | |
| 2376 | # self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03) |
|
2379 | # self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03) | |
| 2377 | #Get Initial LTC time |
|
2380 | #Get Initial LTC time | |
| 2378 | self.__initime = datetime.datetime.utcfromtimestamp(dataOut.utctime) |
|
2381 | self.__initime = datetime.datetime.utcfromtimestamp(dataOut.utctime) | |
| 2379 | self.__initime = (self.__initime.replace(minute = 0, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
2382 | self.__initime = (self.__initime.replace(minute = 0, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds() | |
| 2380 |
|
2383 | |||
| 2381 | self.__isConfig = True |
|
2384 | self.__isConfig = True | |
| 2382 |
|
2385 | |||
| 2383 | if self.__buffer == None: |
|
2386 | if self.__buffer == None: | |
| 2384 | self.__buffer = dataOut.data_param |
|
2387 | self.__buffer = dataOut.data_param | |
| 2385 | self.__firstdata = copy.copy(dataOut) |
|
2388 | self.__firstdata = copy.copy(dataOut) | |
| 2386 |
|
2389 | |||
| 2387 | else: |
|
2390 | else: | |
| 2388 | self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param)) |
|
2391 | self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param)) | |
| 2389 |
|
2392 | |||
| 2390 | self.__checkTime(dataOut.utctime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready |
|
2393 | self.__checkTime(dataOut.utctime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready | |
| 2391 |
|
2394 | |||
| 2392 | if self.__dataReady: |
|
2395 | if self.__dataReady: | |
| 2393 | dataOut.utctimeInit = self.__initime |
|
2396 | dataOut.utctimeInit = self.__initime | |
| 2394 |
|
2397 | |||
| 2395 | self.__initime += dataOut.outputInterval #to erase time offset |
|
2398 | self.__initime += dataOut.outputInterval #to erase time offset | |
| 2396 |
|
2399 | |||
| 2397 | dataOut.data_output, dataOut.heightList = self.techniqueMeteors(self.__buffer, meteorThresh, hmin, hmax) |
|
2400 | dataOut.data_output, dataOut.heightList = self.techniqueMeteors(self.__buffer, meteorThresh, hmin, hmax) | |
| 2398 | dataOut.flagNoData = False |
|
2401 | dataOut.flagNoData = False | |
| 2399 | self.__buffer = None |
|
2402 | self.__buffer = None | |
| 2400 |
|
2403 | |||
| 2401 | elif technique == 'Meteors1': |
|
2404 | elif technique == 'Meteors1': | |
| 2402 | dataOut.flagNoData = True |
|
2405 | dataOut.flagNoData = True | |
| 2403 | self.__dataReady = False |
|
2406 | self.__dataReady = False | |
| 2404 |
|
2407 | |||
| 2405 | if kwargs.has_key('nMins'): |
|
2408 | if kwargs.has_key('nMins'): | |
| 2406 | nMins = kwargs['nMins'] |
|
2409 | nMins = kwargs['nMins'] | |
| 2407 | else: nMins = 20 |
|
2410 | else: nMins = 20 | |
| 2408 | if kwargs.has_key('rx_location'): |
|
2411 | if kwargs.has_key('rx_location'): | |
| 2409 | rx_location = kwargs['rx_location'] |
|
2412 | rx_location = kwargs['rx_location'] | |
| 2410 | else: rx_location = [(0,1),(1,1),(1,0)] |
|
2413 | else: rx_location = [(0,1),(1,1),(1,0)] | |
| 2411 | if kwargs.has_key('azimuth'): |
|
2414 | if kwargs.has_key('azimuth'): | |
| 2412 | azimuth = kwargs['azimuth'] |
|
2415 | azimuth = kwargs['azimuth'] | |
| 2413 | else: azimuth = 51.06 |
|
2416 | else: azimuth = 51.06 | |
| 2414 | if kwargs.has_key('dfactor'): |
|
2417 | if kwargs.has_key('dfactor'): | |
| 2415 | dfactor = kwargs['dfactor'] |
|
2418 | dfactor = kwargs['dfactor'] | |
| 2416 | if kwargs.has_key('mode'): |
|
2419 | if kwargs.has_key('mode'): | |
| 2417 | mode = kwargs['mode'] |
|
2420 | mode = kwargs['mode'] | |
| 2418 | if kwargs.has_key('theta_x'): |
|
2421 | if kwargs.has_key('theta_x'): | |
| 2419 | theta_x = kwargs['theta_x'] |
|
2422 | theta_x = kwargs['theta_x'] | |
| 2420 | if kwargs.has_key('theta_y'): |
|
2423 | if kwargs.has_key('theta_y'): | |
| 2421 | theta_y = kwargs['theta_y'] |
|
2424 | theta_y = kwargs['theta_y'] | |
| 2422 | else: mode = 'SA' |
|
2425 | else: mode = 'SA' | |
| 2423 |
|
2426 | |||
| 2424 | #Borrar luego esto |
|
2427 | #Borrar luego esto | |
| 2425 | if dataOut.groupList == None: |
|
2428 | if dataOut.groupList == None: | |
| 2426 | dataOut.groupList = [(0,1),(0,2),(1,2)] |
|
2429 | dataOut.groupList = [(0,1),(0,2),(1,2)] | |
| 2427 | groupList = dataOut.groupList |
|
2430 | groupList = dataOut.groupList | |
| 2428 | C = 3e8 |
|
2431 | C = 3e8 | |
| 2429 | freq = 50e6 |
|
2432 | freq = 50e6 | |
| 2430 | lamb = C/freq |
|
2433 | lamb = C/freq | |
| 2431 | k = 2*numpy.pi/lamb |
|
2434 | k = 2*numpy.pi/lamb | |
| 2432 |
|
2435 | |||
| 2433 | timeList = dataOut.abscissaList |
|
2436 | timeList = dataOut.abscissaList | |
| 2434 | heightList = dataOut.heightList |
|
2437 | heightList = dataOut.heightList | |
| 2435 |
|
2438 | |||
| 2436 | if self.__isConfig == False: |
|
2439 | if self.__isConfig == False: | |
| 2437 | dataOut.outputInterval = nMins*60 |
|
2440 | dataOut.outputInterval = nMins*60 | |
| 2438 | # self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03) |
|
2441 | # self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03) | |
| 2439 | #Get Initial LTC time |
|
2442 | #Get Initial LTC time | |
| 2440 | initime = datetime.datetime.utcfromtimestamp(dataOut.utctime) |
|
2443 | initime = datetime.datetime.utcfromtimestamp(dataOut.utctime) | |
| 2441 | minuteAux = initime.minute |
|
2444 | minuteAux = initime.minute | |
| 2442 | minuteNew = int(numpy.floor(minuteAux/nMins)*nMins) |
|
2445 | minuteNew = int(numpy.floor(minuteAux/nMins)*nMins) | |
| 2443 | self.__initime = (initime.replace(minute = minuteNew, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
2446 | self.__initime = (initime.replace(minute = minuteNew, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds() | |
| 2444 |
|
2447 | |||
| 2445 | self.__isConfig = True |
|
2448 | self.__isConfig = True | |
| 2446 |
|
2449 | |||
| 2447 | if self.__buffer == None: |
|
2450 | if self.__buffer == None: | |
| 2448 | self.__buffer = dataOut.data_param |
|
2451 | self.__buffer = dataOut.data_param | |
| 2449 | self.__firstdata = copy.copy(dataOut) |
|
2452 | self.__firstdata = copy.copy(dataOut) | |
| 2450 |
|
2453 | |||
| 2451 | else: |
|
2454 | else: | |
| 2452 | self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param)) |
|
2455 | self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param)) | |
| 2453 |
|
2456 | |||
| 2454 | self.__checkTime(dataOut.utctime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready |
|
2457 | self.__checkTime(dataOut.utctime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready | |
| 2455 |
|
2458 | |||
| 2456 | if self.__dataReady: |
|
2459 | if self.__dataReady: | |
| 2457 | dataOut.utctimeInit = self.__initime |
|
2460 | dataOut.utctimeInit = self.__initime | |
| 2458 | self.__initime += dataOut.outputInterval #to erase time offset |
|
2461 | self.__initime += dataOut.outputInterval #to erase time offset | |
| 2459 |
|
2462 | |||
| 2460 | metArray = self.__buffer |
|
2463 | metArray = self.__buffer | |
| 2461 | if mode == 'SA': |
|
2464 | if mode == 'SA': | |
| 2462 | dataOut.data_output = self.techniqueNSM_SA(rx_location=rx_location, groupList=groupList, azimuth=azimuth, dfactor=dfactor, k=k,metArray=metArray, heightList=heightList,timeList=timeList) |
|
2465 | dataOut.data_output = self.techniqueNSM_SA(rx_location=rx_location, groupList=groupList, azimuth=azimuth, dfactor=dfactor, k=k,metArray=metArray, heightList=heightList,timeList=timeList) | |
| 2463 | elif mode == 'DBS': |
|
2466 | elif mode == 'DBS': | |
| 2464 | dataOut.data_output = self.techniqueNSM_DBS(metArray=metArray,heightList=heightList,timeList=timeList, azimuth=azimuth, theta_x=theta_x, theta_y=theta_y) |
|
2467 | dataOut.data_output = self.techniqueNSM_DBS(metArray=metArray,heightList=heightList,timeList=timeList, azimuth=azimuth, theta_x=theta_x, theta_y=theta_y) | |
| 2465 | dataOut.data_output = dataOut.data_output.T |
|
2468 | dataOut.data_output = dataOut.data_output.T | |
| 2466 | dataOut.flagNoData = False |
|
2469 | dataOut.flagNoData = False | |
| 2467 | self.__buffer = None |
|
2470 | self.__buffer = None | |
| 2468 |
|
2471 | |||
| 2469 | return |
|
2472 | return | |
| 2470 |
|
2473 | |||
| 2471 | class EWDriftsEstimation(Operation): |
|
2474 | class EWDriftsEstimation(Operation): | |
| 2472 |
|
2475 | |||
| 2473 | def __init__(self): |
|
2476 | def __init__(self): | |
| 2474 | Operation.__init__(self) |
|
2477 | Operation.__init__(self) | |
| 2475 |
|
2478 | |||
| 2476 | def __correctValues(self, heiRang, phi, velRadial, SNR): |
|
2479 | def __correctValues(self, heiRang, phi, velRadial, SNR): | |
| 2477 | listPhi = phi.tolist() |
|
2480 | listPhi = phi.tolist() | |
| 2478 | maxid = listPhi.index(max(listPhi)) |
|
2481 | maxid = listPhi.index(max(listPhi)) | |
| 2479 | minid = listPhi.index(min(listPhi)) |
|
2482 | minid = listPhi.index(min(listPhi)) | |
| 2480 |
|
2483 | |||
| 2481 | rango = range(len(phi)) |
|
2484 | rango = range(len(phi)) | |
| 2482 | # rango = numpy.delete(rango,maxid) |
|
2485 | # rango = numpy.delete(rango,maxid) | |
| 2483 |
|
2486 | |||
| 2484 | heiRang1 = heiRang*math.cos(phi[maxid]) |
|
2487 | heiRang1 = heiRang*math.cos(phi[maxid]) | |
| 2485 | heiRangAux = heiRang*math.cos(phi[minid]) |
|
2488 | heiRangAux = heiRang*math.cos(phi[minid]) | |
| 2486 | indOut = (heiRang1 < heiRangAux[0]).nonzero() |
|
2489 | indOut = (heiRang1 < heiRangAux[0]).nonzero() | |
| 2487 | heiRang1 = numpy.delete(heiRang1,indOut) |
|
2490 | heiRang1 = numpy.delete(heiRang1,indOut) | |
| 2488 |
|
2491 | |||
| 2489 | velRadial1 = numpy.zeros([len(phi),len(heiRang1)]) |
|
2492 | velRadial1 = numpy.zeros([len(phi),len(heiRang1)]) | |
| 2490 | SNR1 = numpy.zeros([len(phi),len(heiRang1)]) |
|
2493 | SNR1 = numpy.zeros([len(phi),len(heiRang1)]) | |
| 2491 |
|
2494 | |||
| 2492 | for i in rango: |
|
2495 | for i in rango: | |
| 2493 | x = heiRang*math.cos(phi[i]) |
|
2496 | x = heiRang*math.cos(phi[i]) | |
| 2494 | y1 = velRadial[i,:] |
|
2497 | y1 = velRadial[i,:] | |
| 2495 | f1 = interpolate.interp1d(x,y1,kind = 'cubic') |
|
2498 | f1 = interpolate.interp1d(x,y1,kind = 'cubic') | |
| 2496 |
|
2499 | |||
| 2497 | x1 = heiRang1 |
|
2500 | x1 = heiRang1 | |
| 2498 | y11 = f1(x1) |
|
2501 | y11 = f1(x1) | |
| 2499 |
|
2502 | |||
| 2500 | y2 = SNR[i,:] |
|
2503 | y2 = SNR[i,:] | |
| 2501 | f2 = interpolate.interp1d(x,y2,kind = 'cubic') |
|
2504 | f2 = interpolate.interp1d(x,y2,kind = 'cubic') | |
| 2502 | y21 = f2(x1) |
|
2505 | y21 = f2(x1) | |
| 2503 |
|
2506 | |||
| 2504 | velRadial1[i,:] = y11 |
|
2507 | velRadial1[i,:] = y11 | |
| 2505 | SNR1[i,:] = y21 |
|
2508 | SNR1[i,:] = y21 | |
| 2506 |
|
2509 | |||
| 2507 | return heiRang1, velRadial1, SNR1 |
|
2510 | return heiRang1, velRadial1, SNR1 | |
| 2508 |
|
2511 | |||
| 2509 | def run(self, dataOut, zenith, zenithCorrection): |
|
2512 | def run(self, dataOut, zenith, zenithCorrection): | |
| 2510 | heiRang = dataOut.heightList |
|
2513 | heiRang = dataOut.heightList | |
| 2511 | velRadial = dataOut.data_param[:,3,:] |
|
2514 | velRadial = dataOut.data_param[:,3,:] | |
| 2512 | SNR = dataOut.data_SNR |
|
2515 | SNR = dataOut.data_SNR | |
| 2513 |
|
2516 | |||
| 2514 | zenith = numpy.array(zenith) |
|
2517 | zenith = numpy.array(zenith) | |
| 2515 | zenith -= zenithCorrection |
|
2518 | zenith -= zenithCorrection | |
| 2516 | zenith *= numpy.pi/180 |
|
2519 | zenith *= numpy.pi/180 | |
| 2517 |
|
2520 | |||
| 2518 | heiRang1, velRadial1, SNR1 = self.__correctValues(heiRang, numpy.abs(zenith), velRadial, SNR) |
|
2521 | heiRang1, velRadial1, SNR1 = self.__correctValues(heiRang, numpy.abs(zenith), velRadial, SNR) | |
| 2519 |
|
2522 | |||
| 2520 | alp = zenith[0] |
|
2523 | alp = zenith[0] | |
| 2521 | bet = zenith[1] |
|
2524 | bet = zenith[1] | |
| 2522 |
|
2525 | |||
| 2523 | w_w = velRadial1[0,:] |
|
2526 | w_w = velRadial1[0,:] | |
| 2524 | w_e = velRadial1[1,:] |
|
2527 | w_e = velRadial1[1,:] | |
| 2525 |
|
2528 | |||
| 2526 | w = (w_w*numpy.sin(bet) - w_e*numpy.sin(alp))/(numpy.cos(alp)*numpy.sin(bet) - numpy.cos(bet)*numpy.sin(alp)) |
|
2529 | w = (w_w*numpy.sin(bet) - w_e*numpy.sin(alp))/(numpy.cos(alp)*numpy.sin(bet) - numpy.cos(bet)*numpy.sin(alp)) | |
| 2527 | u = (w_w*numpy.cos(bet) - w_e*numpy.cos(alp))/(numpy.sin(alp)*numpy.cos(bet) - numpy.sin(bet)*numpy.cos(alp)) |
|
2530 | u = (w_w*numpy.cos(bet) - w_e*numpy.cos(alp))/(numpy.sin(alp)*numpy.cos(bet) - numpy.sin(bet)*numpy.cos(alp)) | |
| 2528 |
|
2531 | |||
| 2529 | winds = numpy.vstack((u,w)) |
|
2532 | winds = numpy.vstack((u,w)) | |
| 2530 |
|
2533 | |||
| 2531 | dataOut.heightList = heiRang1 |
|
2534 | dataOut.heightList = heiRang1 | |
| 2532 | dataOut.data_output = winds |
|
2535 | dataOut.data_output = winds | |
| 2533 | dataOut.data_SNR = SNR1 |
|
2536 | dataOut.data_SNR = SNR1 | |
| 2534 |
|
2537 | |||
| 2535 | dataOut.utctimeInit = dataOut.utctime |
|
2538 | dataOut.utctimeInit = dataOut.utctime | |
| 2536 | dataOut.outputInterval = dataOut.timeInterval |
|
2539 | dataOut.outputInterval = dataOut.timeInterval | |
| 2537 | return |
|
2540 | return | |
| 2538 |
|
2541 | |||
| 2539 | #--------------- Non Specular Meteor ---------------- |
|
2542 | #--------------- Non Specular Meteor ---------------- | |
| 2540 |
|
2543 | |||
| 2541 | class NonSpecularMeteorDetection(Operation): |
|
2544 | class NonSpecularMeteorDetection(Operation): | |
| 2542 |
|
2545 | |||
| 2543 | def run(self, dataOut, mode, SNRthresh=8, phaseDerThresh=0.5, cohThresh=0.8, allData = False): |
|
2546 | def run(self, dataOut, mode, SNRthresh=8, phaseDerThresh=0.5, cohThresh=0.8, allData = False): | |
| 2544 | data_acf = dataOut.data_pre[0] |
|
2547 | data_acf = dataOut.data_pre[0] | |
| 2545 | data_ccf = dataOut.data_pre[1] |
|
2548 | data_ccf = dataOut.data_pre[1] | |
| 2546 | pairsList = dataOut.groupList[1] |
|
2549 | pairsList = dataOut.groupList[1] | |
| 2547 |
|
2550 | |||
| 2548 | lamb = dataOut.C/dataOut.frequency |
|
2551 | lamb = dataOut.C/dataOut.frequency | |
| 2549 | tSamp = dataOut.ippSeconds*dataOut.nCohInt |
|
2552 | tSamp = dataOut.ippSeconds*dataOut.nCohInt | |
| 2550 | paramInterval = dataOut.paramInterval |
|
2553 | paramInterval = dataOut.paramInterval | |
| 2551 |
|
2554 | |||
| 2552 | nChannels = data_acf.shape[0] |
|
2555 | nChannels = data_acf.shape[0] | |
| 2553 | nLags = data_acf.shape[1] |
|
2556 | nLags = data_acf.shape[1] | |
| 2554 | nProfiles = data_acf.shape[2] |
|
2557 | nProfiles = data_acf.shape[2] | |
| 2555 | nHeights = dataOut.nHeights |
|
2558 | nHeights = dataOut.nHeights | |
| 2556 | nCohInt = dataOut.nCohInt |
|
2559 | nCohInt = dataOut.nCohInt | |
| 2557 | sec = numpy.round(nProfiles/dataOut.paramInterval) |
|
2560 | sec = numpy.round(nProfiles/dataOut.paramInterval) | |
| 2558 | heightList = dataOut.heightList |
|
2561 | heightList = dataOut.heightList | |
| 2559 | ippSeconds = dataOut.ippSeconds*dataOut.nCohInt*dataOut.nAvg |
|
2562 | ippSeconds = dataOut.ippSeconds*dataOut.nCohInt*dataOut.nAvg | |
| 2560 | utctime = dataOut.utctime |
|
2563 | utctime = dataOut.utctime | |
| 2561 |
|
2564 | |||
| 2562 | dataOut.abscissaList = numpy.arange(0,paramInterval+ippSeconds,ippSeconds) |
|
2565 | dataOut.abscissaList = numpy.arange(0,paramInterval+ippSeconds,ippSeconds) | |
| 2563 |
|
2566 | |||
| 2564 | #------------------------ SNR -------------------------------------- |
|
2567 | #------------------------ SNR -------------------------------------- | |
| 2565 | power = data_acf[:,0,:,:].real |
|
2568 | power = data_acf[:,0,:,:].real | |
| 2566 | noise = numpy.zeros(nChannels) |
|
2569 | noise = numpy.zeros(nChannels) | |
| 2567 | SNR = numpy.zeros(power.shape) |
|
2570 | SNR = numpy.zeros(power.shape) | |
| 2568 | for i in range(nChannels): |
|
2571 | for i in range(nChannels): | |
| 2569 | noise[i] = hildebrand_sekhon(power[i,:], nCohInt) |
|
2572 | noise[i] = hildebrand_sekhon(power[i,:], nCohInt) | |
| 2570 | SNR[i] = (power[i]-noise[i])/noise[i] |
|
2573 | SNR[i] = (power[i]-noise[i])/noise[i] | |
| 2571 | SNRm = numpy.nanmean(SNR, axis = 0) |
|
2574 | SNRm = numpy.nanmean(SNR, axis = 0) | |
| 2572 | SNRdB = 10*numpy.log10(SNR) |
|
2575 | SNRdB = 10*numpy.log10(SNR) | |
| 2573 |
|
2576 | |||
| 2574 | if mode == 'SA': |
|
2577 | if mode == 'SA': | |
| 2575 | dataOut.groupList = dataOut.groupList[1] |
|
2578 | dataOut.groupList = dataOut.groupList[1] | |
| 2576 | nPairs = data_ccf.shape[0] |
|
2579 | nPairs = data_ccf.shape[0] | |
| 2577 | #---------------------- Coherence and Phase -------------------------- |
|
2580 | #---------------------- Coherence and Phase -------------------------- | |
| 2578 | phase = numpy.zeros(data_ccf[:,0,:,:].shape) |
|
2581 | phase = numpy.zeros(data_ccf[:,0,:,:].shape) | |
| 2579 | # phase1 = numpy.copy(phase) |
|
2582 | # phase1 = numpy.copy(phase) | |
| 2580 | coh1 = numpy.zeros(data_ccf[:,0,:,:].shape) |
|
2583 | coh1 = numpy.zeros(data_ccf[:,0,:,:].shape) | |
| 2581 |
|
2584 | |||
| 2582 | for p in range(nPairs): |
|
2585 | for p in range(nPairs): | |
| 2583 | ch0 = pairsList[p][0] |
|
2586 | ch0 = pairsList[p][0] | |
| 2584 | ch1 = pairsList[p][1] |
|
2587 | ch1 = pairsList[p][1] | |
| 2585 | ccf = data_ccf[p,0,:,:]/numpy.sqrt(data_acf[ch0,0,:,:]*data_acf[ch1,0,:,:]) |
|
2588 | ccf = data_ccf[p,0,:,:]/numpy.sqrt(data_acf[ch0,0,:,:]*data_acf[ch1,0,:,:]) | |
| 2586 | phase[p,:,:] = ndimage.median_filter(numpy.angle(ccf), size = (5,1)) #median filter |
|
2589 | phase[p,:,:] = ndimage.median_filter(numpy.angle(ccf), size = (5,1)) #median filter | |
| 2587 | # phase1[p,:,:] = numpy.angle(ccf) #median filter |
|
2590 | # phase1[p,:,:] = numpy.angle(ccf) #median filter | |
| 2588 | coh1[p,:,:] = ndimage.median_filter(numpy.abs(ccf), 5) #median filter |
|
2591 | coh1[p,:,:] = ndimage.median_filter(numpy.abs(ccf), 5) #median filter | |
| 2589 | # coh1[p,:,:] = numpy.abs(ccf) #median filter |
|
2592 | # coh1[p,:,:] = numpy.abs(ccf) #median filter | |
| 2590 | coh = numpy.nanmax(coh1, axis = 0) |
|
2593 | coh = numpy.nanmax(coh1, axis = 0) | |
| 2591 | # struc = numpy.ones((5,1)) |
|
2594 | # struc = numpy.ones((5,1)) | |
| 2592 | # coh = ndimage.morphology.grey_dilation(coh, size=(10,1)) |
|
2595 | # coh = ndimage.morphology.grey_dilation(coh, size=(10,1)) | |
| 2593 | #---------------------- Radial Velocity ---------------------------- |
|
2596 | #---------------------- Radial Velocity ---------------------------- | |
| 2594 | phaseAux = numpy.mean(numpy.angle(data_acf[:,1,:,:]), axis = 0) |
|
2597 | phaseAux = numpy.mean(numpy.angle(data_acf[:,1,:,:]), axis = 0) | |
| 2595 | velRad = phaseAux*lamb/(4*numpy.pi*tSamp) |
|
2598 | velRad = phaseAux*lamb/(4*numpy.pi*tSamp) | |
| 2596 |
|
2599 | |||
| 2597 | if allData: |
|
2600 | if allData: | |
| 2598 | boolMetFin = ~numpy.isnan(SNRm) |
|
2601 | boolMetFin = ~numpy.isnan(SNRm) | |
| 2599 | # coh[:-1,:] = numpy.nanmean(numpy.abs(phase[:,1:,:] - phase[:,:-1,:]),axis=0) |
|
2602 | # coh[:-1,:] = numpy.nanmean(numpy.abs(phase[:,1:,:] - phase[:,:-1,:]),axis=0) | |
| 2600 | else: |
|
2603 | else: | |
| 2601 | #------------------------ Meteor mask --------------------------------- |
|
2604 | #------------------------ Meteor mask --------------------------------- | |
| 2602 | # #SNR mask |
|
2605 | # #SNR mask | |
| 2603 | # boolMet = (SNRdB>SNRthresh)#|(~numpy.isnan(SNRdB)) |
|
2606 | # boolMet = (SNRdB>SNRthresh)#|(~numpy.isnan(SNRdB)) | |
| 2604 | # |
|
2607 | # | |
| 2605 | # #Erase small objects |
|
2608 | # #Erase small objects | |
| 2606 | # boolMet1 = self.__erase_small(boolMet, 2*sec, 5) |
|
2609 | # boolMet1 = self.__erase_small(boolMet, 2*sec, 5) | |
| 2607 | # |
|
2610 | # | |
| 2608 | # auxEEJ = numpy.sum(boolMet1,axis=0) |
|
2611 | # auxEEJ = numpy.sum(boolMet1,axis=0) | |
| 2609 | # indOver = auxEEJ>nProfiles*0.8 #Use this later |
|
2612 | # indOver = auxEEJ>nProfiles*0.8 #Use this later | |
| 2610 | # indEEJ = numpy.where(indOver)[0] |
|
2613 | # indEEJ = numpy.where(indOver)[0] | |
| 2611 | # indNEEJ = numpy.where(~indOver)[0] |
|
2614 | # indNEEJ = numpy.where(~indOver)[0] | |
| 2612 | # |
|
2615 | # | |
| 2613 | # boolMetFin = boolMet1 |
|
2616 | # boolMetFin = boolMet1 | |
| 2614 | # |
|
2617 | # | |
| 2615 | # if indEEJ.size > 0: |
|
2618 | # if indEEJ.size > 0: | |
| 2616 | # boolMet1[:,indEEJ] = False #Erase heights with EEJ |
|
2619 | # boolMet1[:,indEEJ] = False #Erase heights with EEJ | |
| 2617 | # |
|
2620 | # | |
| 2618 | # boolMet2 = coh > cohThresh |
|
2621 | # boolMet2 = coh > cohThresh | |
| 2619 | # boolMet2 = self.__erase_small(boolMet2, 2*sec,5) |
|
2622 | # boolMet2 = self.__erase_small(boolMet2, 2*sec,5) | |
| 2620 | # |
|
2623 | # | |
| 2621 | # #Final Meteor mask |
|
2624 | # #Final Meteor mask | |
| 2622 | # boolMetFin = boolMet1|boolMet2 |
|
2625 | # boolMetFin = boolMet1|boolMet2 | |
| 2623 |
|
2626 | |||
| 2624 | #Coherence mask |
|
2627 | #Coherence mask | |
| 2625 | boolMet1 = coh > 0.75 |
|
2628 | boolMet1 = coh > 0.75 | |
| 2626 | struc = numpy.ones((30,1)) |
|
2629 | struc = numpy.ones((30,1)) | |
| 2627 | boolMet1 = ndimage.morphology.binary_dilation(boolMet1, structure=struc) |
|
2630 | boolMet1 = ndimage.morphology.binary_dilation(boolMet1, structure=struc) | |
| 2628 |
|
2631 | |||
| 2629 | #Derivative mask |
|
2632 | #Derivative mask | |
| 2630 | derPhase = numpy.nanmean(numpy.abs(phase[:,1:,:] - phase[:,:-1,:]),axis=0) |
|
2633 | derPhase = numpy.nanmean(numpy.abs(phase[:,1:,:] - phase[:,:-1,:]),axis=0) | |
| 2631 | boolMet2 = derPhase < 0.2 |
|
2634 | boolMet2 = derPhase < 0.2 | |
| 2632 | # boolMet2 = ndimage.morphology.binary_opening(boolMet2) |
|
2635 | # boolMet2 = ndimage.morphology.binary_opening(boolMet2) | |
| 2633 | # boolMet2 = ndimage.morphology.binary_closing(boolMet2, structure = numpy.ones((10,1))) |
|
2636 | # boolMet2 = ndimage.morphology.binary_closing(boolMet2, structure = numpy.ones((10,1))) | |
| 2634 | boolMet2 = ndimage.median_filter(boolMet2,size=5) |
|
2637 | boolMet2 = ndimage.median_filter(boolMet2,size=5) | |
| 2635 | boolMet2 = numpy.vstack((boolMet2,numpy.full((1,nHeights), True, dtype=bool))) |
|
2638 | boolMet2 = numpy.vstack((boolMet2,numpy.full((1,nHeights), True, dtype=bool))) | |
| 2636 | # #Final mask |
|
2639 | # #Final mask | |
| 2637 | # boolMetFin = boolMet2 |
|
2640 | # boolMetFin = boolMet2 | |
| 2638 | boolMetFin = boolMet1&boolMet2 |
|
2641 | boolMetFin = boolMet1&boolMet2 | |
| 2639 | # boolMetFin = ndimage.morphology.binary_dilation(boolMetFin) |
|
2642 | # boolMetFin = ndimage.morphology.binary_dilation(boolMetFin) | |
| 2640 | #Creating data_param |
|
2643 | #Creating data_param | |
| 2641 | coordMet = numpy.where(boolMetFin) |
|
2644 | coordMet = numpy.where(boolMetFin) | |
| 2642 |
|
2645 | |||
| 2643 | tmet = coordMet[0] |
|
2646 | tmet = coordMet[0] | |
| 2644 | hmet = coordMet[1] |
|
2647 | hmet = coordMet[1] | |
| 2645 |
|
2648 | |||
| 2646 | data_param = numpy.zeros((tmet.size, 6 + nPairs)) |
|
2649 | data_param = numpy.zeros((tmet.size, 6 + nPairs)) | |
| 2647 | data_param[:,0] = utctime |
|
2650 | data_param[:,0] = utctime | |
| 2648 | data_param[:,1] = tmet |
|
2651 | data_param[:,1] = tmet | |
| 2649 | data_param[:,2] = hmet |
|
2652 | data_param[:,2] = hmet | |
| 2650 | data_param[:,3] = SNRm[tmet,hmet] |
