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1 | ||
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2 | import os | |
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3 | import datetime | |
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4 | import numpy | |
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5 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator #YONG | |
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6 | ||
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7 | from .jroplot_spectra import RTIPlot, NoisePlot | |
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8 | ||
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9 | from schainpy.utils import log | |
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10 | from .plotting_codes import * | |
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11 | ||
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12 | from schainpy.model.graphics.jroplot_base import Plot, plt | |
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13 | ||
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14 | import matplotlib.pyplot as plt | |
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15 | import matplotlib.colors as colors | |
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16 | ||
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17 | import time | |
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18 | import math | |
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19 | ||
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20 | ||
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21 | from matplotlib.ticker import MultipleLocator | |
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22 | ||
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23 | ||
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24 | ||
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25 | class RTIDPPlot(RTIPlot): | |
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26 | ||
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27 | ''' | |
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28 | Plot for RTI Double Pulse Experiment | |
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29 | ''' | |
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30 | ||
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31 | CODE = 'RTIDP' | |
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32 | colormap = 'jro' | |
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33 | plot_name = 'RTI' | |
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34 | ||
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35 | #cb_label = 'Ne Electron Density (1/cm3)' | |
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36 | ||
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37 | def setup(self): | |
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38 | self.xaxis = 'time' | |
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39 | self.ncols = 1 | |
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40 | self.nrows = 3 | |
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41 | self.nplots = self.nrows | |
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42 | #self.height=10 | |
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43 | if self.showSNR: | |
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44 | self.nrows += 1 | |
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45 | self.nplots += 1 | |
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46 | ||
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47 | self.ylabel = 'Height [km]' | |
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48 | self.xlabel = 'Time (LT)' | |
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49 | ||
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50 | self.cb_label = 'Intensity (dB)' | |
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51 | ||
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52 | ||
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53 | #self.cb_label = cb_label | |
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54 | ||
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55 | self.titles = ['{} Channel {}'.format( | |
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56 | self.plot_name.upper(), '0x1'),'{} Channel {}'.format( | |
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57 | self.plot_name.upper(), '0'),'{} Channel {}'.format( | |
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58 | self.plot_name.upper(), '1')] | |
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59 | ||
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60 | ||
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61 | def plot(self): | |
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62 | ||
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63 | self.data.normalize_heights() | |
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64 | self.x = self.data.times | |
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65 | self.y = self.data.heights[0:self.data.NDP] | |
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66 | ||
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67 | if self.showSNR: | |
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68 | self.z = numpy.concatenate( | |
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69 | (self.data[self.CODE], self.data['snr']) | |
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70 | ) | |
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71 | else: | |
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72 | ||
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73 | self.z = self.data[self.CODE] | |
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74 | #print(numpy.max(self.z[0,0:])) | |
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75 | ||
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76 | self.z = numpy.ma.masked_invalid(self.z) | |
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77 | ||
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78 | if self.decimation is None: | |
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79 | x, y, z = self.fill_gaps(self.x, self.y, self.z) | |
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80 | else: | |
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81 | x, y, z = self.fill_gaps(*self.decimate()) | |
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82 | ||
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83 | for n, ax in enumerate(self.axes): | |
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84 | ||
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85 | ||
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86 | self.zmax = self.zmax if self.zmax is not None else numpy.max( | |
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87 | self.z[1][0,12:40]) | |
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88 | self.zmin = self.zmin if self.zmin is not None else numpy.min( | |
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89 | self.z[1][0,12:40]) | |
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90 | ||
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91 | ||
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92 | ||
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93 | if ax.firsttime: | |
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94 | ||
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95 | if self.zlimits is not None: | |
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96 | self.zmin, self.zmax = self.zlimits[n] | |
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97 | ||
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98 | ||
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99 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | |
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100 | vmin=self.zmin, | |
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101 | vmax=self.zmax, | |
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102 | cmap=self.cmaps[n] | |
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103 | ) | |
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104 | #plt.tight_layout() | |
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105 | else: | |
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106 | if self.zlimits is not None: | |
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107 | self.zmin, self.zmax = self.zlimits[n] | |
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108 | ax.collections.remove(ax.collections[0]) | |
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109 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | |
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110 | vmin=self.zmin, | |
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111 | vmax=self.zmax, | |
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112 | cmap=self.cmaps[n] | |
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113 | ) | |
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114 | #plt.tight_layout() | |
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115 | ||
