@@ -1,428 +1,426 | |||||
1 |
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1 | |||
2 | import os |
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2 | import os | |
3 | import zmq |
|
3 | import zmq | |
4 | import time |
|
4 | import time | |
5 | import numpy |
|
5 | import numpy | |
6 | import datetime |
|
6 | import datetime | |
7 | import numpy as np |
|
7 | import numpy as np | |
8 | import matplotlib.pyplot as plt |
|
8 | import matplotlib.pyplot as plt | |
9 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
9 | from mpl_toolkits.axes_grid1 import make_axes_locatable | |
10 | from matplotlib.ticker import FuncFormatter, LinearLocator |
|
10 | from matplotlib.ticker import FuncFormatter, LinearLocator | |
11 | from multiprocessing import Process |
|
11 | from multiprocessing import Process | |
12 |
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12 | |||
13 | from schainpy.model.proc.jroproc_base import Operation |
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13 | from schainpy.model.proc.jroproc_base import Operation | |
14 |
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14 | |||
15 | #plt.ion() |
|
15 | #plt.ion() | |
16 |
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16 | |||
17 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime('%H:%M')) |
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17 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime('%H:%M')) | |
18 |
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18 | |||
19 | d1970 = datetime.datetime(1970,1,1) |
|
19 | d1970 = datetime.datetime(1970,1,1) | |
20 |
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20 | |||
21 | class PlotData(Operation, Process): |
|
21 | class PlotData(Operation, Process): | |
22 |
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22 | |||
23 | CODE = 'Figure' |
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23 | CODE = 'Figure' | |
24 | colormap = 'jet' |
|
24 | colormap = 'jet' | |
25 | CONFLATE = True |
|
25 | CONFLATE = True | |
26 | __MAXNUMX = 80 |
|
26 | __MAXNUMX = 80 | |
27 | __MAXNUMY = 80 |
|
27 | __MAXNUMY = 80 | |
28 | __missing = 1E30 |
|
28 | __missing = 1E30 | |
29 |
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29 | |||
30 | def __init__(self, **kwargs): |
|
30 | def __init__(self, **kwargs): | |
31 |
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31 | |||
32 | Operation.__init__(self, plot=True, **kwargs) |
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32 | Operation.__init__(self, plot=True, **kwargs) | |
33 | Process.__init__(self) |
|
33 | Process.__init__(self) | |
34 | self.kwargs['code'] = self.CODE |
|
34 | self.kwargs['code'] = self.CODE | |
35 | self.mp = False |
|
35 | self.mp = False | |
36 | self.dataOut = None |
|
36 | self.dataOut = None | |
37 | self.isConfig = False |
|
37 | self.isConfig = False | |
38 | self.figure = None |
|
38 | self.figure = None | |
39 | self.axes = [] |
|
39 | self.axes = [] | |
40 | self.localtime = kwargs.pop('localtime', True) |
|
40 | self.localtime = kwargs.pop('localtime', True) | |
41 | self.show = kwargs.get('show', True) |
|
41 | self.show = kwargs.get('show', True) | |
42 | self.save = kwargs.get('save', False) |
|
42 | self.save = kwargs.get('save', False) | |
43 | self.colormap = kwargs.get('colormap', self.colormap) |
|
43 | self.colormap = kwargs.get('colormap', self.colormap) | |
44 | self.showprofile = kwargs.get('showprofile', True) |
|
44 | self.showprofile = kwargs.get('showprofile', True) | |
45 | self.title = kwargs.get('wintitle', '') |
|
45 | self.title = kwargs.get('wintitle', '') | |
46 | self.xaxis = kwargs.get('xaxis', 'time') |
|
46 | self.xaxis = kwargs.get('xaxis', 'time') | |
47 | self.zmin = kwargs.get('zmin', None) |
|
47 | self.zmin = kwargs.get('zmin', None) | |
48 | self.zmax = kwargs.get('zmax', None) |
|
48 | self.zmax = kwargs.get('zmax', None) | |
49 | self.xmin = kwargs.get('xmin', None) |
|
49 | self.xmin = kwargs.get('xmin', None) | |
50 | self.xmax = kwargs.get('xmax', None) |
|
50 | self.xmax = kwargs.get('xmax', None) | |
51 | self.xrange = kwargs.get('xrange', 24) |
|
51 | self.xrange = kwargs.get('xrange', 24) | |
52 | self.ymin = kwargs.get('ymin', None) |
|
52 | self.ymin = kwargs.get('ymin', None) | |
53 | self.ymax = kwargs.get('ymax', None) |
|
53 | self.ymax = kwargs.get('ymax', None) | |
54 | self.throttle_value = 1 |
|
54 | self.throttle_value = 1 | |
55 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
|
55 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): | |
56 |
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56 | |||
57 | if x_buffer.shape[0] < 2: |
|
57 | if x_buffer.shape[0] < 2: | |
58 | return x_buffer, y_buffer, z_buffer |
|
58 | return x_buffer, y_buffer, z_buffer | |
59 |
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59 | |||
60 | deltas = x_buffer[1:] - x_buffer[0:-1] |
|
60 | deltas = x_buffer[1:] - x_buffer[0:-1] | |
61 | x_median = np.median(deltas) |
|
61 | x_median = np.median(deltas) | |
62 |
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62 | |||
63 | index = np.where(deltas > 5*x_median) |
|
63 | index = np.where(deltas > 5*x_median) | |
64 |
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64 | |||
65 | if len(index[0]) != 0: |
|
65 | if len(index[0]) != 0: | |
66 | z_buffer[::, index[0], ::] = self.__missing |
|
66 | z_buffer[::, index[0], ::] = self.__missing | |
67 | z_buffer = np.ma.masked_inside(z_buffer, |
|
67 | z_buffer = np.ma.masked_inside(z_buffer, | |
68 | 0.99*self.__missing, |
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68 | 0.99*self.__missing, | |
69 | 1.01*self.__missing) |
|
69 | 1.01*self.__missing) | |
70 |
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70 | |||
71 | return x_buffer, y_buffer, z_buffer |
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71 | return x_buffer, y_buffer, z_buffer | |
72 |
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72 | |||
73 | def decimate(self): |
|
73 | def decimate(self): | |
74 |
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74 | |||
75 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
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75 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 | |
76 | dy = int(len(self.y)/self.__MAXNUMY) + 1 |
|
76 | dy = int(len(self.y)/self.__MAXNUMY) + 1 | |
77 |
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77 | |||
78 | # x = self.x[::dx] |
|
78 | # x = self.x[::dx] | |
79 | x = self.x |
|
79 | x = self.x | |
80 | y = self.y[::dy] |
|
80 | y = self.y[::dy] | |
81 | z = self.z[::, ::, ::dy] |
|
81 | z = self.z[::, ::, ::dy] | |
82 |
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82 | |||
83 | return x, y, z |
|
83 | return x, y, z | |
84 |
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84 | |||
85 | def __plot(self): |
|
85 | def __plot(self): | |
86 |
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86 | |||
87 | print 'plotting...{}'.format(self.CODE) |
|
87 | print 'plotting...{}'.format(self.CODE) | |
88 |
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88 | |||
|
89 | if self.show: | |||
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90 | self.figure.show() | |||
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91 | ||||
89 | self.plot() |
|
92 | self.plot() | |
90 | self.figure.suptitle('{} {} - Date:{}'.format(self.title, self.CODE.upper(), |
|
93 | self.figure.suptitle('{} {} - Date:{}'.format(self.title, self.CODE.upper(), | |