|
2653 | data_param[:,3] = SNRm[tmet,hmet] | |
| 2651 | data_param[:,4] = velRad[tmet,hmet] |
|
2654 | data_param[:,4] = velRad[tmet,hmet] | |
| 2652 | data_param[:,5] = coh[tmet,hmet] |
|
2655 | data_param[:,5] = coh[tmet,hmet] | |
| 2653 | data_param[:,6:] = phase[:,tmet,hmet].T |
|
2656 | data_param[:,6:] = phase[:,tmet,hmet].T | |
| 2654 |
|
2657 | |||
| 2655 | elif mode == 'DBS': |
|
2658 | elif mode == 'DBS': | |
| 2656 | dataOut.groupList = numpy.arange(nChannels) |
|
2659 | dataOut.groupList = numpy.arange(nChannels) | |
| 2657 |
|
2660 | |||
| 2658 | #Radial Velocities |
|
2661 | #Radial Velocities | |
| 2659 | phase = numpy.angle(data_acf[:,1,:,:]) |
|
2662 | phase = numpy.angle(data_acf[:,1,:,:]) | |
| 2660 | # phase = ndimage.median_filter(numpy.angle(data_acf[:,1,:,:]), size = (1,5,1)) |
|
2663 | # phase = ndimage.median_filter(numpy.angle(data_acf[:,1,:,:]), size = (1,5,1)) | |
| 2661 | velRad = phase*lamb/(4*numpy.pi*tSamp) |
|
2664 | velRad = phase*lamb/(4*numpy.pi*tSamp) | |
| 2662 |
|
2665 | |||
| 2663 | #Spectral width |
|
2666 | #Spectral width | |
| 2664 | # acf1 = ndimage.median_filter(numpy.abs(data_acf[:,1,:,:]), size = (1,5,1)) |
|
2667 | # acf1 = ndimage.median_filter(numpy.abs(data_acf[:,1,:,:]), size = (1,5,1)) | |
| 2665 | # acf2 = ndimage.median_filter(numpy.abs(data_acf[:,2,:,:]), size = (1,5,1)) |
|
2668 | # acf2 = ndimage.median_filter(numpy.abs(data_acf[:,2,:,:]), size = (1,5,1)) | |
| 2666 | acf1 = data_acf[:,1,:,:] |
|
2669 | acf1 = data_acf[:,1,:,:] | |
| 2667 | acf2 = data_acf[:,2,:,:] |
|
2670 | acf2 = data_acf[:,2,:,:] | |
| 2668 |
|
2671 | |||
| 2669 | spcWidth = (lamb/(2*numpy.sqrt(6)*numpy.pi*tSamp))*numpy.sqrt(numpy.log(acf1/acf2)) |
|
2672 | spcWidth = (lamb/(2*numpy.sqrt(6)*numpy.pi*tSamp))*numpy.sqrt(numpy.log(acf1/acf2)) | |
| 2670 | # velRad = ndimage.median_filter(velRad, size = (1,5,1)) |
|
2673 | # velRad = ndimage.median_filter(velRad, size = (1,5,1)) | |
| 2671 | if allData: |
|
2674 | if allData: | |
| 2672 | boolMetFin = ~numpy.isnan(SNRdB) |
|
2675 | boolMetFin = ~numpy.isnan(SNRdB) | |
| 2673 | else: |
|
2676 | else: | |
| 2674 | #SNR |
|
2677 | #SNR | |
| 2675 | boolMet1 = (SNRdB>SNRthresh) #SNR mask |
|
2678 | boolMet1 = (SNRdB>SNRthresh) #SNR mask | |
| 2676 | boolMet1 = ndimage.median_filter(boolMet1, size=(1,5,5)) |
|
2679 | boolMet1 = ndimage.median_filter(boolMet1, size=(1,5,5)) | |
| 2677 |
|
2680 | |||
| 2678 | #Radial velocity |
|
2681 | #Radial velocity | |
| 2679 | boolMet2 = numpy.abs(velRad) < 20 |
|
2682 | boolMet2 = numpy.abs(velRad) < 20 | |
| 2680 | boolMet2 = ndimage.median_filter(boolMet2, (1,5,5)) |
|
2683 | boolMet2 = ndimage.median_filter(boolMet2, (1,5,5)) | |
| 2681 |
|
2684 | |||
| 2682 | #Spectral Width |
|
2685 | #Spectral Width | |
| 2683 | boolMet3 = spcWidth < 30 |
|
2686 | boolMet3 = spcWidth < 30 | |
| 2684 | boolMet3 = ndimage.median_filter(boolMet3, (1,5,5)) |
|
2687 | boolMet3 = ndimage.median_filter(boolMet3, (1,5,5)) | |
| 2685 | # boolMetFin = self.__erase_small(boolMet1, 10,5) |
|
2688 | # boolMetFin = self.__erase_small(boolMet1, 10,5) | |
| 2686 | boolMetFin = boolMet1&boolMet2&boolMet3 |
|
2689 | boolMetFin = boolMet1&boolMet2&boolMet3 | |
| 2687 |
|
2690 | |||
| 2688 | #Creating data_param |
|
2691 | #Creating data_param | |
| 2689 | coordMet = numpy.where(boolMetFin) |
|
2692 | coordMet = numpy.where(boolMetFin) | |
| 2690 |
|
2693 | |||
| 2691 | cmet = coordMet[0] |
|
2694 | cmet = coordMet[0] | |
| 2692 | tmet = coordMet[1] |
|
2695 | tmet = coordMet[1] | |
| 2693 | hmet = coordMet[2] |
|
2696 | hmet = coordMet[2] | |
| 2694 |
|
2697 | |||
| 2695 | data_param = numpy.zeros((tmet.size, 7)) |
|
2698 | data_param = numpy.zeros((tmet.size, 7)) | |
| 2696 | data_param[:,0] = utctime |
|
2699 | data_param[:,0] = utctime | |
| 2697 | data_param[:,1] = cmet |
|
2700 | data_param[:,1] = cmet | |
| 2698 | data_param[:,2] = tmet |
|
2701 | data_param[:,2] = tmet | |
| 2699 | data_param[:,3] = hmet |
|
2702 | data_param[:,3] = hmet | |
| 2700 | data_param[:,4] = SNR[cmet,tmet,hmet].T |
|
2703 | data_param[:,4] = SNR[cmet,tmet,hmet].T | |
| 2701 | data_param[:,5] = velRad[cmet,tmet,hmet].T |
|
2704 | data_param[:,5] = velRad[cmet,tmet,hmet].T | |
| 2702 | data_param[:,6] = spcWidth[cmet,tmet,hmet].T |
|
2705 | data_param[:,6] = spcWidth[cmet,tmet,hmet].T | |
| 2703 |
|
2706 | |||
| 2704 | # self.dataOut.data_param = data_int |
|
2707 | # self.dataOut.data_param = data_int | |
| 2705 | if len(data_param) == 0: |
|
2708 | if len(data_param) == 0: | |
| 2706 | dataOut.flagNoData = True |
|
2709 | dataOut.flagNoData = True | |
| 2707 | else: |
|
2710 | else: | |
| 2708 | dataOut.data_param = data_param |
|
2711 | dataOut.data_param = data_param | |
| 2709 |
|
2712 | |||
| 2710 | def __erase_small(self, binArray, threshX, threshY): |
|
2713 | def __erase_small(self, binArray, threshX, threshY): | |
| 2711 | labarray, numfeat = ndimage.measurements.label(binArray) |
|
2714 | labarray, numfeat = ndimage.measurements.label(binArray) | |
| 2712 | binArray1 = numpy.copy(binArray) |
|
2715 | binArray1 = numpy.copy(binArray) | |
| 2713 |
|
2716 | |||
| 2714 | for i in range(1,numfeat + 1): |
|
2717 | for i in range(1,numfeat + 1): | |
| 2715 | auxBin = (labarray==i) |
|
2718 | auxBin = (labarray==i) | |
| 2716 | auxSize = auxBin.sum() |
|
2719 | auxSize = auxBin.sum() | |
| 2717 |
|
2720 | |||
| 2718 | x,y = numpy.where(auxBin) |
|
2721 | x,y = numpy.where(auxBin) | |
| 2719 | widthX = x.max() - x.min() |
|
2722 | widthX = x.max() - x.min() | |
| 2720 | widthY = y.max() - y.min() |
|
2723 | widthY = y.max() - y.min() | |
| 2721 |
|
2724 | |||
| 2722 | #width X: 3 seg -> 12.5*3 |
|
2725 | #width X: 3 seg -> 12.5*3 | |
| 2723 | #width Y: |
|
2726 | #width Y: | |
| 2724 |
|
2727 | |||
| 2725 | if (auxSize < 50) or (widthX < threshX) or (widthY < threshY): |
|
2728 | if (auxSize < 50) or (widthX < threshX) or (widthY < threshY): | |
| 2726 | binArray1[auxBin] = False |
|
2729 | binArray1[auxBin] = False | |
| 2727 |
|
2730 | |||
| 2728 | return binArray1 |
|
2731 | return binArray1 | |
| 2729 |
|
2732 | |||
| 2730 | #--------------- Specular Meteor ---------------- |
|
2733 | #--------------- Specular Meteor ---------------- | |
| 2731 |
|
2734 | |||
| 2732 | class SMDetection(Operation): |
|
2735 | class SMDetection(Operation): | |
| 2733 | ''' |
|
2736 | ''' | |
| 2734 | Function DetectMeteors() |
|
2737 | Function DetectMeteors() | |
| 2735 | Project developed with paper: |
|
2738 | Project developed with paper: | |
| 2736 | HOLDSWORTH ET AL. 2004 |
|
2739 | HOLDSWORTH ET AL. 2004 | |
| 2737 |
|
2740 | |||
| 2738 | Input: |
|
2741 | Input: | |
| 2739 | self.dataOut.data_pre |
|
2742 | self.dataOut.data_pre | |
| 2740 |
|
2743 | |||
| 2741 | centerReceiverIndex: From the channels, which is the center receiver |
|
2744 | centerReceiverIndex: From the channels, which is the center receiver | |
| 2742 |
|
2745 | |||
| 2743 | hei_ref: Height reference for the Beacon signal extraction |
|
2746 | hei_ref: Height reference for the Beacon signal extraction | |
| 2744 | tauindex: |
|
2747 | tauindex: | |
| 2745 | predefinedPhaseShifts: Predefined phase offset for the voltge signals |
|
2748 | predefinedPhaseShifts: Predefined phase offset for the voltge signals | |
| 2746 |
|
2749 | |||
| 2747 | cohDetection: Whether to user Coherent detection or not |
|
2750 | cohDetection: Whether to user Coherent detection or not | |
| 2748 | cohDet_timeStep: Coherent Detection calculation time step |
|
2751 | cohDet_timeStep: Coherent Detection calculation time step | |
| 2749 | cohDet_thresh: Coherent Detection phase threshold to correct phases |
|
2752 | cohDet_thresh: Coherent Detection phase threshold to correct phases | |
| 2750 |
|
2753 | |||
| 2751 | noise_timeStep: Noise calculation time step |
|
2754 | noise_timeStep: Noise calculation time step | |
| 2752 | noise_multiple: Noise multiple to define signal threshold |
|
2755 | noise_multiple: Noise multiple to define signal threshold | |
| 2753 |
|
2756 | |||
| 2754 | multDet_timeLimit: Multiple Detection Removal time limit in seconds |
|
2757 | multDet_timeLimit: Multiple Detection Removal time limit in seconds | |
| 2755 | multDet_rangeLimit: Multiple Detection Removal range limit in km |
|
2758 | multDet_rangeLimit: Multiple Detection Removal range limit in km | |
| 2756 |
|
2759 | |||
| 2757 | phaseThresh: Maximum phase difference between receiver to be consider a meteor |
|
2760 | phaseThresh: Maximum phase difference between receiver to be consider a meteor | |
| 2758 | SNRThresh: Minimum SNR threshold of the meteor signal to be consider a meteor |
|
2761 | SNRThresh: Minimum SNR threshold of the meteor signal to be consider a meteor | |
| 2759 |
|
2762 | |||
| 2760 | hmin: Minimum Height of the meteor to use it in the further wind estimations |
|
2763 | hmin: Minimum Height of the meteor to use it in the further wind estimations | |
| 2761 | hmax: Maximum Height of the meteor to use it in the further wind estimations |
|
2764 | hmax: Maximum Height of the meteor to use it in the further wind estimations | |
| 2762 | azimuth: Azimuth angle correction |
|
2765 | azimuth: Azimuth angle correction | |
| 2763 |
|
2766 | |||
| 2764 | Affected: |
|
2767 | Affected: | |
| 2765 | self.dataOut.data_param |
|
2768 | self.dataOut.data_param | |
| 2766 |
|
2769 | |||
| 2767 | Rejection Criteria (Errors): |
|
2770 | Rejection Criteria (Errors): | |
| 2768 | 0: No error; analysis OK |
|
2771 | 0: No error; analysis OK | |
| 2769 | 1: SNR < SNR threshold |
|
2772 | 1: SNR < SNR threshold | |
| 2770 | 2: angle of arrival (AOA) ambiguously determined |
|
2773 | 2: angle of arrival (AOA) ambiguously determined | |
| 2771 | 3: AOA estimate not feasible |
|
2774 | 3: AOA estimate not feasible | |
| 2772 | 4: Large difference in AOAs obtained from different antenna baselines |
|
2775 | 4: Large difference in AOAs obtained from different antenna baselines | |
| 2773 | 5: echo at start or end of time series |
|
2776 | 5: echo at start or end of time series | |
| 2774 | 6: echo less than 5 examples long; too short for analysis |
|
2777 | 6: echo less than 5 examples long; too short for analysis | |
| 2775 | 7: echo rise exceeds 0.3s |
|
2778 | 7: echo rise exceeds 0.3s | |
| 2776 | 8: echo decay time less than twice rise time |
|
2779 | 8: echo decay time less than twice rise time | |
| 2777 | 9: large power level before echo |
|
2780 | 9: large power level before echo | |
| 2778 | 10: large power level after echo |
|
2781 | 10: large power level after echo | |
| 2779 | 11: poor fit to amplitude for estimation of decay time |
|
2782 | 11: poor fit to amplitude for estimation of decay time | |
| 2780 | 12: poor fit to CCF phase variation for estimation of radial drift velocity |
|
2783 | 12: poor fit to CCF phase variation for estimation of radial drift velocity | |
| 2781 | 13: height unresolvable echo: not valid height within 70 to 110 km |
|
2784 | 13: height unresolvable echo: not valid height within 70 to 110 km | |
| 2782 | 14: height ambiguous echo: more then one possible height within 70 to 110 km |
|
2785 | 14: height ambiguous echo: more then one possible height within 70 to 110 km | |
| 2783 | 15: radial drift velocity or projected horizontal velocity exceeds 200 m/s |
|
2786 | 15: radial drift velocity or projected horizontal velocity exceeds 200 m/s | |
| 2784 | 16: oscilatory echo, indicating event most likely not an underdense echo |
|
2787 | 16: oscilatory echo, indicating event most likely not an underdense echo | |
| 2785 |
|
2788 | |||
| 2786 | 17: phase difference in meteor Reestimation |
|
2789 | 17: phase difference in meteor Reestimation | |
| 2787 |
|
2790 | |||
| 2788 | Data Storage: |
|
2791 | Data Storage: | |
| 2789 | Meteors for Wind Estimation (8): |
|
2792 | Meteors for Wind Estimation (8): | |
| 2790 | Utc Time | Range Height |
|
2793 | Utc Time | Range Height | |
| 2791 | Azimuth Zenith errorCosDir |
|
2794 | Azimuth Zenith errorCosDir | |
| 2792 | VelRad errorVelRad |
|
2795 | VelRad errorVelRad | |
| 2793 | Phase0 Phase1 Phase2 Phase3 |
|
2796 | Phase0 Phase1 Phase2 Phase3 | |
| 2794 | TypeError |
|
2797 | TypeError | |
| 2795 |
|
2798 | |||
| 2796 | ''' |
|
2799 | ''' | |
| 2797 |
|
2800 | |||
| 2798 | def run(self, dataOut, hei_ref = None, tauindex = 0, |
|
2801 | def run(self, dataOut, hei_ref = None, tauindex = 0, | |
| 2799 | phaseOffsets = None, |
|
2802 | phaseOffsets = None, | |
| 2800 | cohDetection = False, cohDet_timeStep = 1, cohDet_thresh = 25, |
|
2803 | cohDetection = False, cohDet_timeStep = 1, cohDet_thresh = 25, | |
| 2801 | noise_timeStep = 4, noise_multiple = 4, |
|
2804 | noise_timeStep = 4, noise_multiple = 4, | |
| 2802 | multDet_timeLimit = 1, multDet_rangeLimit = 3, |
|
2805 | multDet_timeLimit = 1, multDet_rangeLimit = 3, | |
| 2803 | phaseThresh = 20, SNRThresh = 5, |
|
2806 | phaseThresh = 20, SNRThresh = 5, | |
| 2804 | hmin = 50, hmax=150, azimuth = 0, |
|
2807 | hmin = 50, hmax=150, azimuth = 0, | |
| 2805 | channelPositions = None) : |
|
2808 | channelPositions = None) : | |
| 2806 |
|
2809 | |||
| 2807 |
|
2810 | |||
| 2808 | #Getting Pairslist |
|
2811 | #Getting Pairslist | |
| 2809 | if channelPositions == None: |
|
2812 | if channelPositions == None: | |
| 2810 | # channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)] #T |
|
2813 | # channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)] #T | |
| 2811 | channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)] #Estrella |
|
2814 | channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)] #Estrella | |
| 2812 | meteorOps = SMOperations() |
|
2815 | meteorOps = SMOperations() | |
| 2813 | pairslist0, distances = meteorOps.getPhasePairs(channelPositions) |
|
2816 | pairslist0, distances = meteorOps.getPhasePairs(channelPositions) | |
| 2814 | heiRang = dataOut.getHeiRange() |
|
2817 | heiRang = dataOut.getHeiRange() | |
| 2815 | #Get Beacon signal - No Beacon signal anymore |
|
2818 | #Get Beacon signal - No Beacon signal anymore | |
| 2816 | # newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) |
|
2819 | # newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) | |
| 2817 | # |
|
2820 | # | |
| 2818 | # if hei_ref != None: |
|
2821 | # if hei_ref != None: | |
| 2819 | # newheis = numpy.where(self.dataOut.heightList>hei_ref) |
|
2822 | # newheis = numpy.where(self.dataOut.heightList>hei_ref) | |
| 2820 | # |
|
2823 | # | |
| 2821 |
|
2824 | |||
| 2822 |
|
2825 | |||
| 2823 | #****************REMOVING HARDWARE PHASE DIFFERENCES*************** |
|
2826 | #****************REMOVING HARDWARE PHASE DIFFERENCES*************** | |
| 2824 | # see if the user put in pre defined phase shifts |
|
2827 | # see if the user put in pre defined phase shifts | |
| 2825 | voltsPShift = dataOut.data_pre.copy() |
|
2828 | voltsPShift = dataOut.data_pre.copy() | |
| 2826 |
|
2829 | |||
| 2827 | # if predefinedPhaseShifts != None: |
|
2830 | # if predefinedPhaseShifts != None: | |
| 2828 | # hardwarePhaseShifts = numpy.array(predefinedPhaseShifts)*numpy.pi/180 |
|
2831 | # hardwarePhaseShifts = numpy.array(predefinedPhaseShifts)*numpy.pi/180 | |
| 2829 | # |
|
2832 | # | |
| 2830 | # # elif beaconPhaseShifts: |
|
2833 | # # elif beaconPhaseShifts: | |
| 2831 | # # #get hardware phase shifts using beacon signal |
|
2834 | # # #get hardware phase shifts using beacon signal | |
| 2832 | # # hardwarePhaseShifts = self.__getHardwarePhaseDiff(self.dataOut.data_pre, pairslist, newheis, 10) |
|
2835 | # # hardwarePhaseShifts = self.__getHardwarePhaseDiff(self.dataOut.data_pre, pairslist, newheis, 10) | |
| 2833 | # # hardwarePhaseShifts = numpy.insert(hardwarePhaseShifts,centerReceiverIndex,0) |
|
2836 | # # hardwarePhaseShifts = numpy.insert(hardwarePhaseShifts,centerReceiverIndex,0) | |
| 2834 | # |
|
2837 | # | |
| 2835 | # else: |
|
2838 | # else: | |
| 2836 | # hardwarePhaseShifts = numpy.zeros(5) |
|
2839 | # hardwarePhaseShifts = numpy.zeros(5) | |
| 2837 | # |
|
2840 | # | |
| 2838 | # voltsPShift = numpy.zeros((self.dataOut.data_pre.shape[0],self.dataOut.data_pre.shape[1],self.dataOut.data_pre.shape[2]), dtype = 'complex') |
|
2841 | # voltsPShift = numpy.zeros((self.dataOut.data_pre.shape[0],self.dataOut.data_pre.shape[1],self.dataOut.data_pre.shape[2]), dtype = 'complex') | |
| 2839 | # for i in range(self.dataOut.data_pre.shape[0]): |
|
2842 | # for i in range(self.dataOut.data_pre.shape[0]): | |
| 2840 | # voltsPShift[i,:,:] = self.__shiftPhase(self.dataOut.data_pre[i,:,:], hardwarePhaseShifts[i]) |
|
2843 | # voltsPShift[i,:,:] = self.__shiftPhase(self.dataOut.data_pre[i,:,:], hardwarePhaseShifts[i]) | |
| 2841 |
|
2844 | |||
| 2842 | #******************END OF REMOVING HARDWARE PHASE DIFFERENCES********* |
|
2845 | #******************END OF REMOVING HARDWARE PHASE DIFFERENCES********* | |
| 2843 |
|
2846 | |||
| 2844 | #Remove DC |
|
2847 | #Remove DC | |
| 2845 | voltsDC = numpy.mean(voltsPShift,1) |
|
2848 | voltsDC = numpy.mean(voltsPShift,1) | |
| 2846 | voltsDC = numpy.mean(voltsDC,1) |
|
2849 | voltsDC = numpy.mean(voltsDC,1) | |
| 2847 | for i in range(voltsDC.shape[0]): |
|
2850 | for i in range(voltsDC.shape[0]): | |
| 2848 | voltsPShift[i] = voltsPShift[i] - voltsDC[i] |
|
2851 | voltsPShift[i] = voltsPShift[i] - voltsDC[i] | |
| 2849 |
|
2852 | |||
| 2850 | #Don't considerate last heights, theyre used to calculate Hardware Phase Shift |
|
2853 | #Don't considerate last heights, theyre used to calculate Hardware Phase Shift | |
| 2851 | # voltsPShift = voltsPShift[:,:,:newheis[0][0]] |
|
2854 | # voltsPShift = voltsPShift[:,:,:newheis[0][0]] | |
| 2852 |
|
2855 | |||
| 2853 | #************ FIND POWER OF DATA W/COH OR NON COH DETECTION (3.4) ********** |
|
2856 | #************ FIND POWER OF DATA W/COH OR NON COH DETECTION (3.4) ********** | |
| 2854 | #Coherent Detection |
|
2857 | #Coherent Detection | |
| 2855 | if cohDetection: |
|
2858 | if cohDetection: | |
| 2856 | #use coherent detection to get the net power |
|
2859 | #use coherent detection to get the net power | |
| 2857 | cohDet_thresh = cohDet_thresh*numpy.pi/180 |
|
2860 | cohDet_thresh = cohDet_thresh*numpy.pi/180 | |
| 2858 | voltsPShift = self.__coherentDetection(voltsPShift, cohDet_timeStep, dataOut.timeInterval, pairslist0, cohDet_thresh) |
|
2861 | voltsPShift = self.__coherentDetection(voltsPShift, cohDet_timeStep, dataOut.timeInterval, pairslist0, cohDet_thresh) | |
| 2859 |
|
2862 | |||
| 2860 | #Non-coherent detection! |
|
2863 | #Non-coherent detection! | |
| 2861 | powerNet = numpy.nansum(numpy.abs(voltsPShift[:,:,:])**2,0) |
|
2864 | powerNet = numpy.nansum(numpy.abs(voltsPShift[:,:,:])**2,0) | |
| 2862 | #********** END OF COH/NON-COH POWER CALCULATION********************** |
|
2865 | #********** END OF COH/NON-COH POWER CALCULATION********************** | |
| 2863 |
|
2866 | |||
| 2864 | #********** FIND THE NOISE LEVEL AND POSSIBLE METEORS **************** |
|
2867 | #********** FIND THE NOISE LEVEL AND POSSIBLE METEORS **************** | |
| 2865 | #Get noise |
|
2868 | #Get noise | |
| 2866 | noise, noise1 = self.__getNoise(powerNet, noise_timeStep, dataOut.timeInterval) |
|
2869 | noise, noise1 = self.__getNoise(powerNet, noise_timeStep, dataOut.timeInterval) | |
| 2867 | # noise = self.getNoise1(powerNet, noise_timeStep, self.dataOut.timeInterval) |
|
2870 | # noise = self.getNoise1(powerNet, noise_timeStep, self.dataOut.timeInterval) | |
| 2868 | #Get signal threshold |
|
2871 | #Get signal threshold | |
| 2869 | signalThresh = noise_multiple*noise |
|
2872 | signalThresh = noise_multiple*noise | |
| 2870 | #Meteor echoes detection |
|
2873 | #Meteor echoes detection | |
| 2871 | listMeteors = self.__findMeteors(powerNet, signalThresh) |
|
2874 | listMeteors = self.__findMeteors(powerNet, signalThresh) | |
| 2872 | #******* END OF NOISE LEVEL AND POSSIBLE METEORS CACULATION ********** |
|
2875 | #******* END OF NOISE LEVEL AND POSSIBLE METEORS CACULATION ********** | |
| 2873 |
|
2876 | |||
| 2874 | #************** REMOVE MULTIPLE DETECTIONS (3.5) *************************** |
|
2877 | #************** REMOVE MULTIPLE DETECTIONS (3.5) *************************** | |
| 2875 | #Parameters |
|
2878 | #Parameters | |
| 2876 | heiRange = dataOut.getHeiRange() |
|
2879 | heiRange = dataOut.getHeiRange() | |
| 2877 | rangeInterval = heiRange[1] - heiRange[0] |
|
2880 | rangeInterval = heiRange[1] - heiRange[0] | |
| 2878 | rangeLimit = multDet_rangeLimit/rangeInterval |
|
2881 | rangeLimit = multDet_rangeLimit/rangeInterval | |
| 2879 | timeLimit = multDet_timeLimit/dataOut.timeInterval |
|
2882 | timeLimit = multDet_timeLimit/dataOut.timeInterval | |
| 2880 | #Multiple detection removals |
|
2883 | #Multiple detection removals | |
| 2881 | listMeteors1 = self.__removeMultipleDetections(listMeteors, rangeLimit, timeLimit) |
|
2884 | listMeteors1 = self.__removeMultipleDetections(listMeteors, rangeLimit, timeLimit) | |
| 2882 | #************ END OF REMOVE MULTIPLE DETECTIONS ********************** |
|
2885 | #************ END OF REMOVE MULTIPLE DETECTIONS ********************** | |
| 2883 |
|
2886 | |||
| 2884 | #********************* METEOR REESTIMATION (3.7, 3.8, 3.9, 3.10) ******************** |
|
2887 | #********************* METEOR REESTIMATION (3.7, 3.8, 3.9, 3.10) ******************** | |
| 2885 | #Parameters |
|
2888 | #Parameters | |
| 2886 | phaseThresh = phaseThresh*numpy.pi/180 |
|
2889 | phaseThresh = phaseThresh*numpy.pi/180 | |
| 2887 | thresh = [phaseThresh, noise_multiple, SNRThresh] |
|
2890 | thresh = [phaseThresh, noise_multiple, SNRThresh] | |
| 2888 | #Meteor reestimation (Errors N 1, 6, 12, 17) |
|
2891 | #Meteor reestimation (Errors N 1, 6, 12, 17) | |
| 2889 | listMeteors2, listMeteorsPower, listMeteorsVolts = self.__meteorReestimation(listMeteors1, voltsPShift, pairslist0, thresh, noise, dataOut.timeInterval, dataOut.frequency) |
|
2892 | listMeteors2, listMeteorsPower, listMeteorsVolts = self.__meteorReestimation(listMeteors1, voltsPShift, pairslist0, thresh, noise, dataOut.timeInterval, dataOut.frequency) | |
| 2890 | # listMeteors2, listMeteorsPower, listMeteorsVolts = self.meteorReestimation3(listMeteors2, listMeteorsPower, listMeteorsVolts, voltsPShift, pairslist, thresh, noise) |
|
2893 | # listMeteors2, listMeteorsPower, listMeteorsVolts = self.meteorReestimation3(listMeteors2, listMeteorsPower, listMeteorsVolts, voltsPShift, pairslist, thresh, noise) | |
| 2891 | #Estimation of decay times (Errors N 7, 8, 11) |
|
2894 | #Estimation of decay times (Errors N 7, 8, 11) | |
| 2892 | listMeteors3 = self.__estimateDecayTime(listMeteors2, listMeteorsPower, dataOut.timeInterval, dataOut.frequency) |
|
2895 | listMeteors3 = self.__estimateDecayTime(listMeteors2, listMeteorsPower, dataOut.timeInterval, dataOut.frequency) | |
| 2893 | #******************* END OF METEOR REESTIMATION ******************* |
|
2896 | #******************* END OF METEOR REESTIMATION ******************* | |
| 2894 |
|
2897 | |||
| 2895 | #********************* METEOR PARAMETERS CALCULATION (3.11, 3.12, 3.13) ************************** |
|