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116 | ||
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117 | class RTILPPlot(RTIPlot): | |
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118 | ||
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119 | ''' | |
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120 | Plot for RTI Long Pulse | |
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121 | ''' | |
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122 | ||
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123 | CODE = 'RTILP' | |
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124 | colormap = 'jro' | |
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125 | plot_name = 'RTI LP' | |
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126 | ||
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127 | #cb_label = 'Ne Electron Density (1/cm3)' | |
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128 | ||
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129 | def setup(self): | |
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130 | self.xaxis = 'time' | |
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131 | self.ncols = 1 | |
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132 | self.nrows = 4 | |
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133 | self.nplots = self.nrows | |
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134 | if self.showSNR: | |
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135 | self.nrows += 1 | |
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136 | self.nplots += 1 | |
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137 | ||
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138 | self.ylabel = 'Height [km]' | |
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139 | self.xlabel = 'Time (LT)' | |
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140 | ||
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141 | self.cb_label = 'Intensity (dB)' | |
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142 | ||
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143 | ||
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144 | ||
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145 | #self.cb_label = cb_label | |
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146 | ||
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147 | self.titles = ['{} Channel {}'.format( | |
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148 | self.plot_name.upper(), '0'),'{} Channel {}'.format( | |
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149 | self.plot_name.upper(), '1'),'{} Channel {}'.format( | |
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150 | self.plot_name.upper(), '2'),'{} Channel {}'.format( | |
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151 | self.plot_name.upper(), '3')] | |
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152 | ||
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153 | ||
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154 | def plot(self): | |
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155 | ||
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156 | self.data.normalize_heights() | |
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157 | self.x = self.data.times | |
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158 | self.y = self.data.heights[0:self.data.NRANGE] | |
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159 | ||
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160 | if self.showSNR: | |
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161 | self.z = numpy.concatenate( | |
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162 | (self.data[self.CODE], self.data['snr']) | |
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163 | ) | |
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164 | else: | |
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165 | ||
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166 | self.z = self.data[self.CODE] | |
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167 | #print(numpy.max(self.z[0,0:])) | |
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168 | ||
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169 | self.z = numpy.ma.masked_invalid(self.z) | |
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170 | ||
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171 | if self.decimation is None: | |
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172 | x, y, z = self.fill_gaps(self.x, self.y, self.z) | |
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173 | else: | |
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174 | x, y, z = self.fill_gaps(*self.decimate()) | |
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175 | ||
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176 | for n, ax in enumerate(self.axes): | |
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177 | ||
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178 | ||
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179 | self.zmax = self.zmax if self.zmax is not None else numpy.max( | |
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180 | self.z[1][0,12:40]) | |
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181 | self.zmin = self.zmin if self.zmin is not None else numpy.min( | |
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182 | self.z[1][0,12:40]) | |
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183 | ||
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184 | if ax.firsttime: | |
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185 | ||
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186 | if self.zlimits is not None: | |
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187 | self.zmin, self.zmax = self.zlimits[n] | |
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188 | ||
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189 | ||
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190 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | |
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191 | vmin=self.zmin, | |
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192 | vmax=self.zmax, | |
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193 | cmap=self.cmaps[n] | |
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194 | ) | |
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195 | #plt.tight_layout() | |
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196 | else: | |
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197 | if self.zlimits is not None: | |
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198 | self.zmin, self.zmax = self.zlimits[n] | |
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199 | ax.collections.remove(ax.collections[0]) | |
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200 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | |
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201 | vmin=self.zmin, | |
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202 | vmax=self.zmax, | |
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203 | cmap=self.cmaps[n] | |
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204 | ) | |
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205 | #plt.tight_layout() | |
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206 | ||
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207 | ||
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208 | class DenRTIPlot(RTIPlot): | |
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209 | ||
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210 | ''' | |
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211 | Plot for Den | |
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212 | ''' | |
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213 | ||
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214 | CODE = 'denrti' | |
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215 | colormap = 'jro' | |
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216 | plot_name = 'Electron Density' | |
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217 | ||
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218 | #cb_label = 'Ne Electron Density (1/cm3)' | |
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219 | ||
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220 | def setup(self): | |
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221 | self.xaxis = 'time' | |
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222 | self.ncols = 1 | |
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223 | self.nrows = self.data.shape(self.CODE)[0] | |
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224 | self.nplots = self.nrows | |
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225 | if self.showSNR: | |
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226 | self.nrows += 1 | |
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227 | self.nplots += 1 | |
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228 | ||
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229 | self.ylabel = 'Height [km]' | |