91 | datetime.datetime.utcfromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S'))) |
|
94 | datetime.datetime.utcfromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S'))) | |
92 |
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95 | |||
93 | if self.save: |
|
96 | if self.save: | |
94 | figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE, |
|
97 | figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE, | |
95 | datetime.datetime.utcfromtimestamp(self.times[0]).strftime('%y%m%d_%H%M%S'))) |
|
98 | datetime.datetime.utcfromtimestamp(self.times[0]).strftime('%y%m%d_%H%M%S'))) | |
96 | print 'Saving figure: {}'.format(figname) |
|
99 | print 'Saving figure: {}'.format(figname) | |
97 | self.figure.savefig(figname) |
|
100 | self.figure.savefig(figname) | |
98 |
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101 | |||
99 | self.figure.canvas.draw() |
|
102 | self.figure.canvas.draw() | |
100 |
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103 | |||
101 | def plot(self): |
|
104 | def plot(self): | |
102 |
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105 | |||
103 | print 'plotting...{}'.format(self.CODE.upper()) |
|
106 | print 'plotting...{}'.format(self.CODE.upper()) | |
104 | return |
|
107 | return | |
105 |
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108 | |||
106 | def run(self): |
|
109 | def run(self): | |
107 |
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110 | |||
108 | print '[Starting] {}'.format(self.name) |
|
111 | print '[Starting] {}'.format(self.name) | |
109 | context = zmq.Context() |
|
112 | context = zmq.Context() | |
110 | receiver = context.socket(zmq.SUB) |
|
113 | receiver = context.socket(zmq.SUB) | |
111 | receiver.setsockopt(zmq.SUBSCRIBE, '') |
|
114 | receiver.setsockopt(zmq.SUBSCRIBE, '') | |
112 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) |
|
115 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) | |
113 | receiver.connect("ipc:///tmp/zmq.plots") |
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116 | receiver.connect("ipc:///tmp/zmq.plots") | |
114 |
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117 | |||
115 | while True: |
|
118 | while True: | |
116 | try: |
|
119 | try: | |
117 | #if True: |
|
120 | #if True: | |
118 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK) |
|
121 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK) | |
119 | self.dataOut = self.data['dataOut'] |
|
122 | self.dataOut = self.data['dataOut'] | |
120 | self.times = self.data['times'] |
|
123 | self.times = self.data['times'] | |
121 | self.times.sort() |
|
124 | self.times.sort() | |
122 | self.throttle_value = self.data['throttle'] |
|
125 | self.throttle_value = self.data['throttle'] | |
123 | self.min_time = self.times[0] |
|
126 | self.min_time = self.times[0] | |
124 | self.max_time = self.times[-1] |
|
127 | self.max_time = self.times[-1] | |
125 |
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128 | |||
126 | if self.isConfig is False: |
|
129 | if self.isConfig is False: | |
127 | self.setup() |
|
130 | self.setup() | |
128 | self.isConfig = True |
|
131 | self.isConfig = True | |
129 | self.__plot() |
|
132 | self.__plot() | |
130 |
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133 | |||
131 | if self.data['ENDED'] is True: |
|
134 | if self.data['ENDED'] is True: | |
132 | # self.__plot() |
|
135 | # self.__plot() | |
133 | self.isConfig = False |
|
136 | self.isConfig = False | |
134 |
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137 | |||
135 | except zmq.Again as e: |
|
138 | except zmq.Again as e: | |
136 | print 'Waiting for data...' |
|
139 | print 'Waiting for data...' | |
137 | plt.pause(self.throttle_value) |
|
140 | plt.pause(self.throttle_value) | |
138 | # time.sleep(3) |
|
141 | # time.sleep(3) | |
139 |
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142 | |||
140 | def close(self): |
|
143 | def close(self): | |
141 | if self.dataOut: |
|
144 | if self.dataOut: | |
142 | self._plot() |
|
145 | self._plot() | |
143 |
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146 | |||
144 |
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147 | |||
145 | class PlotSpectraData(PlotData): |
|
148 | class PlotSpectraData(PlotData): | |
146 |
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149 | |||
147 | CODE = 'spc' |
|
150 | CODE = 'spc' | |
148 | colormap = 'jro' |
|
151 | colormap = 'jro' | |
149 | CONFLATE = False |
|
152 | CONFLATE = False | |
150 | def setup(self): |
|
153 | def setup(self): | |
151 |
|
154 | |||
152 | ncolspan = 1 |
|
155 | ncolspan = 1 | |
153 | colspan = 1 |
|
156 | colspan = 1 | |
154 | self.ncols = int(numpy.sqrt(self.dataOut.nChannels)+0.9) |
|
157 | self.ncols = int(numpy.sqrt(self.dataOut.nChannels)+0.9) | |
155 | self.nrows = int(self.dataOut.nChannels*1./self.ncols + 0.9) |
|
158 | self.nrows = int(self.dataOut.nChannels*1./self.ncols + 0.9) | |
156 | self.width = 3.6*self.ncols |
|
159 | self.width = 3.6*self.ncols | |
157 | self.height = 3.2*self.nrows |
|
160 | self.height = 3.2*self.nrows | |
158 | if self.showprofile: |
|
161 | if self.showprofile: | |
159 | ncolspan = 3 |
|
162 | ncolspan = 3 | |
160 | colspan = 2 |
|
163 | colspan = 2 | |
161 | self.width += 1.2*self.ncols |
|
164 | self.width += 1.2*self.ncols | |
162 |
|
165 | |||
163 | self.ylabel = 'Range [Km]' |
|
166 | self.ylabel = 'Range [Km]' | |
164 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] |
|
167 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] | |
165 |
|
168 | |||
166 | if self.figure is None: |
|
169 | if self.figure is None: | |
167 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
170 | self.figure = plt.figure(figsize=(self.width, self.height), | |
168 | edgecolor='k', |
|
171 | edgecolor='k', | |
169 | facecolor='w') |
|
172 | facecolor='w') | |
170 | else: |
|
173 | else: | |
171 | self.figure.clf() |
|
174 | self.figure.clf() | |
172 |
|
175 | |||
173 | n = 0 |
|
176 | n = 0 | |
174 | for y in range(self.nrows): |
|
177 | for y in range(self.nrows): | |
175 | for x in range(self.ncols): |
|
178 | for x in range(self.ncols): | |
176 | if n >= self.dataOut.nChannels: |
|
179 | if n >= self.dataOut.nChannels: | |
177 | break |
|
180 | break | |
178 | ax = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan), 1, colspan) |
|
181 | ax = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan), 1, colspan) | |
179 | if self.showprofile: |
|
182 | if self.showprofile: | |
180 | ax.ax_profile = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan+colspan), 1, 1) |
|
183 | ax.ax_profile = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan+colspan), 1, 1) | |
181 |
|
184 | |||
182 | ax.firsttime = True |
|
185 | ax.firsttime = True | |
183 | self.axes.append(ax) |
|
186 | self.axes.append(ax) | |
184 | n += 1 |
|
187 | n += 1 | |
185 |
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188 | |||
186 | self.figure.subplots_adjust(left=0.1, right=0.95, bottom=0.15, top=0.85, wspace=0.9, hspace=0.5) |
|
189 | self.figure.subplots_adjust(left=0.1, right=0.95, bottom=0.15, top=0.85, wspace=0.9, hspace=0.5) | |
187 | self.figure.show() |
|
|||
188 |
|
190 | |||
189 | def plot(self): |
|
191 | def plot(self): | |
190 |
|
192 | |||
191 | if self.xaxis == "frequency": |
|
193 | if self.xaxis == "frequency": | |
192 | x = self.dataOut.getFreqRange(1)/1000. |
|
194 | x = self.dataOut.getFreqRange(1)/1000. | |
193 | xlabel = "Frequency (kHz)" |
|
195 | xlabel = "Frequency (kHz)" | |