2898 | #********************* METEOR PARAMETERS CALCULATION (3.11, 3.12, 3.13) ************************** | |
| 2896 | #Calculating Radial Velocity (Error N 15) |
|
2899 | #Calculating Radial Velocity (Error N 15) | |
| 2897 | radialStdThresh = 10 |
|
2900 | radialStdThresh = 10 | |
| 2898 | listMeteors4 = self.__getRadialVelocity(listMeteors3, listMeteorsVolts, radialStdThresh, pairslist0, dataOut.timeInterval) |
|
2901 | listMeteors4 = self.__getRadialVelocity(listMeteors3, listMeteorsVolts, radialStdThresh, pairslist0, dataOut.timeInterval) | |
| 2899 |
|
2902 | |||
| 2900 | if len(listMeteors4) > 0: |
|
2903 | if len(listMeteors4) > 0: | |
| 2901 | #Setting New Array |
|
2904 | #Setting New Array | |
| 2902 | date = dataOut.utctime |
|
2905 | date = dataOut.utctime | |
| 2903 | arrayParameters = self.__setNewArrays(listMeteors4, date, heiRang) |
|
2906 | arrayParameters = self.__setNewArrays(listMeteors4, date, heiRang) | |
| 2904 |
|
2907 | |||
| 2905 | #Correcting phase offset |
|
2908 | #Correcting phase offset | |
| 2906 | if phaseOffsets != None: |
|
2909 | if phaseOffsets != None: | |
| 2907 | phaseOffsets = numpy.array(phaseOffsets)*numpy.pi/180 |
|
2910 | phaseOffsets = numpy.array(phaseOffsets)*numpy.pi/180 | |
| 2908 | arrayParameters[:,8:12] = numpy.unwrap(arrayParameters[:,8:12] + phaseOffsets) |
|
2911 | arrayParameters[:,8:12] = numpy.unwrap(arrayParameters[:,8:12] + phaseOffsets) | |
| 2909 |
|
2912 | |||
| 2910 | #Second Pairslist |
|
2913 | #Second Pairslist | |
| 2911 | pairsList = [] |
|
2914 | pairsList = [] | |
| 2912 | pairx = (0,1) |
|
2915 | pairx = (0,1) | |
| 2913 | pairy = (2,3) |
|
2916 | pairy = (2,3) | |
| 2914 | pairsList.append(pairx) |
|
2917 | pairsList.append(pairx) | |
| 2915 | pairsList.append(pairy) |
|
2918 | pairsList.append(pairy) | |
| 2916 |
|
2919 | |||
| 2917 | jph = numpy.array([0,0,0,0]) |
|
2920 | jph = numpy.array([0,0,0,0]) | |
| 2918 | h = (hmin,hmax) |
|
2921 | h = (hmin,hmax) | |
| 2919 | arrayParameters = meteorOps.getMeteorParams(arrayParameters, azimuth, h, pairsList, distances, jph) |
|
2922 | arrayParameters = meteorOps.getMeteorParams(arrayParameters, azimuth, h, pairsList, distances, jph) | |
| 2920 |
|
2923 | |||
| 2921 | # #Calculate AOA (Error N 3, 4) |
|
2924 | # #Calculate AOA (Error N 3, 4) | |
| 2922 | # #JONES ET AL. 1998 |
|
2925 | # #JONES ET AL. 1998 | |
| 2923 | # error = arrayParameters[:,-1] |
|
2926 | # error = arrayParameters[:,-1] | |
| 2924 | # AOAthresh = numpy.pi/8 |
|
2927 | # AOAthresh = numpy.pi/8 | |
| 2925 | # phases = -arrayParameters[:,9:13] |
|
2928 | # phases = -arrayParameters[:,9:13] | |
| 2926 | # arrayParameters[:,4:7], arrayParameters[:,-1] = meteorOps.getAOA(phases, pairsList, error, AOAthresh, azimuth) |
|
2929 | # arrayParameters[:,4:7], arrayParameters[:,-1] = meteorOps.getAOA(phases, pairsList, error, AOAthresh, azimuth) | |
| 2927 | # |
|
2930 | # | |
| 2928 | # #Calculate Heights (Error N 13 and 14) |
|
2931 | # #Calculate Heights (Error N 13 and 14) | |
| 2929 | # error = arrayParameters[:,-1] |
|
2932 | # error = arrayParameters[:,-1] | |
| 2930 | # Ranges = arrayParameters[:,2] |
|
2933 | # Ranges = arrayParameters[:,2] | |
| 2931 | # zenith = arrayParameters[:,5] |
|
2934 | # zenith = arrayParameters[:,5] | |
| 2932 | # arrayParameters[:,3], arrayParameters[:,-1] = meteorOps.getHeights(Ranges, zenith, error, hmin, hmax) |
|
2935 | # arrayParameters[:,3], arrayParameters[:,-1] = meteorOps.getHeights(Ranges, zenith, error, hmin, hmax) | |
| 2933 | # error = arrayParameters[:,-1] |
|
2936 | # error = arrayParameters[:,-1] | |
| 2934 | #********************* END OF PARAMETERS CALCULATION ************************** |
|
2937 | #********************* END OF PARAMETERS CALCULATION ************************** | |
| 2935 |
|
2938 | |||
| 2936 | #***************************+ PASS DATA TO NEXT STEP ********************** |
|
2939 | #***************************+ PASS DATA TO NEXT STEP ********************** | |
| 2937 | # arrayFinal = arrayParameters.reshape((1,arrayParameters.shape[0],arrayParameters.shape[1])) |
|
2940 | # arrayFinal = arrayParameters.reshape((1,arrayParameters.shape[0],arrayParameters.shape[1])) | |
| 2938 | dataOut.data_param = arrayParameters |
|
2941 | dataOut.data_param = arrayParameters | |
| 2939 |
|
2942 | |||
| 2940 | if arrayParameters == None: |
|
2943 | if arrayParameters == None: | |
| 2941 | dataOut.flagNoData = True |
|
2944 | dataOut.flagNoData = True | |
| 2942 | else: |
|
2945 | else: | |
| 2943 | dataOut.flagNoData = True |
|
2946 | dataOut.flagNoData = True | |
| 2944 |
|
2947 | |||
| 2945 | return |
|
2948 | return | |
| 2946 |
|
2949 | |||
| 2947 | def __getHardwarePhaseDiff(self, voltage0, pairslist, newheis, n): |
|
2950 | def __getHardwarePhaseDiff(self, voltage0, pairslist, newheis, n): | |
| 2948 |
|
2951 | |||
| 2949 | minIndex = min(newheis[0]) |
|
2952 | minIndex = min(newheis[0]) | |
| 2950 | maxIndex = max(newheis[0]) |
|
2953 | maxIndex = max(newheis[0]) | |
| 2951 |
|
2954 | |||
| 2952 | voltage = voltage0[:,:,minIndex:maxIndex+1] |
|
2955 | voltage = voltage0[:,:,minIndex:maxIndex+1] | |
| 2953 | nLength = voltage.shape[1]/n |
|
2956 | nLength = voltage.shape[1]/n | |
| 2954 | nMin = 0 |
|
2957 | nMin = 0 | |
| 2955 | nMax = 0 |
|
2958 | nMax = 0 | |
| 2956 | phaseOffset = numpy.zeros((len(pairslist),n)) |
|
2959 | phaseOffset = numpy.zeros((len(pairslist),n)) | |
| 2957 |
|
2960 | |||
| 2958 | for i in range(n): |
|
2961 | for i in range(n): | |
| 2959 | nMax += nLength |
|
2962 | nMax += nLength | |
| 2960 | phaseCCF = -numpy.angle(self.__calculateCCF(voltage[:,nMin:nMax,:], pairslist, [0])) |
|
2963 | phaseCCF = -numpy.angle(self.__calculateCCF(voltage[:,nMin:nMax,:], pairslist, [0])) | |
| 2961 | phaseCCF = numpy.mean(phaseCCF, axis = 2) |
|
2964 | phaseCCF = numpy.mean(phaseCCF, axis = 2) | |
| 2962 | phaseOffset[:,i] = phaseCCF.transpose() |
|
2965 | phaseOffset[:,i] = phaseCCF.transpose() | |
| 2963 | nMin = nMax |
|
2966 | nMin = nMax | |
| 2964 | # phaseDiff, phaseArrival = self.estimatePhaseDifference(voltage, pairslist) |
|
2967 | # phaseDiff, phaseArrival = self.estimatePhaseDifference(voltage, pairslist) | |
| 2965 |
|
2968 | |||
| 2966 | #Remove Outliers |
|
2969 | #Remove Outliers | |
| 2967 | factor = 2 |
|
2970 | factor = 2 | |
| 2968 | wt = phaseOffset - signal.medfilt(phaseOffset,(1,5)) |
|
2971 | wt = phaseOffset - signal.medfilt(phaseOffset,(1,5)) | |
| 2969 | dw = numpy.std(wt,axis = 1) |
|
2972 | dw = numpy.std(wt,axis = 1) | |
| 2970 | dw = dw.reshape((dw.size,1)) |
|
2973 | dw = dw.reshape((dw.size,1)) | |
| 2971 | ind = numpy.where(numpy.logical_or(wt>dw*factor,wt<-dw*factor)) |
|
2974 | ind = numpy.where(numpy.logical_or(wt>dw*factor,wt<-dw*factor)) | |
| 2972 | phaseOffset[ind] = numpy.nan |
|
2975 | phaseOffset[ind] = numpy.nan | |
| 2973 | phaseOffset = stats.nanmean(phaseOffset, axis=1) |
|
2976 | phaseOffset = stats.nanmean(phaseOffset, axis=1) | |
| 2974 |
|
2977 | |||
| 2975 | return phaseOffset |
|
2978 | return phaseOffset | |
| 2976 |
|
2979 | |||
| 2977 | def __shiftPhase(self, data, phaseShift): |
|
2980 | def __shiftPhase(self, data, phaseShift): | |
| 2978 | #this will shift the phase of a complex number |
|
2981 | #this will shift the phase of a complex number | |
| 2979 | dataShifted = numpy.abs(data) * numpy.exp((numpy.angle(data)+phaseShift)*1j) |
|
2982 | dataShifted = numpy.abs(data) * numpy.exp((numpy.angle(data)+phaseShift)*1j) | |
| 2980 | return dataShifted |
|
2983 | return dataShifted | |
| 2981 |
|
2984 | |||
| 2982 | def __estimatePhaseDifference(self, array, pairslist): |
|
2985 | def __estimatePhaseDifference(self, array, pairslist): | |
| 2983 | nChannel = array.shape[0] |
|
2986 | nChannel = array.shape[0] | |
| 2984 | nHeights = array.shape[2] |
|
2987 | nHeights = array.shape[2] | |
| 2985 | numPairs = len(pairslist) |
|
2988 | numPairs = len(pairslist) | |
| 2986 | # phaseCCF = numpy.zeros((nChannel, 5, nHeights)) |
|
2989 | # phaseCCF = numpy.zeros((nChannel, 5, nHeights)) | |
| 2987 | phaseCCF = numpy.angle(self.__calculateCCF(array, pairslist, [-2,-1,0,1,2])) |
|
2990 | phaseCCF = numpy.angle(self.__calculateCCF(array, pairslist, [-2,-1,0,1,2])) | |
| 2988 |
|
2991 | |||
| 2989 | #Correct phases |
|
2992 | #Correct phases | |
| 2990 | derPhaseCCF = phaseCCF[:,1:,:] - phaseCCF[:,0:-1,:] |
|
2993 | derPhaseCCF = phaseCCF[:,1:,:] - phaseCCF[:,0:-1,:] | |
| 2991 | indDer = numpy.where(numpy.abs(derPhaseCCF) > numpy.pi) |
|
2994 | indDer = numpy.where(numpy.abs(derPhaseCCF) > numpy.pi) | |
| 2992 |
|
2995 | |||
| 2993 | if indDer[0].shape[0] > 0: |
|
2996 | if indDer[0].shape[0] > 0: | |
| 2994 | for i in range(indDer[0].shape[0]): |
|
2997 | for i in range(indDer[0].shape[0]): | |
| 2995 | signo = -numpy.sign(derPhaseCCF[indDer[0][i],indDer[1][i],indDer[2][i]]) |
|
2998 | signo = -numpy.sign(derPhaseCCF[indDer[0][i],indDer[1][i],indDer[2][i]]) | |
| 2996 | phaseCCF[indDer[0][i],indDer[1][i]+1:,:] += signo*2*numpy.pi |
|
2999 | phaseCCF[indDer[0][i],indDer[1][i]+1:,:] += signo*2*numpy.pi | |
| 2997 |
|
3000 | |||
| 2998 | # for j in range(numSides): |
|
3001 | # for j in range(numSides): | |
| 2999 | # phaseCCFAux = self.calculateCCF(arrayCenter, arraySides[j,:,:], [-2,1,0,1,2]) |
|
3002 | # phaseCCFAux = self.calculateCCF(arrayCenter, arraySides[j,:,:], [-2,1,0,1,2]) | |
| 3000 | # phaseCCF[j,:,:] = numpy.angle(phaseCCFAux) |
|
3003 | # phaseCCF[j,:,:] = numpy.angle(phaseCCFAux) | |
| 3001 | # |
|
3004 | # | |
| 3002 | #Linear |
|
3005 | #Linear | |
| 3003 | phaseInt = numpy.zeros((numPairs,1)) |
|
3006 | phaseInt = numpy.zeros((numPairs,1)) | |
| 3004 | angAllCCF = phaseCCF[:,[0,1,3,4],0] |
|
3007 | angAllCCF = phaseCCF[:,[0,1,3,4],0] | |
| 3005 | for j in range(numPairs): |
|
3008 | for j in range(numPairs): | |
| 3006 | fit = stats.linregress([-2,-1,1,2],angAllCCF[j,:]) |
|
3009 | fit = stats.linregress([-2,-1,1,2],angAllCCF[j,:]) | |
| 3007 | phaseInt[j] = fit[1] |
|
3010 | phaseInt[j] = fit[1] | |
| 3008 | #Phase Differences |
|
3011 | #Phase Differences | |
| 3009 | phaseDiff = phaseInt - phaseCCF[:,2,:] |
|
3012 | phaseDiff = phaseInt - phaseCCF[:,2,:] | |
| 3010 | phaseArrival = phaseInt.reshape(phaseInt.size) |
|
3013 | phaseArrival = phaseInt.reshape(phaseInt.size) | |
| 3011 |
|
3014 | |||
| 3012 | #Dealias |
|
3015 | #Dealias | |
| 3013 | phaseArrival = numpy.angle(numpy.exp(1j*phaseArrival)) |
|
3016 | phaseArrival = numpy.angle(numpy.exp(1j*phaseArrival)) | |
| 3014 | # indAlias = numpy.where(phaseArrival > numpy.pi) |
|
3017 | # indAlias = numpy.where(phaseArrival > numpy.pi) | |
| 3015 | # phaseArrival[indAlias] -= 2*numpy.pi |
|
3018 | # phaseArrival[indAlias] -= 2*numpy.pi | |
| 3016 | # indAlias = numpy.where(phaseArrival < -numpy.pi) |
|
3019 | # indAlias = numpy.where(phaseArrival < -numpy.pi) | |
| 3017 | # phaseArrival[indAlias] += 2*numpy.pi |
|
3020 | # phaseArrival[indAlias] += 2*numpy.pi | |
| 3018 |
|
3021 | |||
| 3019 | return phaseDiff, phaseArrival |
|
3022 | return phaseDiff, phaseArrival | |
| 3020 |
|
3023 | |||
| 3021 | def __coherentDetection(self, volts, timeSegment, timeInterval, pairslist, thresh): |
|
3024 | def __coherentDetection(self, volts, timeSegment, timeInterval, pairslist, thresh): | |
| 3022 | #this function will run the coherent detection used in Holdworth et al. 2004 and return the net power |
|
3025 | #this function will run the coherent detection used in Holdworth et al. 2004 and return the net power | |
| 3023 | #find the phase shifts of each channel over 1 second intervals |
|
3026 | #find the phase shifts of each channel over 1 second intervals | |
| 3024 | #only look at ranges below the beacon signal |
|
3027 | #only look at ranges below the beacon signal | |
| 3025 | numProfPerBlock = numpy.ceil(timeSegment/timeInterval) |
|
3028 | numProfPerBlock = numpy.ceil(timeSegment/timeInterval) | |
| 3026 | numBlocks = int(volts.shape[1]/numProfPerBlock) |
|
3029 | numBlocks = int(volts.shape[1]/numProfPerBlock) | |
| 3027 | numHeights = volts.shape[2] |
|
3030 | numHeights = volts.shape[2] | |
| 3028 | nChannel = volts.shape[0] |
|
3031 | nChannel = volts.shape[0] | |
| 3029 | voltsCohDet = volts.copy() |
|
3032 | voltsCohDet = volts.copy() | |
| 3030 |
|
3033 | |||
| 3031 | pairsarray = numpy.array(pairslist) |
|
3034 | pairsarray = numpy.array(pairslist) | |
| 3032 | indSides = pairsarray[:,1] |
|
3035 | indSides = pairsarray[:,1] | |
| 3033 | # indSides = numpy.array(range(nChannel)) |
|
3036 | # indSides = numpy.array(range(nChannel)) | |
| 3034 | # indSides = numpy.delete(indSides, indCenter) |
|
3037 | # indSides = numpy.delete(indSides, indCenter) | |
| 3035 | # |
|
3038 | # | |
| 3036 | # listCenter = numpy.array_split(volts[indCenter,:,:], numBlocks, 0) |
|
3039 | # listCenter = numpy.array_split(volts[indCenter,:,:], numBlocks, 0) | |
| 3037 | listBlocks = numpy.array_split(volts, numBlocks, 1) |
|
3040 | listBlocks = numpy.array_split(volts, numBlocks, 1) | |
| 3038 |
|
3041 | |||
| 3039 | startInd = 0 |
|
3042 | startInd = 0 | |
| 3040 | endInd = 0 |
|
3043 | endInd = 0 | |
| 3041 |
|
3044 | |||
| 3042 | for i in range(numBlocks): |
|
3045 | for i in range(numBlocks): | |
| 3043 | startInd = endInd |
|
3046 | startInd = endInd | |
| 3044 | endInd = endInd + listBlocks[i].shape[1] |
|
3047 | endInd = endInd + listBlocks[i].shape[1] | |
| 3045 |
|
3048 | |||
| 3046 | arrayBlock = listBlocks[i] |
|
3049 | arrayBlock = listBlocks[i] | |
| 3047 | # arrayBlockCenter = listCenter[i] |
|
3050 | # arrayBlockCenter = listCenter[i] | |
| 3048 |
|
3051 | |||
| 3049 | #Estimate the Phase Difference |
|
3052 | #Estimate the Phase Difference | |
| 3050 | phaseDiff, aux = self.__estimatePhaseDifference(arrayBlock, pairslist) |
|
3053 | phaseDiff, aux = self.__estimatePhaseDifference(arrayBlock, pairslist) | |
| 3051 | #Phase Difference RMS |
|
3054 | #Phase Difference RMS | |
| 3052 | arrayPhaseRMS = numpy.abs(phaseDiff) |
|
3055 | arrayPhaseRMS = numpy.abs(phaseDiff) | |
| 3053 | phaseRMSaux = numpy.sum(arrayPhaseRMS < thresh,0) |
|
3056 | phaseRMSaux = numpy.sum(arrayPhaseRMS < thresh,0) | |
| 3054 | indPhase = numpy.where(phaseRMSaux==4) |
|
3057 | indPhase = numpy.where(phaseRMSaux==4) | |
| 3055 | #Shifting |
|
3058 | #Shifting | |
| 3056 | if indPhase[0].shape[0] > 0: |
|
3059 | if indPhase[0].shape[0] > 0: | |
| 3057 | for j in range(indSides.size): |
|
3060 | for j in range(indSides.size): | |
| 3058 | arrayBlock[indSides[j],:,indPhase] = self.__shiftPhase(arrayBlock[indSides[j],:,indPhase], phaseDiff[j,indPhase].transpose()) |
|
3061 | arrayBlock[indSides[j],:,indPhase] = self.__shiftPhase(arrayBlock[indSides[j],:,indPhase], phaseDiff[j,indPhase].transpose()) | |
| 3059 | voltsCohDet[:,startInd:endInd,:] = arrayBlock |
|
3062 | voltsCohDet[:,startInd:endInd,:] = arrayBlock | |
| 3060 |
|
3063 | |||
| 3061 | return voltsCohDet |
|
3064 | return voltsCohDet | |
| 3062 |
|
3065 | |||
| 3063 | def __calculateCCF(self, volts, pairslist ,laglist): |
|
3066 | def __calculateCCF(self, volts, pairslist ,laglist): | |
| 3064 |
|
3067 | |||
| 3065 | nHeights = volts.shape[2] |
|
3068 | nHeights = volts.shape[2] | |
| 3066 | nPoints = volts.shape[1] |
|
3069 | nPoints = volts.shape[1] | |
| 3067 | voltsCCF = numpy.zeros((len(pairslist), len(laglist), nHeights),dtype = 'complex') |
|
3070 | voltsCCF = numpy.zeros((len(pairslist), len(laglist), nHeights),dtype = 'complex') | |
| 3068 |
|
3071 | |||
| 3069 | for i in range(len(pairslist)): |
|
3072 | for i in range(len(pairslist)): | |
| 3070 | volts1 = volts[pairslist[i][0]] |
|
3073 | volts1 = volts[pairslist[i][0]] | |
| 3071 | volts2 = volts[pairslist[i][1]] |
|
3074 | volts2 = volts[pairslist[i][1]] | |
| 3072 |
|
3075 | |||
| 3073 | for t in range(len(laglist)): |
|
3076 | for t in range(len(laglist)): | |
| 3074 | idxT = laglist[t] |
|
3077 | idxT = laglist[t] | |
| 3075 | if idxT >= 0: |
|
3078 | if idxT >= 0: | |
| 3076 | vStacked = numpy.vstack((volts2[idxT:,:], |
|
3079 | vStacked = numpy.vstack((volts2[idxT:,:], | |
| 3077 | numpy.zeros((idxT, nHeights),dtype='complex'))) |
|
3080 | numpy.zeros((idxT, nHeights),dtype='complex'))) | |
| 3078 | else: |
|
3081 | else: | |
| 3079 | vStacked = numpy.vstack((numpy.zeros((-idxT, nHeights),dtype='complex'), |
|
3082 | vStacked = numpy.vstack((numpy.zeros((-idxT, nHeights),dtype='complex'), | |
| 3080 | volts2[:(nPoints + idxT),:])) |
|
3083 | volts2[:(nPoints + idxT),:])) | |
| 3081 | voltsCCF[i,t,:] = numpy.sum((numpy.conjugate(volts1)*vStacked),axis=0) |
|
3084 | voltsCCF[i,t,:] = numpy.sum((numpy.conjugate(volts1)*vStacked),axis=0) | |
| 3082 |
|
3085 | |||
| 3083 | vStacked = None |
|
3086 | vStacked = None | |
| 3084 | return voltsCCF |
|
3087 | return voltsCCF | |
| 3085 |
|
3088 | |||
| 3086 | def __getNoise(self, power, timeSegment, timeInterval): |
|
3089 | def __getNoise(self, power, timeSegment, timeInterval): | |
| 3087 | numProfPerBlock = numpy.ceil(timeSegment/timeInterval) |
|
3090 | numProfPerBlock = numpy.ceil(timeSegment/timeInterval) | |
| 3088 | numBlocks = int(power.shape[0]/numProfPerBlock) |
|
3091 | numBlocks = int(power.shape[0]/numProfPerBlock) | |
| 3089 | numHeights = power.shape[1] |
|
3092 | numHeights = power.shape[1] | |
| 3090 |
|
3093 | |||
| 3091 | listPower = numpy.array_split(power, numBlocks, 0) |
|
3094 | listPower = numpy.array_split(power, numBlocks, 0) | |
| 3092 | noise = numpy.zeros((power.shape[0], power.shape[1])) |
|
3095 | noise = numpy.zeros((power.shape[0], power.shape[1])) | |
| 3093 | noise1 = numpy.zeros((power.shape[0], power.shape[1])) |
|
3096 | noise1 = numpy.zeros((power.shape[0], power.shape[1])) | |
| 3094 |
|
3097 | |||
| 3095 | startInd = 0 |
|
3098 | startInd = 0 | |
| 3096 | endInd = 0 |
|
3099 | endInd = 0 | |
| 3097 |
|
3100 | |||
| 3098 | for i in range(numBlocks): #split por canal |
|
3101 | for i in range(numBlocks): #split por canal | |
| 3099 | startInd = endInd |
|
3102 | startInd = endInd | |
| 3100 | endInd = endInd + listPower[i].shape[0] |
|
3103 | endInd = endInd + listPower[i].shape[0] | |
| 3101 |
|
3104 | |||
| 3102 | arrayBlock = listPower[i] |
|
3105 | arrayBlock = listPower[i] | |
| 3103 | noiseAux = numpy.mean(arrayBlock, 0) |
|
3106 | noiseAux = numpy.mean(arrayBlock, 0) | |
| 3104 | # noiseAux = numpy.median(noiseAux) |
|
3107 | # noiseAux = numpy.median(noiseAux) | |
| 3105 | # noiseAux = numpy.mean(arrayBlock) |
|
3108 | # noiseAux = numpy.mean(arrayBlock) | |
| 3106 | noise[startInd:endInd,:] = noise[startInd:endInd,:] + noiseAux |
|
3109 | noise[startInd:endInd,:] = noise[startInd:endInd,:] + noiseAux | |
| 3107 |
|
3110 | |||
| 3108 | noiseAux1 = numpy.mean(arrayBlock) |
|
3111 | noiseAux1 = numpy.mean(arrayBlock) | |
| 3109 | noise1[startInd:endInd,:] = noise1[startInd:endInd,:] + noiseAux1 |
|
3112 | noise1[startInd:endInd,:] = noise1[startInd:endInd,:] + noiseAux1 | |
| 3110 |
|
3113 | |||
| 3111 | return noise, noise1 |
|
3114 | return noise, noise1 | |
| 3112 |
|
3115 | |||
| 3113 | def __findMeteors(self, power, thresh): |
|
3116 | def __findMeteors(self, power, thresh): | |
| 3114 | nProf = power.shape[0] |
|
3117 | nProf = power.shape[0] | |
| 3115 | nHeights = power.shape[1] |
|
3118 | nHeights = power.shape[1] | |
| 3116 | listMeteors = [] |
|
3119 | listMeteors = [] | |
| 3117 |
|
3120 | |||
| 3118 | for i in range(nHeights): |
|
3121 | for i in range(nHeights): | |
| 3119 | powerAux = power[:,i] |
|
3122 | powerAux = power[:,i] | |
| 3120 | threshAux = thresh[:,i] |
|
3123 | threshAux = thresh[:,i] | |
| 3121 |
|
3124 | |||
| 3122 | indUPthresh = numpy.where(powerAux > threshAux)[0] |
|
3125 | indUPthresh = numpy.where(powerAux > threshAux)[0] | |
| 3123 | indDNthresh = numpy.where(powerAux <= threshAux)[0] |
|
3126 | indDNthresh = numpy.where(powerAux <= threshAux)[0] | |
| 3124 |
|
3127 | |||
| 3125 | j = 0 |
|
3128 | j = 0 | |
| 3126 |
|
3129 | |||
| 3127 | while (j < indUPthresh.size - 2): |
|
3130 | while (j < indUPthresh.size - 2): | |
| 3128 | if (indUPthresh[j + 2] == indUPthresh[j] + 2): |
|
3131 | if (indUPthresh[j + 2] == indUPthresh[j] + 2): | |
| 3129 | indDNAux = numpy.where(indDNthresh > indUPthresh[j]) |
|
3132 | indDNAux = numpy.where(indDNthresh > indUPthresh[j]) | |
| 3130 | indDNthresh = indDNthresh[indDNAux] |
|
3133 | indDNthresh = indDNthresh[indDNAux] | |
| 3131 |
|
3134 | |||
| 3132 | if (indDNthresh.size > 0): |
|
3135 | if (indDNthresh.size > 0): | |
| 3133 | indEnd = indDNthresh[0] - 1 |
|
3136 | indEnd = indDNthresh[0] - 1 | |
| 3134 | indInit = indUPthresh[j] |
|
3137 | indInit = indUPthresh[j] | |
| 3135 |
|
3138 | |||
| 3136 | meteor = powerAux[indInit:indEnd + 1] |
|
3139 | meteor = powerAux[indInit:indEnd + 1] | |
| 3137 | indPeak = meteor.argmax() + indInit |
|
3140 | indPeak = meteor.argmax() + indInit | |
| 3138 | FLA = sum(numpy.conj(meteor)*numpy.hstack((meteor[1:],0))) |
|
3141 | FLA = sum(numpy.conj(meteor)*numpy.hstack((meteor[1:],0))) | |
| 3139 |
|
3142 | |||
| 3140 | listMeteors.append(numpy.array([i,indInit,indPeak,indEnd,FLA])) #CHEQUEAR!!!!! |
|
3143 | listMeteors.append(numpy.array([i,indInit,indPeak,indEnd,FLA])) #CHEQUEAR!!!!! | |
| 3141 | j = numpy.where(indUPthresh == indEnd)[0] + 1 |
|
3144 | j = numpy.where(indUPthresh == indEnd)[0] + 1 | |
| 3142 | else: j+=1 |
|
3145 | else: j+=1 | |
| 3143 | else: j+=1 |
|
3146 | else: j+=1 | |
| 3144 |
|
3147 | |||
| 3145 | return listMeteors |
|
3148 | return listMeteors | |
| 3146 |
|
3149 | |||
| 3147 | def __removeMultipleDetections(self,listMeteors, rangeLimit, timeLimit): |
|
3150 | def __removeMultipleDetections(self,listMeteors, rangeLimit, timeLimit): | |
| 3148 |
|
3151 | |||
| 3149 | arrayMeteors = numpy.asarray(listMeteors) |
|
3152 | arrayMeteors = numpy.asarray(listMeteors) | |
| 3150 | listMeteors1 = [] |
|
3153 | listMeteors1 = [] | |
| 3151 |
|
3154 | |||
| 3152 | while arrayMeteors.shape[0] > 0: |
|
3155 | while arrayMeteors.shape[0] > 0: | |
| 3153 | FLAs = arrayMeteors[:,4] |
|
3156 | FLAs = arrayMeteors[:,4] | |
| 3154 | maxFLA = FLAs.argmax() |
|
3157 | maxFLA = FLAs.argmax() | |
| 3155 | listMeteors1.append(arrayMeteors[maxFLA,:]) |
|
3158 | listMeteors1.append(arrayMeteors[maxFLA,:]) | |
| 3156 |
|
3159 | |||
| 3157 | MeteorInitTime = arrayMeteors[maxFLA,1] |
|
3160 | MeteorInitTime = arrayMeteors[maxFLA,1] | |
| 3158 | MeteorEndTime = arrayMeteors[maxFLA,3] |
|
3161 | MeteorEndTime = arrayMeteors[maxFLA,3] | |
| 3159 | MeteorHeight = arrayMeteors[maxFLA,0] |
|
3162 | MeteorHeight = arrayMeteors[maxFLA,0] | |
| 3160 |
|
3163 | |||
| 3161 | #Check neighborhood |
|
3164 | #Check neighborhood | |
| 3162 | maxHeightIndex = MeteorHeight + rangeLimit |
|
3165 | maxHeightIndex = MeteorHeight + rangeLimit | |
| 3163 | minHeightIndex = MeteorHeight - rangeLimit |
|
3166 | minHeightIndex = MeteorHeight - rangeLimit | |
| 3164 | minTimeIndex = MeteorInitTime - timeLimit |
|
3167 | minTimeIndex = MeteorInitTime - timeLimit | |
| 3165 | maxTimeIndex = MeteorEndTime + timeLimit |
|
3168 | maxTimeIndex = MeteorEndTime + timeLimit | |
| 3166 |
|
3169 | |||
| 3167 | #Check Heights |
|
3170 | #Check Heights | |
| 3168 | indHeight = numpy.logical_and(arrayMeteors[:,0] >= minHeightIndex, arrayMeteors[:,0] <= maxHeightIndex) |