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230 | self.xlabel = 'Time (LT)' | |
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231 | ||
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232 | self.plots_adjust.update({'wspace': 0.8, 'hspace':0.2, 'left': 0.2, 'right': 0.9, 'bottom': 0.18}) | |
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233 | ||
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234 | if self.CODE == 'denrti' or self.CODE=='denrtiLP': | |
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235 | self.cb_label = r'$\mathrm{N_e}$ Electron Density ($\mathrm{1/cm^3}$)' | |
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236 | ||
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237 | #self.cb_label = cb_label | |
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238 | if not self.titles: | |
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239 | self.titles = self.data.parameters \ | |
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240 | if self.data.parameters else ['{}'.format(self.plot_name)] | |
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241 | if self.showSNR: | |
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242 | self.titles.append('SNR') | |
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243 | ||
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244 | def plot(self): | |
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245 | ||
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246 | self.data.normalize_heights() | |
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247 | self.x = self.data.times | |
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248 | self.y = self.data.heights | |
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249 | ||
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250 | ||
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251 | ||
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252 | if self.showSNR: | |
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253 | self.z = numpy.concatenate( | |
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254 | (self.data[self.CODE], self.data['snr']) | |
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255 | ) | |
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256 | else: | |
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257 | self.z = self.data[self.CODE] | |
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258 | ||
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259 | self.z = numpy.ma.masked_invalid(self.z) | |
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260 | ||
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261 | if self.decimation is None: | |
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262 | x, y, z = self.fill_gaps(self.x, self.y, self.z) | |
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263 | else: | |
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264 | x, y, z = self.fill_gaps(*self.decimate()) | |
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265 | ||
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266 | for n, ax in enumerate(self.axes): | |
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267 | ||
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268 | self.zmax = self.zmax if self.zmax is not None else numpy.max( | |
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269 | self.z[n]) | |
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270 | self.zmin = self.zmin if self.zmin is not None else numpy.min( | |
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271 | self.z[n]) | |
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272 | ||
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273 | if ax.firsttime: | |
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274 | ||
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275 | if self.zlimits is not None: | |
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276 | self.zmin, self.zmax = self.zlimits[n] | |
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277 | if numpy.log10(self.zmin)<0: | |
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278 | self.zmin=1 | |
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279 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | |
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280 | vmin=self.zmin, | |
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281 | vmax=self.zmax, | |
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282 | cmap=self.cmaps[n], | |
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283 | norm=colors.LogNorm() | |
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284 | ) | |
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285 | #plt.tight_layout() | |
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286 | ||
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287 | else: | |
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288 | if self.zlimits is not None: | |
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289 | self.zmin, self.zmax = self.zlimits[n] | |
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290 | ax.collections.remove(ax.collections[0]) | |
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291 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | |
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292 | vmin=self.zmin, | |
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293 | vmax=self.zmax, | |
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294 | cmap=self.cmaps[n], | |
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295 | norm=colors.LogNorm() | |
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296 | ) | |
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297 | #plt.tight_layout() | |
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298 | ||
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299 | ||
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300 | ||
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301 | class DenRTILPPlot(DenRTIPlot): | |
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302 | ||
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303 | ''' | |
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304 | Plot for Electron Temperature | |
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305 | ''' | |
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306 | ||
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307 | CODE = 'denrtiLP' | |
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308 | colormap = 'jro' | |
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309 | plot_name = 'Electron Density' | |
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310 | ||
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311 | ||
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312 | class ETempRTIPlot(RTIPlot): | |
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313 | ||
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314 | ''' | |
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315 | Plot for Electron Temperature | |
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316 | ''' | |
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317 | ||
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318 | CODE = 'ETemp' | |
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319 | colormap = 'jet' | |
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320 | plot_name = 'Electron Temperature' | |
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321 | ||
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322 | #cb_label = 'Ne Electron Density (1/cm3)' | |
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323 | ||
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324 | def setup(self): | |
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325 | self.xaxis = 'time' | |
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326 | self.ncols = 1 | |
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327 | self.nrows = self.data.shape(self.CODE)[0] | |
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328 | self.nplots = self.nrows | |
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329 | if self.showSNR: | |
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330 | self.nrows += 1 | |
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331 | self.nplots += 1 | |
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332 | ||
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333 | self.ylabel = 'Height [km]' | |
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334 | self.xlabel = 'Time (LT)' | |
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335 | self.plots_adjust.update({'wspace': 0.8, 'hspace':0.2, 'left': 0.2, 'right': 0.9, 'bottom': 0.18}) | |
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336 | if self.CODE == 'ETemp' or self.CODE == 'ETempLP': | |
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337 | self.cb_label = 'Electron Temperature (K)' | |
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338 | if self.CODE == 'ITemp' or self.CODE == 'ITempLP': | |
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339 | self.cb_label = 'Ion Temperature (K)' | |
