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1 | 1 | |
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2 | 2 | import os |
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3 | 3 | import time |
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4 | 4 | import glob |
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5 | 5 | import datetime |
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6 | 6 | from multiprocessing import Process |
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7 | 7 | |
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8 | 8 | import zmq |
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9 | 9 | import numpy |
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10 | 10 | import matplotlib |
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11 | 11 | import matplotlib.pyplot as plt |
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12 | 12 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
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13 | 13 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator |
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14 | 14 | |
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15 | 15 | from schainpy.model.proc.jroproc_base import Operation |
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16 | 16 | from schainpy.utils import log |
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17 | 17 | |
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18 | 18 | jet_values = matplotlib.pyplot.get_cmap('jet', 100)(numpy.arange(100))[10:90] |
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19 | 19 | blu_values = matplotlib.pyplot.get_cmap( |
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20 | 20 | 'seismic_r', 20)(numpy.arange(20))[10:15] |
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21 | 21 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list( |
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22 | 22 | 'jro', numpy.vstack((blu_values, jet_values))) |
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23 | 23 | matplotlib.pyplot.register_cmap(cmap=ncmap) |
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24 | 24 | |
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25 | 25 | CMAPS = [plt.get_cmap(s) for s in ('jro', 'jet', 'RdBu_r', 'seismic')] |
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26 | 26 | |
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27 | 27 | def figpause(interval): |
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28 | 28 | backend = plt.rcParams['backend'] |
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29 | 29 | if backend in matplotlib.rcsetup.interactive_bk: |
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30 | 30 | figManager = matplotlib._pylab_helpers.Gcf.get_active() |
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31 | 31 | if figManager is not None: |
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32 | 32 | canvas = figManager.canvas |
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33 | 33 | if canvas.figure.stale: |
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34 | 34 | canvas.draw() |
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35 | 35 | canvas.start_event_loop(interval) |
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36 | 36 | return |
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37 | 37 | |
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38 | 38 | class PlotData(Operation, Process): |
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39 | 39 | ''' |
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40 | 40 | Base class for Schain plotting operations |
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41 | 41 | ''' |
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42 | 42 | |
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43 | 43 | CODE = 'Figure' |
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44 | 44 | colormap = 'jro' |
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45 | 45 | bgcolor = 'white' |
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46 | 46 | CONFLATE = False |
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47 | 47 | __MAXNUMX = 80 |
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48 | 48 | __missing = 1E30 |
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49 | 49 | |
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50 | __attrs__ = ['show', 'save', 'xmin', 'xmax', 'ymin', 'ymax', 'zmin', 'zmax', | |
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51 | 'zlimits', 'xlabel', 'ylabel', 'cb_label', 'title', 'titles', 'colorbar', | |
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52 | 'bgcolor', 'width', 'height', 'localtime', 'oneFigure', 'showprofile'] | |
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53 | ||
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50 | 54 | def __init__(self, **kwargs): |
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51 | 55 | |
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52 | 56 | Operation.__init__(self, plot=True, **kwargs) |
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53 | 57 | Process.__init__(self) |
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54 | 58 | self.kwargs['code'] = self.CODE |
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55 | 59 | self.mp = False |
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56 | 60 | self.data = None |
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57 | 61 | self.isConfig = False |
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58 | 62 | self.figures = [] |
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59 | 63 | self.axes = [] |
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60 | 64 | self.cb_axes = [] |
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61 | 65 | self.localtime = kwargs.pop('localtime', True) |
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62 | 66 | self.show = kwargs.get('show', True) |
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63 | 67 | self.save = kwargs.get('save', False) |
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64 | 68 | self.colormap = kwargs.get('colormap', self.colormap) |
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65 | 69 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') |
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66 | 70 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') |
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67 | 71 | self.colormaps = kwargs.get('colormaps', None) |
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68 | 72 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) |
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69 | 73 | self.showprofile = kwargs.get('showprofile', False) |
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70 | 74 | self.title = kwargs.get('wintitle', self.CODE.upper()) |
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71 | 75 | self.cb_label = kwargs.get('cb_label', None) |
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72 | 76 | self.cb_labels = kwargs.get('cb_labels', None) |
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73 | 77 | self.xaxis = kwargs.get('xaxis', 'frequency') |
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74 | 78 | self.zmin = kwargs.get('zmin', None) |
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75 | 79 | self.zmax = kwargs.get('zmax', None) |
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76 | 80 | self.zlimits = kwargs.get('zlimits', None) |
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77 | 81 | self.xmin = kwargs.get('xmin', None) |
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78 | 82 | self.xmax = kwargs.get('xmax', None) |
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79 | 83 | self.xrange = kwargs.get('xrange', 24) |
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80 | 84 | self.ymin = kwargs.get('ymin', None) |
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81 | 85 | self.ymax = kwargs.get('ymax', None) |
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82 | 86 | self.xlabel = kwargs.get('xlabel', None) |
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83 | 87 | self.__MAXNUMY = kwargs.get('decimation', 100) |
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84 | 88 | self.showSNR = kwargs.get('showSNR', False) |
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85 | 89 | self.oneFigure = kwargs.get('oneFigure', True) |
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86 | 90 | self.width = kwargs.get('width', None) |
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87 | 91 | self.height = kwargs.get('height', None) |
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88 | 92 | self.colorbar = kwargs.get('colorbar', True) |
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89 | 93 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) |
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90 | 94 | self.titles = ['' for __ in range(16)] |
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91 | 95 | self.polar = False |
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92 | 96 | |
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93 | 97 | def __fmtTime(self, x, pos): |
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94 | 98 | ''' |
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95 | 99 | ''' |
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96 | 100 | |
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97 | 101 | return '{}'.format(self.getDateTime(x).strftime('%H:%M')) |
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98 | 102 | |
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99 | 103 | def __setup(self): |
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100 | 104 | ''' |
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101 | 105 | Common setup for all figures, here figures and axes are created |
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102 | 106 | ''' |
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103 | 107 | |
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104 | 108 | if self.CODE not in self.data: |
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105 | 109 | raise ValueError(log.error('Missing data for {}'.format(self.CODE), |
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106 | 110 | self.name)) |
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107 | 111 | |
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108 | 112 | self.setup() |
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109 | 113 | |
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110 | 114 | self.time_label = 'LT' if self.localtime else 'UTC' |
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111 | 115 | if self.data.localtime: |
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112 | 116 | self.getDateTime = datetime.datetime.fromtimestamp |
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113 | 117 | else: |
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114 | 118 | self.getDateTime = datetime.datetime.utcfromtimestamp |
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115 | 119 | |
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116 | 120 | if self.width is None: |
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117 | 121 | self.width = 8 |
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118 | 122 | |
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119 | 123 | self.figures = [] |
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120 | 124 | self.axes = [] |
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121 | 125 | self.cb_axes = [] |
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122 | 126 | self.pf_axes = [] |
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123 | 127 | self.cmaps = [] |
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124 | 128 | |
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125 | 129 | size = '15%' if self.ncols == 1 else '30%' |
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126 | 130 | pad = '4%' if self.ncols == 1 else '8%' |
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127 | 131 | |
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128 | 132 | if self.oneFigure: |
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129 | 133 | if self.height is None: |
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130 | 134 | self.height = 1.4 * self.nrows + 1 |
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131 | 135 | fig = plt.figure(figsize=(self.width, self.height), |
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132 | 136 | edgecolor='k', |
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133 | 137 | facecolor='w') |
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134 | 138 | self.figures.append(fig) |
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135 | 139 | for n in range(self.nplots): |
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136 | 140 | ax = fig.add_subplot(self.nrows, self.ncols, n + 1, polar=self.polar) |
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137 | 141 | ax.tick_params(labelsize=8) |
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138 | 142 | ax.firsttime = True |
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139 | 143 | ax.index = 0 |
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140 | 144 | ax.press = None |
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141 | 145 | self.axes.append(ax) |
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142 | 146 | if self.showprofile: |
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143 | 147 | cax = self.__add_axes(ax, size=size, pad=pad) |
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144 | 148 | cax.tick_params(labelsize=8) |
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145 | 149 | self.pf_axes.append(cax) |
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146 | 150 | else: |
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147 | 151 | if self.height is None: |
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148 | 152 | self.height = 3 |
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149 | 153 | for n in range(self.nplots): |
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150 | 154 | fig = plt.figure(figsize=(self.width, self.height), |
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151 | 155 | edgecolor='k', |
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152 | 156 | facecolor='w') |
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153 | 157 | ax = fig.add_subplot(1, 1, 1, polar=self.polar) |
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154 | 158 | ax.tick_params(labelsize=8) |
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155 | 159 | ax.firsttime = True |
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156 | 160 | ax.index = 0 |
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157 | 161 | ax.press = None |
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158 | 162 | self.figures.append(fig) |
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159 | 163 | self.axes.append(ax) |
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160 | 164 | if self.showprofile: |
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161 | 165 | cax = self.__add_axes(ax, size=size, pad=pad) |
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162 | 166 | cax.tick_params(labelsize=8) |
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163 | 167 | self.pf_axes.append(cax) |
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164 | 168 | |
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165 | 169 | for n in range(self.nrows): |
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166 | 170 | if self.colormaps is not None: |
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167 | 171 | cmap = plt.get_cmap(self.colormaps[n]) |
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168 | 172 | else: |
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169 | 173 | cmap = plt.get_cmap(self.colormap) |
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170 | 174 | cmap.set_bad(self.bgcolor, 1.) |
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171 | 175 | self.cmaps.append(cmap) |
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172 | 176 | |
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173 | 177 | for fig in self.figures: |
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174 | 178 | fig.canvas.mpl_connect('key_press_event', self.OnKeyPress) |
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175 | 179 | fig.canvas.mpl_connect('scroll_event', self.OnBtnScroll) |
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176 | 180 | fig.canvas.mpl_connect('button_press_event', self.onBtnPress) |
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177 | 181 | fig.canvas.mpl_connect('motion_notify_event', self.onMotion) |
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178 | 182 | fig.canvas.mpl_connect('button_release_event', self.onBtnRelease) |
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179 | 183 | if self.show: |
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180 | 184 | fig.show() |
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181 | 185 | |
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182 | 186 | def OnKeyPress(self, event): |
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183 | 187 | ''' |
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184 | 188 | Event for pressing keys (up, down) change colormap |
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185 | 189 | ''' |
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186 | 190 | ax = event.inaxes |
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187 | 191 | if ax in self.axes: |
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188 | 192 | if event.key == 'down': |
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189 | 193 | ax.index += 1 |
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190 | 194 | elif event.key == 'up': |
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191 | 195 | ax.index -= 1 |
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192 | 196 | if ax.index < 0: |
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193 | 197 | ax.index = len(CMAPS) - 1 |
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194 | 198 | elif ax.index == len(CMAPS): |
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195 | 199 | ax.index = 0 |
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196 | 200 | cmap = CMAPS[ax.index] |
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197 | 201 | ax.cbar.set_cmap(cmap) |
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198 | 202 | ax.cbar.draw_all() |
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199 | 203 | ax.plt.set_cmap(cmap) |
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200 | 204 | ax.cbar.patch.figure.canvas.draw() |
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201 | 205 | self.colormap = cmap.name |
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202 | 206 | |
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203 | 207 | def OnBtnScroll(self, event): |
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204 | 208 | ''' |
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205 | 209 | Event for scrolling, scale figure |
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206 | 210 | ''' |
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207 | 211 | cb_ax = event.inaxes |
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208 | 212 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
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209 | 213 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] |
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210 | 214 | pt = ax.cbar.ax.bbox.get_points()[:,1] |
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211 | 215 | nrm = ax.cbar.norm |
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212 | 216 | vmin, vmax, p0, p1, pS = (nrm.vmin, nrm.vmax, pt[0], pt[1], event.y) |
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213 | 217 | scale = 2 if event.step == 1 else 0.5 |
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214 | 218 | point = vmin + (vmax - vmin) / (p1 - p0)*(pS - p0) |
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215 | 219 | ax.cbar.norm.vmin = point - scale*(point - vmin) |
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216 | 220 | ax.cbar.norm.vmax = point - scale*(point - vmax) |
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217 | 221 | ax.plt.set_norm(ax.cbar.norm) |
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218 | 222 | ax.cbar.draw_all() |
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219 | 223 | ax.cbar.patch.figure.canvas.draw() |
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220 | 224 | |
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221 | 225 | def onBtnPress(self, event): |
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222 | 226 | ''' |
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223 | 227 | Event for mouse button press |
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224 | 228 | ''' |
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225 | 229 | cb_ax = event.inaxes |
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226 | 230 | if cb_ax is None: |
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227 | 231 | return |
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228 | 232 | |
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229 | 233 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
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230 | 234 | cb_ax.press = event.x, event.y |
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231 | 235 | else: |
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232 | 236 | cb_ax.press = None |
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233 | 237 | |
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234 | 238 | def onMotion(self, event): |
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235 | 239 | ''' |
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236 | 240 | Event for move inside colorbar |
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237 | 241 | ''' |
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238 | 242 | cb_ax = event.inaxes |
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239 | 243 | if cb_ax is None: |
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240 | 244 | return |
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241 | 245 | if cb_ax not in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
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242 | 246 | return |
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243 | 247 | if cb_ax.press is None: |
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244 | 248 | return |
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245 | 249 | |
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246 | 250 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] |
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247 | 251 | xprev, yprev = cb_ax.press |
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248 | 252 | dx = event.x - xprev |
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249 | 253 | dy = event.y - yprev |
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250 | 254 | cb_ax.press = event.x, event.y |
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251 | 255 | scale = ax.cbar.norm.vmax - ax.cbar.norm.vmin |
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252 | 256 | perc = 0.03 |
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253 | 257 | |
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254 | 258 | if event.button == 1: |
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255 | 259 | ax.cbar.norm.vmin -= (perc*scale)*numpy.sign(dy) |
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256 | 260 | ax.cbar.norm.vmax -= (perc*scale)*numpy.sign(dy) |
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257 | 261 | elif event.button == 3: |
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258 | 262 | ax.cbar.norm.vmin -= (perc*scale)*numpy.sign(dy) |
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259 | 263 | ax.cbar.norm.vmax += (perc*scale)*numpy.sign(dy) |
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260 | 264 | |
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261 | 265 | ax.cbar.draw_all() |
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262 | 266 | ax.plt.set_norm(ax.cbar.norm) |
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263 | 267 | ax.cbar.patch.figure.canvas.draw() |
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264 | 268 | |
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265 | 269 | def onBtnRelease(self, event): |
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266 | 270 | ''' |
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267 | 271 | Event for mouse button release |
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268 | 272 | ''' |
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269 | 273 | cb_ax = event.inaxes |
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270 | 274 | if cb_ax is not None: |
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271 | 275 | cb_ax.press = None |
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272 | 276 | |
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273 | 277 | def __add_axes(self, ax, size='30%', pad='8%'): |
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274 | 278 | ''' |
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275 | 279 | Add new axes to the given figure |
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276 | 280 | ''' |
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277 | 281 | divider = make_axes_locatable(ax) |
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278 | 282 | nax = divider.new_horizontal(size=size, pad=pad) |
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279 | 283 | ax.figure.add_axes(nax) |
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280 | 284 | return nax |
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281 | 285 | |
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282 | 286 | self.setup() |
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283 | 287 | |
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284 | 288 | def setup(self): |
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285 | 289 | ''' |
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286 | 290 | This method should be implemented in the child class, the following |
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287 | 291 | attributes should be set: |
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288 | 292 | |
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289 | 293 | self.nrows: number of rows |
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290 | 294 | self.ncols: number of cols |
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291 | 295 | self.nplots: number of plots (channels or pairs) |
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292 | 296 | self.ylabel: label for Y axes |
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293 | 297 | self.titles: list of axes title |
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294 | 298 | |
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295 | 299 | ''' |
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296 | 300 | raise(NotImplementedError, 'Implement this method in child class') |
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297 | 301 | |
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298 | 302 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
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299 | 303 | ''' |
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300 | 304 | Create a masked array for missing data |
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301 | 305 | ''' |
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302 | 306 | if x_buffer.shape[0] < 2: |
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303 | 307 | return x_buffer, y_buffer, z_buffer |
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304 | 308 | |
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305 | 309 | deltas = x_buffer[1:] - x_buffer[0:-1] |
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306 | 310 | x_median = numpy.median(deltas) |
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307 | 311 | |
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308 | 312 | index = numpy.where(deltas > 5 * x_median) |
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309 | 313 | |
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310 | 314 | if len(index[0]) != 0: |
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311 | 315 | z_buffer[::, index[0], ::] = self.__missing |
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312 | 316 | z_buffer = numpy.ma.masked_inside(z_buffer, |
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313 | 317 | 0.99 * self.__missing, |
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314 | 318 | 1.01 * self.__missing) |
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315 | 319 | |
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316 | 320 | return x_buffer, y_buffer, z_buffer |
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317 | 321 | |
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318 | 322 | def decimate(self): |
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319 | 323 | |
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320 | 324 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
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321 | 325 | dy = int(len(self.y) / self.__MAXNUMY) + 1 |
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322 | 326 | |
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323 | 327 | # x = self.x[::dx] |
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324 | 328 | x = self.x |
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325 | 329 | y = self.y[::dy] |
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326 | 330 | z = self.z[::, ::, ::dy] |
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327 | 331 | |
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328 | 332 | return x, y, z |
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329 | 333 | |
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330 | 334 | def format(self): |
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331 | 335 | ''' |
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332 | 336 | Set min and max values, labels, ticks and titles |
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333 | 337 | ''' |
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334 | 338 | |
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335 | 339 | if self.xmin is None: |
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336 | 340 | xmin = self.min_time |
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337 | 341 | else: |
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338 | 342 | if self.xaxis is 'time': |
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339 | 343 | dt = self.getDateTime(self.min_time) |
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340 | 344 | xmin = (dt.replace(hour=int(self.xmin), minute=0, second=0) - datetime.datetime(1970, 1, 1)).total_seconds() |
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341 | 345 | if self.data.localtime: |
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342 | 346 | xmin += time.timezone |
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343 | 347 | else: |
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344 | 348 | xmin = self.xmin |
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345 | 349 | |
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346 | 350 | if self.xmax is None: |
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347 | 351 | xmax = xmin + self.xrange * 60 * 60 |
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348 | 352 | else: |
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349 | 353 | if self.xaxis is 'time': |
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350 | 354 | dt = self.getDateTime(self.max_time) |
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351 | 355 | xmax = (dt.replace(hour=int(self.xmax), minute=59, second=59) - datetime.datetime(1970, 1, 1)).total_seconds() |
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352 | 356 | if self.data.localtime: |
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353 | 357 | xmax += time.timezone |
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354 | 358 | else: |
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355 | 359 | xmax = self.xmax |
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356 | 360 | |
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357 | 361 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) |
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358 | 362 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) |