|
3171 | indHeight = numpy.logical_and(arrayMeteors[:,0] >= minHeightIndex, arrayMeteors[:,0] <= maxHeightIndex) | |
| 3169 | indTime = numpy.logical_and(arrayMeteors[:,3] >= minTimeIndex, arrayMeteors[:,1] <= maxTimeIndex) |
|
3172 | indTime = numpy.logical_and(arrayMeteors[:,3] >= minTimeIndex, arrayMeteors[:,1] <= maxTimeIndex) | |
| 3170 | indBoth = numpy.where(numpy.logical_and(indTime,indHeight)) |
|
3173 | indBoth = numpy.where(numpy.logical_and(indTime,indHeight)) | |
| 3171 |
|
3174 | |||
| 3172 | arrayMeteors = numpy.delete(arrayMeteors, indBoth, axis = 0) |
|
3175 | arrayMeteors = numpy.delete(arrayMeteors, indBoth, axis = 0) | |
| 3173 |
|
3176 | |||
| 3174 | return listMeteors1 |
|
3177 | return listMeteors1 | |
| 3175 |
|
3178 | |||
| 3176 | def __meteorReestimation(self, listMeteors, volts, pairslist, thresh, noise, timeInterval,frequency): |
|
3179 | def __meteorReestimation(self, listMeteors, volts, pairslist, thresh, noise, timeInterval,frequency): | |
| 3177 | numHeights = volts.shape[2] |
|
3180 | numHeights = volts.shape[2] | |
| 3178 | nChannel = volts.shape[0] |
|
3181 | nChannel = volts.shape[0] | |
| 3179 |
|
3182 | |||
| 3180 | thresholdPhase = thresh[0] |
|
3183 | thresholdPhase = thresh[0] | |
| 3181 | thresholdNoise = thresh[1] |
|
3184 | thresholdNoise = thresh[1] | |
| 3182 | thresholdDB = float(thresh[2]) |
|
3185 | thresholdDB = float(thresh[2]) | |
| 3183 |
|
3186 | |||
| 3184 | thresholdDB1 = 10**(thresholdDB/10) |
|
3187 | thresholdDB1 = 10**(thresholdDB/10) | |
| 3185 | pairsarray = numpy.array(pairslist) |
|
3188 | pairsarray = numpy.array(pairslist) | |
| 3186 | indSides = pairsarray[:,1] |
|
3189 | indSides = pairsarray[:,1] | |
| 3187 |
|
3190 | |||
| 3188 | pairslist1 = list(pairslist) |
|
3191 | pairslist1 = list(pairslist) | |
| 3189 | pairslist1.append((0,1)) |
|
3192 | pairslist1.append((0,1)) | |
| 3190 | pairslist1.append((3,4)) |
|
3193 | pairslist1.append((3,4)) | |
| 3191 |
|
3194 | |||
| 3192 | listMeteors1 = [] |
|
3195 | listMeteors1 = [] | |
| 3193 | listPowerSeries = [] |
|
3196 | listPowerSeries = [] | |
| 3194 | listVoltageSeries = [] |
|
3197 | listVoltageSeries = [] | |
| 3195 | #volts has the war data |
|
3198 | #volts has the war data | |
| 3196 |
|
3199 | |||
| 3197 | if frequency == 30e6: |
|
3200 | if frequency == 30e6: | |
| 3198 | timeLag = 45*10**-3 |
|
3201 | timeLag = 45*10**-3 | |
| 3199 | else: |
|
3202 | else: | |
| 3200 | timeLag = 15*10**-3 |
|
3203 | timeLag = 15*10**-3 | |
| 3201 | lag = numpy.ceil(timeLag/timeInterval) |
|
3204 | lag = numpy.ceil(timeLag/timeInterval) | |
| 3202 |
|
3205 | |||
| 3203 | for i in range(len(listMeteors)): |
|
3206 | for i in range(len(listMeteors)): | |
| 3204 |
|
3207 | |||
| 3205 | ###################### 3.6 - 3.7 PARAMETERS REESTIMATION ######################### |
|
3208 | ###################### 3.6 - 3.7 PARAMETERS REESTIMATION ######################### | |
| 3206 | meteorAux = numpy.zeros(16) |
|
3209 | meteorAux = numpy.zeros(16) | |
| 3207 |
|
3210 | |||
| 3208 | #Loading meteor Data (mHeight, mStart, mPeak, mEnd) |
|
3211 | #Loading meteor Data (mHeight, mStart, mPeak, mEnd) | |
| 3209 | mHeight = listMeteors[i][0] |
|
3212 | mHeight = listMeteors[i][0] | |
| 3210 | mStart = listMeteors[i][1] |
|
3213 | mStart = listMeteors[i][1] | |
| 3211 | mPeak = listMeteors[i][2] |
|
3214 | mPeak = listMeteors[i][2] | |
| 3212 | mEnd = listMeteors[i][3] |
|
3215 | mEnd = listMeteors[i][3] | |
| 3213 |
|
3216 | |||
| 3214 | #get the volt data between the start and end times of the meteor |
|
3217 | #get the volt data between the start and end times of the meteor | |
| 3215 | meteorVolts = volts[:,mStart:mEnd+1,mHeight] |
|
3218 | meteorVolts = volts[:,mStart:mEnd+1,mHeight] | |
| 3216 | meteorVolts = meteorVolts.reshape(meteorVolts.shape[0], meteorVolts.shape[1], 1) |
|
3219 | meteorVolts = meteorVolts.reshape(meteorVolts.shape[0], meteorVolts.shape[1], 1) | |
| 3217 |
|
3220 | |||
| 3218 | #3.6. Phase Difference estimation |
|
3221 | #3.6. Phase Difference estimation | |
| 3219 | phaseDiff, aux = self.__estimatePhaseDifference(meteorVolts, pairslist) |
|
3222 | phaseDiff, aux = self.__estimatePhaseDifference(meteorVolts, pairslist) | |
| 3220 |
|
3223 | |||
| 3221 | #3.7. Phase difference removal & meteor start, peak and end times reestimated |
|
3224 | #3.7. Phase difference removal & meteor start, peak and end times reestimated | |
| 3222 | #meteorVolts0.- all Channels, all Profiles |
|
3225 | #meteorVolts0.- all Channels, all Profiles | |
| 3223 | meteorVolts0 = volts[:,:,mHeight] |
|
3226 | meteorVolts0 = volts[:,:,mHeight] | |
| 3224 | meteorThresh = noise[:,mHeight]*thresholdNoise |
|
3227 | meteorThresh = noise[:,mHeight]*thresholdNoise | |
| 3225 | meteorNoise = noise[:,mHeight] |
|
3228 | meteorNoise = noise[:,mHeight] | |
| 3226 | meteorVolts0[indSides,:] = self.__shiftPhase(meteorVolts0[indSides,:], phaseDiff) #Phase Shifting |
|
3229 | meteorVolts0[indSides,:] = self.__shiftPhase(meteorVolts0[indSides,:], phaseDiff) #Phase Shifting | |
| 3227 | powerNet0 = numpy.nansum(numpy.abs(meteorVolts0)**2, axis = 0) #Power |
|
3230 | powerNet0 = numpy.nansum(numpy.abs(meteorVolts0)**2, axis = 0) #Power | |
| 3228 |
|
3231 | |||
| 3229 | #Times reestimation |
|
3232 | #Times reestimation | |
| 3230 | mStart1 = numpy.where(powerNet0[:mPeak] < meteorThresh[:mPeak])[0] |
|
3233 | mStart1 = numpy.where(powerNet0[:mPeak] < meteorThresh[:mPeak])[0] | |
| 3231 | if mStart1.size > 0: |
|
3234 | if mStart1.size > 0: | |
| 3232 | mStart1 = mStart1[-1] + 1 |
|
3235 | mStart1 = mStart1[-1] + 1 | |
| 3233 |
|
3236 | |||
| 3234 | else: |
|
3237 | else: | |
| 3235 | mStart1 = mPeak |
|
3238 | mStart1 = mPeak | |
| 3236 |
|
3239 | |||
| 3237 | mEnd1 = numpy.where(powerNet0[mPeak:] < meteorThresh[mPeak:])[0][0] + mPeak - 1 |
|
3240 | mEnd1 = numpy.where(powerNet0[mPeak:] < meteorThresh[mPeak:])[0][0] + mPeak - 1 | |
| 3238 | mEndDecayTime1 = numpy.where(powerNet0[mPeak:] < meteorNoise[mPeak:])[0] |
|
3241 | mEndDecayTime1 = numpy.where(powerNet0[mPeak:] < meteorNoise[mPeak:])[0] | |
| 3239 | if mEndDecayTime1.size == 0: |
|
3242 | if mEndDecayTime1.size == 0: | |
| 3240 | mEndDecayTime1 = powerNet0.size |
|
3243 | mEndDecayTime1 = powerNet0.size | |
| 3241 | else: |
|
3244 | else: | |
| 3242 | mEndDecayTime1 = mEndDecayTime1[0] + mPeak - 1 |
|
3245 | mEndDecayTime1 = mEndDecayTime1[0] + mPeak - 1 | |
| 3243 | # mPeak1 = meteorVolts0[mStart1:mEnd1 + 1].argmax() |
|
3246 | # mPeak1 = meteorVolts0[mStart1:mEnd1 + 1].argmax() | |
| 3244 |
|
3247 | |||
| 3245 | #meteorVolts1.- all Channels, from start to end |
|
3248 | #meteorVolts1.- all Channels, from start to end | |
| 3246 | meteorVolts1 = meteorVolts0[:,mStart1:mEnd1 + 1] |
|
3249 | meteorVolts1 = meteorVolts0[:,mStart1:mEnd1 + 1] | |
| 3247 | meteorVolts2 = meteorVolts0[:,mPeak + lag:mEnd1 + 1] |
|
3250 | meteorVolts2 = meteorVolts0[:,mPeak + lag:mEnd1 + 1] | |
| 3248 | if meteorVolts2.shape[1] == 0: |
|
3251 | if meteorVolts2.shape[1] == 0: | |
| 3249 | meteorVolts2 = meteorVolts0[:,mPeak:mEnd1 + 1] |
|
3252 | meteorVolts2 = meteorVolts0[:,mPeak:mEnd1 + 1] | |
| 3250 | meteorVolts1 = meteorVolts1.reshape(meteorVolts1.shape[0], meteorVolts1.shape[1], 1) |
|
3253 | meteorVolts1 = meteorVolts1.reshape(meteorVolts1.shape[0], meteorVolts1.shape[1], 1) | |
| 3251 | meteorVolts2 = meteorVolts2.reshape(meteorVolts2.shape[0], meteorVolts2.shape[1], 1) |
|
3254 | meteorVolts2 = meteorVolts2.reshape(meteorVolts2.shape[0], meteorVolts2.shape[1], 1) | |
| 3252 | ##################### END PARAMETERS REESTIMATION ######################### |
|
3255 | ##################### END PARAMETERS REESTIMATION ######################### | |
| 3253 |
|
3256 | |||
| 3254 | ##################### 3.8 PHASE DIFFERENCE REESTIMATION ######################## |
|
3257 | ##################### 3.8 PHASE DIFFERENCE REESTIMATION ######################## | |
| 3255 | # if mEnd1 - mStart1 > 4: #Error Number 6: echo less than 5 samples long; too short for analysis |
|
3258 | # if mEnd1 - mStart1 > 4: #Error Number 6: echo less than 5 samples long; too short for analysis | |
| 3256 | if meteorVolts2.shape[1] > 0: |
|
3259 | if meteorVolts2.shape[1] > 0: | |
| 3257 | #Phase Difference re-estimation |
|
3260 | #Phase Difference re-estimation | |
| 3258 | phaseDiff1, phaseDiffint = self.__estimatePhaseDifference(meteorVolts2, pairslist1) #Phase Difference Estimation |
|
3261 | phaseDiff1, phaseDiffint = self.__estimatePhaseDifference(meteorVolts2, pairslist1) #Phase Difference Estimation | |
| 3259 | # phaseDiff1, phaseDiffint = self.estimatePhaseDifference(meteorVolts2, pairslist) |
|
3262 | # phaseDiff1, phaseDiffint = self.estimatePhaseDifference(meteorVolts2, pairslist) | |
| 3260 | meteorVolts2 = meteorVolts2.reshape(meteorVolts2.shape[0], meteorVolts2.shape[1]) |
|
3263 | meteorVolts2 = meteorVolts2.reshape(meteorVolts2.shape[0], meteorVolts2.shape[1]) | |
| 3261 | phaseDiff11 = numpy.reshape(phaseDiff1, (phaseDiff1.shape[0],1)) |
|
3264 | phaseDiff11 = numpy.reshape(phaseDiff1, (phaseDiff1.shape[0],1)) | |
| 3262 | meteorVolts2[indSides,:] = self.__shiftPhase(meteorVolts2[indSides,:], phaseDiff11[0:4]) #Phase Shifting |
|
3265 | meteorVolts2[indSides,:] = self.__shiftPhase(meteorVolts2[indSides,:], phaseDiff11[0:4]) #Phase Shifting | |
| 3263 |
|
3266 | |||
| 3264 | #Phase Difference RMS |
|
3267 | #Phase Difference RMS | |
| 3265 | phaseRMS1 = numpy.sqrt(numpy.mean(numpy.square(phaseDiff1))) |
|
3268 | phaseRMS1 = numpy.sqrt(numpy.mean(numpy.square(phaseDiff1))) | |
| 3266 | powerNet1 = numpy.nansum(numpy.abs(meteorVolts1[:,:])**2,0) |
|
3269 | powerNet1 = numpy.nansum(numpy.abs(meteorVolts1[:,:])**2,0) | |
| 3267 | #Data from Meteor |
|
3270 | #Data from Meteor | |
| 3268 | mPeak1 = powerNet1.argmax() + mStart1 |
|
3271 | mPeak1 = powerNet1.argmax() + mStart1 | |
| 3269 | mPeakPower1 = powerNet1.max() |
|
3272 | mPeakPower1 = powerNet1.max() | |
| 3270 | noiseAux = sum(noise[mStart1:mEnd1 + 1,mHeight]) |
|
3273 | noiseAux = sum(noise[mStart1:mEnd1 + 1,mHeight]) | |
| 3271 | mSNR1 = (sum(powerNet1)-noiseAux)/noiseAux |
|
3274 | mSNR1 = (sum(powerNet1)-noiseAux)/noiseAux | |
| 3272 | Meteor1 = numpy.array([mHeight, mStart1, mPeak1, mEnd1, mPeakPower1, mSNR1, phaseRMS1]) |
|
3275 | Meteor1 = numpy.array([mHeight, mStart1, mPeak1, mEnd1, mPeakPower1, mSNR1, phaseRMS1]) | |
| 3273 | Meteor1 = numpy.hstack((Meteor1,phaseDiffint)) |
|
3276 | Meteor1 = numpy.hstack((Meteor1,phaseDiffint)) | |
| 3274 | PowerSeries = powerNet0[mStart1:mEndDecayTime1 + 1] |
|
3277 | PowerSeries = powerNet0[mStart1:mEndDecayTime1 + 1] | |
| 3275 | #Vectorize |
|
3278 | #Vectorize | |
| 3276 | meteorAux[0:7] = [mHeight, mStart1, mPeak1, mEnd1, mPeakPower1, mSNR1, phaseRMS1] |
|
3279 | meteorAux[0:7] = [mHeight, mStart1, mPeak1, mEnd1, mPeakPower1, mSNR1, phaseRMS1] | |
| 3277 | meteorAux[7:11] = phaseDiffint[0:4] |
|
3280 | meteorAux[7:11] = phaseDiffint[0:4] | |
| 3278 |
|
3281 | |||
| 3279 | #Rejection Criterions |
|
3282 | #Rejection Criterions | |
| 3280 | if phaseRMS1 > thresholdPhase: #Error Number 17: Phase variation |
|
3283 | if phaseRMS1 > thresholdPhase: #Error Number 17: Phase variation | |
| 3281 | meteorAux[-1] = 17 |
|
3284 | meteorAux[-1] = 17 | |
| 3282 | elif mSNR1 < thresholdDB1: #Error Number 1: SNR < threshold dB |
|
3285 | elif mSNR1 < thresholdDB1: #Error Number 1: SNR < threshold dB | |
| 3283 | meteorAux[-1] = 1 |
|
3286 | meteorAux[-1] = 1 | |
| 3284 |
|
3287 | |||
| 3285 |
|
3288 | |||
| 3286 | else: |
|
3289 | else: | |
| 3287 | meteorAux[0:4] = [mHeight, mStart, mPeak, mEnd] |
|
3290 | meteorAux[0:4] = [mHeight, mStart, mPeak, mEnd] | |
| 3288 | meteorAux[-1] = 6 #Error Number 6: echo less than 5 samples long; too short for analysis |
|
3291 | meteorAux[-1] = 6 #Error Number 6: echo less than 5 samples long; too short for analysis | |
| 3289 | PowerSeries = 0 |
|
3292 | PowerSeries = 0 | |
| 3290 |
|
3293 | |||
| 3291 | listMeteors1.append(meteorAux) |
|
3294 | listMeteors1.append(meteorAux) | |
| 3292 | listPowerSeries.append(PowerSeries) |
|
3295 | listPowerSeries.append(PowerSeries) | |
| 3293 | listVoltageSeries.append(meteorVolts1) |
|
3296 | listVoltageSeries.append(meteorVolts1) | |
| 3294 |
|
3297 | |||
| 3295 | return listMeteors1, listPowerSeries, listVoltageSeries |
|
3298 | return listMeteors1, listPowerSeries, listVoltageSeries | |
| 3296 |
|
3299 | |||
| 3297 | def __estimateDecayTime(self, listMeteors, listPower, timeInterval, frequency): |
|
3300 | def __estimateDecayTime(self, listMeteors, listPower, timeInterval, frequency): | |
| 3298 |
|
3301 | |||
| 3299 | threshError = 10 |
|
3302 | threshError = 10 | |
| 3300 | #Depending if it is 30 or 50 MHz |
|
3303 | #Depending if it is 30 or 50 MHz | |
| 3301 | if frequency == 30e6: |
|
3304 | if frequency == 30e6: | |
| 3302 | timeLag = 45*10**-3 |
|
3305 | timeLag = 45*10**-3 | |
| 3303 | else: |
|
3306 | else: | |
| 3304 | timeLag = 15*10**-3 |
|
3307 | timeLag = 15*10**-3 | |
| 3305 | lag = numpy.ceil(timeLag/timeInterval) |
|
3308 | lag = numpy.ceil(timeLag/timeInterval) | |
| 3306 |
|
3309 | |||
| 3307 | listMeteors1 = [] |
|
3310 | listMeteors1 = [] | |
| 3308 |
|
3311 | |||
| 3309 | for i in range(len(listMeteors)): |
|
3312 | for i in range(len(listMeteors)): | |
| 3310 | meteorPower = listPower[i] |
|
3313 | meteorPower = listPower[i] | |
| 3311 | meteorAux = listMeteors[i] |
|
3314 | meteorAux = listMeteors[i] | |
| 3312 |
|
3315 | |||
| 3313 | if meteorAux[-1] == 0: |
|
3316 | if meteorAux[-1] == 0: | |
| 3314 |
|
3317 | |||
| 3315 | try: |
|
3318 | try: | |
| 3316 | indmax = meteorPower.argmax() |
|
3319 | indmax = meteorPower.argmax() | |
| 3317 | indlag = indmax + lag |
|
3320 | indlag = indmax + lag | |
| 3318 |
|
3321 | |||
| 3319 | y = meteorPower[indlag:] |
|
3322 | y = meteorPower[indlag:] | |
| 3320 | x = numpy.arange(0, y.size)*timeLag |
|
3323 | x = numpy.arange(0, y.size)*timeLag | |
| 3321 |
|
3324 | |||
| 3322 | #first guess |
|
3325 | #first guess | |
| 3323 | a = y[0] |
|
3326 | a = y[0] | |
| 3324 | tau = timeLag |
|
3327 | tau = timeLag | |
| 3325 | #exponential fit |
|
3328 | #exponential fit | |
| 3326 | popt, pcov = optimize.curve_fit(self.__exponential_function, x, y, p0 = [a, tau]) |
|
3329 | popt, pcov = optimize.curve_fit(self.__exponential_function, x, y, p0 = [a, tau]) | |
| 3327 | y1 = self.__exponential_function(x, *popt) |
|
3330 | y1 = self.__exponential_function(x, *popt) | |
| 3328 | #error estimation |
|
3331 | #error estimation | |
| 3329 | error = sum((y - y1)**2)/(numpy.var(y)*(y.size - popt.size)) |
|
3332 | error = sum((y - y1)**2)/(numpy.var(y)*(y.size - popt.size)) | |
| 3330 |
|
3333 | |||
| 3331 | decayTime = popt[1] |
|
3334 | decayTime = popt[1] | |
| 3332 | riseTime = indmax*timeInterval |
|
3335 | riseTime = indmax*timeInterval | |
| 3333 | meteorAux[11:13] = [decayTime, error] |
|
3336 | meteorAux[11:13] = [decayTime, error] | |
| 3334 |
|
3337 | |||
| 3335 | #Table items 7, 8 and 11 |
|
3338 | #Table items 7, 8 and 11 | |
| 3336 | if (riseTime > 0.3): #Number 7: Echo rise exceeds 0.3s |
|
3339 | if (riseTime > 0.3): #Number 7: Echo rise exceeds 0.3s | |
| 3337 | meteorAux[-1] = 7 |
|
3340 | meteorAux[-1] = 7 | |
| 3338 | elif (decayTime < 2*riseTime) : #Number 8: Echo decay time less than than twice rise time |
|
3341 | elif (decayTime < 2*riseTime) : #Number 8: Echo decay time less than than twice rise time | |
| 3339 | meteorAux[-1] = 8 |
|
3342 | meteorAux[-1] = 8 | |
| 3340 | if (error > threshError): #Number 11: Poor fit to amplitude for estimation of decay time |
|
3343 | if (error > threshError): #Number 11: Poor fit to amplitude for estimation of decay time | |
| 3341 | meteorAux[-1] = 11 |
|
3344 | meteorAux[-1] = 11 | |
| 3342 |
|
3345 | |||
| 3343 |
|
3346 | |||
| 3344 | except: |
|
3347 | except: | |
| 3345 | meteorAux[-1] = 11 |
|
3348 | meteorAux[-1] = 11 | |
| 3346 |
|
3349 | |||
| 3347 |
|
3350 | |||
| 3348 | listMeteors1.append(meteorAux) |
|
3351 | listMeteors1.append(meteorAux) | |
| 3349 |
|
3352 | |||
| 3350 | return listMeteors1 |
|
3353 | return listMeteors1 | |
| 3351 |
|
3354 | |||
| 3352 | #Exponential Function |
|
3355 | #Exponential Function | |
| 3353 |
|
3356 | |||
| 3354 | def __exponential_function(self, x, a, tau): |
|
3357 | def __exponential_function(self, x, a, tau): | |
| 3355 | y = a*numpy.exp(-x/tau) |
|
3358 | y = a*numpy.exp(-x/tau) | |
| 3356 | return y |
|
3359 | return y | |
| 3357 |
|
3360 | |||
| 3358 | def __getRadialVelocity(self, listMeteors, listVolts, radialStdThresh, pairslist, timeInterval): |
|
3361 | def __getRadialVelocity(self, listMeteors, listVolts, radialStdThresh, pairslist, timeInterval): | |
| 3359 |
|
3362 | |||
| 3360 | pairslist1 = list(pairslist) |
|
3363 | pairslist1 = list(pairslist) | |
| 3361 | pairslist1.append((0,1)) |
|
3364 | pairslist1.append((0,1)) | |
| 3362 | pairslist1.append((3,4)) |
|
3365 | pairslist1.append((3,4)) | |
| 3363 | numPairs = len(pairslist1) |
|
3366 | numPairs = len(pairslist1) | |
| 3364 | #Time Lag |
|
3367 | #Time Lag | |
| 3365 | timeLag = 45*10**-3 |
|
3368 | timeLag = 45*10**-3 | |
| 3366 | c = 3e8 |
|
3369 | c = 3e8 | |
| 3367 | lag = numpy.ceil(timeLag/timeInterval) |
|
3370 | lag = numpy.ceil(timeLag/timeInterval) | |
| 3368 | freq = 30e6 |
|
3371 | freq = 30e6 | |
| 3369 |
|
3372 | |||
| 3370 | listMeteors1 = [] |
|
3373 | listMeteors1 = [] | |
| 3371 |
|
3374 | |||
| 3372 | for i in range(len(listMeteors)): |
|
3375 | for i in range(len(listMeteors)): | |
| 3373 | meteorAux = listMeteors[i] |
|
3376 | meteorAux = listMeteors[i] | |
| 3374 | if meteorAux[-1] == 0: |
|
3377 | if meteorAux[-1] == 0: | |
| 3375 | mStart = listMeteors[i][1] |
|
3378 | mStart = listMeteors[i][1] | |
| 3376 | mPeak = listMeteors[i][2] |
|
3379 | mPeak = listMeteors[i][2] | |
| 3377 | mLag = mPeak - mStart + lag |
|
3380 | mLag = mPeak - mStart + lag | |
| 3378 |
|
3381 | |||
| 3379 | #get the volt data between the start and end times of the meteor |
|
3382 | #get the volt data between the start and end times of the meteor | |
| 3380 | meteorVolts = listVolts[i] |
|
3383 | meteorVolts = listVolts[i] | |
| 3381 | meteorVolts = meteorVolts.reshape(meteorVolts.shape[0], meteorVolts.shape[1], 1) |
|
3384 | meteorVolts = meteorVolts.reshape(meteorVolts.shape[0], meteorVolts.shape[1], 1) | |
| 3382 |
|
3385 | |||
| 3383 | #Get CCF |
|
3386 | #Get CCF | |
| 3384 | allCCFs = self.__calculateCCF(meteorVolts, pairslist1, [-2,-1,0,1,2]) |
|
3387 | allCCFs = self.__calculateCCF(meteorVolts, pairslist1, [-2,-1,0,1,2]) | |
| 3385 |
|
3388 | |||
| 3386 | #Method 2 |
|
3389 | #Method 2 | |
| 3387 | slopes = numpy.zeros(numPairs) |
|
3390 | slopes = numpy.zeros(numPairs) | |
| 3388 | time = numpy.array([-2,-1,1,2])*timeInterval |
|
3391 | time = numpy.array([-2,-1,1,2])*timeInterval | |
| 3389 | angAllCCF = numpy.angle(allCCFs[:,[0,1,3,4],0]) |
|
3392 | angAllCCF = numpy.angle(allCCFs[:,[0,1,3,4],0]) | |
| 3390 |
|
3393 | |||
| 3391 | #Correct phases |
|
3394 | #Correct phases | |
| 3392 | derPhaseCCF = angAllCCF[:,1:] - angAllCCF[:,0:-1] |
|
3395 | derPhaseCCF = angAllCCF[:,1:] - angAllCCF[:,0:-1] | |
| 3393 | indDer = numpy.where(numpy.abs(derPhaseCCF) > numpy.pi) |
|
3396 | indDer = numpy.where(numpy.abs(derPhaseCCF) > numpy.pi) | |
| 3394 |
|
3397 | |||
| 3395 | if indDer[0].shape[0] > 0: |
|
3398 | if indDer[0].shape[0] > 0: | |
| 3396 | for i in range(indDer[0].shape[0]): |
|
3399 | for i in range(indDer[0].shape[0]): | |
| 3397 | signo = -numpy.sign(derPhaseCCF[indDer[0][i],indDer[1][i]]) |
|
3400 | signo = -numpy.sign(derPhaseCCF[indDer[0][i],indDer[1][i]]) | |
| 3398 | angAllCCF[indDer[0][i],indDer[1][i]+1:] += signo*2*numpy.pi |
|
3401 | angAllCCF[indDer[0][i],indDer[1][i]+1:] += signo*2*numpy.pi | |
| 3399 |
|
3402 | |||
| 3400 | # fit = scipy.stats.linregress(numpy.array([-2,-1,1,2])*timeInterval, numpy.array([phaseLagN2s[i],phaseLagN1s[i],phaseLag1s[i],phaseLag2s[i]])) |
|
3403 | # fit = scipy.stats.linregress(numpy.array([-2,-1,1,2])*timeInterval, numpy.array([phaseLagN2s[i],phaseLagN1s[i],phaseLag1s[i],phaseLag2s[i]])) | |
| 3401 | for j in range(numPairs): |
|
3404 | for j in range(numPairs): | |
| 3402 | fit = stats.linregress(time, angAllCCF[j,:]) |
|
3405 | fit = stats.linregress(time, angAllCCF[j,:]) | |
| 3403 | slopes[j] = fit[0] |
|
3406 | slopes[j] = fit[0] | |
| 3404 |
|
3407 | |||
| 3405 | #Remove Outlier |
|
3408 | #Remove Outlier | |
| 3406 | # indOut = numpy.argmax(numpy.abs(slopes - numpy.mean(slopes))) |
|
3409 | # indOut = numpy.argmax(numpy.abs(slopes - numpy.mean(slopes))) | |
| 3407 | # slopes = numpy.delete(slopes,indOut) |
|
3410 | # slopes = numpy.delete(slopes,indOut) | |
| 3408 | # indOut = numpy.argmax(numpy.abs(slopes - numpy.mean(slopes))) |
|
3411 | # indOut = numpy.argmax(numpy.abs(slopes - numpy.mean(slopes))) | |
| 3409 | # slopes = numpy.delete(slopes,indOut) |
|
3412 | # slopes = numpy.delete(slopes,indOut) | |
| 3410 |
|
3413 | |||
| 3411 | radialVelocity = -numpy.mean(slopes)*(0.25/numpy.pi)*(c/freq) |
|
3414 | radialVelocity = -numpy.mean(slopes)*(0.25/numpy.pi)*(c/freq) | |
| 3412 | radialError = numpy.std(slopes)*(0.25/numpy.pi)*(c/freq) |
|
3415 | radialError = numpy.std(slopes)*(0.25/numpy.pi)*(c/freq) | |
| 3413 | meteorAux[-2] = radialError |
|
3416 | meteorAux[-2] = radialError | |
| 3414 | meteorAux[-3] = radialVelocity |
|
3417 | meteorAux[-3] = radialVelocity | |
| 3415 |
|
3418 | |||
| 3416 | #Setting Error |
|
3419 | #Setting Error | |
| 3417 | #Number 15: Radial Drift velocity or projected horizontal velocity exceeds 200 m/s |
|
3420 | #Number 15: Radial Drift velocity or projected horizontal velocity exceeds 200 m/s | |
| 3418 | if numpy.abs(radialVelocity) > 200: |
|
3421 | if numpy.abs(radialVelocity) > 200: | |
| 3419 | meteorAux[-1] = 15 |
|
3422 | meteorAux[-1] = 15 | |
| 3420 | #Number 12: Poor fit to CCF variation for estimation of radial drift velocity |
|
3423 | #Number 12: Poor fit to CCF variation for estimation of radial drift velocity | |
| 3421 | elif radialError > radialStdThresh: |
|
3424 | elif radialError > radialStdThresh: | |
| 3422 | meteorAux[-1] = 12 |
|
3425 | meteorAux[-1] = 12 | |
| 3423 |
|
3426 | |||
| 3424 | listMeteors1.append(meteorAux) |
|
3427 | listMeteors1.append(meteorAux) | |
| 3425 | return listMeteors1 |
|
3428 | return listMeteors1 | |
| 3426 |
|
3429 | |||
| 3427 | def __setNewArrays(self, listMeteors, date, heiRang): |
|
3430 | def __setNewArrays(self, listMeteors, date, heiRang): | |
| 3428 |
|
3431 | |||
| 3429 | #New arrays |
|
3432 | #New arrays | |
| 3430 | arrayMeteors = numpy.array(listMeteors) |
|
3433 | arrayMeteors = numpy.array(listMeteors) | |
| 3431 | arrayParameters = numpy.zeros((len(listMeteors), 13)) |
|
3434 | arrayParameters = numpy.zeros((len(listMeteors), 13)) | |
| 3432 |
|
3435 | |||
| 3433 | #Date inclusion |
|
3436 | #Date inclusion | |
| 3434 | # date = re.findall(r'\((.*?)\)', date) |
|
3437 | # date = re.findall(r'\((.*?)\)', date) | |
| 3435 | # date = date[0].split(',') |
|
3438 | # date = date[0].split(',') | |