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340 | ||
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341 | ||
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342 | if not self.titles: | |
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343 | self.titles = self.data.parameters \ | |
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344 | if self.data.parameters else ['{}'.format(self.plot_name)] | |
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345 | if self.showSNR: | |
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346 | self.titles.append('SNR') | |
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347 | ||
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348 | def plot(self): | |
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349 | ||
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350 | self.data.normalize_heights() | |
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351 | self.x = self.data.times | |
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352 | self.y = self.data.heights | |
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353 | ||
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354 | if self.showSNR: | |
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355 | self.z = numpy.concatenate( | |
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356 | (self.data[self.CODE], self.data['snr']) | |
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357 | ) | |
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358 | else: | |
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359 | self.z = self.data[self.CODE] | |
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360 | ||
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361 | self.z = numpy.ma.masked_invalid(self.z) | |
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362 | ||
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363 | if self.decimation is None: | |
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364 | x, y, z = self.fill_gaps(self.x, self.y, self.z) | |
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365 | else: | |
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366 | x, y, z = self.fill_gaps(*self.decimate()) | |
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367 | ||
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368 | for n, ax in enumerate(self.axes): | |
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369 | ||
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370 | self.zmax = self.zmax if self.zmax is not None else numpy.max( | |
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371 | self.z[n]) | |
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372 | self.zmin = self.zmin if self.zmin is not None else numpy.min( | |
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373 | self.z[n]) | |
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374 | ||
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375 | if ax.firsttime: | |
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376 | ||
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377 | if self.zlimits is not None: | |
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378 | self.zmin, self.zmax = self.zlimits[n] | |
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379 | ||
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380 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | |
|
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381 | vmin=self.zmin, | |
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382 | vmax=self.zmax, | |
|
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383 | cmap=self.cmaps[n] | |
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384 | ) | |
|
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385 | #plt.tight_layout() | |
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386 | ||
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387 | else: | |
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388 | if self.zlimits is not None: | |
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389 | self.zmin, self.zmax = self.zlimits[n] | |
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390 | ax.collections.remove(ax.collections[0]) | |
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391 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | |
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392 | vmin=self.zmin, | |
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393 | vmax=self.zmax, | |
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394 | cmap=self.cmaps[n] | |
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395 | ) | |
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396 | #plt.tight_layout() | |
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397 | ||
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398 | ||
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399 | ||
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400 | class ITempRTIPlot(ETempRTIPlot): | |
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401 | ||
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402 | ''' | |
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403 | Plot for Ion Temperature | |
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404 | ''' | |
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405 | ||
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406 | CODE = 'ITemp' | |
|
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407 | colormap = 'jet' | |
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408 | plot_name = 'Ion Temperature' | |
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409 | ||
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410 | ||
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411 | class ElectronTempLPPlot(ETempRTIPlot): | |
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412 | ||
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413 | ''' | |
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414 | Plot for Electron Temperature LP | |
|
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415 | ''' | |
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416 | ||
|
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417 | CODE = 'ETempLP' | |
|
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418 | colormap = 'jet' | |
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419 | plot_name = 'Electron Temperature' | |
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420 | ||
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421 | ||
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422 | class IonTempLPPlot(ETempRTIPlot): | |
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423 | ||
|
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424 | ''' | |
|
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425 | Plot for Ion Temperature LP | |
|
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426 | ''' | |
|
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427 | ||
|
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428 | CODE = 'ITempLP' | |
|
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429 | colormap = 'jet' | |
|
|
430 | plot_name = 'Ion Temperature' | |
|
|
431 | ||
|
|
432 | ||
|
|
433 | class HFracRTIPlot(ETempRTIPlot): | |
|
|
434 | ||
|
|
435 | ''' | |
|
|
436 | Plot for H+ LP | |
|
|
437 | ''' | |
|
|
438 | ||
|
|
439 | CODE = 'HFracLP' | |
|
|
440 | colormap = 'jet' | |
|
|
441 | plot_name = 'H+ Frac' | |
|
|
442 | ||
|
|
443 | ||
|
|
444 | class HeFracRTIPlot(ETempRTIPlot): | |
|
|
445 | ||
|
|
446 | ''' | |
|
|
447 | Plot for He+ LP | |
|
|
448 | ''' | |
|
|
449 | ||
|
|
450 | CODE = 'HeFracLP' | |
|
|
451 | colormap = 'jet' | |
|
|
452 | plot_name = 'He+ Frac' | |
|
|
453 | ||
|
|
454 | ||
|
|
455 | class TempsDPPlot(Plot): | |
|
|
456 | ''' | |
|
|
457 | Plot for Electron - Ion Temperatures | |
|
|
458 | ''' | |
|
|
459 | ||
|
|
460 | CODE = 'tempsDP' | |
|
|
461 | plot_name = 'Temperatures' | |
|
|
462 | plot_type = 'scatterbuffer' | |
|
|
463 | ||
|
|
464 | ||
|
|
465 | def setup(self): | |
|
|
466 | ||
|
|
467 | self.ncols = 1 | |
|
|
468 | self.nrows = 1 | |
|
|
469 | self.nplots = 1 | |
|
|
470 | self.ylabel = 'Range [km]' | |
|
|
471 | self.xlabel = 'Temperature (K)' | |
|
|
472 | self.width = 3.5 | |
|
|
473 | self.height = 5.5 | |
|
|
474 | self.colorbar = False | |
|
|
475 | self.plots_adjust.update({'wspace': 0.8, 'hspace':0.2, 'left': 0.2, 'right': 0.9, 'bottom': 0.18}) | |
|
|
476 | if not self.titles: | |
|
|
477 | self.titles = self.data.parameters \ | |
|
|
478 | if self.data.parameters else ['{}'.format(self.CODE.upper())] | |
|
|
479 | ||
|
|
480 | def plot(self): | |
|
|
481 | ||
|
|
482 | self.x = self.data['tempsDP'][:,-1] | |
|
|
483 | self.y = self.data.heights[0:self.data.NSHTS] | |
|
|
484 | ||
|
|
485 | self.xmin = -100 | |
|
|
486 | self.xmax = 5000 | |
|
|
487 | ax = self.axes[0] | |
|
|
488 | ||
|
|
489 | if ax.firsttime: | |
|
|
490 | ||
|
|
491 | ax.errorbar(self.x, self.y, xerr=self.data.ete2, fmt='r^',elinewidth=1.0,color='b',linewidth=2.0, label='Te') | |
|
|