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359 | 363 | |
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360 | 364 | Y = numpy.array([10, 20, 50, 100, 200, 500, 1000, 2000]) |
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361 | 365 | i = 1 if numpy.where(ymax < Y)[0][0] < 0 else numpy.where(ymax < Y)[0][0] |
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362 | 366 | ystep = Y[i-1]/5 |
|
|
363 | 367 | |
|
|
364 | 368 | for n, ax in enumerate(self.axes): |
|
|
365 | 369 | if ax.firsttime: |
|
|
366 | 370 | ax.set_facecolor(self.bgcolor) |
|
|
367 | 371 | ax.yaxis.set_major_locator(MultipleLocator(ystep)) |
|
|
368 | 372 | if self.xaxis is 'time': |
|
|
369 | 373 | ax.xaxis.set_major_formatter(FuncFormatter(self.__fmtTime)) |
|
|
370 | 374 | ax.xaxis.set_major_locator(LinearLocator(9)) |
|
|
371 | 375 | if self.xlabel is not None: |
|
|
372 | 376 | ax.set_xlabel(self.xlabel) |
|
|
373 | 377 | ax.set_ylabel(self.ylabel) |
|
|
374 | 378 | ax.firsttime = False |
|
|
375 | 379 | if self.showprofile: |
|
|
376 | 380 | self.pf_axes[n].set_ylim(ymin, ymax) |
|
|
377 | 381 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) |
|
|
378 | 382 | self.pf_axes[n].set_xlabel('dB') |
|
|
379 | 383 | self.pf_axes[n].grid(b=True, axis='x') |
|
|
380 | 384 | [tick.set_visible(False) |
|
|
381 | 385 | for tick in self.pf_axes[n].get_yticklabels()] |
|
|
382 | 386 | if self.colorbar: |
|
|
383 |
ax.cbar = plt.colorbar(ax.plt, ax=ax, fraction=0. |
|
|
|
387 | ax.cbar = plt.colorbar(ax.plt, ax=ax, fraction=0.05, pad=0.02, aspect=10) | |
|
|
384 | 388 | ax.cbar.ax.tick_params(labelsize=8) |
|
|
385 | 389 | ax.cbar.ax.press = None |
|
|
386 | 390 | if self.cb_label: |
|
|
387 | 391 | ax.cbar.set_label(self.cb_label, size=8) |
|
|
388 | 392 | elif self.cb_labels: |
|
|
389 | 393 | ax.cbar.set_label(self.cb_labels[n], size=8) |
|
|
390 | 394 | else: |
|
|
391 | 395 | ax.cbar = None |
|
|
392 | 396 | |
|
|
393 | 397 | if not self.polar: |
|
|
394 | 398 | ax.set_xlim(xmin, xmax) |
|
|
395 | 399 | ax.set_ylim(ymin, ymax) |
|
|
396 | 400 | ax.set_title('{} - {} {}'.format( |
|
|
397 | 401 | self.titles[n], |
|
|
398 | 402 | self.getDateTime(self.max_time).strftime('%H:%M:%S'), |
|
|
399 | 403 | self.time_label), |
|
|
400 | 404 | size=8) |
|
|
401 | 405 | else: |
|
|
402 | 406 | ax.set_title('{}'.format(self.titles[n]), size=8) |
|
|
403 | 407 | ax.set_ylim(0, 90) |
|
|
404 | 408 | ax.set_yticks(numpy.arange(0, 90, 20)) |
|
|
405 | 409 | ax.yaxis.labelpad = 40 |
|
|
406 | 410 | |
|
|
407 | 411 | |
|
|
408 | 412 | def __plot(self): |
|
|
409 | 413 | ''' |
|
|
410 | 414 | ''' |
|
|
411 | 415 | log.success('Plotting', self.name) |
|
|
412 | 416 | |
|
|
413 | 417 | self.plot() |
|
|
414 | 418 | self.format() |
|
|
415 | 419 | |
|
|
416 | 420 | for n, fig in enumerate(self.figures): |
|
|
417 | 421 | if self.nrows == 0 or self.nplots == 0: |
|
|
418 | 422 | fig.text(0.5, 0.5, 'No Data', fontsize='large', ha='center') |
|
|
419 | 423 | continue |
|
|
420 | 424 | |
|
|
421 | 425 | fig.tight_layout() |
|
|
422 | 426 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, |
|
|
423 | 427 | self.getDateTime(self.max_time).strftime('%Y/%m/%d'))) |
|
|
424 | 428 | # fig.canvas.draw() |
|
|
425 | 429 | |
|
|
426 | 430 | if self.save and self.data.ended: |
|
|
427 | 431 | channels = range(self.nrows) |
|
|
428 | 432 | if self.oneFigure: |
|
|
429 | 433 | label = '' |
|
|
430 | 434 | else: |
|
|
431 | 435 | label = '_{}'.format(channels[n]) |
|
|
432 | 436 | figname = os.path.join( |
|
|
433 | 437 | self.save, |
|
|
434 | 438 | '{}{}_{}.png'.format( |
|
|
435 | 439 | self.CODE, |
|
|
436 | 440 | label, |
|
|
437 | 441 | self.getDateTime(self.saveTime).strftime('%y%m%d_%H%M%S') |
|
|
438 | 442 | ) |
|
|
439 | 443 | ) |
|
|
440 | 444 | log.log('Saving figure: {}'.format(figname), self.name) |
|
|
441 | 445 | fig.savefig(figname) |
|
|
442 | 446 | |
|
|
443 | 447 | def plot(self): |
|
|
444 | 448 | ''' |
|
|
445 | 449 | ''' |
|
|
446 | 450 | raise(NotImplementedError, 'Implement this method in child class') |
|
|
447 | 451 | |
|
|
448 | 452 | def run(self): |
|
|
449 | 453 | |
|
|
450 | 454 | log.success('Starting', self.name) |
|
|
451 | 455 | |
|
|
452 | 456 | context = zmq.Context() |
|
|
453 | 457 | receiver = context.socket(zmq.SUB) |
|
|
454 | 458 | receiver.setsockopt(zmq.SUBSCRIBE, '') |
|
|
455 | 459 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) |
|
|
456 | 460 | |
|
|
457 | 461 | if 'server' in self.kwargs['parent']: |
|
|
458 | 462 | receiver.connect( |
|
|
459 | 463 | 'ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server'])) |
|
|
460 | 464 | else: |
|
|
461 | 465 | receiver.connect("ipc:///tmp/zmq.plots") |
|
|
462 | 466 | |
|
|
463 | 467 | while True: |
|
|
464 | 468 | try: |
|
|
465 | 469 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK) |
|
|
466 | 470 | if self.data.localtime and self.localtime: |
|
|
467 | 471 | self.times = self.data.times |
|
|
468 | 472 | elif self.data.localtime and not self.localtime: |
|
|
469 | 473 | self.times = self.data.times + time.timezone |
|
|
470 | 474 | elif not self.data.localtime and self.localtime: |
|
|
471 | 475 | self.times = self.data.times - time.timezone |
|
|
472 | 476 | else: |
|
|
473 | 477 | self.times = self.data.times |
|
|
474 | 478 | |
|
|
475 | 479 | self.min_time = self.times[0] |
|
|
476 | 480 | self.max_time = self.times[-1] |
|
|
477 | 481 | |
|
|
478 | 482 | if self.isConfig is False: |
|
|
479 | 483 | self.__setup() |
|
|
480 | 484 | self.isConfig = True |
|
|
481 | 485 | |
|
|
482 | 486 | self.__plot() |
|
|
483 | 487 | |
|
|
484 | 488 | except zmq.Again as e: |
|
|
485 | 489 | log.log('Waiting for data...') |
|
|
486 | 490 | if self.data: |
|
|
487 | 491 | figpause(self.data.throttle) |
|
|
488 | 492 | else: |
|
|
489 | 493 | time.sleep(2) |
|
|
490 | 494 | |
|
|
491 | 495 | def close(self): |
|
|
492 | 496 | if self.data: |
|
|
493 | 497 | self.__plot() |
|
|
494 | 498 | |
|
|
495 | 499 | |
|
|
496 | 500 | class PlotSpectraData(PlotData): |
|
|
497 | 501 | ''' |
|
|
498 | 502 | Plot for Spectra data |
|
|
499 | 503 | ''' |
|
|
500 | 504 | |
|
|
501 | 505 | CODE = 'spc' |
|
|
502 | 506 | colormap = 'jro' |
|
|
503 | 507 | |
|
|
504 | 508 | def setup(self): |
|
|
505 | 509 | self.nplots = len(self.data.channels) |
|
|
506 | 510 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) |
|
|
507 | 511 | self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) |
|
|
508 | 512 | self.width = 3.4 * self.ncols |
|
|
509 | 513 | self.height = 3 * self.nrows |
|
|
510 | 514 | self.cb_label = 'dB' |
|
|
511 | 515 | if self.showprofile: |
|
|
512 | 516 | self.width += 0.8 * self.ncols |
|
|
513 | 517 | |
|
|
514 | 518 | self.ylabel = 'Range [Km]' |
|
|
515 | 519 | |
|
|
516 | 520 | def plot(self): |
|
|
517 | 521 | if self.xaxis == "frequency": |
|
|
518 | 522 | x = self.data.xrange[0] |
|
|
519 | 523 | self.xlabel = "Frequency (kHz)" |
|
|
520 | 524 | elif self.xaxis == "time": |
|
|
521 | 525 | x = self.data.xrange[1] |
|
|
522 | 526 | self.xlabel = "Time (ms)" |
|
|
523 | 527 | else: |
|
|
524 | 528 | x = self.data.xrange[2] |
|
|
525 | 529 | self.xlabel = "Velocity (m/s)" |
|
|
526 | 530 | |
|
|
527 | 531 | if self.CODE == 'spc_mean': |
|
|
528 | 532 | x = self.data.xrange[2] |
|
|
529 | 533 | self.xlabel = "Velocity (m/s)" |
|
|
530 | 534 | |
|
|
531 | 535 | self.titles = [] |
|
|
532 | 536 | |
|
|
533 | 537 | y = self.data.heights |
|
|
534 | 538 | self.y = y |
|
|
535 | 539 | z = self.data['spc'] |
|
|
536 | 540 | |
|
|
537 | 541 | for n, ax in enumerate(self.axes): |
|
|
538 | 542 | noise = self.data['noise'][n][-1] |
|
|
539 | 543 | if self.CODE == 'spc_mean': |
|
|
540 | 544 | mean = self.data['mean'][n][-1] |
|
|
541 | 545 | if ax.firsttime: |
|
|
542 | 546 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
543 | 547 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
544 | 548 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) |
|
|
545 | 549 | self.zmax = self.zmax if self.zmax else numpy.nanmax(z) |
|
|
546 | 550 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
547 | 551 | vmin=self.zmin, |
|
|
548 | 552 | vmax=self.zmax, |
|
|
549 | 553 | cmap=plt.get_cmap(self.colormap) |
|
|
550 | 554 | ) |
|
|
551 | 555 | |
|
|
552 | 556 | if self.showprofile: |
|
|
553 | 557 | ax.plt_profile = self.pf_axes[n].plot( |
|
|
554 | 558 | self.data['rti'][n][-1], y)[0] |
|
|
555 | 559 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, |
|
|
556 | 560 | color="k", linestyle="dashed", lw=1)[0] |
|
|
557 | 561 | if self.CODE == 'spc_mean': |
|
|
558 | 562 | ax.plt_mean = ax.plot(mean, y, color='k')[0] |
|
|
559 | 563 | else: |
|
|
560 | 564 | ax.plt.set_array(z[n].T.ravel()) |
|
|
561 | 565 | if self.showprofile: |
|
|
562 | 566 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) |
|
|
563 | 567 | ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) |
|
|
564 | 568 | if self.CODE == 'spc_mean': |
|
|
565 | 569 | ax.plt_mean.set_data(mean, y) |
|
|
566 | 570 | |
|
|
567 | 571 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
568 | 572 | self.saveTime = self.max_time |
|
|
569 | 573 | |
|
|
570 | 574 | |
|
|
571 | 575 | class PlotCrossSpectraData(PlotData): |
|
|
572 | 576 | |
|
|
573 | 577 | CODE = 'cspc' |
|
|
574 | 578 | zmin_coh = None |
|
|
575 | 579 | zmax_coh = None |
|
|
576 | 580 | zmin_phase = None |
|
|
577 | 581 | zmax_phase = None |
|
|
578 | 582 | |
|
|
579 | 583 | def setup(self): |
|
|
580 | 584 | |
|
|
581 | 585 | self.ncols = 4 |
|
|
582 | 586 | self.nrows = len(self.data.pairs) |
|
|
583 | 587 | self.nplots = self.nrows * 4 |
|
|
584 | 588 | self.width = 3.4 * self.ncols |
|
|
585 | 589 | self.height = 3 * self.nrows |
|
|
586 | 590 | self.ylabel = 'Range [Km]' |
|
|
587 | 591 | self.showprofile = False |
|
|
588 | 592 | |
|
|
589 | 593 | def plot(self): |
|
|
590 | 594 | |
|
|
591 | 595 | if self.xaxis == "frequency": |
|
|
592 | 596 | x = self.data.xrange[0] |
|
|
593 | 597 | self.xlabel = "Frequency (kHz)" |
|
|
594 | 598 | elif self.xaxis == "time": |
|
|
595 | 599 | x = self.data.xrange[1] |
|
|
596 | 600 | self.xlabel = "Time (ms)" |
|
|
597 | 601 | else: |
|
|
598 | 602 | x = self.data.xrange[2] |
|
|
599 | 603 | self.xlabel = "Velocity (m/s)" |
|
|
600 | 604 | |
|
|
601 | 605 | self.titles = [] |
|
|
602 | 606 | |
|
|
603 | 607 | y = self.data.heights |
|
|
604 | 608 | self.y = y |
|
|
605 | 609 | spc = self.data['spc'] |
|
|
606 | 610 | cspc = self.data['cspc'] |
|
|
607 | 611 | |
|
|
608 | 612 | for n in range(self.nrows): |
|
|
609 | 613 | noise = self.data['noise'][n][-1] |
|
|
610 | 614 | pair = self.data.pairs[n] |
|
|
611 | 615 | ax = self.axes[4 * n] |
|
|
612 | 616 | ax3 = self.axes[4 * n + 3] |
|
|
613 | 617 | if ax.firsttime: |
|
|
614 | 618 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
615 | 619 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
616 | 620 | self.zmin = self.zmin if self.zmin else numpy.nanmin(spc) |
|
|
617 | 621 | self.zmax = self.zmax if self.zmax else numpy.nanmax(spc) |
|
|
618 | 622 | ax.plt = ax.pcolormesh(x, y, spc[pair[0]].T, |
|
|
619 | 623 | vmin=self.zmin, |
|
|
620 | 624 | vmax=self.zmax, |
|
|
621 | 625 | cmap=plt.get_cmap(self.colormap) |
|
|
622 | 626 | ) |
|
|
623 | 627 | else: |
|
|
624 | 628 | ax.plt.set_array(spc[pair[0]].T.ravel()) |
|
|
625 | 629 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
626 | 630 | |
|
|
627 | 631 | ax = self.axes[4 * n + 1] |
|
|
628 | 632 | if ax.firsttime: |
|
|
629 | 633 | ax.plt = ax.pcolormesh(x, y, spc[pair[1]].T, |
|
|
630 | 634 | vmin=self.zmin, |
|
|
631 | 635 | vmax=self.zmax, |
|
|
632 | 636 | cmap=plt.get_cmap(self.colormap) |
|
|
633 | 637 | ) |
|
|
634 | 638 | else: |
|
|
635 | 639 | ax.plt.set_array(spc[pair[1]].T.ravel()) |
|
|
636 | 640 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
637 | 641 | |
|
|
638 | 642 | out = cspc[n] / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) |
|
|
639 | 643 | coh = numpy.abs(out) |
|
|
640 | 644 | phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi |
|
|
641 | 645 | |
|
|
642 | 646 | ax = self.axes[4 * n + 2] |
|
|
643 | 647 | if ax.firsttime: |
|
|
644 | 648 | ax.plt = ax.pcolormesh(x, y, coh.T, |
|
|
645 | 649 | vmin=0, |
|
|
646 | 650 | vmax=1, |
|
|
647 | 651 | cmap=plt.get_cmap(self.colormap_coh) |
|
|
648 | 652 | ) |
|
|
649 | 653 | else: |
|
|
650 | 654 | ax.plt.set_array(coh.T.ravel()) |
|
|
651 | 655 | self.titles.append( |
|
|
652 | 656 | 'Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) |
|
|
653 | 657 | |
|
|
654 | 658 | ax = self.axes[4 * n + 3] |
|
|
655 | 659 | if ax.firsttime: |
|
|
656 | 660 | ax.plt = ax.pcolormesh(x, y, phase.T, |
|
|
657 | 661 | vmin=-180, |
|
|
658 | 662 | vmax=180, |
|
|
659 | 663 | cmap=plt.get_cmap(self.colormap_phase) |
|
|
660 | 664 | ) |
|
|
661 | 665 | else: |
|
|
662 | 666 | ax.plt.set_array(phase.T.ravel()) |
|
|
663 | 667 | self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) |
|
|
664 | 668 | |
|
|
665 | 669 | self.saveTime = self.max_time |
|
|
666 | 670 | |
|
|
667 | 671 | |
|
|
668 | 672 | class PlotSpectraMeanData(PlotSpectraData): |
|
|
669 | 673 | ''' |
|
|
670 | 674 | Plot for Spectra and Mean |
|
|
671 | 675 | ''' |
|
|
672 | 676 | CODE = 'spc_mean' |
|
|
673 | 677 | colormap = 'jro' |
|
|
674 | 678 | |
|
|
675 | 679 | |
|
|
676 | 680 | class PlotRTIData(PlotData): |
|
|
677 | 681 | ''' |
|
|
678 | 682 | Plot for RTI data |
|
|
679 | 683 | ''' |
|
|
680 | 684 | |
|
|
681 | 685 | CODE = 'rti' |
|
|
682 | 686 | colormap = 'jro' |
|
|
683 | 687 | |
|
|
684 | 688 | def setup(self): |
|
|
685 | 689 | self.xaxis = 'time' |
|
|
686 | 690 | self.ncols = 1 |
|
|
687 | 691 | self.nrows = len(self.data.channels) |
|
|
688 | 692 | self.nplots = len(self.data.channels) |
|
|
689 | 693 | self.ylabel = 'Range [Km]' |
|
|
690 | 694 | self.cb_label = 'dB' |
|
|
691 | 695 | self.titles = ['{} Channel {}'.format( |
|
|
692 | 696 | self.CODE.upper(), x) for x in range(self.nrows)] |
|
|
693 | 697 | |
|
|
694 | 698 | def plot(self): |
|
|
695 | 699 | self.x = self.times |
|
|
696 | 700 | self.y = self.data.heights |
|
|
697 | 701 | self.z = self.data[self.CODE] |
|
|
698 | 702 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
699 | 703 | |
|
|
700 | 704 | for n, ax in enumerate(self.axes): |
|
|
701 | 705 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
702 | 706 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) |
|
|
703 | 707 | self.zmax = self.zmax if self.zmax else numpy.max(self.z) |
|
|
704 | 708 | if ax.firsttime: |
|
|
705 | 709 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
706 | 710 | vmin=self.zmin, |
|
|
707 | 711 | vmax=self.zmax, |
|
|
708 | 712 | cmap=plt.get_cmap(self.colormap) |
|
|
709 | 713 | ) |
|
|
710 | 714 | if self.showprofile: |
|
|
711 | 715 | ax.plot_profile = self.pf_axes[n].plot( |
|
|
712 | 716 | self.data['rti'][n][-1], self.y)[0] |
|
|
713 | 717 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, |
|
|
714 | 718 | color="k", linestyle="dashed", lw=1)[0] |
|
|
715 | 719 | else: |
|
|
716 | 720 | ax.collections.remove(ax.collections[0]) |
|
|
717 | 721 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
718 | 722 | vmin=self.zmin, |
|
|
719 | 723 | vmax=self.zmax, |
|
|
720 | 724 | cmap=plt.get_cmap(self.colormap) |
|
|
721 | 725 | ) |
|
|
722 | 726 | if self.showprofile: |
|
|
723 | 727 | ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) |
|
|
724 | 728 | ax.plot_noise.set_data(numpy.repeat( |
|
|
725 | 729 | self.data['noise'][n][-1], len(self.y)), self.y) |
|
|
726 | 730 | |
|
|
727 | 731 | self.saveTime = self.min_time |
|
|
728 | 732 | |
|
|
729 | 733 | |
|
|
730 | 734 | class PlotCOHData(PlotRTIData): |
|
|
731 | 735 | ''' |
|
|
732 | 736 | Plot for Coherence data |
|
|
733 | 737 | ''' |
|
|
734 | 738 | |
|
|
735 | 739 | CODE = 'coh' |
|
|
736 | 740 | |
|
|
737 | 741 | def setup(self): |
|
|
738 | 742 | self.xaxis = 'time' |
|
|
739 | 743 | self.ncols = 1 |
|
|
740 | 744 | self.nrows = len(self.data.pairs) |
|
|
741 | 745 | self.nplots = len(self.data.pairs) |
|
|
742 | 746 | self.ylabel = 'Range [Km]' |
|
|
743 | 747 | if self.CODE == 'coh': |
|
|
744 | 748 | self.cb_label = '' |
|
|
745 | 749 | self.titles = [ |
|
|
746 | 750 | 'Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
747 | 751 | else: |
|
|
748 | 752 | self.cb_label = 'Degrees' |
|
|
749 | 753 | self.titles = [ |
|
|
750 | 754 | 'Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
751 | 755 | |
|
|
752 | 756 | |
|
|
753 | 757 | class PlotPHASEData(PlotCOHData): |
|
|
754 | 758 | ''' |
|
|
755 | 759 | Plot for Phase map data |
|
|
756 | 760 | ''' |
|
|
757 | 761 | |
|
|
758 | 762 | CODE = 'phase' |
|
|
759 | 763 | colormap = 'seismic' |
|
|
760 | 764 | |
|
|
761 | 765 | |
|
|
762 | 766 | class PlotNoiseData(PlotData): |
|
|
763 | 767 | ''' |
|
|
764 | 768 | Plot for noise |
|
|
765 | 769 | ''' |
|
|
766 | 770 | |
|
|
767 | 771 | CODE = 'noise' |
|
|
768 | 772 | |
|
|
769 | 773 | def setup(self): |
|
|
770 | 774 | self.xaxis = 'time' |
|
|
771 | 775 | self.ncols = 1 |
|
|
772 | 776 | self.nrows = 1 |
|
|
773 | 777 | self.nplots = 1 |
|
|
774 | 778 | self.ylabel = 'Intensity [dB]' |
|
|
775 | 779 | self.titles = ['Noise'] |
|
|
776 | 780 | self.colorbar = False |
|
|
777 | 781 | |
|
|
778 | 782 | def plot(self): |
|
|
779 | 783 | |
|
|
780 | 784 | x = self.times |
|
|
781 | 785 | xmin = self.min_time |
|
|
782 | 786 | xmax = xmin + self.xrange * 60 * 60 |
|
|
783 | 787 | Y = self.data[self.CODE] |
|
|
784 | 788 | |
|
|
785 | 789 | if self.axes[0].firsttime: |
|
|
786 | 790 | for ch in self.data.channels: |
|
|
787 | 791 | y = Y[ch] |
|
|
788 | 792 | self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch)) |
|
|
789 | 793 | plt.legend() |
|
|
790 | 794 | else: |
|
|
791 | 795 | for ch in self.data.channels: |
|
|
792 | 796 | y = Y[ch] |
|
|
793 | 797 | self.axes[0].lines[ch].set_data(x, y) |
|
|
794 | 798 | |
|
|
795 | 799 | self.ymin = numpy.nanmin(Y) - 5 |
|
|
796 | 800 | self.ymax = numpy.nanmax(Y) + 5 |
|
|
797 | 801 | self.saveTime = self.min_time |
|
|
798 | 802 | |
|
|
799 | 803 | |
|
|
800 | 804 | class PlotSNRData(PlotRTIData): |
|
|
801 | 805 | ''' |
|
|
802 | 806 | Plot for SNR Data |
|
|
803 | 807 | ''' |
|
|
804 | 808 | |
|
|
805 | 809 | CODE = 'snr' |
|
|
806 | 810 | colormap = 'jet' |
|
|
807 | 811 | |
|
|
808 | 812 | |
|
|
809 | 813 | class PlotDOPData(PlotRTIData): |
|
|
810 | 814 | ''' |
|
|
811 | 815 | Plot for DOPPLER Data |
|
|
812 | 816 | ''' |
|
|
813 | 817 | |
|
|
814 | 818 | CODE = 'dop' |
|
|
815 | 819 | colormap = 'jet' |
|
|
816 | 820 | |
|
|
817 | 821 | |
|
|
818 | 822 | class PlotSkyMapData(PlotData): |
|
|
819 | 823 | ''' |
|
|
820 | 824 | Plot for meteors detection data |
|
|
821 | 825 | ''' |
|
|
822 | 826 | |
|
|
823 | 827 | CODE = 'param' |
|
|
824 | 828 | |
|
|
825 | 829 | def setup(self): |
|
|
826 | 830 | |
|
|
827 | 831 | self.ncols = 1 |
|
|
828 | 832 | self.nrows = 1 |
|
|
829 | 833 | self.width = 7.2 |
|
|
830 | 834 | self.height = 7.2 |
|
|
831 | 835 | self.nplots = 1 |
|
|
832 | 836 | self.xlabel = 'Zonal Zenith Angle (deg)' |
|
|
833 | 837 | self.ylabel = 'Meridional Zenith Angle (deg)' |
|
|
834 | 838 | self.polar = True |
|
|
835 | 839 | self.ymin = -180 |
|
|
836 | 840 | self.ymax = 180 |
|
|
837 | 841 | self.colorbar = False |
|
|
838 | 842 | |
|
|
839 | 843 | def plot(self): |
|
|
840 | 844 | |
|
|
841 | 845 | arrayParameters = numpy.concatenate(self.data['param']) |
|
|
842 | 846 | error = arrayParameters[:, -1] |
|
|
843 | 847 | indValid = numpy.where(error == 0)[0] |
|
|
844 | 848 | finalMeteor = arrayParameters[indValid, :] |
|
|
845 | 849 | finalAzimuth = finalMeteor[:, 3] |
|
|
846 | 850 | finalZenith = finalMeteor[:, 4] |
|
|
847 | 851 | |
|
|
848 | 852 | x = finalAzimuth * numpy.pi / 180 |
|
|
849 | 853 | y = finalZenith |
|
|
850 | 854 | |
|
|
851 | 855 | ax = self.axes[0] |
|
|
852 | 856 | |
|
|
853 | 857 | if ax.firsttime: |
|
|
854 | 858 | ax.plot = ax.plot(x, y, 'bo', markersize=5)[0] |
|
|
855 | 859 | else: |
|
|
856 | 860 | ax.plot.set_data(x, y) |
|
|
857 | 861 | |
|
|
858 | 862 | dt1 = self.getDateTime(self.min_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
859 | 863 | dt2 = self.getDateTime(self.max_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
860 | 864 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, |
|
|
861 | 865 | dt2, |
|
|
862 | 866 | len(x)) |
|
|
863 | 867 | self.titles[0] = title |
|
|
864 | 868 | self.saveTime = self.max_time |
|
|
865 | 869 | |
|
|
866 | 870 | |
|
|
867 | 871 | class PlotParamData(PlotRTIData): |
|
|
868 | 872 | ''' |
|
|
869 | 873 | Plot for data_param object |
|
|
870 | 874 | ''' |
|
|
871 | 875 | |
|
|
872 | 876 | CODE = 'param' |
|
|
873 | 877 | colormap = 'seismic' |
|
|
874 | 878 | |
|
|
875 | 879 | def setup(self): |
|
|
876 | 880 | self.xaxis = 'time' |
|
|
877 | 881 | self.ncols = 1 |
|
|
878 | 882 | self.nrows = self.data.shape(self.CODE)[0] |
|
|
879 | 883 | self.nplots = self.nrows |
|
|
880 | 884 | if self.showSNR: |
|
|
881 | 885 | self.nrows += 1 |
|
|
882 | 886 | self.nplots += 1 |
|
|
883 | 887 | |
|
|
884 | 888 | self.ylabel = 'Height [Km]' |
|
|
885 | 889 | self.titles = self.data.parameters \ |
|
|
886 | 890 | if self.data.parameters else ['Param {}'.format(x) for x in xrange(self.nrows)] |
|
|
887 | 891 | if self.showSNR: |
|
|
888 | 892 | self.titles.append('SNR') |
|
|
889 | 893 | |
|
|
890 | 894 | def plot(self): |
|
|
891 | 895 | self.data.normalize_heights() |
|
|
892 | 896 | self.x = self.times |
|
|
893 | 897 | self.y = self.data.heights |
|
|
894 | 898 | if self.showSNR: |
|
|
895 | 899 | self.z = numpy.concatenate( |
|
|
896 | 900 | (self.data[self.CODE], self.data['snr']) |
|
|
897 | 901 | ) |
|
|
898 | 902 | else: |
|
|
899 | 903 | self.z = self.data[self.CODE] |
|
|
900 | 904 | |
|
|
901 | 905 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
902 | 906 | |
|
|
903 | 907 | for n, ax in enumerate(self.axes): |
|
|
904 | 908 | |
|
|
905 | 909 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
906 | 910 | self.zmax = self.zmax if self.zmax is not None else numpy.max(self.z[n]) |
|
|
907 | 911 | self.zmin = self.zmin if self.zmin is not None else numpy.min(self.z[n]) |
|
|
908 | 912 | |
|
|
909 | 913 | if ax.firsttime: |
|
|
910 | 914 | if self.zlimits is not None: |
|
|
911 | 915 | self.zmin, self.zmax = self.zlimits[n] |
|
|
912 | 916 | |
|
|
913 | 917 | ax.plt = ax.pcolormesh(x, y, z[n].T*self.factors[n], |
|
|
914 | 918 | vmin=self.zmin, |
|
|
915 | 919 | vmax=self.zmax, |
|
|
916 | 920 | cmap=self.cmaps[n] |
|
|
917 | 921 | ) |
|
|
918 | 922 | else: |
|
|
919 | 923 | if self.zlimits is not None: |
|
|
920 | 924 | self.zmin, self.zmax = self.zlimits[n] |
|
|
921 | 925 | ax.collections.remove(ax.collections[0]) |
|
|
922 | 926 | ax.plt = ax.pcolormesh(x, y, z[n].T*self.factors[n], |
|
|
923 | 927 | vmin=self.zmin, |
|
|
924 | 928 | vmax=self.zmax, |
|
|
925 | 929 | cmap=self.cmaps[n] |
|
|
926 | 930 | ) |
|
|
927 | 931 | |
|
|
928 | 932 | self.saveTime = self.min_time |
|
|
929 | 933 | |
|
|
930 | 934 | class PlotOutputData(PlotParamData): |
|
|
931 | 935 | ''' |
|
|
932 | 936 | Plot data_output object |
|
|
933 | 937 | ''' |
|
|
934 | 938 | |
|
|
935 | 939 | CODE = 'output' |
|
|
936 | 940 | colormap = 'seismic' |
| @@ -1,1830 +1,1833 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import sys |
|
|
8 | 8 | import glob |
|
|
9 | 9 | import time |
|
|
10 | 10 | import numpy |
|
|
11 | 11 | import fnmatch |
|
|
12 | 12 | import inspect |
|
|
13 | 13 | import time |
|
|
14 | 14 | import datetime |
|
|
15 | 15 | import traceback |
|
|
16 | 16 | import zmq |
|
|
17 | 17 | |
|
|
18 | 18 | try: |
|
|
19 | 19 | from gevent import sleep |
|
|
20 | 20 | except: |
|
|
21 | 21 | from time import sleep |
|
|
22 | 22 | |
|
|
23 | 23 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
24 | 24 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width |
|
|
25 | 25 | |
|
|
26 | 26 | LOCALTIME = True |
|
|
27 | 27 | |
|
|
28 | 28 | |
|
|
29 | 29 | def isNumber(cad): |
|
|
30 | 30 | """ |
|
|
31 | 31 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
32 | 32 | |
|
|
33 | 33 | Excepciones: |
|
|
34 | 34 | Si un determinado string no puede ser convertido a numero |
|
|
35 | 35 | Input: |
|
|
36 | 36 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
37 | 37 | |
|
|
38 | 38 | Return: |
|
|
39 | 39 | True : si el string es uno numerico |
|
|
40 | 40 | False : no es un string numerico |
|
|
41 | 41 | """ |
|
|
42 | 42 | try: |
|
|
43 | 43 | float(cad) |
|
|
44 | 44 | return True |
|
|
45 | 45 | except: |
|
|
46 | 46 | return False |
|
|
47 | 47 | |
|
|
48 | 48 | |
|
|
49 | 49 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): |
|
|
50 | 50 | """ |
|
|
51 | 51 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
52 | 52 | |
|
|
53 | 53 | Inputs: |
|
|
54 | 54 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
55 | 55 | |
|
|
56 | 56 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
57 | 57 | segundos contados desde 01/01/1970. |
|
|
58 | 58 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
59 | 59 | segundos contados desde 01/01/1970. |
|
|
60 | 60 | |
|
|
61 | 61 | Return: |
|
|
62 | 62 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
63 | 63 | fecha especificado, de lo contrario retorna False. |
|
|
64 | 64 | |
|
|
65 | 65 | Excepciones: |
|
|
66 | 66 | Si el archivo no existe o no puede ser abierto |
|
|
67 | 67 | Si la cabecera no puede ser leida. |
|
|
68 | 68 | |
|
|
69 | 69 | """ |
|
|
70 | 70 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
71 | 71 | |
|
|
72 | 72 | try: |
|
|
73 | 73 | fp = open(filename, 'rb') |
|
|
74 | 74 | except IOError: |
|
|
75 | 75 | print "The file %s can't be opened" % (filename) |
|
|
76 | 76 | return 0 |
|
|
77 | 77 | |
|
|
78 | 78 | sts = basicHeaderObj.read(fp) |
|
|
79 | 79 | fp.close() |
|
|
80 | 80 | |
|
|
81 | 81 | if not(sts): |
|
|
82 | 82 | print "Skipping the file %s because it has not a valid header" % (filename) |
|
|
83 | 83 | return 0 |
|
|
84 | 84 | |
|
|
85 | 85 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
86 | 86 | return 0 |
|
|
87 | 87 | |
|
|
88 | 88 | return 1 |
|
|
89 | 89 | |
|
|
90 | 90 | |
|
|
91 | 91 | def isTimeInRange(thisTime, startTime, endTime): |
|
|
92 | 92 | if endTime >= startTime: |
|
|
93 | 93 | if (thisTime < startTime) or (thisTime > endTime): |
|
|
94 | 94 | return 0 |
|
|
95 | 95 | return 1 |
|
|
96 | 96 | else: |
|
|
97 | 97 | if (thisTime < startTime) and (thisTime > endTime): |
|
|
98 | 98 | return 0 |
|
|
99 | 99 | return 1 |
|
|
100 | 100 | |
|
|
101 | 101 | |
|
|
102 | 102 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): |
|
|
103 | 103 | """ |
|
|
104 | 104 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
105 | 105 | |
|
|
106 | 106 | Inputs: |
|
|
107 | 107 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
108 | 108 | |
|
|
109 | 109 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
110 | 110 | |
|
|
111 | 111 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
112 | 112 | |
|
|
113 | 113 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
114 | 114 | |
|
|
115 | 115 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
116 | 116 | |
|
|
117 | 117 | Return: |
|
|
118 | 118 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
119 | 119 | fecha especificado, de lo contrario retorna False. |
|
|
120 | 120 | |
|
|
121 | 121 | Excepciones: |
|
|
122 | 122 | Si el archivo no existe o no puede ser abierto |
|
|
123 | 123 | Si la cabecera no puede ser leida. |
|
|
124 | 124 | |
|
|
125 | 125 | """ |
|
|
126 | 126 | |
|
|
127 | 127 | try: |
|
|
128 | 128 | fp = open(filename, 'rb') |
|
|
129 | 129 | except IOError: |
|
|
130 | 130 | print "The file %s can't be opened" % (filename) |
|
|
131 | 131 | return None |
|
|
132 | 132 | |
|
|
133 | 133 | firstBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
134 | 134 | systemHeaderObj = SystemHeader() |
|
|
135 | 135 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
136 | 136 | processingHeaderObj = ProcessingHeader() |
|
|
137 | 137 | |
|
|
138 | 138 | lastBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
139 | 139 | |
|
|
140 | 140 | sts = firstBasicHeaderObj.read(fp) |
|
|
141 | 141 | |
|
|
142 | 142 | if not(sts): |
|
|
143 | 143 | print "[Reading] Skipping the file %s because it has not a valid header" % (filename) |
|
|
144 | 144 | return None |
|
|
145 | 145 | |
|
|
146 | 146 | if not systemHeaderObj.read(fp): |
|
|
147 | 147 | return None |
|
|
148 | 148 | |
|
|
149 | 149 | if not radarControllerHeaderObj.read(fp): |
|
|
150 | 150 | return None |
|
|
151 | 151 | |
|
|
152 | 152 | if not processingHeaderObj.read(fp): |
|
|
153 | 153 | return None |
|
|
154 | 154 | |
|
|
155 | 155 | filesize = os.path.getsize(filename) |
|
|
156 | 156 | |
|
|
157 | 157 | offset = processingHeaderObj.blockSize + 24 # header size |
|
|
158 | 158 | |
|
|
159 | 159 | if filesize <= offset: |
|
|
160 | 160 | print "[Reading] %s: This file has not enough data" % filename |
|
|
161 | 161 | return None |
|
|
162 | 162 | |
|
|
163 | 163 | fp.seek(-offset, 2) |
|
|
164 | 164 | |
|
|
165 | 165 | sts = lastBasicHeaderObj.read(fp) |
|
|
166 | 166 | |
|
|
167 | 167 | fp.close() |
|
|
168 | 168 | |
|
|
169 | 169 | thisDatetime = lastBasicHeaderObj.datatime |
|
|
170 | 170 | thisTime_last_block = thisDatetime.time() |
|
|
171 | 171 | |
|
|
172 | 172 | thisDatetime = firstBasicHeaderObj.datatime |
|
|
173 | 173 | thisDate = thisDatetime.date() |
|
|
174 | 174 | thisTime_first_block = thisDatetime.time() |
|
|
175 | 175 | |
|
|
176 | 176 | # General case |
|
|
177 | 177 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
|
178 | 178 | #-----------o----------------------------o----------- |
|
|
179 | 179 | # startTime endTime |
|
|
180 | 180 | |
|
|
181 | 181 | if endTime >= startTime: |
|
|
182 | 182 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): |
|
|
183 | 183 | return None |
|
|
184 | 184 | |
|
|
185 | 185 | return thisDatetime |
|
|
186 | 186 | |
|
|
187 | 187 | # If endTime < startTime then endTime belongs to the next day |
|
|
188 | 188 | |
|
|
189 | 189 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
|
190 | 190 | #-----------o----------------------------o----------- |
|
|
191 | 191 | # endTime startTime |
|
|
192 | 192 | |
|
|
193 | 193 | if (thisDate == startDate) and (thisTime_last_block < startTime): |
|
|
194 | 194 | return None |
|
|
195 | 195 | |
|
|
196 | 196 | if (thisDate == endDate) and (thisTime_first_block > endTime): |
|
|
197 | 197 | return None |
|
|
198 | 198 | |
|
|
199 | 199 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): |
|
|
200 | 200 | return None |
|
|
201 | 201 | |
|
|
202 | 202 | return thisDatetime |
|
|
203 | 203 | |
|
|
204 | 204 | |
|
|
205 | 205 | def isFolderInDateRange(folder, startDate=None, endDate=None): |
|
|
206 | 206 | """ |
|
|
207 | 207 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
208 | 208 | |
|
|
209 | 209 | Inputs: |
|
|
210 | 210 | folder : nombre completo del directorio. |
|
|
211 | 211 | Su formato deberia ser "/path_root/?YYYYDDD" |
|
|
212 | 212 | |
|
|
213 | 213 | siendo: |
|
|
214 | 214 | YYYY : Anio (ejemplo 2015) |
|
|
215 | 215 | DDD : Dia del anio (ejemplo 305) |
|
|
216 | 216 | |
|
|
217 | 217 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
218 | 218 | |
|
|
219 | 219 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
220 | 220 | |
|
|
221 | 221 | Return: |
|
|
222 | 222 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
223 | 223 | fecha especificado, de lo contrario retorna False. |
|
|
224 | 224 | Excepciones: |
|
|
225 | 225 | Si el directorio no tiene el formato adecuado |
|
|
226 | 226 | """ |
|
|
227 | 227 | |
|
|
228 | 228 | basename = os.path.basename(folder) |
|
|
229 | 229 | |
|
|
230 | 230 | if not isRadarFolder(basename): |
|
|
231 | 231 | print "The folder %s has not the rigth format" % folder |
|
|
232 | 232 | return 0 |
|
|
233 | 233 | |
|
|
234 | 234 | if startDate and endDate: |
|
|
235 | 235 | thisDate = getDateFromRadarFolder(basename) |
|
|
236 | 236 | |
|
|
237 | 237 | if thisDate < startDate: |
|
|
238 | 238 | return 0 |
|
|
239 | 239 | |
|
|
240 | 240 | if thisDate > endDate: |
|
|
241 | 241 | return 0 |
|
|
242 | 242 | |
|
|
243 | 243 | return 1 |
|
|
244 | 244 | |
|
|
245 | 245 | |
|
|
246 | 246 | def isFileInDateRange(filename, startDate=None, endDate=None): |
|
|
247 | 247 | """ |
|
|
248 | 248 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
249 | 249 | |
|
|
250 | 250 | Inputs: |
|
|
251 | 251 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
252 | 252 | |
|
|
253 | 253 | Su formato deberia ser "?YYYYDDDsss" |
|
|
254 | 254 | |
|
|
255 | 255 | siendo: |
|
|
256 | 256 | YYYY : Anio (ejemplo 2015) |
|
|
257 | 257 | DDD : Dia del anio (ejemplo 305) |
|
|
258 | 258 | sss : set |
|
|
259 | 259 | |
|
|
260 | 260 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
261 | 261 | |
|
|
262 | 262 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
263 | 263 | |
|
|
264 | 264 | Return: |
|
|
265 | 265 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
266 | 266 | fecha especificado, de lo contrario retorna False. |
|
|
267 | 267 | Excepciones: |
|
|
268 | 268 | Si el archivo no tiene el formato adecuado |
|
|
269 | 269 | """ |
|
|