194 | elif self.xaxis == "time": |
|
196 | elif self.xaxis == "time": | |
195 | x = self.dataOut.getAcfRange(1) |
|
197 | x = self.dataOut.getAcfRange(1) | |
196 | xlabel = "Time (ms)" |
|
198 | xlabel = "Time (ms)" | |
197 | else: |
|
199 | else: | |
198 | x = self.dataOut.getVelRange(1) |
|
200 | x = self.dataOut.getVelRange(1) | |
199 | xlabel = "Velocity (m/s)" |
|
201 | xlabel = "Velocity (m/s)" | |
200 |
|
202 | |||
201 | y = self.dataOut.getHeiRange() |
|
203 | y = self.dataOut.getHeiRange() | |
202 | z = self.data[self.CODE] |
|
204 | z = self.data[self.CODE] | |
203 |
|
205 | |||
204 | for n, ax in enumerate(self.axes): |
|
206 | for n, ax in enumerate(self.axes): | |
205 |
|
207 | |||
206 | if ax.firsttime: |
|
208 | if ax.firsttime: | |
207 | self.xmax = self.xmax if self.xmax else np.nanmax(x) |
|
209 | self.xmax = self.xmax if self.xmax else np.nanmax(x) | |
208 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
210 | self.xmin = self.xmin if self.xmin else -self.xmax | |
209 | self.ymin = self.ymin if self.ymin else np.nanmin(y) |
|
211 | self.ymin = self.ymin if self.ymin else np.nanmin(y) | |
210 | self.ymax = self.ymax if self.ymax else np.nanmax(y) |
|
212 | self.ymax = self.ymax if self.ymax else np.nanmax(y) | |
211 | self.zmin = self.zmin if self.zmin else np.nanmin(z) |
|
213 | self.zmin = self.zmin if self.zmin else np.nanmin(z) | |
212 | self.zmax = self.zmax if self.zmax else np.nanmax(z) |
|
214 | self.zmax = self.zmax if self.zmax else np.nanmax(z) | |
213 | ax.plot = ax.pcolormesh(x, y, z[n].T, |
|
215 | ax.plot = ax.pcolormesh(x, y, z[n].T, | |
214 | vmin=self.zmin, |
|
216 | vmin=self.zmin, | |
215 | vmax=self.zmax, |
|
217 | vmax=self.zmax, | |
216 | cmap=plt.get_cmap(self.colormap) |
|
218 | cmap=plt.get_cmap(self.colormap) | |
217 | ) |
|
219 | ) | |
218 | divider = make_axes_locatable(ax) |
|
220 | divider = make_axes_locatable(ax) | |
219 | cax = divider.new_horizontal(size='3%', pad=0.05) |
|
221 | cax = divider.new_horizontal(size='3%', pad=0.05) | |
220 | self.figure.add_axes(cax) |
|
222 | self.figure.add_axes(cax) | |
221 | plt.colorbar(ax.plot, cax) |
|
223 | plt.colorbar(ax.plot, cax) | |
222 |
|
224 | |||
223 | ax.set_xlim(self.xmin, self.xmax) |
|
225 | ax.set_xlim(self.xmin, self.xmax) | |
224 | ax.set_ylim(self.ymin, self.ymax) |
|
226 | ax.set_ylim(self.ymin, self.ymax) | |
225 |
|
227 | |||
226 | ax.xaxis.set_major_locator(LinearLocator(5)) |
|
228 | ax.xaxis.set_major_locator(LinearLocator(5)) | |
227 | #ax.yaxis.set_major_locator(LinearLocator(4)) |
|
229 | #ax.yaxis.set_major_locator(LinearLocator(4)) | |
228 |
|
230 | |||
229 | ax.set_ylabel(self.ylabel) |
|
231 | ax.set_ylabel(self.ylabel) | |
230 | ax.set_xlabel(xlabel) |
|
232 | ax.set_xlabel(xlabel) | |
231 |
|
233 | |||
232 | ax.firsttime = False |
|
234 | ax.firsttime = False | |
233 |
|
235 | |||
234 | if self.showprofile: |
|
236 | if self.showprofile: | |
235 | ax.plot_profile= ax.ax_profile.plot(self.data['rti'][self.max_time][n], y)[0] |
|
237 | ax.plot_profile= ax.ax_profile.plot(self.data['rti'][self.max_time][n], y)[0] | |
236 | ax.ax_profile.set_xlim(self.zmin, self.zmax) |
|
238 | ax.ax_profile.set_xlim(self.zmin, self.zmax) | |
237 | ax.ax_profile.set_ylim(self.ymin, self.ymax) |
|
239 | ax.ax_profile.set_ylim(self.ymin, self.ymax) | |
238 | ax.ax_profile.set_xlabel('dB') |
|
240 | ax.ax_profile.set_xlabel('dB') | |
239 | ax.ax_profile.grid(b=True, axis='x') |
|
241 | ax.ax_profile.grid(b=True, axis='x') | |
240 | ax.plot_noise = ax.ax_profile.plot(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y, |
|
242 | ax.plot_noise = ax.ax_profile.plot(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y, | |
241 | color="k", linestyle="dashed", lw=2)[0] |
|
243 | color="k", linestyle="dashed", lw=2)[0] | |
242 | [tick.set_visible(False) for tick in ax.ax_profile.get_yticklabels()] |
|
244 | [tick.set_visible(False) for tick in ax.ax_profile.get_yticklabels()] | |
243 | else: |
|
245 | else: | |
244 | ax.plot.set_array(z[n].T.ravel()) |
|
246 | ax.plot.set_array(z[n].T.ravel()) | |
245 | if self.showprofile: |
|
247 | if self.showprofile: | |
246 | ax.plot_profile.set_data(self.data['rti'][self.max_time][n], y) |
|
248 | ax.plot_profile.set_data(self.data['rti'][self.max_time][n], y) | |
247 | ax.plot_noise.set_data(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y) |
|
249 | ax.plot_noise.set_data(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y) | |
248 |
|
250 | |||
249 | ax.set_title('{} - Noise: {:.2f} dB'.format(self.titles[n], self.data['noise'][self.max_time][n]), |
|
251 | ax.set_title('{} - Noise: {:.2f} dB'.format(self.titles[n], self.data['noise'][self.max_time][n]), | |
250 | size=8) |
|
252 | size=8) | |
251 |
|
253 | |||
252 | class PlotRTIData(PlotData): |
|
254 | class PlotRTIData(PlotData): | |
253 |
|
255 | |||
254 | CODE = 'rti' |
|
256 | CODE = 'rti' | |
255 | colormap = 'jro' |
|
257 | colormap = 'jro' | |
256 |
|
258 | |||
257 | def setup(self): |
|
259 | def setup(self): | |
258 | self.ncols = 1 |
|
260 | self.ncols = 1 | |
259 | self.nrows = self.dataOut.nChannels |
|
261 | self.nrows = self.dataOut.nChannels | |
260 | self.width = 10 |
|
262 | self.width = 10 | |
261 | self.height = 2.2*self.nrows |
|
263 | self.height = 2.2*self.nrows | |
262 | if self.nrows==1: |
|
264 | if self.nrows==1: | |
263 | self.height += 1 |
|
265 | self.height += 1 | |
264 | self.ylabel = 'Range [Km]' |
|
266 | self.ylabel = 'Range [Km]' | |
265 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] |
|
267 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] | |
266 |
|
268 | |||
267 | if self.figure is None: |
|
269 | if self.figure is None: | |
268 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
270 | self.figure = plt.figure(figsize=(self.width, self.height), | |
269 | edgecolor='k', |
|
271 | edgecolor='k', | |
270 | facecolor='w') |
|
272 | facecolor='w') | |
271 | else: |
|
273 | else: | |
272 | self.figure.clf() |
|
274 | self.figure.clf() | |
273 | self.axes = [] |
|
275 | self.axes = [] | |
274 |
|
276 | |||
275 | for n in range(self.nrows): |
|
277 | for n in range(self.nrows): | |
276 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) |
|
278 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) | |
277 | ax.firsttime = True |
|
279 | ax.firsttime = True | |
278 | self.axes.append(ax) |
|
280 | self.axes.append(ax) | |
279 | self.figure.subplots_adjust(hspace=0.5) |
|
281 | self.figure.subplots_adjust(hspace=0.5) | |
280 | self.figure.show() |
|
|||
281 |
|
282 | |||
282 | def plot(self): |
|
283 | def plot(self): | |
283 |
|
284 | |||
284 | self.x = np.array(self.times) |
|
285 | self.x = np.array(self.times) | |
285 | self.y = self.dataOut.getHeiRange() |
|
286 | self.y = self.dataOut.getHeiRange() | |
286 | self.z = [] |
|
287 | self.z = [] | |
287 |
|
288 | |||
288 | for ch in range(self.nrows): |
|
289 | for ch in range(self.nrows): | |
289 | self.z.append([self.data[self.CODE][t][ch] for t in self.times]) |
|
290 | self.z.append([self.data[self.CODE][t][ch] for t in self.times]) | |
290 |
|
291 | |||
291 | self.z = np.array(self.z) |
|
292 | self.z = np.array(self.z) | |
292 | for n, ax in enumerate(self.axes): |
|
293 | for n, ax in enumerate(self.axes): | |
293 |
|
294 | |||
294 | x, y, z = self.fill_gaps(*self.decimate()) |
|
295 | x, y, z = self.fill_gaps(*self.decimate()) | |
295 | xmin = self.min_time |
|
296 | xmin = self.min_time | |
296 | xmax = xmin+self.xrange*60*60 |
|
297 | xmax = xmin+self.xrange*60*60 | |