| 3436 | # date = map(int, date) |
|
3439 | # date = map(int, date) | |
| 3437 | # |
|
3440 | # | |
| 3438 | # if len(date)<6: |
|
3441 | # if len(date)<6: | |
| 3439 | # date.append(0) |
|
3442 | # date.append(0) | |
| 3440 | # |
|
3443 | # | |
| 3441 | # date = [date[0]*10000 + date[1]*100 + date[2], date[3]*10000 + date[4]*100 + date[5]] |
|
3444 | # date = [date[0]*10000 + date[1]*100 + date[2], date[3]*10000 + date[4]*100 + date[5]] | |
| 3442 | # arrayDate = numpy.tile(date, (len(listMeteors), 1)) |
|
3445 | # arrayDate = numpy.tile(date, (len(listMeteors), 1)) | |
| 3443 | arrayDate = numpy.tile(date, (len(listMeteors))) |
|
3446 | arrayDate = numpy.tile(date, (len(listMeteors))) | |
| 3444 |
|
3447 | |||
| 3445 | #Meteor array |
|
3448 | #Meteor array | |
| 3446 | # arrayMeteors[:,0] = heiRang[arrayMeteors[:,0].astype(int)] |
|
3449 | # arrayMeteors[:,0] = heiRang[arrayMeteors[:,0].astype(int)] | |
| 3447 | # arrayMeteors = numpy.hstack((arrayDate, arrayMeteors)) |
|
3450 | # arrayMeteors = numpy.hstack((arrayDate, arrayMeteors)) | |
| 3448 |
|
3451 | |||
| 3449 | #Parameters Array |
|
3452 | #Parameters Array | |
| 3450 | arrayParameters[:,0] = arrayDate #Date |
|
3453 | arrayParameters[:,0] = arrayDate #Date | |
| 3451 | arrayParameters[:,1] = heiRang[arrayMeteors[:,0].astype(int)] #Range |
|
3454 | arrayParameters[:,1] = heiRang[arrayMeteors[:,0].astype(int)] #Range | |
| 3452 | arrayParameters[:,6:8] = arrayMeteors[:,-3:-1] #Radial velocity and its error |
|
3455 | arrayParameters[:,6:8] = arrayMeteors[:,-3:-1] #Radial velocity and its error | |
| 3453 | arrayParameters[:,8:12] = arrayMeteors[:,7:11] #Phases |
|
3456 | arrayParameters[:,8:12] = arrayMeteors[:,7:11] #Phases | |
| 3454 | arrayParameters[:,-1] = arrayMeteors[:,-1] #Error |
|
3457 | arrayParameters[:,-1] = arrayMeteors[:,-1] #Error | |
| 3455 |
|
3458 | |||
| 3456 |
|
3459 | |||
| 3457 | return arrayParameters |
|
3460 | return arrayParameters | |
| 3458 |
|
3461 | |||
| 3459 | class CorrectSMPhases(Operation): |
|
3462 | class CorrectSMPhases(Operation): | |
| 3460 |
|
3463 | |||
| 3461 | def run(self, dataOut, phaseOffsets, hmin = 50, hmax = 150, azimuth = 45, channelPositions = None): |
|
3464 | def run(self, dataOut, phaseOffsets, hmin = 50, hmax = 150, azimuth = 45, channelPositions = None): | |
| 3462 |
|
3465 | |||
| 3463 | arrayParameters = dataOut.data_param |
|
3466 | arrayParameters = dataOut.data_param | |
| 3464 | pairsList = [] |
|
3467 | pairsList = [] | |
| 3465 | pairx = (0,1) |
|
3468 | pairx = (0,1) | |
| 3466 | pairy = (2,3) |
|
3469 | pairy = (2,3) | |
| 3467 | pairsList.append(pairx) |
|
3470 | pairsList.append(pairx) | |
| 3468 | pairsList.append(pairy) |
|
3471 | pairsList.append(pairy) | |
| 3469 | jph = numpy.zeros(4) |
|
3472 | jph = numpy.zeros(4) | |
| 3470 |
|
3473 | |||
| 3471 | phaseOffsets = numpy.array(phaseOffsets)*numpy.pi/180 |
|
3474 | phaseOffsets = numpy.array(phaseOffsets)*numpy.pi/180 | |
| 3472 | # arrayParameters[:,8:12] = numpy.unwrap(arrayParameters[:,8:12] + phaseOffsets) |
|
3475 | # arrayParameters[:,8:12] = numpy.unwrap(arrayParameters[:,8:12] + phaseOffsets) | |
| 3473 | arrayParameters[:,8:12] = numpy.angle(numpy.exp(1j*(arrayParameters[:,8:12] + phaseOffsets))) |
|
3476 | arrayParameters[:,8:12] = numpy.angle(numpy.exp(1j*(arrayParameters[:,8:12] + phaseOffsets))) | |
| 3474 |
|
3477 | |||
| 3475 | meteorOps = SMOperations() |
|
3478 | meteorOps = SMOperations() | |
| 3476 | if channelPositions == None: |
|
3479 | if channelPositions == None: | |
| 3477 | # channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)] #T |
|
3480 | # channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)] #T | |
| 3478 | channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)] #Estrella |
|
3481 | channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)] #Estrella | |
| 3479 |
|
3482 | |||
| 3480 | pairslist0, distances = meteorOps.getPhasePairs(channelPositions) |
|
3483 | pairslist0, distances = meteorOps.getPhasePairs(channelPositions) | |
| 3481 | h = (hmin,hmax) |
|
3484 | h = (hmin,hmax) | |
| 3482 |
|
3485 | |||
| 3483 | arrayParameters = meteorOps.getMeteorParams(arrayParameters, azimuth, h, pairsList, distances, jph) |
|
3486 | arrayParameters = meteorOps.getMeteorParams(arrayParameters, azimuth, h, pairsList, distances, jph) | |
| 3484 |
|
3487 | |||
| 3485 | dataOut.data_param = arrayParameters |
|
3488 | dataOut.data_param = arrayParameters | |
| 3486 | return |
|
3489 | return | |
| 3487 |
|
3490 | |||
| 3488 | class SMPhaseCalibration(Operation): |
|
3491 | class SMPhaseCalibration(Operation): | |
| 3489 |
|
3492 | |||
| 3490 | __buffer = None |
|
3493 | __buffer = None | |
| 3491 |
|
3494 | |||
| 3492 | __initime = None |
|
3495 | __initime = None | |
| 3493 |
|
3496 | |||
| 3494 | __dataReady = False |
|
3497 | __dataReady = False | |
| 3495 |
|
3498 | |||
| 3496 | __isConfig = False |
|
3499 | __isConfig = False | |
| 3497 |
|
3500 | |||
| 3498 | def __checkTime(self, currentTime, initTime, paramInterval, outputInterval): |
|
3501 | def __checkTime(self, currentTime, initTime, paramInterval, outputInterval): | |
| 3499 |
|
3502 | |||
| 3500 | dataTime = currentTime + paramInterval |
|
3503 | dataTime = currentTime + paramInterval | |
| 3501 | deltaTime = dataTime - initTime |
|
3504 | deltaTime = dataTime - initTime | |
| 3502 |
|
3505 | |||
| 3503 | if deltaTime >= outputInterval or deltaTime < 0: |
|
3506 | if deltaTime >= outputInterval or deltaTime < 0: | |
| 3504 | return True |
|
3507 | return True | |
| 3505 |
|
3508 | |||
| 3506 | return False |
|
3509 | return False | |
| 3507 |
|
3510 | |||
| 3508 | def __getGammas(self, pairs, d, phases): |
|
3511 | def __getGammas(self, pairs, d, phases): | |
| 3509 | gammas = numpy.zeros(2) |
|
3512 | gammas = numpy.zeros(2) | |
| 3510 |
|
3513 | |||
| 3511 | for i in range(len(pairs)): |
|
3514 | for i in range(len(pairs)): | |
| 3512 |
|
3515 | |||
| 3513 | pairi = pairs[i] |
|
3516 | pairi = pairs[i] | |
| 3514 |
|
3517 | |||
| 3515 | phip3 = phases[:,pairi[0]] |
|
3518 | phip3 = phases[:,pairi[0]] | |
| 3516 | d3 = d[pairi[0]] |
|
3519 | d3 = d[pairi[0]] | |
| 3517 | phip2 = phases[:,pairi[1]] |
|
3520 | phip2 = phases[:,pairi[1]] | |
| 3518 | d2 = d[pairi[1]] |
|
3521 | d2 = d[pairi[1]] | |
| 3519 | #Calculating gamma |
|
3522 | #Calculating gamma | |
| 3520 | # jdcos = alp1/(k*d1) |
|
3523 | # jdcos = alp1/(k*d1) | |
| 3521 | # jgamma = numpy.angle(numpy.exp(1j*(d0*alp1/d1 - alp0))) |
|
3524 | # jgamma = numpy.angle(numpy.exp(1j*(d0*alp1/d1 - alp0))) | |
| 3522 | jgamma = -phip2*d3/d2 - phip3 |
|
3525 | jgamma = -phip2*d3/d2 - phip3 | |
| 3523 | jgamma = numpy.angle(numpy.exp(1j*jgamma)) |
|
3526 | jgamma = numpy.angle(numpy.exp(1j*jgamma)) | |
| 3524 | # jgamma[jgamma>numpy.pi] -= 2*numpy.pi |
|
3527 | # jgamma[jgamma>numpy.pi] -= 2*numpy.pi | |
| 3525 | # jgamma[jgamma<-numpy.pi] += 2*numpy.pi |
|
3528 | # jgamma[jgamma<-numpy.pi] += 2*numpy.pi | |
| 3526 |
|
3529 | |||
| 3527 | #Revised distribution |
|
3530 | #Revised distribution | |
| 3528 | jgammaArray = numpy.hstack((jgamma,jgamma+0.5*numpy.pi,jgamma-0.5*numpy.pi)) |
|
3531 | jgammaArray = numpy.hstack((jgamma,jgamma+0.5*numpy.pi,jgamma-0.5*numpy.pi)) | |
| 3529 |
|
3532 | |||
| 3530 | #Histogram |
|
3533 | #Histogram | |
| 3531 | nBins = 64 |
|
3534 | nBins = 64 | |
| 3532 | rmin = -0.5*numpy.pi |
|
3535 | rmin = -0.5*numpy.pi | |
| 3533 | rmax = 0.5*numpy.pi |
|
3536 | rmax = 0.5*numpy.pi | |
| 3534 | phaseHisto = numpy.histogram(jgammaArray, bins=nBins, range=(rmin,rmax)) |
|
3537 | phaseHisto = numpy.histogram(jgammaArray, bins=nBins, range=(rmin,rmax)) | |
| 3535 |
|
3538 | |||
| 3536 | meteorsY = phaseHisto[0] |
|
3539 | meteorsY = phaseHisto[0] | |
| 3537 | phasesX = phaseHisto[1][:-1] |
|
3540 | phasesX = phaseHisto[1][:-1] | |
| 3538 | width = phasesX[1] - phasesX[0] |
|
3541 | width = phasesX[1] - phasesX[0] | |
| 3539 | phasesX += width/2 |
|
3542 | phasesX += width/2 | |
| 3540 |
|
3543 | |||
| 3541 | #Gaussian aproximation |
|
3544 | #Gaussian aproximation | |
| 3542 | bpeak = meteorsY.argmax() |
|
3545 | bpeak = meteorsY.argmax() | |
| 3543 | peak = meteorsY.max() |
|
3546 | peak = meteorsY.max() | |
| 3544 | jmin = bpeak - 5 |
|
3547 | jmin = bpeak - 5 | |
| 3545 | jmax = bpeak + 5 + 1 |
|
3548 | jmax = bpeak + 5 + 1 | |
| 3546 |
|
3549 | |||
| 3547 | if jmin<0: |
|
3550 | if jmin<0: | |
| 3548 | jmin = 0 |
|
3551 | jmin = 0 | |
| 3549 | jmax = 6 |
|
3552 | jmax = 6 | |
| 3550 | elif jmax > meteorsY.size: |
|
3553 | elif jmax > meteorsY.size: | |
| 3551 | jmin = meteorsY.size - 6 |
|
3554 | jmin = meteorsY.size - 6 | |
| 3552 | jmax = meteorsY.size |
|
3555 | jmax = meteorsY.size | |
| 3553 |
|
3556 | |||
| 3554 | x0 = numpy.array([peak,bpeak,50]) |
|
3557 | x0 = numpy.array([peak,bpeak,50]) | |
| 3555 | coeff = optimize.leastsq(self.__residualFunction, x0, args=(meteorsY[jmin:jmax], phasesX[jmin:jmax])) |
|
3558 | coeff = optimize.leastsq(self.__residualFunction, x0, args=(meteorsY[jmin:jmax], phasesX[jmin:jmax])) | |
| 3556 |
|
3559 | |||
| 3557 | #Gammas |
|
3560 | #Gammas | |
| 3558 | gammas[i] = coeff[0][1] |
|
3561 | gammas[i] = coeff[0][1] | |
| 3559 |
|
3562 | |||
| 3560 | return gammas |
|
3563 | return gammas | |
| 3561 |
|
3564 | |||
| 3562 | def __residualFunction(self, coeffs, y, t): |
|
3565 | def __residualFunction(self, coeffs, y, t): | |
| 3563 |
|
3566 | |||
| 3564 | return y - self.__gauss_function(t, coeffs) |
|
3567 | return y - self.__gauss_function(t, coeffs) | |
| 3565 |
|
3568 | |||
| 3566 | def __gauss_function(self, t, coeffs): |
|
3569 | def __gauss_function(self, t, coeffs): | |
| 3567 |
|
3570 | |||
| 3568 | return coeffs[0]*numpy.exp(-0.5*((t - coeffs[1]) / coeffs[2])**2) |
|
3571 | return coeffs[0]*numpy.exp(-0.5*((t - coeffs[1]) / coeffs[2])**2) | |
| 3569 |
|
3572 | |||
| 3570 | def __getPhases(self, azimuth, h, pairsList, d, gammas, meteorsArray): |
|
3573 | def __getPhases(self, azimuth, h, pairsList, d, gammas, meteorsArray): | |
| 3571 | meteorOps = SMOperations() |
|
3574 | meteorOps = SMOperations() | |
| 3572 | nchan = 4 |
|
3575 | nchan = 4 | |
| 3573 | pairx = pairsList[0] #x es 0 |
|
3576 | pairx = pairsList[0] #x es 0 | |
| 3574 | pairy = pairsList[1] #y es 1 |
|
3577 | pairy = pairsList[1] #y es 1 | |
| 3575 | center_xangle = 0 |
|
3578 | center_xangle = 0 | |
| 3576 | center_yangle = 0 |
|
3579 | center_yangle = 0 | |
| 3577 | range_angle = numpy.array([10*numpy.pi,numpy.pi,numpy.pi/2,numpy.pi/4]) |
|
3580 | range_angle = numpy.array([10*numpy.pi,numpy.pi,numpy.pi/2,numpy.pi/4]) | |
| 3578 | ntimes = len(range_angle) |
|
3581 | ntimes = len(range_angle) | |
| 3579 |
|
3582 | |||
| 3580 | nstepsx = 20 |
|
3583 | nstepsx = 20 | |
| 3581 | nstepsy = 20 |
|
3584 | nstepsy = 20 | |
| 3582 |
|
3585 | |||
| 3583 | for iz in range(ntimes): |
|
3586 | for iz in range(ntimes): | |
| 3584 | min_xangle = -range_angle[iz]/2 + center_xangle |
|
3587 | min_xangle = -range_angle[iz]/2 + center_xangle | |
| 3585 | max_xangle = range_angle[iz]/2 + center_xangle |
|
3588 | max_xangle = range_angle[iz]/2 + center_xangle | |
| 3586 | min_yangle = -range_angle[iz]/2 + center_yangle |
|
3589 | min_yangle = -range_angle[iz]/2 + center_yangle | |
| 3587 | max_yangle = range_angle[iz]/2 + center_yangle |
|
3590 | max_yangle = range_angle[iz]/2 + center_yangle | |
| 3588 |
|
3591 | |||
| 3589 | inc_x = (max_xangle-min_xangle)/nstepsx |
|
3592 | inc_x = (max_xangle-min_xangle)/nstepsx | |
| 3590 | inc_y = (max_yangle-min_yangle)/nstepsy |
|
3593 | inc_y = (max_yangle-min_yangle)/nstepsy | |
| 3591 |
|
3594 | |||
| 3592 | alpha_y = numpy.arange(nstepsy)*inc_y + min_yangle |
|
3595 | alpha_y = numpy.arange(nstepsy)*inc_y + min_yangle | |
| 3593 | alpha_x = numpy.arange(nstepsx)*inc_x + min_xangle |
|
3596 | alpha_x = numpy.arange(nstepsx)*inc_x + min_xangle | |
| 3594 | penalty = numpy.zeros((nstepsx,nstepsy)) |
|
3597 | penalty = numpy.zeros((nstepsx,nstepsy)) | |
| 3595 | jph_array = numpy.zeros((nchan,nstepsx,nstepsy)) |
|
3598 | jph_array = numpy.zeros((nchan,nstepsx,nstepsy)) | |
| 3596 | jph = numpy.zeros(nchan) |
|
3599 | jph = numpy.zeros(nchan) | |
| 3597 |
|
3600 | |||
| 3598 | # Iterations looking for the offset |
|
3601 | # Iterations looking for the offset | |
| 3599 | for iy in range(int(nstepsy)): |
|
3602 | for iy in range(int(nstepsy)): | |
| 3600 | for ix in range(int(nstepsx)): |
|
3603 | for ix in range(int(nstepsx)): | |
| 3601 | d3 = d[pairsList[1][0]] |
|
3604 | d3 = d[pairsList[1][0]] | |
| 3602 | d2 = d[pairsList[1][1]] |
|
3605 | d2 = d[pairsList[1][1]] | |
| 3603 | d5 = d[pairsList[0][0]] |
|
3606 | d5 = d[pairsList[0][0]] | |
| 3604 | d4 = d[pairsList[0][1]] |
|
3607 | d4 = d[pairsList[0][1]] | |
| 3605 |
|
3608 | |||
| 3606 | alp2 = alpha_y[iy] #gamma 1 |
|
3609 | alp2 = alpha_y[iy] #gamma 1 | |
| 3607 | alp4 = alpha_x[ix] #gamma 0 |
|
3610 | alp4 = alpha_x[ix] #gamma 0 | |
| 3608 |
|
3611 | |||
| 3609 | alp3 = -alp2*d3/d2 - gammas[1] |
|
3612 | alp3 = -alp2*d3/d2 - gammas[1] | |
| 3610 | alp5 = -alp4*d5/d4 - gammas[0] |
|
3613 | alp5 = -alp4*d5/d4 - gammas[0] | |
| 3611 | # jph[pairy[1]] = alpha_y[iy] |
|
3614 | # jph[pairy[1]] = alpha_y[iy] | |
| 3612 | # jph[pairy[0]] = -gammas[1] - alpha_y[iy]*d[pairy[1]]/d[pairy[0]] |
|
3615 | # jph[pairy[0]] = -gammas[1] - alpha_y[iy]*d[pairy[1]]/d[pairy[0]] | |
| 3613 |
|
3616 | |||
| 3614 | # jph[pairx[1]] = alpha_x[ix] |
|
3617 | # jph[pairx[1]] = alpha_x[ix] | |
| 3615 | # jph[pairx[0]] = -gammas[0] - alpha_x[ix]*d[pairx[1]]/d[pairx[0]] |
|
3618 | # jph[pairx[0]] = -gammas[0] - alpha_x[ix]*d[pairx[1]]/d[pairx[0]] | |
| 3616 | jph[pairsList[0][1]] = alp4 |
|
3619 | jph[pairsList[0][1]] = alp4 | |
| 3617 | jph[pairsList[0][0]] = alp5 |
|
3620 | jph[pairsList[0][0]] = alp5 | |
| 3618 | jph[pairsList[1][0]] = alp3 |
|
3621 | jph[pairsList[1][0]] = alp3 | |
| 3619 | jph[pairsList[1][1]] = alp2 |
|
3622 | jph[pairsList[1][1]] = alp2 | |
| 3620 | jph_array[:,ix,iy] = jph |
|
3623 | jph_array[:,ix,iy] = jph | |
| 3621 | # d = [2.0,2.5,2.5,2.0] |
|
3624 | # d = [2.0,2.5,2.5,2.0] | |
| 3622 | #falta chequear si va a leer bien los meteoros |
|
3625 | #falta chequear si va a leer bien los meteoros | |
| 3623 | meteorsArray1 = meteorOps.getMeteorParams(meteorsArray, azimuth, h, pairsList, d, jph) |
|
3626 | meteorsArray1 = meteorOps.getMeteorParams(meteorsArray, azimuth, h, pairsList, d, jph) | |
| 3624 | error = meteorsArray1[:,-1] |
|
3627 | error = meteorsArray1[:,-1] | |
| 3625 | ind1 = numpy.where(error==0)[0] |
|
3628 | ind1 = numpy.where(error==0)[0] | |
| 3626 | penalty[ix,iy] = ind1.size |
|
3629 | penalty[ix,iy] = ind1.size | |
| 3627 |
|
3630 | |||
| 3628 | i,j = numpy.unravel_index(penalty.argmax(), penalty.shape) |
|
3631 | i,j = numpy.unravel_index(penalty.argmax(), penalty.shape) | |
| 3629 | phOffset = jph_array[:,i,j] |
|
3632 | phOffset = jph_array[:,i,j] | |
| 3630 |
|
3633 | |||
| 3631 | center_xangle = phOffset[pairx[1]] |
|
3634 | center_xangle = phOffset[pairx[1]] | |
| 3632 | center_yangle = phOffset[pairy[1]] |
|
3635 | center_yangle = phOffset[pairy[1]] | |
| 3633 |
|
3636 | |||
| 3634 | phOffset = numpy.angle(numpy.exp(1j*jph_array[:,i,j])) |
|
3637 | phOffset = numpy.angle(numpy.exp(1j*jph_array[:,i,j])) | |
| 3635 | phOffset = phOffset*180/numpy.pi |
|
3638 | phOffset = phOffset*180/numpy.pi | |
| 3636 | return phOffset |
|
3639 | return phOffset | |
| 3637 |
|
3640 | |||
| 3638 |
|
3641 | |||
| 3639 | def run(self, dataOut, hmin, hmax, channelPositions=None, nHours = 1): |
|
3642 | def run(self, dataOut, hmin, hmax, channelPositions=None, nHours = 1): | |
| 3640 |
|
3643 | |||
| 3641 | dataOut.flagNoData = True |
|
3644 | dataOut.flagNoData = True | |
| 3642 | self.__dataReady = False |
|
3645 | self.__dataReady = False | |
| 3643 | dataOut.outputInterval = nHours*3600 |
|
3646 | dataOut.outputInterval = nHours*3600 | |
| 3644 |
|
3647 | |||
| 3645 | if self.__isConfig == False: |
|
3648 | if self.__isConfig == False: | |
| 3646 | # self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03) |
|
3649 | # self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03) | |
| 3647 | #Get Initial LTC time |
|
3650 | #Get Initial LTC time | |
| 3648 | self.__initime = datetime.datetime.utcfromtimestamp(dataOut.utctime) |
|
3651 | self.__initime = datetime.datetime.utcfromtimestamp(dataOut.utctime) | |
| 3649 | self.__initime = (self.__initime.replace(minute = 0, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
3652 | self.__initime = (self.__initime.replace(minute = 0, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds() | |
| 3650 |
|
3653 | |||
| 3651 | self.__isConfig = True |
|
3654 | self.__isConfig = True | |
| 3652 |
|
3655 | |||
| 3653 | if self.__buffer == None: |
|
3656 | if self.__buffer == None: | |
| 3654 | self.__buffer = dataOut.data_param.copy() |
|
3657 | self.__buffer = dataOut.data_param.copy() | |
| 3655 |
|
3658 | |||
| 3656 | else: |
|
3659 | else: | |
| 3657 | self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param)) |
|
3660 | self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param)) | |
| 3658 |
|
3661 | |||
| 3659 | self.__dataReady = self.__checkTime(dataOut.utctime, self.__initime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready |
|
3662 | self.__dataReady = self.__checkTime(dataOut.utctime, self.__initime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready | |
| 3660 |
|
3663 | |||
| 3661 | if self.__dataReady: |
|
3664 | if self.__dataReady: | |
| 3662 | dataOut.utctimeInit = self.__initime |
|
3665 | dataOut.utctimeInit = self.__initime | |
| 3663 | self.__initime += dataOut.outputInterval #to erase time offset |
|
3666 | self.__initime += dataOut.outputInterval #to erase time offset | |
| 3664 |
|
3667 | |||
| 3665 | freq = dataOut.frequency |
|
3668 | freq = dataOut.frequency | |
| 3666 | c = dataOut.C #m/s |
|
3669 | c = dataOut.C #m/s | |
| 3667 | lamb = c/freq |
|
3670 | lamb = c/freq | |
| 3668 | k = 2*numpy.pi/lamb |
|
3671 | k = 2*numpy.pi/lamb | |
| 3669 | azimuth = 0 |
|
3672 | azimuth = 0 | |
| 3670 | h = (hmin, hmax) |
|
3673 | h = (hmin, hmax) | |
| 3671 | # pairs = ((0,1),(2,3)) #Estrella |
|
3674 | # pairs = ((0,1),(2,3)) #Estrella | |
| 3672 | # pairs = ((1,0),(2,3)) #T |
|
3675 | # pairs = ((1,0),(2,3)) #T | |
| 3673 |
|
3676 | |||
| 3674 | if channelPositions is None: |
|
3677 | if channelPositions is None: | |
| 3675 | # channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)] #T |
|
3678 | # channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)] #T | |
| 3676 | channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)] #Estrella |
|
3679 | channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)] #Estrella | |
| 3677 | meteorOps = SMOperations() |
|
3680 | meteorOps = SMOperations() | |
| 3678 | pairslist0, distances = meteorOps.getPhasePairs(channelPositions) |
|
3681 | pairslist0, distances = meteorOps.getPhasePairs(channelPositions) | |
| 3679 |
|
3682 | |||
| 3680 | #Checking correct order of pairs |
|
3683 | #Checking correct order of pairs | |
| 3681 | pairs = [] |
|
3684 | pairs = [] | |
| 3682 | if distances[1] > distances[0]: |
|
3685 | if distances[1] > distances[0]: | |
| 3683 | pairs.append((1,0)) |
|
3686 | pairs.append((1,0)) | |
| 3684 | else: |
|
3687 | else: | |
| 3685 | pairs.append((0,1)) |
|
3688 | pairs.append((0,1)) | |
| 3686 |
|
3689 | |||
| 3687 | if distances[3] > distances[2]: |
|
3690 | if distances[3] > distances[2]: | |
| 3688 | pairs.append((3,2)) |
|
3691 | pairs.append((3,2)) | |
| 3689 | else: |
|
3692 | else: | |
| 3690 | pairs.append((2,3)) |
|
3693 | pairs.append((2,3)) | |
| 3691 | # distances1 = [-distances[0]*lamb, distances[1]*lamb, -distances[2]*lamb, distances[3]*lamb] |
|
3694 | # distances1 = [-distances[0]*lamb, distances[1]*lamb, -distances[2]*lamb, distances[3]*lamb] | |
| 3692 |
|
3695 | |||
| 3693 | meteorsArray = self.__buffer |
|
3696 | meteorsArray = self.__buffer | |
| 3694 | error = meteorsArray[:,-1] |
|
3697 | error = meteorsArray[:,-1] | |
| 3695 | boolError = (error==0)|(error==3)|(error==4)|(error==13)|(error==14) |
|
3698 | boolError = (error==0)|(error==3)|(error==4)|(error==13)|(error==14) | |
| 3696 | ind1 = numpy.where(boolError)[0] |
|
3699 | ind1 = numpy.where(boolError)[0] | |
| 3697 | meteorsArray = meteorsArray[ind1,:] |
|
3700 | meteorsArray = meteorsArray[ind1,:] | |
| 3698 | meteorsArray[:,-1] = 0 |
|
3701 | meteorsArray[:,-1] = 0 | |
| 3699 | phases = meteorsArray[:,8:12] |
|
3702 | phases = meteorsArray[:,8:12] | |
| 3700 |
|
3703 | |||
| 3701 | #Calculate Gammas |
|
3704 | #Calculate Gammas | |
| 3702 | gammas = self.__getGammas(pairs, distances, phases) |
|
3705 | gammas = self.__getGammas(pairs, distances, phases) | |
| 3703 | # gammas = numpy.array([-21.70409463,45.76935864])*numpy.pi/180 |
|
3706 | # gammas = numpy.array([-21.70409463,45.76935864])*numpy.pi/180 | |
| 3704 | #Calculate Phases |
|
3707 | #Calculate Phases | |
| 3705 | phasesOff = self.__getPhases(azimuth, h, pairs, distances, gammas, meteorsArray) |
|
3708 | phasesOff = self.__getPhases(azimuth, h, pairs, distances, gammas, meteorsArray) | |
| 3706 | phasesOff = phasesOff.reshape((1,phasesOff.size)) |
|
3709 | phasesOff = phasesOff.reshape((1,phasesOff.size)) | |
| 3707 | dataOut.data_output = -phasesOff |
|
3710 | dataOut.data_output = -phasesOff | |
| 3708 | dataOut.flagNoData = False |
|
3711 | dataOut.flagNoData = False | |
| 3709 | self.__buffer = None |
|
3712 | self.__buffer = None | |
| 3710 |
|
3713 | |||
| 3711 |
|
3714 | |||
| 3712 | return |
|
3715 | return | |
| 3713 |
|
3716 | |||
| 3714 | class SMOperations(): |
|
3717 | class SMOperations(): | |
| 3715 |
|
3718 | |||
| 3716 | def __init__(self): |
|
3719 | def __init__(self): | |
| 3717 |
|
3720 | |||
| 3718 | return |
|
3721 | return | |
| 3719 |
|
3722 | |||
| 3720 | def getMeteorParams(self, arrayParameters0, azimuth, h, pairsList, distances, jph): |
|
3723 | def getMeteorParams(self, arrayParameters0, azimuth, h, pairsList, distances, jph): | |
| 3721 |
|
3724 | |||
| 3722 | arrayParameters = arrayParameters0.copy() |
|
3725 | arrayParameters = arrayParameters0.copy() | |
| 3723 | hmin = h[0] |
|
3726 | hmin = h[0] | |
| 3724 | hmax = h[1] |
|
3727 | hmax = h[1] | |
| 3725 |
|
3728 | |||
| 3726 | #Calculate AOA (Error N 3, 4) |
|
3729 | #Calculate AOA (Error N 3, 4) | |
| 3727 | #JONES ET AL. 1998 |
|
3730 | #JONES ET AL. 1998 | |
| 3728 | AOAthresh = numpy.pi/8 |
|
3731 | AOAthresh = numpy.pi/8 | |
| 3729 | error = arrayParameters[:,-1] |
|
3732 | error = arrayParameters[:,-1] | |
| 3730 | phases = -arrayParameters[:,8:12] + jph |
|
3733 | phases = -arrayParameters[:,8:12] + jph | |
| 3731 | # phases = numpy.unwrap(phases) |
|
3734 | # phases = numpy.unwrap(phases) | |
| 3732 | arrayParameters[:,3:6], arrayParameters[:,-1] = self.__getAOA(phases, pairsList, distances, error, AOAthresh, azimuth) |
|
3735 | arrayParameters[:,3:6], arrayParameters[:,-1] = self.__getAOA(phases, pairsList, distances, error, AOAthresh, azimuth) | |
| 3733 |
|
3736 | |||
| 3734 | #Calculate Heights (Error N 13 and 14) |
|