492 | ax.errorbar(self.data.ti2, self.y, fmt='k^', xerr=self.data.eti2,elinewidth=1.0,color='b',linewidth=2.0, label='Ti') | |
|
|
493 | plt.legend(loc='lower right') | |
|
|
494 | self.ystep_given = 50 | |
|
|
495 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
496 | ax.grid(which='minor') | |
|
|
497 | #plt.tight_layout() | |
|
|
498 | ||
|
|
499 | ||
|
|
500 | else: | |
|
|
501 | self.clear_figures() | |
|
|
502 | ax.errorbar(self.x, self.y, xerr=self.data.ete2, fmt='r^',elinewidth=1.0,color='b',linewidth=2.0, label='Te') | |
|
|
503 | ax.errorbar(self.data.ti2, self.y, fmt='k^', xerr=self.data.eti2,elinewidth=1.0,color='b',linewidth=2.0, label='Ti') | |
|
|
504 | plt.legend(loc='lower right') | |
|
|
505 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
506 | #plt.tight_layout() | |
|
|
507 | ||
|
|
508 | ||
|
|
509 | class TempsHPPlot(Plot): | |
|
|
510 | ''' | |
|
|
511 | Plot for Temperatures Hybrid Experiment | |
|
|
512 | ''' | |
|
|
513 | ||
|
|
514 | CODE = 'temps_LP' | |
|
|
515 | plot_name = 'Temperatures' | |
|
|
516 | plot_type = 'scatterbuffer' | |
|
|
517 | ||
|
|
518 | ||
|
|
519 | def setup(self): | |
|
|
520 | ||
|
|
521 | self.ncols = 1 | |
|
|
522 | self.nrows = 1 | |
|
|
523 | self.nplots = 1 | |
|
|
524 | self.ylabel = 'Range [km]' | |
|
|
525 | self.xlabel = 'Temperature (K)' | |
|
|
526 | self.width = 3.5 | |
|
|
527 | self.height = 6.5 | |
|
|
528 | self.colorbar = False | |
|
|
529 | if not self.titles: | |
|
|
530 | self.titles = self.data.parameters \ | |
|
|
531 | if self.data.parameters else ['{}'.format(self.CODE.upper())] | |
|
|
532 | ||
|
|
533 | def plot(self): | |
|
|
534 | ||
|
|
535 | self.x = self.data['temps_LP'][:,-1] | |
|
|
536 | self.y = self.data.heights[0:self.data.NACF] | |
|
|
537 | self.xmin = -100 | |
|
|
538 | self.xmax = 4500 | |
|
|
539 | ax = self.axes[0] | |
|
|
540 | ||
|
|
541 | if ax.firsttime: | |
|
|
542 | ||
|
|
543 | ax.errorbar(self.x, self.y, xerr=self.data.ete, fmt='r^',elinewidth=1.0,color='b',linewidth=2.0, label='Te') | |
|
|
544 | ax.errorbar(self.data.ti, self.y, fmt='k^', xerr=self.data.eti,elinewidth=1.0,color='b',linewidth=2.0, label='Ti') | |
|
|
545 | plt.legend(loc='lower right') | |
|
|
546 | self.ystep_given = 200 | |
|
|
547 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
548 | ax.grid(which='minor') | |
|
|
549 | #plt.tight_layout() | |
|
|
550 | ||
|
|
551 | ||
|
|
552 | else: | |
|
|
553 | self.clear_figures() | |
|
|
554 | ax.errorbar(self.x, self.y, xerr=self.data.ete, fmt='r^',elinewidth=1.0,color='b',linewidth=2.0, label='Te') | |
|
|
555 | ax.errorbar(self.data.ti, self.y, fmt='k^', xerr=self.data.eti,elinewidth=1.0,color='b',linewidth=2.0, label='Ti') | |
|
|
556 | plt.legend(loc='lower right') | |
|
|
557 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
558 | #plt.tight_layout() | |
|
|
559 | ||
|
|
560 | ||
|
|
561 | class FracsHPPlot(Plot): | |
|
|
562 | ''' | |
|
|
563 | Plot for Composition LP | |
|
|
564 | ''' | |
|
|
565 | ||
|
|
566 | CODE = 'fracs_LP' | |
|
|
567 | plot_name = 'Composition' | |
|
|
568 | plot_type = 'scatterbuffer' | |
|
|
569 | ||
|
|
570 | ||
|
|
571 | def setup(self): | |
|
|
572 | ||
|
|
573 | self.ncols = 1 | |
|
|
574 | self.nrows = 1 | |
|
|
575 | self.nplots = 1 | |
|
|
576 | self.ylabel = 'Range [km]' | |
|
|
577 | self.xlabel = 'Frac' | |
|
|
578 | self.width = 3.5 | |
|
|
579 | self.height = 6.5 | |
|
|
580 | self.colorbar = False | |
|
|
581 | if not self.titles: | |
|
|
582 | self.titles = self.data.parameters \ | |
|
|
583 | if self.data.parameters else ['{}'.format(self.CODE.upper())] | |
|
|
584 | ||
|
|
585 | def plot(self): | |
|
|
586 | ||
|
|
587 | self.x = self.data['fracs_LP'][:,-1] | |
|
|
588 | self.y = self.data.heights[0:self.data.NACF] | |
|
|
589 | ||
|
|
590 | self.xmin = 0 | |
|
|
591 | self.xmax = 1 | |
|
|
592 | ax = self.axes[0] | |
|
|
593 | ||
|
|
594 | if ax.firsttime: | |
|
|
595 | ||
|
|
596 | ax.errorbar(self.x, self.y[self.data.cut:], xerr=self.data.eph, fmt='r^',elinewidth=1.0,color='b',linewidth=2.0, label='H+') | |
|
|
597 | ax.errorbar(self.data.phe, self.y[self.data.cut:], fmt='k^', xerr=self.data.ephe,elinewidth=1.0,color='b',linewidth=2.0, label='He+') | |
|
|
598 | plt.legend(loc='lower right') | |
|
|
599 | self.xstep_given = 0.2 | |
|
|
600 | self.ystep_given = 200 | |
|
|
601 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
602 | ax.grid(which='minor') | |
|
|
603 | #plt.tight_layout() | |
|
|
604 | ||
|
|
605 | ||
|
|
606 | else: | |
|
|
607 | self.clear_figures() | |
|
|
608 | ax.errorbar(self.x, self.y[self.data.cut:], xerr=self.data.eph, fmt='r^',elinewidth=1.0,color='b',linewidth=2.0, label='H+') | |
|
|
609 | ax.errorbar(self.data.phe, self.y[self.data.cut:], fmt='k^', xerr=self.data.ephe,elinewidth=1.0,color='b',linewidth=2.0, label='He+') | |
|
|
610 | plt.legend(loc='lower right') | |
|
|
611 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
612 | #plt.tight_layout() | |
|
|
613 | ||
|
|
614 | ||
|
|
615 | ||
|
|
616 | class EDensityPlot(Plot): | |
|
|
617 | ''' | |
|
|
618 | Plot for electron density | |
|
|
619 | ''' | |
|
|
620 | ||
|
|
621 | CODE = 'den' | |
|
|
622 | plot_name = 'Electron Density' | |
|
|
623 | plot_type = 'scatterbuffer' | |
|
|
624 | ||
|
|
625 | ||
|
|
626 | def setup(self): | |
|
|
627 | ||
|
|
628 | self.ncols = 1 | |
|
|
629 | self.nrows = 1 | |
|
|
630 | self.nplots = 1 | |
|
|
631 | self.ylabel = 'Range [km]' | |
|
|
632 | self.xlabel = r'$\mathrm{N_e}$ Electron Density ($\mathrm{1/cm^3}$)' | |
|
|
633 | self.width = 4 | |
|
|
634 | self.height = 6.5 | |
|
|
635 | self.colorbar = False | |
|
|
636 | self.plots_adjust.update({'wspace': 0.8, 'hspace':0.2, 'left': 0.2, 'right': 0.9, 'bottom': 0.18}) | |
|
|
637 | if not self.titles: | |
|
|
638 | self.titles = self.data.parameters \ | |
|
|
639 | if self.data.parameters else ['{}'.format(self.CODE.upper())] | |
|
|
640 | ||
|
|
641 | def plot(self): | |
|
|
642 | ||
|
|
643 | ||
|
|
644 | self.x = self.data[self.CODE] | |
|
|
645 | self.y = self.data.heights | |
|
|
646 | self.xmin = 1000 | |
|
|
647 | self.xmax = 10000000 | |
|
|
648 | ax = self.axes[0] | |
|
|
649 | ||
|
|
650 | if ax.firsttime: | |
|
|
651 | self.autoxticks=False | |
|
|
652 | #if self.CODE=='den': | |
|
|
653 | ax.errorbar(self.data.dphi, self.y[:self.data.NSHTS], xerr=1, fmt='h-',elinewidth=1.0,color='g',linewidth=1.0, label='Faraday Profile',markersize=2) | |
|
|
654 | #ax.errorbar(self.data.dphi, self.y[:self.data.NSHTS], xerr=self.data.sdn1, fmt='h-',elinewidth=1.0,color='g',linewidth=1.0, label='Faraday Profile',markersize=2) | |
|
|
655 | ||
|
|
656 | ax.errorbar(self.x[:,-1], self.y[:self.data.NSHTS], fmt='k^-', xerr=self.data.sdp2,elinewidth=1.0,color='b',linewidth=1.0, label='Power Profile',markersize=2) | |
|
|
657 | #else: | |
|
|
658 | #ax.errorbar(self.data.dphi[:self.data.cut], self.y[:self.data.cut], xerr=1, fmt='h-',elinewidth=1.0,color='g',linewidth=1.0, label='Faraday Profile',markersize=2) | |
|
|
659 | #ax.errorbar(self.x[:self.data.cut,-1], self.y[:self.data.cut], fmt='k^-', xerr=self.data.sdp2[:self.data.cut],elinewidth=1.0,color='b',linewidth=1.0, label='Power Profile',markersize=2) | |
|
|
660 | ||
|
|
661 | if self.CODE=='denLP': | |
|
|
662 | ax.errorbar(self.data.ne[self.data.cut:], self.y[self.data.cut:], xerr=self.data.ene[self.data.cut:], fmt='r^-',elinewidth=1.0,color='r',linewidth=1.0, label='LP Profile',markersize=2) | |
|
|
663 | ||
|
|
664 | plt.legend(loc='upper right') | |
|
|
665 | ax.set_xscale("log", nonposx='clip') | |
|
|
666 | grid_y_ticks=numpy.arange(numpy.nanmin(self.y),numpy.nanmax(self.y),50) | |
|
|
667 | self.ystep_given=100 | |
|
|
668 | if self.CODE=='denLP': | |
|
|
669 | self.ystep_given=200 | |
|
|
670 | ax.set_yticks(grid_y_ticks,minor=True) | |
|
|
671 | ax.grid(which='minor') | |
|
|
672 | #plt.tight_layout() | |
|
|
673 | ||
|
|
674 | ||
|
|
675 | ||
|
|
676 | else: | |
|
|
677 | ||
|
|
678 | self.clear_figures() | |
|
|
679 | #if self.CODE=='den': | |
|
|
680 | ax.errorbar(self.data.dphi, self.y[:self.data.NSHTS], xerr=1, fmt='h-',elinewidth=1.0,color='g',linewidth=1.0, label='Faraday Profile',markersize=2) | |
|
|
681 | #ax.errorbar(self.data.dphi, self.y[:self.data.NSHTS], xerr=self.data.sdn1, fmt='h-',elinewidth=1.0,color='g',linewidth=1.0, label='Faraday Profile',markersize=2) | |
|
|
682 | ||
|
|
683 | ax.errorbar(self.x[:,-1], self.y[:self.data.NSHTS], fmt='k^-', xerr=self.data.sdp2,elinewidth=1.0,color='b',linewidth=1.0, label='Power Profile',markersize=2) | |
|
|
684 | ax.errorbar(self.x[:,-2], self.y[:self.data.NSHTS], elinewidth=1.0,color='r',linewidth=0.5,linestyle="dashed") | |
|
|
685 | #else: | |
|
|
686 | #ax.errorbar(self.data.dphi[:self.data.cut], self.y[:self.data.cut], xerr=1, fmt='h-',elinewidth=1.0,color='g',linewidth=1.0, label='Faraday Profile',markersize=2) | |
|
|
687 | #ax.errorbar(self.x[:self.data.cut,-1], self.y[:self.data.cut], fmt='k^-', xerr=self.data.sdp2[:self.data.cut],elinewidth=1.0,color='b',linewidth=1.0, label='Power Profile',markersize=2) | |
|
|
688 | #ax.errorbar(self.x[:self.data.cut,-2], self.y[:self.data.cut], elinewidth=1.0,color='r',linewidth=0.5,linestyle="dashed") | |
|
|
689 | ||
|
|
690 | if self.CODE=='denLP': | |