297 | if ax.firsttime: |
|
298 | if ax.firsttime: | |
298 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) |
|
299 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) | |
299 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) |
|
300 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) | |
300 | self.zmin = self.zmin if self.zmin else np.nanmin(self.z) |
|
301 | self.zmin = self.zmin if self.zmin else np.nanmin(self.z) | |
301 | self.zmax = self.zmax if self.zmax else np.nanmax(self.z) |
|
302 | self.zmax = self.zmax if self.zmax else np.nanmax(self.z) | |
302 | plot = ax.pcolormesh(x, y, z[n].T, |
|
303 | plot = ax.pcolormesh(x, y, z[n].T, | |
303 | vmin=self.zmin, |
|
304 | vmin=self.zmin, | |
304 | vmax=self.zmax, |
|
305 | vmax=self.zmax, | |
305 | cmap=plt.get_cmap(self.colormap) |
|
306 | cmap=plt.get_cmap(self.colormap) | |
306 | ) |
|
307 | ) | |
307 | divider = make_axes_locatable(ax) |
|
308 | divider = make_axes_locatable(ax) | |
308 | cax = divider.new_horizontal(size='2%', pad=0.05) |
|
309 | cax = divider.new_horizontal(size='2%', pad=0.05) | |
309 | self.figure.add_axes(cax) |
|
310 | self.figure.add_axes(cax) | |
310 | plt.colorbar(plot, cax) |
|
311 | plt.colorbar(plot, cax) | |
311 | ax.set_ylim(self.ymin, self.ymax) |
|
312 | ax.set_ylim(self.ymin, self.ymax) | |
312 | if self.xaxis == 'time': |
|
313 | if self.xaxis == 'time': | |
313 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
314 | ax.xaxis.set_major_formatter(FuncFormatter(func)) | |
314 | ax.xaxis.set_major_locator(LinearLocator(6)) |
|
315 | ax.xaxis.set_major_locator(LinearLocator(6)) | |
315 |
|
316 | |||
316 | # ax.yaxis.set_major_locator(LinearLocator(4)) |
|
317 | # ax.yaxis.set_major_locator(LinearLocator(4)) | |
317 |
|
318 | |||
318 | ax.set_ylabel(self.ylabel) |
|
319 | ax.set_ylabel(self.ylabel) | |
319 |
|
320 | |||
320 | # if self.xmin is None: |
|
321 | # if self.xmin is None: | |
321 | # xmin = self.min_time |
|
322 | # xmin = self.min_time | |
322 | # else: |
|
323 | # else: | |
323 | # xmin = (datetime.datetime.combine(self.dataOut.datatime.date(), |
|
324 | # xmin = (datetime.datetime.combine(self.dataOut.datatime.date(), | |
324 | # datetime.time(self.xmin, 0, 0))-d1970).total_seconds() |
|
325 | # datetime.time(self.xmin, 0, 0))-d1970).total_seconds() | |
325 |
|
326 | |||
326 | ax.set_xlim(xmin, xmax) |
|
327 | ax.set_xlim(xmin, xmax) | |
327 | ax.firsttime = False |
|
328 | ax.firsttime = False | |
328 | else: |
|
329 | else: | |
329 | ax.collections.remove(ax.collections[0]) |
|
330 | ax.collections.remove(ax.collections[0]) | |
330 | ax.set_xlim(xmin, xmax) |
|
331 | ax.set_xlim(xmin, xmax) | |
331 | plot = ax.pcolormesh(x, y, z[n].T, |
|
332 | plot = ax.pcolormesh(x, y, z[n].T, | |
332 | vmin=self.zmin, |
|
333 | vmin=self.zmin, | |
333 | vmax=self.zmax, |
|
334 | vmax=self.zmax, | |
334 | cmap=plt.get_cmap(self.colormap) |
|
335 | cmap=plt.get_cmap(self.colormap) | |
335 | ) |
|
336 | ) | |
336 | ax.set_title('{} {}'.format(self.titles[n], |
|
337 | ax.set_title('{} {}'.format(self.titles[n], | |
337 | datetime.datetime.utcfromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), |
|
338 | datetime.datetime.utcfromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), | |
338 | size=8) |
|
339 | size=8) | |
339 |
|
340 | |||
340 |
|
341 | |||
341 | class PlotCOHData(PlotRTIData): |
|
342 | class PlotCOHData(PlotRTIData): | |
342 |
|
343 | |||
343 | CODE = 'coh' |
|
344 | CODE = 'coh' | |
344 |
|
345 | |||
345 | def setup(self): |
|
346 | def setup(self): | |
346 |
|
347 | |||
347 | self.ncols = 1 |
|
348 | self.ncols = 1 | |
348 | self.nrows = self.dataOut.nPairs |
|
349 | self.nrows = self.dataOut.nPairs | |
349 | self.width = 10 |
|
350 | self.width = 10 | |
350 | self.height = 2.2*self.nrows |
|
351 | self.height = 2.2*self.nrows | |
351 | if self.nrows==1: |
|
352 | if self.nrows==1: | |
352 | self.height += 1 |
|
353 | self.height += 1 | |
353 | self.ylabel = 'Range [Km]' |
|
354 | self.ylabel = 'Range [Km]' | |
354 | self.titles = ['Channels {}'.format(x) for x in self.dataOut.pairsList] |
|
355 | self.titles = ['Channels {}'.format(x) for x in self.dataOut.pairsList] | |
355 |
|
356 | |||
356 | if self.figure is None: |
|
357 | if self.figure is None: | |
357 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
358 | self.figure = plt.figure(figsize=(self.width, self.height), | |
358 | edgecolor='k', |
|
359 | edgecolor='k', | |
359 | facecolor='w') |
|
360 | facecolor='w') | |
360 | else: |
|
361 | else: | |
361 | self.figure.clf() |
|
362 | self.figure.clf() | |
362 | self.axes = [] |
|
363 | self.axes = [] | |
363 |
|
364 | |||
364 | for n in range(self.nrows): |
|
365 | for n in range(self.nrows): | |
365 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) |
|
366 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) | |
366 | ax.firsttime = True |
|
367 | ax.firsttime = True | |
367 | self.axes.append(ax) |
|
368 | self.axes.append(ax) | |
368 |
|
369 | |||
369 | self.figure.subplots_adjust(hspace=0.5) |
|
370 | self.figure.subplots_adjust(hspace=0.5) | |
370 | self.figure.show() |
|
|||
371 |
|
371 | |||
372 | class PlotNoiseData(PlotData): |
|
372 | class PlotNoiseData(PlotData): | |
373 | CODE = 'noise' |
|
373 | CODE = 'noise' | |
374 |
|
374 | |||
375 | def setup(self): |
|
375 | def setup(self): | |
376 |
|
376 | |||
377 | self.ncols = 1 |
|
377 | self.ncols = 1 | |
378 | self.nrows = 1 |
|
378 | self.nrows = 1 | |
379 | self.width = 10 |
|
379 | self.width = 10 | |
380 | self.height = 3.2 |
|
380 | self.height = 3.2 | |
381 | self.ylabel = 'Intensity [dB]' |
|
381 | self.ylabel = 'Intensity [dB]' | |
382 | self.titles = ['Noise'] |
|
382 | self.titles = ['Noise'] | |
383 |
|
383 | |||
384 | if self.figure is None: |
|
384 | if self.figure is None: | |
385 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
385 | self.figure = plt.figure(figsize=(self.width, self.height), | |
386 | edgecolor='k', |
|
386 | edgecolor='k', | |
387 | facecolor='w') |
|
387 | facecolor='w') | |
388 | else: |
|
388 | else: | |
389 | self.figure.clf() |
|
389 | self.figure.clf() | |
390 | self.axes = [] |
|
390 | self.axes = [] | |
391 |
|
391 | |||
392 | self.ax = self.figure.add_subplot(self.nrows, self.ncols, 1) |
|
392 | self.ax = self.figure.add_subplot(self.nrows, self.ncols, 1) | |
393 | self.ax.firsttime = True |
|
393 | self.ax.firsttime = True | |
394 |
|
394 | |||
395 | self.figure.show() |
|
|||
396 |
|
||||
397 | def plot(self): |
|
395 | def plot(self): | |
398 |
|
396 | |||
399 | x = self.times |
|
397 | x = self.times | |
400 | xmin = self.min_time |
|
398 | xmin = self.min_time | |
401 | xmax = xmin+self.xrange*60*60 |
|
399 | xmax = xmin+self.xrange*60*60 | |
402 | if self.ax.firsttime: |
|
400 | if self.ax.firsttime: | |
403 | for ch in self.dataOut.channelList: |
|
401 | for ch in self.dataOut.channelList: | |
404 | y = [self.data[self.CODE][t][ch] for t in self.times] |
|
402 | y = [self.data[self.CODE][t][ch] for t in self.times] | |
405 | self.ax.plot(x, y, lw=1, label='Ch{}'.format(ch)) |
|
403 | self.ax.plot(x, y, lw=1, label='Ch{}'.format(ch)) | |
406 | self.ax.firsttime = False |
|
404 | self.ax.firsttime = False | |
407 | self.ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
405 | self.ax.xaxis.set_major_formatter(FuncFormatter(func)) | |
408 | self.ax.xaxis.set_major_locator(LinearLocator(6)) |
|
406 | self.ax.xaxis.set_major_locator(LinearLocator(6)) | |
409 | self.ax.set_ylabel(self.ylabel) |