3737 | #Calculate Heights (Error N 13 and 14) | |
| 3735 | error = arrayParameters[:,-1] |
|
3738 | error = arrayParameters[:,-1] | |
| 3736 | Ranges = arrayParameters[:,1] |
|
3739 | Ranges = arrayParameters[:,1] | |
| 3737 | zenith = arrayParameters[:,4] |
|
3740 | zenith = arrayParameters[:,4] | |
| 3738 | arrayParameters[:,2], arrayParameters[:,-1] = self.__getHeights(Ranges, zenith, error, hmin, hmax) |
|
3741 | arrayParameters[:,2], arrayParameters[:,-1] = self.__getHeights(Ranges, zenith, error, hmin, hmax) | |
| 3739 |
|
3742 | |||
| 3740 | #----------------------- Get Final data ------------------------------------ |
|
3743 | #----------------------- Get Final data ------------------------------------ | |
| 3741 | # error = arrayParameters[:,-1] |
|
3744 | # error = arrayParameters[:,-1] | |
| 3742 | # ind1 = numpy.where(error==0)[0] |
|
3745 | # ind1 = numpy.where(error==0)[0] | |
| 3743 | # arrayParameters = arrayParameters[ind1,:] |
|
3746 | # arrayParameters = arrayParameters[ind1,:] | |
| 3744 |
|
3747 | |||
| 3745 | return arrayParameters |
|
3748 | return arrayParameters | |
| 3746 |
|
3749 | |||
| 3747 | def __getAOA(self, phases, pairsList, directions, error, AOAthresh, azimuth): |
|
3750 | def __getAOA(self, phases, pairsList, directions, error, AOAthresh, azimuth): | |
| 3748 |
|
3751 | |||
| 3749 | arrayAOA = numpy.zeros((phases.shape[0],3)) |
|
3752 | arrayAOA = numpy.zeros((phases.shape[0],3)) | |
| 3750 | cosdir0, cosdir = self.__getDirectionCosines(phases, pairsList,directions) |
|
3753 | cosdir0, cosdir = self.__getDirectionCosines(phases, pairsList,directions) | |
| 3751 |
|
3754 | |||
| 3752 | arrayAOA[:,:2] = self.__calculateAOA(cosdir, azimuth) |
|
3755 | arrayAOA[:,:2] = self.__calculateAOA(cosdir, azimuth) | |
| 3753 | cosDirError = numpy.sum(numpy.abs(cosdir0 - cosdir), axis = 1) |
|
3756 | cosDirError = numpy.sum(numpy.abs(cosdir0 - cosdir), axis = 1) | |
| 3754 | arrayAOA[:,2] = cosDirError |
|
3757 | arrayAOA[:,2] = cosDirError | |
| 3755 |
|
3758 | |||
| 3756 | azimuthAngle = arrayAOA[:,0] |
|
3759 | azimuthAngle = arrayAOA[:,0] | |
| 3757 | zenithAngle = arrayAOA[:,1] |
|
3760 | zenithAngle = arrayAOA[:,1] | |
| 3758 |
|
3761 | |||
| 3759 | #Setting Error |
|
3762 | #Setting Error | |
| 3760 | indError = numpy.where(numpy.logical_or(error == 3, error == 4))[0] |
|
3763 | indError = numpy.where(numpy.logical_or(error == 3, error == 4))[0] | |
| 3761 | error[indError] = 0 |
|
3764 | error[indError] = 0 | |
| 3762 | #Number 3: AOA not fesible |
|
3765 | #Number 3: AOA not fesible | |
| 3763 | indInvalid = numpy.where(numpy.logical_and((numpy.logical_or(numpy.isnan(zenithAngle), numpy.isnan(azimuthAngle))),error == 0))[0] |
|
3766 | indInvalid = numpy.where(numpy.logical_and((numpy.logical_or(numpy.isnan(zenithAngle), numpy.isnan(azimuthAngle))),error == 0))[0] | |
| 3764 | error[indInvalid] = 3 |
|
3767 | error[indInvalid] = 3 | |
| 3765 | #Number 4: Large difference in AOAs obtained from different antenna baselines |
|
3768 | #Number 4: Large difference in AOAs obtained from different antenna baselines | |
| 3766 | indInvalid = numpy.where(numpy.logical_and(cosDirError > AOAthresh,error == 0))[0] |
|
3769 | indInvalid = numpy.where(numpy.logical_and(cosDirError > AOAthresh,error == 0))[0] | |
| 3767 | error[indInvalid] = 4 |
|
3770 | error[indInvalid] = 4 | |
| 3768 | return arrayAOA, error |
|
3771 | return arrayAOA, error | |
| 3769 |
|
3772 | |||
| 3770 | def __getDirectionCosines(self, arrayPhase, pairsList, distances): |
|
3773 | def __getDirectionCosines(self, arrayPhase, pairsList, distances): | |
| 3771 |
|
3774 | |||
| 3772 | #Initializing some variables |
|
3775 | #Initializing some variables | |
| 3773 | ang_aux = numpy.array([-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8])*2*numpy.pi |
|
3776 | ang_aux = numpy.array([-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8])*2*numpy.pi | |
| 3774 | ang_aux = ang_aux.reshape(1,ang_aux.size) |
|
3777 | ang_aux = ang_aux.reshape(1,ang_aux.size) | |
| 3775 |
|
3778 | |||
| 3776 | cosdir = numpy.zeros((arrayPhase.shape[0],2)) |
|
3779 | cosdir = numpy.zeros((arrayPhase.shape[0],2)) | |
| 3777 | cosdir0 = numpy.zeros((arrayPhase.shape[0],2)) |
|
3780 | cosdir0 = numpy.zeros((arrayPhase.shape[0],2)) | |
| 3778 |
|
3781 | |||
| 3779 |
|
3782 | |||
| 3780 | for i in range(2): |
|
3783 | for i in range(2): | |
| 3781 | ph0 = arrayPhase[:,pairsList[i][0]] |
|
3784 | ph0 = arrayPhase[:,pairsList[i][0]] | |
| 3782 | ph1 = arrayPhase[:,pairsList[i][1]] |
|
3785 | ph1 = arrayPhase[:,pairsList[i][1]] | |
| 3783 | d0 = distances[pairsList[i][0]] |
|
3786 | d0 = distances[pairsList[i][0]] | |
| 3784 | d1 = distances[pairsList[i][1]] |
|
3787 | d1 = distances[pairsList[i][1]] | |
| 3785 |
|
3788 | |||
| 3786 | ph0_aux = ph0 + ph1 |
|
3789 | ph0_aux = ph0 + ph1 | |
| 3787 | ph0_aux = numpy.angle(numpy.exp(1j*ph0_aux)) |
|
3790 | ph0_aux = numpy.angle(numpy.exp(1j*ph0_aux)) | |
| 3788 | # ph0_aux[ph0_aux > numpy.pi] -= 2*numpy.pi |
|
3791 | # ph0_aux[ph0_aux > numpy.pi] -= 2*numpy.pi | |
| 3789 | # ph0_aux[ph0_aux < -numpy.pi] += 2*numpy.pi |
|
3792 | # ph0_aux[ph0_aux < -numpy.pi] += 2*numpy.pi | |
| 3790 | #First Estimation |
|
3793 | #First Estimation | |
| 3791 | cosdir0[:,i] = (ph0_aux)/(2*numpy.pi*(d0 - d1)) |
|
3794 | cosdir0[:,i] = (ph0_aux)/(2*numpy.pi*(d0 - d1)) | |
| 3792 |
|
3795 | |||
| 3793 | #Most-Accurate Second Estimation |
|
3796 | #Most-Accurate Second Estimation | |
| 3794 | phi1_aux = ph0 - ph1 |
|
3797 | phi1_aux = ph0 - ph1 | |
| 3795 | phi1_aux = phi1_aux.reshape(phi1_aux.size,1) |
|
3798 | phi1_aux = phi1_aux.reshape(phi1_aux.size,1) | |
| 3796 | #Direction Cosine 1 |
|
3799 | #Direction Cosine 1 | |
| 3797 | cosdir1 = (phi1_aux + ang_aux)/(2*numpy.pi*(d0 + d1)) |
|
3800 | cosdir1 = (phi1_aux + ang_aux)/(2*numpy.pi*(d0 + d1)) | |
| 3798 |
|
3801 | |||
| 3799 | #Searching the correct Direction Cosine |
|
3802 | #Searching the correct Direction Cosine | |
| 3800 | cosdir0_aux = cosdir0[:,i] |
|
3803 | cosdir0_aux = cosdir0[:,i] | |
| 3801 | cosdir0_aux = cosdir0_aux.reshape(cosdir0_aux.size,1) |
|
3804 | cosdir0_aux = cosdir0_aux.reshape(cosdir0_aux.size,1) | |
| 3802 | #Minimum Distance |
|
3805 | #Minimum Distance | |
| 3803 | cosDiff = (cosdir1 - cosdir0_aux)**2 |
|
3806 | cosDiff = (cosdir1 - cosdir0_aux)**2 | |
| 3804 | indcos = cosDiff.argmin(axis = 1) |
|
3807 | indcos = cosDiff.argmin(axis = 1) | |
| 3805 | #Saving Value obtained |
|
3808 | #Saving Value obtained | |
| 3806 | cosdir[:,i] = cosdir1[numpy.arange(len(indcos)),indcos] |
|
3809 | cosdir[:,i] = cosdir1[numpy.arange(len(indcos)),indcos] | |
| 3807 |
|
3810 | |||
| 3808 | return cosdir0, cosdir |
|
3811 | return cosdir0, cosdir | |
| 3809 |
|
3812 | |||
| 3810 | def __calculateAOA(self, cosdir, azimuth): |
|
3813 | def __calculateAOA(self, cosdir, azimuth): | |
| 3811 | cosdirX = cosdir[:,0] |
|
3814 | cosdirX = cosdir[:,0] | |
| 3812 | cosdirY = cosdir[:,1] |
|
3815 | cosdirY = cosdir[:,1] | |
| 3813 |
|
3816 | |||
| 3814 | zenithAngle = numpy.arccos(numpy.sqrt(1 - cosdirX**2 - cosdirY**2))*180/numpy.pi |
|
3817 | zenithAngle = numpy.arccos(numpy.sqrt(1 - cosdirX**2 - cosdirY**2))*180/numpy.pi | |
| 3815 | azimuthAngle = numpy.arctan2(cosdirX,cosdirY)*180/numpy.pi + azimuth#0 deg north, 90 deg east |
|
3818 | azimuthAngle = numpy.arctan2(cosdirX,cosdirY)*180/numpy.pi + azimuth#0 deg north, 90 deg east | |
| 3816 | angles = numpy.vstack((azimuthAngle, zenithAngle)).transpose() |
|
3819 | angles = numpy.vstack((azimuthAngle, zenithAngle)).transpose() | |
| 3817 |
|
3820 | |||
| 3818 | return angles |
|
3821 | return angles | |
| 3819 |
|
3822 | |||
| 3820 | def __getHeights(self, Ranges, zenith, error, minHeight, maxHeight): |
|
3823 | def __getHeights(self, Ranges, zenith, error, minHeight, maxHeight): | |
| 3821 |
|
3824 | |||
| 3822 | Ramb = 375 #Ramb = c/(2*PRF) |
|
3825 | Ramb = 375 #Ramb = c/(2*PRF) | |
| 3823 | Re = 6371 #Earth Radius |
|
3826 | Re = 6371 #Earth Radius | |
| 3824 | heights = numpy.zeros(Ranges.shape) |
|
3827 | heights = numpy.zeros(Ranges.shape) | |
| 3825 |
|
3828 | |||
| 3826 | R_aux = numpy.array([0,1,2])*Ramb |
|
3829 | R_aux = numpy.array([0,1,2])*Ramb | |
| 3827 | R_aux = R_aux.reshape(1,R_aux.size) |
|
3830 | R_aux = R_aux.reshape(1,R_aux.size) | |
| 3828 |
|
3831 | |||
| 3829 | Ranges = Ranges.reshape(Ranges.size,1) |
|
3832 | Ranges = Ranges.reshape(Ranges.size,1) | |
| 3830 |
|
3833 | |||
| 3831 | Ri = Ranges + R_aux |
|
3834 | Ri = Ranges + R_aux | |
| 3832 | hi = numpy.sqrt(Re**2 + Ri**2 + (2*Re*numpy.cos(zenith*numpy.pi/180)*Ri.transpose()).transpose()) - Re |
|
3835 | hi = numpy.sqrt(Re**2 + Ri**2 + (2*Re*numpy.cos(zenith*numpy.pi/180)*Ri.transpose()).transpose()) - Re | |
| 3833 |
|
3836 | |||
| 3834 | #Check if there is a height between 70 and 110 km |
|
3837 | #Check if there is a height between 70 and 110 km | |
| 3835 | h_bool = numpy.sum(numpy.logical_and(hi > minHeight, hi < maxHeight), axis = 1) |
|
3838 | h_bool = numpy.sum(numpy.logical_and(hi > minHeight, hi < maxHeight), axis = 1) | |
| 3836 | ind_h = numpy.where(h_bool == 1)[0] |
|
3839 | ind_h = numpy.where(h_bool == 1)[0] | |
| 3837 |
|
3840 | |||
| 3838 | hCorr = hi[ind_h, :] |
|
3841 | hCorr = hi[ind_h, :] | |
| 3839 | ind_hCorr = numpy.where(numpy.logical_and(hi > minHeight, hi < maxHeight)) |
|
3842 | ind_hCorr = numpy.where(numpy.logical_and(hi > minHeight, hi < maxHeight)) | |
| 3840 |
|
3843 | |||
| 3841 | hCorr = hi[ind_hCorr][:len(ind_h)] |
|
3844 | hCorr = hi[ind_hCorr][:len(ind_h)] | |
| 3842 | heights[ind_h] = hCorr |
|
3845 | heights[ind_h] = hCorr | |
| 3843 |
|
3846 | |||
| 3844 | #Setting Error |
|
3847 | #Setting Error | |
| 3845 | #Number 13: Height unresolvable echo: not valid height within 70 to 110 km |
|
3848 | #Number 13: Height unresolvable echo: not valid height within 70 to 110 km | |
| 3846 | #Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km |
|
3849 | #Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km | |
| 3847 | indError = numpy.where(numpy.logical_or(error == 13, error == 14))[0] |
|
3850 | indError = numpy.where(numpy.logical_or(error == 13, error == 14))[0] | |
| 3848 | error[indError] = 0 |
|
3851 | error[indError] = 0 | |
| 3849 | indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0] |
|
3852 | indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0] | |
| 3850 | error[indInvalid2] = 14 |
|
3853 | error[indInvalid2] = 14 | |
| 3851 | indInvalid1 = numpy.where(numpy.logical_and(h_bool == 0, error == 0))[0] |
|
3854 | indInvalid1 = numpy.where(numpy.logical_and(h_bool == 0, error == 0))[0] | |
| 3852 | error[indInvalid1] = 13 |
|
3855 | error[indInvalid1] = 13 | |
| 3853 |
|
3856 | |||
| 3854 | return heights, error |
|
3857 | return heights, error | |
| 3855 |
|
3858 | |||
| 3856 | def getPhasePairs(self, channelPositions): |
|
3859 | def getPhasePairs(self, channelPositions): | |
| 3857 | chanPos = numpy.array(channelPositions) |
|
3860 | chanPos = numpy.array(channelPositions) | |
| 3858 | listOper = list(itertools.combinations(range(5),2)) |
|
3861 | listOper = list(itertools.combinations(range(5),2)) | |
| 3859 |
|
3862 | |||
| 3860 | distances = numpy.zeros(4) |
|
3863 | distances = numpy.zeros(4) | |
| 3861 | axisX = [] |
|
3864 | axisX = [] | |
| 3862 | axisY = [] |
|
3865 | axisY = [] | |
| 3863 | distX = numpy.zeros(3) |
|
3866 | distX = numpy.zeros(3) | |
| 3864 | distY = numpy.zeros(3) |
|
3867 | distY = numpy.zeros(3) | |
| 3865 | ix = 0 |
|
3868 | ix = 0 | |
| 3866 | iy = 0 |
|
3869 | iy = 0 | |
| 3867 |
|
3870 | |||
| 3868 | pairX = numpy.zeros((2,2)) |
|
3871 | pairX = numpy.zeros((2,2)) | |
| 3869 | pairY = numpy.zeros((2,2)) |
|
3872 | pairY = numpy.zeros((2,2)) | |
| 3870 |
|
3873 | |||
| 3871 | for i in range(len(listOper)): |
|
3874 | for i in range(len(listOper)): | |
| 3872 | pairi = listOper[i] |
|
3875 | pairi = listOper[i] | |
| 3873 |
|
3876 | |||
| 3874 | posDif = numpy.abs(chanPos[pairi[0],:] - chanPos[pairi[1],:]) |
|
3877 | posDif = numpy.abs(chanPos[pairi[0],:] - chanPos[pairi[1],:]) | |
| 3875 |
|
3878 | |||
| 3876 | if posDif[0] == 0: |
|
3879 | if posDif[0] == 0: | |
| 3877 | axisY.append(pairi) |
|
3880 | axisY.append(pairi) | |
| 3878 | distY[iy] = posDif[1] |
|
3881 | distY[iy] = posDif[1] | |
| 3879 | iy += 1 |
|
3882 | iy += 1 | |
| 3880 | elif posDif[1] == 0: |
|
3883 | elif posDif[1] == 0: | |
| 3881 | axisX.append(pairi) |
|
3884 | axisX.append(pairi) | |
| 3882 | distX[ix] = posDif[0] |
|
3885 | distX[ix] = posDif[0] | |
| 3883 | ix += 1 |
|
3886 | ix += 1 | |
| 3884 |
|
3887 | |||
| 3885 | for i in range(2): |
|
3888 | for i in range(2): | |
| 3886 | if i==0: |
|
3889 | if i==0: | |
| 3887 | dist0 = distX |
|
3890 | dist0 = distX | |
| 3888 | axis0 = axisX |
|
3891 | axis0 = axisX | |
| 3889 | else: |
|
3892 | else: | |
| 3890 | dist0 = distY |
|
3893 | dist0 = distY | |
| 3891 | axis0 = axisY |
|
3894 | axis0 = axisY | |
| 3892 |
|
3895 | |||
| 3893 | side = numpy.argsort(dist0)[:-1] |
|
3896 | side = numpy.argsort(dist0)[:-1] | |
| 3894 | axis0 = numpy.array(axis0)[side,:] |
|
3897 | axis0 = numpy.array(axis0)[side,:] | |
| 3895 | chanC = int(numpy.intersect1d(axis0[0,:], axis0[1,:])[0]) |
|
3898 | chanC = int(numpy.intersect1d(axis0[0,:], axis0[1,:])[0]) | |
| 3896 | axis1 = numpy.unique(numpy.reshape(axis0,4)) |
|
3899 | axis1 = numpy.unique(numpy.reshape(axis0,4)) | |
| 3897 | side = axis1[axis1 != chanC] |
|
3900 | side = axis1[axis1 != chanC] | |
| 3898 | diff1 = chanPos[chanC,i] - chanPos[side[0],i] |
|
3901 | diff1 = chanPos[chanC,i] - chanPos[side[0],i] | |
| 3899 | diff2 = chanPos[chanC,i] - chanPos[side[1],i] |
|
3902 | diff2 = chanPos[chanC,i] - chanPos[side[1],i] | |
| 3900 | if diff1<0: |
|
3903 | if diff1<0: | |
| 3901 | chan2 = side[0] |
|
3904 | chan2 = side[0] | |
| 3902 | d2 = numpy.abs(diff1) |
|
3905 | d2 = numpy.abs(diff1) | |
| 3903 | chan1 = side[1] |
|
3906 | chan1 = side[1] | |
| 3904 | d1 = numpy.abs(diff2) |
|
3907 | d1 = numpy.abs(diff2) | |
| 3905 | else: |
|
3908 | else: | |
| 3906 | chan2 = side[1] |
|
3909 | chan2 = side[1] | |
| 3907 | d2 = numpy.abs(diff2) |
|
3910 | d2 = numpy.abs(diff2) | |
| 3908 | chan1 = side[0] |
|
3911 | chan1 = side[0] | |
| 3909 | d1 = numpy.abs(diff1) |
|
3912 | d1 = numpy.abs(diff1) | |
| 3910 |
|
3913 | |||
| 3911 | if i==0: |
|
3914 | if i==0: | |
| 3912 | chanCX = chanC |
|
3915 | chanCX = chanC | |
| 3913 | chan1X = chan1 |
|
3916 | chan1X = chan1 | |
| 3914 | chan2X = chan2 |
|
3917 | chan2X = chan2 | |
| 3915 | distances[0:2] = numpy.array([d1,d2]) |
|
3918 | distances[0:2] = numpy.array([d1,d2]) | |
| 3916 | else: |
|
3919 | else: | |
| 3917 | chanCY = chanC |
|
3920 | chanCY = chanC | |
| 3918 | chan1Y = chan1 |
|
3921 | chan1Y = chan1 | |
| 3919 | chan2Y = chan2 |
|
3922 | chan2Y = chan2 | |
| 3920 | distances[2:4] = numpy.array([d1,d2]) |
|
3923 | distances[2:4] = numpy.array([d1,d2]) | |
| 3921 | # axisXsides = numpy.reshape(axisX[ix,:],4) |
|
3924 | # axisXsides = numpy.reshape(axisX[ix,:],4) | |
| 3922 | # |
|
3925 | # | |
| 3923 | # channelCentX = int(numpy.intersect1d(pairX[0,:], pairX[1,:])[0]) |
|
3926 | # channelCentX = int(numpy.intersect1d(pairX[0,:], pairX[1,:])[0]) | |
| 3924 | # channelCentY = int(numpy.intersect1d(pairY[0,:], pairY[1,:])[0]) |
|
3927 | # channelCentY = int(numpy.intersect1d(pairY[0,:], pairY[1,:])[0]) | |
| 3925 | # |
|
3928 | # | |
| 3926 | # ind25X = numpy.where(pairX[0,:] != channelCentX)[0][0] |
|
3929 | # ind25X = numpy.where(pairX[0,:] != channelCentX)[0][0] | |
| 3927 | # ind20X = numpy.where(pairX[1,:] != channelCentX)[0][0] |
|
3930 | # ind20X = numpy.where(pairX[1,:] != channelCentX)[0][0] | |
| 3928 | # channel25X = int(pairX[0,ind25X]) |
|
3931 | # channel25X = int(pairX[0,ind25X]) | |
| 3929 | # channel20X = int(pairX[1,ind20X]) |
|
3932 | # channel20X = int(pairX[1,ind20X]) | |
| 3930 | # ind25Y = numpy.where(pairY[0,:] != channelCentY)[0][0] |
|
3933 | # ind25Y = numpy.where(pairY[0,:] != channelCentY)[0][0] | |
| 3931 | # ind20Y = numpy.where(pairY[1,:] != channelCentY)[0][0] |
|
3934 | # ind20Y = numpy.where(pairY[1,:] != channelCentY)[0][0] | |
| 3932 | # channel25Y = int(pairY[0,ind25Y]) |
|
3935 | # channel25Y = int(pairY[0,ind25Y]) | |
| 3933 | # channel20Y = int(pairY[1,ind20Y]) |
|
3936 | # channel20Y = int(pairY[1,ind20Y]) | |
| 3934 |
|
3937 | |||
| 3935 | # pairslist = [(channelCentX, channel25X),(channelCentX, channel20X),(channelCentY,channel25Y),(channelCentY, channel20Y)] |
|
3938 | # pairslist = [(channelCentX, channel25X),(channelCentX, channel20X),(channelCentY,channel25Y),(channelCentY, channel20Y)] | |
| 3936 | pairslist = [(chanCX, chan1X),(chanCX, chan2X),(chanCY,chan1Y),(chanCY, chan2Y)] |
|
3939 | pairslist = [(chanCX, chan1X),(chanCX, chan2X),(chanCY,chan1Y),(chanCY, chan2Y)] | |
| 3937 |
|
3940 | |||
| 3938 | return pairslist, distances |
|
3941 | return pairslist, distances | |
| 3939 | # def __getAOA(self, phases, pairsList, error, AOAthresh, azimuth): |
|
3942 | # def __getAOA(self, phases, pairsList, error, AOAthresh, azimuth): | |
| 3940 | # |
|
3943 | # | |
| 3941 | # arrayAOA = numpy.zeros((phases.shape[0],3)) |
|
3944 | # arrayAOA = numpy.zeros((phases.shape[0],3)) | |
| 3942 | # cosdir0, cosdir = self.__getDirectionCosines(phases, pairsList) |
|
3945 | # cosdir0, cosdir = self.__getDirectionCosines(phases, pairsList) | |
| 3943 | # |
|
3946 | # | |
| 3944 | # arrayAOA[:,:2] = self.__calculateAOA(cosdir, azimuth) |
|
3947 | # arrayAOA[:,:2] = self.__calculateAOA(cosdir, azimuth) | |
| 3945 | # cosDirError = numpy.sum(numpy.abs(cosdir0 - cosdir), axis = 1) |
|
3948 | # cosDirError = numpy.sum(numpy.abs(cosdir0 - cosdir), axis = 1) | |
| 3946 | # arrayAOA[:,2] = cosDirError |
|
3949 | # arrayAOA[:,2] = cosDirError | |
| 3947 | # |
|
3950 | # | |
| 3948 | # azimuthAngle = arrayAOA[:,0] |
|
3951 | # azimuthAngle = arrayAOA[:,0] | |
| 3949 | # zenithAngle = arrayAOA[:,1] |
|
3952 | # zenithAngle = arrayAOA[:,1] | |
| 3950 | # |
|
3953 | # | |
| 3951 | # #Setting Error |
|
3954 | # #Setting Error | |
| 3952 | # #Number 3: AOA not fesible |
|
3955 | # #Number 3: AOA not fesible | |
| 3953 | # indInvalid = numpy.where(numpy.logical_and((numpy.logical_or(numpy.isnan(zenithAngle), numpy.isnan(azimuthAngle))),error == 0))[0] |
|
3956 | # indInvalid = numpy.where(numpy.logical_and((numpy.logical_or(numpy.isnan(zenithAngle), numpy.isnan(azimuthAngle))),error == 0))[0] | |
| 3954 | # error[indInvalid] = 3 |
|
3957 | # error[indInvalid] = 3 | |
| 3955 | # #Number 4: Large difference in AOAs obtained from different antenna baselines |
|
3958 | # #Number 4: Large difference in AOAs obtained from different antenna baselines | |
| 3956 | # indInvalid = numpy.where(numpy.logical_and(cosDirError > AOAthresh,error == 0))[0] |
|
3959 | # indInvalid = numpy.where(numpy.logical_and(cosDirError > AOAthresh,error == 0))[0] | |
| 3957 | # error[indInvalid] = 4 |
|
3960 | # error[indInvalid] = 4 | |
| 3958 | # return arrayAOA, error |
|
3961 | # return arrayAOA, error | |
| 3959 | # |
|
3962 | # | |
| 3960 | # def __getDirectionCosines(self, arrayPhase, pairsList): |
|
3963 | # def __getDirectionCosines(self, arrayPhase, pairsList): | |
| 3961 | # |
|
3964 | # | |
| 3962 | # #Initializing some variables |
|
3965 | # #Initializing some variables | |
| 3963 | # ang_aux = numpy.array([-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8])*2*numpy.pi |
|
3966 | # ang_aux = numpy.array([-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8])*2*numpy.pi | |
| 3964 | # ang_aux = ang_aux.reshape(1,ang_aux.size) |
|
3967 | # ang_aux = ang_aux.reshape(1,ang_aux.size) | |
| 3965 | # |
|
3968 | # | |
| 3966 | # cosdir = numpy.zeros((arrayPhase.shape[0],2)) |
|
3969 | # cosdir = numpy.zeros((arrayPhase.shape[0],2)) | |
| 3967 | # cosdir0 = numpy.zeros((arrayPhase.shape[0],2)) |
|
3970 | # cosdir0 = numpy.zeros((arrayPhase.shape[0],2)) | |
| 3968 | # |
|
3971 | # | |
| 3969 | # |
|
3972 | # | |
| 3970 | # for i in range(2): |
|
3973 | # for i in range(2): | |
| 3971 | # #First Estimation |
|
3974 | # #First Estimation | |
| 3972 | # phi0_aux = arrayPhase[:,pairsList[i][0]] + arrayPhase[:,pairsList[i][1]] |
|
3975 | # phi0_aux = arrayPhase[:,pairsList[i][0]] + arrayPhase[:,pairsList[i][1]] | |
| 3973 | # #Dealias |
|
3976 | # #Dealias | |
| 3974 | # indcsi = numpy.where(phi0_aux > numpy.pi) |
|
3977 | # indcsi = numpy.where(phi0_aux > numpy.pi) | |
| 3975 | # phi0_aux[indcsi] -= 2*numpy.pi |
|
3978 | # phi0_aux[indcsi] -= 2*numpy.pi | |
| 3976 | # indcsi = numpy.where(phi0_aux < -numpy.pi) |
|
3979 | # indcsi = numpy.where(phi0_aux < -numpy.pi) | |
| 3977 | # phi0_aux[indcsi] += 2*numpy.pi |
|
3980 | # phi0_aux[indcsi] += 2*numpy.pi | |
| 3978 | # #Direction Cosine 0 |
|
3981 | # #Direction Cosine 0 | |
| 3979 | # cosdir0[:,i] = -(phi0_aux)/(2*numpy.pi*0.5) |
|
3982 | # cosdir0[:,i] = -(phi0_aux)/(2*numpy.pi*0.5) | |
| 3980 | # |
|
3983 | # | |
| 3981 | # #Most-Accurate Second Estimation |
|
3984 | # #Most-Accurate Second Estimation | |
| 3982 | # phi1_aux = arrayPhase[:,pairsList[i][0]] - arrayPhase[:,pairsList[i][1]] |
|
3985 | # phi1_aux = arrayPhase[:,pairsList[i][0]] - arrayPhase[:,pairsList[i][1]] | |
| 3983 | # phi1_aux = phi1_aux.reshape(phi1_aux.size,1) |
|
3986 | # phi1_aux = phi1_aux.reshape(phi1_aux.size,1) | |
| 3984 | # #Direction Cosine 1 |
|
3987 | # #Direction Cosine 1 | |
| 3985 | # cosdir1 = -(phi1_aux + ang_aux)/(2*numpy.pi*4.5) |
|
3988 | # cosdir1 = -(phi1_aux + ang_aux)/(2*numpy.pi*4.5) | |
| 3986 | # |
|
3989 | # | |
| 3987 | # #Searching the correct Direction Cosine |
|
3990 | # #Searching the correct Direction Cosine | |
| 3988 | # cosdir0_aux = cosdir0[:,i] |
|
3991 | # cosdir0_aux = cosdir0[:,i] | |
| 3989 | # cosdir0_aux = cosdir0_aux.reshape(cosdir0_aux.size,1) |
|
3992 | # cosdir0_aux = cosdir0_aux.reshape(cosdir0_aux.size,1) | |
| 3990 | # #Minimum Distance |
|
3993 | # #Minimum Distance | |
| 3991 | # cosDiff = (cosdir1 - cosdir0_aux)**2 |
|
3994 | # cosDiff = (cosdir1 - cosdir0_aux)**2 | |
| 3992 | # indcos = cosDiff.argmin(axis = 1) |
|
3995 | # indcos = cosDiff.argmin(axis = 1) | |
| 3993 | # #Saving Value obtained |
|
3996 | # #Saving Value obtained | |
| 3994 | # cosdir[:,i] = cosdir1[numpy.arange(len(indcos)),indcos] |
|
3997 | # cosdir[:,i] = cosdir1[numpy.arange(len(indcos)),indcos] | |
| 3995 | # |
|
3998 | # | |
| 3996 | # return cosdir0, cosdir |
|
3999 | # return cosdir0, cosdir | |
| 3997 | # |
|
4000 | # | |
| 3998 | # def __calculateAOA(self, cosdir, azimuth): |
|
4001 | # def __calculateAOA(self, cosdir, azimuth): | |
| 3999 | # cosdirX = cosdir[:,0] |
|
4002 | # cosdirX = cosdir[:,0] | |
| 4000 | # cosdirY = cosdir[:,1] |
|
4003 | # cosdirY = cosdir[:,1] | |
| 4001 | # |
|
4004 | # | |
| 4002 | # zenithAngle = numpy.arccos(numpy.sqrt(1 - cosdirX**2 - cosdirY**2))*180/numpy.pi |
|
4005 | # zenithAngle = numpy.arccos(numpy.sqrt(1 - cosdirX**2 - cosdirY**2))*180/numpy.pi | |
| 4003 | # azimuthAngle = numpy.arctan2(cosdirX,cosdirY)*180/numpy.pi + azimuth #0 deg north, 90 deg east |
|
4006 | # azimuthAngle = numpy.arctan2(cosdirX,cosdirY)*180/numpy.pi + azimuth #0 deg north, 90 deg east | |