|
|
691 | ax.errorbar(self.data.ne[self.data.cut:], self.y[self.data.cut:], fmt='r^-', xerr=self.data.ene[self.data.cut:],elinewidth=1.0,color='r',linewidth=1.0, label='LP Profile',markersize=2) | |
|
|
692 | ||
|
|
693 | ax.set_xscale("log", nonposx='clip') | |
|
|
694 | grid_y_ticks=numpy.arange(numpy.nanmin(self.y),numpy.nanmax(self.y),50) | |
|
|
695 | ax.set_yticks(grid_y_ticks,minor=True) | |
|
|
696 | ax.grid(which='minor') | |
|
|
697 | plt.legend(loc='upper right') | |
|
|
698 | #plt.tight_layout() | |
|
|
699 | ||
|
|
700 | class FaradayAnglePlot(Plot): | |
|
|
701 | ''' | |
|
|
702 | Plot for electron density | |
|
|
703 | ''' | |
|
|
704 | ||
|
|
705 | CODE = 'FaradayAngle' | |
|
|
706 | plot_name = 'Faraday Angle' | |
|
|
707 | plot_type = 'scatterbuffer' | |
|
|
708 | ||
|
|
709 | ||
|
|
710 | def setup(self): | |
|
|
711 | ||
|
|
712 | self.ncols = 1 | |
|
|
713 | self.nrows = 1 | |
|
|
714 | self.nplots = 1 | |
|
|
715 | self.ylabel = 'Range [km]' | |
|
|
716 | self.xlabel = 'Faraday Angle (º)' | |
|
|
717 | self.width = 4 | |
|
|
718 | self.height = 6.5 | |
|
|
719 | self.colorbar = False | |
|
|
720 | if not self.titles: | |
|
|
721 | self.titles = self.data.parameters \ | |
|
|
722 | if self.data.parameters else ['{}'.format(self.CODE.upper())] | |
|
|
723 | ||
|
|
724 | def plot(self): | |
|
|
725 | ||
|
|
726 | ||
|
|
727 | self.x = self.data[self.CODE] | |
|
|
728 | self.y = self.data.heights | |
|
|
729 | self.xmin = -180 | |
|
|
730 | self.xmax = 180 | |
|
|
731 | ax = self.axes[0] | |
|
|
732 | ||
|
|
733 | if ax.firsttime: | |
|
|
734 | self.autoxticks=False | |
|
|
735 | #if self.CODE=='den': | |
|
|
736 | ax.plot(self.x, self.y,marker='o',color='g',linewidth=1.0,markersize=2) | |
|
|
737 | ||
|
|
738 | grid_y_ticks=numpy.arange(numpy.nanmin(self.y),numpy.nanmax(self.y),50) | |
|
|
739 | self.ystep_given=100 | |
|
|
740 | if self.CODE=='denLP': | |
|
|
741 | self.ystep_given=200 | |
|
|
742 | ax.set_yticks(grid_y_ticks,minor=True) | |
|
|
743 | ax.grid(which='minor') | |
|
|
744 | #plt.tight_layout() | |
|
|
745 | else: | |
|
|
746 | ||
|
|
747 | self.clear_figures() | |
|
|
748 | #if self.CODE=='den': | |
|
|
749 | #print(numpy.shape(self.x)) | |
|
|
750 | ax.plot(self.x[:,-1], self.y, marker='o',color='g',linewidth=1.0, markersize=2) | |
|
|
751 | ||
|
|
752 | grid_y_ticks=numpy.arange(numpy.nanmin(self.y),numpy.nanmax(self.y),50) | |
|
|
753 | ax.set_yticks(grid_y_ticks,minor=True) | |
|
|
754 | ax.grid(which='minor') | |
|
|
755 | ||
|
|
756 | class EDensityHPPlot(EDensityPlot): | |
|
|
757 | ||
|
|
758 | ''' | |
|
|
759 | Plot for Electron Density Hybrid Experiment | |
|
|
760 | ''' | |
|
|
761 | ||
|
|
762 | CODE = 'denLP' | |
|
|
763 | plot_name = 'Electron Density' | |
|
|
764 | plot_type = 'scatterbuffer' | |
|
|
765 | ||
|
|
766 | ||
|
|
767 | class ACFsPlot(Plot): | |
|
|
768 | ''' | |
|
|
769 | Plot for ACFs Double Pulse Experiment | |
|
|
770 | ''' | |
|
|
771 | ||
|
|
772 | CODE = 'acfs' | |
|
|
773 | plot_name = 'ACF' | |
|
|
774 | plot_type = 'scatterbuffer' | |
|
|
775 | ||
|
|
776 | ||
|
|
777 | def setup(self): | |
|
|
778 | #self.xaxis = 'time' | |
|
|
779 | self.ncols = 1 | |
|
|
780 | self.nrows = 1 | |
|
|
781 | self.nplots = 1 | |
|
|
782 | self.ylabel = 'Range [km]' | |
|
|
783 | self.xlabel = 'lags (ms)' | |
|
|
784 | self.width = 3.5 | |
|
|
785 | self.height = 6 | |
|
|
786 | self.colorbar = False | |
|
|
787 | self.plots_adjust.update({'wspace': 0.8, 'hspace':0.2, 'left': 0.2, 'right': 0.9, 'bottom': 0.18}) | |
|
|
788 | if not self.titles: | |
|
|
789 | self.titles = self.data.parameters \ | |
|
|
790 | if self.data.parameters else ['{}'.format(self.CODE.upper())] | |
|
|
791 | ||
|
|
792 | def plot(self): | |
|
|
793 | ||
|
|
794 | self.x = self.data.lags_to_plot | |
|
|
795 | self.y = self.data['acfs'][:,-1] | |
|
|
796 | ||
|
|
797 | ||
|
|
798 | self.xmin = 0.0 | |
|
|
799 | self.xmax = 2.0 | |
|
|
800 | ||
|
|
801 | ax = self.axes[0] | |
|
|
802 | ||
|
|
803 | if ax.firsttime: | |
|
|
804 | ||
|
|
805 | for i in range(self.data.NSHTS): | |
|
|
806 | x_aux = numpy.isfinite(self.x[i,:]) | |
|
|
807 | y_aux = numpy.isfinite(self.y[i,:]) | |
|
|
808 | yerr_aux = numpy.isfinite(self.data.acfs_error_to_plot[i,:]) | |
|
|
809 | x_igcej_aux = numpy.isfinite(self.data.x_igcej_to_plot[i,:]) | |
|
|
810 | y_igcej_aux = numpy.isfinite(self.data.y_igcej_to_plot[i,:]) | |
|
|
811 | x_ibad_aux = numpy.isfinite(self.data.x_ibad_to_plot[i,:]) | |
|
|
812 | y_ibad_aux = numpy.isfinite(self.data.y_ibad_to_plot[i,:]) | |
|
|
813 | if self.x[i,:][~numpy.isnan(self.x[i,:])].shape[0]>2: | |
|
|
814 | ax.errorbar(self.x[i,x_aux], self.y[i,y_aux], yerr=self.data.acfs_error_to_plot[i,x_aux],color='b',marker='o',linewidth=1.0,markersize=2) | |
|
|
815 | ax.plot(self.data.x_igcej_to_plot[i,x_igcej_aux],self.data.y_igcej_to_plot[i,y_igcej_aux],'x',color='red',markersize=2) | |
|
|
816 | ax.plot(self.data.x_ibad_to_plot[i,x_ibad_aux],self.data.y_ibad_to_plot[i,y_ibad_aux],'X',color='red',markersize=2) | |
|
|
817 | ||
|
|
818 | self.xstep_given = (self.xmax-self.xmin)/(self.data.DPL-1) | |
|
|
819 | self.ystep_given = 50 | |
|
|
820 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
821 | ax.grid(which='minor') | |
|
|
822 | ||
|
|
823 | ||
|
|
824 | ||
|
|
825 | else: | |
|
|
826 | self.clear_figures() | |
|
|
827 | ||
|
|
828 | for i in range(self.data.NSHTS): | |
|
|
829 | x_aux = numpy.isfinite(self.x[i,:]) | |
|
|
830 | y_aux = numpy.isfinite(self.y[i,:]) | |
|
|
831 | yerr_aux = numpy.isfinite(self.data.acfs_error_to_plot[i,:]) | |
|
|
832 | x_igcej_aux = numpy.isfinite(self.data.x_igcej_to_plot[i,:]) | |
|
|
833 | y_igcej_aux = numpy.isfinite(self.data.y_igcej_to_plot[i,:]) | |
|
|
834 | x_ibad_aux = numpy.isfinite(self.data.x_ibad_to_plot[i,:]) | |
|
|
835 | y_ibad_aux = numpy.isfinite(self.data.y_ibad_to_plot[i,:]) | |
|
|
836 | if self.x[i,:][~numpy.isnan(self.x[i,:])].shape[0]>2: | |
|
|
837 | ax.errorbar(self.x[i,x_aux], self.y[i,y_aux], yerr=self.data.acfs_error_to_plot[i,x_aux],linewidth=1.0,markersize=2,color='b',marker='o') | |
|
|
838 | ax.plot(self.data.x_igcej_to_plot[i,x_igcej_aux],self.data.y_igcej_to_plot[i,y_igcej_aux],'x',color='red',markersize=2) | |
|
|
839 | ax.plot(self.data.x_ibad_to_plot[i,x_ibad_aux],self.data.y_ibad_to_plot[i,y_ibad_aux],'X',color='red',markersize=2) | |
|
|
840 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
841 | ||
|
|
842 | ||
|
|
843 | ||
|
|
844 | ||
|
|
845 | class ACFsLPPlot(Plot): | |
|
|
846 | ''' | |
|
|
847 | Plot for ACFs Double Pulse Experiment | |
|
|
848 | ''' | |
|
|
849 | ||
|
|
850 | CODE = 'acfs_LP' | |
|
|
851 | plot_name = 'ACF' | |
|
|
852 | plot_type = 'scatterbuffer' | |
|
|
853 | ||
|
|
854 | ||
|
|
855 | def setup(self): | |
|
|
856 | #self.xaxis = 'time' | |
|
|
857 | self.ncols = 1 | |
|
|
858 | self.nrows = 1 | |
|
|
859 | self.nplots = 1 | |
|
|
860 | self.ylabel = 'Range [km]' | |
|
|
861 | self.xlabel = 'lags (ms)' | |
|
|
862 | self.width = 3.5 | |
|
|
863 | self.height = 7 | |
|
|
864 | self.colorbar = False | |
|
|
865 | if not self.titles: | |
|
|
866 | self.titles = self.data.parameters \ | |
|
|
867 | if self.data.parameters else ['{}'.format(self.CODE.upper())] | |
|
|
868 | ||
|
|
869 | ||
|
|
870 | ||
|
|
871 | def plot(self): | |
|
|
872 | ||
|
|
873 | self.x = self.data.lags_LP_to_plot | |
|
|
874 | self.y = self.data['acfs_LP'][:,-1] | |
|
|
875 | ||
|
|
876 | self.xmin = 0.0 | |
|
|
877 | self.xmax = 1.5 | |
|
|
878 | ||
|
|
879 | ax = self.axes[0] | |
|
|
880 | ||
|
|
881 | if ax.firsttime: | |
|
|
882 | ||
|
|
883 | for i in range(self.data.NACF): | |
|
|
884 | x_aux = numpy.isfinite(self.x[i,:]) | |
|
|
885 | y_aux = numpy.isfinite(self.y[i,:]) | |
|
|
886 | yerr_aux = numpy.isfinite(self.data.errors[i,:]) | |
|
|
887 | ||
|
|
888 | if self.x[i,:][~numpy.isnan(self.x[i,:])].shape[0]>2: | |
|
|
889 | ax.errorbar(self.x[i,x_aux], self.y[i,y_aux], yerr=self.data.errors[i,x_aux],color='b',linewidth=1.0,markersize=2,ecolor='r') | |
|
|
890 | ||
|
|
891 | #self.xstep_given = (self.xmax-self.xmin)/(self.data.NLAG-1) | |
|
|
892 | self.xstep_given=0.3 | |
|
|
893 | self.ystep_given = 200 | |
|
|
894 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
895 | ax.grid(which='minor') | |
|
|
896 | ||
|
|
897 | else: | |
|
|
898 | self.clear_figures() | |
|
|
899 | ||
|
|
900 | for i in range(self.data.NACF): | |
|
|
901 | x_aux = numpy.isfinite(self.x[i,:]) | |
|
|
902 | y_aux = numpy.isfinite(self.y[i,:]) | |
|
|
903 | yerr_aux = numpy.isfinite(self.data.errors[i,:]) | |
|
|
904 | ||
|
|
905 | if self.x[i,:][~numpy.isnan(self.x[i,:])].shape[0]>2: | |
|
|
906 | ax.errorbar(self.x[i,x_aux], self.y[i,y_aux], yerr=self.data.errors[i,x_aux],color='b',linewidth=1.0,markersize=2,ecolor='r') | |
|
|
907 | ||
|
|
908 | ax.yaxis.set_minor_locator(MultipleLocator(15)) | |
|
|
909 | ||
|
|
910 | ||
|
|
911 | class CrossProductsPlot(Plot): | |
|
|
912 | ''' | |
|
|
913 | Plot for cross products | |
|
|
914 | ''' | |
|
|
915 | ||
|
|
916 | CODE = 'crossprod' | |
|
|
917 | plot_name = 'Cross Products' | |
|
|
918 | plot_type = 'scatterbuffer' | |
|
|
919 | ||
|
|
920 | ||
|
|
921 | def setup(self): | |
|
|
922 | ||
|
|