|
407 | self.ax.set_ylabel(self.ylabel) | |
410 | plt.legend() |
|
408 | plt.legend() | |
411 | else: |
|
409 | else: | |
412 | for ch in self.dataOut.channelList: |
|
410 | for ch in self.dataOut.channelList: | |
413 | y = [self.data[self.CODE][t][ch] for t in self.times] |
|
411 | y = [self.data[self.CODE][t][ch] for t in self.times] | |
414 | self.ax.lines[ch].set_data(x, y) |
|
412 | self.ax.lines[ch].set_data(x, y) | |
415 |
|
413 | |||
416 | self.ax.set_xlim(xmin, xmax) |
|
414 | self.ax.set_xlim(xmin, xmax) | |
417 | self.ax.set_ylim(min(y)-5, max(y)+5) |
|
415 | self.ax.set_ylim(min(y)-5, max(y)+5) | |
418 |
|
416 | |||
419 | class PlotSNRData(PlotRTIData): |
|
417 | class PlotSNRData(PlotRTIData): | |
420 | CODE = 'snr' |
|
418 | CODE = 'snr' | |
421 |
|
419 | |||
422 | class PlotDOPData(PlotRTIData): |
|
420 | class PlotDOPData(PlotRTIData): | |
423 | CODE = 'dop' |
|
421 | CODE = 'dop' | |
424 | colormap = 'jet' |
|
422 | colormap = 'jet' | |
425 |
|
423 | |||
426 | class PlotPHASEData(PlotCOHData): |
|
424 | class PlotPHASEData(PlotCOHData): | |
427 | CODE = 'phase' |
|
425 | CODE = 'phase' | |
428 | colormap = 'seismic' |
|
426 | colormap = 'seismic' |
@@ -1,420 +1,422 | |||||
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 cPickle as pickle |
|
10 | import cPickle as pickle | |
11 | import datetime |
|
11 | import datetime | |
12 | from zmq.utils.monitor import recv_monitor_message |
|
12 | from zmq.utils.monitor import recv_monitor_message | |
13 | from functools import wraps |
|
13 | from functools import wraps | |
14 | from threading import Thread |
|
14 | from threading import Thread | |
15 | from multiprocessing import Process |
|
15 | from multiprocessing import Process | |
16 |
|
16 | |||
17 | from schainpy.model.proc.jroproc_base import Operation, ProcessingUnit |
|
17 | from schainpy.model.proc.jroproc_base import Operation, ProcessingUnit | |
18 |
|
18 | |||
19 | MAXNUMX = 100 |
|
19 | MAXNUMX = 100 | |
20 | MAXNUMY = 100 |
|
20 | MAXNUMY = 100 | |
21 |
|
21 | |||
22 | class PrettyFloat(float): |
|
22 | class PrettyFloat(float): | |
23 | def __repr__(self): |
|
23 | def __repr__(self): | |
24 | return '%.2f' % self |
|
24 | return '%.2f' % self | |
25 |
|
25 | |||
26 | def roundFloats(obj): |
|
26 | def roundFloats(obj): | |
27 | if isinstance(obj, list): |
|
27 | if isinstance(obj, list): | |
28 | return map(roundFloats, obj) |
|
28 | return map(roundFloats, obj) | |
29 | elif isinstance(obj, float): |
|
29 | elif isinstance(obj, float): | |
30 | return round(obj, 2) |
|
30 | return round(obj, 2) | |
31 |
|
31 | |||
32 | def decimate(z): |
|
32 | def decimate(z): | |
33 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
|
33 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 | |
|
34 | ||||
34 | dy = int(len(z[0])/MAXNUMY) + 1 |
|
35 | dy = int(len(z[0])/MAXNUMY) + 1 | |
|
36 | ||||
35 | return z[::, ::dy] |
|
37 | return z[::, ::dy] | |
36 |
|
38 | |||
37 | class throttle(object): |
|
39 | class throttle(object): | |
38 | """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 | |
39 | time period. |
|
41 | time period. | |
40 | 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 | |
41 | will sleep until it can be called: |
|
43 | will sleep until it can be called: | |
42 | @throttle(minutes=1) |
|
44 | @throttle(minutes=1) | |
43 | def foo(): |
|
45 | def foo(): | |
44 | pass |
|
46 | pass | |
45 |
|
47 | |||
46 | for i in range(10): |
|
48 | for i in range(10): | |
47 | foo() |
|
49 | foo() | |
48 | print "This function has run %s times." % i |
|
50 | print "This function has run %s times." % i | |
49 | """ |
|
51 | """ | |
50 |
|
52 | |||
51 | def __init__(self, seconds=0, minutes=0, hours=0): |
|
53 | def __init__(self, seconds=0, minutes=0, hours=0): | |
52 | self.throttle_period = datetime.timedelta( |
|
54 | self.throttle_period = datetime.timedelta( | |
53 | seconds=seconds, minutes=minutes, hours=hours |
|
55 | seconds=seconds, minutes=minutes, hours=hours | |
54 | ) |
|
56 | ) | |
55 |
|
57 | |||
56 | self.time_of_last_call = datetime.datetime.min |
|
58 | self.time_of_last_call = datetime.datetime.min | |
57 |
|
59 | |||
58 | def __call__(self, fn): |
|
60 | def __call__(self, fn): | |
59 | @wraps(fn) |
|
61 | @wraps(fn) | |
60 | def wrapper(*args, **kwargs): |
|
62 | def wrapper(*args, **kwargs): | |
61 | now = datetime.datetime.now() |
|
63 | now = datetime.datetime.now() | |
62 | time_since_last_call = now - self.time_of_last_call |
|
64 | time_since_last_call = now - self.time_of_last_call | |
63 | time_left = self.throttle_period - time_since_last_call |
|
65 | time_left = self.throttle_period - time_since_last_call | |
64 |
|
66 | |||
65 | if time_left > datetime.timedelta(seconds=0): |
|
67 | if time_left > datetime.timedelta(seconds=0): | |
66 | return |
|
68 | return | |
67 |
|
69 | |||
68 | self.time_of_last_call = datetime.datetime.now() |
|
70 | self.time_of_last_call = datetime.datetime.now() | |
69 | return fn(*args, **kwargs) |
|
71 | return fn(*args, **kwargs) | |
70 |
|
72 | |||
71 | return wrapper |
|
73 | return wrapper | |
72 |
|
74 | |||
73 |
|
75 | |||
74 | class PublishData(Operation): |
|
76 | class PublishData(Operation): | |
75 | """Clase publish.""" |
|
77 | """Clase publish.""" | |
76 |
|
78 | |||
77 | def __init__(self, **kwargs): |
|
79 | def __init__(self, **kwargs): | |
78 | """Inicio.""" |
|
80 | """Inicio.""" | |
79 | Operation.__init__(self, **kwargs) |
|
81 | Operation.__init__(self, **kwargs) | |
80 | self.isConfig = False |
|
82 | self.isConfig = False | |
81 | self.client = None |
|
83 | self.client = None | |
82 | self.zeromq = None |
|
84 | self.zeromq = None | |
83 | self.mqtt = None |
|
85 | self.mqtt = None | |
84 |
|
86 | |||
85 | def on_disconnect(self, client, userdata, rc): |
|
87 | def on_disconnect(self, client, userdata, rc): | |
86 | if rc != 0: |
|
88 | if rc != 0: | |
87 | print("Unexpected disconnection.") |
|
89 | print("Unexpected disconnection.") | |
88 | self.connect() |
|
90 | self.connect() | |
89 |
|
91 | |||
90 | def connect(self): |
|
92 | def connect(self): | |
91 | print 'trying to connect' |
|
93 | print 'trying to connect' | |
92 | try: |
|
94 | try: | |
93 | self.client.connect( |
|
95 | self.client.connect( | |
94 | host=self.host, |
|
96 | host=self.host, | |
95 | port=self.port, |
|
97 | port=self.port, | |
96 | keepalive=60*10, |
|
98 | keepalive=60*10, | |
97 | bind_address='') |
|
99 | bind_address='') | |
98 | self.client.loop_start() |
|
100 | self.client.loop_start() | |
99 | # self.client.publish( |
|
101 | # self.client.publish( | |
100 | # self.topic + 'SETUP', |
|
102 | # self.topic + 'SETUP', | |
101 | # json.dumps(setup), |
|
103 | # json.dumps(setup), | |
102 | # retain=True |
|
104 | # retain=True | |
103 | # ) |
|
105 | # ) | |
104 | except: |
|
106 | except: | |
105 | print "MQTT Conection error." |
|
107 | print "MQTT Conection error." | |
106 | self.client = False |
|
108 | self.client = False | |
107 |
|
109 | |||
108 | def setup(self, port=1883, username=None, password=None, clientId="user", zeromq=1, **kwargs): |
|
110 | def setup(self, port=1883, username=None, password=None, clientId="user", zeromq=1, **kwargs): | |
109 | self.counter = 0 |
|
111 | self.counter = 0 | |
110 | self.topic = kwargs.get('topic', 'schain') |
|
112 | self.topic = kwargs.get('topic', 'schain') | |
111 | self.delay = kwargs.get('delay', 0) |
|
113 | self.delay = kwargs.get('delay', 0) | |
112 | self.plottype = kwargs.get('plottype', 'spectra') |