| 4004 | # angles = numpy.vstack((azimuthAngle, zenithAngle)).transpose() |
|
4007 | # angles = numpy.vstack((azimuthAngle, zenithAngle)).transpose() | |
| 4005 | # |
|
4008 | # | |
| 4006 | # return angles |
|
4009 | # return angles | |
| 4007 | # |
|
4010 | # | |
| 4008 | # def __getHeights(self, Ranges, zenith, error, minHeight, maxHeight): |
|
4011 | # def __getHeights(self, Ranges, zenith, error, minHeight, maxHeight): | |
| 4009 | # |
|
4012 | # | |
| 4010 | # Ramb = 375 #Ramb = c/(2*PRF) |
|
4013 | # Ramb = 375 #Ramb = c/(2*PRF) | |
| 4011 | # Re = 6371 #Earth Radius |
|
4014 | # Re = 6371 #Earth Radius | |
| 4012 | # heights = numpy.zeros(Ranges.shape) |
|
4015 | # heights = numpy.zeros(Ranges.shape) | |
| 4013 | # |
|
4016 | # | |
| 4014 | # R_aux = numpy.array([0,1,2])*Ramb |
|
4017 | # R_aux = numpy.array([0,1,2])*Ramb | |
| 4015 | # R_aux = R_aux.reshape(1,R_aux.size) |
|
4018 | # R_aux = R_aux.reshape(1,R_aux.size) | |
| 4016 | # |
|
4019 | # | |
| 4017 | # Ranges = Ranges.reshape(Ranges.size,1) |
|
4020 | # Ranges = Ranges.reshape(Ranges.size,1) | |
| 4018 | # |
|
4021 | # | |
| 4019 | # Ri = Ranges + R_aux |
|
4022 | # Ri = Ranges + R_aux | |
| 4020 | # hi = numpy.sqrt(Re**2 + Ri**2 + (2*Re*numpy.cos(zenith*numpy.pi/180)*Ri.transpose()).transpose()) - Re |
|
4023 | # hi = numpy.sqrt(Re**2 + Ri**2 + (2*Re*numpy.cos(zenith*numpy.pi/180)*Ri.transpose()).transpose()) - Re | |
| 4021 | # |
|
4024 | # | |
| 4022 | # #Check if there is a height between 70 and 110 km |
|
4025 | # #Check if there is a height between 70 and 110 km | |
| 4023 | # h_bool = numpy.sum(numpy.logical_and(hi > minHeight, hi < maxHeight), axis = 1) |
|
4026 | # h_bool = numpy.sum(numpy.logical_and(hi > minHeight, hi < maxHeight), axis = 1) | |
| 4024 | # ind_h = numpy.where(h_bool == 1)[0] |
|
4027 | # ind_h = numpy.where(h_bool == 1)[0] | |
| 4025 | # |
|
4028 | # | |
| 4026 | # hCorr = hi[ind_h, :] |
|
4029 | # hCorr = hi[ind_h, :] | |
| 4027 | # ind_hCorr = numpy.where(numpy.logical_and(hi > minHeight, hi < maxHeight)) |
|
4030 | # ind_hCorr = numpy.where(numpy.logical_and(hi > minHeight, hi < maxHeight)) | |
| 4028 | # |
|
4031 | # | |
| 4029 | # hCorr = hi[ind_hCorr] |
|
4032 | # hCorr = hi[ind_hCorr] | |
| 4030 | # heights[ind_h] = hCorr |
|
4033 | # heights[ind_h] = hCorr | |
| 4031 | # |
|
4034 | # | |
| 4032 | # #Setting Error |
|
4035 | # #Setting Error | |
| 4033 | # #Number 13: Height unresolvable echo: not valid height within 70 to 110 km |
|
4036 | # #Number 13: Height unresolvable echo: not valid height within 70 to 110 km | |
| 4034 | # #Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km |
|
4037 | # #Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km | |
| 4035 | # |
|
4038 | # | |
| 4036 | # indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0] |
|
4039 | # indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0] | |
| 4037 | # error[indInvalid2] = 14 |
|
4040 | # error[indInvalid2] = 14 | |
| 4038 | # indInvalid1 = numpy.where(numpy.logical_and(h_bool == 0, error == 0))[0] |
|
4041 | # indInvalid1 = numpy.where(numpy.logical_and(h_bool == 0, error == 0))[0] | |
| 4039 | # error[indInvalid1] = 13 |
|
4042 | # error[indInvalid1] = 13 | |
| 4040 | # |
|
4043 | # | |
| 4041 | # return heights, error |
|
4044 | # return heights, error | |
| 4042 | No newline at end of file |
|
4045 | ||
| @@ -1,604 +1,607 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 | @author: Juan C. Espinoza |
|
2 | @author: Juan C. Espinoza | |
| 3 | ''' |
|
3 | ''' | |
| 4 |
|
4 | |||
| 5 | import time |
|
5 | import time | |
| 6 | import json |
|
6 | import json | |
| 7 | import numpy |
|
7 | import numpy | |
| 8 | import paho.mqtt.client as mqtt |
|
8 | import paho.mqtt.client as mqtt | |
| 9 | import zmq |
|
9 | import zmq | |
| 10 | import datetime |
|
10 | import datetime | |
| 11 | from zmq.utils.monitor import recv_monitor_message |
|
11 | from zmq.utils.monitor import recv_monitor_message | |
| 12 | from functools import wraps |
|
12 | from functools import wraps | |
| 13 | from threading import Thread |
|
13 | from threading import Thread | |
| 14 | from multiprocessing import Process |
|
14 | from multiprocessing import Process | |
| 15 |
|
15 | |||
| 16 | from schainpy.model.proc.jroproc_base import Operation, ProcessingUnit |
|
16 | from schainpy.model.proc.jroproc_base import Operation, ProcessingUnit | |
| 17 | from schainpy.model.data.jrodata import JROData |
|
17 | from schainpy.model.data.jrodata import JROData | |
| 18 | from schainpy.utils import log |
|
18 | from schainpy.utils import log | |
| 19 |
|
19 | |||
| 20 | MAXNUMX = 100 |
|
20 | MAXNUMX = 100 | |
| 21 | MAXNUMY = 100 |
|
21 | MAXNUMY = 100 | |
| 22 |
|
22 | |||
| 23 | class PrettyFloat(float): |
|
23 | class PrettyFloat(float): | |
| 24 | def __repr__(self): |
|
24 | def __repr__(self): | |
| 25 | return '%.2f' % self |
|
25 | return '%.2f' % self | |
| 26 |
|
26 | |||
| 27 | def roundFloats(obj): |
|
27 | def roundFloats(obj): | |
| 28 | if isinstance(obj, list): |
|
28 | if isinstance(obj, list): | |
| 29 | return map(roundFloats, obj) |
|
29 | return map(roundFloats, obj) | |
| 30 | elif isinstance(obj, float): |
|
30 | elif isinstance(obj, float): | |
| 31 | return round(obj, 2) |
|
31 | return round(obj, 2) | |
| 32 |
|
32 | |||
| 33 | def decimate(z, MAXNUMY): |
|
33 | def decimate(z, MAXNUMY): | |
| 34 | dy = int(len(z[0])/MAXNUMY) + 1 |
|
34 | dy = int(len(z[0])/MAXNUMY) + 1 | |
| 35 |
|
35 | |||
| 36 | return z[::, ::dy] |
|
36 | return z[::, ::dy] | |
| 37 |
|
37 | |||
| 38 | class throttle(object): |
|
38 | class throttle(object): | |
| 39 | ''' |
|
39 | ''' | |
| 40 | Decorator that prevents a function from being called more than once every |
|
40 | Decorator that prevents a function from being called more than once every | |
| 41 | time period. |
|
41 | time period. | |
| 42 | To create a function that cannot be called more than once a minute, but |
|
42 | To create a function that cannot be called more than once a minute, but | |
| 43 | will sleep until it can be called: |
|
43 | will sleep until it can be called: | |
| 44 | @throttle(minutes=1) |
|
44 | @throttle(minutes=1) | |
| 45 | def foo(): |
|
45 | def foo(): | |
| 46 | pass |
|
46 | pass | |
| 47 |
|
47 | |||
| 48 | for i in range(10): |
|
48 | for i in range(10): | |
| 49 | foo() |
|
49 | foo() | |
| 50 | print "This function has run %s times." % i |
|
50 | print "This function has run %s times." % i | |
| 51 | ''' |
|
51 | ''' | |
| 52 |
|
52 | |||
| 53 | def __init__(self, seconds=0, minutes=0, hours=0): |
|
53 | def __init__(self, seconds=0, minutes=0, hours=0): | |
| 54 | self.throttle_period = datetime.timedelta( |
|
54 | self.throttle_period = datetime.timedelta( | |
| 55 | seconds=seconds, minutes=minutes, hours=hours |
|
55 | seconds=seconds, minutes=minutes, hours=hours | |
| 56 | ) |
|
56 | ) | |
| 57 |
|
57 | |||
| 58 | self.time_of_last_call = datetime.datetime.min |
|
58 | self.time_of_last_call = datetime.datetime.min | |
| 59 |
|
59 | |||
| 60 | def __call__(self, fn): |
|
60 | def __call__(self, fn): | |
| 61 | @wraps(fn) |
|
61 | @wraps(fn) | |
| 62 | def wrapper(*args, **kwargs): |
|
62 | def wrapper(*args, **kwargs): | |
| 63 | now = datetime.datetime.now() |
|
63 | now = datetime.datetime.now() | |
| 64 | time_since_last_call = now - self.time_of_last_call |
|
64 | time_since_last_call = now - self.time_of_last_call | |
| 65 | time_left = self.throttle_period - time_since_last_call |
|
65 | time_left = self.throttle_period - time_since_last_call | |
| 66 |
|
66 | |||
| 67 | if time_left > datetime.timedelta(seconds=0): |
|
67 | if time_left > datetime.timedelta(seconds=0): | |
| 68 | return |
|
68 | return | |
| 69 |
|
69 | |||
| 70 | self.time_of_last_call = datetime.datetime.now() |
|
70 | self.time_of_last_call = datetime.datetime.now() | |
| 71 | return fn(*args, **kwargs) |
|
71 | return fn(*args, **kwargs) | |
| 72 |
|
72 | |||
| 73 | return wrapper |
|
73 | return wrapper | |
| 74 |
|
74 | |||
| 75 | class Data(object): |
|
75 | class Data(object): | |
| 76 | ''' |
|
76 | ''' | |
| 77 | Object to hold data to be plotted |
|
77 | Object to hold data to be plotted | |
| 78 | ''' |
|
78 | ''' | |
| 79 |
|
79 | |||
| 80 | def __init__(self, plottypes, throttle_value): |
|
80 | def __init__(self, plottypes, throttle_value): | |
| 81 | self.plottypes = plottypes |
|
81 | self.plottypes = plottypes | |
| 82 | self.throttle = throttle_value |
|
82 | self.throttle = throttle_value | |
| 83 | self.ended = False |
|
83 | self.ended = False | |
| 84 | self.__times = [] |
|
84 | self.__times = [] | |
| 85 |
|
85 | |||
| 86 | def __str__(self): |
|
86 | def __str__(self): | |
| 87 | dum = ['{}{}'.format(key, self.shape(key)) for key in self.data] |
|
87 | dum = ['{}{}'.format(key, self.shape(key)) for key in self.data] | |
| 88 | return 'Data[{}][{}]'.format(';'.join(dum), len(self.__times)) |
|
88 | return 'Data[{}][{}]'.format(';'.join(dum), len(self.__times)) | |
| 89 |
|
89 | |||
| 90 | def __len__(self): |
|
90 | def __len__(self): | |
| 91 | return len(self.__times) |
|
91 | return len(self.__times) | |
| 92 |
|
92 | |||
| 93 | def __getitem__(self, key): |
|
93 | def __getitem__(self, key): | |
| 94 | if key not in self.data: |
|
94 | if key not in self.data: | |
| 95 | raise KeyError(log.error('Missing key: {}'.format(key))) |
|
95 | raise KeyError(log.error('Missing key: {}'.format(key))) | |
| 96 |
|
96 | |||
| 97 | if 'spc' in key: |
|
97 | if 'spc' in key: | |
| 98 | ret = self.data[key] |
|
98 | ret = self.data[key] | |
| 99 | else: |
|
99 | else: | |
| 100 | ret = numpy.array([self.data[key][x] for x in self.times]) |
|
100 | ret = numpy.array([self.data[key][x] for x in self.times]) | |
| 101 | if ret.ndim > 1: |
|
101 | if ret.ndim > 1: | |
| 102 | ret = numpy.swapaxes(ret, 0, 1) |
|
102 | ret = numpy.swapaxes(ret, 0, 1) | |
| 103 | return ret |
|
103 | return ret | |
| 104 |
|
104 | |||
| 105 | def setup(self): |
|
105 | def setup(self): | |
| 106 | ''' |
|
106 | ''' | |
| 107 | Configure object |
|
107 | Configure object | |
| 108 | ''' |
|
108 | ''' | |
| 109 |
|
109 | |||
| 110 | self.ended = False |
|
110 | self.ended = False | |
| 111 | self.data = {} |
|
111 | self.data = {} | |
| 112 | self.__times = [] |
|
112 | self.__times = [] | |
| 113 | self.__heights = [] |
|
113 | self.__heights = [] | |
| 114 | self.__all_heights = set() |
|
114 | self.__all_heights = set() | |
| 115 | for plot in self.plottypes: |
|
115 | for plot in self.plottypes: | |
|
|
116 | if 'snr' in plot: | |||
|
|
117 | plot = 'snr' | |||
| 116 | self.data[plot] = {} |
|
118 | self.data[plot] = {} | |
| 117 |
|
119 | |||
| 118 | def shape(self, key): |
|
120 | def shape(self, key): | |
| 119 | ''' |
|
121 | ''' | |
| 120 | Get the shape of the one-element data for the given key |
|
122 | Get the shape of the one-element data for the given key | |
| 121 | ''' |
|
123 | ''' | |
| 122 |
|
124 | |||
| 123 | if len(self.data[key]): |
|
125 | if len(self.data[key]): | |
| 124 | if 'spc' in key: |
|
126 | if 'spc' in key: | |
| 125 | return self.data[key].shape |
|
127 | return self.data[key].shape | |
| 126 | return self.data[key][self.__times[0]].shape |
|
128 | return self.data[key][self.__times[0]].shape | |
| 127 | return (0,) |
|
129 | return (0,) | |
| 128 |
|
130 | |||
| 129 | def update(self, dataOut): |
|
131 | def update(self, dataOut): | |
| 130 | ''' |
|
132 | ''' | |
| 131 | Update data object with new dataOut |
|
133 | Update data object with new dataOut | |
| 132 | ''' |
|
134 | ''' | |
| 133 |
|
135 | |||
| 134 | tm = dataOut.utctime |
|
136 | tm = dataOut.utctime | |
| 135 | if tm in self.__times: |
|
137 | if tm in self.__times: | |
| 136 | return |
|
138 | return | |
| 137 |
|
139 | |||
| 138 | self.parameters = getattr(dataOut, 'parameters', []) |
|
140 | self.parameters = getattr(dataOut, 'parameters', []) | |
| 139 | self.pairs = dataOut.pairsList |
|
141 | self.pairs = dataOut.pairsList | |
| 140 | self.channels = dataOut.channelList |
|
142 | self.channels = dataOut.channelList | |
| 141 | self.xrange = (dataOut.getFreqRange(1)/1000. , dataOut.getAcfRange(1) , dataOut.getVelRange(1)) |
|
|||
| 142 | self.interval = dataOut.getTimeInterval() |
|
143 | self.interval = dataOut.getTimeInterval() | |
|
|
144 | if 'spc' in self.plottypes or 'cspc' in self.plottypes: | |||
|
|
145 | self.xrange = (dataOut.getFreqRange(1)/1000. , dataOut.getAcfRange(1) , dataOut.getVelRange(1)) | |||
| 143 | self.__heights.append(dataOut.heightList) |
|
146 | self.__heights.append(dataOut.heightList) | |
| 144 | self.__all_heights.update(dataOut.heightList) |
|
147 | self.__all_heights.update(dataOut.heightList) | |
| 145 | self.__times.append(tm) |
|
148 | self.__times.append(tm) | |
| 146 |
|
149 | |||
| 147 | for plot in self.plottypes: |
|
150 | for plot in self.plottypes: | |
| 148 | if plot == 'spc': |
|
151 | if plot == 'spc': | |
| 149 | z = dataOut.data_spc/dataOut.normFactor |
|
152 | z = dataOut.data_spc/dataOut.normFactor | |
| 150 | self.data[plot] = 10*numpy.log10(z) |
|
153 | self.data[plot] = 10*numpy.log10(z) | |
| 151 | if plot == 'cspc': |
|
154 | if plot == 'cspc': | |
| 152 | self.data[plot] = dataOut.data_cspc |
|
155 | self.data[plot] = dataOut.data_cspc | |
| 153 | if plot == 'noise': |
|
156 | if plot == 'noise': | |
| 154 | self.data[plot][tm] = 10*numpy.log10(dataOut.getNoise()/dataOut.normFactor) |
|
157 | self.data[plot][tm] = 10*numpy.log10(dataOut.getNoise()/dataOut.normFactor) | |
| 155 | if plot == 'rti': |
|
158 | if plot == 'rti': | |
| 156 | self.data[plot][tm] = dataOut.getPower() |
|
159 | self.data[plot][tm] = dataOut.getPower() | |
| 157 | if plot == 'snr_db': |
|
160 | if plot == 'snr_db': | |
| 158 | self.data['snr'][tm] = dataOut.data_SNR |
|
161 | self.data['snr'][tm] = dataOut.data_SNR | |
| 159 | if plot == 'snr': |
|
162 | if plot == 'snr': | |
| 160 | self.data[plot][tm] = 10*numpy.log10(dataOut.data_SNR) |
|
163 | self.data[plot][tm] = 10*numpy.log10(dataOut.data_SNR) | |
| 161 | if plot == 'dop': |
|
164 | if plot == 'dop': | |
| 162 | self.data[plot][tm] = 10*numpy.log10(dataOut.data_DOP) |
|
165 | self.data[plot][tm] = 10*numpy.log10(dataOut.data_DOP) | |
| 163 | if plot == 'mean': |
|
166 | if plot == 'mean': | |
| 164 | self.data[plot][tm] = dataOut.data_MEAN |
|
167 | self.data[plot][tm] = dataOut.data_MEAN | |
| 165 | if plot == 'std': |
|
168 | if plot == 'std': | |
| 166 | self.data[plot][tm] = dataOut.data_STD |
|
169 | self.data[plot][tm] = dataOut.data_STD | |
| 167 | if plot == 'coh': |
|
170 | if plot == 'coh': | |
| 168 | self.data[plot][tm] = dataOut.getCoherence() |
|
171 | self.data[plot][tm] = dataOut.getCoherence() | |
| 169 | if plot == 'phase': |
|
172 | if plot == 'phase': | |
| 170 | self.data[plot][tm] = dataOut.getCoherence(phase=True) |
|
173 | self.data[plot][tm] = dataOut.getCoherence(phase=True) | |
| 171 | if plot == 'output': |
|
174 | if plot == 'output': | |
| 172 | self.data[plot][tm] = dataOut.data_output |
|
175 | self.data[plot][tm] = dataOut.data_output | |
| 173 | if plot == 'param': |
|
176 | if plot == 'param': | |
| 174 | self.data[plot][tm] = dataOut.data_param |
|
177 | self.data[plot][tm] = dataOut.data_param | |
| 175 |
|
178 | |||
| 176 | def normalize_heights(self): |
|
179 | def normalize_heights(self): | |
| 177 | ''' |
|
180 | ''' | |
| 178 | Ensure same-dimension of the data for different heighList |
|
181 | Ensure same-dimension of the data for different heighList | |
| 179 | ''' |
|
182 | ''' | |
| 180 |
|
183 | |||
| 181 | H = numpy.array(list(self.__all_heights)) |
|
184 | H = numpy.array(list(self.__all_heights)) | |
| 182 | H.sort() |
|
185 | H.sort() | |
| 183 | for key in self.data: |
|
186 | for key in self.data: | |
| 184 | shape = self.shape(key)[:-1] + H.shape |
|
187 | shape = self.shape(key)[:-1] + H.shape | |
| 185 | for tm, obj in self.data[key].items(): |
|
188 | for tm, obj in self.data[key].items(): | |
| 186 | h = self.__heights[self.__times.index(tm)] |
|
189 | h = self.__heights[self.__times.index(tm)] | |
| 187 | if H.size == h.size: |
|
190 | if H.size == h.size: | |
| 188 | continue |
|
191 | continue | |
| 189 | index = numpy.where(numpy.in1d(H, h))[0] |
|
192 | index = numpy.where(numpy.in1d(H, h))[0] | |
| 190 | dummy = numpy.zeros(shape) + numpy.nan |
|
193 | dummy = numpy.zeros(shape) + numpy.nan | |
| 191 | if len(shape) == 2: |
|
194 | if len(shape) == 2: | |
| 192 | dummy[:, index] = obj |
|
195 | dummy[:, index] = obj | |
| 193 | else: |
|
196 | else: | |
| 194 | dummy[index] = obj |
|
197 | dummy[index] = obj | |
| 195 | self.data[key][tm] = dummy |
|
198 | self.data[key][tm] = dummy | |
| 196 |
|
199 | |||
| 197 | self.__heights = [H for tm in self.__times] |
|
200 | self.__heights = [H for tm in self.__times] | |
| 198 |
|
201 | |||
| 199 | def jsonify(self, decimate=False): |
|
202 | def jsonify(self, decimate=False): | |
| 200 | ''' |
|
203 | ''' | |
| 201 | Convert data to json |
|
204 | Convert data to json | |
| 202 | ''' |
|
205 | ''' | |
| 203 |
|
206 | |||
| 204 | ret = {} |
|
207 | ret = {} | |
| 205 | tm = self.times[-1] |
|
208 | tm = self.times[-1] | |
| 206 |
|
209 | |||
| 207 | for key, value in self.data: |
|
210 | for key, value in self.data: | |
| 208 | if key in ('spc', 'cspc'): |
|
211 | if key in ('spc', 'cspc'): | |
| 209 | ret[key] = roundFloats(self.data[key].to_list()) |
|
212 | ret[key] = roundFloats(self.data[key].to_list()) | |
| 210 | else: |
|
213 | else: | |
| 211 | ret[key] = roundFloats(self.data[key][tm].to_list()) |
|
214 | ret[key] = roundFloats(self.data[key][tm].to_list()) | |
| 212 |
|
215 | |||
| 213 | ret['timestamp'] = tm |
|
216 | ret['timestamp'] = tm | |
| 214 | ret['interval'] = self.interval |
|
217 | ret['interval'] = self.interval | |
| 215 |
|
218 | |||
| 216 | @property |
|
219 | @property | |
| 217 | def times(self): |
|
220 | def times(self): | |
| 218 | ''' |
|
221 | ''' | |
| 219 | Return the list of times of the current data |
|
222 | Return the list of times of the current data | |
| 220 | ''' |
|
223 | ''' | |
| 221 |
|
224 | |||
| 222 | ret = numpy.array(self.__times) |
|
225 | ret = numpy.array(self.__times) | |
| 223 | ret.sort() |
|
226 | ret.sort() | |
| 224 | return ret |
|
227 | return ret | |
| 225 |
|
228 | |||
| 226 | @property |
|
229 | @property | |
| 227 | def heights(self): |
|
230 | def heights(self): | |
| 228 | ''' |
|
231 | ''' | |
| 229 | Return the list of heights of the current data |
|
232 | Return the list of heights of the current data | |
| 230 | ''' |
|
233 | ''' | |
| 231 |
|
234 | |||
| 232 | return numpy.array(self.__heights[-1]) |
|
235 | return numpy.array(self.__heights[-1]) | |
| 233 |
|
236 | |||
| 234 | class PublishData(Operation): |
|
237 | class PublishData(Operation): | |
| 235 | ''' |
|
238 | ''' | |
| 236 | Operation to send data over zmq. |
|
239 | Operation to send data over zmq. | |
| 237 | ''' |
|
240 | ''' | |
| 238 |
|
241 | |||
| 239 | def __init__(self, **kwargs): |
|
242 | def __init__(self, **kwargs): | |
| 240 | """Inicio.""" |
|
243 | """Inicio.""" | |
| 241 | Operation.__init__(self, **kwargs) |
|
244 | Operation.__init__(self, **kwargs) | |
| 242 | self.isConfig = False |
|
245 | self.isConfig = False | |
| 243 | self.client = None |
|
246 | self.client = None | |
| 244 | self.zeromq = None |
|
247 | self.zeromq = None | |
| 245 | self.mqtt = None |
|
248 | self.mqtt = None | |
| 246 |
|
249 | |||
| 247 | def on_disconnect(self, client, userdata, rc): |
|
250 | def on_disconnect(self, client, userdata, rc): | |
| 248 | if rc != 0: |
|
251 | if rc != 0: | |
| 249 | log.warning('Unexpected disconnection.') |
|
252 | log.warning('Unexpected disconnection.') | |
| 250 | self.connect() |
|
253 | self.connect() | |
| 251 |
|
254 | |||
| 252 | def connect(self): |
|
255 | def connect(self): | |
| 253 | log.warning('trying to connect') |
|
256 | log.warning('trying to connect') | |
| 254 | try: |
|
257 | try: | |
| 255 | self.client.connect( |
|
258 | self.client.connect( | |
| 256 | host=self.host, |
|
259 | host=self.host, | |
| 257 | port=self.port, |
|
260 | port=self.port, | |
| 258 | keepalive=60*10, |
|
261 | keepalive=60*10, | |
| 259 | bind_address='') |
|
262 | bind_address='') | |
| 260 | self.client.loop_start() |
|
263 | self.client.loop_start() | |
| 261 | # self.client.publish( |
|
264 | # self.client.publish( | |
| 262 | # self.topic + 'SETUP', |
|
265 | # self.topic + 'SETUP', | |
| 263 | # json.dumps(setup), |
|
266 | # json.dumps(setup), | |
| 264 | # retain=True |
|
267 | # retain=True | |
| 265 | # ) |
|
268 | # ) | |
| 266 | except: |
|
269 | except: | |
| 267 | log.error('MQTT Conection error.') |
|
270 | log.error('MQTT Conection error.') | |
| 268 | self.client = False |
|
271 | self.client = False | |
| 269 |
|
272 | |||
| 270 | def setup(self, port=1883, username=None, password=None, clientId="user", zeromq=1, verbose=True, **kwargs): |
|
273 | def setup(self, port=1883, username=None, password=None, clientId="user", zeromq=1, verbose=True, **kwargs): | |
| 271 | self.counter = 0 |
|
274 | self.counter = 0 | |
| 272 | self.topic = kwargs.get('topic', 'schain') |
|
275 | self.topic = kwargs.get('topic', 'schain') | |
| 273 | self.delay = kwargs.get('delay', 0) |
|
276 | self.delay = kwargs.get('delay', 0) | |
| 274 | self.plottype = kwargs.get('plottype', 'spectra') |
|
277 | self.plottype = kwargs.get('plottype', 'spectra') | |
| 275 | self.host = kwargs.get('host', "10.10.10.82") |
|
278 | self.host = kwargs.get('host', "10.10.10.82") | |
| 276 | self.port = kwargs.get('port', 3000) |
|
279 | self.port = kwargs.get('port', 3000) | |
| 277 | self.clientId = clientId |
|
280 | self.clientId = clientId | |
| 278 | self.cnt = 0 |
|
281 | self.cnt = 0 | |
| 279 | self.zeromq = zeromq |
|
282 | self.zeromq = zeromq | |
| 280 | self.mqtt = kwargs.get('plottype', 0) |
|
283 | self.mqtt = kwargs.get('plottype', 0) | |
| 281 | self.client = None |
|
284 | self.client = None | |
| 282 | self.verbose = verbose |
|
285 | self.verbose = verbose | |
| 283 | setup = [] |
|
286 | setup = [] | |
| 284 | if mqtt is 1: |
|
287 | if mqtt is 1: | |
| 285 | self.client = mqtt.Client( |
|
288 | self.client = mqtt.Client( | |
| 286 | client_id=self.clientId + self.topic + 'SCHAIN', |
|
289 | client_id=self.clientId + self.topic + 'SCHAIN', | |
| 287 | clean_session=True) |
|
290 | clean_session=True) | |
| 288 | self.client.on_disconnect = self.on_disconnect |
|
291 | self.client.on_disconnect = self.on_disconnect | |
| 289 | self.connect() |
|
292 | self.connect() | |
| 290 | for plot in self.plottype: |
|
293 | for plot in self.plottype: | |
| 291 | setup.append({ |
|
294 | setup.append({ | |
| 292 | 'plot': plot, |
|
295 | 'plot': plot, | |
| 293 | 'topic': self.topic + plot, |
|
296 | 'topic': self.topic + plot, | |
| 294 | 'title': getattr(self, plot + '_' + 'title', False), |
|
297 | 'title': getattr(self, plot + '_' + 'title', False), | |
| 295 | 'xlabel': getattr(self, plot + '_' + 'xlabel', False), |
|
298 | 'xlabel': getattr(self, plot + '_' + 'xlabel', False), | |