270 | 270 | |
|
|
271 | 271 | basename = os.path.basename(filename) |
|
|
272 | 272 | |
|
|
273 | 273 | if not isRadarFile(basename): |
|
|
274 | 274 | print "The filename %s has not the rigth format" % filename |
|
|
275 | 275 | return 0 |
|
|
276 | 276 | |
|
|
277 | 277 | if startDate and endDate: |
|
|
278 | 278 | thisDate = getDateFromRadarFile(basename) |
|
|
279 | 279 | |
|
|
280 | 280 | if thisDate < startDate: |
|
|
281 | 281 | return 0 |
|
|
282 | 282 | |
|
|
283 | 283 | if thisDate > endDate: |
|
|
284 | 284 | return 0 |
|
|
285 | 285 | |
|
|
286 | 286 | return 1 |
|
|
287 | 287 | |
|
|
288 | 288 | |
|
|
289 | 289 | def getFileFromSet(path, ext, set): |
|
|
290 | 290 | validFilelist = [] |
|
|
291 | 291 | fileList = os.listdir(path) |
|
|
292 | 292 | |
|
|
293 | 293 | # 0 1234 567 89A BCDE |
|
|
294 | 294 | # H YYYY DDD SSS .ext |
|
|
295 | 295 | |
|
|
296 | 296 | for thisFile in fileList: |
|
|
297 | 297 | try: |
|
|
298 | 298 | year = int(thisFile[1:5]) |
|
|
299 | 299 | doy = int(thisFile[5:8]) |
|
|
300 | 300 | except: |
|
|
301 | 301 | continue |
|
|
302 | 302 | |
|
|
303 | 303 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
304 | 304 | continue |
|
|
305 | 305 | |
|
|
306 | 306 | validFilelist.append(thisFile) |
|
|
307 | 307 | |
|
|
308 | 308 | myfile = fnmatch.filter( |
|
|
309 | 309 | validFilelist, '*%4.4d%3.3d%3.3d*' % (year, doy, set)) |
|
|
310 | 310 | |
|
|
311 | 311 | if len(myfile) != 0: |
|
|
312 | 312 | return myfile[0] |
|
|
313 | 313 | else: |
|
|
314 | 314 | filename = '*%4.4d%3.3d%3.3d%s' % (year, doy, set, ext.lower()) |
|
|
315 | 315 | print 'the filename %s does not exist' % filename |
|
|
316 | 316 | print '...going to the last file: ' |
|
|
317 | 317 | |
|
|
318 | 318 | if validFilelist: |
|
|
319 | 319 | validFilelist = sorted(validFilelist, key=str.lower) |
|
|
320 | 320 | return validFilelist[-1] |
|
|
321 | 321 | |
|
|
322 | 322 | return None |
|
|
323 | 323 | |
|
|
324 | 324 | |
|
|
325 | 325 | def getlastFileFromPath(path, ext): |
|
|
326 | 326 | """ |
|
|
327 | 327 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
328 | 328 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
329 | 329 | |
|
|
330 | 330 | Input: |
|
|
331 | 331 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
332 | 332 | ext : extension de los files contenidos en una carpeta |
|
|
333 | 333 | |
|
|
334 | 334 | Return: |
|
|
335 | 335 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
336 | 336 | """ |
|
|
337 | 337 | validFilelist = [] |
|
|
338 | 338 | fileList = os.listdir(path) |
|
|
339 | 339 | |
|
|
340 | 340 | # 0 1234 567 89A BCDE |
|
|
341 | 341 | # H YYYY DDD SSS .ext |
|
|
342 | 342 | |
|
|
343 | 343 | for thisFile in fileList: |
|
|
344 | 344 | |
|
|
345 | 345 | year = thisFile[1:5] |
|
|
346 | 346 | if not isNumber(year): |
|
|
347 | 347 | continue |
|
|
348 | 348 | |
|
|
349 | 349 | doy = thisFile[5:8] |
|
|
350 | 350 | if not isNumber(doy): |
|
|
351 | 351 | continue |
|
|
352 | 352 | |
|
|
353 | 353 | year = int(year) |
|
|
354 | 354 | doy = int(doy) |
|
|
355 | 355 | |
|
|
356 | 356 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
357 | 357 | continue |
|
|
358 | 358 | |
|
|
359 | 359 | validFilelist.append(thisFile) |
|
|
360 | 360 | |
|
|
361 | 361 | if validFilelist: |
|
|
362 | 362 | validFilelist = sorted(validFilelist, key=str.lower) |
|
|
363 | 363 | return validFilelist[-1] |
|
|
364 | 364 | |
|
|
365 | 365 | return None |
|
|
366 | 366 | |
|
|
367 | 367 | |
|
|
368 | 368 | def checkForRealPath(path, foldercounter, year, doy, set, ext): |
|
|
369 | 369 | """ |
|
|
370 | 370 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
|
371 | 371 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
|
372 | 372 | el path exacto de un determinado file. |
|
|
373 | 373 | |
|
|
374 | 374 | Example : |
|
|
375 | 375 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
376 | 376 | |
|
|
377 | 377 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
378 | 378 | .../.../y2009307367.ext |
|
|
379 | 379 | .../.../Y2009307367.ext |
|
|
380 | 380 | .../.../x2009307/y2009307367.ext |
|
|
381 | 381 | .../.../x2009307/Y2009307367.ext |
|
|
382 | 382 | .../.../X2009307/y2009307367.ext |
|
|
383 | 383 | .../.../X2009307/Y2009307367.ext |
|
|
384 | 384 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
385 | 385 | |
|
|
386 | 386 | Return: |
|
|
387 | 387 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
|
388 | 388 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
|
389 | 389 | para el filename |
|
|
390 | 390 | """ |
|
|
391 | 391 | fullfilename = None |
|
|
392 | 392 | find_flag = False |
|
|
393 | 393 | filename = None |
|
|
394 | 394 | |
|
|
395 | 395 | prefixDirList = [None, 'd', 'D'] |
|
|
396 | 396 | if ext.lower() == ".r": # voltage |
|
|
397 | 397 | prefixFileList = ['d', 'D'] |
|
|
398 | 398 | elif ext.lower() == ".pdata": # spectra |
|
|
399 | 399 | prefixFileList = ['p', 'P'] |
|
|
400 | 400 | else: |
|
|
401 | 401 | return None, filename |
|
|
402 | 402 | |
|
|
403 | 403 | # barrido por las combinaciones posibles |
|
|
404 | 404 | for prefixDir in prefixDirList: |
|
|
405 | 405 | thispath = path |
|
|
406 | 406 | if prefixDir != None: |
|
|
407 | 407 | # formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
408 | 408 | if foldercounter == 0: |
|
|
409 | 409 | thispath = os.path.join(path, "%s%04d%03d" % |
|
|
410 | 410 | (prefixDir, year, doy)) |
|
|
411 | 411 | else: |
|
|
412 | 412 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( |
|
|
413 | 413 | prefixDir, year, doy, foldercounter)) |
|
|
414 | 414 | for prefixFile in prefixFileList: # barrido por las dos combinaciones posibles de "D" |
|
|
415 | 415 | # formo el nombre del file xYYYYDDDSSS.ext |
|
|
416 | 416 | filename = "%s%04d%03d%03d%s" % (prefixFile, year, doy, set, ext) |
|
|
417 | 417 | fullfilename = os.path.join( |
|
|
418 | 418 | thispath, filename) # formo el path completo |
|
|
419 | 419 | |
|
|
420 | 420 | if os.path.exists(fullfilename): # verifico que exista |
|
|
421 | 421 | find_flag = True |
|
|
422 | 422 | break |
|
|
423 | 423 | if find_flag: |
|
|
424 | 424 | break |
|
|
425 | 425 | |
|
|
426 | 426 | if not(find_flag): |
|
|
427 | 427 | return None, filename |
|
|
428 | 428 | |
|
|
429 | 429 | return fullfilename, filename |
|
|
430 | 430 | |
|
|
431 | 431 | |
|
|
432 | 432 | def isRadarFolder(folder): |
|
|
433 | 433 | try: |
|
|
434 | 434 | year = int(folder[1:5]) |
|
|
435 | 435 | doy = int(folder[5:8]) |
|
|
436 | 436 | except: |
|
|
437 | 437 | return 0 |
|
|
438 | 438 | |
|
|
439 | 439 | return 1 |
|
|
440 | 440 | |
|
|
441 | 441 | |
|
|
442 | 442 | def isRadarFile(file): |
|
|
443 | 443 | try: |
|
|
444 | 444 | year = int(file[1:5]) |
|
|
445 | 445 | doy = int(file[5:8]) |
|
|
446 | 446 | set = int(file[8:11]) |
|
|
447 | 447 | except: |
|
|
448 | 448 | return 0 |
|
|
449 | 449 | |
|
|
450 | 450 | return 1 |
|
|
451 | 451 | |
|
|
452 | 452 | |
|
|
453 | 453 | def getDateFromRadarFile(file): |
|
|
454 | 454 | try: |
|
|
455 | 455 | year = int(file[1:5]) |
|
|
456 | 456 | doy = int(file[5:8]) |
|
|
457 | 457 | set = int(file[8:11]) |
|
|
458 | 458 | except: |
|
|
459 | 459 | return None |
|
|
460 | 460 | |
|
|
461 | 461 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
462 | 462 | return thisDate |
|
|
463 | 463 | |
|
|
464 | 464 | |
|
|
465 | 465 | def getDateFromRadarFolder(folder): |
|
|
466 | 466 | try: |
|
|
467 | 467 | year = int(folder[1:5]) |
|
|
468 | 468 | doy = int(folder[5:8]) |
|
|
469 | 469 | except: |
|
|
470 | 470 | return None |
|
|
471 | 471 | |
|
|
472 | 472 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
473 | 473 | return thisDate |
|
|
474 | 474 | |
|
|
475 | 475 | |
|
|
476 | 476 | class JRODataIO: |
|
|
477 | 477 | |
|
|
478 | 478 | c = 3E8 |
|
|
479 | 479 | |
|
|
480 | 480 | isConfig = False |
|
|
481 | 481 | |
|
|
482 | 482 | basicHeaderObj = None |
|
|
483 | 483 | |
|
|
484 | 484 | systemHeaderObj = None |
|
|
485 | 485 | |
|
|
486 | 486 | radarControllerHeaderObj = None |
|
|
487 | 487 | |
|
|
488 | 488 | processingHeaderObj = None |
|
|
489 | 489 | |
|
|
490 | 490 | dtype = None |
|
|
491 | 491 | |
|
|
492 | 492 | pathList = [] |
|
|
493 | 493 | |
|
|
494 | 494 | filenameList = [] |
|
|
495 | 495 | |
|
|
496 | 496 | filename = None |
|
|
497 | 497 | |
|
|
498 | 498 | ext = None |
|
|
499 | 499 | |
|
|
500 | 500 | flagIsNewFile = 1 |
|
|
501 | 501 | |
|
|
502 | 502 | flagDiscontinuousBlock = 0 |
|
|
503 | 503 | |
|
|
504 | 504 | flagIsNewBlock = 0 |
|
|
505 | 505 | |
|
|
506 | 506 | fp = None |
|
|
507 | 507 | |
|
|
508 | 508 | firstHeaderSize = 0 |
|
|
509 | 509 | |
|
|
510 | 510 | basicHeaderSize = 24 |
|
|
511 | 511 | |
|
|
512 | 512 | versionFile = 1103 |
|
|
513 | 513 | |
|
|
514 | 514 | fileSize = None |
|
|
515 | 515 | |
|
|
516 | 516 | # ippSeconds = None |
|
|
517 | 517 | |
|
|
518 | 518 | fileSizeByHeader = None |
|
|
519 | 519 | |
|
|
520 | 520 | fileIndex = None |
|
|
521 | 521 | |
|
|
522 | 522 | profileIndex = None |
|
|
523 | 523 | |
|
|
524 | 524 | blockIndex = None |
|
|
525 | 525 | |
|
|
526 | 526 | nTotalBlocks = None |
|
|
527 | 527 | |
|
|
528 | 528 | maxTimeStep = 30 |
|
|
529 | 529 | |
|
|
530 | 530 | lastUTTime = None |
|
|
531 | 531 | |
|
|
532 | 532 | datablock = None |
|
|
533 | 533 | |
|
|
534 | 534 | dataOut = None |
|
|
535 | 535 | |
|
|
536 | 536 | blocksize = None |
|
|
537 | 537 | |
|
|
538 | 538 | getByBlock = False |
|
|
539 | 539 | |
|
|
540 | 540 | def __init__(self): |
|
|
541 | 541 | |
|
|
542 | 542 | raise NotImplementedError |
|
|
543 | 543 | |
|
|
544 | 544 | def run(self): |
|
|
545 | 545 | |
|
|
546 | 546 | raise NotImplementedError |
|
|
547 | 547 | |
|
|
548 | 548 | def getDtypeWidth(self): |
|
|
549 | 549 | |
|
|
550 | 550 | dtype_index = get_dtype_index(self.dtype) |
|
|
551 | 551 | dtype_width = get_dtype_width(dtype_index) |
|
|
552 | 552 | |
|
|
553 | 553 | return dtype_width |
|
|
554 | 554 | |
|
|
555 | 555 | def getAllowedArgs(self): |
|
|
556 | return inspect.getargspec(self.run).args | |
|
|
556 | if hasattr(self, '__attrs__'): | |
|
|
557 | return self.__attrs__ | |
|
|
558 | else: | |
|
|
559 | return inspect.getargspec(self.run).args | |
|
|
557 | 560 | |
|
|
558 | 561 | |
|
|
559 | 562 | class JRODataReader(JRODataIO): |
|
|
560 | 563 | |
|
|
561 | 564 | online = 0 |
|
|
562 | 565 | |
|
|
563 | 566 | realtime = 0 |
|
|
564 | 567 | |
|
|
565 | 568 | nReadBlocks = 0 |
|
|
566 | 569 | |
|
|
567 | 570 | delay = 10 # number of seconds waiting a new file |
|
|
568 | 571 | |
|
|
569 | 572 | nTries = 3 # quantity tries |
|
|
570 | 573 | |
|
|
571 | 574 | nFiles = 3 # number of files for searching |
|
|
572 | 575 | |
|
|
573 | 576 | path = None |
|
|
574 | 577 | |
|
|
575 | 578 | foldercounter = 0 |
|
|
576 | 579 | |
|
|
577 | 580 | flagNoMoreFiles = 0 |
|
|
578 | 581 | |
|
|
579 | 582 | datetimeList = [] |
|
|
580 | 583 | |
|
|
581 | 584 | __isFirstTimeOnline = 1 |
|
|
582 | 585 | |
|
|
583 | 586 | __printInfo = True |
|
|
584 | 587 | |
|
|
585 | 588 | profileIndex = None |
|
|
586 | 589 | |
|
|
587 | 590 | nTxs = 1 |
|
|
588 | 591 | |
|
|
589 | 592 | txIndex = None |
|
|
590 | 593 | |
|
|
591 | 594 | # Added-------------------- |
|
|
592 | 595 | |
|
|
593 | 596 | selBlocksize = None |
|
|
594 | 597 | |
|
|
595 | 598 | selBlocktime = None |
|
|
596 | 599 | |
|
|
597 | 600 | def __init__(self): |
|
|
598 | 601 | """ |
|
|
599 | 602 | This class is used to find data files |
|
|
600 | 603 | |
|
|
601 | 604 | Example: |
|
|
602 | 605 | reader = JRODataReader() |
|
|
603 | 606 | fileList = reader.findDataFiles() |
|
|
604 | 607 | |
|
|
605 | 608 | """ |
|
|
606 | 609 | pass |
|
|
607 | 610 | |
|
|
608 | 611 | def createObjByDefault(self): |
|
|
609 | 612 | """ |
|
|
610 | 613 | |
|
|
611 | 614 | """ |
|
|
612 | 615 | raise NotImplementedError |
|
|
613 | 616 | |
|
|
614 | 617 | def getBlockDimension(self): |
|
|
615 | 618 | |
|
|
616 | 619 | raise NotImplementedError |
|
|
617 | 620 | |
|
|
618 | 621 | def searchFilesOffLine(self, |
|
|
619 | 622 | path, |
|
|
620 | 623 | startDate=None, |
|
|
621 | 624 | endDate=None, |
|
|
622 | 625 | startTime=datetime.time(0, 0, 0), |
|
|
623 | 626 | endTime=datetime.time(23, 59, 59), |
|
|
624 | 627 | set=None, |
|
|
625 | 628 | expLabel='', |
|
|
626 | 629 | ext='.r', |
|
|
627 | 630 | cursor=None, |
|
|
628 | 631 | skip=None, |
|
|
629 | 632 | walk=True): |
|
|
630 | 633 | |
|
|
631 | 634 | self.filenameList = [] |
|
|
632 | 635 | self.datetimeList = [] |
|
|
633 | 636 | |
|
|
634 | 637 | pathList = [] |
|
|
635 | 638 | |
|
|
636 | 639 | dateList, pathList = self.findDatafiles( |
|
|
637 | 640 | path, startDate, endDate, expLabel, ext, walk, include_path=True) |
|
|
638 | 641 | |
|
|
639 | 642 | if dateList == []: |
|
|
640 | 643 | return [], [] |
|
|
641 | 644 | |
|
|
642 | 645 | if len(dateList) > 1: |
|
|
643 | 646 | print "[Reading] Data found for date range [%s - %s]: total days = %d" % (startDate, endDate, len(dateList)) |
|
|
644 | 647 | else: |
|
|
645 | 648 | print "[Reading] Data found for date range [%s - %s]: date = %s" % (startDate, endDate, dateList[0]) |
|
|
646 | 649 | |
|
|
647 | 650 | filenameList = [] |
|
|
648 | 651 | datetimeList = [] |
|
|
649 | 652 | |
|
|
650 | 653 | for thisPath in pathList: |
|
|
651 | 654 | |
|
|
652 | 655 | fileList = glob.glob1(thisPath, "*%s" % ext) |
|
|
653 | 656 | fileList.sort() |
|
|
654 | 657 | |
|
|
655 | 658 | skippedFileList = [] |
|
|
656 | 659 | |
|
|
657 | 660 | if cursor is not None and skip is not None: |
|
|
658 | 661 | |
|
|
659 | 662 | if skip == 0: |
|
|
660 | 663 | skippedFileList = [] |
|
|
661 | 664 | else: |
|
|
662 | 665 | skippedFileList = fileList[cursor * |
|
|
663 | 666 | skip: cursor * skip + skip] |
|
|
664 | 667 | |
|
|
665 | 668 | else: |
|
|
666 | 669 | skippedFileList = fileList |
|
|
667 | 670 | |
|
|
668 | 671 | for file in skippedFileList: |
|
|
669 | 672 | |
|
|
670 | 673 | filename = os.path.join(thisPath, file) |
|
|
671 | 674 | |
|
|
672 | 675 | if not isFileInDateRange(filename, startDate, endDate): |
|
|
673 | 676 | continue |
|
|
674 | 677 | |
|
|
675 | 678 | thisDatetime = isFileInTimeRange( |
|
|
676 | 679 | filename, startDate, endDate, startTime, endTime) |
|
|
677 | 680 | |
|
|
678 | 681 | if not(thisDatetime): |
|
|
679 | 682 | continue |
|
|
680 | 683 | |
|
|
681 | 684 | filenameList.append(filename) |
|
|
682 | 685 | datetimeList.append(thisDatetime) |
|
|
683 | 686 | |
|
|
684 | 687 | if not(filenameList): |
|
|
685 | 688 | print "[Reading] Time range selected invalid [%s - %s]: No *%s files in %s)" % (startTime, endTime, ext, path) |
|
|
686 | 689 | return [], [] |
|
|
687 | 690 | |
|
|
688 | 691 | print "[Reading] %d file(s) was(were) found in time range: %s - %s" % (len(filenameList), startTime, endTime) |
|
|
689 | 692 | |
|
|
690 | 693 | |
|
|
691 | 694 | # for i in range(len(filenameList)): |
|
|
692 | 695 | # print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|
693 | 696 | |
|
|
694 | 697 | self.filenameList = filenameList |
|
|
695 | 698 | self.datetimeList = datetimeList |
|
|
696 | 699 | |
|
|
697 | 700 | return pathList, filenameList |
|
|
698 | 701 | |
|
|
699 | 702 | def __searchFilesOnLine(self, path, expLabel="", ext=None, walk=True, set=None): |
|
|
700 | 703 | """ |
|
|
701 | 704 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
702 | 705 | devuelve el archivo encontrado ademas de otros datos. |
|
|
703 | 706 | |
|
|
704 | 707 | Input: |
|
|
705 | 708 | path : carpeta donde estan contenidos los files que contiene data |
|
|
706 | 709 | |
|
|
707 | 710 | expLabel : Nombre del subexperimento (subfolder) |
|
|
708 | 711 | |
|
|
709 | 712 | ext : extension de los files |
|
|
710 | 713 | |
|
|
711 | 714 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
712 | 715 | |
|
|
713 | 716 | Return: |
|
|
714 | 717 | directory : eL directorio donde esta el file encontrado |
|
|
715 | 718 | filename : el ultimo file de una determinada carpeta |
|
|
716 | 719 | year : el anho |
|
|
717 | 720 | doy : el numero de dia del anho |
|
|
718 | 721 | set : el set del archivo |
|
|
719 | 722 | |
|
|
720 | 723 | |
|
|
721 | 724 | """ |
|
|
722 | 725 | if not os.path.isdir(path): |
|
|
723 | 726 | return None, None, None, None, None, None |
|
|
724 | 727 | |
|
|
725 | 728 | dirList = [] |
|
|
726 | 729 | |
|
|
727 | 730 | if not walk: |
|
|
728 | 731 | fullpath = path |
|
|
729 | 732 | foldercounter = 0 |
|
|
730 | 733 | else: |
|
|
731 | 734 | # Filtra solo los directorios |
|
|
732 | 735 | for thisPath in os.listdir(path): |
|
|
733 | 736 | if not os.path.isdir(os.path.join(path, thisPath)): |
|
|
734 | 737 | continue |
|
|
735 | 738 | if not isRadarFolder(thisPath): |
|
|
736 | 739 | continue |
|
|
737 | 740 | |
|
|
738 | 741 | dirList.append(thisPath) |
|
|
739 | 742 | |
|
|
740 | 743 | if not(dirList): |
|
|
741 | 744 | return None, None, None, None, None, None |
|
|
742 | 745 | |
|
|
743 | 746 | dirList = sorted(dirList, key=str.lower) |
|
|
744 | 747 | |
|
|
745 | 748 | doypath = dirList[-1] |
|
|
746 | 749 | foldercounter = int(doypath.split('_')[1]) if len( |
|
|
747 | 750 | doypath.split('_')) > 1 else 0 |
|
|
748 | 751 | fullpath = os.path.join(path, doypath, expLabel) |
|
|
749 | 752 | |
|
|
750 | 753 | print "[Reading] %s folder was found: " % (fullpath) |
|
|
751 | 754 | |
|
|
752 | 755 | if set == None: |
|
|
753 | 756 | filename = getlastFileFromPath(fullpath, ext) |
|
|
754 | 757 | else: |
|
|
755 | 758 | filename = getFileFromSet(fullpath, ext, set) |
|
|
756 | 759 | |
|
|
757 | 760 | if not(filename): |
|
|
758 | 761 | return None, None, None, None, None, None |
|
|
759 | 762 | |
|
|
760 | 763 | print "[Reading] %s file was found" % (filename) |
|
|
761 | 764 | |
|
|
762 | 765 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
|
763 | 766 | return None, None, None, None, None, None |
|
|
764 | 767 | |
|
|
765 | 768 | year = int(filename[1:5]) |
|
|
766 | 769 | doy = int(filename[5:8]) |
|
|
767 | 770 | set = int(filename[8:11]) |
|
|
768 | 771 | |
|
|
769 | 772 | return fullpath, foldercounter, filename, year, doy, set |
|
|
770 | 773 | |
|
|
771 | 774 | def __setNextFileOffline(self): |
|
|
772 | 775 | |
|
|
773 | 776 | idFile = self.fileIndex |
|
|
774 | 777 | |
|
|
775 | 778 | while (True): |
|
|
776 | 779 | idFile += 1 |
|
|
777 | 780 | if not(idFile < len(self.filenameList)): |
|
|
778 | 781 | self.flagNoMoreFiles = 1 |
|
|
779 | 782 | # print "[Reading] No more Files" |
|
|
780 | 783 | return 0 |
|
|
781 | 784 | |
|
|
782 | 785 | filename = self.filenameList[idFile] |
|
|
783 | 786 | |
|
|
784 | 787 | if not(self.__verifyFile(filename)): |
|
|
785 | 788 | continue |
|
|
786 | 789 | |
|
|
787 | 790 | fileSize = os.path.getsize(filename) |
|
|
788 | 791 | fp = open(filename, 'rb') |
|
|
789 | 792 | break |
|
|
790 | 793 | |
|
|
791 | 794 | self.flagIsNewFile = 1 |
|
|
792 | 795 | self.fileIndex = idFile |
|
|
793 | 796 | self.filename = filename |
|
|
794 | 797 | self.fileSize = fileSize |
|
|
795 | 798 | self.fp = fp |
|
|
796 | 799 | |
|
|
797 | 800 | # print "[Reading] Setting the file: %s"%self.filename |
|
|
798 | 801 | |
|
|
799 | 802 | return 1 |
|
|
800 | 803 | |
|
|
801 | 804 | def __setNextFileOnline(self): |
|
|
802 | 805 | """ |
|
|
803 | 806 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
804 | 807 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
805 | 808 | siguientes. |
|
|
806 | 809 | |
|
|
807 | 810 | Affected: |
|
|
808 | 811 | self.flagIsNewFile |
|
|
809 | 812 | self.filename |
|
|
810 | 813 | self.fileSize |
|
|
811 | 814 | self.fp |
|
|
812 | 815 | self.set |
|
|
813 | 816 | self.flagNoMoreFiles |
|
|
814 | 817 | |
|
|
815 | 818 | Return: |
|
|
816 | 819 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
817 | 820 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
818 | 821 | |
|
|
819 | 822 | Excepciones: |
|
|
820 | 823 | Si un determinado file no puede ser abierto |
|
|
821 | 824 | """ |
|
|
822 | 825 | nFiles = 0 |
|
|
823 | 826 | fileOk_flag = False |
|
|
824 | 827 | firstTime_flag = True |
|
|
825 | 828 | |
|
|
826 | 829 | self.set += 1 |
|
|
827 | 830 | |
|
|
828 | 831 | if self.set > 999: |
|
|
829 | 832 | self.set = 0 |
|
|
830 | 833 | self.foldercounter += 1 |
|
|
831 | 834 | |
|
|
832 | 835 | # busca el 1er file disponible |
|
|
833 | 836 | fullfilename, filename = checkForRealPath( |
|
|
834 | 837 | self.path, self.foldercounter, self.year, self.doy, self.set, self.ext) |
|
|
835 | 838 | if fullfilename: |
|
|
836 | 839 | if self.__verifyFile(fullfilename, False): |
|
|
837 | 840 | fileOk_flag = True |
|
|
838 | 841 | |
|
|
839 | 842 | # si no encuentra un file entonces espera y vuelve a buscar |
|
|
840 | 843 | if not(fileOk_flag): |
|
|
841 | 844 | # busco en los siguientes self.nFiles+1 files posibles |
|
|
842 | 845 | for nFiles in range(self.nFiles + 1): |
|
|
843 | 846 | |
|
|
844 | 847 | if firstTime_flag: # si es la 1era vez entonces hace el for self.nTries veces |
|
|
845 | 848 | tries = self.nTries |
|
|
846 | 849 | else: |
|
|
847 | 850 | tries = 1 # si no es la 1era vez entonces solo lo hace una vez |
|
|
848 | 851 | |
|
|
849 | 852 | for nTries in range(tries): |
|
|
850 | 853 | if firstTime_flag: |
|
|
851 | 854 | print "\t[Reading] Waiting %0.2f sec for the next file: \"%s\" , try %03d ..." % (self.delay, filename, nTries + 1) |
|
|
852 | 855 | sleep(self.delay) |
|
|
853 | 856 | else: |
|
|
854 | 857 | print "\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|
855 | 858 | |
|
|
856 | 859 | fullfilename, filename = checkForRealPath( |
|
|
857 | 860 | self.path, self.foldercounter, self.year, self.doy, self.set, self.ext) |
|
|
858 | 861 | if fullfilename: |
|
|
859 | 862 | if self.__verifyFile(fullfilename): |
|
|
860 | 863 | fileOk_flag = True |
|
|
861 | 864 | break |
|
|
862 | 865 | |
|
|
863 | 866 | if fileOk_flag: |
|
|
864 | 867 | break |
|
|
865 | 868 | |
|
|
866 | 869 | firstTime_flag = False |
|
|
867 | 870 | |
|
|
868 | 871 | print "\t[Reading] Skipping the file \"%s\" due to this file doesn't exist" % filename |
|
|
869 | 872 | self.set += 1 |
|
|
870 | 873 | |
|
|
871 | 874 | # si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
872 | 875 | if nFiles == (self.nFiles - 1): |
|
|
873 | 876 | self.set = 0 |
|
|
874 | 877 | self.doy += 1 |
|
|
875 | 878 | self.foldercounter = 0 |
|
|
876 | 879 | |
|
|
877 | 880 | if fileOk_flag: |
|
|
878 | 881 | self.fileSize = os.path.getsize(fullfilename) |
|
|
879 | 882 | self.filename = fullfilename |
|
|
880 | 883 | self.flagIsNewFile = 1 |
|
|
881 | 884 | if self.fp != None: |
|
|
882 | 885 | self.fp.close() |
|
|
883 | 886 | self.fp = open(fullfilename, 'rb') |
|
|
884 | 887 | self.flagNoMoreFiles = 0 |
|
|
885 | 888 | # print '[Reading] Setting the file: %s' % fullfilename |
|
|
886 | 889 | else: |
|
|
887 | 890 | self.fileSize = 0 |
|
|
888 | 891 | self.filename = None |
|
|
889 | 892 | self.flagIsNewFile = 0 |
|
|
890 | 893 | self.fp = None |
|
|
891 | 894 | self.flagNoMoreFiles = 1 |
|
|
892 | 895 | # print '[Reading] No more files to read' |
|
|
893 | 896 | |
|
|
894 | 897 | return fileOk_flag |
|
|
895 | 898 | |
|
|
896 | 899 | def setNextFile(self): |
|
|
897 | 900 | if self.fp != None: |
|
|
898 | 901 | self.fp.close() |
|
|
899 | 902 | |
|
|
900 | 903 | if self.online: |
|
|
901 | 904 | newFile = self.__setNextFileOnline() |
|
|
902 | 905 | else: |
|
|
903 | 906 | newFile = self.__setNextFileOffline() |
|
|
904 | 907 | |
|
|
905 | 908 | if not(newFile): |
|
|
906 | 909 | print '[Reading] No more files to read' |
|
|
907 | 910 | return 0 |
|
|
908 | 911 | |
|
|
909 | 912 | if self.verbose: |
|
|
910 | 913 | print '[Reading] Setting the file: %s' % self.filename |
|
|
911 | 914 | |
|
|
912 | 915 | self.__readFirstHeader() |
|
|
913 | 916 | self.nReadBlocks = 0 |
|
|
914 | 917 | return 1 |
|
|
915 | 918 | |
|
|
916 | 919 | def __waitNewBlock(self): |
|
|
917 | 920 | """ |
|
|
918 | 921 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
919 | 922 | |
|
|
920 | 923 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
921 | 924 | """ |
|
|
922 | 925 | if not self.online: |
|
|
923 | 926 | return 0 |
|
|
924 | 927 | |
|
|
925 | 928 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
926 | 929 | return 0 |
|
|
927 | 930 | |
|
|
928 | 931 | currentPointer = self.fp.tell() |
|
|
929 | 932 | |
|
|
930 | 933 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
931 | 934 | |
|
|
932 | 935 | for nTries in range(self.nTries): |
|
|
933 | 936 | |
|
|
934 | 937 | self.fp.close() |
|
|
935 | 938 | self.fp = open(self.filename, 'rb') |
|
|
936 | 939 | self.fp.seek(currentPointer) |
|
|
937 | 940 | |
|
|
938 | 941 | self.fileSize = os.path.getsize(self.filename) |
|
|
939 | 942 | currentSize = self.fileSize - currentPointer |
|
|
940 | 943 | |
|
|
941 | 944 | if (currentSize >= neededSize): |
|
|
942 | 945 | self.basicHeaderObj.read(self.fp) |
|
|
943 | 946 | return 1 |
|
|
944 | 947 | |
|
|
945 | 948 | if self.fileSize == self.fileSizeByHeader: |
|
|
946 | 949 | # self.flagEoF = True |
|
|
947 | 950 | return 0 |
|
|
948 | 951 | |
|
|
949 | 952 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1) |
|
|
950 | 953 | sleep(self.delay) |
|
|
951 | 954 | |
|
|
952 | 955 | return 0 |
|
|
953 | 956 | |
|
|
954 | 957 | def waitDataBlock(self, pointer_location): |
|
|
955 | 958 | |
|
|
956 | 959 | currentPointer = pointer_location |
|
|
957 | 960 | |
|
|
958 | 961 | neededSize = self.processingHeaderObj.blockSize # + self.basicHeaderSize |
|
|
959 | 962 | |
|
|
960 | 963 | for nTries in range(self.nTries): |
|
|
961 | 964 | self.fp.close() |
|
|
962 | 965 | self.fp = open(self.filename, 'rb') |
|
|
963 | 966 | self.fp.seek(currentPointer) |
|
|
964 | 967 | |
|
|
965 | 968 | self.fileSize = os.path.getsize(self.filename) |
|
|
966 | 969 | currentSize = self.fileSize - currentPointer |
|
|
967 | 970 | |
|
|
968 | 971 | if (currentSize >= neededSize): |
|
|
969 | 972 | return 1 |
|
|
970 | 973 | |
|
|
971 | 974 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1) |
|
|
972 | 975 | sleep(self.delay) |
|
|
973 | 976 | |
|
|
974 | 977 | return 0 |
|
|
975 | 978 | |
|
|
976 | 979 | def __jumpToLastBlock(self): |
|
|
977 | 980 | |
|
|
978 | 981 | if not(self.__isFirstTimeOnline): |
|
|
979 | 982 | return |
|
|
980 | 983 | |
|
|
981 | 984 | csize = self.fileSize - self.fp.tell() |
|
|
982 | 985 | blocksize = self.processingHeaderObj.blockSize |
|
|
983 | 986 | |
|
|
984 | 987 | # salta el primer bloque de datos |
|
|
985 | 988 | if csize > self.processingHeaderObj.blockSize: |
|
|
986 | 989 | self.fp.seek(self.fp.tell() + blocksize) |
|
|
987 | 990 | else: |
|
|
988 | 991 | return |
|
|
989 | 992 | |
|
|
990 | 993 | csize = self.fileSize - self.fp.tell() |
|
|
991 | 994 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
992 | 995 | while True: |
|
|
993 | 996 | |
|
|
994 | 997 | if self.fp.tell() < self.fileSize: |
|
|
995 | 998 | self.fp.seek(self.fp.tell() + neededsize) |
|
|
996 | 999 | else: |
|
|
997 | 1000 | self.fp.seek(self.fp.tell() - neededsize) |
|
|
998 | 1001 | break |
|
|
999 | 1002 | |
|
|
1000 | 1003 | # csize = self.fileSize - self.fp.tell() |
|
|
1001 | 1004 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
1002 | 1005 | # factor = int(csize/neededsize) |
|
|
1003 | 1006 | # if factor > 0: |
|
|
1004 | 1007 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
|
1005 | 1008 | |
|
|
1006 | 1009 | self.flagIsNewFile = 0 |
|
|
1007 | 1010 | self.__isFirstTimeOnline = 0 |
|
|
1008 | 1011 | |
|
|
1009 | 1012 | def __setNewBlock(self): |
|
|
1010 | 1013 | # if self.server is None: |
|
|
1011 | 1014 | if self.fp == None: |
|
|
1012 | 1015 | return 0 |
|
|
1013 | 1016 | |
|
|
1014 | 1017 | # if self.online: |
|
|
1015 | 1018 | # self.__jumpToLastBlock() |
|
|
1016 | 1019 | |
|
|
1017 | 1020 | if self.flagIsNewFile: |
|
|
1018 | 1021 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1019 | 1022 | return 1 |
|
|
1020 | 1023 | |
|
|
1021 | 1024 | if self.realtime: |
|
|
1022 | 1025 | self.flagDiscontinuousBlock = 1 |
|
|
1023 | 1026 | if not(self.setNextFile()): |
|
|
1024 | 1027 | return 0 |
|
|
1025 | 1028 | else: |
|
|
1026 | 1029 | return 1 |
|
|
1027 | 1030 | # if self.server is None: |
|
|
1028 | 1031 | currentSize = self.fileSize - self.fp.tell() |
|
|
1029 | 1032 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
1030 | 1033 | if (currentSize >= neededSize): |
|
|
1031 | 1034 | self.basicHeaderObj.read(self.fp) |
|
|
1032 | 1035 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1033 | 1036 | return 1 |
|
|
1034 | 1037 | # else: |
|
|
1035 | 1038 | # self.basicHeaderObj.read(self.zHeader) |
|
|
1036 | 1039 | # self.lastUTTime = self.basicHeaderObj.utc |
|
|
1037 | 1040 | # return 1 |
|
|
1038 | 1041 | if self.__waitNewBlock(): |
|
|
1039 | 1042 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1040 | 1043 | return 1 |
|
|
1041 | 1044 | # if self.server is None: |
|
|
1042 | 1045 | if not(self.setNextFile()): |
|
|
1043 | 1046 | return 0 |
|
|
1044 | 1047 | |
|
|
1045 | 1048 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime |
|
|
1046 | 1049 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1047 | 1050 | |
|
|
1048 | 1051 | self.flagDiscontinuousBlock = 0 |
|
|
1049 | 1052 | |
|
|
1050 | 1053 | if deltaTime > self.maxTimeStep: |
|
|
1051 | 1054 | self.flagDiscontinuousBlock = 1 |
|
|
1052 | 1055 | |
|
|
1053 | 1056 | return 1 |
|
|
1054 | 1057 | |
|
|
1055 | 1058 | def readNextBlock(self): |
|
|
1056 | 1059 | |
|
|
1057 | 1060 | # Skip block out of startTime and endTime |
|
|
1058 | 1061 | while True: |
|
|
1059 | 1062 | if not(self.__setNewBlock()): |
|
|
1060 | 1063 | return 0 |
|
|
1061 | 1064 | |
|
|
1062 | 1065 | if not(self.readBlock()): |
|
|
1063 | 1066 | return 0 |
|
|
1064 | 1067 | |
|
|
1065 | 1068 | self.getBasicHeader() |
|
|
1066 | 1069 | if (self.dataOut.datatime < datetime.datetime.combine(self.startDate, self.startTime)) or (self.dataOut.datatime > datetime.datetime.combine(self.endDate, self.endTime)): |
|
|
1067 | 1070 | print "[Reading] Block No. %d/%d -> %s [Skipping]" % (self.nReadBlocks, |
|
|
1068 | 1071 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1069 | 1072 | self.dataOut.datatime.ctime()) |
|
|
1070 | 1073 | continue |
|
|
1071 | 1074 | |
|
|
1072 | 1075 | break |
|
|
1073 | 1076 | |
|
|
1074 | 1077 | if self.verbose: |
|
|
1075 | 1078 | print "[Reading] Block No. %d/%d -> %s" % (self.nReadBlocks, |
|
|
1076 | 1079 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1077 | 1080 | self.dataOut.datatime.ctime()) |
|
|
1078 | 1081 | return 1 |
|
|
1079 | 1082 | |
|
|
1080 | 1083 | def __readFirstHeader(self): |
|
|
1081 | 1084 | |
|
|
1082 | 1085 | self.basicHeaderObj.read(self.fp) |
|
|
1083 | 1086 | self.systemHeaderObj.read(self.fp) |
|
|
1084 | 1087 | self.radarControllerHeaderObj.read(self.fp) |
|
|
1085 | 1088 | self.processingHeaderObj.read(self.fp) |
|
|
1086 | 1089 | |
|
|
1087 | 1090 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
1088 | 1091 | |
|
|
1089 | 1092 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & |
|
|
1090 | 1093 | PROCFLAG.DATATYPE_MASK)) - numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
1091 | 1094 | if datatype == 0: |
|
|
1092 | 1095 | datatype_str = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
1093 | 1096 | elif datatype == 1: |
|
|
1094 | 1097 | datatype_str = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
1095 | 1098 | elif datatype == 2: |
|
|
1096 | 1099 | datatype_str = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
1097 | 1100 | elif datatype == 3: |
|
|
1098 | 1101 | datatype_str = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
1099 | 1102 | elif datatype == 4: |
|
|
1100 | 1103 | datatype_str = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
1101 | 1104 | elif datatype == 5: |
|
|
1102 | 1105 | datatype_str = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
1103 | 1106 | else: |
|
|
1104 | 1107 | raise ValueError, 'Data type was not defined' |
|
|
1105 | 1108 | |
|
|
1106 | 1109 | self.dtype = datatype_str |
|
|
1107 | 1110 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
1108 | 1111 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + \ |
|
|
1109 | 1112 | self.firstHeaderSize + self.basicHeaderSize * \ |
|
|
1110 | 1113 | (self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
1111 | 1114 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1112 | 1115 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1113 | 1116 | self.getBlockDimension() |
|
|
1114 | 1117 | |
|
|
1115 | 1118 | def __verifyFile(self, filename, msgFlag=True): |
|
|
1116 | 1119 | |
|
|
1117 | 1120 | msg = None |
|
|
1118 | 1121 | |
|
|
1119 | 1122 | try: |
|
|
1120 | 1123 | fp = open(filename, 'rb') |
|
|
1121 | 1124 | except IOError: |
|
|
1122 | 1125 | |
|
|
1123 | 1126 | if msgFlag: |
|
|
1124 | 1127 | print "[Reading] File %s can't be opened" % (filename) |
|
|
1125 | 1128 | |
|
|
1126 | 1129 | return False |
|
|
1127 | 1130 | |
|
|
1128 | 1131 | currentPosition = fp.tell() |
|
|
1129 | 1132 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
1130 | 1133 | |
|
|
1131 | 1134 | if neededSize == 0: |
|
|
1132 | 1135 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
1133 | 1136 | systemHeaderObj = SystemHeader() |
|
|
1134 | 1137 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
1135 | 1138 | processingHeaderObj = ProcessingHeader() |