923 | self.ncols = 3 | |
|
|
924 | self.nrows = 1 | |
|
|
925 | self.nplots = 3 | |
|
|
926 | self.ylabel = 'Range [km]' | |
|
|
927 | ||
|
|
928 | self.width = 3.5*self.nplots | |
|
|
929 | self.height = 5.5 | |
|
|
930 | self.colorbar = False | |
|
|
931 | self.titles = [] | |
|
|
932 | ||
|
|
933 | def plot(self): | |
|
|
934 | ||
|
|
935 | self.x = self.data['crossprod'][:,-1,:,:,:,:] | |
|
|
936 | ||
|
|
937 | ||
|
|
938 | ||
|
|
939 | ||
|
|
940 | self.y = self.data.heights[0:self.data.NDP] | |
|
|
941 | ||
|
|
942 | ||
|
|
943 | ||
|
|
944 | for n, ax in enumerate(self.axes): | |
|
|
945 | ||
|
|
946 | self.xmin=numpy.min(numpy.concatenate((self.x[n][0,20:30,0,0],self.x[n][1,20:30,0,0],self.x[n][2,20:30,0,0],self.x[n][3,20:30,0,0]))) | |
|
|
947 | self.xmax=numpy.max(numpy.concatenate((self.x[n][0,20:30,0,0],self.x[n][1,20:30,0,0],self.x[n][2,20:30,0,0],self.x[n][3,20:30,0,0]))) | |
|
|
948 | ||
|
|
949 | ||
|
|
950 | if ax.firsttime: | |
|
|
951 | ||
|
|
952 | self.autoxticks=False | |
|
|
953 | if n==0: | |
|
|
954 | label1='kax' | |
|
|
955 | label2='kay' | |
|
|
956 | label3='kbx' | |
|
|
957 | label4='kby' | |
|
|
958 | self.xlimits=[(self.xmin,self.xmax)] | |
|
|
959 | elif n==1: | |
|
|
960 | label1='kax2' | |
|
|
961 | label2='kay2' | |
|
|
962 | label3='kbx2' | |
|
|
963 | label4='kby2' | |
|
|
964 | self.xlimits.append((self.xmin,self.xmax)) | |
|
|
965 | elif n==2: | |
|
|
966 | label1='kaxay' | |
|
|
967 | label2='kbxby' | |
|
|
968 | label3='kaxbx' | |
|
|
969 | label4='kaxby' | |
|
|
970 | self.xlimits.append((self.xmin,self.xmax)) | |
|
|
971 | ||
|
|
972 | ||
|
|
973 | ax.plotline1 = ax.plot(self.x[n][0,:,0,0], self.y, color='r',linewidth=2.0, label=label1) | |
|
|
974 | ax.plotline2 = ax.plot(self.x[n][1,:,0,0], self.y, color='k',linewidth=2.0, label=label2) | |
|
|
975 | ax.plotline3 = ax.plot(self.x[n][2,:,0,0], self.y, color='b',linewidth=2.0, label=label3) | |
|
|
976 | ax.plotline4 = ax.plot(self.x[n][3,:,0,0], self.y, color='m',linewidth=2.0, label=label4) | |
|
|
977 | ax.legend(loc='upper right') | |
|
|
978 | ax.set_xlim(self.xmin, self.xmax) | |
|
|
979 | self.titles.append('{}'.format(self.plot_name.upper())) | |
|
|
980 | #plt.tight_layout() | |
|
|
981 | ||
|
|
982 | ||
|
|
983 | else: | |
|
|
984 | ||
|
|
985 | if n==0: | |
|
|
986 | self.xlimits=[(self.xmin,self.xmax)] | |
|
|
987 | else: | |
|
|
988 | self.xlimits.append((self.xmin,self.xmax)) | |
|
|
989 | ||
|
|
990 | ax.set_xlim(self.xmin, self.xmax) | |
|
|
991 | ||
|
|
992 | ||
|
|
993 | ax.plotline1[0].set_data(self.x[n][0,:,0,0],self.y) | |
|
|
994 | ax.plotline2[0].set_data(self.x[n][1,:,0,0],self.y) | |
|
|
995 | ax.plotline3[0].set_data(self.x[n][2,:,0,0],self.y) | |
|
|
996 | ax.plotline4[0].set_data(self.x[n][3,:,0,0],self.y) | |
|
|
997 | self.titles.append('{}'.format(self.plot_name.upper())) | |
|
|
998 | #plt.tight_layout() | |
|
|
999 | ||
|
|
1000 | ||
|
|
1001 | ||
|
|
1002 | class CrossProductsLPPlot(Plot): | |
|
|
1003 | ''' | |
|
|
1004 | Plot for cross products LP | |
|
|
1005 | ''' | |
|
|
1006 | ||
|
|
1007 | CODE = 'crossprodlp' | |
|
|
1008 | plot_name = 'Cross Products LP' | |
|
|
1009 | plot_type = 'scatterbuffer' | |
|
|
1010 | ||
|
|
1011 | ||
|
|
1012 | def setup(self): | |
|
|
1013 | ||
|
|
1014 | self.ncols = 2 | |
|
|
1015 | self.nrows = 1 | |
|
|
1016 | self.nplots = 2 | |
|
|
1017 | self.ylabel = 'Range [km]' | |
|
|
1018 | self.xlabel = 'dB' | |
|
|
1019 | self.width = 3.5*self.nplots | |
|
|
1020 | self.height = 5.5 | |
|
|
1021 | self.colorbar = False | |
|
|
1022 | self.titles = [] | |
|
|
1023 | self.plotline_array=numpy.zeros((2,self.data.NLAG),dtype=object) | |
|
|
1024 | def plot(self): | |
|
|
1025 | ||
|
|
1026 | ||
|
|
1027 | self.x = self.data[self.CODE][:,-1,:,:] | |
|
|
1028 | ||
|
|
1029 | ||
|
|
1030 | self.y = self.data.heights[0:self.data.NRANGE] | |
|
|
1031 | ||
|
|
1032 | ||
|
|
1033 | label_array=numpy.array(['lag '+ str(x) for x in range(self.data.NLAG)]) | |
|
|
1034 | color_array=['r','k','g','b','c','m','y','orange','steelblue','purple','peru','darksalmon','grey','limegreen','olive','midnightblue'] | |
|
|
1035 | ||
|
|
1036 | ||
|
|
1037 | for n, ax in enumerate(self.axes): | |
|
|
1038 | ||
|
|
1039 | self.xmin=30 | |
|
|
1040 | self.xmax=70 | |
|
|
1041 | #print(self.x[0,12:15,n]) | |
|
|
1042 | #input() | |
|
|
1043 | #self.xmin=numpy.min(numpy.concatenate((self.x[0,:,n],self.x[1,:,n]))) | |
|
|
1044 | #self.xmax=numpy.max(numpy.concatenate((self.x[0,:,n],self.x[1,:,n]))) | |
|
|
1045 | ||
|
|
1046 | #print("before",self.plotline_array) | |
|
|
1047 | ||
|
|
1048 | if ax.firsttime: | |
|
|
1049 | ||
|
|
1050 | self.autoxticks=False | |
|
|
1051 | ||
|
|
1052 | ||
|
|
1053 | for i in range(self.data.NLAG): | |
|
|
1054 | #print(i) | |
|
|
1055 | #print(numpy.shape(self.x)) | |
|
|
1056 | self.plotline_array[n,i], = ax.plot(self.x[i,:,n], self.y, color=color_array[i],linewidth=1.0, label=label_array[i]) | |
|
|
1057 | #ax.plotline1 = ax.plot(self.x[0,:,n], self.y, color='r',linewidth=2.0, label=label_array[0]) | |
|
|
1058 | #ax.plotline2 = ax.plot(self.x[n][1,:,0,0], self.y, color='k',linewidth=2.0, label=label2) | |
|
|
1059 | #ax.plotline3 = ax.plot(self.x[n][2,:,0,0], self.y, color='b',linewidth=2.0, label=label3) | |
|
|
1060 | #ax.plotline4 = ax.plot(self.x[n][3,:,0,0], self.y, color='m',linewidth=2.0, label=label4) | |
|
|
1061 | ||
|
|
1062 | ||
|
|
1063 | #print(self.plotline_array) | |
|
|
1064 | ||
|
|
1065 | ||
|
|
1066 | ||
|
|
1067 | ax.legend(loc='upper right') | |
|
|
1068 | ax.set_xlim(self.xmin, self.xmax) | |
|
|
1069 | if n==0: | |
|
|
1070 | self.titles.append('{} CH0'.format(self.plot_name.upper())) | |
|
|
1071 | if n==1: | |
|
|
1072 | self.titles.append('{} CH1'.format(self.plot_name.upper())) | |
|
|
1073 | ||
|
|
1074 | #plt.tight_layout() | |
|
|
1075 | ||
|
|
1076 | else: | |
|
|
1077 | #print(self.plotline_array) | |
|
|
1078 | for i in range(self.data.NLAG): | |
|
|
1079 | ||
|
|
1080 | self.plotline_array[n,i].set_data(self.x[i,:,n],self.y) | |
|
|
1081 | ||
|
|
1082 | ||
|
|
1083 | ||
|
|
1084 | #ax.plotline1[0].set_data(self.x[n][0,:,0,0],self.y) | |
|
|
1085 | #ax.plotline2[0].set_data(self.x[n][1,:,0,0],self.y) | |
|
|
1086 | #ax.plotline3[0].set_data(self.x[n][2,:,0,0],self.y) | |
|
|
1087 | #ax.plotline4[0].set_data(self.x[n][3,:,0,0],self.y) | |
|
|
1088 | ||
|
|
1089 | if n==0: | |
|
|
1090 | self.titles.append('{} CH0'.format(self.plot_name.upper())) | |
|
|
1091 | if n==1: | |
|
|
1092 | self.titles.append('{} CH1'.format(self.plot_name.upper())) | |
|
|
1093 | ||
|
|
1094 | #plt.tight_layout() | |
|
|
1095 | ||
|
|
1096 | ||
|
|
1097 | class NoiseDPPlot(NoisePlot): | |
|
|
1098 | ''' | |
|
|
1099 | Plot for noise Double Pulse | |
|
|
1100 | ''' | |
|
|
1101 | ||
|
|
1102 | CODE = 'noisedp' | |
|
|
1103 | plot_name = 'Noise' | |
|
|
1104 | plot_type = 'scatterbuffer' | |
|
|
1105 | ||
|
|
1106 | ||
|
|
1107 | class XmitWaveformPlot(Plot): | |
|
|
1108 | ''' | |
|
|
1109 | Plot for xmit waveform | |
|
|
1110 | ''' | |
|
|
1111 | ||
|
|
1112 | CODE = 'xmit' | |
|
|
1113 | plot_name = 'Xmit Waveform' | |
|
|
1114 | plot_type = 'scatterbuffer' | |
|
|
1115 | ||
|
|
1116 | ||
|
|
1117 | def setup(self): | |
|
|
1118 | ||
|
|
1119 | self.ncols = 1 | |
|
|
1120 | self.nrows = 1 | |
|
|
1121 | self.nplots = 1 | |
|
|
1122 | self.ylabel = '' | |
|
|
1123 | self.xlabel = 'Number of Lag' | |
|
|
1124 | self.width = 5.5 | |
|
|
1125 | self.height = 3.5 | |
|
|
1126 | self.colorbar = False | |
|
|
1127 | if not self.titles: | |
|
|
1128 | self.titles = self.data.parameters \ | |
|
|
1129 | if self.data.parameters else ['{}'.format(self.plot_name.upper())] | |
|
|
1130 | ||
|
|
1131 | def plot(self): | |
|
|
1132 | ||
|
|
1133 | self.x = numpy.arange(0,self.data.NLAG,1,'float32') | |
|
|
1134 | self.y = self.data['xmit'][:,-1,:] | |
|
|
1135 | ||
|
|
1136 | self.xmin = 0 | |
|
|
1137 | self.xmax = self.data.NLAG-1 | |
|
|
1138 | self.ymin = -1.0 | |
|
|
1139 | self.ymax = 1.0 | |
|
|
1140 | ax = self.axes[0] | |
|
|
1141 | ||
|
|
1142 | if ax.firsttime: | |
|
|
1143 | ax.plotline0=ax.plot(self.x,self.y[0,:],color='blue') | |
|
|
1144 | ax.plotline1=ax.plot(self.x,self.y[1,:],color='red') | |
|
|
1145 | secax=ax.secondary_xaxis(location=0.5) | |
|
|
1146 | secax.xaxis.tick_bottom() | |
|
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1147 | secax.tick_params( labelleft=False, labeltop=False, | |
|
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1148 | labelright=False, labelbottom=False) | |
|
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1149 | ||
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1150 | self.xstep_given = 3 | |
|
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1151 | self.ystep_given = .25 | |
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1152 | secax.set_xticks(numpy.linspace(self.xmin, self.xmax, 6)) #only works on matplotlib.version>3.2 | |
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1153 | ||
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1154 | else: | |
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1155 | ax.plotline0[0].set_data(self.x,self.y[0,:]) | |