| 296 | 'ylabel': getattr(self, plot + '_' + 'ylabel', False), |
|
299 | 'ylabel': getattr(self, plot + '_' + 'ylabel', False), | |
| 297 | 'xrange': getattr(self, plot + '_' + 'xrange', False), |
|
300 | 'xrange': getattr(self, plot + '_' + 'xrange', False), | |
| 298 | 'yrange': getattr(self, plot + '_' + 'yrange', False), |
|
301 | 'yrange': getattr(self, plot + '_' + 'yrange', False), | |
| 299 | 'zrange': getattr(self, plot + '_' + 'zrange', False), |
|
302 | 'zrange': getattr(self, plot + '_' + 'zrange', False), | |
| 300 | }) |
|
303 | }) | |
| 301 | if zeromq is 1: |
|
304 | if zeromq is 1: | |
| 302 | context = zmq.Context() |
|
305 | context = zmq.Context() | |
| 303 | self.zmq_socket = context.socket(zmq.PUSH) |
|
306 | self.zmq_socket = context.socket(zmq.PUSH) | |
| 304 | server = kwargs.get('server', 'zmq.pipe') |
|
307 | server = kwargs.get('server', 'zmq.pipe') | |
| 305 |
|
308 | |||
| 306 | if 'tcp://' in server: |
|
309 | if 'tcp://' in server: | |
| 307 | address = server |
|
310 | address = server | |
| 308 | else: |
|
311 | else: | |
| 309 | address = 'ipc:///tmp/%s' % server |
|
312 | address = 'ipc:///tmp/%s' % server | |
| 310 |
|
313 | |||
| 311 | self.zmq_socket.connect(address) |
|
314 | self.zmq_socket.connect(address) | |
| 312 | time.sleep(1) |
|
315 | time.sleep(1) | |
| 313 |
|
316 | |||
| 314 |
|
317 | |||
| 315 | def publish_data(self): |
|
318 | def publish_data(self): | |
| 316 | self.dataOut.finished = False |
|
319 | self.dataOut.finished = False | |
| 317 | if self.mqtt is 1: |
|
320 | if self.mqtt is 1: | |
| 318 | yData = self.dataOut.heightList[:2].tolist() |
|
321 | yData = self.dataOut.heightList[:2].tolist() | |
| 319 | if self.plottype == 'spectra': |
|
322 | if self.plottype == 'spectra': | |
| 320 | data = getattr(self.dataOut, 'data_spc') |
|
323 | data = getattr(self.dataOut, 'data_spc') | |
| 321 | z = data/self.dataOut.normFactor |
|
324 | z = data/self.dataOut.normFactor | |
| 322 | zdB = 10*numpy.log10(z) |
|
325 | zdB = 10*numpy.log10(z) | |
| 323 | xlen, ylen = zdB[0].shape |
|
326 | xlen, ylen = zdB[0].shape | |
| 324 | dx = int(xlen/MAXNUMX) + 1 |
|
327 | dx = int(xlen/MAXNUMX) + 1 | |
| 325 | dy = int(ylen/MAXNUMY) + 1 |
|
328 | dy = int(ylen/MAXNUMY) + 1 | |
| 326 | Z = [0 for i in self.dataOut.channelList] |
|
329 | Z = [0 for i in self.dataOut.channelList] | |
| 327 | for i in self.dataOut.channelList: |
|
330 | for i in self.dataOut.channelList: | |
| 328 | Z[i] = zdB[i][::dx, ::dy].tolist() |
|
331 | Z[i] = zdB[i][::dx, ::dy].tolist() | |
| 329 | payload = { |
|
332 | payload = { | |
| 330 | 'timestamp': self.dataOut.utctime, |
|
333 | 'timestamp': self.dataOut.utctime, | |
| 331 | 'data': roundFloats(Z), |
|
334 | 'data': roundFloats(Z), | |
| 332 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
335 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
| 333 | 'interval': self.dataOut.getTimeInterval(), |
|
336 | 'interval': self.dataOut.getTimeInterval(), | |
| 334 | 'type': self.plottype, |
|
337 | 'type': self.plottype, | |
| 335 | 'yData': yData |
|
338 | 'yData': yData | |
| 336 | } |
|
339 | } | |
| 337 |
|
340 | |||
| 338 | elif self.plottype in ('rti', 'power'): |
|
341 | elif self.plottype in ('rti', 'power'): | |
| 339 | data = getattr(self.dataOut, 'data_spc') |
|
342 | data = getattr(self.dataOut, 'data_spc') | |
| 340 | z = data/self.dataOut.normFactor |
|
343 | z = data/self.dataOut.normFactor | |
| 341 | avg = numpy.average(z, axis=1) |
|
344 | avg = numpy.average(z, axis=1) | |
| 342 | avgdB = 10*numpy.log10(avg) |
|
345 | avgdB = 10*numpy.log10(avg) | |
| 343 | xlen, ylen = z[0].shape |
|
346 | xlen, ylen = z[0].shape | |
| 344 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 |
|
347 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 | |
| 345 | AVG = [0 for i in self.dataOut.channelList] |
|
348 | AVG = [0 for i in self.dataOut.channelList] | |
| 346 | for i in self.dataOut.channelList: |
|
349 | for i in self.dataOut.channelList: | |
| 347 | AVG[i] = avgdB[i][::dy].tolist() |
|
350 | AVG[i] = avgdB[i][::dy].tolist() | |
| 348 | payload = { |
|
351 | payload = { | |
| 349 | 'timestamp': self.dataOut.utctime, |
|
352 | 'timestamp': self.dataOut.utctime, | |
| 350 | 'data': roundFloats(AVG), |
|
353 | 'data': roundFloats(AVG), | |
| 351 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
354 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
| 352 | 'interval': self.dataOut.getTimeInterval(), |
|
355 | 'interval': self.dataOut.getTimeInterval(), | |
| 353 | 'type': self.plottype, |
|
356 | 'type': self.plottype, | |
| 354 | 'yData': yData |
|
357 | 'yData': yData | |
| 355 | } |
|
358 | } | |
| 356 | elif self.plottype == 'noise': |
|
359 | elif self.plottype == 'noise': | |
| 357 | noise = self.dataOut.getNoise()/self.dataOut.normFactor |
|
360 | noise = self.dataOut.getNoise()/self.dataOut.normFactor | |
| 358 | noisedB = 10*numpy.log10(noise) |
|
361 | noisedB = 10*numpy.log10(noise) | |
| 359 | payload = { |
|
362 | payload = { | |
| 360 | 'timestamp': self.dataOut.utctime, |
|
363 | 'timestamp': self.dataOut.utctime, | |
| 361 | 'data': roundFloats(noisedB.reshape(-1, 1).tolist()), |
|
364 | 'data': roundFloats(noisedB.reshape(-1, 1).tolist()), | |
| 362 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
365 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
| 363 | 'interval': self.dataOut.getTimeInterval(), |
|
366 | 'interval': self.dataOut.getTimeInterval(), | |
| 364 | 'type': self.plottype, |
|
367 | 'type': self.plottype, | |
| 365 | 'yData': yData |
|
368 | 'yData': yData | |
| 366 | } |
|
369 | } | |
| 367 | elif self.plottype == 'snr': |
|
370 | elif self.plottype == 'snr': | |
| 368 | data = getattr(self.dataOut, 'data_SNR') |
|
371 | data = getattr(self.dataOut, 'data_SNR') | |
| 369 | avgdB = 10*numpy.log10(data) |
|
372 | avgdB = 10*numpy.log10(data) | |
| 370 |
|
373 | |||
| 371 | ylen = data[0].size |
|
374 | ylen = data[0].size | |
| 372 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 |
|
375 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 | |
| 373 | AVG = [0 for i in self.dataOut.channelList] |
|
376 | AVG = [0 for i in self.dataOut.channelList] | |
| 374 | for i in self.dataOut.channelList: |
|
377 | for i in self.dataOut.channelList: | |
| 375 | AVG[i] = avgdB[i][::dy].tolist() |
|
378 | AVG[i] = avgdB[i][::dy].tolist() | |
| 376 | payload = { |
|
379 | payload = { | |
| 377 | 'timestamp': self.dataOut.utctime, |
|
380 | 'timestamp': self.dataOut.utctime, | |
| 378 | 'data': roundFloats(AVG), |
|
381 | 'data': roundFloats(AVG), | |
| 379 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
382 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
| 380 | 'type': self.plottype, |
|
383 | 'type': self.plottype, | |
| 381 | 'yData': yData |
|
384 | 'yData': yData | |
| 382 | } |
|
385 | } | |
| 383 | else: |
|
386 | else: | |
| 384 | print "Tipo de grafico invalido" |
|
387 | print "Tipo de grafico invalido" | |
| 385 | payload = { |
|
388 | payload = { | |
| 386 | 'data': 'None', |
|
389 | 'data': 'None', | |
| 387 | 'timestamp': 'None', |
|
390 | 'timestamp': 'None', | |
| 388 | 'type': None |
|
391 | 'type': None | |
| 389 | } |
|
392 | } | |
| 390 |
|
393 | |||
| 391 | self.client.publish(self.topic + self.plottype, json.dumps(payload), qos=0) |
|
394 | self.client.publish(self.topic + self.plottype, json.dumps(payload), qos=0) | |
| 392 |
|
395 | |||
| 393 | if self.zeromq is 1: |
|
396 | if self.zeromq is 1: | |
| 394 | if self.verbose: |
|
397 | if self.verbose: | |
| 395 | log.log( |
|
398 | log.log( | |
| 396 | '{} - {}'.format(self.dataOut.type, self.dataOut.datatime), |
|
399 | '{} - {}'.format(self.dataOut.type, self.dataOut.datatime), | |
| 397 | 'Sending' |
|
400 | 'Sending' | |
| 398 | ) |
|
401 | ) | |
| 399 | self.zmq_socket.send_pyobj(self.dataOut) |
|
402 | self.zmq_socket.send_pyobj(self.dataOut) | |
| 400 |
|
403 | |||
| 401 | def run(self, dataOut, **kwargs): |
|
404 | def run(self, dataOut, **kwargs): | |
| 402 | self.dataOut = dataOut |
|
405 | self.dataOut = dataOut | |
| 403 | if not self.isConfig: |
|
406 | if not self.isConfig: | |
| 404 | self.setup(**kwargs) |
|
407 | self.setup(**kwargs) | |
| 405 | self.isConfig = True |
|
408 | self.isConfig = True | |
| 406 |
|
409 | |||
| 407 | self.publish_data() |
|
410 | self.publish_data() | |
| 408 | time.sleep(self.delay) |
|
411 | time.sleep(self.delay) | |
| 409 |
|
412 | |||
| 410 | def close(self): |
|
413 | def close(self): | |
| 411 | if self.zeromq is 1: |
|
414 | if self.zeromq is 1: | |
| 412 | self.dataOut.finished = True |
|
415 | self.dataOut.finished = True | |
| 413 | self.zmq_socket.send_pyobj(self.dataOut) |
|
416 | self.zmq_socket.send_pyobj(self.dataOut) | |
| 414 | time.sleep(0.1) |
|
417 | time.sleep(0.1) | |
| 415 | self.zmq_socket.close() |
|
418 | self.zmq_socket.close() | |
| 416 | if self.client: |
|
419 | if self.client: | |
| 417 | self.client.loop_stop() |
|
420 | self.client.loop_stop() | |
| 418 | self.client.disconnect() |
|
421 | self.client.disconnect() | |
| 419 |
|
422 | |||
| 420 |
|
423 | |||
| 421 | class ReceiverData(ProcessingUnit): |
|
424 | class ReceiverData(ProcessingUnit): | |
| 422 |
|
425 | |||
| 423 | def __init__(self, **kwargs): |
|
426 | def __init__(self, **kwargs): | |
| 424 |
|
427 | |||
| 425 | ProcessingUnit.__init__(self, **kwargs) |
|
428 | ProcessingUnit.__init__(self, **kwargs) | |
| 426 |
|
429 | |||
| 427 | self.isConfig = False |
|
430 | self.isConfig = False | |
| 428 | server = kwargs.get('server', 'zmq.pipe') |
|
431 | server = kwargs.get('server', 'zmq.pipe') | |
| 429 | if 'tcp://' in server: |
|
432 | if 'tcp://' in server: | |
| 430 | address = server |
|
433 | address = server | |
| 431 | else: |
|
434 | else: | |
| 432 | address = 'ipc:///tmp/%s' % server |
|
435 | address = 'ipc:///tmp/%s' % server | |
| 433 |
|
436 | |||
| 434 | self.address = address |
|
437 | self.address = address | |
| 435 | self.dataOut = JROData() |
|
438 | self.dataOut = JROData() | |
| 436 |
|
439 | |||
| 437 | def setup(self): |
|
440 | def setup(self): | |
| 438 |
|
441 | |||
| 439 | self.context = zmq.Context() |
|
442 | self.context = zmq.Context() | |
| 440 | self.receiver = self.context.socket(zmq.PULL) |
|
443 | self.receiver = self.context.socket(zmq.PULL) | |
| 441 | self.receiver.bind(self.address) |
|
444 | self.receiver.bind(self.address) | |
| 442 | time.sleep(0.5) |
|
445 | time.sleep(0.5) | |
| 443 | log.success('ReceiverData from {}'.format(self.address)) |
|
446 | log.success('ReceiverData from {}'.format(self.address)) | |
| 444 |
|
447 | |||
| 445 |
|
448 | |||
| 446 | def run(self): |
|
449 | def run(self): | |
| 447 |
|
450 | |||
| 448 | if not self.isConfig: |
|
451 | if not self.isConfig: | |
| 449 | self.setup() |
|
452 | self.setup() | |
| 450 | self.isConfig = True |
|
453 | self.isConfig = True | |
| 451 |
|
454 | |||
| 452 | self.dataOut = self.receiver.recv_pyobj() |
|
455 | self.dataOut = self.receiver.recv_pyobj() | |
| 453 | log.log('{} - {}'.format(self.dataOut.type, |
|
456 | log.log('{} - {}'.format(self.dataOut.type, | |
| 454 | self.dataOut.datatime.ctime(),), |
|
457 | self.dataOut.datatime.ctime(),), | |
| 455 | 'Receiving') |
|
458 | 'Receiving') | |
| 456 |
|
459 | |||
| 457 |
|
460 | |||
| 458 | class PlotterReceiver(ProcessingUnit, Process): |
|
461 | class PlotterReceiver(ProcessingUnit, Process): | |
| 459 |
|
462 | |||
| 460 | throttle_value = 5 |
|
463 | throttle_value = 5 | |
| 461 |
|
464 | |||
| 462 | def __init__(self, **kwargs): |
|
465 | def __init__(self, **kwargs): | |
| 463 |
|
466 | |||
| 464 | ProcessingUnit.__init__(self, **kwargs) |
|
467 | ProcessingUnit.__init__(self, **kwargs) | |
| 465 | Process.__init__(self) |
|
468 | Process.__init__(self) | |
| 466 | self.mp = False |
|
469 | self.mp = False | |
| 467 | self.isConfig = False |
|
470 | self.isConfig = False | |
| 468 | self.isWebConfig = False |
|
471 | self.isWebConfig = False | |
| 469 | self.connections = 0 |
|
472 | self.connections = 0 | |
| 470 | server = kwargs.get('server', 'zmq.pipe') |
|
473 | server = kwargs.get('server', 'zmq.pipe') | |
| 471 | plot_server = kwargs.get('plot_server', 'zmq.web') |
|
474 | plot_server = kwargs.get('plot_server', 'zmq.web') | |
| 472 | if 'tcp://' in server: |
|
475 | if 'tcp://' in server: | |
| 473 | address = server |
|
476 | address = server | |
| 474 | else: |
|
477 | else: | |
| 475 | address = 'ipc:///tmp/%s' % server |
|
478 | address = 'ipc:///tmp/%s' % server | |
| 476 |
|
479 | |||
| 477 | if 'tcp://' in plot_server: |
|
480 | if 'tcp://' in plot_server: | |
| 478 | plot_address = plot_server |
|
481 | plot_address = plot_server | |
| 479 | else: |
|
482 | else: | |
| 480 | plot_address = 'ipc:///tmp/%s' % plot_server |
|
483 | plot_address = 'ipc:///tmp/%s' % plot_server | |
| 481 |
|
484 | |||
| 482 | self.address = address |
|
485 | self.address = address | |
| 483 | self.plot_address = plot_address |
|
486 | self.plot_address = plot_address | |
| 484 | self.plottypes = [s.strip() for s in kwargs.get('plottypes', 'rti').split(',')] |
|
487 | self.plottypes = [s.strip() for s in kwargs.get('plottypes', 'rti').split(',')] | |
| 485 | self.realtime = kwargs.get('realtime', False) |
|
488 | self.realtime = kwargs.get('realtime', False) | |
| 486 | self.throttle_value = kwargs.get('throttle', 5) |
|
489 | self.throttle_value = kwargs.get('throttle', 5) | |
| 487 | self.sendData = self.initThrottle(self.throttle_value) |
|
490 | self.sendData = self.initThrottle(self.throttle_value) | |
| 488 | self.dates = [] |
|
491 | self.dates = [] | |
| 489 | self.setup() |
|
492 | self.setup() | |
| 490 |
|
493 | |||
| 491 | def setup(self): |
|
494 | def setup(self): | |
| 492 |
|
495 | |||
| 493 | self.data = Data(self.plottypes, self.throttle_value) |
|
496 | self.data = Data(self.plottypes, self.throttle_value) | |
| 494 | self.isConfig = True |
|
497 | self.isConfig = True | |
| 495 |
|
498 | |||
| 496 | def event_monitor(self, monitor): |
|
499 | def event_monitor(self, monitor): | |
| 497 |
|
500 | |||
| 498 | events = {} |
|
501 | events = {} | |
| 499 |
|
502 | |||
| 500 | for name in dir(zmq): |
|
503 | for name in dir(zmq): | |
| 501 | if name.startswith('EVENT_'): |
|
504 | if name.startswith('EVENT_'): | |
| 502 | value = getattr(zmq, name) |
|
505 | value = getattr(zmq, name) | |
| 503 | events[value] = name |
|
506 | events[value] = name | |
| 504 |
|
507 | |||
| 505 | while monitor.poll(): |
|
508 | while monitor.poll(): | |
| 506 | evt = recv_monitor_message(monitor) |
|
509 | evt = recv_monitor_message(monitor) | |
| 507 | if evt['event'] == 32: |
|
510 | if evt['event'] == 32: | |
| 508 | self.connections += 1 |
|
511 | self.connections += 1 | |
| 509 | if evt['event'] == 512: |
|
512 | if evt['event'] == 512: | |
| 510 | pass |
|
513 | pass | |
| 511 |
|
514 | |||
| 512 | evt.update({'description': events[evt['event']]}) |
|
515 | evt.update({'description': events[evt['event']]}) | |
| 513 |
|
516 | |||
| 514 | if evt['event'] == zmq.EVENT_MONITOR_STOPPED: |
|
517 | if evt['event'] == zmq.EVENT_MONITOR_STOPPED: | |
| 515 | break |
|
518 | break | |
| 516 | monitor.close() |
|
519 | monitor.close() | |
| 517 | print('event monitor thread done!') |
|
520 | print('event monitor thread done!') | |
| 518 |
|
521 | |||
| 519 | def initThrottle(self, throttle_value): |
|
522 | def initThrottle(self, throttle_value): | |
| 520 |
|
523 | |||
| 521 | @throttle(seconds=throttle_value) |
|
524 | @throttle(seconds=throttle_value) | |
| 522 | def sendDataThrottled(fn_sender, data): |
|
525 | def sendDataThrottled(fn_sender, data): | |
| 523 | fn_sender(data) |
|
526 | fn_sender(data) | |
| 524 |
|
527 | |||
| 525 | return sendDataThrottled |
|
528 | return sendDataThrottled | |
| 526 |
|
529 | |||
| 527 | def send(self, data): |
|
530 | def send(self, data): | |
| 528 | log.success('Sending {}'.format(data), self.name) |
|
531 | log.success('Sending {}'.format(data), self.name) | |
| 529 | self.sender.send_pyobj(data) |
|
532 | self.sender.send_pyobj(data) | |
| 530 |
|
533 | |||
| 531 | def run(self): |
|
534 | def run(self): | |
| 532 |
|
535 | |||
| 533 | log.success( |
|
536 | log.success( | |
| 534 | 'Starting from {}'.format(self.address), |
|
537 | 'Starting from {}'.format(self.address), | |
| 535 | self.name |
|
538 | self.name | |
| 536 | ) |
|
539 | ) | |
| 537 |
|
540 | |||
| 538 | self.context = zmq.Context() |
|
541 | self.context = zmq.Context() | |
| 539 | self.receiver = self.context.socket(zmq.PULL) |
|
542 | self.receiver = self.context.socket(zmq.PULL) | |
| 540 | self.receiver.bind(self.address) |
|
543 | self.receiver.bind(self.address) | |
| 541 | monitor = self.receiver.get_monitor_socket() |
|
544 | monitor = self.receiver.get_monitor_socket() | |
| 542 | self.sender = self.context.socket(zmq.PUB) |
|
545 | self.sender = self.context.socket(zmq.PUB) | |
| 543 | if self.realtime: |
|
546 | if self.realtime: | |
| 544 | self.sender_web = self.context.socket(zmq.PUB) |
|
547 | self.sender_web = self.context.socket(zmq.PUB) | |
| 545 | self.sender_web.connect(self.plot_address) |
|
548 | self.sender_web.connect(self.plot_address) | |
| 546 | time.sleep(1) |
|
549 | time.sleep(1) | |
| 547 |
|
550 | |||
| 548 | if 'server' in self.kwargs: |
|
551 | if 'server' in self.kwargs: | |
| 549 | self.sender.bind("ipc:///tmp/{}.plots".format(self.kwargs['server'])) |
|
552 | self.sender.bind("ipc:///tmp/{}.plots".format(self.kwargs['server'])) | |
| 550 | else: |
|
553 | else: | |
| 551 | self.sender.bind("ipc:///tmp/zmq.plots") |
|
554 | self.sender.bind("ipc:///tmp/zmq.plots") | |
| 552 |
|
555 | |||
| 553 | time.sleep(2) |
|
556 | time.sleep(2) | |
| 554 |
|
557 | |||
| 555 | t = Thread(target=self.event_monitor, args=(monitor,)) |
|
558 | t = Thread(target=self.event_monitor, args=(monitor,)) | |
| 556 | t.start() |
|
559 | t.start() | |
| 557 |
|
560 | |||
| 558 | while True: |
|
561 | while True: | |
| 559 | dataOut = self.receiver.recv_pyobj() |
|
562 | dataOut = self.receiver.recv_pyobj() | |
| 560 | dt = datetime.datetime.fromtimestamp(dataOut.utctime).date() |
|
563 | dt = datetime.datetime.fromtimestamp(dataOut.utctime).date() | |
| 561 | sended = False |
|
564 | sended = False | |
| 562 | if dt not in self.dates: |
|
565 | if dt not in self.dates: | |
| 563 | if self.data: |
|
566 | if self.data: | |
| 564 | self.data.ended = True |
|
567 | self.data.ended = True | |
| 565 | self.send(self.data) |
|
568 | self.send(self.data) | |
| 566 | sended = True |
|
569 | sended = True | |
| 567 | self.data.setup() |
|
570 | self.data.setup() | |
| 568 | self.dates.append(dt) |
|
571 | self.dates.append(dt) | |
| 569 |
|
572 | |||
| 570 | self.data.update(dataOut) |
|
573 | self.data.update(dataOut) | |
| 571 |
|
574 | |||
| 572 | if dataOut.finished is True: |
|
575 | if dataOut.finished is True: | |
| 573 | self.connections -= 1 |
|
576 | self.connections -= 1 | |
| 574 | if self.connections == 0 and dt in self.dates: |
|
577 | if self.connections == 0 and dt in self.dates: | |
| 575 | self.data.ended = True |
|
578 | self.data.ended = True | |
| 576 | self.send(self.data) |
|
579 | self.send(self.data) | |
| 577 | self.data.setup() |
|
580 | self.data.setup() | |
| 578 | else: |
|
581 | else: | |
| 579 | if self.realtime: |
|
582 | if self.realtime: | |
| 580 | self.send(self.data) |
|
583 | self.send(self.data) | |
| 581 | # self.sender_web.send_string(self.data.jsonify()) |
|
584 | # self.sender_web.send_string(self.data.jsonify()) | |
| 582 | else: |
|
585 | else: | |
| 583 | if not sended: |
|
586 | if not sended: | |
| 584 | self.sendData(self.send, self.data) |
|
587 | self.sendData(self.send, self.data) | |
| 585 |
|
588 | |||
| 586 | return |
|
589 | return | |
| 587 |
|
590 | |||
| 588 | def sendToWeb(self): |
|
591 | def sendToWeb(self): | |
| 589 |
|
592 | |||
| 590 | if not self.isWebConfig: |
|
593 | if not self.isWebConfig: | |
| 591 | context = zmq.Context() |
|
594 | context = zmq.Context() | |
| 592 | sender_web_config = context.socket(zmq.PUB) |
|
595 | sender_web_config = context.socket(zmq.PUB) | |
| 593 | if 'tcp://' in self.plot_address: |
|
596 | if 'tcp://' in self.plot_address: | |
| 594 | dum, address, port = self.plot_address.split(':') |
|
597 | dum, address, port = self.plot_address.split(':') | |
| 595 | conf_address = '{}:{}:{}'.format(dum, address, int(port)+1) |
|
598 | conf_address = '{}:{}:{}'.format(dum, address, int(port)+1) | |
| 596 | else: |
|
599 | else: | |
| 597 | conf_address = self.plot_address + '.config' |
|
600 | conf_address = self.plot_address + '.config' | |
| 598 | sender_web_config.bind(conf_address) |
|
601 | sender_web_config.bind(conf_address) | |
| 599 | time.sleep(1) |
|
602 | time.sleep(1) | |
| 600 | for kwargs in self.operationKwargs.values(): |
|
603 | for kwargs in self.operationKwargs.values(): | |
| 601 | if 'plot' in kwargs: |
|
604 | if 'plot' in kwargs: | |
| 602 | log.success('[Sending] Config data to web for {}'.format(kwargs['code'].upper())) |
|
605 | log.success('[Sending] Config data to web for {}'.format(kwargs['code'].upper())) | |
| 603 | sender_web_config.send_string(json.dumps(kwargs)) |
|
606 | sender_web_config.send_string(json.dumps(kwargs)) | |
| 604 | self.isWebConfig = True No newline at end of file |
|
607 | self.isWebConfig = True | |
| @@ -1,34 +0,0 | |||||
| 1 | from schainpy.controller import Project |
|
|||
| 2 |
|
||||
| 3 | desc = "A schain project" |
|
|||
| 4 |
|
||||
| 5 | controller = Project() |
|
|||
| 6 | controller.setup(id='191', name="project", description=desc) |
|
|||
| 7 |
|
||||
| 8 | readUnitConf = controller.addReadUnit(datatype='VoltageReader', |
|
|||
| 9 | path="/home/nanosat/schain/schainpy", |
|
|||
| 10 | startDate="1970/01/01", |
|
|||
| 11 | endDate="2017/12/31", |
|
|||
| 12 | startTime="00:00:00", |
|
|||
| 13 | endTime="23:59:59", |
|
|||
| 14 | online=0, |
|
|||
| 15 | verbose=1, |
|
|||
| 16 | walk=1, |
|
|||
| 17 | ) |
|
|||
| 18 |
|
||||
| 19 | procUnitConf1 = controller.addProcUnit(datatype='VoltageProc', inputId=readUnitConf.getId()) |
|
|||
| 20 |
|
||||
| 21 | opObj11 = procUnitConf1.addOperation(name='ProfileSelector', optype='other') |
|
|||
| 22 | opObj11.addParameter(name='profileRangeList', value='120,183', format='intlist') |
|
|||
| 23 |
|
||||
| 24 | opObj11 = procUnitConf1.addOperation(name='RTIPlot', optype='other') |
|
|||
| 25 | opObj11.addParameter(name='wintitle', value='Jicamarca Radio Observatory', format='str') |
|
|||
| 26 | opObj11.addParameter(name='showprofile', value='0', format='int') |
|
|||
| 27 | opObj11.addParameter(name='xmin', value='0', format='int') |
|
|||
| 28 | opObj11.addParameter(name='xmax', value='24', format='int') |
|
|||
| 29 | opObj11.addParameter(name='figpath', value="/home/nanosat/schain/schainpy/figs", format='str') |
|
|||
| 30 | opObj11.addParameter(name='wr_period', value='5', format='int') |
|
|||
| 31 | opObj11.addParameter(name='exp_code', value='22', format='int') |
|
|||
| 32 |
|
||||
| 33 |
|
||||
| 34 | controller.start() |
|
|||
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