|
|
1136 | 1139 | |
|
|
1137 | 1140 | if not(basicHeaderObj.read(fp)): |
|
|
1138 | 1141 | fp.close() |
|
|
1139 | 1142 | return False |
|
|
1140 | 1143 | |
|
|
1141 | 1144 | if not(systemHeaderObj.read(fp)): |
|
|
1142 | 1145 | fp.close() |
|
|
1143 | 1146 | return False |
|
|
1144 | 1147 | |
|
|
1145 | 1148 | if not(radarControllerHeaderObj.read(fp)): |
|
|
1146 | 1149 | fp.close() |
|
|
1147 | 1150 | return False |
|
|
1148 | 1151 | |
|
|
1149 | 1152 | if not(processingHeaderObj.read(fp)): |
|
|
1150 | 1153 | fp.close() |
|
|
1151 | 1154 | return False |
|
|
1152 | 1155 | |
|
|
1153 | 1156 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
1154 | 1157 | else: |
|
|
1155 | 1158 | msg = "[Reading] Skipping the file %s due to it hasn't enough data" % filename |
|
|
1156 | 1159 | |
|
|
1157 | 1160 | fp.close() |
|
|
1158 | 1161 | |
|
|
1159 | 1162 | fileSize = os.path.getsize(filename) |
|
|
1160 | 1163 | currentSize = fileSize - currentPosition |
|
|
1161 | 1164 | |
|
|
1162 | 1165 | if currentSize < neededSize: |
|
|
1163 | 1166 | if msgFlag and (msg != None): |
|
|
1164 | 1167 | print msg |
|
|
1165 | 1168 | return False |
|
|
1166 | 1169 | |
|
|
1167 | 1170 | return True |
|
|
1168 | 1171 | |
|
|
1169 | 1172 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): |
|
|
1170 | 1173 | |
|
|
1171 | 1174 | path_empty = True |
|
|
1172 | 1175 | |
|
|
1173 | 1176 | dateList = [] |
|
|
1174 | 1177 | pathList = [] |
|
|
1175 | 1178 | |
|
|
1176 | 1179 | multi_path = path.split(',') |
|
|
1177 | 1180 | |
|
|
1178 | 1181 | if not walk: |
|
|
1179 | 1182 | |
|
|
1180 | 1183 | for single_path in multi_path: |
|
|
1181 | 1184 | |
|
|
1182 | 1185 | if not os.path.isdir(single_path): |
|
|
1183 | 1186 | continue |
|
|
1184 | 1187 | |
|
|
1185 | 1188 | fileList = glob.glob1(single_path, "*" + ext) |
|
|
1186 | 1189 | |
|
|
1187 | 1190 | if not fileList: |
|
|
1188 | 1191 | continue |
|
|
1189 | 1192 | |
|
|
1190 | 1193 | path_empty = False |
|
|
1191 | 1194 | |
|
|
1192 | 1195 | fileList.sort() |
|
|
1193 | 1196 | |
|
|
1194 | 1197 | for thisFile in fileList: |
|
|
1195 | 1198 | |
|
|
1196 | 1199 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
|
1197 | 1200 | continue |
|
|
1198 | 1201 | |
|
|
1199 | 1202 | if not isRadarFile(thisFile): |
|
|
1200 | 1203 | continue |
|
|
1201 | 1204 | |
|
|
1202 | 1205 | if not isFileInDateRange(thisFile, startDate, endDate): |
|
|
1203 | 1206 | continue |
|
|
1204 | 1207 | |
|
|
1205 | 1208 | thisDate = getDateFromRadarFile(thisFile) |
|
|
1206 | 1209 | |
|
|
1207 | 1210 | if thisDate in dateList: |
|
|
1208 | 1211 | continue |
|
|
1209 | 1212 | |
|
|
1210 | 1213 | dateList.append(thisDate) |
|
|
1211 | 1214 | pathList.append(single_path) |
|
|
1212 | 1215 | |
|
|
1213 | 1216 | else: |
|
|
1214 | 1217 | for single_path in multi_path: |
|
|
1215 | 1218 | |
|
|
1216 | 1219 | if not os.path.isdir(single_path): |
|
|
1217 | 1220 | continue |
|
|
1218 | 1221 | |
|
|
1219 | 1222 | dirList = [] |
|
|
1220 | 1223 | |
|
|
1221 | 1224 | for thisPath in os.listdir(single_path): |
|
|
1222 | 1225 | |
|
|
1223 | 1226 | if not os.path.isdir(os.path.join(single_path, thisPath)): |
|
|
1224 | 1227 | continue |
|
|
1225 | 1228 | |
|
|
1226 | 1229 | if not isRadarFolder(thisPath): |
|
|
1227 | 1230 | continue |
|
|
1228 | 1231 | |
|
|
1229 | 1232 | if not isFolderInDateRange(thisPath, startDate, endDate): |
|
|
1230 | 1233 | continue |
|
|
1231 | 1234 | |
|
|
1232 | 1235 | dirList.append(thisPath) |
|
|
1233 | 1236 | |
|
|
1234 | 1237 | if not dirList: |
|
|
1235 | 1238 | continue |
|
|
1236 | 1239 | |
|
|
1237 | 1240 | dirList.sort() |
|
|
1238 | 1241 | |
|
|
1239 | 1242 | for thisDir in dirList: |
|
|
1240 | 1243 | |
|
|
1241 | 1244 | datapath = os.path.join(single_path, thisDir, expLabel) |
|
|
1242 | 1245 | fileList = glob.glob1(datapath, "*" + ext) |
|
|
1243 | 1246 | |
|
|
1244 | 1247 | if not fileList: |
|
|
1245 | 1248 | continue |
|
|
1246 | 1249 | |
|
|
1247 | 1250 | path_empty = False |
|
|
1248 | 1251 | |
|
|
1249 | 1252 | thisDate = getDateFromRadarFolder(thisDir) |
|
|
1250 | 1253 | |
|
|
1251 | 1254 | pathList.append(datapath) |
|
|
1252 | 1255 | dateList.append(thisDate) |
|
|
1253 | 1256 | |
|
|
1254 | 1257 | dateList.sort() |
|
|
1255 | 1258 | |
|
|
1256 | 1259 | if walk: |
|
|
1257 | 1260 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) |
|
|
1258 | 1261 | else: |
|
|
1259 | 1262 | pattern_path = multi_path[0] |
|
|
1260 | 1263 | |
|
|
1261 | 1264 | if path_empty: |
|
|
1262 | 1265 | print "[Reading] No *%s files in %s for %s to %s" % (ext, pattern_path, startDate, endDate) |
|
|
1263 | 1266 | else: |
|
|
1264 | 1267 | if not dateList: |
|
|
1265 | 1268 | print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" % (startDate, endDate, ext, path) |
|
|
1266 | 1269 | |
|
|
1267 | 1270 | if include_path: |
|
|
1268 | 1271 | return dateList, pathList |
|
|
1269 | 1272 | |
|
|
1270 | 1273 | return dateList |
|
|
1271 | 1274 | |
|
|
1272 | 1275 | def setup(self, |
|
|
1273 | 1276 | path=None, |
|
|
1274 | 1277 | startDate=None, |
|
|
1275 | 1278 | endDate=None, |
|
|
1276 | 1279 | startTime=datetime.time(0, 0, 0), |
|
|
1277 | 1280 | endTime=datetime.time(23, 59, 59), |
|
|
1278 | 1281 | set=None, |
|
|
1279 | 1282 | expLabel="", |
|
|
1280 | 1283 | ext=None, |
|
|
1281 | 1284 | online=False, |
|
|
1282 | 1285 | delay=60, |
|
|
1283 | 1286 | walk=True, |
|
|
1284 | 1287 | getblock=False, |
|
|
1285 | 1288 | nTxs=1, |
|
|
1286 | 1289 | realtime=False, |
|
|
1287 | 1290 | blocksize=None, |
|
|
1288 | 1291 | blocktime=None, |
|
|
1289 | 1292 | skip=None, |
|
|
1290 | 1293 | cursor=None, |
|
|
1291 | 1294 | warnings=True, |
|
|
1292 | 1295 | verbose=True, |
|
|
1293 | 1296 | server=None, |
|
|
1294 | 1297 | format=None, |
|
|
1295 | 1298 | oneDDict=None, |
|
|
1296 | 1299 | twoDDict=None, |
|
|
1297 | 1300 | ind2DList=None): |
|
|
1298 | 1301 | if server is not None: |
|
|
1299 | 1302 | if 'tcp://' in server: |
|
|
1300 | 1303 | address = server |
|
|
1301 | 1304 | else: |
|
|
1302 | 1305 | address = 'ipc:///tmp/%s' % server |
|
|
1303 | 1306 | self.server = address |
|
|
1304 | 1307 | self.context = zmq.Context() |
|
|
1305 | 1308 | self.receiver = self.context.socket(zmq.PULL) |
|
|
1306 | 1309 | self.receiver.connect(self.server) |
|
|
1307 | 1310 | time.sleep(0.5) |
|
|
1308 | 1311 | print '[Starting] ReceiverData from {}'.format(self.server) |
|
|
1309 | 1312 | else: |
|
|
1310 | 1313 | self.server = None |
|
|
1311 | 1314 | if path == None: |
|
|
1312 | 1315 | raise ValueError, "[Reading] The path is not valid" |
|
|
1313 | 1316 | |
|
|
1314 | 1317 | if ext == None: |
|
|
1315 | 1318 | ext = self.ext |
|
|
1316 | 1319 | |
|
|
1317 | 1320 | if online: |
|
|
1318 | 1321 | print "[Reading] Searching files in online mode..." |
|
|
1319 | 1322 | |
|
|
1320 | 1323 | for nTries in range(self.nTries): |
|
|
1321 | 1324 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine( |
|
|
1322 | 1325 | path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
|
1323 | 1326 | |
|
|
1324 | 1327 | if fullpath: |
|
|
1325 | 1328 | break |
|
|
1326 | 1329 | |
|
|
1327 | 1330 | print '[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries + 1) |
|
|
1328 | 1331 | sleep(self.delay) |
|
|
1329 | 1332 | |
|
|
1330 | 1333 | if not(fullpath): |
|
|
1331 | 1334 | print "[Reading] There 'isn't any valid file in %s" % path |
|
|
1332 | 1335 | return |
|
|
1333 | 1336 | |
|
|
1334 | 1337 | self.year = year |
|
|
1335 | 1338 | self.doy = doy |
|
|
1336 | 1339 | self.set = set - 1 |
|
|
1337 | 1340 | self.path = path |
|
|
1338 | 1341 | self.foldercounter = foldercounter |
|
|
1339 | 1342 | last_set = None |
|
|
1340 | 1343 | else: |
|
|
1341 | 1344 | print "[Reading] Searching files in offline mode ..." |
|
|
1342 | 1345 | pathList, filenameList = self.searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|
1343 | 1346 | startTime=startTime, endTime=endTime, |
|
|
1344 | 1347 | set=set, expLabel=expLabel, ext=ext, |
|
|
1345 | 1348 | walk=walk, cursor=cursor, |
|
|
1346 | 1349 | skip=skip) |
|
|
1347 | 1350 | |
|
|
1348 | 1351 | if not(pathList): |
|
|
1349 | 1352 | self.fileIndex = -1 |
|
|
1350 | 1353 | self.pathList = [] |
|
|
1351 | 1354 | self.filenameList = [] |
|
|
1352 | 1355 | return |
|
|
1353 | 1356 | |
|
|
1354 | 1357 | self.fileIndex = -1 |
|
|
1355 | 1358 | self.pathList = pathList |
|
|
1356 | 1359 | self.filenameList = filenameList |
|
|
1357 | 1360 | file_name = os.path.basename(filenameList[-1]) |
|
|
1358 | 1361 | basename, ext = os.path.splitext(file_name) |
|
|
1359 | 1362 | last_set = int(basename[-3:]) |
|
|
1360 | 1363 | |
|
|
1361 | 1364 | self.online = online |
|
|
1362 | 1365 | self.realtime = realtime |
|
|
1363 | 1366 | self.delay = delay |
|
|
1364 | 1367 | ext = ext.lower() |
|
|
1365 | 1368 | self.ext = ext |
|
|
1366 | 1369 | self.getByBlock = getblock |
|
|
1367 | 1370 | self.nTxs = nTxs |
|
|
1368 | 1371 | self.startTime = startTime |
|
|
1369 | 1372 | self.endTime = endTime |
|
|
1370 | 1373 | self.endDate = endDate |
|
|
1371 | 1374 | self.startDate = startDate |
|
|
1372 | 1375 | # Added----------------- |
|
|
1373 | 1376 | self.selBlocksize = blocksize |
|
|
1374 | 1377 | self.selBlocktime = blocktime |
|
|
1375 | 1378 | |
|
|
1376 | 1379 | # Verbose----------- |
|
|
1377 | 1380 | self.verbose = verbose |
|
|
1378 | 1381 | self.warnings = warnings |
|
|
1379 | 1382 | |
|
|
1380 | 1383 | if not(self.setNextFile()): |
|
|
1381 | 1384 | if (startDate != None) and (endDate != None): |
|
|
1382 | 1385 | print "[Reading] No files in range: %s - %s" % (datetime.datetime.combine(startDate, startTime).ctime(), datetime.datetime.combine(endDate, endTime).ctime()) |
|
|
1383 | 1386 | elif startDate != None: |
|
|
1384 | 1387 | print "[Reading] No files in range: %s" % (datetime.datetime.combine(startDate, startTime).ctime()) |
|
|
1385 | 1388 | else: |
|
|
1386 | 1389 | print "[Reading] No files" |
|
|
1387 | 1390 | |
|
|
1388 | 1391 | self.fileIndex = -1 |
|
|
1389 | 1392 | self.pathList = [] |
|
|
1390 | 1393 | self.filenameList = [] |
|
|
1391 | 1394 | return |
|
|
1392 | 1395 | |
|
|
1393 | 1396 | # self.getBasicHeader() |
|
|
1394 | 1397 | |
|
|
1395 | 1398 | if last_set != None: |
|
|
1396 | 1399 | self.dataOut.last_block = last_set * \ |
|
|
1397 | 1400 | self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
|
1398 | 1401 | return |
|
|
1399 | 1402 | |
|
|
1400 | 1403 | def getBasicHeader(self): |
|
|
1401 | 1404 | |
|
|
1402 | 1405 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond / \ |
|
|
1403 | 1406 | 1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1404 | 1407 | |
|
|
1405 | 1408 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
1406 | 1409 | |
|
|
1407 | 1410 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1408 | 1411 | |
|
|
1409 | 1412 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1410 | 1413 | |
|
|
1411 | 1414 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1412 | 1415 | |
|
|
1413 | 1416 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1414 | 1417 | |
|
|
1415 | 1418 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds / self.nTxs |
|
|
1416 | 1419 | |
|
|
1417 | 1420 | # self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
1418 | 1421 | |
|
|
1419 | 1422 | def getFirstHeader(self): |
|
|
1420 | 1423 | |
|
|
1421 | 1424 | raise NotImplementedError |
|
|
1422 | 1425 | |
|
|
1423 | 1426 | def getData(self): |
|
|
1424 | 1427 | |
|
|
1425 | 1428 | raise NotImplementedError |
|
|
1426 | 1429 | |
|
|
1427 | 1430 | def hasNotDataInBuffer(self): |
|
|
1428 | 1431 | |
|
|
1429 | 1432 | raise NotImplementedError |
|
|
1430 | 1433 | |
|
|
1431 | 1434 | def readBlock(self): |
|
|
1432 | 1435 | |
|
|
1433 | 1436 | raise NotImplementedError |
|
|
1434 | 1437 | |
|
|
1435 | 1438 | def isEndProcess(self): |
|
|
1436 | 1439 | |
|
|
1437 | 1440 | return self.flagNoMoreFiles |
|
|
1438 | 1441 | |
|
|
1439 | 1442 | def printReadBlocks(self): |
|
|
1440 | 1443 | |
|
|
1441 | 1444 | print "[Reading] Number of read blocks per file %04d" % self.nReadBlocks |
|
|
1442 | 1445 | |
|
|
1443 | 1446 | def printTotalBlocks(self): |
|
|
1444 | 1447 | |
|
|
1445 | 1448 | print "[Reading] Number of read blocks %04d" % self.nTotalBlocks |
|
|
1446 | 1449 | |
|
|
1447 | 1450 | def printNumberOfBlock(self): |
|
|
1448 | 1451 | 'SPAM!' |
|
|
1449 | 1452 | |
|
|
1450 | 1453 | # if self.flagIsNewBlock: |
|
|
1451 | 1454 | # print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, |
|
|
1452 | 1455 | # self.processingHeaderObj.dataBlocksPerFile, |
|
|
1453 | 1456 | # self.dataOut.datatime.ctime()) |
|
|
1454 | 1457 | |
|
|
1455 | 1458 | def printInfo(self): |
|
|
1456 | 1459 | |
|
|
1457 | 1460 | if self.__printInfo == False: |
|
|
1458 | 1461 | return |
|
|
1459 | 1462 | |
|
|
1460 | 1463 | self.basicHeaderObj.printInfo() |
|
|
1461 | 1464 | self.systemHeaderObj.printInfo() |
|
|
1462 | 1465 | self.radarControllerHeaderObj.printInfo() |
|
|
1463 | 1466 | self.processingHeaderObj.printInfo() |
|
|
1464 | 1467 | |
|
|
1465 | 1468 | self.__printInfo = False |
|
|
1466 | 1469 | |
|
|
1467 | 1470 | def run(self, |
|
|
1468 | 1471 | path=None, |
|
|
1469 | 1472 | startDate=None, |
|
|
1470 | 1473 | endDate=None, |
|
|
1471 | 1474 | startTime=datetime.time(0, 0, 0), |
|
|
1472 | 1475 | endTime=datetime.time(23, 59, 59), |
|
|
1473 | 1476 | set=None, |
|
|
1474 | 1477 | expLabel="", |
|
|
1475 | 1478 | ext=None, |
|
|
1476 | 1479 | online=False, |
|
|
1477 | 1480 | delay=60, |
|
|
1478 | 1481 | walk=True, |
|
|
1479 | 1482 | getblock=False, |
|
|
1480 | 1483 | nTxs=1, |
|
|
1481 | 1484 | realtime=False, |
|
|
1482 | 1485 | blocksize=None, |
|
|
1483 | 1486 | blocktime=None, |
|
|
1484 | 1487 | skip=None, |
|
|
1485 | 1488 | cursor=None, |
|
|
1486 | 1489 | warnings=True, |
|
|
1487 | 1490 | server=None, |
|
|
1488 | 1491 | verbose=True, |
|
|
1489 | 1492 | format=None, |
|
|
1490 | 1493 | oneDDict=None, |
|
|
1491 | 1494 | twoDDict=None, |
|
|
1492 | 1495 | ind2DList=None, **kwargs): |
|
|
1493 | 1496 | |
|
|
1494 | 1497 | if not(self.isConfig): |
|
|
1495 | 1498 | self.setup(path=path, |
|
|
1496 | 1499 | startDate=startDate, |
|
|
1497 | 1500 | endDate=endDate, |
|
|
1498 | 1501 | startTime=startTime, |
|
|
1499 | 1502 | endTime=endTime, |
|
|
1500 | 1503 | set=set, |
|
|
1501 | 1504 | expLabel=expLabel, |
|
|
1502 | 1505 | ext=ext, |
|
|
1503 | 1506 | online=online, |
|
|
1504 | 1507 | delay=delay, |
|
|
1505 | 1508 | walk=walk, |
|
|
1506 | 1509 | getblock=getblock, |
|
|
1507 | 1510 | nTxs=nTxs, |
|
|
1508 | 1511 | realtime=realtime, |
|
|
1509 | 1512 | blocksize=blocksize, |
|
|
1510 | 1513 | blocktime=blocktime, |
|
|
1511 | 1514 | skip=skip, |
|
|
1512 | 1515 | cursor=cursor, |
|
|
1513 | 1516 | warnings=warnings, |
|
|
1514 | 1517 | server=server, |
|
|
1515 | 1518 | verbose=verbose, |
|
|
1516 | 1519 | format=format, |
|
|
1517 | 1520 | oneDDict=oneDDict, |
|
|
1518 | 1521 | twoDDict=twoDDict, |
|
|
1519 | 1522 | ind2DList=ind2DList) |
|
|
1520 | 1523 | self.isConfig = True |
|
|
1521 | 1524 | if server is None: |
|
|
1522 | 1525 | self.getData() |
|
|
1523 | 1526 | else: |
|
|
1524 | 1527 | self.getFromServer() |
|
|
1525 | 1528 | |
|
|
1526 | 1529 | |
|
|
1527 | 1530 | class JRODataWriter(JRODataIO): |
|
|
1528 | 1531 | |
|
|
1529 | 1532 | """ |
|
|
1530 | 1533 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1531 | 1534 | de los datos siempre se realiza por bloques. |
|
|
1532 | 1535 | """ |
|
|
1533 | 1536 | |
|
|
1534 | 1537 | blockIndex = 0 |
|
|
1535 | 1538 | |
|
|
1536 | 1539 | path = None |
|
|
1537 | 1540 | |
|
|
1538 | 1541 | setFile = None |
|
|
1539 | 1542 | |
|
|
1540 | 1543 | profilesPerBlock = None |
|
|
1541 | 1544 | |
|
|
1542 | 1545 | blocksPerFile = None |
|
|
1543 | 1546 | |
|
|
1544 | 1547 | nWriteBlocks = 0 |
|
|
1545 | 1548 | |
|
|
1546 | 1549 | fileDate = None |
|
|
1547 | 1550 | |
|
|
1548 | 1551 | def __init__(self, dataOut=None): |
|
|
1549 | 1552 | raise NotImplementedError |
|
|
1550 | 1553 | |
|
|
1551 | 1554 | def hasAllDataInBuffer(self): |
|
|
1552 | 1555 | raise NotImplementedError |
|
|
1553 | 1556 | |
|
|
1554 | 1557 | def setBlockDimension(self): |
|
|
1555 | 1558 | raise NotImplementedError |
|
|
1556 | 1559 | |
|
|
1557 | 1560 | def writeBlock(self): |
|
|
1558 | 1561 | raise NotImplementedError |
|
|
1559 | 1562 | |
|
|
1560 | 1563 | def putData(self): |
|
|
1561 | 1564 | raise NotImplementedError |
|
|
1562 | 1565 | |
|
|
1563 | 1566 | def getProcessFlags(self): |
|
|
1564 | 1567 | |
|
|
1565 | 1568 | processFlags = 0 |
|
|
1566 | 1569 | |
|
|
1567 | 1570 | dtype_index = get_dtype_index(self.dtype) |
|
|
1568 | 1571 | procflag_dtype = get_procflag_dtype(dtype_index) |
|
|
1569 | 1572 | |
|
|
1570 | 1573 | processFlags += procflag_dtype |
|
|
1571 | 1574 | |
|
|
1572 | 1575 | if self.dataOut.flagDecodeData: |
|
|
1573 | 1576 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1574 | 1577 | |
|
|
1575 | 1578 | if self.dataOut.flagDeflipData: |
|
|
1576 | 1579 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1577 | 1580 | |
|
|
1578 | 1581 | if self.dataOut.code is not None: |
|
|
1579 | 1582 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1580 | 1583 | |
|
|
1581 | 1584 | if self.dataOut.nCohInt > 1: |
|
|
1582 | 1585 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1583 | 1586 | |
|
|
1584 | 1587 | if self.dataOut.type == "Spectra": |
|
|
1585 | 1588 | if self.dataOut.nIncohInt > 1: |
|
|
1586 | 1589 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
1587 | 1590 | |
|
|
1588 | 1591 | if self.dataOut.data_dc is not None: |
|
|
1589 | 1592 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
1590 | 1593 | |
|
|
1591 | 1594 | if self.dataOut.flagShiftFFT: |
|
|
1592 | 1595 | processFlags += PROCFLAG.SHIFT_FFT_DATA |
|
|
1593 | 1596 | |
|
|
1594 | 1597 | return processFlags |
|
|
1595 | 1598 | |
|
|
1596 | 1599 | def setBasicHeader(self): |
|
|
1597 | 1600 | |
|
|
1598 | 1601 | self.basicHeaderObj.size = self.basicHeaderSize # bytes |
|
|
1599 | 1602 | self.basicHeaderObj.version = self.versionFile |
|
|
1600 | 1603 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1601 | 1604 | |
|
|
1602 | 1605 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1603 | 1606 | milisecond = (self.dataOut.utctime - utc) * 1000.0 |
|
|
1604 | 1607 | |
|
|
1605 | 1608 | self.basicHeaderObj.utc = utc |
|
|
1606 | 1609 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1607 | 1610 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1608 | 1611 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1609 | 1612 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1610 | 1613 | |
|
|
1611 | 1614 | def setFirstHeader(self): |
|
|
1612 | 1615 | """ |
|
|
1613 | 1616 | Obtiene una copia del First Header |
|
|
1614 | 1617 | |
|
|
1615 | 1618 | Affected: |
|
|
1616 | 1619 | |
|
|
1617 | 1620 | self.basicHeaderObj |
|
|
1618 | 1621 | self.systemHeaderObj |
|
|
1619 | 1622 | self.radarControllerHeaderObj |
|
|
1620 | 1623 | self.processingHeaderObj self. |
|
|
1621 | 1624 | |
|
|
1622 | 1625 | Return: |
|
|
1623 | 1626 | None |
|
|
1624 | 1627 | """ |
|
|
1625 | 1628 | |
|
|
1626 | 1629 | raise NotImplementedError |
|
|
1627 | 1630 | |
|
|
1628 | 1631 | def __writeFirstHeader(self): |
|
|
1629 | 1632 | """ |
|
|
1630 | 1633 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1631 | 1634 | |
|
|
1632 | 1635 | Affected: |
|
|
1633 | 1636 | __dataType |
|
|
1634 | 1637 | |
|
|
1635 | 1638 | Return: |
|
|
1636 | 1639 | None |
|
|
1637 | 1640 | """ |
|
|
1638 | 1641 | |
|
|
1639 | 1642 | # CALCULAR PARAMETROS |
|
|
1640 | 1643 | |
|
|
1641 | 1644 | sizeLongHeader = self.systemHeaderObj.size + \ |
|
|
1642 | 1645 | self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1643 | 1646 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1644 | 1647 | |
|
|
1645 | 1648 | self.basicHeaderObj.write(self.fp) |
|
|
1646 | 1649 | self.systemHeaderObj.write(self.fp) |
|
|
1647 | 1650 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1648 | 1651 | self.processingHeaderObj.write(self.fp) |
|
|
1649 | 1652 | |
|
|
1650 | 1653 | def __setNewBlock(self): |
|
|
1651 | 1654 | """ |
|
|
1652 | 1655 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1653 | 1656 | |
|
|
1654 | 1657 | Return: |
|
|
1655 | 1658 | 0 : si no pudo escribir nada |
|
|
1656 | 1659 | 1 : Si escribio el Basic el First Header |
|
|
1657 | 1660 | """ |
|
|
1658 | 1661 | if self.fp == None: |
|
|
1659 | 1662 | self.setNextFile() |
|
|
1660 | 1663 | |
|
|
1661 | 1664 | if self.flagIsNewFile: |
|
|
1662 | 1665 | return 1 |
|
|
1663 | 1666 | |
|
|
1664 | 1667 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1665 | 1668 | self.basicHeaderObj.write(self.fp) |
|
|
1666 | 1669 | return 1 |
|
|
1667 | 1670 | |
|
|
1668 | 1671 | if not(self.setNextFile()): |
|
|
1669 | 1672 | return 0 |
|
|
1670 | 1673 | |
|
|
1671 | 1674 | return 1 |
|
|
1672 | 1675 | |
|
|
1673 | 1676 | def writeNextBlock(self): |
|
|
1674 | 1677 | """ |
|
|
1675 | 1678 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1676 | 1679 | |
|
|
1677 | 1680 | Return: |
|
|
1678 | 1681 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1679 | 1682 | 1 : Si no pudo escribir el bloque de datos |
|
|
1680 | 1683 | """ |
|
|
1681 | 1684 | if not(self.__setNewBlock()): |
|
|
1682 | 1685 | return 0 |
|
|
1683 | 1686 | |
|
|
1684 | 1687 | self.writeBlock() |
|
|
1685 | 1688 | |
|
|
1686 | 1689 | print "[Writing] Block No. %d/%d" % (self.blockIndex, |
|
|
1687 | 1690 | self.processingHeaderObj.dataBlocksPerFile) |
|
|
1688 | 1691 | |
|
|
1689 | 1692 | return 1 |
|
|
1690 | 1693 | |
|
|
1691 | 1694 | def setNextFile(self): |
|
|
1692 | 1695 | """ |
|
|
1693 | 1696 | Determina el siguiente file que sera escrito |
|
|
1694 | 1697 | |
|
|
1695 | 1698 | Affected: |
|
|
1696 | 1699 | self.filename |
|
|
1697 | 1700 | self.subfolder |
|
|
1698 | 1701 | self.fp |
|
|
1699 | 1702 | self.setFile |
|
|
1700 | 1703 | self.flagIsNewFile |
|
|
1701 | 1704 | |
|
|
1702 | 1705 | Return: |
|
|
1703 | 1706 | 0 : Si el archivo no puede ser escrito |
|
|
1704 | 1707 | 1 : Si el archivo esta listo para ser escrito |
|
|
1705 | 1708 | """ |
|
|
1706 | 1709 | ext = self.ext |
|
|
1707 | 1710 | path = self.path |
|
|
1708 | 1711 | |
|
|
1709 | 1712 | if self.fp != None: |
|
|
1710 | 1713 | self.fp.close() |
|
|
1711 | 1714 | |
|
|
1712 | 1715 | timeTuple = time.localtime(self.dataOut.utctime) |
|
|
1713 | 1716 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year, timeTuple.tm_yday) |
|
|
1714 | 1717 | |
|
|
1715 | 1718 | fullpath = os.path.join(path, subfolder) |
|
|
1716 | 1719 | setFile = self.setFile |
|
|
1717 | 1720 | |
|
|
1718 | 1721 | if not(os.path.exists(fullpath)): |
|
|
1719 | 1722 | os.mkdir(fullpath) |
|
|
1720 | 1723 | setFile = -1 # inicializo mi contador de seteo |
|
|
1721 | 1724 | else: |
|
|
1722 | 1725 | filesList = os.listdir(fullpath) |
|
|
1723 | 1726 | if len(filesList) > 0: |
|
|
1724 | 1727 | filesList = sorted(filesList, key=str.lower) |
|
|
1725 | 1728 | filen = filesList[-1] |
|
|
1726 | 1729 | # el filename debera tener el siguiente formato |
|
|
1727 | 1730 | # 0 1234 567 89A BCDE (hex) |
|
|
1728 | 1731 | # x YYYY DDD SSS .ext |
|
|
1729 | 1732 | if isNumber(filen[8:11]): |
|
|
1730 | 1733 | # inicializo mi contador de seteo al seteo del ultimo file |
|
|
1731 | 1734 | setFile = int(filen[8:11]) |
|
|
1732 | 1735 | else: |
|
|
1733 | 1736 | setFile = -1 |
|
|
1734 | 1737 | else: |
|
|
1735 | 1738 | setFile = -1 # inicializo mi contador de seteo |
|
|
1736 | 1739 | |
|
|
1737 | 1740 | setFile += 1 |
|
|
1738 | 1741 | |
|
|
1739 | 1742 | # If this is a new day it resets some values |
|
|
1740 | 1743 | if self.dataOut.datatime.date() > self.fileDate: |
|
|
1741 | 1744 | setFile = 0 |
|
|
1742 | 1745 | self.nTotalBlocks = 0 |
|
|
1743 | 1746 | |
|
|
1744 | 1747 | filen = '%s%4.4d%3.3d%3.3d%s' % ( |
|
|
1745 | 1748 | self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext) |
|
|
1746 | 1749 | |
|
|
1747 | 1750 | filename = os.path.join(path, subfolder, filen) |
|
|
1748 | 1751 | |
|
|
1749 | 1752 | fp = open(filename, 'wb') |
|
|
1750 | 1753 | |
|
|
1751 | 1754 | self.blockIndex = 0 |
|
|
1752 | 1755 | |
|
|
1753 | 1756 | # guardando atributos |
|
|
1754 | 1757 | self.filename = filename |
|
|
1755 | 1758 | self.subfolder = subfolder |
|
|
1756 | 1759 | self.fp = fp |
|
|
1757 | 1760 | self.setFile = setFile |
|
|
1758 | 1761 | self.flagIsNewFile = 1 |
|
|
1759 | 1762 | self.fileDate = self.dataOut.datatime.date() |
|
|
1760 | 1763 | |
|
|
1761 | 1764 | self.setFirstHeader() |
|
|
1762 | 1765 | |
|
|
1763 | 1766 | print '[Writing] Opening file: %s' % self.filename |
|
|
1764 | 1767 | |
|
|
1765 | 1768 | self.__writeFirstHeader() |
|
|
1766 | 1769 | |
|
|
1767 | 1770 | return 1 |
|
|
1768 | 1771 | |
|
|
1769 | 1772 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): |
|
|
1770 | 1773 | """ |
|
|
1771 | 1774 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1772 | 1775 | |
|
|
1773 | 1776 | Inputs: |
|
|
1774 | 1777 | path : directory where data will be saved |
|
|
1775 | 1778 | profilesPerBlock : number of profiles per block |
|
|
1776 | 1779 | set : initial file set |
|
|
1777 | 1780 | datatype : An integer number that defines data type: |
|
|
1778 | 1781 | 0 : int8 (1 byte) |
|
|
1779 | 1782 | 1 : int16 (2 bytes) |
|
|
1780 | 1783 | 2 : int32 (4 bytes) |
|
|
1781 | 1784 | 3 : int64 (8 bytes) |
|
|
1782 | 1785 | 4 : float32 (4 bytes) |
|
|
1783 | 1786 | 5 : double64 (8 bytes) |
|
|
1784 | 1787 | |
|
|
1785 | 1788 | Return: |
|
|
1786 | 1789 | 0 : Si no realizo un buen seteo |
|
|
1787 | 1790 | 1 : Si realizo un buen seteo |
|
|
1788 | 1791 | """ |
|
|
1789 | 1792 | |
|
|
1790 | 1793 | if ext == None: |
|
|
1791 | 1794 | ext = self.ext |
|
|
1792 | 1795 | |
|
|
1793 | 1796 | self.ext = ext.lower() |
|
|
1794 | 1797 | |
|
|
1795 | 1798 | self.path = path |
|
|
1796 | 1799 | |
|
|
1797 | 1800 | if set is None: |
|
|
1798 | 1801 | self.setFile = -1 |
|
|
1799 | 1802 | else: |
|
|
1800 | 1803 | self.setFile = set - 1 |
|
|
1801 | 1804 | |
|
|
1802 | 1805 | self.blocksPerFile = blocksPerFile |
|
|
1803 | 1806 | |
|
|
1804 | 1807 | self.profilesPerBlock = profilesPerBlock |
|
|
1805 | 1808 | |
|
|
1806 | 1809 | self.dataOut = dataOut |
|
|
1807 | 1810 | self.fileDate = self.dataOut.datatime.date() |
|
|
1808 | 1811 | # By default |
|
|
1809 | 1812 | self.dtype = self.dataOut.dtype |
|
|
1810 | 1813 | |
|
|
1811 | 1814 | if datatype is not None: |
|
|
1812 | 1815 | self.dtype = get_numpy_dtype(datatype) |
|
|
1813 | 1816 | |
|
|
1814 | 1817 | if not(self.setNextFile()): |
|
|
1815 | 1818 | print "[Writing] There isn't a next file" |
|
|
1816 | 1819 | return 0 |
|
|
1817 | 1820 | |
|
|
1818 | 1821 | self.setBlockDimension() |
|
|
1819 | 1822 | |
|
|
1820 | 1823 | return 1 |
|
|
1821 | 1824 | |
|
|
1822 | 1825 | def run(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): |
|
|
1823 | 1826 | |
|
|
1824 | 1827 | if not(self.isConfig): |
|
|
1825 | 1828 | |
|
|
1826 | 1829 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, |
|
|
1827 | 1830 | set=set, ext=ext, datatype=datatype, **kwargs) |
|
|
1828 | 1831 | self.isConfig = True |
|
|
1829 | 1832 | |
|
|
1830 | 1833 | self.putData() |
| @@ -1,1182 +1,1180 | |||
|
|
1 | 1 | import os |
|
|
2 | 2 | import sys |
|
|
3 | 3 | import glob |
|
|
4 | 4 | import fnmatch |
|
|
5 | 5 | import datetime |
|
|
6 | 6 | import time |
|
|
7 | 7 | import re |
|
|
8 | 8 | import h5py |
|
|
9 | 9 | import numpy |
|
|
10 | 10 | |
|
|
11 | 11 | import pylab as plb |
|
|
12 | 12 | from scipy.optimize import curve_fit |
|
|
13 | 13 | from scipy import asarray as ar, exp |
|
|
14 | 14 | from scipy import stats |
|
|
15 | 15 | |
|
|
16 | 16 | from numpy.ma.core import getdata |
|
|
17 | 17 | |
|
|
18 | 18 | SPEED_OF_LIGHT = 299792458 |
|
|
19 | 19 | SPEED_OF_LIGHT = 3e8 |
|
|
20 | 20 | |
|
|
21 | 21 | try: |
|
|
22 | 22 | from gevent import sleep |
|
|
23 | 23 | except: |
|
|
24 | 24 | from time import sleep |
|
|
25 | 25 | |
|
|
26 | 26 | from schainpy.model.data.jrodata import Spectra |
|
|
27 | 27 | #from schainpy.model.data.BLTRheaderIO import FileHeader, RecordHeader |
|
|
28 | 28 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
29 | 29 | #from schainpy.model.io.jroIO_bltr import BLTRReader |
|
|
30 | 30 | from numpy import imag, shape, NaN |
|
|
31 | 31 | |
|
|
32 | 32 | from jroIO_base import JRODataReader |
|
|
33 | 33 | |
|
|
34 | 34 | |
|
|
35 | 35 | class Header(object): |
|
|
36 | 36 | |
|
|
37 | 37 | def __init__(self): |
|
|
38 | 38 | raise NotImplementedError |
|
|
39 | 39 | |
|
|
40 | 40 | def read(self): |
|
|
41 | 41 | |
|
|
42 | 42 | raise NotImplementedError |
|
|
43 | 43 | |
|
|
44 | 44 | def write(self): |
|
|
45 | 45 | |
|
|
46 | 46 | raise NotImplementedError |
|
|
47 | 47 | |
|
|
48 | 48 | def printInfo(self): |
|
|
49 | 49 | |
|
|
50 | 50 | message = "#" * 50 + "\n" |
|
|
51 | 51 | message += self.__class__.__name__.upper() + "\n" |
|
|
52 | 52 | message += "#" * 50 + "\n" |
|
|
53 | 53 | |
|
|
54 | 54 | keyList = self.__dict__.keys() |
|
|
55 | 55 | keyList.sort() |
|
|
56 | 56 | |
|
|
57 | 57 | for key in keyList: |
|
|
58 | 58 | message += "%s = %s" % (key, self.__dict__[key]) + "\n" |
|
|
59 | 59 | |
|
|
60 | 60 | if "size" not in keyList: |
|
|
61 | 61 | attr = getattr(self, "size") |
|
|
62 | 62 | |
|
|
63 | 63 | if attr: |
|
|
64 | 64 | message += "%s = %s" % ("size", attr) + "\n" |
|
|
65 | 65 | |
|
|
66 | 66 | # print message |
|
|
67 | 67 | |
|
|
68 | 68 | |
|
|
69 | 69 | FILE_STRUCTURE = numpy.dtype([ # HEADER 48bytes |
|
|
70 | 70 | ('FileMgcNumber', '<u4'), # 0x23020100 |
|
|
71 | 71 | # No Of FDT data records in this file (0 or more) |
|
|
72 | 72 | ('nFDTdataRecors', '<u4'), |
|
|
73 | 73 | ('OffsetStartHeader', '<u4'), |
|
|
74 | 74 | ('RadarUnitId', '<u4'), |
|
|
75 | 75 | ('SiteName', numpy.str_, 32), # Null terminated |
|
|
76 | 76 | ]) |
|
|
77 | 77 | |
|
|
78 | 78 | |
|
|
79 | 79 | class FileHeaderBLTR(Header): |
|
|
80 | 80 | |
|
|
81 | 81 | def __init__(self): |
|
|
82 | 82 | |
|
|
83 | 83 | self.FileMgcNumber = 0 # 0x23020100 |
|
|
84 | 84 | # No Of FDT data records in this file (0 or more) |
|
|
85 | 85 | self.nFDTdataRecors = 0 |
|
|
86 | 86 | self.RadarUnitId = 0 |
|
|
87 | 87 | self.OffsetStartHeader = 0 |
|
|
88 | 88 | self.SiteName = "" |
|
|
89 | 89 | self.size = 48 |
|
|
90 | 90 | |
|
|
91 | 91 | def FHread(self, fp): |
|
|
92 | 92 | # try: |
|
|
93 | 93 | startFp = open(fp, "rb") |
|
|
94 | 94 | |
|
|
95 | 95 | header = numpy.fromfile(startFp, FILE_STRUCTURE, 1) |
|
|
96 | 96 | |
|
|
97 | 97 | print ' ' |
|
|
98 | 98 | print 'puntero file header', startFp.tell() |
|
|
99 | 99 | print ' ' |
|
|
100 | 100 | |
|
|
101 | 101 | ''' numpy.fromfile(file, dtype, count, sep='') |
|
|
102 | 102 | file : file or str |
|
|
103 | 103 | Open file object or filename. |
|
|
104 | 104 | |
|
|
105 | 105 | dtype : data-type |
|
|
106 | 106 | Data type of the returned array. For binary files, it is used to determine |
|
|
107 | 107 | the size and byte-order of the items in the file. |
|
|
108 | 108 | |
|
|
109 | 109 | count : int |
|
|
110 | 110 | Number of items to read. -1 means all items (i.e., the complete file). |
|
|
111 | 111 | |
|
|
112 | 112 | sep : str |
|
|
113 | 113 | Separator between items if file is a text file. Empty ("") separator means |
|
|
114 | 114 | the file should be treated as binary. Spaces (" ") in the separator match zero |
|
|
115 | 115 | or more whitespace characters. A separator consisting only of spaces must match |
|
|
116 | 116 | at least one whitespace. |
|
|
117 | 117 | |
|
|
118 | 118 | ''' |
|
|
119 | 119 | |
|
|
120 | 120 | self.FileMgcNumber = hex(header['FileMgcNumber'][0]) |
|
|
121 | 121 | # No Of FDT data records in this file (0 or more) |
|
|
122 | 122 | self.nFDTdataRecors = int(header['nFDTdataRecors'][0]) |
|
|
123 | 123 | self.RadarUnitId = int(header['RadarUnitId'][0]) |
|
|
124 | 124 | self.OffsetStartHeader = int(header['OffsetStartHeader'][0]) |
|
|
125 | 125 | self.SiteName = str(header['SiteName'][0]) |
|
|
126 | 126 | |
|
|
127 | 127 | # print 'Numero de bloques', self.nFDTdataRecors |
|
|
128 | 128 | |
|
|
129 | 129 | if self.size < 48: |
|
|
130 | 130 | return 0 |
|
|
131 | 131 | |
|
|
132 | 132 | return 1 |
|
|
133 | 133 | |
|
|
134 | 134 | def write(self, fp): |
|
|
135 | 135 | |
|
|
136 | 136 | headerTuple = (self.FileMgcNumber, |
|
|
137 | 137 | self.nFDTdataRecors, |
|
|
138 | 138 | self.RadarUnitId, |
|
|
139 | 139 | self.SiteName, |
|
|
140 | 140 | self.size) |
|
|
141 | 141 | |
|
|
142 | 142 | header = numpy.array(headerTuple, FILE_STRUCTURE) |
|
|
143 | 143 | # numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) |
|
|
144 | 144 | header.tofile(fp) |
|
|
145 | 145 | ''' ndarray.tofile(fid, sep, format) Write array to a file as text or binary (default). |
|
|
146 | 146 | |
|
|
147 | 147 | fid : file or str |
|
|
148 | 148 | An open file object, or a string containing a filename. |
|
|
149 | 149 | |
|
|
150 | 150 | sep : str |
|
|
151 | 151 | Separator between array items for text output. If "" (empty), a binary file is written, |
|
|
152 | 152 | equivalent to file.write(a.tobytes()). |
|
|
153 | 153 | |
|
|
154 | 154 | format : str |
|
|
155 | 155 | Format string for text file output. Each entry in the array is formatted to text by |