|
114 | self.plottype = kwargs.get('plottype', 'spectra') | |
113 | self.host = kwargs.get('host', "10.10.10.82") |
|
115 | self.host = kwargs.get('host', "10.10.10.82") | |
114 | self.port = kwargs.get('port', 3000) |
|
116 | self.port = kwargs.get('port', 3000) | |
115 | self.clientId = clientId |
|
117 | self.clientId = clientId | |
116 | self.cnt = 0 |
|
118 | self.cnt = 0 | |
117 | self.zeromq = zeromq |
|
119 | self.zeromq = zeromq | |
118 | self.mqtt = kwargs.get('plottype', 0) |
|
120 | self.mqtt = kwargs.get('plottype', 0) | |
119 | self.client = None |
|
121 | self.client = None | |
120 | setup = [] |
|
122 | setup = [] | |
121 | if mqtt is 1: |
|
123 | if mqtt is 1: | |
122 | self.client = mqtt.Client( |
|
124 | self.client = mqtt.Client( | |
123 | client_id=self.clientId + self.topic + 'SCHAIN', |
|
125 | client_id=self.clientId + self.topic + 'SCHAIN', | |
124 | clean_session=True) |
|
126 | clean_session=True) | |
125 | self.client.on_disconnect = self.on_disconnect |
|
127 | self.client.on_disconnect = self.on_disconnect | |
126 | self.connect() |
|
128 | self.connect() | |
127 | for plot in self.plottype: |
|
129 | for plot in self.plottype: | |
128 | setup.append({ |
|
130 | setup.append({ | |
129 | 'plot': plot, |
|
131 | 'plot': plot, | |
130 | 'topic': self.topic + plot, |
|
132 | 'topic': self.topic + plot, | |
131 | 'title': getattr(self, plot + '_' + 'title', False), |
|
133 | 'title': getattr(self, plot + '_' + 'title', False), | |
132 | 'xlabel': getattr(self, plot + '_' + 'xlabel', False), |
|
134 | 'xlabel': getattr(self, plot + '_' + 'xlabel', False), | |
133 | 'ylabel': getattr(self, plot + '_' + 'ylabel', False), |
|
135 | 'ylabel': getattr(self, plot + '_' + 'ylabel', False), | |
134 | 'xrange': getattr(self, plot + '_' + 'xrange', False), |
|
136 | 'xrange': getattr(self, plot + '_' + 'xrange', False), | |
135 | 'yrange': getattr(self, plot + '_' + 'yrange', False), |
|
137 | 'yrange': getattr(self, plot + '_' + 'yrange', False), | |
136 | 'zrange': getattr(self, plot + '_' + 'zrange', False), |
|
138 | 'zrange': getattr(self, plot + '_' + 'zrange', False), | |
137 | }) |
|
139 | }) | |
138 | if zeromq is 1: |
|
140 | if zeromq is 1: | |
139 | context = zmq.Context() |
|
141 | context = zmq.Context() | |
140 | self.zmq_socket = context.socket(zmq.PUSH) |
|
142 | self.zmq_socket = context.socket(zmq.PUSH) | |
141 | server = kwargs.get('server', 'zmq.pipe') |
|
143 | server = kwargs.get('server', 'zmq.pipe') | |
142 |
|
144 | |||
143 | if 'tcp://' in server: |
|
145 | if 'tcp://' in server: | |
144 | address = server |
|
146 | address = server | |
145 | else: |
|
147 | else: | |
146 | address = 'ipc:///tmp/%s' % server |
|
148 | address = 'ipc:///tmp/%s' % server | |
147 |
|
149 | |||
148 | self.zmq_socket.connect(address) |
|
150 | self.zmq_socket.connect(address) | |
149 | time.sleep(1) |
|
151 | time.sleep(1) | |
150 |
|
152 | |||
151 |
|
||||
152 |
|
||||
153 | def publish_data(self): |
|
153 | def publish_data(self): | |
154 | self.dataOut.finished = False |
|
154 | self.dataOut.finished = False | |
155 | if self.mqtt is 1: |
|
155 | if self.mqtt is 1: | |
156 | yData = self.dataOut.heightList[:2].tolist() |
|
156 | yData = self.dataOut.heightList[:2].tolist() | |
157 | if self.plottype == 'spectra': |
|
157 | if self.plottype == 'spectra': | |
158 | data = getattr(self.dataOut, 'data_spc') |
|
158 | data = getattr(self.dataOut, 'data_spc') | |
159 | z = data/self.dataOut.normFactor |
|
159 | z = data/self.dataOut.normFactor | |
160 | zdB = 10*numpy.log10(z) |
|
160 | zdB = 10*numpy.log10(z) | |
161 | xlen, ylen = zdB[0].shape |
|
161 | xlen, ylen = zdB[0].shape | |
162 | dx = int(xlen/MAXNUMX) + 1 |
|
162 | dx = int(xlen/MAXNUMX) + 1 | |
163 | dy = int(ylen/MAXNUMY) + 1 |
|
163 | dy = int(ylen/MAXNUMY) + 1 | |
164 | Z = [0 for i in self.dataOut.channelList] |
|
164 | Z = [0 for i in self.dataOut.channelList] | |
165 | for i in self.dataOut.channelList: |
|
165 | for i in self.dataOut.channelList: | |
166 | Z[i] = zdB[i][::dx, ::dy].tolist() |
|
166 | Z[i] = zdB[i][::dx, ::dy].tolist() | |
167 | payload = { |
|
167 | payload = { | |
168 | 'timestamp': self.dataOut.utctime, |
|
168 | 'timestamp': self.dataOut.utctime, | |
169 | 'data': roundFloats(Z), |
|
169 | 'data': roundFloats(Z), | |
170 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
170 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
171 | 'interval': self.dataOut.getTimeInterval(), |
|
171 | 'interval': self.dataOut.getTimeInterval(), | |
172 | 'type': self.plottype, |
|
172 | 'type': self.plottype, | |
173 | 'yData': yData |
|
173 | 'yData': yData | |
174 | } |
|
174 | } | |
175 | # print payload |
|
175 | # print payload | |
176 |
|
176 | |||
177 | elif self.plottype in ('rti', 'power'): |
|
177 | elif self.plottype in ('rti', 'power'): | |
178 | data = getattr(self.dataOut, 'data_spc') |
|
178 | data = getattr(self.dataOut, 'data_spc') | |
179 | z = data/self.dataOut.normFactor |
|
179 | z = data/self.dataOut.normFactor | |
180 | avg = numpy.average(z, axis=1) |
|
180 | avg = numpy.average(z, axis=1) | |
181 | avgdB = 10*numpy.log10(avg) |
|
181 | avgdB = 10*numpy.log10(avg) | |
182 | xlen, ylen = z[0].shape |
|
182 | xlen, ylen = z[0].shape | |
183 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 |
|
183 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 | |
184 | AVG = [0 for i in self.dataOut.channelList] |
|
184 | AVG = [0 for i in self.dataOut.channelList] | |
185 | for i in self.dataOut.channelList: |
|
185 | for i in self.dataOut.channelList: | |
186 | AVG[i] = avgdB[i][::dy].tolist() |
|
186 | AVG[i] = avgdB[i][::dy].tolist() | |
187 | payload = { |
|
187 | payload = { | |
188 | 'timestamp': self.dataOut.utctime, |
|
188 | 'timestamp': self.dataOut.utctime, | |
189 | 'data': roundFloats(AVG), |
|
189 | 'data': roundFloats(AVG), | |
190 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
190 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
191 | 'interval': self.dataOut.getTimeInterval(), |
|
191 | 'interval': self.dataOut.getTimeInterval(), | |
192 | 'type': self.plottype, |
|
192 | 'type': self.plottype, | |
193 | 'yData': yData |
|
193 | 'yData': yData | |
194 | } |
|
194 | } | |
195 | elif self.plottype == 'noise': |
|
195 | elif self.plottype == 'noise': | |
196 | noise = self.dataOut.getNoise()/self.dataOut.normFactor |
|
196 | noise = self.dataOut.getNoise()/self.dataOut.normFactor | |
197 | noisedB = 10*numpy.log10(noise) |
|
197 | noisedB = 10*numpy.log10(noise) | |
198 | payload = { |
|
198 | payload = { | |
199 | 'timestamp': self.dataOut.utctime, |
|
199 | 'timestamp': self.dataOut.utctime, | |
200 | 'data': roundFloats(noisedB.reshape(-1, 1).tolist()), |
|
200 | 'data': roundFloats(noisedB.reshape(-1, 1).tolist()), | |
201 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
201 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
202 | 'interval': self.dataOut.getTimeInterval(), |
|
202 | 'interval': self.dataOut.getTimeInterval(), | |
203 | 'type': self.plottype, |
|
203 | 'type': self.plottype, | |
204 | 'yData': yData |
|
204 | 'yData': yData | |
205 | } |
|
205 | } | |
206 | elif self.plottype == 'snr': |
|
206 | elif self.plottype == 'snr': | |
207 | data = getattr(self.dataOut, 'data_SNR') |
|
207 | data = getattr(self.dataOut, 'data_SNR') | |
208 | avgdB = 10*numpy.log10(data) |
|
208 | avgdB = 10*numpy.log10(data) | |
209 |
|
209 | |||
210 | ylen = data[0].size |
|
210 | ylen = data[0].size | |
211 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 |
|
211 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 | |
212 | AVG = [0 for i in self.dataOut.channelList] |
|
212 | AVG = [0 for i in self.dataOut.channelList] | |
213 | for i in self.dataOut.channelList: |
|
213 | for i in self.dataOut.channelList: | |
214 | AVG[i] = avgdB[i][::dy].tolist() |
|
214 | AVG[i] = avgdB[i][::dy].tolist() | |
215 | payload = { |
|
215 | payload = { | |
216 | 'timestamp': self.dataOut.utctime, |
|
216 | 'timestamp': self.dataOut.utctime, | |
217 | 'data': roundFloats(AVG), |
|
217 | 'data': roundFloats(AVG), | |
218 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
218 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
219 | 'type': self.plottype, |
|
219 | 'type': self.plottype, | |
220 | 'yData': yData |
|
220 | 'yData': yData | |
221 | } |
|
221 | } | |
222 | else: |
|
222 | else: | |
223 | print "Tipo de grafico invalido" |
|
223 | print "Tipo de grafico invalido" | |
224 | payload = { |
|
224 | payload = { | |
225 | 'data': 'None', |
|
225 | 'data': 'None', | |
226 | 'timestamp': 'None', |
|
226 | 'timestamp': 'None', | |
227 | 'type': None |
|
227 | 'type': None | |
228 | } |
|
228 | } | |
229 | # print 'Publishing data to {}'.format(self.host) |
|
229 | # print 'Publishing data to {}'.format(self.host) | |
230 | self.client.publish(self.topic + self.plottype, json.dumps(payload), qos=0) |
|
230 | self.client.publish(self.topic + self.plottype, json.dumps(payload), qos=0) | |
231 |
|
231 | |||
232 | if self.zeromq is 1: |
|
232 | if self.zeromq is 1: | |
233 | print '[Sending] {} - {}'.format(self.dataOut.type, self.dataOut.datatime) |
|
233 | print '[Sending] {} - {}'.format(self.dataOut.type, self.dataOut.datatime) | |
234 | self.zmq_socket.send_pyobj(self.dataOut) |
|
234 | self.zmq_socket.send_pyobj(self.dataOut) | |
235 |
|
235 | |||
236 | def run(self, dataOut, **kwargs): |
|
236 | def run(self, dataOut, **kwargs): | |
237 | self.dataOut = dataOut |
|
237 | self.dataOut = dataOut | |
238 | if not self.isConfig: |
|
238 | if not self.isConfig: | |
239 | self.setup(**kwargs) |
|
239 | self.setup(**kwargs) | |
240 | self.isConfig = True |
|
240 | self.isConfig = True | |
241 |
|
241 | |||
242 | self.publish_data() |
|
242 | self.publish_data() | |
243 | time.sleep(self.delay) |
|
243 | time.sleep(self.delay) | |
244 |
|
244 | |||
245 | def close(self): |
|
245 | def close(self): | |
246 | if self.zeromq is 1: |
|
246 | if self.zeromq is 1: | |
247 | self.dataOut.finished = True |
|
247 | self.dataOut.finished = True | |
248 | self.zmq_socket.send_pyobj(self.dataOut) |
|
248 | self.zmq_socket.send_pyobj(self.dataOut) | |
249 |
|
249 | |||
250 | if self.client: |
|
250 | if self.client: | |
251 | self.client.loop_stop() |
|
251 | self.client.loop_stop() | |
252 | self.client.disconnect() |
|
252 | self.client.disconnect() | |
253 |
|
253 | |||
254 |
|
254 | |||
255 | class ReceiverData(ProcessingUnit, Process): |
|
255 | class ReceiverData(ProcessingUnit, Process): | |
256 |
|
256 | |||
257 | throttle_value = 5 |
|
257 | throttle_value = 5 | |
258 |
|
258 | |||
259 | def __init__(self, **kwargs): |
|
259 | def __init__(self, **kwargs): | |
260 |
|
260 | |||
261 | ProcessingUnit.__init__(self, **kwargs) |
|
261 | ProcessingUnit.__init__(self, **kwargs) | |
262 | Process.__init__(self) |
|
262 | Process.__init__(self) | |
263 | self.mp = False |
|
263 | self.mp = False | |
264 | self.isConfig = False |
|
264 | self.isConfig = False | |
265 | self.isWebConfig = False |
|
265 | self.isWebConfig = False | |
266 | self.plottypes =[] |
|
266 | self.plottypes =[] | |
267 | self.connections = 0 |
|
267 | self.connections = 0 | |
268 | server = kwargs.get('server', 'zmq.pipe') |
|
268 | server = kwargs.get('server', 'zmq.pipe') | |
269 | plot_server = kwargs.get('plot_server', 'zmq.web') |
|
269 | plot_server = kwargs.get('plot_server', 'zmq.web') | |
270 | if 'tcp://' in server: |
|
270 | if 'tcp://' in server: | |
271 | address = server |
|
271 | address = server | |
272 | else: |
|
272 | else: | |
273 | address = 'ipc:///tmp/%s' % server |
|
273 | address = 'ipc:///tmp/%s' % server | |
274 |
|
274 | |||
275 | if 'tcp://' in plot_server: |
|
275 | if 'tcp://' in plot_server: | |
276 | plot_address = plot_server |
|
276 | plot_address = plot_server | |
277 | else: |
|
277 | else: | |
278 | plot_address = 'ipc:///tmp/%s' % plot_server |
|
278 | plot_address = 'ipc:///tmp/%s' % plot_server | |
279 |
|
279 | |||
280 | self.address = address |
|
280 | self.address = address | |
281 | self.plot_address = plot_address |
|
281 | self.plot_address = plot_address | |
282 | self.plottypes = [s.strip() for s in kwargs.get('plottypes', 'rti').split(',')] |
|
282 | self.plottypes = [s.strip() for s in kwargs.get('plottypes', 'rti').split(',')] | |
283 | self.realtime = kwargs.get('realtime', False) |
|
283 | self.realtime = kwargs.get('realtime', False) | |
284 | self.throttle_value = kwargs.get('throttle', 10) |
|
284 | self.throttle_value = kwargs.get('throttle', 10) | |
285 | self.sendData = self.initThrottle(self.throttle_value) |
|
285 | self.sendData = self.initThrottle(self.throttle_value) | |
286 | self.setup() |
|
286 | self.setup() | |
287 |
|
287 | |||
288 | def setup(self): |
|
288 | def setup(self): | |
289 |
|
289 | |||
290 | self.data = {} |
|
290 | self.data = {} | |
291 | self.data['times'] = [] |
|
291 | self.data['times'] = [] | |
292 | for plottype in self.plottypes: |
|
292 | for plottype in self.plottypes: | |
293 | self.data[plottype] = {} |
|
293 | self.data[plottype] = {} | |
294 | self.data['noise'] = {} |
|
294 | self.data['noise'] = {} | |
295 | self.data['throttle'] = self.throttle_value |
|
295 | self.data['throttle'] = self.throttle_value | |
296 | self.data['ENDED'] = False |
|
296 | self.data['ENDED'] = False | |
297 | self.isConfig = True |
|
297 | self.isConfig = True | |
298 | self.data_web = {} |
|
298 | self.data_web = {} | |
299 |
|
299 | |||
300 | def event_monitor(self, monitor): |
|
300 | def event_monitor(self, monitor): | |
301 |
|
301 | |||
302 | events = {} |
|
302 | events = {} | |
303 |
|
303 | |||
304 | for name in dir(zmq): |
|
304 | for name in dir(zmq): | |
305 | if name.startswith('EVENT_'): |
|
305 | if name.startswith('EVENT_'): | |
306 | value = getattr(zmq, name) |
|
306 | value = getattr(zmq, name) | |
307 | events[value] = name |
|
307 | events[value] = name | |
308 |
|
308 | |||
309 | while monitor.poll(): |
|
309 | while monitor.poll(): | |
310 | evt = recv_monitor_message(monitor) |
|
310 | evt = recv_monitor_message(monitor) | |
311 | if evt['event'] == 32: |
|
311 | if evt['event'] == 32: | |
312 | self.connections += 1 |
|
312 | self.connections += 1 | |
313 | if evt['event'] == 512: |
|
313 | if evt['event'] == 512: | |
314 | pass |
|
314 | pass | |
315 | if self.connections == 0 and self.started is True: |
|
315 | if self.connections == 0 and self.started is True: | |
316 | self.ended = True |
|
316 | self.ended = True | |
317 | # send('ENDED') |
|
317 | # send('ENDED') | |
318 | evt.update({'description': events[evt['event']]}) |
|
318 | evt.update({'description': events[evt['event']]}) | |
319 |
|
319 | |||
320 | if evt['event'] == zmq.EVENT_MONITOR_STOPPED: |
|
320 | if evt['event'] == zmq.EVENT_MONITOR_STOPPED: | |
321 | break |
|
321 | break | |
322 | monitor.close() |
|
322 | monitor.close() | |
323 | print("event monitor thread done!") |
|
323 | print("event monitor thread done!") | |
324 |
|
324 | |||