|
|
156 | 156 | first converting it to the closest Python type, and then using "format" % item. |
|
|
157 | 157 | |
|
|
158 | 158 | ''' |
|
|
159 | 159 | |
|
|
160 | 160 | return 1 |
|
|
161 | 161 | |
|
|
162 | 162 | |
|
|
163 | 163 | RECORD_STRUCTURE = numpy.dtype([ # RECORD HEADER 180+20N bytes |
|
|
164 | 164 | ('RecMgcNumber', '<u4'), # 0x23030001 |
|
|
165 | 165 | ('RecCounter', '<u4'), # Record counter(0,1, ...) |
|
|
166 | 166 | # Offset to start of next record form start of this record |
|
|
167 | 167 | ('Off2StartNxtRec', '<u4'), |
|
|
168 | 168 | # Offset to start of data from start of this record |
|
|
169 | 169 | ('Off2StartData', '<u4'), |
|
|
170 | 170 | # Epoch time stamp of start of acquisition (seconds) |
|
|
171 | 171 | ('nUtime', '<i4'), |
|
|
172 | 172 | # Millisecond component of time stamp (0,...,999) |
|
|
173 | 173 | ('nMilisec', '<u4'), |
|
|
174 | 174 | # Experiment tag name (null terminated) |
|
|
175 | 175 | ('ExpTagName', numpy.str_, 32), |
|
|
176 | 176 | # Experiment comment (null terminated) |
|
|
177 | 177 | ('ExpComment', numpy.str_, 32), |
|
|
178 | 178 | # Site latitude (from GPS) in degrees (positive implies North) |
|
|
179 | 179 | ('SiteLatDegrees', '<f4'), |
|
|
180 | 180 | # Site longitude (from GPS) in degrees (positive implies East) |
|
|
181 | 181 | ('SiteLongDegrees', '<f4'), |
|
|
182 | 182 | # RTC GPS engine status (0=SEEK, 1=LOCK, 2=NOT FITTED, 3=UNAVAILABLE) |
|
|
183 | 183 | ('RTCgpsStatus', '<u4'), |
|
|
184 | 184 | ('TransmitFrec', '<u4'), # Transmit frequency (Hz) |
|
|
185 | 185 | ('ReceiveFrec', '<u4'), # Receive frequency |
|
|
186 | 186 | # First local oscillator frequency (Hz) |
|
|
187 | 187 | ('FirstOsciFrec', '<u4'), |
|
|
188 | 188 | # (0="O", 1="E", 2="linear 1", 3="linear2") |
|
|
189 | 189 | ('Polarisation', '<u4'), |
|
|
190 | 190 | # Receiver filter settings (0,1,2,3) |
|
|
191 | 191 | ('ReceiverFiltSett', '<u4'), |
|
|
192 | 192 | # Number of modes in use (1 or 2) |
|
|
193 | 193 | ('nModesInUse', '<u4'), |
|
|
194 | 194 | # Dual Mode index number for these data (0 or 1) |
|
|
195 | 195 | ('DualModeIndex', '<u4'), |
|
|
196 | 196 | # Dual Mode range correction for these data (m) |
|
|
197 | 197 | ('DualModeRange', '<u4'), |
|
|
198 | 198 | # Number of digital channels acquired (2*N) |
|
|
199 | 199 | ('nDigChannels', '<u4'), |
|
|
200 | 200 | # Sampling resolution (meters) |
|
|
201 | 201 | ('SampResolution', '<u4'), |
|
|
202 | 202 | # Number of range gates sampled |
|
|
203 | 203 | ('nHeights', '<u4'), |
|
|
204 | 204 | # Start range of sampling (meters) |
|
|
205 | 205 | ('StartRangeSamp', '<u4'), |
|
|
206 | 206 | ('PRFhz', '<u4'), # PRF (Hz) |
|
|
207 | 207 | ('nCohInt', '<u4'), # Integrations |
|
|
208 | 208 | # Number of data points transformed |
|
|
209 | 209 | ('nProfiles', '<u4'), |
|
|
210 | 210 | # Number of receive beams stored in file (1 or N) |
|
|
211 | 211 | ('nChannels', '<u4'), |
|
|
212 | 212 | ('nIncohInt', '<u4'), # Number of spectral averages |
|
|
213 | 213 | # FFT windowing index (0 = no window) |
|
|
214 | 214 | ('FFTwindowingInd', '<u4'), |
|
|
215 | 215 | # Beam steer angle (azimuth) in degrees (clockwise from true North) |
|
|
216 | 216 | ('BeamAngleAzim', '<f4'), |
|
|
217 | 217 | # Beam steer angle (zenith) in degrees (0=> vertical) |
|
|
218 | 218 | ('BeamAngleZen', '<f4'), |
|
|
219 | 219 | # Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
220 | 220 | ('AntennaCoord0', '<f4'), |
|
|
221 | 221 | # Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
222 | 222 | ('AntennaAngl0', '<f4'), |
|
|
223 | 223 | # Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
224 | 224 | ('AntennaCoord1', '<f4'), |
|
|
225 | 225 | # Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
226 | 226 | ('AntennaAngl1', '<f4'), |
|
|
227 | 227 | # Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
228 | 228 | ('AntennaCoord2', '<f4'), |
|
|
229 | 229 | # Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
230 | 230 | ('AntennaAngl2', '<f4'), |
|
|
231 | 231 | # Receiver phase calibration (degrees) - N values |
|
|
232 | 232 | ('RecPhaseCalibr0', '<f4'), |
|
|
233 | 233 | # Receiver phase calibration (degrees) - N values |
|
|
234 | 234 | ('RecPhaseCalibr1', '<f4'), |
|
|
235 | 235 | # Receiver phase calibration (degrees) - N values |
|
|
236 | 236 | ('RecPhaseCalibr2', '<f4'), |
|
|
237 | 237 | # Receiver amplitude calibration (ratio relative to receiver one) - N values |
|
|
238 | 238 | ('RecAmpCalibr0', '<f4'), |
|
|
239 | 239 | # Receiver amplitude calibration (ratio relative to receiver one) - N values |
|
|
240 | 240 | ('RecAmpCalibr1', '<f4'), |
|
|
241 | 241 | # Receiver amplitude calibration (ratio relative to receiver one) - N values |
|
|
242 | 242 | ('RecAmpCalibr2', '<f4'), |
|
|
243 | 243 | # Receiver gains in dB - N values |
|
|
244 | 244 | ('ReceiverGaindB0', '<i4'), |
|
|
245 | 245 | # Receiver gains in dB - N values |
|
|
246 | 246 | ('ReceiverGaindB1', '<i4'), |
|
|
247 | 247 | # Receiver gains in dB - N values |
|
|
248 | 248 | ('ReceiverGaindB2', '<i4'), |
|
|
249 | 249 | ]) |
|
|
250 | 250 | |
|
|
251 | 251 | |
|
|
252 | 252 | class RecordHeaderBLTR(Header): |
|
|
253 | 253 | |
|
|
254 | 254 | def __init__(self, RecMgcNumber=None, RecCounter=0, Off2StartNxtRec=811248, |
|
|
255 | 255 | nUtime=0, nMilisec=0, ExpTagName=None, |
|
|
256 | 256 | ExpComment=None, SiteLatDegrees=0, SiteLongDegrees=0, |
|
|
257 | 257 | RTCgpsStatus=0, TransmitFrec=0, ReceiveFrec=0, |
|
|
258 | 258 | FirstOsciFrec=0, Polarisation=0, ReceiverFiltSett=0, |
|
|
259 | 259 | nModesInUse=0, DualModeIndex=0, DualModeRange=0, |
|
|
260 | 260 | nDigChannels=0, SampResolution=0, nHeights=0, |
|
|
261 | 261 | StartRangeSamp=0, PRFhz=0, nCohInt=0, |
|
|
262 | 262 | nProfiles=0, nChannels=0, nIncohInt=0, |
|
|
263 | 263 | FFTwindowingInd=0, BeamAngleAzim=0, BeamAngleZen=0, |
|
|
264 | 264 | AntennaCoord0=0, AntennaCoord1=0, AntennaCoord2=0, |
|
|
265 | 265 | RecPhaseCalibr0=0, RecPhaseCalibr1=0, RecPhaseCalibr2=0, |
|
|
266 | 266 | RecAmpCalibr0=0, RecAmpCalibr1=0, RecAmpCalibr2=0, |
|
|
267 | 267 | AntennaAngl0=0, AntennaAngl1=0, AntennaAngl2=0, |
|
|
268 | 268 | ReceiverGaindB0=0, ReceiverGaindB1=0, ReceiverGaindB2=0, Off2StartData=0, OffsetStartHeader=0): |
|
|
269 | 269 | |
|
|
270 | 270 | self.RecMgcNumber = RecMgcNumber # 0x23030001 |
|
|
271 | 271 | self.RecCounter = RecCounter |
|
|
272 | 272 | self.Off2StartNxtRec = Off2StartNxtRec |
|
|
273 | 273 | self.Off2StartData = Off2StartData |
|
|
274 | 274 | self.nUtime = nUtime |
|
|
275 | 275 | self.nMilisec = nMilisec |
|
|
276 | 276 | self.ExpTagName = ExpTagName |
|
|
277 | 277 | self.ExpComment = ExpComment |
|
|
278 | 278 | self.SiteLatDegrees = SiteLatDegrees |
|
|
279 | 279 | self.SiteLongDegrees = SiteLongDegrees |
|
|
280 | 280 | self.RTCgpsStatus = RTCgpsStatus |
|
|
281 | 281 | self.TransmitFrec = TransmitFrec |
|
|
282 | 282 | self.ReceiveFrec = ReceiveFrec |
|
|
283 | 283 | self.FirstOsciFrec = FirstOsciFrec |
|
|
284 | 284 | self.Polarisation = Polarisation |
|
|
285 | 285 | self.ReceiverFiltSett = ReceiverFiltSett |
|
|
286 | 286 | self.nModesInUse = nModesInUse |
|
|
287 | 287 | self.DualModeIndex = DualModeIndex |
|
|
288 | 288 | self.DualModeRange = DualModeRange |
|
|
289 | 289 | self.nDigChannels = nDigChannels |
|
|
290 | 290 | self.SampResolution = SampResolution |
|
|
291 | 291 | self.nHeights = nHeights |
|
|
292 | 292 | self.StartRangeSamp = StartRangeSamp |
|
|
293 | 293 | self.PRFhz = PRFhz |
|
|
294 | 294 | self.nCohInt = nCohInt |
|
|
295 | 295 | self.nProfiles = nProfiles |
|
|
296 | 296 | self.nChannels = nChannels |
|
|
297 | 297 | self.nIncohInt = nIncohInt |
|
|
298 | 298 | self.FFTwindowingInd = FFTwindowingInd |
|
|
299 | 299 | self.BeamAngleAzim = BeamAngleAzim |
|
|
300 | 300 | self.BeamAngleZen = BeamAngleZen |
|
|
301 | 301 | self.AntennaCoord0 = AntennaCoord0 |
|
|
302 | 302 | self.AntennaAngl0 = AntennaAngl0 |
|
|
303 | 303 | self.AntennaAngl1 = AntennaAngl1 |
|
|
304 | 304 | self.AntennaAngl2 = AntennaAngl2 |
|
|
305 | 305 | self.AntennaCoord1 = AntennaCoord1 |
|
|
306 | 306 | self.AntennaCoord2 = AntennaCoord2 |
|
|
307 | 307 | self.RecPhaseCalibr0 = RecPhaseCalibr0 |
|
|
308 | 308 | self.RecPhaseCalibr1 = RecPhaseCalibr1 |
|
|
309 | 309 | self.RecPhaseCalibr2 = RecPhaseCalibr2 |
|
|
310 | 310 | self.RecAmpCalibr0 = RecAmpCalibr0 |
|
|
311 | 311 | self.RecAmpCalibr1 = RecAmpCalibr1 |
|
|
312 | 312 | self.RecAmpCalibr2 = RecAmpCalibr2 |
|
|
313 | 313 | self.ReceiverGaindB0 = ReceiverGaindB0 |
|
|
314 | 314 | self.ReceiverGaindB1 = ReceiverGaindB1 |
|
|
315 | 315 | self.ReceiverGaindB2 = ReceiverGaindB2 |
|
|
316 | 316 | self.OffsetStartHeader = 48 |
|
|
317 | 317 | |
|
|
318 | 318 | def RHread(self, fp): |
|
|
319 | 319 | # print fp |
|
|
320 | 320 | # startFp = open('/home/erick/Documents/Data/huancayo.20161019.22.fdt',"rb") #The method tell() returns the current position of the file read/write pointer within the file. |
|
|
321 | 321 | # The method tell() returns the current position of the file read/write pointer within the file. |
|
|
322 | 322 | startFp = open(fp, "rb") |
|
|
323 | 323 | # RecCounter=0 |
|
|
324 | 324 | # Off2StartNxtRec=811248 |
|
|
325 | 325 | OffRHeader = self.OffsetStartHeader + self.RecCounter * self.Off2StartNxtRec |
|
|
326 | 326 | print ' ' |
|
|
327 | 327 | print 'puntero Record Header', startFp.tell() |
|
|
328 | 328 | print ' ' |
|
|
329 | 329 | |
|
|
330 | 330 | startFp.seek(OffRHeader, os.SEEK_SET) |
|
|
331 | 331 | |
|
|
332 | 332 | print ' ' |
|
|
333 | 333 | print 'puntero Record Header con seek', startFp.tell() |
|
|
334 | 334 | print ' ' |
|
|
335 | 335 | |
|
|
336 | 336 | # print 'Posicion del bloque: ',OffRHeader |
|
|
337 | 337 | |
|
|
338 | 338 | header = numpy.fromfile(startFp, RECORD_STRUCTURE, 1) |
|
|
339 | 339 | |
|
|
340 | 340 | print ' ' |
|
|
341 | 341 | print 'puntero Record Header con seek', startFp.tell() |
|
|
342 | 342 | print ' ' |
|
|
343 | 343 | |
|
|
344 | 344 | print ' ' |
|
|
345 | 345 | # |
|
|
346 | 346 | # print 'puntero Record Header despues de seek', header.tell() |
|
|
347 | 347 | print ' ' |
|
|
348 | 348 | |
|
|
349 | 349 | self.RecMgcNumber = hex(header['RecMgcNumber'][0]) # 0x23030001 |
|
|
350 | 350 | self.RecCounter = int(header['RecCounter'][0]) |
|
|
351 | 351 | self.Off2StartNxtRec = int(header['Off2StartNxtRec'][0]) |
|
|
352 | 352 | self.Off2StartData = int(header['Off2StartData'][0]) |
|
|
353 | 353 | self.nUtime = header['nUtime'][0] |
|
|
354 | 354 | self.nMilisec = header['nMilisec'][0] |
|
|
355 | 355 | self.ExpTagName = str(header['ExpTagName'][0]) |
|
|
356 | 356 | self.ExpComment = str(header['ExpComment'][0]) |
|
|
357 | 357 | self.SiteLatDegrees = header['SiteLatDegrees'][0] |
|
|
358 | 358 | self.SiteLongDegrees = header['SiteLongDegrees'][0] |
|
|
359 | 359 | self.RTCgpsStatus = header['RTCgpsStatus'][0] |
|
|
360 | 360 | self.TransmitFrec = header['TransmitFrec'][0] |
|
|
361 | 361 | self.ReceiveFrec = header['ReceiveFrec'][0] |
|
|
362 | 362 | self.FirstOsciFrec = header['FirstOsciFrec'][0] |
|
|
363 | 363 | self.Polarisation = header['Polarisation'][0] |
|
|
364 | 364 | self.ReceiverFiltSett = header['ReceiverFiltSett'][0] |
|
|
365 | 365 | self.nModesInUse = header['nModesInUse'][0] |
|
|
366 | 366 | self.DualModeIndex = header['DualModeIndex'][0] |
|
|
367 | 367 | self.DualModeRange = header['DualModeRange'][0] |
|
|
368 | 368 | self.nDigChannels = header['nDigChannels'][0] |
|
|
369 | 369 | self.SampResolution = header['SampResolution'][0] |
|
|
370 | 370 | self.nHeights = header['nHeights'][0] |
|
|
371 | 371 | self.StartRangeSamp = header['StartRangeSamp'][0] |
|
|
372 | 372 | self.PRFhz = header['PRFhz'][0] |
|
|
373 | 373 | self.nCohInt = header['nCohInt'][0] |
|
|
374 | 374 | self.nProfiles = header['nProfiles'][0] |
|
|
375 | 375 | self.nChannels = header['nChannels'][0] |
|
|
376 | 376 | self.nIncohInt = header['nIncohInt'][0] |
|
|
377 | 377 | self.FFTwindowingInd = header['FFTwindowingInd'][0] |
|
|
378 | 378 | self.BeamAngleAzim = header['BeamAngleAzim'][0] |
|
|
379 | 379 | self.BeamAngleZen = header['BeamAngleZen'][0] |
|
|
380 | 380 | self.AntennaCoord0 = header['AntennaCoord0'][0] |
|
|
381 | 381 | self.AntennaAngl0 = header['AntennaAngl0'][0] |
|
|
382 | 382 | self.AntennaCoord1 = header['AntennaCoord1'][0] |
|
|
383 | 383 | self.AntennaAngl1 = header['AntennaAngl1'][0] |
|
|
384 | 384 | self.AntennaCoord2 = header['AntennaCoord2'][0] |
|
|
385 | 385 | self.AntennaAngl2 = header['AntennaAngl2'][0] |
|
|
386 | 386 | self.RecPhaseCalibr0 = header['RecPhaseCalibr0'][0] |
|
|
387 | 387 | self.RecPhaseCalibr1 = header['RecPhaseCalibr1'][0] |
|
|
388 | 388 | self.RecPhaseCalibr2 = header['RecPhaseCalibr2'][0] |
|
|
389 | 389 | self.RecAmpCalibr0 = header['RecAmpCalibr0'][0] |
|
|
390 | 390 | self.RecAmpCalibr1 = header['RecAmpCalibr1'][0] |
|
|
391 | 391 | self.RecAmpCalibr2 = header['RecAmpCalibr2'][0] |
|
|
392 | 392 | self.ReceiverGaindB0 = header['ReceiverGaindB0'][0] |
|
|
393 | 393 | self.ReceiverGaindB1 = header['ReceiverGaindB1'][0] |
|
|
394 | 394 | self.ReceiverGaindB2 = header['ReceiverGaindB2'][0] |
|
|
395 | 395 | |
|
|
396 | 396 | self.ipp = 0.5 * (SPEED_OF_LIGHT / self.PRFhz) |
|
|
397 | 397 | |
|
|
398 | 398 | self.RHsize = 180 + 20 * self.nChannels |
|
|
399 | 399 | self.Datasize = self.nProfiles * self.nChannels * self.nHeights * 2 * 4 |
|
|
400 | 400 | # print 'Datasize',self.Datasize |
|
|
401 | 401 | endFp = self.OffsetStartHeader + self.RecCounter * self.Off2StartNxtRec |
|
|
402 | 402 | |
|
|
403 | 403 | print '==============================================' |
|
|
404 | 404 | print 'RecMgcNumber ', self.RecMgcNumber |
|
|
405 | 405 | print 'RecCounter ', self.RecCounter |
|
|
406 | 406 | print 'Off2StartNxtRec ', self.Off2StartNxtRec |
|
|
407 | 407 | print 'Off2StartData ', self.Off2StartData |
|
|
408 | 408 | print 'Range Resolution ', self.SampResolution |
|
|
409 | 409 | print 'First Height ', self.StartRangeSamp |
|
|
410 | 410 | print 'PRF (Hz) ', self.PRFhz |
|
|
411 | 411 | print 'Heights (K) ', self.nHeights |
|
|
412 | 412 | print 'Channels (N) ', self.nChannels |
|
|
413 | 413 | print 'Profiles (J) ', self.nProfiles |
|
|
414 | 414 | print 'iCoh ', self.nCohInt |
|
|
415 | 415 | print 'iInCoh ', self.nIncohInt |
|
|
416 | 416 | print 'BeamAngleAzim ', self.BeamAngleAzim |
|
|
417 | 417 | print 'BeamAngleZen ', self.BeamAngleZen |
|
|
418 | 418 | |
|
|
419 | 419 | # print 'ModoEnUso ',self.DualModeIndex |
|
|
420 | 420 | # print 'UtcTime ',self.nUtime |
|
|
421 | 421 | # print 'MiliSec ',self.nMilisec |
|
|
422 | 422 | # print 'Exp TagName ',self.ExpTagName |
|
|
423 | 423 | # print 'Exp Comment ',self.ExpComment |
|
|
424 | 424 | # print 'FFT Window Index ',self.FFTwindowingInd |
|
|
425 | 425 | # print 'N Dig. Channels ',self.nDigChannels |
|
|
426 | 426 | print 'Size de bloque ', self.RHsize |
|
|
427 | 427 | print 'DataSize ', self.Datasize |
|
|
428 | 428 | print 'BeamAngleAzim ', self.BeamAngleAzim |
|
|
429 | 429 | # print 'AntennaCoord0 ',self.AntennaCoord0 |
|
|
430 | 430 | # print 'AntennaAngl0 ',self.AntennaAngl0 |
|
|
431 | 431 | # print 'AntennaCoord1 ',self.AntennaCoord1 |
|
|
432 | 432 | # print 'AntennaAngl1 ',self.AntennaAngl1 |
|
|
433 | 433 | # print 'AntennaCoord2 ',self.AntennaCoord2 |
|
|
434 | 434 | # print 'AntennaAngl2 ',self.AntennaAngl2 |
|
|
435 | 435 | print 'RecPhaseCalibr0 ', self.RecPhaseCalibr0 |
|
|
436 | 436 | print 'RecPhaseCalibr1 ', self.RecPhaseCalibr1 |
|
|
437 | 437 | print 'RecPhaseCalibr2 ', self.RecPhaseCalibr2 |
|
|
438 | 438 | print 'RecAmpCalibr0 ', self.RecAmpCalibr0 |
|
|
439 | 439 | print 'RecAmpCalibr1 ', self.RecAmpCalibr1 |
|
|
440 | 440 | print 'RecAmpCalibr2 ', self.RecAmpCalibr2 |
|
|
441 | 441 | print 'ReceiverGaindB0 ', self.ReceiverGaindB0 |
|
|
442 | 442 | print 'ReceiverGaindB1 ', self.ReceiverGaindB1 |
|
|
443 | 443 | print 'ReceiverGaindB2 ', self.ReceiverGaindB2 |
|
|
444 | 444 | print '==============================================' |
|
|
445 | 445 | |
|
|
446 | 446 | if OffRHeader > endFp: |
|
|
447 | 447 | sys.stderr.write( |
|
|
448 | 448 | "Warning %s: Size value read from System Header is lower than it has to be\n" % fp) |
|
|
449 | 449 | return 0 |
|
|
450 | 450 | |
|
|
451 | 451 | if OffRHeader < endFp: |
|
|
452 | 452 | sys.stderr.write( |
|
|
453 | 453 | "Warning %s: Size value read from System Header size is greater than it has to be\n" % fp) |
|
|
454 | 454 | return 0 |
|
|
455 | 455 | |
|
|
456 | 456 | return 1 |
|
|
457 | 457 | |
|
|
458 | 458 | |
|
|
459 | 459 | class BLTRSpectraReader (ProcessingUnit, FileHeaderBLTR, RecordHeaderBLTR, JRODataReader): |
|
|
460 | 460 | |
|
|
461 | 461 | path = None |
|
|
462 | 462 | startDate = None |
|
|
463 | 463 | endDate = None |
|
|
464 | 464 | startTime = None |
|
|
465 | 465 | endTime = None |
|
|
466 | 466 | walk = None |
|
|
467 | 467 | isConfig = False |
|
|
468 | 468 | |
|
|
469 | 469 | fileList = None |
|
|
470 | 470 | |
|
|
471 | 471 | # metadata |
|
|
472 | 472 | TimeZone = None |
|
|
473 | 473 | Interval = None |
|
|
474 | 474 | heightList = None |
|
|
475 | 475 | |
|
|
476 | 476 | # data |
|
|
477 | 477 | data = None |
|
|
478 | 478 | utctime = None |
|
|
479 | 479 | |
|
|
480 | 480 | def __init__(self, **kwargs): |
|
|
481 | 481 | |
|
|
482 | 482 | # Eliminar de la base la herencia |
|
|
483 | 483 | ProcessingUnit.__init__(self, **kwargs) |
|
|
484 | 484 | |
|
|
485 | 485 | #self.isConfig = False |
|
|
486 | 486 | |
|
|
487 | 487 | #self.pts2read_SelfSpectra = 0 |
|
|
488 | 488 | #self.pts2read_CrossSpectra = 0 |
|
|
489 | 489 | #self.pts2read_DCchannels = 0 |
|
|
490 | 490 | #self.datablock = None |
|
|
491 | 491 | self.utc = None |
|
|
492 | 492 | self.ext = ".fdt" |
|
|
493 | 493 | self.optchar = "P" |
|
|
494 | 494 | self.fpFile = None |
|
|
495 | 495 | self.fp = None |
|
|
496 | 496 | self.BlockCounter = 0 |
|
|
497 | 497 | self.dtype = None |
|
|
498 | 498 | self.fileSizeByHeader = None |
|
|
499 | 499 | self.filenameList = [] |
|
|
500 | 500 | self.fileSelector = 0 |
|
|
501 | 501 | self.Off2StartNxtRec = 0 |
|
|
502 | 502 | self.RecCounter = 0 |
|
|
503 | 503 | self.flagNoMoreFiles = 0 |
|
|
504 | 504 | self.data_spc = None |
|
|
505 | 505 | self.data_cspc = None |
|
|
506 | 506 | self.data_output = None |
|
|
507 | 507 | self.path = None |
|
|
508 | 508 | self.OffsetStartHeader = 0 |
|
|
509 | 509 | self.Off2StartData = 0 |
|
|
510 | 510 | self.ipp = 0 |
|
|
511 | 511 | self.nFDTdataRecors = 0 |
|
|
512 | 512 | self.blocksize = 0 |
|
|
513 | 513 | self.dataOut = Spectra() |
|
|
514 | 514 | self.profileIndex = 1 # Always |
|
|
515 | 515 | self.dataOut.flagNoData = False |
|
|
516 | self.dataOut.nRdPairs = 0 | |
|
|
517 |
self.dataOut. |
|
|
|
518 | self.dataOut.data_spc = None | |
|
|
519 | self.dataOut.noise = [] | |
|
|
516 | self.dataOut.nRdPairs = 0 | |
|
|
517 | self.dataOut.data_spc = None | |
|
|
520 | 518 | self.dataOut.velocityX = [] |
|
|
521 | 519 | self.dataOut.velocityY = [] |
|
|
522 | 520 | self.dataOut.velocityV = [] |
|
|
523 | 521 | |
|
|
524 | 522 | def Files2Read(self, fp): |
|
|
525 | 523 | ''' |
|
|
526 | 524 | Function that indicates the number of .fdt files that exist in the folder to be read. |
|
|
527 | 525 | It also creates an organized list with the names of the files to read. |
|
|
528 | 526 | ''' |
|
|
529 | 527 | # self.__checkPath() |
|
|
530 | 528 | |
|
|
531 | 529 | # Gets the list of files within the fp address |
|
|
532 | 530 | ListaData = os.listdir(fp) |
|
|
533 | 531 | # Sort the list of files from least to largest by names |
|
|
534 | 532 | ListaData = sorted(ListaData) |
|
|
535 | 533 | nFiles = 0 # File Counter |
|
|
536 | 534 | FileList = [] # A list is created that will contain the .fdt files |
|
|
537 | 535 | for IndexFile in ListaData: |
|
|
538 | 536 | if '.fdt' in IndexFile: |
|
|
539 | 537 | FileList.append(IndexFile) |
|
|
540 | 538 | nFiles += 1 |
|
|
541 | 539 | |
|
|
542 | 540 | # print 'Files2Read' |
|
|
543 | 541 | # print 'Existen '+str(nFiles)+' archivos .fdt' |
|
|
544 | 542 | |
|
|
545 | 543 | self.filenameList = FileList # List of files from least to largest by names |
|
|
546 | 544 | |
|
|
547 | 545 | def run(self, **kwargs): |
|
|
548 | 546 | ''' |
|
|
549 | 547 | This method will be the one that will initiate the data entry, will be called constantly. |
|
|
550 | 548 | You should first verify that your Setup () is set up and then continue to acquire |
|
|
551 | 549 | the data to be processed with getData (). |
|
|
552 | 550 | ''' |
|
|
553 | 551 | if not self.isConfig: |
|
|
554 | 552 | self.setup(**kwargs) |
|
|
555 | 553 | self.isConfig = True |
|
|
556 | 554 | |
|
|
557 | 555 | self.getData() |
|
|
558 | 556 | # print 'running' |
|
|
559 | 557 | |
|
|
560 | 558 | def setup(self, path=None, |
|
|
561 | 559 | startDate=None, |
|
|
562 | 560 | endDate=None, |
|
|
563 | 561 | startTime=None, |
|
|
564 | 562 | endTime=None, |
|
|
565 | 563 | walk=True, |
|
|
566 | 564 | timezone='utc', |
|
|
567 | 565 | code=None, |
|
|
568 | 566 | online=False, |
|
|
569 | 567 | ReadMode=None, |
|
|
570 | 568 | **kwargs): |
|
|
571 | 569 | |
|
|
572 | 570 | self.isConfig = True |
|
|
573 | 571 | |
|
|
574 | 572 | self.path = path |
|
|
575 | 573 | self.startDate = startDate |
|
|
576 | 574 | self.endDate = endDate |
|
|
577 | 575 | self.startTime = startTime |
|
|
578 | 576 | self.endTime = endTime |
|
|
579 | 577 | self.walk = walk |
|
|
580 | 578 | self.ReadMode = int(ReadMode) |
|
|
581 | 579 | |
|
|
582 | 580 | pass |
|
|
583 | 581 | |
|
|
584 | 582 | def getData(self): |
|
|
585 | 583 | ''' |
|
|
586 | 584 | Before starting this function, you should check that there is still an unread file, |
|
|
587 | 585 | If there are still blocks to read or if the data block is empty. |
|
|
588 | 586 | |
|
|
589 | 587 | You should call the file "read". |
|
|
590 | 588 | |
|
|
591 | 589 | ''' |
|
|
592 | 590 | |
|
|
593 | 591 | if self.flagNoMoreFiles: |
|
|
594 | 592 | self.dataOut.flagNoData = True |
|
|
595 | 593 | print 'NoData se vuelve true' |
|
|
596 | 594 | return 0 |
|
|
597 | 595 | |
|
|
598 | 596 | self.fp = self.path |
|
|
599 | 597 | self.Files2Read(self.fp) |
|
|
600 | 598 | self.readFile(self.fp) |
|
|
601 | 599 | self.dataOut.data_spc = self.data_spc |
|
|
602 | 600 | self.dataOut.data_cspc = self.data_cspc |
|
|
603 | 601 | self.dataOut.data_output = self.data_output |
|
|
604 | 602 | |
|
|
605 | 603 | print 'self.dataOut.data_output', shape(self.dataOut.data_output) |
|
|
606 | 604 | |
|
|
607 | 605 | # self.removeDC() |
|
|
608 | 606 | return self.dataOut.data_spc |
|
|
609 | 607 | |
|
|
610 | 608 | def readFile(self, fp): |
|
|
611 | 609 | ''' |
|
|
612 | 610 | You must indicate if you are reading in Online or Offline mode and load the |
|
|
613 | 611 | The parameters for this file reading mode. |
|
|
614 | 612 | |
|
|
615 | 613 | Then you must do 2 actions: |
|
|
616 | 614 | |
|
|
617 | 615 | 1. Get the BLTR FileHeader. |
|
|
618 | 616 | 2. Start reading the first block. |
|
|
619 | 617 | ''' |
|
|
620 | 618 | |
|
|
621 | 619 | # The address of the folder is generated the name of the .fdt file that will be read |
|
|
622 | 620 | print "File: ", self.fileSelector + 1 |
|
|
623 | 621 | |
|
|
624 | 622 | if self.fileSelector < len(self.filenameList): |
|
|
625 | 623 | |
|
|
626 | 624 | self.fpFile = str(fp) + '/' + \ |
|
|
627 | 625 | str(self.filenameList[self.fileSelector]) |
|
|
628 | 626 | # print self.fpFile |
|
|
629 | 627 | fheader = FileHeaderBLTR() |
|
|
630 | 628 | fheader.FHread(self.fpFile) # Bltr FileHeader Reading |
|
|
631 | 629 | self.nFDTdataRecors = fheader.nFDTdataRecors |
|
|
632 | 630 | |
|
|
633 | 631 | self.readBlock() # Block reading |
|
|
634 | 632 | else: |
|
|
635 | 633 | print 'readFile FlagNoData becomes true' |
|
|
636 | 634 | self.flagNoMoreFiles = True |
|
|
637 | 635 | self.dataOut.flagNoData = True |
|
|
638 | 636 | return 0 |
|
|
639 | 637 | |
|
|
640 | 638 | def getVelRange(self, extrapoints=0): |
|
|
641 | 639 | Lambda = SPEED_OF_LIGHT / 50000000 |
|
|
642 | 640 | # 1./(self.dataOut.ippSeconds * self.dataOut.nCohInt) |
|
|
643 | 641 | PRF = self.dataOut.PRF |
|
|
644 | 642 | Vmax = -Lambda / (4. * (1. / PRF) * self.dataOut.nCohInt * 2.) |
|
|
645 | 643 | deltafreq = PRF / (self.nProfiles) |
|
|
646 | 644 | deltavel = (Vmax * 2) / (self.nProfiles) |
|
|
647 | 645 | freqrange = deltafreq * \ |
|
|
648 | 646 | (numpy.arange(self.nProfiles) - self.nProfiles / 2.) - deltafreq / 2 |
|
|
649 | 647 | velrange = deltavel * \ |
|
|
650 | 648 | (numpy.arange(self.nProfiles) - self.nProfiles / 2.) |
|
|
651 | 649 | return velrange |
|
|
652 | 650 | |
|
|
653 | 651 | def readBlock(self): |
|
|
654 | 652 | ''' |
|
|
655 | 653 | It should be checked if the block has data, if it is not passed to the next file. |
|
|
656 | 654 | |
|
|
657 | 655 | Then the following is done: |
|
|
658 | 656 | |
|
|
659 | 657 | 1. Read the RecordHeader |
|
|
660 | 658 | 2. Fill the buffer with the current block number. |
|
|
661 | 659 | |
|
|
662 | 660 | ''' |
|
|
663 | 661 | |
|
|
664 | 662 | if self.BlockCounter < self.nFDTdataRecors - 2: |
|
|
665 | 663 | print self.nFDTdataRecors, 'CONDICION!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!' |
|
|
666 | 664 | if self.ReadMode == 1: |
|
|
667 | 665 | rheader = RecordHeaderBLTR(RecCounter=self.BlockCounter + 1) |
|
|
668 | 666 | elif self.ReadMode == 0: |
|
|
669 | 667 | rheader = RecordHeaderBLTR(RecCounter=self.BlockCounter) |
|
|
670 | 668 | |
|
|
671 | 669 | rheader.RHread(self.fpFile) # Bltr FileHeader Reading |
|
|
672 | 670 | |
|
|
673 | 671 | self.OffsetStartHeader = rheader.OffsetStartHeader |
|
|
674 | 672 | self.RecCounter = rheader.RecCounter |
|
|
675 | 673 | self.Off2StartNxtRec = rheader.Off2StartNxtRec |
|
|
676 | 674 | self.Off2StartData = rheader.Off2StartData |
|
|
677 | 675 | self.nProfiles = rheader.nProfiles |
|
|
678 | 676 | self.nChannels = rheader.nChannels |
|
|
679 | 677 | self.nHeights = rheader.nHeights |
|
|
680 | 678 | self.frequency = rheader.TransmitFrec |
|
|
681 | 679 | self.DualModeIndex = rheader.DualModeIndex |
|
|
682 | 680 | |
|
|
683 | 681 | self.pairsList = [(0, 1), (0, 2), (1, 2)] |
|
|
684 | 682 | self.dataOut.pairsList = self.pairsList |
|
|
685 | 683 | |
|
|
686 | 684 | self.nRdPairs = len(self.dataOut.pairsList) |
|
|
687 | 685 | self.dataOut.nRdPairs = self.nRdPairs |
|
|
688 | 686 | |
|
|
689 | 687 | self.__firstHeigth = rheader.StartRangeSamp |
|
|
690 | 688 | self.__deltaHeigth = rheader.SampResolution |
|
|
691 | 689 | self.dataOut.heightList = self.__firstHeigth + \ |
|
|
692 | 690 | numpy.array(range(self.nHeights)) * self.__deltaHeigth |
|
|
693 | 691 | self.dataOut.channelList = range(self.nChannels) |
|
|
694 | 692 | self.dataOut.nProfiles = rheader.nProfiles |
|
|
695 | 693 | self.dataOut.nIncohInt = rheader.nIncohInt |
|
|
696 | 694 | self.dataOut.nCohInt = rheader.nCohInt |
|
|
697 | 695 | self.dataOut.ippSeconds = 1 / float(rheader.PRFhz) |
|
|
698 | 696 | self.dataOut.PRF = rheader.PRFhz |
|
|
699 | 697 | self.dataOut.nFFTPoints = rheader.nProfiles |
|
|
700 | 698 | self.dataOut.utctime = rheader.nUtime |
|
|
701 | 699 | self.dataOut.timeZone = 0 |
|
|
702 | 700 | self.dataOut.normFactor = self.dataOut.nProfiles * \ |
|
|
703 | 701 | self.dataOut.nIncohInt * self.dataOut.nCohInt |
|
|
704 | 702 | self.dataOut.outputInterval = self.dataOut.ippSeconds * \ |
|
|
705 | 703 | self.dataOut.nCohInt * self.dataOut.nIncohInt * self.nProfiles |
|
|
706 | 704 | |
|
|
707 | 705 | self.data_output = numpy.ones([3, rheader.nHeights]) * numpy.NaN |
|
|
708 | 706 | print 'self.data_output', shape(self.data_output) |
|
|
709 | 707 | self.dataOut.velocityX = [] |
|
|
710 | 708 | self.dataOut.velocityY = [] |
|
|
711 | 709 | self.dataOut.velocityV = [] |
|
|
712 | 710 | |
|
|
713 | 711 | '''Block Reading, the Block Data is received and Reshape is used to give it |
|
|
714 | 712 | shape. |
|
|
715 | 713 | ''' |
|
|
716 | 714 | |
|
|
717 | 715 | # Procedure to take the pointer to where the date block starts |
|
|
718 | 716 | startDATA = open(self.fpFile, "rb") |
|
|
719 | 717 | OffDATA = self.OffsetStartHeader + self.RecCounter * \ |
|
|
720 | 718 | self.Off2StartNxtRec + self.Off2StartData |
|
|
721 | 719 | startDATA.seek(OffDATA, os.SEEK_SET) |
|
|
722 | 720 | |
|
|
723 | 721 | def moving_average(x, N=2): |
|
|
724 | 722 | return numpy.convolve(x, numpy.ones((N,)) / N)[(N - 1):] |
|
|
725 | 723 | |
|
|
726 | 724 | def gaus(xSamples, a, x0, sigma): |
|
|
727 | 725 | return a * exp(-(xSamples - x0)**2 / (2 * sigma**2)) |
|
|
728 | 726 | |
|
|
729 | 727 | def Find(x, value): |
|
|
730 | 728 | for index in range(len(x)): |
|
|
731 | 729 | if x[index] == value: |
|
|
732 | 730 | return index |
|
|
733 | 731 | |
|
|
734 | 732 | def pol2cart(rho, phi): |
|
|
735 | 733 | x = rho * numpy.cos(phi) |
|
|
736 | 734 | y = rho * numpy.sin(phi) |
|
|
737 | 735 | return(x, y) |
|
|
738 | 736 | |
|
|
739 | 737 | if self.DualModeIndex == self.ReadMode: |
|
|
740 | 738 | |
|
|
741 | 739 | self.data_fft = numpy.fromfile( |
|
|
742 | 740 | startDATA, [('complex', '<c8')], self.nProfiles * self.nChannels * self.nHeights) |
|
|
743 | 741 | |
|
|
744 | 742 | self.data_fft = self.data_fft.astype(numpy.dtype('complex')) |
|
|
745 | 743 | |
|
|
746 | 744 | self.data_block = numpy.reshape( |
|
|
747 | 745 | self.data_fft, (self.nHeights, self.nChannels, self.nProfiles)) |
|
|
748 | 746 | |
|
|
749 | 747 | self.data_block = numpy.transpose(self.data_block, (1, 2, 0)) |
|
|
750 | 748 | |
|
|
751 | 749 | copy = self.data_block.copy() |
|
|
752 | 750 | spc = copy * numpy.conjugate(copy) |
|
|
753 | 751 | |
|
|
754 | 752 | self.data_spc = numpy.absolute( |
|
|
755 | 753 | spc) # valor absoluto o magnitud |
|
|
756 | 754 | |
|
|
757 | 755 | factor = self.dataOut.normFactor |
|
|
758 | 756 | |
|
|
759 | 757 | z = self.data_spc.copy() # /factor |
|
|
760 | 758 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
761 | 759 | #zdB = 10*numpy.log10(z) |
|
|
762 | 760 | print ' ' |
|
|
763 | 761 | print 'Z: ' |
|
|
764 | 762 | print shape(z) |
|
|
765 | 763 | print ' ' |
|
|
766 | 764 | print ' ' |
|
|
767 | 765 | |
|
|
768 | 766 | self.dataOut.data_spc = self.data_spc |
|
|
769 | 767 | |
|
|
770 | 768 | self.noise = self.dataOut.getNoise( |
|
|
771 | 769 | ymin_index=80, ymax_index=132) # /factor |
|
|
772 | 770 | #noisedB = 10*numpy.log10(self.noise) |
|
|
773 | 771 | |
|
|
774 | 772 | ySamples = numpy.ones([3, self.nProfiles]) |
|
|
775 | 773 | phase = numpy.ones([3, self.nProfiles]) |
|
|
776 | 774 | CSPCSamples = numpy.ones( |
|
|
777 | 775 | [3, self.nProfiles], dtype=numpy.complex_) |
|
|
778 | 776 | coherence = numpy.ones([3, self.nProfiles]) |
|
|
779 | 777 | PhaseSlope = numpy.ones(3) |
|
|
780 | 778 | PhaseInter = numpy.ones(3) |
|
|
781 | 779 | |
|
|
782 | 780 | '''****** Getting CrossSpectra ******''' |
|
|
783 | 781 | cspc = self.data_block.copy() |
|
|
784 | 782 | self.data_cspc = self.data_block.copy() |
|
|
785 | 783 | |
|
|
786 | 784 | xFrec = self.getVelRange(1) |
|
|
787 | 785 | VelRange = self.getVelRange(1) |
|
|
788 | 786 | self.dataOut.VelRange = VelRange |
|
|
789 | 787 | # print ' ' |
|
|
790 | 788 | # print ' ' |
|
|
791 | 789 | # print 'xFrec',xFrec |
|
|
792 | 790 | # print ' ' |
|
|
793 | 791 | # print ' ' |
|
|
794 | 792 | # Height=35 |
|
|
795 | 793 | for i in range(self.nRdPairs): |
|
|
796 | 794 | |
|
|
797 | 795 | chan_index0 = self.dataOut.pairsList[i][0] |
|
|
798 | 796 | chan_index1 = self.dataOut.pairsList[i][1] |
|
|
799 | 797 | |
|
|
800 | 798 | self.data_cspc[i, :, :] = cspc[chan_index0, :, |
|
|
801 | 799 | :] * numpy.conjugate(cspc[chan_index1, :, :]) |
|
|
802 | 800 | |
|
|
803 | 801 | '''Getting Eij and Nij''' |
|
|
804 | 802 | (AntennaX0, AntennaY0) = pol2cart( |
|
|
805 | 803 | rheader.AntennaCoord0, rheader.AntennaAngl0 * numpy.pi / 180) |
|
|
806 | 804 | (AntennaX1, AntennaY1) = pol2cart( |
|
|
807 | 805 | rheader.AntennaCoord1, rheader.AntennaAngl1 * numpy.pi / 180) |
|
|
808 | 806 | (AntennaX2, AntennaY2) = pol2cart( |
|
|
809 | 807 | rheader.AntennaCoord2, rheader.AntennaAngl2 * numpy.pi / 180) |
|
|
810 | 808 | |
|
|
811 | 809 | E01 = AntennaX0 - AntennaX1 |
|
|
812 | 810 | N01 = AntennaY0 - AntennaY1 |
|
|
813 | 811 | |
|
|
814 | 812 | E02 = AntennaX0 - AntennaX2 |
|
|
815 | 813 | N02 = AntennaY0 - AntennaY2 |
|
|
816 | 814 | |
|
|
817 | 815 | E12 = AntennaX1 - AntennaX2 |
|
|
818 | 816 | N12 = AntennaY1 - AntennaY2 |
|
|
819 | 817 | |
|
|
820 | 818 | self.ChanDist = numpy.array( |
|
|
821 | 819 | [[E01, N01], [E02, N02], [E12, N12]]) |
|
|
822 | 820 | |
|
|
823 | 821 | self.dataOut.ChanDist = self.ChanDist |
|
|
824 | 822 | |
|
|
825 | 823 | |
|
|
826 | 824 | # for Height in range(self.nHeights): |
|
|
827 | 825 | # |
|
|
828 | 826 | # for i in range(self.nRdPairs): |
|
|
829 | 827 | # |
|
|
830 | 828 | # '''****** Line of Data SPC ******''' |
|
|
831 | 829 | # zline=z[i,:,Height] |
|
|
832 | 830 | # |
|
|
833 | 831 | # '''****** DC is removed ******''' |
|
|
834 | 832 | # DC=Find(zline,numpy.amax(zline)) |
|
|
835 | 833 | # zline[DC]=(zline[DC-1]+zline[DC+1])/2 |
|
|
836 | 834 | # |
|
|
837 | 835 | # |
|
|
838 | 836 | # '''****** SPC is normalized ******''' |
|
|
839 | 837 | # FactNorm= zline.copy() / numpy.sum(zline.copy()) |
|
|
840 | 838 | # FactNorm= FactNorm/numpy.sum(FactNorm) |