325 | def initThrottle(self, throttle_value): |
|
325 | def initThrottle(self, throttle_value): | |
326 |
|
326 | |||
327 | @throttle(seconds=throttle_value) |
|
327 | @throttle(seconds=throttle_value) | |
328 | def sendDataThrottled(fn_sender, data): |
|
328 | def sendDataThrottled(fn_sender, data): | |
329 | fn_sender(data) |
|
329 | fn_sender(data) | |
330 |
|
330 | |||
331 | return sendDataThrottled |
|
331 | return sendDataThrottled | |
332 |
|
332 | |||
333 | def send(self, data): |
|
333 | def send(self, data): | |
334 | # print '[sending] data=%s size=%s' % (data.keys(), len(data['times'])) |
|
334 | # print '[sending] data=%s size=%s' % (data.keys(), len(data['times'])) | |
335 | self.sender.send_pyobj(data) |
|
335 | self.sender.send_pyobj(data) | |
336 |
|
336 | |||
337 | def update(self): |
|
337 | def update(self): | |
338 |
|
338 | |||
339 | t = self.dataOut.ltctime |
|
339 | t = self.dataOut.ltctime | |
340 | self.data['times'].append(t) |
|
340 | self.data['times'].append(t) | |
341 | self.data['dataOut'] = self.dataOut |
|
341 | self.data['dataOut'] = self.dataOut | |
342 | for plottype in self.plottypes: |
|
342 | for plottype in self.plottypes: | |
343 | if plottype == 'spc': |
|
343 | if plottype == 'spc': | |
344 | z = self.dataOut.data_spc/self.dataOut.normFactor |
|
344 | z = self.dataOut.data_spc/self.dataOut.normFactor | |
345 | self.data[plottype] = 10*numpy.log10(z) |
|
345 | self.data[plottype] = 10*numpy.log10(z) | |
346 | self.data['noise'][t] = 10*numpy.log10(self.dataOut.getNoise()/self.dataOut.normFactor) |
|
346 | self.data['noise'][t] = 10*numpy.log10(self.dataOut.getNoise()/self.dataOut.normFactor) | |
347 | if plottype == 'rti': |
|
347 | if plottype == 'rti': | |
348 | self.data[plottype][t] = self.dataOut.getPower() |
|
348 | self.data[plottype][t] = self.dataOut.getPower() | |
349 | if plottype == 'snr': |
|
349 | if plottype == 'snr': | |
350 | self.data[plottype][t] = 10*numpy.log10(self.dataOut.data_SNR) |
|
350 | self.data[plottype][t] = 10*numpy.log10(self.dataOut.data_SNR) | |
351 | if plottype == 'dop': |
|
351 | if plottype == 'dop': | |
352 | self.data[plottype][t] = 10*numpy.log10(self.dataOut.data_DOP) |
|
352 | self.data[plottype][t] = 10*numpy.log10(self.dataOut.data_DOP) | |
353 | if plottype == 'coh': |
|
353 | if plottype == 'coh': | |
354 | self.data[plottype][t] = self.dataOut.getCoherence() |
|
354 | self.data[plottype][t] = self.dataOut.getCoherence() | |
355 | if plottype == 'phase': |
|
355 | if plottype == 'phase': | |
356 | self.data[plottype][t] = self.dataOut.getCoherence(phase=True) |
|
356 | self.data[plottype][t] = self.dataOut.getCoherence(phase=True) | |
357 | if self.realtime: |
|
357 | if self.realtime: | |
|
358 | if plottype == 'spc': | |||
|
359 | self.data_web[plottype] = roundFloats(decimate(self.data[plottype]).tolist()) | |||
|
360 | else: | |||
358 | self.data_web[plottype] = roundFloats(decimate(self.data[plottype][t]).tolist()) |
|
361 | self.data_web[plottype] = roundFloats(decimate(self.data[plottype][t]).tolist()) | |
359 | self.data_web['time'] = t |
|
362 | self.data_web['time'] = t | |
|
363 | ||||
360 | def run(self): |
|
364 | def run(self): | |
361 |
|
365 | |||
362 | print '[Starting] {} from {}'.format(self.name, self.address) |
|
366 | print '[Starting] {} from {}'.format(self.name, self.address) | |
363 |
|
367 | |||
364 | self.context = zmq.Context() |
|
368 | self.context = zmq.Context() | |
365 | self.receiver = self.context.socket(zmq.PULL) |
|
369 | self.receiver = self.context.socket(zmq.PULL) | |
366 | self.receiver.bind(self.address) |
|
370 | self.receiver.bind(self.address) | |
367 | monitor = self.receiver.get_monitor_socket() |
|
371 | monitor = self.receiver.get_monitor_socket() | |
368 | self.sender = self.context.socket(zmq.PUB) |
|
372 | self.sender = self.context.socket(zmq.PUB) | |
369 |
if self.realtime: |
|
373 | if self.realtime: | |
370 |
self.sender_web = self.context.socket(zmq.PUB) |
|
374 | self.sender_web = self.context.socket(zmq.PUB) | |
371 | self.sender_web.bind(self.plot_address) |
|
375 | self.sender_web.bind(self.plot_address) | |
372 | self.sender.bind("ipc:///tmp/zmq.plots") |
|
376 | self.sender.bind("ipc:///tmp/zmq.plots") | |
373 |
|
377 | |||
374 | t = Thread(target=self.event_monitor, args=(monitor,)) |
|
378 | t = Thread(target=self.event_monitor, args=(monitor,)) | |
375 | t.start() |
|
379 | t.start() | |
376 |
|
380 | |||
377 | while True: |
|
381 | while True: | |
378 | self.dataOut = self.receiver.recv_pyobj() |
|
382 | self.dataOut = self.receiver.recv_pyobj() | |
379 | # print '[Receiving] {} - {}'.format(self.dataOut.type, |
|
383 | # print '[Receiving] {} - {}'.format(self.dataOut.type, | |
380 | # self.dataOut.datatime.ctime()) |
|
384 | # self.dataOut.datatime.ctime()) | |
381 |
|
385 | |||
382 | self.update() |
|
386 | self.update() | |
383 |
|
387 | |||
384 | if self.dataOut.finished is True: |
|
388 | if self.dataOut.finished is True: | |
385 | self.send(self.data) |
|
389 | self.send(self.data) | |
386 | self.connections -= 1 |
|
390 | self.connections -= 1 | |
387 | if self.connections == 0 and self.started: |
|
391 | if self.connections == 0 and self.started: | |
388 | self.ended = True |
|
392 | self.ended = True | |
389 | self.data['ENDED'] = True |
|
393 | self.data['ENDED'] = True | |
390 | self.send(self.data) |
|
394 | self.send(self.data) | |
391 | self.setup() |
|
395 | self.setup() | |
392 | else: |
|
396 | else: | |
393 | if self.realtime: |
|
397 | if self.realtime: | |
394 | self.send(self.data) |
|
398 | self.send(self.data) | |
395 | self.sender_web.send_string(json.dumps(self.data_web)) |
|
399 | self.sender_web.send_string(json.dumps(self.data_web)) | |
396 | else: |
|
400 | else: | |
397 | self.sendData(self.send, self.data) |
|
401 | self.sendData(self.send, self.data) | |
398 | self.started = True |
|
402 | self.started = True | |
399 |
|
403 | |||
400 | return |
|
404 | return | |
401 |
|
405 | |||
402 | def sendToWeb(self): |
|
406 | def sendToWeb(self): | |
403 |
|
407 | |||
404 | if not self.isWebConfig: |
|
408 | if not self.isWebConfig: | |
405 | context = zmq.Context() |
|
409 | context = zmq.Context() | |
406 | sender_web_config = context.socket(zmq.PUB) |
|
410 | sender_web_config = context.socket(zmq.PUB) | |
407 | if 'tcp://' in self.plot_address: |
|
411 | if 'tcp://' in self.plot_address: | |
408 | print self.plot_address |
|
|||
409 | dum, address, port = self.plot_address.split(':') |
|
412 | dum, address, port = self.plot_address.split(':') | |
410 | conf_address = '{}:{}:{}'.format(dum, address, int(port)+1) |
|
413 | conf_address = '{}:{}:{}'.format(dum, address, int(port)+1) | |
411 | else: |
|
414 | else: | |
412 | conf_address = self.plot_address + '.config' |
|
415 | conf_address = self.plot_address + '.config' | |
413 |
sender_web_config.bind(conf_address) |
|
416 | sender_web_config.bind(conf_address) | |
414 |
|
417 | time.sleep(1) | ||
415 | for kwargs in self.operationKwargs.values(): |
|
418 | for kwargs in self.operationKwargs.values(): | |
416 | if 'plot' in kwargs: |
|
419 | if 'plot' in kwargs: | |
|
420 | print '[Sending] Config data to web for {}'.format(kwargs['code'].upper()) | |||
417 | sender_web_config.send_string(json.dumps(kwargs)) |
|
421 | sender_web_config.send_string(json.dumps(kwargs)) | |
418 | print kwargs |
|
|||
419 | self.isWebConfig = True |
|
422 | self.isWebConfig = True | |
420 |
|
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