|
|
841 | 839 | # |
|
|
842 | 840 | # SmoothSPC=moving_average(FactNorm,N=3) |
|
|
843 | 841 | # |
|
|
844 | 842 | # xSamples = ar(range(len(SmoothSPC))) |
|
|
845 | 843 | # ySamples[i] = SmoothSPC-self.noise[i] |
|
|
846 | 844 | # |
|
|
847 | 845 | # for i in range(self.nRdPairs): |
|
|
848 | 846 | # |
|
|
849 | 847 | # '''****** Line of Data CSPC ******''' |
|
|
850 | 848 | # cspcLine=self.data_cspc[i,:,Height].copy() |
|
|
851 | 849 | # |
|
|
852 | 850 | # |
|
|
853 | 851 | # |
|
|
854 | 852 | # '''****** CSPC is normalized ******''' |
|
|
855 | 853 | # chan_index0 = self.dataOut.pairsList[i][0] |
|
|
856 | 854 | # chan_index1 = self.dataOut.pairsList[i][1] |
|
|
857 | 855 | # CSPCFactor= numpy.sum(ySamples[chan_index0]) * numpy.sum(ySamples[chan_index1]) |
|
|
858 | 856 | # |
|
|
859 | 857 | # |
|
|
860 | 858 | # CSPCNorm= cspcLine.copy() / numpy.sqrt(CSPCFactor) |
|
|
861 | 859 | # |
|
|
862 | 860 | # |
|
|
863 | 861 | # CSPCSamples[i] = CSPCNorm-self.noise[i] |
|
|
864 | 862 | # coherence[i] = numpy.abs(CSPCSamples[i]) / numpy.sqrt(CSPCFactor) |
|
|
865 | 863 | # |
|
|
866 | 864 | # '''****** DC is removed ******''' |
|
|
867 | 865 | # DC=Find(coherence[i],numpy.amax(coherence[i])) |
|
|
868 | 866 | # coherence[i][DC]=(coherence[i][DC-1]+coherence[i][DC+1])/2 |
|
|
869 | 867 | # coherence[i]= moving_average(coherence[i],N=2) |
|
|
870 | 868 | # |
|
|
871 | 869 | # phase[i] = moving_average( numpy.arctan2(CSPCSamples[i].imag, CSPCSamples[i].real),N=1)#*180/numpy.pi |
|
|
872 | 870 | # |
|
|
873 | 871 | # |
|
|
874 | 872 | # '''****** Getting fij width ******''' |
|
|
875 | 873 | # |
|
|
876 | 874 | # yMean=[] |
|
|
877 | 875 | # yMean2=[] |
|
|
878 | 876 | # |
|
|
879 | 877 | # for j in range(len(ySamples[1])): |
|
|
880 | 878 | # yMean=numpy.append(yMean,numpy.average([ySamples[0,j],ySamples[1,j],ySamples[2,j]])) |
|
|
881 | 879 | # |
|
|
882 | 880 | # '''******* Getting fitting Gaussian ******''' |
|
|
883 | 881 | # meanGauss=sum(xSamples*yMean) / len(xSamples) |
|
|
884 | 882 | # sigma=sum(yMean*(xSamples-meanGauss)**2) / len(xSamples) |
|
|
885 | 883 | # #print 'Height',Height,'SNR', meanGauss/sigma**2 |
|
|
886 | 884 | # |
|
|
887 | 885 | # if (abs(meanGauss/sigma**2) > 0.0001) : |
|
|
888 | 886 | # |
|
|
889 | 887 | # try: |
|
|
890 | 888 | # popt,pcov = curve_fit(gaus,xSamples,yMean,p0=[1,meanGauss,sigma]) |
|
|
891 | 889 | # |
|
|
892 | 890 | # if numpy.amax(popt)>numpy.amax(yMean)*0.3: |
|
|
893 | 891 | # FitGauss=gaus(xSamples,*popt) |
|
|
894 | 892 | # |
|
|
895 | 893 | # else: |
|
|
896 | 894 | # FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) |
|
|
897 | 895 | # print 'Verificador: Dentro', Height |
|
|
898 | 896 | # except RuntimeError: |
|
|
899 | 897 | # |
|
|
900 | 898 | # try: |
|
|
901 | 899 | # for j in range(len(ySamples[1])): |
|
|
902 | 900 | # yMean2=numpy.append(yMean2,numpy.average([ySamples[1,j],ySamples[2,j]])) |
|
|
903 | 901 | # popt,pcov = curve_fit(gaus,xSamples,yMean2,p0=[1,meanGauss,sigma]) |
|
|
904 | 902 | # FitGauss=gaus(xSamples,*popt) |
|
|
905 | 903 | # print 'Verificador: Exepcion1', Height |
|
|
906 | 904 | # except RuntimeError: |
|
|
907 | 905 | # |
|
|
908 | 906 | # try: |
|
|
909 | 907 | # popt,pcov = curve_fit(gaus,xSamples,ySamples[1],p0=[1,meanGauss,sigma]) |
|
|
910 | 908 | # FitGauss=gaus(xSamples,*popt) |
|
|
911 | 909 | # print 'Verificador: Exepcion2', Height |
|
|
912 | 910 | # except RuntimeError: |
|
|
913 | 911 | # FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) |
|
|
914 | 912 | # print 'Verificador: Exepcion3', Height |
|
|
915 | 913 | # else: |
|
|
916 | 914 | # FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) |
|
|
917 | 915 | # #print 'Verificador: Fuera', Height |
|
|
918 | 916 | # |
|
|
919 | 917 | # |
|
|
920 | 918 | # |
|
|
921 | 919 | # Maximun=numpy.amax(yMean) |
|
|
922 | 920 | # eMinus1=Maximun*numpy.exp(-1) |
|
|
923 | 921 | # |
|
|
924 | 922 | # HWpos=Find(FitGauss,min(FitGauss, key=lambda value:abs(value-eMinus1))) |
|
|
925 | 923 | # HalfWidth= xFrec[HWpos] |
|
|
926 | 924 | # GCpos=Find(FitGauss, numpy.amax(FitGauss)) |
|
|
927 | 925 | # Vpos=Find(FactNorm, numpy.amax(FactNorm)) |
|
|
928 | 926 | # #Vpos=numpy.sum(FactNorm)/len(FactNorm) |
|
|
929 | 927 | # #Vpos=Find(FactNorm, min(FactNorm, key=lambda value:abs(value- numpy.mean(FactNorm) ))) |
|
|
930 | 928 | # #print 'GCpos',GCpos, numpy.amax(FitGauss), 'HWpos',HWpos |
|
|
931 | 929 | # '''****** Getting Fij ******''' |
|
|
932 | 930 | # |
|
|
933 | 931 | # GaussCenter=xFrec[GCpos] |
|
|
934 | 932 | # if (GaussCenter<0 and HalfWidth>0) or (GaussCenter>0 and HalfWidth<0): |
|
|
935 | 933 | # Fij=abs(GaussCenter)+abs(HalfWidth)+0.0000001 |
|
|
936 | 934 | # else: |
|
|
937 | 935 | # Fij=abs(GaussCenter-HalfWidth)+0.0000001 |
|
|
938 | 936 | # |
|
|
939 | 937 | # '''****** Getting Frecuency range of significant data ******''' |
|
|
940 | 938 | # |
|
|
941 | 939 | # Rangpos=Find(FitGauss,min(FitGauss, key=lambda value:abs(value-Maximun*0.10))) |
|
|
942 | 940 | # |
|
|
943 | 941 | # if Rangpos<GCpos: |
|
|
944 | 942 | # Range=numpy.array([Rangpos,2*GCpos-Rangpos]) |
|
|
945 | 943 | # else: |
|
|
946 | 944 | # Range=numpy.array([2*GCpos-Rangpos,Rangpos]) |
|
|
947 | 945 | # |
|
|
948 | 946 | # FrecRange=xFrec[Range[0]:Range[1]] |
|
|
949 | 947 | # |
|
|
950 | 948 | # #print 'FrecRange', FrecRange |
|
|
951 | 949 | # '''****** Getting SCPC Slope ******''' |
|
|
952 | 950 | # |
|
|
953 | 951 | # for i in range(self.nRdPairs): |
|
|
954 | 952 | # |
|
|
955 | 953 | # if len(FrecRange)>5 and len(FrecRange)<self.nProfiles*0.5: |
|
|
956 | 954 | # PhaseRange=moving_average(phase[i,Range[0]:Range[1]],N=3) |
|
|
957 | 955 | # |
|
|
958 | 956 | # slope, intercept, r_value, p_value, std_err = stats.linregress(FrecRange,PhaseRange) |
|
|
959 | 957 | # PhaseSlope[i]=slope |
|
|
960 | 958 | # PhaseInter[i]=intercept |
|
|
961 | 959 | # else: |
|
|
962 | 960 | # PhaseSlope[i]=0 |
|
|
963 | 961 | # PhaseInter[i]=0 |
|
|
964 | 962 | # |
|
|
965 | 963 | # # plt.figure(i+15) |
|
|
966 | 964 | # # plt.title('FASE ( CH%s*CH%s )' %(self.dataOut.pairsList[i][0],self.dataOut.pairsList[i][1])) |
|
|
967 | 965 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
968 | 966 | # # plt.ylabel('Magnitud') |
|
|
969 | 967 | # # #plt.subplot(311+i) |
|
|
970 | 968 | # # plt.plot(FrecRange,PhaseRange,'b') |
|
|
971 | 969 | # # plt.plot(FrecRange,FrecRange*PhaseSlope[i]+PhaseInter[i],'r') |
|
|
972 | 970 | # |
|
|
973 | 971 | # #plt.axis([-0.6, 0.2, -3.2, 3.2]) |
|
|
974 | 972 | # |
|
|
975 | 973 | # |
|
|
976 | 974 | # '''Getting constant C''' |
|
|
977 | 975 | # cC=(Fij*numpy.pi)**2 |
|
|
978 | 976 | # |
|
|
979 | 977 | # # '''Getting Eij and Nij''' |
|
|
980 | 978 | # # (AntennaX0,AntennaY0)=pol2cart(rheader.AntennaCoord0, rheader.AntennaAngl0*numpy.pi/180) |
|
|
981 | 979 | # # (AntennaX1,AntennaY1)=pol2cart(rheader.AntennaCoord1, rheader.AntennaAngl1*numpy.pi/180) |
|
|
982 | 980 | # # (AntennaX2,AntennaY2)=pol2cart(rheader.AntennaCoord2, rheader.AntennaAngl2*numpy.pi/180) |
|
|
983 | 981 | # # |
|
|
984 | 982 | # # E01=AntennaX0-AntennaX1 |
|
|
985 | 983 | # # N01=AntennaY0-AntennaY1 |
|
|
986 | 984 | # # |
|
|
987 | 985 | # # E02=AntennaX0-AntennaX2 |
|
|
988 | 986 | # # N02=AntennaY0-AntennaY2 |
|
|
989 | 987 | # # |
|
|
990 | 988 | # # E12=AntennaX1-AntennaX2 |
|
|
991 | 989 | # # N12=AntennaY1-AntennaY2 |
|
|
992 | 990 | # |
|
|
993 | 991 | # '''****** Getting constants F and G ******''' |
|
|
994 | 992 | # MijEijNij=numpy.array([[E02,N02], [E12,N12]]) |
|
|
995 | 993 | # MijResult0=(-PhaseSlope[1]*cC) / (2*numpy.pi) |
|
|
996 | 994 | # MijResult1=(-PhaseSlope[2]*cC) / (2*numpy.pi) |
|
|
997 | 995 | # MijResults=numpy.array([MijResult0,MijResult1]) |
|
|
998 | 996 | # (cF,cG) = numpy.linalg.solve(MijEijNij, MijResults) |
|
|
999 | 997 | # |
|
|
1000 | 998 | # '''****** Getting constants A, B and H ******''' |
|
|
1001 | 999 | # W01=numpy.amax(coherence[0]) |
|
|
1002 | 1000 | # W02=numpy.amax(coherence[1]) |
|
|
1003 | 1001 | # W12=numpy.amax(coherence[2]) |
|
|
1004 | 1002 | # |
|
|
1005 | 1003 | # WijResult0=((cF*E01+cG*N01)**2)/cC - numpy.log(W01 / numpy.sqrt(numpy.pi/cC)) |
|
|
1006 | 1004 | # WijResult1=((cF*E02+cG*N02)**2)/cC - numpy.log(W02 / numpy.sqrt(numpy.pi/cC)) |
|
|
1007 | 1005 | # WijResult2=((cF*E12+cG*N12)**2)/cC - numpy.log(W12 / numpy.sqrt(numpy.pi/cC)) |
|
|
1008 | 1006 | # |
|
|
1009 | 1007 | # WijResults=numpy.array([WijResult0, WijResult1, WijResult2]) |
|
|
1010 | 1008 | # |
|
|
1011 | 1009 | # WijEijNij=numpy.array([ [E01**2, N01**2, 2*E01*N01] , [E02**2, N02**2, 2*E02*N02] , [E12**2, N12**2, 2*E12*N12] ]) |
|
|
1012 | 1010 | # (cA,cB,cH) = numpy.linalg.solve(WijEijNij, WijResults) |
|
|
1013 | 1011 | # |
|
|
1014 | 1012 | # VxVy=numpy.array([[cA,cH],[cH,cB]]) |
|
|
1015 | 1013 | # |
|
|
1016 | 1014 | # VxVyResults=numpy.array([-cF,-cG]) |
|
|
1017 | 1015 | # (Vx,Vy) = numpy.linalg.solve(VxVy, VxVyResults) |
|
|
1018 | 1016 | # Vzon = Vy |
|
|
1019 | 1017 | # Vmer = Vx |
|
|
1020 | 1018 | # Vmag=numpy.sqrt(Vzon**2+Vmer**2) |
|
|
1021 | 1019 | # Vang=numpy.arctan2(Vmer,Vzon) |
|
|
1022 | 1020 | # |
|
|
1023 | 1021 | # if abs(Vy)<100 and abs(Vy)> 0.: |
|
|
1024 | 1022 | # self.dataOut.velocityX=numpy.append(self.dataOut.velocityX, Vzon) #Vmag |
|
|
1025 | 1023 | # #print 'Vmag',Vmag |
|
|
1026 | 1024 | # else: |
|
|
1027 | 1025 | # self.dataOut.velocityX=numpy.append(self.dataOut.velocityX, NaN) |
|
|
1028 | 1026 | # |
|
|
1029 | 1027 | # if abs(Vx)<100 and abs(Vx) > 0.: |
|
|
1030 | 1028 | # self.dataOut.velocityY=numpy.append(self.dataOut.velocityY, Vmer) #Vang |
|
|
1031 | 1029 | # #print 'Vang',Vang |
|
|
1032 | 1030 | # else: |
|
|
1033 | 1031 | # self.dataOut.velocityY=numpy.append(self.dataOut.velocityY, NaN) |
|
|
1034 | 1032 | # |
|
|
1035 | 1033 | # if abs(GaussCenter)<2: |
|
|
1036 | 1034 | # self.dataOut.velocityV=numpy.append(self.dataOut.velocityV, xFrec[Vpos]) |
|
|
1037 | 1035 | # |
|
|
1038 | 1036 | # else: |
|
|
1039 | 1037 | # self.dataOut.velocityV=numpy.append(self.dataOut.velocityV, NaN) |
|
|
1040 | 1038 | # |
|
|
1041 | 1039 | # |
|
|
1042 | 1040 | # # print '********************************************' |
|
|
1043 | 1041 | # # print 'HalfWidth ', HalfWidth |
|
|
1044 | 1042 | # # print 'Maximun ', Maximun |
|
|
1045 | 1043 | # # print 'eMinus1 ', eMinus1 |
|
|
1046 | 1044 | # # print 'Rangpos ', Rangpos |
|
|
1047 | 1045 | # # print 'GaussCenter ',GaussCenter |
|
|
1048 | 1046 | # # print 'E01 ',E01 |
|
|
1049 | 1047 | # # print 'N01 ',N01 |
|
|
1050 | 1048 | # # print 'E02 ',E02 |
|
|
1051 | 1049 | # # print 'N02 ',N02 |
|
|
1052 | 1050 | # # print 'E12 ',E12 |
|
|
1053 | 1051 | # # print 'N12 ',N12 |
|
|
1054 | 1052 | # #print 'self.dataOut.velocityX ', self.dataOut.velocityX |
|
|
1055 | 1053 | # # print 'Fij ', Fij |
|
|
1056 | 1054 | # # print 'cC ', cC |
|
|
1057 | 1055 | # # print 'cF ', cF |
|
|
1058 | 1056 | # # print 'cG ', cG |
|
|
1059 | 1057 | # # print 'cA ', cA |
|
|
1060 | 1058 | # # print 'cB ', cB |
|
|
1061 | 1059 | # # print 'cH ', cH |
|
|
1062 | 1060 | # # print 'Vx ', Vx |
|
|
1063 | 1061 | # # print 'Vy ', Vy |
|
|
1064 | 1062 | # # print 'Vmag ', Vmag |
|
|
1065 | 1063 | # # print 'Vang ', Vang*180/numpy.pi |
|
|
1066 | 1064 | # # print 'PhaseSlope ',PhaseSlope[0] |
|
|
1067 | 1065 | # # print 'PhaseSlope ',PhaseSlope[1] |
|
|
1068 | 1066 | # # print 'PhaseSlope ',PhaseSlope[2] |
|
|
1069 | 1067 | # # print '********************************************' |
|
|
1070 | 1068 | # #print 'data_output',shape(self.dataOut.velocityX), shape(self.dataOut.velocityY) |
|
|
1071 | 1069 | # |
|
|
1072 | 1070 | # #print 'self.dataOut.velocityX', len(self.dataOut.velocityX) |
|
|
1073 | 1071 | # #print 'self.dataOut.velocityY', len(self.dataOut.velocityY) |
|
|
1074 | 1072 | # #print 'self.dataOut.velocityV', self.dataOut.velocityV |
|
|
1075 | 1073 | # |
|
|
1076 | 1074 | # self.data_output[0]=numpy.array(self.dataOut.velocityX) |
|
|
1077 | 1075 | # self.data_output[1]=numpy.array(self.dataOut.velocityY) |
|
|
1078 | 1076 | # self.data_output[2]=numpy.array(self.dataOut.velocityV) |
|
|
1079 | 1077 | # |
|
|
1080 | 1078 | # prin= self.data_output[0][~numpy.isnan(self.data_output[0])] |
|
|
1081 | 1079 | # print ' ' |
|
|
1082 | 1080 | # print 'VmagAverage',numpy.mean(prin) |
|
|
1083 | 1081 | # print ' ' |
|
|
1084 | 1082 | # # plt.figure(5) |
|
|
1085 | 1083 | # # plt.subplot(211) |
|
|
1086 | 1084 | # # plt.plot(self.dataOut.velocityX,'yo:') |
|
|
1087 | 1085 | # # plt.subplot(212) |
|
|
1088 | 1086 | # # plt.plot(self.dataOut.velocityY,'yo:') |
|
|
1089 | 1087 | # |
|
|
1090 | 1088 | # # plt.figure(1) |
|
|
1091 | 1089 | # # # plt.subplot(121) |
|
|
1092 | 1090 | # # # plt.plot(xFrec,ySamples[0],'k',label='Ch0') |
|
|
1093 | 1091 | # # # plt.plot(xFrec,ySamples[1],'g',label='Ch1') |
|
|
1094 | 1092 | # # # plt.plot(xFrec,ySamples[2],'r',label='Ch2') |
|
|
1095 | 1093 | # # # plt.plot(xFrec,FitGauss,'yo:',label='fit') |
|
|
1096 | 1094 | # # # plt.legend() |
|
|
1097 | 1095 | # # plt.title('DATOS A ALTURA DE 2850 METROS') |
|
|
1098 | 1096 | # # |
|
|
1099 | 1097 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
1100 | 1098 | # # plt.ylabel('Magnitud') |
|
|
1101 | 1099 | # # # plt.subplot(122) |
|
|
1102 | 1100 | # # # plt.title('Fit for Time Constant') |
|
|
1103 | 1101 | # # #plt.plot(xFrec,zline) |
|
|
1104 | 1102 | # # #plt.plot(xFrec,SmoothSPC,'g') |
|
|
1105 | 1103 | # # plt.plot(xFrec,FactNorm) |
|
|
1106 | 1104 | # # plt.axis([-4, 4, 0, 0.15]) |
|
|
1107 | 1105 | # # # plt.xlabel('SelfSpectra KHz') |
|
|
1108 | 1106 | # # |
|
|
1109 | 1107 | # # plt.figure(10) |
|
|
1110 | 1108 | # # # plt.subplot(121) |
|
|
1111 | 1109 | # # plt.plot(xFrec,ySamples[0],'b',label='Ch0') |
|
|
1112 | 1110 | # # plt.plot(xFrec,ySamples[1],'y',label='Ch1') |
|
|
1113 | 1111 | # # plt.plot(xFrec,ySamples[2],'r',label='Ch2') |
|
|
1114 | 1112 | # # # plt.plot(xFrec,FitGauss,'yo:',label='fit') |
|
|
1115 | 1113 | # # plt.legend() |
|
|
1116 | 1114 | # # plt.title('SELFSPECTRA EN CANALES') |
|
|
1117 | 1115 | # # |
|
|
1118 | 1116 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
1119 | 1117 | # # plt.ylabel('Magnitud') |
|
|
1120 | 1118 | # # # plt.subplot(122) |
|
|
1121 | 1119 | # # # plt.title('Fit for Time Constant') |
|
|
1122 | 1120 | # # #plt.plot(xFrec,zline) |
|
|
1123 | 1121 | # # #plt.plot(xFrec,SmoothSPC,'g') |
|
|
1124 | 1122 | # # # plt.plot(xFrec,FactNorm) |
|
|
1125 | 1123 | # # # plt.axis([-4, 4, 0, 0.15]) |
|
|
1126 | 1124 | # # # plt.xlabel('SelfSpectra KHz') |
|
|
1127 | 1125 | # # |
|
|
1128 | 1126 | # # plt.figure(9) |
|
|
1129 | 1127 | # # |
|
|
1130 | 1128 | # # |
|
|
1131 | 1129 | # # plt.title('DATOS SUAVIZADOS') |
|
|
1132 | 1130 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
1133 | 1131 | # # plt.ylabel('Magnitud') |
|
|
1134 | 1132 | # # plt.plot(xFrec,SmoothSPC,'g') |
|
|
1135 | 1133 | # # |
|
|
1136 | 1134 | # # #plt.plot(xFrec,FactNorm) |
|
|
1137 | 1135 | # # plt.axis([-4, 4, 0, 0.15]) |
|
|
1138 | 1136 | # # # plt.xlabel('SelfSpectra KHz') |
|
|
1139 | 1137 | # # # |
|
|
1140 | 1138 | # # plt.figure(2) |
|
|
1141 | 1139 | # # # #plt.subplot(121) |
|
|
1142 | 1140 | # # plt.plot(xFrec,yMean,'r',label='Mean SelfSpectra') |
|
|
1143 | 1141 | # # plt.plot(xFrec,FitGauss,'yo:',label='Ajuste Gaussiano') |
|
|
1144 | 1142 | # # # plt.plot(xFrec[Rangpos],FitGauss[Find(FitGauss,min(FitGauss, key=lambda value:abs(value-Maximun*0.1)))],'bo') |
|
|
1145 | 1143 | # # # #plt.plot(xFrec,phase) |
|
|
1146 | 1144 | # # # plt.xlabel('Suavizado, promediado KHz') |
|
|
1147 | 1145 | # # plt.title('SELFSPECTRA PROMEDIADO') |
|
|
1148 | 1146 | # # # #plt.subplot(122) |
|
|
1149 | 1147 | # # # #plt.plot(xSamples,zline) |
|
|
1150 | 1148 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
1151 | 1149 | # # plt.ylabel('Magnitud') |
|
|
1152 | 1150 | # # plt.legend() |
|
|
1153 | 1151 | # # # |
|
|
1154 | 1152 | # # # plt.figure(3) |
|
|
1155 | 1153 | # # # plt.subplot(311) |
|
|
1156 | 1154 | # # # #plt.plot(xFrec,phase[0]) |
|
|
1157 | 1155 | # # # plt.plot(xFrec,phase[0],'g') |
|
|
1158 | 1156 | # # # plt.subplot(312) |
|
|
1159 | 1157 | # # # plt.plot(xFrec,phase[1],'g') |
|
|
1160 | 1158 | # # # plt.subplot(313) |
|
|
1161 | 1159 | # # # plt.plot(xFrec,phase[2],'g') |
|
|
1162 | 1160 | # # # #plt.plot(xFrec,phase[2]) |
|
|
1163 | 1161 | # # # |
|
|
1164 | 1162 | # # # plt.figure(4) |
|
|
1165 | 1163 | # # # |
|
|
1166 | 1164 | # # # plt.plot(xSamples,coherence[0],'b') |
|
|
1167 | 1165 | # # # plt.plot(xSamples,coherence[1],'r') |
|
|
1168 | 1166 | # # # plt.plot(xSamples,coherence[2],'g') |
|
|
1169 | 1167 | # # plt.show() |
|
|
1170 | 1168 | # # # |
|
|
1171 | 1169 | # # # plt.clf() |
|
|
1172 | 1170 | # # # plt.cla() |
|
|
1173 | 1171 | # # # plt.close() |
|
|
1174 | 1172 | # |
|
|
1175 | 1173 | # print ' ' |
|
|
1176 | 1174 | |
|
|
1177 | 1175 | self.BlockCounter += 2 |
|
|
1178 | 1176 | |
|
|
1179 | 1177 | else: |
|
|
1180 | 1178 | self.fileSelector += 1 |
|
|
1181 | 1179 | self.BlockCounter = 0 |
|
|
1182 | 1180 | print "Next File" |
| @@ -1,802 +1,800 | |||
|
|
1 | 1 | import os |
|
|
2 | 2 | import sys |
|
|
3 | 3 | import glob |
|
|
4 | 4 | import fnmatch |
|
|
5 | 5 | import datetime |
|
|
6 | 6 | import time |
|
|
7 | 7 | import re |
|
|
8 | 8 | import h5py |
|
|
9 | 9 | import numpy |
|
|
10 | 10 | |
|
|
11 | 11 | from scipy.optimize import curve_fit |
|
|
12 | 12 | from scipy import asarray as ar, exp |
|
|
13 | 13 | from scipy import stats |
|
|
14 | 14 | |
|
|
15 | 15 | from numpy.ma.core import getdata |
|
|
16 | 16 | |
|
|
17 | 17 | SPEED_OF_LIGHT = 299792458 |
|
|
18 | 18 | SPEED_OF_LIGHT = 3e8 |
|
|
19 | 19 | |
|
|
20 | 20 | try: |
|
|
21 | 21 | from gevent import sleep |
|
|
22 | 22 | except: |
|
|
23 | 23 | from time import sleep |
|
|
24 | 24 | |
|
|
25 | 25 | from schainpy.model.data.jrodata import Spectra |
|
|
26 | 26 | #from schainpy.model.data.BLTRheaderIO import FileHeader, RecordHeader |
|
|
27 | 27 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
28 | 28 | #from schainpy.model.io.jroIO_bltr import BLTRReader |
|
|
29 | 29 | from numpy import imag, shape, NaN, empty |
|
|
30 | 30 | |
|
|
31 | 31 | |
|
|
32 | 32 | class Header(object): |
|
|
33 | 33 | |
|
|
34 | 34 | def __init__(self): |
|
|
35 | 35 | raise NotImplementedError |
|
|
36 | 36 | |
|
|
37 | 37 | def read(self): |
|
|
38 | 38 | |
|
|
39 | 39 | raise NotImplementedError |
|
|
40 | 40 | |
|
|
41 | 41 | def write(self): |
|
|
42 | 42 | |
|
|
43 | 43 | raise NotImplementedError |
|
|
44 | 44 | |
|
|
45 | 45 | def printInfo(self): |
|
|
46 | 46 | |
|
|
47 | 47 | message = "#" * 50 + "\n" |
|
|
48 | 48 | message += self.__class__.__name__.upper() + "\n" |
|
|
49 | 49 | message += "#" * 50 + "\n" |
|
|
50 | 50 | |
|
|
51 | 51 | keyList = self.__dict__.keys() |
|
|
52 | 52 | keyList.sort() |
|
|
53 | 53 | |
|
|
54 | 54 | for key in keyList: |
|
|
55 | 55 | message += "%s = %s" % (key, self.__dict__[key]) + "\n" |
|
|
56 | 56 | |
|
|
57 | 57 | if "size" not in keyList: |
|
|
58 | 58 | attr = getattr(self, "size") |
|
|
59 | 59 | |
|
|
60 | 60 | if attr: |
|
|
61 | 61 | message += "%s = %s" % ("size", attr) + "\n" |
|
|
62 | 62 | |
|
|
63 | 63 | # print message |
|
|
64 | 64 | |
|
|
65 | 65 | |
|
|
66 | 66 | FILE_HEADER = numpy.dtype([ # HEADER 1024bytes |
|
|
67 | 67 | ('Hname', 'a32'), # Original file name |
|
|
68 | 68 | # Date and time when the file was created |
|
|
69 | 69 | ('Htime', numpy.str_, 32), |
|
|
70 | 70 | # Name of operator who created the file |
|
|
71 | 71 | ('Hoper', numpy.str_, 64), |
|
|
72 | 72 | # Place where the measurements was carried out |
|
|
73 | 73 | ('Hplace', numpy.str_, 128), |
|
|
74 | 74 | # Description of measurements |
|
|
75 | 75 | ('Hdescr', numpy.str_, 256), |
|
|
76 | 76 | ('Hdummy', numpy.str_, 512), # Reserved space |
|
|
77 | 77 | # Main chunk 8bytes |
|
|
78 | 78 | # Main chunk signature FZKF or NUIG |
|
|
79 | 79 | ('Msign', numpy.str_, 4), |
|
|
80 | 80 | ('MsizeData', '<i4'), # Size of data block main chunk |
|
|
81 | 81 | # Processing DSP parameters 36bytes |
|
|
82 | 82 | ('PPARsign', numpy.str_, 4), # PPAR signature |
|
|
83 | 83 | ('PPARsize', '<i4'), # PPAR size of block |
|
|
84 | 84 | ('PPARprf', '<i4'), # Pulse repetition frequency |
|
|
85 | 85 | ('PPARpdr', '<i4'), # Pulse duration |
|
|
86 | 86 | ('PPARsft', '<i4'), # FFT length |
|
|
87 | 87 | # Number of spectral (in-coherent) averages |
|
|
88 | 88 | ('PPARavc', '<i4'), |
|
|
89 | 89 | # Number of lowest range gate for moment estimation |
|
|
90 | 90 | ('PPARihp', '<i4'), |
|
|
91 | 91 | # Count for gates for moment estimation |
|
|
92 | 92 | ('PPARchg', '<i4'), |
|
|
93 | 93 | # switch on/off polarimetric measurements. Should be 1. |
|
|
94 | 94 | ('PPARpol', '<i4'), |
|
|
95 | 95 | # Service DSP parameters 112bytes |
|
|
96 | 96 | # STC attenuation on the lowest ranges on/off |
|
|
97 | 97 | ('SPARatt', '<i4'), |
|
|
98 | 98 | ('SPARtx', '<i4'), # OBSOLETE |
|
|
99 | 99 | ('SPARaddGain0', '<f4'), # OBSOLETE |
|
|
100 | 100 | ('SPARaddGain1', '<f4'), # OBSOLETE |
|
|
101 | 101 | # Debug only. It normal mode it is 0. |
|
|
102 | 102 | ('SPARwnd', '<i4'), |
|
|
103 | 103 | # Delay between sync pulse and tx pulse for phase corr, ns |
|
|
104 | 104 | ('SPARpos', '<i4'), |
|
|
105 | 105 | # "add to pulse" to compensate for delay between the leading edge of driver pulse and envelope of the RF signal. |
|
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106 | 106 | ('SPARadd', '<i4'), |
|
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107 | 107 | # Time for measuring txn pulse phase. OBSOLETE |
|
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108 | 108 | ('SPARlen', '<i4'), |
|
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109 | 109 | ('SPARcal', '<i4'), # OBSOLETE |
|
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110 | 110 | ('SPARnos', '<i4'), # OBSOLETE |
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111 | 111 | ('SPARof0', '<i4'), # detection threshold |
|
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112 | 112 | ('SPARof1', '<i4'), # OBSOLETE |
|
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113 | 113 | ('SPARswt', '<i4'), # 2nd moment estimation threshold |
|
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114 | 114 | ('SPARsum', '<i4'), # OBSOLETE |
|
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115 | 115 | ('SPARosc', '<i4'), # flag Oscillosgram mode |
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116 | 116 | ('SPARtst', '<i4'), # OBSOLETE |
|
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117 | 117 | ('SPARcor', '<i4'), # OBSOLETE |
|
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118 | 118 | ('SPARofs', '<i4'), # OBSOLETE |
|
|
119 | 119 | # Hildebrand div noise detection on noise gate |
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120 | 120 | ('SPARhsn', '<i4'), |
|
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121 | 121 | # Hildebrand div noise detection on all gates |
|
|
122 | 122 | ('SPARhsa', '<f4'), |
|
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123 | 123 | ('SPARcalibPow_M', '<f4'), # OBSOLETE |
|
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124 | 124 | ('SPARcalibSNR_M', '<f4'), # OBSOLETE |
|
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125 | 125 | ('SPARcalibPow_S', '<f4'), # OBSOLETE |
|
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126 | 126 | ('SPARcalibSNR_S', '<f4'), # OBSOLETE |
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127 | 127 | # Lowest range gate for spectra saving Raw_Gate1 >=5 |
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128 | 128 | ('SPARrawGate1', '<i4'), |
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129 | 129 | # Number of range gates with atmospheric signal |
|
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130 | 130 | ('SPARrawGate2', '<i4'), |
|
|
131 | 131 | # flag - IQ or spectra saving on/off |
|
|
132 | 132 | ('SPARraw', '<i4'), |
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|
133 | 133 | ('SPARprc', '<i4'), ]) # flag - Moment estimation switched on/off |
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134 | 134 | |
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135 | 135 | |
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|
136 | 136 | class FileHeaderMIRA35c(Header): |
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137 | 137 | |
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138 | 138 | def __init__(self): |
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139 | 139 | |
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140 | 140 | self.Hname = None |
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141 | 141 | self.Htime = None |
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142 | 142 | self.Hoper = None |
|
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143 | 143 | self.Hplace = None |
|
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144 | 144 | self.Hdescr = None |
|
|
145 | 145 | self.Hdummy = None |
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|
146 | 146 | |
|
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147 | 147 | self.Msign = None |
|
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148 | 148 | self.MsizeData = None |
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149 | 149 | |
|
|
150 | 150 | self.PPARsign = None |
|
|
151 | 151 | self.PPARsize = None |
|
|
152 | 152 | self.PPARprf = None |
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153 | 153 | self.PPARpdr = None |
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154 | 154 | self.PPARsft = None |
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155 | 155 | self.PPARavc = None |
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156 | 156 | self.PPARihp = None |
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|
157 | 157 | self.PPARchg = None |
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158 | 158 | self.PPARpol = None |
|
|
159 | 159 | # Service DSP parameters |
|
|
160 | 160 | self.SPARatt = None |
|
|
161 | 161 | self.SPARtx = None |
|
|
162 | 162 | self.SPARaddGain0 = None |
|
|
163 | 163 | self.SPARaddGain1 = None |
|
|
164 | 164 | self.SPARwnd = None |
|
|
165 | 165 | self.SPARpos = None |
|
|
166 | 166 | self.SPARadd = None |
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|
167 | 167 | self.SPARlen = None |
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168 | 168 | self.SPARcal = None |
|
|
169 | 169 | self.SPARnos = None |
|
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170 | 170 | self.SPARof0 = None |
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171 | 171 | self.SPARof1 = None |
|
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172 | 172 | self.SPARswt = None |
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173 | 173 | self.SPARsum = None |
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|
174 | 174 | self.SPARosc = None |
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|
175 | 175 | self.SPARtst = None |
|
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176 | 176 | self.SPARcor = None |
|
|
177 | 177 | self.SPARofs = None |
|
|
178 | 178 | self.SPARhsn = None |
|
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179 | 179 | self.SPARhsa = None |
|
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180 | 180 | self.SPARcalibPow_M = None |
|
|
181 | 181 | self.SPARcalibSNR_M = None |
|
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182 | 182 | self.SPARcalibPow_S = None |
|
|
183 | 183 | self.SPARcalibSNR_S = None |
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|
184 | 184 | self.SPARrawGate1 = None |
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185 | 185 | self.SPARrawGate2 = None |
|
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186 | 186 | self.SPARraw = None |
|
|
187 | 187 | self.SPARprc = None |
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188 | 188 | |
|
|
189 | 189 | self.FHsize = 1180 |
|
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190 | 190 | |
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191 | 191 | def FHread(self, fp): |
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192 | 192 | |
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193 | 193 | header = numpy.fromfile(fp, FILE_HEADER, 1) |
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194 | 194 | ''' numpy.fromfile(file, dtype, count, sep='') |
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195 | 195 | file : file or str |
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196 | 196 | Open file object or filename. |
|
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197 | 197 | |
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198 | 198 | dtype : data-type |
|
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199 | 199 | Data type of the returned array. For binary files, it is used to determine |
|
|
200 | 200 | the size and byte-order of the items in the file. |
|
|
201 | 201 | |
|
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202 | 202 | count : int |
|
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203 | 203 | Number of items to read. -1 means all items (i.e., the complete file). |
|
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204 | 204 | |
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205 | 205 | sep : str |
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206 | 206 | Separator between items if file is a text file. Empty ("") separator means |
|
|
207 | 207 | the file should be treated as binary. Spaces (" ") in the separator match zero |
|
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208 | 208 | or more whitespace characters. A separator consisting only of spaces must match |
|
|
209 | 209 | at least one whitespace. |
|
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210 | 210 | |
|
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211 | 211 | ''' |
|
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212 | 212 | |
|
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213 | 213 | self.Hname = str(header['Hname'][0]) |
|
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214 | 214 | self.Htime = str(header['Htime'][0]) |
|
|
215 | 215 | self.Hoper = str(header['Hoper'][0]) |
|
|
216 | 216 | self.Hplace = str(header['Hplace'][0]) |
|
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217 | 217 | self.Hdescr = str(header['Hdescr'][0]) |
|
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218 | 218 | self.Hdummy = str(header['Hdummy'][0]) |
|
|
219 | 219 | # 1024 |
|
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220 | 220 | |
|
|
221 | 221 | self.Msign = str(header['Msign'][0]) |
|
|
222 | 222 | self.MsizeData = header['MsizeData'][0] |
|
|
223 | 223 | # 8 |
|
|
224 | 224 | |
|
|
225 | 225 | self.PPARsign = str(header['PPARsign'][0]) |
|
|
226 | 226 | self.PPARsize = header['PPARsize'][0] |
|
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227 | 227 | self.PPARprf = header['PPARprf'][0] |
|
|
228 | 228 | self.PPARpdr = header['PPARpdr'][0] |
|
|
229 | 229 | self.PPARsft = header['PPARsft'][0] |
|
|
230 | 230 | self.PPARavc = header['PPARavc'][0] |
|
|
231 | 231 | self.PPARihp = header['PPARihp'][0] |
|
|
232 | 232 | self.PPARchg = header['PPARchg'][0] |
|
|
233 | 233 | self.PPARpol = header['PPARpol'][0] |
|
|
234 | 234 | # Service DSP parameters |
|
|
235 | 235 | # 36 |
|
|
236 | 236 | |
|
|
237 | 237 | self.SPARatt = header['SPARatt'][0] |
|
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238 | 238 | self.SPARtx = header['SPARtx'][0] |
|
|
239 | 239 | self.SPARaddGain0 = header['SPARaddGain0'][0] |
|
|
240 | 240 | self.SPARaddGain1 = header['SPARaddGain1'][0] |
|
|
241 | 241 | self.SPARwnd = header['SPARwnd'][0] |
|
|
242 | 242 | self.SPARpos = header['SPARpos'][0] |
|
|
243 | 243 | self.SPARadd = header['SPARadd'][0] |
|
|
244 | 244 | self.SPARlen = header['SPARlen'][0] |
|
|
245 | 245 | self.SPARcal = header['SPARcal'][0] |
|
|
246 | 246 | self.SPARnos = header['SPARnos'][0] |
|
|
247 | 247 | self.SPARof0 = header['SPARof0'][0] |
|
|
248 | 248 | self.SPARof1 = header['SPARof1'][0] |
|
|
249 | 249 | self.SPARswt = header['SPARswt'][0] |
|
|
250 | 250 | self.SPARsum = header['SPARsum'][0] |
|
|
251 | 251 | self.SPARosc = header['SPARosc'][0] |
|
|
252 | 252 | self.SPARtst = header['SPARtst'][0] |
|
|
253 | 253 | self.SPARcor = header['SPARcor'][0] |
|
|
254 | 254 | self.SPARofs = header['SPARofs'][0] |
|
|
255 | 255 | self.SPARhsn = header['SPARhsn'][0] |
|
|
256 | 256 | self.SPARhsa = header['SPARhsa'][0] |
|
|
257 | 257 | self.SPARcalibPow_M = header['SPARcalibPow_M'][0] |
|
|
258 | 258 | self.SPARcalibSNR_M = header['SPARcalibSNR_M'][0] |
|
|
259 | 259 | self.SPARcalibPow_S = header['SPARcalibPow_S'][0] |
|
|
260 | 260 | self.SPARcalibSNR_S = header['SPARcalibSNR_S'][0] |
|
|
261 | 261 | self.SPARrawGate1 = header['SPARrawGate1'][0] |
|
|
262 | 262 | self.SPARrawGate2 = header['SPARrawGate2'][0] |
|
|
263 | 263 | self.SPARraw = header['SPARraw'][0] |
|
|
264 | 264 | self.SPARprc = header['SPARprc'][0] |
|
|
265 | 265 | # 112 |
|
|
266 | 266 | # 1180 |
|
|
267 | 267 | # print 'Pointer fp header', fp.tell() |
|
|
268 | 268 | # print ' ' |
|
|
269 | 269 | # print 'SPARrawGate' |
|
|
270 | 270 | # print self.SPARrawGate2 - self.SPARrawGate1 |
|
|
271 | 271 | |
|
|
272 | 272 | # print ' ' |
|
|
273 | 273 | # print 'Hname' |
|
|
274 | 274 | # print self.Hname |
|
|
275 | 275 | |
|
|
276 | 276 | # print ' ' |
|
|
277 | 277 | # print 'Msign' |
|
|
278 | 278 | # print self.Msign |
|
|
279 | 279 | |
|
|
280 | 280 | def write(self, fp): |
|
|
281 | 281 | |
|
|
282 | 282 | headerTuple = (self.Hname, |
|
|
283 | 283 | self.Htime, |
|
|
284 | 284 | self.Hoper, |
|
|
285 | 285 | self.Hplace, |
|
|
286 | 286 | self.Hdescr, |
|
|
287 | 287 | self.Hdummy) |
|
|
288 | 288 | |
|
|
289 | 289 | header = numpy.array(headerTuple, FILE_HEADER) |
|
|
290 | 290 | # numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) |
|
|
291 | 291 | header.tofile(fp) |
|
|
292 | 292 | ''' ndarray.tofile(fid, sep, format) Write array to a file as text or binary (default). |
|
|
293 | 293 | |
|
|
294 | 294 | fid : file or str |
|
|
295 | 295 | An open file object, or a string containing a filename. |
|
|
296 | 296 | |
|
|
297 | 297 | sep : str |
|
|
298 | 298 | Separator between array items for text output. If "" (empty), a binary file is written, |
|
|
299 | 299 | equivalent to file.write(a.tobytes()). |
|
|
300 | 300 | |
|
|
301 | 301 | format : str |
|
|
302 | 302 | Format string for text file output. Each entry in the array is formatted to text by |
|
|
303 | 303 | first converting it to the closest Python type, and then using "format" % item. |
|
|
304 | 304 | |
|
|
305 | 305 | ''' |
|
|
306 | 306 | |
|
|
307 | 307 | return 1 |
|
|
308 | 308 | |
|
|
309 | 309 | |
|
|
310 | 310 | SRVI_HEADER = numpy.dtype([ |
|
|
311 | 311 | ('SignatureSRVI1', numpy.str_, 4), |
|
|
312 | 312 | ('SizeOfDataBlock1', '<i4'), |
|
|
313 | 313 | ('DataBlockTitleSRVI1', numpy.str_, 4), |
|
|
314 | 314 | ('SizeOfSRVI1', '<i4'), ]) |
|
|
315 | 315 | |
|
|
316 | 316 | |
|
|
317 | 317 | class SRVIHeader(Header): |
|
|
318 | 318 | def __init__(self, SignatureSRVI1=0, SizeOfDataBlock1=0, DataBlockTitleSRVI1=0, SizeOfSRVI1=0): |
|
|
319 | 319 | |
|
|
320 | 320 | self.SignatureSRVI1 = SignatureSRVI1 |
|
|
321 | 321 | self.SizeOfDataBlock1 = SizeOfDataBlock1 |
|
|
322 | 322 | self.DataBlockTitleSRVI1 = DataBlockTitleSRVI1 |
|
|
323 | 323 | self.SizeOfSRVI1 = SizeOfSRVI1 |
|
|
324 | 324 | |
|
|
325 | 325 | self.SRVIHsize = 16 |
|
|
326 | 326 | |
|
|
327 | 327 | def SRVIread(self, fp): |
|
|
328 | 328 | |
|
|
329 | 329 | header = numpy.fromfile(fp, SRVI_HEADER, 1) |
|
|
330 | 330 | |
|
|
331 | 331 | self.SignatureSRVI1 = str(header['SignatureSRVI1'][0]) |
|
|
332 | 332 | self.SizeOfDataBlock1 = header['SizeOfDataBlock1'][0] |
|
|
333 | 333 | self.DataBlockTitleSRVI1 = str(header['DataBlockTitleSRVI1'][0]) |
|
|
334 | 334 | self.SizeOfSRVI1 = header['SizeOfSRVI1'][0] |
|
|
335 | 335 | # 16 |
|
|
336 | 336 | print 'Pointer fp SRVIheader', fp.tell() |
|
|
337 | 337 | |
|
|
338 | 338 | |
|
|
339 | 339 | SRVI_STRUCTURE = numpy.dtype([ |
|
|
340 | 340 | ('frame_cnt', '<u4'), |
|
|
341 | 341 | ('time_t', '<u4'), # |
|
|
342 | 342 | ('tpow', '<f4'), # |
|
|
343 | 343 | ('npw1', '<f4'), # |
|
|
344 | 344 | ('npw2', '<f4'), # |
|
|
345 | 345 | ('cpw1', '<f4'), # |
|
|
346 | 346 | ('pcw2', '<f4'), # |
|
|
347 | 347 | ('ps_err', '<u4'), # |
|
|
348 | 348 | ('te_err', '<u4'), # |
|
|
349 | 349 | ('rc_err', '<u4'), # |
|
|
350 | 350 | ('grs1', '<u4'), # |
|
|
351 | 351 | ('grs2', '<u4'), # |
|
|
352 | 352 | ('azipos', '<f4'), # |
|
|
353 | 353 | ('azivel', '<f4'), # |
|
|
354 | 354 | ('elvpos', '<f4'), # |
|
|
355 | 355 | ('elvvel', '<f4'), # |
|
|
356 | 356 | ('northAngle', '<f4'), |
|
|
357 | 357 | ('microsec', '<u4'), # |
|
|
358 | 358 | ('azisetvel', '<f4'), # |
|
|
359 | 359 | ('elvsetpos', '<f4'), # |
|
|
360 | 360 | ('RadarConst', '<f4'), ]) # |
|
|
361 | 361 | |
|
|
362 | 362 | |
|
|
363 | 363 | class RecordHeader(Header): |
|
|
364 | 364 | |
|
|
365 | 365 | def __init__(self, frame_cnt=0, time_t=0, tpow=0, npw1=0, npw2=0, |
|
|
366 | 366 | cpw1=0, pcw2=0, ps_err=0, te_err=0, rc_err=0, grs1=0, |
|
|
367 | 367 | grs2=0, azipos=0, azivel=0, elvpos=0, elvvel=0, northangle=0, |
|
|
368 | 368 | microsec=0, azisetvel=0, elvsetpos=0, RadarConst=0, RecCounter=0, Off2StartNxtRec=0): |
|
|
369 | 369 | |
|
|
370 | 370 | self.frame_cnt = frame_cnt |
|
|
371 | 371 | self.dwell = time_t |
|
|
372 | 372 | self.tpow = tpow |
|
|
373 | 373 | self.npw1 = npw1 |
|
|
374 | 374 | self.npw2 = npw2 |
|
|
375 | 375 | self.cpw1 = cpw1 |
|
|
376 | 376 | self.pcw2 = pcw2 |
|
|
377 | 377 | self.ps_err = ps_err |
|
|
378 | 378 | self.te_err = te_err |
|
|
379 | 379 | self.rc_err = rc_err |
|
|
380 | 380 | self.grs1 = grs1 |
|
|
381 | 381 | self.grs2 = grs2 |
|
|
382 | 382 | self.azipos = azipos |
|
|
383 | 383 | self.azivel = azivel |
|
|
384 | 384 | self.elvpos = elvpos |
|
|
385 | 385 | self.elvvel = elvvel |
|
|
386 | 386 | self.northAngle = northangle |
|
|
387 | 387 | self.microsec = microsec |
|
|
388 | 388 | self.azisetvel = azisetvel |
|
|
389 | 389 | self.elvsetpos = elvsetpos |
|
|
390 | 390 | self.RadarConst = RadarConst |
|
|
391 | 391 | self.RHsize = 84 |
|
|
392 | 392 | self.RecCounter = RecCounter |
|
|
393 | 393 | self.Off2StartNxtRec = Off2StartNxtRec |
|
|
394 | 394 | |
|
|
395 | 395 | def RHread(self, fp): |
|
|
396 | 396 | |
|
|
397 | 397 | # startFp = open(fp,"rb") #The method tell() returns the current position of the file read/write pointer within the file. |
|
|
398 | 398 | |
|
|
399 | 399 | #OffRHeader= 1180 + self.RecCounter*(self.Off2StartNxtRec) |
|
|
400 | 400 | #startFp.seek(OffRHeader, os.SEEK_SET) |
|
|
401 | 401 | |
|
|
402 | 402 | # print 'Posicion del bloque: ',OffRHeader |
|
|
403 | 403 | |
|
|
404 | 404 | header = numpy.fromfile(fp, SRVI_STRUCTURE, 1) |
|
|
405 | 405 | |
|
|
406 | 406 | self.frame_cnt = header['frame_cnt'][0] |
|
|
407 | 407 | self.time_t = header['time_t'][0] # |
|
|
408 | 408 | self.tpow = header['tpow'][0] # |
|
|
409 | 409 | self.npw1 = header['npw1'][0] # |
|
|
410 | 410 | self.npw2 = header['npw2'][0] # |
|
|
411 | 411 | self.cpw1 = header['cpw1'][0] # |
|
|
412 | 412 | self.pcw2 = header['pcw2'][0] # |
|
|
413 | 413 | self.ps_err = header['ps_err'][0] # |
|
|
414 | 414 | self.te_err = header['te_err'][0] # |
|
|
415 | 415 | self.rc_err = header['rc_err'][0] # |
|
|
416 | 416 | self.grs1 = header['grs1'][0] # |
|
|
417 | 417 | self.grs2 = header['grs2'][0] # |
|
|
418 | 418 | self.azipos = header['azipos'][0] # |
|
|
419 | 419 | self.azivel = header['azivel'][0] # |
|
|
420 | 420 | self.elvpos = header['elvpos'][0] # |
|
|
421 | 421 | self.elvvel = header['elvvel'][0] # |
|
|
422 | 422 | self.northAngle = header['northAngle'][0] # |
|
|
423 | 423 | self.microsec = header['microsec'][0] # |
|
|
424 | 424 | self.azisetvel = header['azisetvel'][0] # |
|
|
425 | 425 | self.elvsetpos = header['elvsetpos'][0] # |
|
|
426 | 426 | self.RadarConst = header['RadarConst'][0] # |
|
|
427 | 427 | # 84 |
|
|
428 | 428 | |
|
|
429 | 429 | # print 'Pointer fp RECheader', fp.tell() |
|
|
430 | 430 | |
|
|
431 | 431 | #self.ipp= 0.5*(SPEED_OF_LIGHT/self.PRFhz) |
|
|
432 | 432 | |
|
|
433 | 433 | #self.RHsize = 180+20*self.nChannels |
|
|
434 | 434 | #self.Datasize= self.nProfiles*self.nChannels*self.nHeights*2*4 |
|
|
435 | 435 | # print 'Datasize',self.Datasize |
|
|
436 | 436 | #endFp = self.OffsetStartHeader + self.RecCounter*self.Off2StartNxtRec |
|
|
437 | 437 | |
|
|
438 | 438 | print '==============================================' |
|
|
439 | 439 | |
|
|
440 | 440 | print '==============================================' |
|
|
441 | 441 | |
|
|
442 | 442 | return 1 |
|
|
443 | 443 | |
|
|
444 | 444 | |
|
|
445 | 445 | class MIRA35CReader (ProcessingUnit, FileHeaderMIRA35c, SRVIHeader, RecordHeader): |
|
|
446 | 446 | |
|
|
447 | 447 | path = None |
|
|
448 | 448 | startDate = None |
|
|
449 | 449 | endDate = None |
|
|
450 | 450 | startTime = None |
|
|
451 | 451 | endTime = None |
|
|
452 | 452 | walk = None |
|
|
453 | 453 | isConfig = False |
|
|
454 | 454 | |
|
|
455 | 455 | fileList = None |
|
|
456 | 456 | |
|
|
457 | 457 | # metadata |
|
|
458 | 458 | TimeZone = None |
|
|
459 | 459 | Interval = None |
|
|
460 | 460 | heightList = None |
|
|
461 | 461 | |
|
|
462 | 462 | # data |
|
|
463 | 463 | data = None |
|
|
464 | 464 | utctime = None |
|
|
465 | 465 | |
|
|
466 | 466 | def __init__(self, **kwargs): |
|
|
467 | 467 | |
|
|
468 | 468 | # Eliminar de la base la herencia |
|
|
469 | 469 | ProcessingUnit.__init__(self, **kwargs) |
|
|
470 | 470 | self.PointerReader = 0 |
|
|
471 | 471 | self.FileHeaderFlag = False |
|
|
472 | 472 | self.utc = None |
|
|
473 | 473 | self.ext = ".zspca" |
|
|
474 | 474 | self.optchar = "P" |
|
|
475 | 475 | self.fpFile = None |
|
|
476 | 476 | self.fp = None |
|
|
477 | 477 | self.BlockCounter = 0 |
|
|
478 | 478 | self.dtype = None |
|
|
479 | 479 | self.fileSizeByHeader = None |
|
|
480 | 480 | self.filenameList = [] |
|
|
481 | 481 | self.fileSelector = 0 |
|
|
482 | 482 | self.Off2StartNxtRec = 0 |
|
|
483 | 483 | self.RecCounter = 0 |
|
|
484 | 484 | self.flagNoMoreFiles = 0 |
|
|
485 | 485 | self.data_spc = None |
|
|
486 | 486 | # self.data_cspc=None |
|
|
487 | 487 | self.data_output = None |
|
|
488 | 488 | self.path = None |
|
|
489 | 489 | self.OffsetStartHeader = 0 |
|
|
490 | 490 | self.Off2StartData = 0 |
|
|
491 | 491 | self.ipp = 0 |
|
|
492 | 492 | self.nFDTdataRecors = 0 |
|
|
493 | 493 | self.blocksize = 0 |
|
|
494 | 494 | self.dataOut = Spectra() |
|
|
495 | 495 | self.profileIndex = 1 # Always |
|
|
496 | 496 | self.dataOut.flagNoData = False |
|
|
497 | self.dataOut.nRdPairs = 0 | |
|
|
498 |
self.dataOut. |
|
|
|
499 | self.dataOut.data_spc = None | |
|
|
500 | ||
|
|
501 | self.dataOut.normFactor = 1 | |
|
|
497 | self.dataOut.nRdPairs = 0 | |
|
|
498 | self.dataOut.data_spc = None | |
|
|
502 | 499 | self.nextfileflag = True |
|
|
503 | 500 | self.dataOut.RadarConst = 0 |
|
|
504 | 501 | self.dataOut.HSDV = [] |
|
|
505 | 502 | self.dataOut.NPW = [] |
|
|
506 | 503 | self.dataOut.COFA = [] |
|
|
507 | self.dataOut.noise = 0 | |
|
|
504 | # self.dataOut.noise = 0 | |
|
|
508 | 505 | |
|
|
509 | 506 | def Files2Read(self, fp): |
|
|
510 | 507 | ''' |
|
|
511 | 508 | Function that indicates the number of .fdt files that exist in the folder to be read. |
|
|
512 | 509 | It also creates an organized list with the names of the files to read. |
|
|
513 | 510 | ''' |
|
|
514 | 511 | # self.__checkPath() |
|
|
515 | 512 | |
|
|
516 | 513 | # Gets the list of files within the fp address |
|
|
517 | 514 | ListaData = os.listdir(fp) |
|
|
518 | 515 | # Sort the list of files from least to largest by names |
|
|
519 | 516 | ListaData = sorted(ListaData) |
|
|
520 | 517 | nFiles = 0 # File Counter |
|
|
521 | 518 | FileList = [] # A list is created that will contain the .fdt files |
|
|
522 | 519 | for IndexFile in ListaData: |
|
|
523 | 520 | if '.zspca' in IndexFile and '.gz' not in IndexFile: |
|
|
524 | 521 | FileList.append(IndexFile) |
|
|
525 | 522 | nFiles += 1 |
|
|
526 | 523 | |
|
|
527 | 524 | # print 'Files2Read' |
|
|
528 | 525 | # print 'Existen '+str(nFiles)+' archivos .fdt' |
|
|
529 | 526 | |
|
|
530 | 527 | self.filenameList = FileList # List of files from least to largest by names |
|
|
531 | 528 | |
|
|
532 | 529 | def run(self, **kwargs): |
|
|
533 | 530 | ''' |
|
|
534 | 531 | This method will be the one that will initiate the data entry, will be called constantly. |
|
|
535 | 532 | You should first verify that your Setup () is set up and then continue to acquire |
|
|
536 | 533 | the data to be processed with getData (). |
|
|
537 | 534 | ''' |
|
|
538 | 535 | if not self.isConfig: |
|
|
539 | 536 | self.setup(**kwargs) |
|
|
540 | 537 | self.isConfig = True |
|
|
541 | 538 | |
|
|
542 | 539 | self.getData() |
|
|
543 | 540 | |
|
|
544 | 541 | def setup(self, path=None, |
|
|
545 | 542 | startDate=None, |
|
|
546 | 543 | endDate=None, |
|
|
547 | 544 | startTime=None, |
|
|
548 | 545 | endTime=None, |
|
|
549 | 546 | walk=True, |
|
|
550 | 547 | timezone='utc', |
|
|
551 | 548 | code=None, |
|
|
552 | 549 | online=False, |
|
|
553 | 550 | ReadMode=None, **kwargs): |
|
|
554 | 551 | |
|
|
555 | 552 | self.isConfig = True |
|
|
556 | 553 | |
|
|
557 | 554 | self.path = path |
|
|
558 | 555 | self.startDate = startDate |
|
|
559 | 556 | self.endDate = endDate |
|
|
560 | 557 | self.startTime = startTime |
|
|
561 | 558 | self.endTime = endTime |
|
|
562 | 559 | self.walk = walk |
|
|
563 | 560 | # self.ReadMode=int(ReadMode) |
|
|
564 | 561 | |
|
|
565 | 562 | pass |
|
|
566 | 563 | |
|
|
567 | 564 | def getData(self): |
|
|
568 | 565 | ''' |
|
|
569 | 566 | Before starting this function, you should check that there is still an unread file, |
|
|
570 | 567 | If there are still blocks to read or if the data block is empty. |
|
|
571 | 568 | |
|
|
572 | 569 | You should call the file "read". |
|
|
573 | 570 | |
|
|
574 | 571 | ''' |
|
|
575 | 572 | |
|
|
576 | 573 | if self.flagNoMoreFiles: |
|
|
577 | 574 | self.dataOut.flagNoData = True |
|
|
578 | 575 | print 'NoData se vuelve true' |
|
|
579 | 576 | return 0 |
|
|
580 | 577 | |
|
|
581 | 578 | self.fp = self.path |
|
|
582 | 579 | self.Files2Read(self.fp) |
|
|
583 | 580 | self.readFile(self.fp) |
|
|
584 | 581 | |
|
|
585 | 582 | self.dataOut.data_spc = self.dataOut_spc # self.data_spc.copy() |
|
|
586 | 583 | self.dataOut.RadarConst = self.RadarConst |
|
|
587 | 584 | self.dataOut.data_output = self.data_output |
|
|
588 | 585 | self.dataOut.noise = self.dataOut.getNoise() |
|
|
589 | 586 | # print 'ACAAAAAA', self.dataOut.noise |
|
|
590 | 587 | self.dataOut.data_spc = self.dataOut.data_spc + self.dataOut.noise |
|
|
588 | self.dataOut.normFactor = 1 | |
|
|
591 | 589 | # print 'self.dataOut.noise',self.dataOut.noise |
|
|
592 | 590 | |
|
|
593 | 591 | return self.dataOut.data_spc |
|
|
594 | 592 | |
|
|
595 | 593 | def readFile(self, fp): |
|
|
596 | 594 | ''' |
|
|
597 | 595 | You must indicate if you are reading in Online or Offline mode and load the |
|
|
598 | 596 | The parameters for this file reading mode. |
|
|
599 | 597 | |
|
|
600 | 598 | Then you must do 2 actions: |
|
|
601 | 599 | |
|
|
602 | 600 | 1. Get the BLTR FileHeader. |
|
|
603 | 601 | 2. Start reading the first block. |
|
|
604 | 602 | ''' |
|
|
605 | 603 | |
|
|
606 | 604 | # The address of the folder is generated the name of the .fdt file that will be read |
|
|
607 | 605 | print "File: ", self.fileSelector + 1 |
|
|
608 | 606 | |
|
|
609 | 607 | if self.fileSelector < len(self.filenameList): |
|
|
610 | 608 | |
|
|
611 | 609 | self.fpFile = str(fp) + '/' + \ |
|
|
612 | 610 | str(self.filenameList[self.fileSelector]) |
|
|
613 | 611 | |
|
|
614 | 612 | if self.nextfileflag == True: |
|
|
615 | 613 | self.fp = open(self.fpFile, "rb") |
|
|
616 | 614 | self.nextfileflag == False |
|
|
617 | 615 | |
|
|
618 | 616 | '''HERE STARTING THE FILE READING''' |
|
|
619 | 617 | |
|
|
620 | 618 | self.fheader = FileHeaderMIRA35c() |
|
|
621 | 619 | self.fheader.FHread(self.fp) # Bltr FileHeader Reading |
|
|
622 | 620 | |
|
|
623 | 621 | self.SPARrawGate1 = self.fheader.SPARrawGate1 |
|
|
624 | 622 | self.SPARrawGate2 = self.fheader.SPARrawGate2 |
|
|
625 | 623 | self.Num_Hei = self.SPARrawGate2 - self.SPARrawGate1 |
|
|
626 | 624 | self.Num_Bins = self.fheader.PPARsft |
|
|
627 | 625 | self.dataOut.nFFTPoints = self.fheader.PPARsft |
|
|
628 | 626 | |
|
|
629 | 627 | self.Num_inCoh = self.fheader.PPARavc |
|
|
630 | 628 | self.dataOut.PRF = self.fheader.PPARprf |
|
|
631 | 629 | self.dataOut.frequency = 34.85 * 10**9 |
|
|
632 | 630 | self.Lambda = SPEED_OF_LIGHT / self.dataOut.frequency |
|
|
633 | 631 | self.dataOut.ippSeconds = 1. / float(self.dataOut.PRF) |
|
|
634 | 632 | |
|
|
635 | 633 | pulse_width = self.fheader.PPARpdr * 10**-9 |
|
|
636 | 634 | self.__deltaHeigth = 0.5 * SPEED_OF_LIGHT * pulse_width |
|
|
637 | 635 | |
|
|
638 | 636 | self.data_spc = numpy.zeros((self.Num_Hei, self.Num_Bins, 2)) |
|
|
639 | 637 | self.dataOut.HSDV = numpy.zeros((self.Num_Hei, 2)) |
|
|
640 | 638 | |
|
|
641 | 639 | self.Ze = numpy.zeros(self.Num_Hei) |
|
|
642 | 640 | self.ETA = numpy.zeros(([2, self.Num_Hei])) |
|
|
643 | 641 | |
|
|
644 | 642 | self.readBlock() # Block reading |
|
|
645 | 643 | |
|
|
646 | 644 | else: |
|
|
647 | 645 | print 'readFile FlagNoData becomes true' |
|
|
648 | 646 | self.flagNoMoreFiles = True |
|
|
649 | 647 | self.dataOut.flagNoData = True |
|
|
650 | 648 | self.FileHeaderFlag == True |
|
|
651 | 649 | return 0 |
|
|
652 | 650 | |
|
|
653 | 651 | def readBlock(self): |
|
|
654 | 652 | ''' |
|
|
655 | 653 | It should be checked if the block has data, if it is not passed to the next file. |
|
|
656 | 654 | |
|
|
657 | 655 | Then the following is done: |
|
|
658 | 656 | |
|
|
659 | 657 | 1. Read the RecordHeader |
|
|
660 | 658 | 2. Fill the buffer with the current block number. |
|
|
661 | 659 | |
|
|
662 | 660 | ''' |
|
|
663 | 661 | |
|
|
664 | 662 | if self.PointerReader > 1180: |
|
|
665 | 663 | self.fp.seek(self.PointerReader, os.SEEK_SET) |
|
|
666 | 664 | self.FirstPoint = self.PointerReader |
|
|
667 | 665 | |
|
|
668 | 666 | else: |
|
|
669 | 667 | self.FirstPoint = 1180 |
|
|
670 | 668 | |
|
|
671 | 669 | self.srviHeader = SRVIHeader() |
|
|
672 | 670 | |
|
|
673 | 671 | self.srviHeader.SRVIread(self.fp) # Se obtiene la cabecera del SRVI |
|
|
674 | 672 | |
|
|
675 | 673 | self.blocksize = self.srviHeader.SizeOfDataBlock1 # Se obtiene el tamao del bloque |
|
|
676 | 674 | |
|
|
677 | 675 | if self.blocksize == 148: |
|
|
678 | 676 | print 'blocksize == 148 bug' |
|
|
679 | 677 | jump = numpy.fromfile(self.fp, [('jump', numpy.str_, 140)], 1) |
|
|
680 | 678 | |
|
|
681 | 679 | # Se obtiene la cabecera del SRVI |
|
|
682 | 680 | self.srviHeader.SRVIread(self.fp) |
|
|
683 | 681 | |
|
|
684 | 682 | if not self.srviHeader.SizeOfSRVI1: |
|
|
685 | 683 | self.fileSelector += 1 |
|
|
686 | 684 | self.nextfileflag == True |
|
|
687 | 685 | self.FileHeaderFlag == True |
|
|
688 | 686 | |
|
|
689 | 687 | self.recordheader = RecordHeader() |
|
|
690 | 688 | self.recordheader.RHread(self.fp) |
|
|
691 | 689 | self.RadarConst = self.recordheader.RadarConst |
|
|
692 | 690 | dwell = self.recordheader.time_t |
|
|
693 | 691 | npw1 = self.recordheader.npw1 |
|
|
694 | 692 | npw2 = self.recordheader.npw2 |
|
|
695 | 693 | |
|
|
696 | 694 | self.dataOut.channelList = range(1) |
|
|
697 | 695 | self.dataOut.nIncohInt = self.Num_inCoh |
|
|
698 | 696 | self.dataOut.nProfiles = self.Num_Bins |
|
|
699 | 697 | self.dataOut.nCohInt = 1 |
|
|
700 | 698 | self.dataOut.windowOfFilter = 1 |
|
|
701 | 699 | self.dataOut.utctime = dwell |
|
|
702 | 700 | self.dataOut.timeZone = 0 |
|
|
703 | 701 | |
|
|
704 | 702 | self.dataOut.outputInterval = self.dataOut.getTimeInterval() |
|
|
705 | 703 | self.dataOut.heightList = self.SPARrawGate1 * self.__deltaHeigth + \ |
|
|
706 | 704 | numpy.array(range(self.Num_Hei)) * self.__deltaHeigth |
|
|
707 | 705 | |
|
|
708 | 706 | self.HSDVsign = numpy.fromfile(self.fp, [('HSDV', numpy.str_, 4)], 1) |
|
|
709 | 707 | self.SizeHSDV = numpy.fromfile(self.fp, [('SizeHSDV', '<i4')], 1) |
|
|
710 | 708 | self.HSDV_Co = numpy.fromfile( |
|
|
711 | 709 | self.fp, [('HSDV_Co', '<f4')], self.Num_Hei) |
|
|
712 | 710 | self.HSDV_Cx = numpy.fromfile( |
|
|
713 | 711 | self.fp, [('HSDV_Cx', '<f4')], self.Num_Hei) |
|
|
714 | 712 | |
|
|
715 | 713 | self.COFAsign = numpy.fromfile(self.fp, [('COFA', numpy.str_, 4)], 1) |
|
|
716 | 714 | self.SizeCOFA = numpy.fromfile(self.fp, [('SizeCOFA', '<i4')], 1) |
|
|
717 | 715 | self.COFA_Co = numpy.fromfile( |
|
|
718 | 716 | self.fp, [('COFA_Co', '<f4')], self.Num_Hei) |
|
|
719 | 717 | self.COFA_Cx = numpy.fromfile( |
|
|
720 | 718 | self.fp, [('COFA_Cx', '<f4')], self.Num_Hei) |
|
|
721 | 719 | |
|
|
722 | 720 | self.ZSPCsign = numpy.fromfile( |
|
|
723 | 721 | self.fp, [('ZSPCsign', numpy.str_, 4)], 1) |
|
|
724 | 722 | self.SizeZSPC = numpy.fromfile(self.fp, [('SizeZSPC', '<i4')], 1) |
|
|
725 | 723 | |
|
|
726 | 724 | self.dataOut.HSDV[0] = self.HSDV_Co[:][0] |
|
|
727 | 725 | self.dataOut.HSDV[1] = self.HSDV_Cx[:][0] |
|
|
728 | 726 | |
|
|
729 | 727 | for irg in range(self.Num_Hei): |
|
|
730 | 728 | # Number of spectral sub pieces containing significant power |
|
|
731 | 729 | nspc = numpy.fromfile(self.fp, [('nspc', 'int16')], 1)[0][0] |
|
|
732 | 730 | |
|
|
733 | 731 | for k in range(nspc): |
|
|
734 | 732 | # Index of the spectral bin where the piece is beginning |
|
|
735 | 733 | binIndex = numpy.fromfile( |
|
|
736 | 734 | self.fp, [('binIndex', 'int16')], 1)[0][0] |
|
|
737 | 735 | nbins = numpy.fromfile(self.fp, [('nbins', 'int16')], 1)[ |
|
|
738 | 736 | 0][0] # Number of bins of the piece |
|
|
739 | 737 | |
|
|
740 | 738 | # Co_Channel |
|
|
741 | 739 | jbin = numpy.fromfile(self.fp, [('jbin', 'uint16')], nbins)[ |
|
|
742 | 740 | 0][0] # Spectrum piece to be normaliced |
|
|
743 | 741 | jmax = numpy.fromfile(self.fp, [('jmax', 'float32')], 1)[ |
|
|
744 | 742 | 0][0] # Maximun piece to be normaliced |
|
|
745 | 743 | |
|
|
746 | 744 | self.data_spc[irg, binIndex:binIndex + nbins, 0] = self.data_spc[irg, |
|
|
747 | 745 | binIndex:binIndex + nbins, 0] + jbin / 65530. * jmax |
|
|
748 | 746 | |
|
|
749 | 747 | # Cx_Channel |
|
|
750 | 748 | jbin = numpy.fromfile( |
|
|
751 | 749 | self.fp, [('jbin', 'uint16')], nbins)[0][0] |
|
|
752 | 750 | jmax = numpy.fromfile(self.fp, [('jmax', 'float32')], 1)[0][0] |
|
|
753 | 751 | |
|
|
754 | 752 | self.data_spc[irg, binIndex:binIndex + nbins, 1] = self.data_spc[irg, |
|
|
755 | 753 | binIndex:binIndex + nbins, 1] + jbin / 65530. * jmax |
|
|
756 | 754 | |
|
|
757 | 755 | for bin in range(self.Num_Bins): |
|
|
758 | 756 | |
|
|
759 | 757 | self.data_spc[:, bin, 0] = self.data_spc[:, |
|
|
760 | 758 | bin, 0] - self.dataOut.HSDV[:, 0] |
|
|
761 | 759 | |
|
|
762 | 760 | self.data_spc[:, bin, 1] = self.data_spc[:, |
|
|
763 | 761 | bin, 1] - self.dataOut.HSDV[:, 1] |
|
|
764 | 762 | |
|
|
765 | 763 | numpy.set_printoptions(threshold='nan') |
|
|
766 | 764 | |
|
|
767 | 765 | self.data_spc = numpy.where(self.data_spc > 0., self.data_spc, 0) |
|
|
768 | 766 | |
|
|
769 | 767 | self.dataOut.COFA = numpy.array([self.COFA_Co, self.COFA_Cx]) |
|
|
770 | 768 | |
|
|
771 | 769 | print ' ' |
|
|
772 | 770 | print 'SPC', numpy.shape(self.dataOut.data_spc) |
|
|
773 | 771 | # print 'SPC',self.dataOut.data_spc |
|
|
774 | 772 | |
|
|
775 | 773 | noinor1 = 713031680 |
|
|
776 | 774 | noinor2 = 30 |
|
|
777 | 775 | |
|
|
778 | 776 | npw1 = 1 # 0**(npw1/10) * noinor1 * noinor2 |
|
|
779 | 777 | npw2 = 1 # 0**(npw2/10) * noinor1 * noinor2 |
|
|
780 | 778 | self.dataOut.NPW = numpy.array([npw1, npw2]) |
|
|
781 | 779 | |
|
|
782 | 780 | print ' ' |
|
|
783 | 781 | |
|
|
784 | 782 | self.data_spc = numpy.transpose(self.data_spc, (2, 1, 0)) |
|
|
785 | 783 | self.data_spc = numpy.fft.fftshift(self.data_spc, axes=1) |
|
|
786 | 784 | |
|
|
787 | 785 | self.data_spc = numpy.fliplr(self.data_spc) |
|
|
788 | 786 | |
|
|
789 | 787 | self.data_spc = numpy.where(self.data_spc > 0., self.data_spc, 0) |
|
|
790 | 788 | self.dataOut_spc = numpy.ones([1, self.Num_Bins, self.Num_Hei]) |
|
|
791 | 789 | self.dataOut_spc[0, :, :] = self.data_spc[0, :, :] |
|
|
792 | 790 | # print 'SHAPE', self.dataOut_spc.shape |
|
|
793 | 791 | # For nyquist correction: |
|
|
794 | 792 | # fix = 20 # ~3m/s |
|
|
795 | 793 | #shift = self.Num_Bins/2 + fix |
|
|
796 | 794 | #self.data_spc = numpy.array([ self.data_spc[: , self.Num_Bins-shift+1: , :] , self.data_spc[: , 0:self.Num_Bins-shift , :]]) |
|
|
797 | 795 | |
|
|
798 | 796 | '''Block Reading, the Block Data is received and Reshape is used to give it |
|
|
799 | 797 | shape. |
|
|
800 | 798 | ''' |
|
|
801 | 799 | |
|
|
802 | 800 | self.PointerReader = self.fp.tell() |
| @@ -1,354 +1,360 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: murco $ |
|
|
4 | 4 | $Id: jroproc_base.py 1 2012-11-12 18:56:07Z murco $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import inspect |
|
|
7 | 7 | from fuzzywuzzy import process |
|
|
8 | 8 | |
|
|
9 | 9 | def checkKwargs(method, kwargs): |
|
|
10 | 10 | currentKwargs = kwargs |
|
|
11 | 11 | choices = inspect.getargspec(method).args |
|
|
12 | 12 | try: |
|
|
13 | 13 | choices.remove('self') |
|
|
14 | 14 | except Exception as e: |
|
|
15 | 15 | pass |
|
|
16 | 16 | |
|
|
17 | 17 | try: |
|
|
18 | 18 | choices.remove('dataOut') |
|
|
19 | 19 | except Exception as e: |
|
|
20 | 20 | pass |
|
|
21 | 21 | |
|
|
22 | 22 | for kwarg in kwargs: |
|
|
23 | 23 | fuzz = process.extractOne(kwarg, choices) |
|
|
24 | 24 | if fuzz is None: |
|
|
25 | 25 | continue |
|
|
26 | 26 | if fuzz[1] < 100: |
|
|
27 | 27 | raise Exception('\x1b[0;32;40mDid you mean {} instead of {} in {}? \x1b[0m'. |
|
|
28 | 28 | format(fuzz[0], kwarg, method.__self__.__class__.__name__)) |
|
|
29 | 29 | |
|
|
30 | 30 | class ProcessingUnit(object): |
|
|
31 | 31 | |
|
|
32 | 32 | """ |
|
|
33 | 33 | Esta es la clase base para el procesamiento de datos. |
|
|
34 | 34 | |
|
|
35 | 35 | Contiene el metodo "call" para llamar operaciones. Las operaciones pueden ser: |
|
|
36 | 36 | - Metodos internos (callMethod) |
|
|
37 | 37 | - Objetos del tipo Operation (callObject). Antes de ser llamados, estos objetos |
|
|
38 | 38 | tienen que ser agreagados con el metodo "add". |
|
|
39 | 39 | |
|
|
40 | 40 | """ |
|
|
41 | 41 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
|
42 | 42 | dataIn = None |
|
|
43 | 43 | dataInList = [] |
|
|
44 | 44 | |
|
|
45 | 45 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
|
46 | 46 | dataOut = None |
|
|
47 | 47 | |
|
|
48 | 48 | operations2RunDict = None |
|
|
49 | 49 | |
|
|
50 | 50 | isConfig = False |
|
|
51 | 51 | |
|
|
52 | 52 | |
|
|
53 | 53 | def __init__(self, *args, **kwargs): |
|
|
54 | 54 | |
|
|
55 | 55 | self.dataIn = None |
|
|
56 | 56 | self.dataInList = [] |
|
|
57 | 57 | |
|
|
58 | 58 | self.dataOut = None |
|
|
59 | 59 | |
|
|
60 | 60 | self.operations2RunDict = {} |
|
|
61 | 61 | self.operationKwargs = {} |
|
|
62 | 62 | |
|
|
63 | 63 | self.isConfig = False |
|
|
64 | 64 | |
|
|
65 | 65 | self.args = args |
|
|
66 | 66 | self.kwargs = kwargs |
|
|
67 | 67 | |
|
|
68 | 68 | if not hasattr(self, 'name'): |
|
|
69 | 69 | self.name = self.__class__.__name__ |
|
|
70 | 70 | |
|
|
71 | 71 | checkKwargs(self.run, kwargs) |
|
|
72 | 72 | |
|
|
73 | 73 | def getAllowedArgs(self): |
|
|
74 | return inspect.getargspec(self.run).args | |
|
|
74 | if hasattr(self, '__attrs__'): | |
|
|
75 | return self.__attrs__ | |
|
|
76 | else: | |
|
|
77 | return inspect.getargspec(self.run).args | |
|
|
75 | 78 | |
|
|
76 | 79 | def addOperationKwargs(self, objId, **kwargs): |
|
|
77 | 80 | ''' |
|
|
78 | 81 | ''' |
|
|
79 | 82 | |
|
|
80 | 83 | self.operationKwargs[objId] = kwargs |
|
|
81 | 84 | |
|
|
82 | 85 | |
|
|
83 | 86 | def addOperation(self, opObj, objId): |
|
|
84 | 87 | |
|
|
85 | 88 | """ |
|
|
86 | 89 | Agrega un objeto del tipo "Operation" (opObj) a la lista de objetos "self.objectList" y retorna el |
|
|
87 | 90 | identificador asociado a este objeto. |
|
|
88 | 91 | |
|
|
89 | 92 | Input: |
|
|
90 | 93 | |
|
|
91 | 94 | object : objeto de la clase "Operation" |
|
|
92 | 95 | |
|
|
93 | 96 | Return: |
|
|
94 | 97 | |
|
|
95 | 98 | objId : identificador del objeto, necesario para ejecutar la operacion |
|
|
96 | 99 | """ |
|
|
97 | 100 | |
|
|
98 | 101 | self.operations2RunDict[objId] = opObj |
|
|
99 | 102 | |
|
|
100 | 103 | return objId |
|
|
101 | 104 | |
|
|
102 | 105 | def getOperationObj(self, objId): |
|
|
103 | 106 | |
|
|
104 | 107 | if objId not in self.operations2RunDict.keys(): |
|
|
105 | 108 | return None |
|
|
106 | 109 | |
|
|
107 | 110 | return self.operations2RunDict[objId] |
|
|
108 | 111 | |
|
|
109 | 112 | def operation(self, **kwargs): |
|
|
110 | 113 | |
|
|
111 | 114 | """ |
|
|
112 | 115 | Operacion directa sobre la data (dataOut.data). Es necesario actualizar los valores de los |
|
|
113 | 116 | atributos del objeto dataOut |
|
|
114 | 117 | |
|
|
115 | 118 | Input: |
|
|
116 | 119 | |
|
|
117 | 120 | **kwargs : Diccionario de argumentos de la funcion a ejecutar |
|
|
118 | 121 | """ |
|
|
119 | 122 | |
|
|
120 | 123 | raise NotImplementedError |
|
|
121 | 124 | |
|
|
122 | 125 | def callMethod(self, name, opId): |
|
|
123 | 126 | |
|
|
124 | 127 | """ |
|
|
125 | 128 | Ejecuta el metodo con el nombre "name" y con argumentos **kwargs de la propia clase. |
|
|
126 | 129 | |
|
|
127 | 130 | Input: |
|
|
128 | 131 | name : nombre del metodo a ejecutar |
|
|
129 | 132 | |
|
|
130 | 133 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
|
131 | 134 | |
|
|
132 | 135 | """ |
|
|
133 | 136 | |
|
|
134 | 137 | #Checking the inputs |
|
|
135 | 138 | if name == 'run': |
|
|
136 | 139 | |
|
|
137 | 140 | if not self.checkInputs(): |
|
|
138 | 141 | self.dataOut.flagNoData = True |
|
|
139 | 142 | return False |
|
|
140 | 143 | else: |
|
|
141 | 144 | #Si no es un metodo RUN la entrada es la misma dataOut (interna) |
|
|
142 | 145 | if self.dataOut is not None and self.dataOut.isEmpty(): |
|
|
143 | 146 | return False |
|
|
144 | 147 | |
|
|
145 | 148 | #Getting the pointer to method |
|
|
146 | 149 | methodToCall = getattr(self, name) |
|
|
147 | 150 | |
|
|
148 | 151 | #Executing the self method |
|
|
149 | 152 | |
|
|
150 | 153 | if hasattr(self, 'mp'): |
|
|
151 | 154 | if name=='run': |
|
|
152 | 155 | if self.mp is False: |
|
|
153 | 156 | self.mp = True |
|
|
154 | 157 | self.start() |
|
|
155 | 158 | else: |
|
|
156 | 159 | self.operationKwargs[opId]['parent'] = self.kwargs |
|
|
157 | 160 | methodToCall(**self.operationKwargs[opId]) |
|
|
158 | 161 | else: |
|
|
159 | 162 | if name=='run': |
|
|
160 | 163 | methodToCall(**self.kwargs) |
|
|
161 | 164 | else: |
|
|
162 | 165 | methodToCall(**self.operationKwargs[opId]) |
|
|
163 | 166 | |
|
|
164 | 167 | if self.dataOut is None: |
|
|
165 | 168 | return False |
|
|
166 | 169 | |
|
|
167 | 170 | if self.dataOut.isEmpty(): |
|
|
168 | 171 | return False |
|
|
169 | 172 | |
|
|
170 | 173 | return True |
|
|
171 | 174 | |
|
|
172 | 175 | def callObject(self, objId): |
|
|
173 | 176 | |
|
|
174 | 177 | """ |
|
|
175 | 178 | Ejecuta la operacion asociada al identificador del objeto "objId" |
|
|
176 | 179 | |
|
|
177 | 180 | Input: |
|
|
178 | 181 | |
|
|
179 | 182 | objId : identificador del objeto a ejecutar |
|
|
180 | 183 | |
|
|
181 | 184 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
|
182 | 185 | |
|
|
183 | 186 | Return: |
|
|
184 | 187 | |
|
|
185 | 188 | None |
|
|
186 | 189 | """ |
|
|
187 | 190 | |
|
|
188 | 191 | if self.dataOut is not None and self.dataOut.isEmpty(): |
|
|
189 | 192 | return False |
|
|
190 | 193 | |
|
|
191 | 194 | externalProcObj = self.operations2RunDict[objId] |
|
|
192 | 195 | |
|
|
193 | 196 | if hasattr(externalProcObj, 'mp'): |
|
|
194 | 197 | if externalProcObj.mp is False: |
|
|
195 | 198 | externalProcObj.kwargs['parent'] = self.kwargs |
|
|
196 | 199 | self.operationKwargs[objId] = externalProcObj.kwargs |
|
|
197 | 200 | externalProcObj.mp = True |
|
|
198 | 201 | externalProcObj.start() |
|
|
199 | 202 | else: |
|
|
200 | 203 | externalProcObj.run(self.dataOut, **externalProcObj.kwargs) |
|
|
201 | 204 | self.operationKwargs[objId] = externalProcObj.kwargs |
|
|
202 | 205 | |
|
|
203 | 206 | |
|
|
204 | 207 | return True |
|
|
205 | 208 | |
|
|
206 | 209 | def call(self, opType, opName=None, opId=None): |
|
|
207 | 210 | """ |
|
|
208 | 211 | Return True si ejecuta la operacion interna nombrada "opName" o la operacion externa |
|
|
209 | 212 | identificada con el id "opId"; con los argumentos "**kwargs". |
|
|
210 | 213 | |
|
|
211 | 214 | False si la operacion no se ha ejecutado. |
|
|
212 | 215 | |
|
|
213 | 216 | Input: |
|
|
214 | 217 | |
|
|
215 | 218 | opType : Puede ser "self" o "external" |
|
|
216 | 219 | |
|
|
217 | 220 | Depende del tipo de operacion para llamar a:callMethod or callObject: |
|
|
218 | 221 | |
|
|
219 | 222 | 1. If opType = "self": Llama a un metodo propio de esta clase: |
|
|
220 | 223 | |
|
|
221 | 224 | name_method = getattr(self, name) |
|
|
222 | 225 | name_method(**kwargs) |
|
|
223 | 226 | |
|
|
224 | 227 | |
|
|
225 | 228 | 2. If opType = "other" o"external": Llama al metodo "run()" de una instancia de la |
|
|
226 | 229 | clase "Operation" o de un derivado de ella: |
|
|
227 | 230 | |
|
|
228 | 231 | instanceName = self.operationList[opId] |
|
|
229 | 232 | instanceName.run(**kwargs) |
|
|
230 | 233 | |
|
|
231 | 234 | opName : Si la operacion es interna (opType = 'self'), entonces el "opName" sera |
|
|
232 | 235 | usada para llamar a un metodo interno de la clase Processing |
|
|
233 | 236 | |
|
|
234 | 237 | opId : Si la operacion es externa (opType = 'other' o 'external), entonces el |
|
|
235 | 238 | "opId" sera usada para llamar al metodo "run" de la clase Operation |
|
|
236 | 239 | registrada anteriormente con ese Id |
|
|
237 | 240 | |
|
|
238 | 241 | Exception: |
|
|
239 | 242 | Este objeto de tipo Operation debe de haber sido agregado antes con el metodo: |
|
|
240 | 243 | "addOperation" e identificado con el valor "opId" = el id de la operacion. |
|
|
241 | 244 | De lo contrario retornara un error del tipo ValueError |
|
|
242 | 245 | |
|
|
243 | 246 | """ |
|
|
244 | 247 | |
|
|
245 | 248 | if opType == 'self': |
|
|
246 | 249 | |
|
|
247 | 250 | if not opName: |
|
|
248 | 251 | raise ValueError, "opName parameter should be defined" |
|
|
249 | 252 | |
|
|
250 | 253 | sts = self.callMethod(opName, opId) |
|
|
251 | 254 | |
|
|
252 | 255 | elif opType == 'other' or opType == 'external' or opType == 'plotter': |
|
|
253 | 256 | |
|
|
254 | 257 | if not opId: |
|
|
255 | 258 | raise ValueError, "opId parameter should be defined" |
|
|
256 | 259 | |
|
|
257 | 260 | if opId not in self.operations2RunDict.keys(): |
|
|
258 | 261 | raise ValueError, "Any operation with id=%s has been added" %str(opId) |
|
|
259 | 262 | |
|
|
260 | 263 | sts = self.callObject(opId) |
|
|
261 | 264 | |
|
|
262 | 265 | else: |
|
|
263 | 266 | raise ValueError, "opType should be 'self', 'external' or 'plotter'; and not '%s'" %opType |
|
|
264 | 267 | |
|
|
265 | 268 | return sts |
|
|
266 | 269 | |
|
|
267 | 270 | def setInput(self, dataIn): |
|
|
268 | 271 | |
|
|
269 | 272 | self.dataIn = dataIn |
|
|
270 | 273 | self.dataInList.append(dataIn) |
|
|
271 | 274 | |
|
|
272 | 275 | def getOutputObj(self): |
|
|
273 | 276 | |
|
|
274 | 277 | return self.dataOut |
|
|
275 | 278 | |
|
|
276 | 279 | def checkInputs(self): |
|
|
277 | 280 | |
|
|
278 | 281 | for thisDataIn in self.dataInList: |
|
|
279 | 282 | |
|
|
280 | 283 | if thisDataIn.isEmpty(): |
|
|
281 | 284 | return False |
|
|
282 | 285 | |
|
|
283 | 286 | return True |
|
|
284 | 287 | |
|
|
285 | 288 | def setup(self): |
|
|
286 | 289 | |
|
|
287 | 290 | raise NotImplementedError |
|
|
288 | 291 | |
|
|
289 | 292 | def run(self): |
|
|
290 | 293 | |
|
|
291 | 294 | raise NotImplementedError |
|
|
292 | 295 | |
|
|
293 | 296 | def close(self): |
|
|
294 | 297 | #Close every thread, queue or any other object here is it is neccesary. |
|
|
295 | 298 | return |
|
|
296 | 299 | |
|
|
297 | 300 | class Operation(object): |
|
|
298 | 301 | |
|
|
299 | 302 | """ |
|
|
300 | 303 | Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit |
|
|
301 | 304 | y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de |
|
|
302 | 305 | acumulacion dentro de esta clase |
|
|
303 | 306 | |
|
|
304 | 307 | Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer) |
|
|
305 | 308 | |
|
|
306 | 309 | """ |
|
|
307 | 310 | |
|
|
308 | 311 | __buffer = None |
|
|
309 | 312 | isConfig = False |
|
|
310 | 313 | |
|
|
311 | 314 | def __init__(self, **kwargs): |
|
|
312 | 315 | |
|
|
313 | 316 | self.__buffer = None |
|
|
314 | 317 | self.isConfig = False |
|
|
315 | 318 | self.kwargs = kwargs |
|
|
316 | 319 | if not hasattr(self, 'name'): |
|
|
317 | 320 | self.name = self.__class__.__name__ |
|
|
318 | 321 | checkKwargs(self.run, kwargs) |
|
|
319 | 322 | |
|
|
320 | 323 | def getAllowedArgs(self): |
|
|
321 | return inspect.getargspec(self.run).args | |
|
|
324 | if hasattr(self, '__attrs__'): | |
|
|
325 | return self.__attrs__ | |
|
|
326 | else: | |
|
|
327 | return inspect.getargspec(self.run).args | |
|
|
322 | 328 | |
|
|
323 | 329 | def setup(self): |
|
|
324 | 330 | |
|
|
325 | 331 | self.isConfig = True |
|
|
326 | 332 | |
|
|
327 | 333 | raise NotImplementedError |
|
|
328 | 334 | |
|
|
329 | 335 | def run(self, dataIn, **kwargs): |
|
|
330 | 336 | |
|
|
331 | 337 | """ |
|
|
332 | 338 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los |
|
|
333 | 339 | atributos del objeto dataIn. |
|
|
334 | 340 | |
|
|
335 | 341 | Input: |
|
|
336 | 342 | |
|
|
337 | 343 | dataIn : objeto del tipo JROData |
|
|
338 | 344 | |
|
|
339 | 345 | Return: |
|
|
340 | 346 | |
|
|
341 | 347 | None |
|
|
342 | 348 | |
|
|
343 | 349 | Affected: |
|
|
344 | 350 | __buffer : buffer de recepcion de datos. |
|
|
345 | 351 | |
|
|
346 | 352 | """ |
|
|
347 | 353 | if not self.isConfig: |
|
|
348 | 354 | self.setup(**kwargs) |
|
|
349 | 355 | |
|
|
350 | 356 | raise NotImplementedError |
|
|
351 | 357 | |
|
|
352 | 358 | def close(self): |
|
|
353 | 359 | |
|
|
354 | 360 | pass |
| @@ -1,631 +1,636 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | @author: Juan C. Espinoza |
|
|
3 | 3 | ''' |
|
|
4 | 4 | |
|
|
5 | 5 | import time |
|
|
6 | 6 | import json |
|
|
7 | 7 | import numpy |
|
|
8 | 8 | import paho.mqtt.client as mqtt |
|
|
9 | 9 | import zmq |
|
|
10 | 10 | import datetime |
|
|
11 | 11 | from zmq.utils.monitor import recv_monitor_message |
|
|
12 | 12 | from functools import wraps |
|
|
13 | 13 | from threading import Thread |
|
|
14 | 14 | from multiprocessing import Process |
|
|
15 | 15 | |
|
|
16 | 16 | from schainpy.model.proc.jroproc_base import Operation, ProcessingUnit |
|
|
17 | 17 | from schainpy.model.data.jrodata import JROData |
|
|
18 | 18 | from schainpy.utils import log |
|
|
19 | 19 | |
|
|
20 | 20 | MAXNUMX = 100 |
|
|
21 | 21 | MAXNUMY = 100 |
|
|
22 | 22 | |
|
|
23 | 23 | class PrettyFloat(float): |
|
|
24 | 24 | def __repr__(self): |
|
|
25 | 25 | return '%.2f' % self |
|
|
26 | 26 | |
|
|
27 | 27 | def roundFloats(obj): |
|
|
28 | 28 | if isinstance(obj, list): |
|
|
29 | 29 | return map(roundFloats, obj) |
|
|
30 | 30 | elif isinstance(obj, float): |
|
|
31 | 31 | return round(obj, 2) |
|
|
32 | 32 | |
|
|
33 | 33 | def decimate(z, MAXNUMY): |
|
|
34 | 34 | dy = int(len(z[0])/MAXNUMY) + 1 |
|
|
35 | 35 | |
|
|
36 | 36 | return z[::, ::dy] |
|
|
37 | 37 | |
|
|
38 | 38 | class throttle(object): |
|
|
39 | 39 | ''' |
|
|
40 | 40 | Decorator that prevents a function from being called more than once every |
|
|
41 | 41 | time period. |
|
|
42 | 42 | To create a function that cannot be called more than once a minute, but |
|
|
43 | 43 | will sleep until it can be called: |
|
|
44 | 44 | @throttle(minutes=1) |
|
|
45 | 45 | def foo(): |
|
|
46 | 46 | pass |
|
|
47 | 47 | |
|
|
48 | 48 | for i in range(10): |
|
|
49 | 49 | foo() |
|
|
50 | 50 | print "This function has run %s times." % i |
|
|
51 | 51 | ''' |
|
|
52 | 52 | |
|
|
53 | 53 | def __init__(self, seconds=0, minutes=0, hours=0): |
|
|
54 | 54 | self.throttle_period = datetime.timedelta( |
|
|
55 | 55 | seconds=seconds, minutes=minutes, hours=hours |
|
|
56 | 56 | ) |
|
|
57 | 57 | |
|
|
58 | 58 | self.time_of_last_call = datetime.datetime.min |
|
|
59 | 59 | |
|
|
60 | 60 | def __call__(self, fn): |
|
|
61 | 61 | @wraps(fn) |
|
|
62 | 62 | def wrapper(*args, **kwargs): |
|
|
63 | 63 | coerce = kwargs.pop('coerce', None) |
|
|
64 | 64 | if coerce: |
|
|
65 | 65 | self.time_of_last_call = datetime.datetime.now() |
|
|
66 | 66 | return fn(*args, **kwargs) |
|
|
67 | 67 | else: |
|
|
68 | 68 | now = datetime.datetime.now() |
|
|
69 | 69 | time_since_last_call = now - self.time_of_last_call |
|
|
70 | 70 | time_left = self.throttle_period - time_since_last_call |
|
|
71 | 71 | |
|
|
72 | 72 | if time_left > datetime.timedelta(seconds=0): |
|
|
73 | 73 | return |
|
|
74 | 74 | |
|
|
75 | 75 | self.time_of_last_call = datetime.datetime.now() |
|
|
76 | 76 | return fn(*args, **kwargs) |
|
|
77 | 77 | |
|
|
78 | 78 | return wrapper |
|
|
79 | 79 | |
|
|
80 | 80 | class Data(object): |
|
|
81 | 81 | ''' |
|
|
82 | 82 | Object to hold data to be plotted |
|
|
83 | 83 | ''' |
|
|
84 | 84 | |
|
|
85 | 85 | def __init__(self, plottypes, throttle_value): |
|
|
86 | 86 | self.plottypes = plottypes |
|
|
87 | 87 | self.throttle = throttle_value |
|
|
88 | 88 | self.ended = False |
|
|
89 | 89 | self.localtime = False |
|
|
90 | 90 | self.__times = [] |
|
|
91 | 91 | self.__heights = [] |
|
|
92 | 92 | |
|
|
93 | 93 | def __str__(self): |
|
|
94 | 94 | dum = ['{}{}'.format(key, self.shape(key)) for key in self.data] |
|
|
95 | 95 | return 'Data[{}][{}]'.format(';'.join(dum), len(self.__times)) |
|
|
96 | 96 | |
|
|
97 | 97 | def __len__(self): |
|
|
98 | 98 | return len(self.__times) |
|
|
99 | 99 | |
|
|
100 | 100 | def __getitem__(self, key): |
|
|
101 | 101 | if key not in self.data: |
|
|
102 | 102 | raise KeyError(log.error('Missing key: {}'.format(key))) |
|
|
103 | 103 | |
|
|
104 | 104 | if 'spc' in key: |
|
|
105 | 105 | ret = self.data[key] |
|
|
106 | 106 | else: |
|
|
107 | 107 | ret = numpy.array([self.data[key][x] for x in self.times]) |
|
|
108 | 108 | if ret.ndim > 1: |
|
|
109 | 109 | ret = numpy.swapaxes(ret, 0, 1) |
|
|
110 | 110 | return ret |
|
|
111 | 111 | |
|
|
112 | 112 | def __contains__(self, key): |
|
|
113 | 113 | return key in self.data |
|
|
114 | 114 | |
|
|
115 | 115 | def setup(self): |
|
|
116 | 116 | ''' |
|
|
117 | 117 | Configure object |
|
|
118 | 118 | ''' |
|
|
119 | 119 | |
|
|
120 | 120 | self.ended = False |
|
|
121 | 121 | self.data = {} |
|
|
122 | 122 | self.__times = [] |
|
|
123 | 123 | self.__heights = [] |
|
|
124 | 124 | self.__all_heights = set() |
|
|
125 | 125 | for plot in self.plottypes: |
|
|
126 | 126 | if 'snr' in plot: |
|
|
127 | 127 | plot = 'snr' |
|
|
128 | 128 | self.data[plot] = {} |
|
|
129 | 129 | |
|
|
130 | 130 | def shape(self, key): |
|
|
131 | 131 | ''' |
|
|
132 | 132 | Get the shape of the one-element data for the given key |
|
|
133 | 133 | ''' |
|
|
134 | 134 | |
|
|
135 | 135 | if len(self.data[key]): |
|
|
136 | 136 | if 'spc' in key: |
|
|
137 | 137 | return self.data[key].shape |
|
|
138 | 138 | return self.data[key][self.__times[0]].shape |
|
|
139 | 139 | return (0,) |
|
|
140 | 140 | |
|
|
141 | 141 | def update(self, dataOut): |
|
|
142 | 142 | ''' |
|
|
143 | 143 | Update data object with new dataOut |
|
|
144 | 144 | ''' |
|
|
145 | 145 | |
|
|
146 | 146 | tm = dataOut.utctime |
|
|
147 | 147 | if tm in self.__times: |
|
|
148 | 148 | return |
|
|
149 | 149 | |
|
|
150 | 150 | self.parameters = getattr(dataOut, 'parameters', []) |
|
|
151 | 151 | self.pairs = dataOut.pairsList |
|
|
152 | 152 | self.channels = dataOut.channelList |
|
|
153 | 153 | self.interval = dataOut.getTimeInterval() |
|
|
154 | 154 | self.localtime = dataOut.useLocalTime |
|
|
155 | 155 | if 'spc' in self.plottypes or 'cspc' in self.plottypes: |
|
|
156 | 156 | self.xrange = (dataOut.getFreqRange(1)/1000., dataOut.getAcfRange(1), dataOut.getVelRange(1)) |
|
|
157 | 157 | self.__heights.append(dataOut.heightList) |
|
|
158 | 158 | self.__all_heights.update(dataOut.heightList) |
|
|
159 | 159 | self.__times.append(tm) |
|
|
160 | 160 | |
|
|
161 | 161 | for plot in self.plottypes: |
|
|
162 | 162 | if plot == 'spc': |
|
|
163 | 163 | z = dataOut.data_spc/dataOut.normFactor |
|
|
164 | 164 | self.data[plot] = 10*numpy.log10(z) |
|
|
165 | 165 | if plot == 'cspc': |
|
|
166 | 166 | self.data[plot] = dataOut.data_cspc |
|
|
167 | 167 | if plot == 'noise': |
|
|
168 | 168 | self.data[plot][tm] = 10*numpy.log10(dataOut.getNoise()/dataOut.normFactor) |
|
|
169 | 169 | if plot == 'rti': |
|
|
170 | 170 | self.data[plot][tm] = dataOut.getPower() |
|
|
171 | 171 | if plot == 'snr_db': |
|
|
172 | 172 | self.data['snr'][tm] = dataOut.data_SNR |
|
|
173 | 173 | if plot == 'snr': |
|
|
174 | 174 | self.data[plot][tm] = 10*numpy.log10(dataOut.data_SNR) |
|
|
175 | 175 | if plot == 'dop': |
|
|
176 | 176 | self.data[plot][tm] = 10*numpy.log10(dataOut.data_DOP) |
|
|
177 | 177 | if plot == 'mean': |
|
|
178 | 178 | self.data[plot][tm] = dataOut.data_MEAN |
|
|
179 | 179 | if plot == 'std': |
|
|
180 | 180 | self.data[plot][tm] = dataOut.data_STD |
|
|
181 | 181 | if plot == 'coh': |
|
|
182 | 182 | self.data[plot][tm] = dataOut.getCoherence() |
|
|
183 | 183 | if plot == 'phase': |
|
|
184 | 184 | self.data[plot][tm] = dataOut.getCoherence(phase=True) |
|
|
185 | 185 | if plot == 'output': |
|
|
186 | 186 | self.data[plot][tm] = dataOut.data_output |
|
|
187 | 187 | if plot == 'param': |
|
|
188 | 188 | self.data[plot][tm] = dataOut.data_param |
|
|
189 | 189 | |
|
|
190 | 190 | def normalize_heights(self): |
|
|
191 | 191 | ''' |
|
|
192 | 192 | Ensure same-dimension of the data for different heighList |
|
|
193 | 193 | ''' |
|
|
194 | 194 | |
|
|
195 | 195 | H = numpy.array(list(self.__all_heights)) |
|
|
196 | 196 | H.sort() |
|
|
197 | 197 | for key in self.data: |
|
|
198 | 198 | shape = self.shape(key)[:-1] + H.shape |
|
|
199 | 199 | for tm, obj in self.data[key].items(): |
|
|
200 | 200 | h = self.__heights[self.__times.index(tm)] |
|
|
201 | 201 | if H.size == h.size: |
|
|
202 | 202 | continue |
|
|
203 | 203 | index = numpy.where(numpy.in1d(H, h))[0] |
|
|
204 | 204 | dummy = numpy.zeros(shape) + numpy.nan |
|
|
205 | 205 | if len(shape) == 2: |
|
|
206 | 206 | dummy[:, index] = obj |
|
|
207 | 207 | else: |
|
|
208 | 208 | dummy[index] = obj |
|
|
209 | 209 | self.data[key][tm] = dummy |
|
|
210 | 210 | |
|
|
211 | 211 | self.__heights = [H for tm in self.__times] |
|
|
212 | 212 | |
|
|
213 | 213 | def jsonify(self, decimate=False): |
|
|
214 | 214 | ''' |
|
|
215 | 215 | Convert data to json |
|
|
216 | 216 | ''' |
|
|
217 | 217 | |
|
|
218 | 218 | ret = {} |
|
|
219 | 219 | tm = self.times[-1] |
|
|
220 | 220 | |
|
|
221 | 221 | for key, value in self.data: |
|
|
222 | 222 | if key in ('spc', 'cspc'): |
|
|
223 | 223 | ret[key] = roundFloats(self.data[key].to_list()) |
|
|
224 | 224 | else: |
|
|
225 | 225 | ret[key] = roundFloats(self.data[key][tm].to_list()) |
|
|
226 | 226 | |
|
|
227 | 227 | ret['timestamp'] = tm |
|
|
228 | 228 | ret['interval'] = self.interval |
|
|
229 | 229 | |
|
|
230 | 230 | @property |
|
|
231 | 231 | def times(self): |
|
|
232 | 232 | ''' |
|
|
233 | 233 | Return the list of times of the current data |
|
|
234 | 234 | ''' |
|
|
235 | 235 | |
|
|
236 | 236 | ret = numpy.array(self.__times) |
|
|
237 | 237 | ret.sort() |
|
|
238 | 238 | return ret |
|
|
239 | 239 | |
|
|
240 | 240 | @property |
|
|
241 | 241 | def heights(self): |
|
|
242 | 242 | ''' |
|
|
243 | 243 | Return the list of heights of the current data |
|
|
244 | 244 | ''' |
|
|
245 | 245 | |
|
|
246 | 246 | return numpy.array(self.__heights[-1]) |
|
|
247 | 247 | |
|
|
248 | 248 | class PublishData(Operation): |
|
|
249 | 249 | ''' |
|
|
250 | 250 | Operation to send data over zmq. |
|
|
251 | 251 | ''' |
|
|
252 | 252 | |
|
|
253 | __attrs__ = ['host', 'port', 'delay', 'zeromq', 'mqtt', 'verbose'] | |
|
|
254 | ||
|
|
253 | 255 | def __init__(self, **kwargs): |
|
|
254 | 256 | """Inicio.""" |
|
|
255 | 257 | Operation.__init__(self, **kwargs) |
|
|
256 | 258 | self.isConfig = False |
|
|
257 | 259 | self.client = None |
|
|
258 | 260 | self.zeromq = None |
|
|
259 | 261 | self.mqtt = None |
|
|
260 | 262 | |
|
|
261 | 263 | def on_disconnect(self, client, userdata, rc): |
|
|
262 | 264 | if rc != 0: |
|
|
263 | 265 | log.warning('Unexpected disconnection.') |
|
|
264 | 266 | self.connect() |
|
|
265 | 267 | |
|
|
266 | 268 | def connect(self): |
|
|
267 | 269 | log.warning('trying to connect') |
|
|
268 | 270 | try: |
|
|
269 | 271 | self.client.connect( |
|
|
270 | 272 | host=self.host, |
|
|
271 | 273 | port=self.port, |
|
|
272 | 274 | keepalive=60*10, |
|
|
273 | 275 | bind_address='') |
|
|
274 | 276 | self.client.loop_start() |
|
|
275 | 277 | # self.client.publish( |
|
|
276 | 278 | # self.topic + 'SETUP', |
|
|
277 | 279 | # json.dumps(setup), |
|
|
278 | 280 | # retain=True |
|
|
279 | 281 | # ) |
|
|
280 | 282 | except: |
|
|
281 | 283 | log.error('MQTT Conection error.') |
|
|
282 | 284 | self.client = False |
|
|
283 | 285 | |
|
|
284 | 286 | def setup(self, port=1883, username=None, password=None, clientId="user", zeromq=1, verbose=True, **kwargs): |
|
|
285 | 287 | self.counter = 0 |
|
|
286 | 288 | self.topic = kwargs.get('topic', 'schain') |
|
|
287 | 289 | self.delay = kwargs.get('delay', 0) |
|
|
288 | 290 | self.plottype = kwargs.get('plottype', 'spectra') |
|
|
289 | 291 | self.host = kwargs.get('host', "10.10.10.82") |
|
|
290 | 292 | self.port = kwargs.get('port', 3000) |
|
|
291 | 293 | self.clientId = clientId |
|
|
292 | 294 | self.cnt = 0 |
|
|
293 | 295 | self.zeromq = zeromq |
|
|
294 | 296 | self.mqtt = kwargs.get('plottype', 0) |
|
|
295 | 297 | self.client = None |
|
|
296 | 298 | self.verbose = verbose |
|
|
297 | 299 | setup = [] |
|
|
298 | 300 | if mqtt is 1: |
|
|
299 | 301 | self.client = mqtt.Client( |
|
|
300 | 302 | client_id=self.clientId + self.topic + 'SCHAIN', |
|
|
301 | 303 | clean_session=True) |
|
|
302 | 304 | self.client.on_disconnect = self.on_disconnect |
|
|
303 | 305 | self.connect() |
|
|
304 | 306 | for plot in self.plottype: |
|
|
305 | 307 | setup.append({ |
|
|
306 | 308 | 'plot': plot, |
|
|
307 | 309 | 'topic': self.topic + plot, |
|
|
308 | 310 | 'title': getattr(self, plot + '_' + 'title', False), |
|
|
309 | 311 | 'xlabel': getattr(self, plot + '_' + 'xlabel', False), |
|
|
310 | 312 | 'ylabel': getattr(self, plot + '_' + 'ylabel', False), |
|
|
311 | 313 | 'xrange': getattr(self, plot + '_' + 'xrange', False), |
|
|
312 | 314 | 'yrange': getattr(self, plot + '_' + 'yrange', False), |
|
|
313 | 315 | 'zrange': getattr(self, plot + '_' + 'zrange', False), |
|
|
314 | 316 | }) |
|
|
315 | 317 | if zeromq is 1: |
|
|
316 | 318 | context = zmq.Context() |
|
|
317 | 319 | self.zmq_socket = context.socket(zmq.PUSH) |
|
|
318 | 320 | server = kwargs.get('server', 'zmq.pipe') |
|
|
319 | 321 | |
|
|
320 | 322 | if 'tcp://' in server: |
|
|
321 | 323 | address = server |
|
|
322 | 324 | else: |
|
|
323 | 325 | address = 'ipc:///tmp/%s' % server |
|
|
324 | 326 | |
|
|
325 | 327 | self.zmq_socket.connect(address) |
|
|
326 | 328 | time.sleep(1) |
|
|
327 | 329 | |
|
|
328 | 330 | |
|
|
329 | 331 | def publish_data(self): |
|
|
330 | 332 | self.dataOut.finished = False |
|
|
331 | 333 | if self.mqtt is 1: |
|
|
332 | 334 | yData = self.dataOut.heightList[:2].tolist() |
|
|
333 | 335 | if self.plottype == 'spectra': |
|
|
334 | 336 | data = getattr(self.dataOut, 'data_spc') |
|
|
335 | 337 | z = data/self.dataOut.normFactor |
|
|
336 | 338 | zdB = 10*numpy.log10(z) |
|
|
337 | 339 | xlen, ylen = zdB[0].shape |
|
|
338 | 340 | dx = int(xlen/MAXNUMX) + 1 |
|
|
339 | 341 | dy = int(ylen/MAXNUMY) + 1 |
|
|
340 | 342 | Z = [0 for i in self.dataOut.channelList] |
|
|
341 | 343 | for i in self.dataOut.channelList: |
|
|
342 | 344 | Z[i] = zdB[i][::dx, ::dy].tolist() |
|
|
343 | 345 | payload = { |
|
|
344 | 346 | 'timestamp': self.dataOut.utctime, |
|
|
345 | 347 | 'data': roundFloats(Z), |
|
|
346 | 348 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
|
347 | 349 | 'interval': self.dataOut.getTimeInterval(), |
|
|
348 | 350 | 'type': self.plottype, |
|
|
349 | 351 | 'yData': yData |
|
|
350 | 352 | } |
|
|
351 | 353 | |
|
|
352 | 354 | elif self.plottype in ('rti', 'power'): |
|
|
353 | 355 | data = getattr(self.dataOut, 'data_spc') |
|
|
354 | 356 | z = data/self.dataOut.normFactor |
|
|
355 | 357 | avg = numpy.average(z, axis=1) |
|
|
356 | 358 | avgdB = 10*numpy.log10(avg) |
|
|
357 | 359 | xlen, ylen = z[0].shape |
|
|
358 | 360 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 |
|
|
359 | 361 | AVG = [0 for i in self.dataOut.channelList] |
|
|
360 | 362 | for i in self.dataOut.channelList: |
|
|
361 | 363 | AVG[i] = avgdB[i][::dy].tolist() |
|
|
362 | 364 | payload = { |
|
|
363 | 365 | 'timestamp': self.dataOut.utctime, |
|
|
364 | 366 | 'data': roundFloats(AVG), |
|
|
365 | 367 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
|
366 | 368 | 'interval': self.dataOut.getTimeInterval(), |
|
|
367 | 369 | 'type': self.plottype, |
|
|
368 | 370 | 'yData': yData |
|
|
369 | 371 | } |
|
|
370 | 372 | elif self.plottype == 'noise': |
|
|
371 | 373 | noise = self.dataOut.getNoise()/self.dataOut.normFactor |
|
|
372 | 374 | noisedB = 10*numpy.log10(noise) |
|
|
373 | 375 | payload = { |
|
|
374 | 376 | 'timestamp': self.dataOut.utctime, |
|
|
375 | 377 | 'data': roundFloats(noisedB.reshape(-1, 1).tolist()), |
|
|
376 | 378 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
|
377 | 379 | 'interval': self.dataOut.getTimeInterval(), |
|
|
378 | 380 | 'type': self.plottype, |
|
|
379 | 381 | 'yData': yData |
|
|
380 | 382 | } |
|
|
381 | 383 | elif self.plottype == 'snr': |
|
|
382 | 384 | data = getattr(self.dataOut, 'data_SNR') |
|
|
383 | 385 | avgdB = 10*numpy.log10(data) |
|
|
384 | 386 | |
|
|
385 | 387 | ylen = data[0].size |
|
|
386 | 388 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 |
|
|
387 | 389 | AVG = [0 for i in self.dataOut.channelList] |
|
|
388 | 390 | for i in self.dataOut.channelList: |
|
|
389 | 391 | AVG[i] = avgdB[i][::dy].tolist() |
|
|
390 | 392 | payload = { |
|
|
391 | 393 | 'timestamp': self.dataOut.utctime, |
|
|
392 | 394 | 'data': roundFloats(AVG), |
|
|
393 | 395 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
|
394 | 396 | 'type': self.plottype, |
|
|
395 | 397 | 'yData': yData |
|
|
396 | 398 | } |
|
|
397 | 399 | else: |
|
|
398 | 400 | print "Tipo de grafico invalido" |
|
|
399 | 401 | payload = { |
|
|
400 | 402 | 'data': 'None', |
|
|
401 | 403 | 'timestamp': 'None', |
|
|
402 | 404 | 'type': None |
|
|
403 | 405 | } |
|
|
404 | 406 | |
|
|
405 | 407 | self.client.publish(self.topic + self.plottype, json.dumps(payload), qos=0) |
|
|
406 | 408 | |
|
|
407 | 409 | if self.zeromq is 1: |
|
|
408 | 410 | if self.verbose: |
|
|
409 | 411 | log.log( |
|
|
410 | 412 | 'Sending {} - {}'.format(self.dataOut.type, self.dataOut.datatime), |
|
|
411 | 413 | self.name |
|
|
412 | 414 | ) |
|
|
413 | 415 | self.zmq_socket.send_pyobj(self.dataOut) |
|
|
414 | 416 | |
|
|
415 | 417 | def run(self, dataOut, **kwargs): |
|
|
416 | 418 | self.dataOut = dataOut |
|
|
417 | 419 | if not self.isConfig: |
|
|
418 | 420 | self.setup(**kwargs) |
|
|
419 | 421 | self.isConfig = True |
|
|
420 | 422 | |
|
|
421 | 423 | self.publish_data() |
|
|
422 | 424 | time.sleep(self.delay) |
|
|
423 | 425 | |
|
|
424 | 426 | def close(self): |
|
|
425 | 427 | if self.zeromq is 1: |
|
|
426 | 428 | self.dataOut.finished = True |
|
|
427 | 429 | self.zmq_socket.send_pyobj(self.dataOut) |
|
|
428 | 430 | time.sleep(0.1) |
|
|
429 | 431 | self.zmq_socket.close() |
|
|
430 | 432 | if self.client: |
|
|
431 | 433 | self.client.loop_stop() |
|
|
432 | 434 | self.client.disconnect() |
|
|
433 | 435 | |
|
|
434 | 436 | |
|
|
435 | 437 | class ReceiverData(ProcessingUnit): |
|
|
436 | 438 | |
|
|
439 | __attrs__ = ['server'] | |
|
|
440 | ||
|
|
437 | 441 | def __init__(self, **kwargs): |
|
|
438 | 442 | |
|
|
439 | 443 | ProcessingUnit.__init__(self, **kwargs) |
|
|
440 | 444 | |
|
|
441 | 445 | self.isConfig = False |
|
|
442 | 446 | server = kwargs.get('server', 'zmq.pipe') |
|
|
443 | 447 | if 'tcp://' in server: |
|
|
444 | 448 | address = server |
|
|
445 | 449 | else: |
|
|
446 | 450 | address = 'ipc:///tmp/%s' % server |
|
|
447 | 451 | |
|
|
448 | 452 | self.address = address |
|
|
449 | 453 | self.dataOut = JROData() |
|
|
450 | 454 | |
|
|
451 | 455 | def setup(self): |
|
|
452 | 456 | |
|
|
453 | 457 | self.context = zmq.Context() |
|
|
454 | 458 | self.receiver = self.context.socket(zmq.PULL) |
|
|
455 | 459 | self.receiver.bind(self.address) |
|
|
456 | 460 | time.sleep(0.5) |
|
|
457 | 461 | log.success('ReceiverData from {}'.format(self.address)) |
|
|
458 | 462 | |
|
|
459 | 463 | |
|
|
460 | 464 | def run(self): |
|
|
461 | 465 | |
|
|
462 | 466 | if not self.isConfig: |
|
|
463 | 467 | self.setup() |
|
|
464 | 468 | self.isConfig = True |
|
|
465 | 469 | |
|
|
466 | 470 | self.dataOut = self.receiver.recv_pyobj() |
|
|
467 | 471 | log.log('{} - {}'.format(self.dataOut.type, |
|
|
468 | 472 | self.dataOut.datatime.ctime(),), |
|
|
469 | 473 | 'Receiving') |
|
|
470 | 474 | |
|
|
471 | 475 | |
|
|
472 | 476 | class PlotterReceiver(ProcessingUnit, Process): |
|
|
473 | 477 | |
|
|
474 | 478 | throttle_value = 5 |
|
|
479 | __attrs__ = ['server', 'plottypes', 'realtime', 'localtime', 'throttle'] | |
|
|
475 | 480 | |
|
|
476 | 481 | def __init__(self, **kwargs): |
|
|
477 | 482 | |
|
|
478 | 483 | ProcessingUnit.__init__(self, **kwargs) |
|
|
479 | 484 | Process.__init__(self) |
|
|
480 | 485 | self.mp = False |
|
|
481 | 486 | self.isConfig = False |
|
|
482 | 487 | self.isWebConfig = False |
|
|
483 | 488 | self.connections = 0 |
|
|
484 | 489 | server = kwargs.get('server', 'zmq.pipe') |
|
|
485 | 490 | plot_server = kwargs.get('plot_server', 'zmq.web') |
|
|
486 | 491 | if 'tcp://' in server: |
|
|
487 | 492 | address = server |
|
|
488 | 493 | else: |
|
|
489 | 494 | address = 'ipc:///tmp/%s' % server |
|
|
490 | 495 | |
|
|
491 | 496 | if 'tcp://' in plot_server: |
|
|
492 | 497 | plot_address = plot_server |
|
|
493 | 498 | else: |
|
|
494 | 499 | plot_address = 'ipc:///tmp/%s' % plot_server |
|
|
495 | 500 | |
|
|
496 | 501 | self.address = address |
|
|
497 | 502 | self.plot_address = plot_address |
|
|
498 | 503 | self.plottypes = [s.strip() for s in kwargs.get('plottypes', 'rti').split(',')] |
|
|
499 | 504 | self.realtime = kwargs.get('realtime', False) |
|
|
500 | 505 | self.localtime = kwargs.get('localtime', True) |
|
|
501 | 506 | self.throttle_value = kwargs.get('throttle', 5) |
|
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502 | 507 | self.sendData = self.initThrottle(self.throttle_value) |
|
|
503 | 508 | self.dates = [] |
|
|
504 | 509 | self.setup() |
|
|
505 | 510 | |
|
|
506 | 511 | def setup(self): |
|
|
507 | 512 | |
|
|
508 | 513 | self.data = Data(self.plottypes, self.throttle_value) |
|
|
509 | 514 | self.isConfig = True |
|
|
510 | 515 | |
|
|
511 | 516 | def event_monitor(self, monitor): |
|
|
512 | 517 | |
|
|
513 | 518 | events = {} |
|
|
514 | 519 | |
|
|
515 | 520 | for name in dir(zmq): |
|
|
516 | 521 | if name.startswith('EVENT_'): |
|
|
517 | 522 | value = getattr(zmq, name) |
|
|
518 | 523 | events[value] = name |
|
|
519 | 524 | |
|
|
520 | 525 | while monitor.poll(): |
|
|
521 | 526 | evt = recv_monitor_message(monitor) |
|
|
522 | 527 | if evt['event'] == 32: |
|
|
523 | 528 | self.connections += 1 |
|
|
524 | 529 | if evt['event'] == 512: |
|
|
525 | 530 | pass |
|
|
526 | 531 | |
|
|
527 | 532 | evt.update({'description': events[evt['event']]}) |
|
|
528 | 533 | |
|
|
529 | 534 | if evt['event'] == zmq.EVENT_MONITOR_STOPPED: |
|
|
530 | 535 | break |
|
|
531 | 536 | monitor.close() |
|
|
532 | 537 | print('event monitor thread done!') |
|
|
533 | 538 | |
|
|
534 | 539 | def initThrottle(self, throttle_value): |
|
|
535 | 540 | |
|
|
536 | 541 | @throttle(seconds=throttle_value) |
|
|
537 | 542 | def sendDataThrottled(fn_sender, data): |
|
|
538 | 543 | fn_sender(data) |
|
|
539 | 544 | |
|
|
540 | 545 | return sendDataThrottled |
|
|
541 | 546 | |
|
|
542 | 547 | def send(self, data): |
|
|
543 | 548 | log.success('Sending {}'.format(data), self.name) |
|
|
544 | 549 | self.sender.send_pyobj(data) |
|
|
545 | 550 | |
|
|
546 | 551 | def run(self): |
|
|
547 | 552 | |
|
|
548 | 553 | log.success( |
|
|
549 | 554 | 'Starting from {}'.format(self.address), |
|
|
550 | 555 | self.name |
|
|
551 | 556 | ) |
|
|
552 | 557 | |
|
|
553 | 558 | self.context = zmq.Context() |
|
|
554 | 559 | self.receiver = self.context.socket(zmq.PULL) |
|
|
555 | 560 | self.receiver.bind(self.address) |
|
|
556 | 561 | monitor = self.receiver.get_monitor_socket() |
|
|
557 | 562 | self.sender = self.context.socket(zmq.PUB) |
|
|
558 | 563 | if self.realtime: |
|
|
559 | 564 | self.sender_web = self.context.socket(zmq.PUB) |
|
|
560 | 565 | self.sender_web.connect(self.plot_address) |
|
|
561 | 566 | time.sleep(1) |
|
|
562 | 567 | |
|
|
563 | 568 | if 'server' in self.kwargs: |
|
|
564 | 569 | self.sender.bind("ipc:///tmp/{}.plots".format(self.kwargs['server'])) |
|
|
565 | 570 | else: |
|
|
566 | 571 | self.sender.bind("ipc:///tmp/zmq.plots") |
|
|
567 | 572 | |
|
|
568 | 573 | time.sleep(2) |
|
|
569 | 574 | |
|
|
570 | 575 | t = Thread(target=self.event_monitor, args=(monitor,)) |
|
|
571 | 576 | t.start() |
|
|
572 | 577 | |
|
|
573 | 578 | while True: |
|
|
574 | 579 | dataOut = self.receiver.recv_pyobj() |
|
|
575 | 580 | if not dataOut.flagNoData: |
|
|
576 | 581 | if dataOut.type == 'Parameters': |
|
|
577 | 582 | tm = dataOut.utctimeInit |
|
|
578 | 583 | else: |
|
|
579 | 584 | tm = dataOut.utctime |
|
|
580 | 585 | if dataOut.useLocalTime: |
|
|
581 | 586 | if not self.localtime: |
|
|
582 | 587 | tm += time.timezone |
|
|
583 | 588 | dt = datetime.datetime.fromtimestamp(tm).date() |
|
|
584 | 589 | else: |
|
|
585 | 590 | if self.localtime: |
|
|
586 | 591 | tm -= time.timezone |
|
|
587 | 592 | dt = datetime.datetime.utcfromtimestamp(tm).date() |
|
|
588 | 593 | coerce = False |
|
|
589 | 594 | if dt not in self.dates: |
|
|
590 | 595 | if self.data: |
|
|
591 | 596 | self.data.ended = True |
|
|
592 | 597 | self.send(self.data) |
|
|
593 | 598 | coerce = True |
|
|
594 | 599 | self.data.setup() |
|
|
595 | 600 | self.dates.append(dt) |
|
|
596 | 601 | |
|
|
597 | 602 | self.data.update(dataOut) |
|
|
598 | 603 | |
|
|
599 | 604 | if dataOut.finished is True: |
|
|
600 | 605 | self.connections -= 1 |
|
|
601 | 606 | if self.connections == 0 and dt in self.dates: |
|
|
602 | 607 | self.data.ended = True |
|
|
603 | 608 | self.send(self.data) |
|
|
604 | 609 | self.data.setup() |
|
|
605 | 610 | else: |
|
|
606 | 611 | if self.realtime: |
|
|
607 | 612 | self.send(self.data) |
|
|
608 | 613 | # self.sender_web.send_string(self.data.jsonify()) |
|
|
609 | 614 | else: |
|
|
610 | 615 | self.sendData(self.send, self.data, coerce=coerce) |
|
|
611 | 616 | coerce = False |
|
|
612 | 617 | |
|
|
613 | 618 | return |
|
|
614 | 619 | |
|
|
615 | 620 | def sendToWeb(self): |
|
|
616 | 621 | |
|
|
617 | 622 | if not self.isWebConfig: |
|
|
618 | 623 | context = zmq.Context() |
|
|
619 | 624 | sender_web_config = context.socket(zmq.PUB) |
|
|
620 | 625 | if 'tcp://' in self.plot_address: |
|
|
621 | 626 | dum, address, port = self.plot_address.split(':') |
|
|
622 | 627 | conf_address = '{}:{}:{}'.format(dum, address, int(port)+1) |
|
|
623 | 628 | else: |
|
|
624 | 629 | conf_address = self.plot_address + '.config' |
|
|
625 | 630 | sender_web_config.bind(conf_address) |
|
|
626 | 631 | time.sleep(1) |
|
|
627 | 632 | for kwargs in self.operationKwargs.values(): |
|
|
628 | 633 | if 'plot' in kwargs: |
|
|
629 | 634 | log.success('[Sending] Config data to web for {}'.format(kwargs['code'].upper())) |
|
|
630 | 635 | sender_web_config.send_string(json.dumps(kwargs)) |
|
|
631 | 636 | self.isWebConfig = True |
| @@ -1,81 +1,80 | |||
|
|
1 | 1 | import schainpy |
|
|
2 | 2 | from schainpy.model import Operation, ProcessingUnit |
|
|
3 | from importlib import import_module | |
|
|
4 | 3 | from pydoc import locate |
|
|
5 | 4 | |
|
|
6 | 5 | def clean_modules(module): |
|
|
7 | 6 | noEndsUnder = [x for x in module if not x.endswith('__')] |
|
|
8 | 7 | noStartUnder = [x for x in noEndsUnder if not x.startswith('__')] |
|
|
9 | 8 | noFullUpper = [x for x in noStartUnder if not x.isupper()] |
|
|
10 | 9 | return noFullUpper |
|
|
11 | 10 | |
|
|
12 | 11 | def check_module(possible, instance): |
|
|
13 | 12 | def check(x): |
|
|
14 | try: | |
|
|
13 | try: | |
|
|
15 | 14 | instancia = locate('schainpy.model.{}'.format(x)) |
|
|
16 | 15 | return isinstance(instancia(), instance) |
|
|
17 | 16 | except Exception as e: |
|
|
18 | return False | |
|
|
17 | return False | |
|
|
19 | 18 | clean = clean_modules(possible) |
|
|
20 | 19 | return [x for x in clean if check(x)] |
|
|
21 | 20 | |
|
|
22 | 21 | |
|
|
23 | 22 | def getProcs(): |
|
|
24 |
module = dir( |
|
|
|
23 | module = dir(schainpy.model) | |
|
|
25 | 24 | procs = check_module(module, ProcessingUnit) |
|
|
26 | 25 | try: |
|
|
27 | 26 | procs.remove('ProcessingUnit') |
|
|
28 | 27 | except Exception as e: |
|
|
29 | 28 | pass |
|
|
30 | 29 | return procs |
|
|
31 | 30 | |
|
|
32 | 31 | def getOperations(): |
|
|
33 |
module = dir( |
|
|
|
32 | module = dir(schainpy.model) | |
|
|
34 | 33 | noProcs = [x for x in module if not x.endswith('Proc')] |
|
|
35 | 34 | operations = check_module(noProcs, Operation) |
|
|
36 | 35 | try: |
|
|
37 | 36 | operations.remove('Operation') |
|
|
38 | 37 | except Exception as e: |
|
|
39 | 38 | pass |
|
|
40 | 39 | return operations |
|
|
41 | 40 | |
|
|
42 | 41 | def getArgs(op): |
|
|
43 | 42 | module = locate('schainpy.model.{}'.format(op)) |
|
|
44 | 43 | args = module().getAllowedArgs() |
|
|
45 | 44 | try: |
|
|
46 | 45 | args.remove('self') |
|
|
47 | 46 | except Exception as e: |
|
|
48 | 47 | pass |
|
|
49 | 48 | try: |
|
|
50 | 49 | args.remove('dataOut') |
|
|
51 | 50 | except Exception as e: |
|
|
52 | 51 | pass |
|
|
53 | 52 | return args |
|
|
54 | 53 | |
|
|
55 | 54 | def getAll(): |
|
|
56 |
allModules = dir( |
|
|
|
55 | allModules = dir(schainpy.model) | |
|
|
57 | 56 | modules = check_module(allModules, Operation) |
|
|
58 | 57 | modules.extend(check_module(allModules, ProcessingUnit)) |
|
|
59 | 58 | return modules |
|
|
60 | 59 | |
|
|
61 | 60 | def formatArgs(op): |
|
|
62 | 61 | args = getArgs(op) |
|
|
63 | 62 | |
|
|
64 | 63 | argsAsKey = ["\t'{}'".format(x) for x in args] |
|
|
65 | 64 | argsFormatted = ": 'string',\n".join(argsAsKey) |
|
|
66 | 65 | |
|
|
67 | 66 | print op |
|
|
68 | 67 | print "parameters = { \n" + argsFormatted + ": 'string',\n }" |
|
|
69 | 68 | print '\n' |
|
|
70 | 69 | |
|
|
71 | 70 | |
|
|
72 | 71 | if __name__ == "__main__": |
|
|
73 | 72 | getAll() |
|
|
74 | 73 | [formatArgs(x) for x in getAll()] |
|
|
75 | 74 | |
|
|
76 | 75 | ''' |
|
|
77 | 76 | parameters = { |
|
|
78 | 77 | 'id': , |
|
|
79 | 78 | 'wintitle': , |
|
|
80 | 79 | } |
|
|
81 | 80 | ''' No newline at end of file |
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