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1156 | ax.plotline1[0].set_data(self.x,self.y[1,:]) | |
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1 | ''' | |
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2 | Created on Jun 9, 2020 | |
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3 | ||
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4 | @author: Roberto Flores | |
|
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5 | ''' | |
|
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6 | ||
|
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7 | import os | |
|
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8 | import sys | |
|
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9 | import time | |
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10 | ||
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11 | import struct | |
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12 | ||
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13 | ||
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14 | import datetime | |
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15 | ||
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16 | import numpy | |
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17 | ||
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18 | ||
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19 | import schainpy.admin | |
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20 | from schainpy.model.io.jroIO_base import LOCALTIME, Reader | |
|
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21 | from schainpy.model.data.jroheaderIO import BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader | |
|
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22 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator | |
|
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23 | from schainpy.model.data.jrodata import Voltage, Parameters | |
|
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24 | from schainpy.utils import log | |
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25 | ||
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26 | ||
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27 | class DatReader(Reader, ProcessingUnit): | |
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28 | ||
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29 | def __init__(self): | |
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30 | ||
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31 | ProcessingUnit.__init__(self) | |
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32 | self.basicHeaderObj = BasicHeader(LOCALTIME) | |
|
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33 | self.systemHeaderObj = SystemHeader() | |
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34 | self.radarControllerHeaderObj = RadarControllerHeader() | |
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35 | self.processingHeaderObj = ProcessingHeader() | |
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36 | self.dataOut = Parameters() | |
|
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37 | #print(self.basicHeaderObj.timezone) | |
|
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38 | #self.counter_block=0 | |
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39 | self.format='dat' | |
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40 | self.flagNoMoreFiles = 0 | |
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41 | self.filename = None | |
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42 | self.intervals = set() | |
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43 | #self.datatime = datetime.datetime(1900,1,1) | |
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44 | ||
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45 | self.filefmt = "***%Y%m%d*******" | |
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46 | ||
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47 | self.padding=numpy.zeros(1,'int32') | |
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48 | self.hsize=numpy.zeros(1,'int32') | |
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49 | self.bufsize=numpy.zeros(1,'int32') | |
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50 | self.nr=numpy.zeros(1,'int32') | |
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51 | self.ngates=numpy.zeros(1,'int32') ### ### ### 2 | |
|
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52 | self.time1=numpy.zeros(1,'uint64') # pos 3 | |
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53 | self.time2=numpy.zeros(1,'uint64') # pos 4 | |
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54 | self.lcounter=numpy.zeros(1,'int32') | |
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55 | self.groups=numpy.zeros(1,'int32') | |
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56 | self.system=numpy.zeros(4,'int8') # pos 7 | |
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57 | self.h0=numpy.zeros(1,'float32') | |
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58 | self.dh=numpy.zeros(1,'float32') | |
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59 | self.ipp=numpy.zeros(1,'float32') | |
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60 | self.process=numpy.zeros(1,'int32') | |
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61 | self.tx=numpy.zeros(1,'int32') | |
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62 | ||
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63 | self.ngates1=numpy.zeros(1,'int32') ### ### ### 13 | |
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64 | self.time0=numpy.zeros(1,'uint64') # pos 14 | |
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65 | self.nlags=numpy.zeros(1,'int32') | |
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66 | self.nlags1=numpy.zeros(1,'int32') | |
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67 | self.txb=numpy.zeros(1,'float32') ### ### ### 17 | |
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68 | self.time3=numpy.zeros(1,'uint64') # pos 18 | |
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69 | self.time4=numpy.zeros(1,'uint64') # pos 19 | |
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70 | self.h0_=numpy.zeros(1,'float32') | |
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71 | self.dh_=numpy.zeros(1,'float32') | |
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72 | self.ipp_=numpy.zeros(1,'float32') | |
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73 | self.txa_=numpy.zeros(1,'float32') | |
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74 | ||
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75 | self.pad=numpy.zeros(100,'int32') | |
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76 | ||
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77 | self.nbytes=numpy.zeros(1,'int32') | |
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78 | self.limits=numpy.zeros(1,'int32') | |
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79 | self.ngroups=numpy.zeros(1,'int32') ### ### ### 27 | |
|
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80 | #Make the header list | |
|
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81 | #header=[hsize,bufsize,nr,ngates,time1,time2,lcounter,groups,system,h0,dh,ipp,process,tx,padding,ngates1,time0,nlags,nlags1,padding,txb,time3,time4,h0_,dh_,ipp_,txa_,pad,nbytes,limits,padding,ngroups] | |
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82 | self.header=[self.hsize,self.bufsize,self.nr,self.ngates,self.time1,self.time2,self.lcounter,self.groups,self.system,self.h0,self.dh,self.ipp,self.process,self.tx,self.ngates1,self.padding,self.time0,self.nlags,self.nlags1,self.padding,self.txb,self.time3,self.time4,self.h0_,self.dh_,self.ipp_,self.txa_,self.pad,self.nbytes,self.limits,self.padding,self.ngroups] | |
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83 | ||
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84 | ||
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85 | ||
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86 | def setup(self, **kwargs): | |
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87 | ||
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88 | self.set_kwargs(**kwargs) | |
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89 | ||
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90 | ||
|
|
91 | if self.path is None: | |
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92 | raise ValueError('The path is not valid') | |
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93 | ||
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94 | self.open_file = open | |
|
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95 | self.open_mode = 'rb' | |
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96 | ||
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97 | ||
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98 | ||
|
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99 | if self.format is None: | |
|
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100 | raise ValueError('The format is not valid') | |
|
|
101 | elif self.format.lower() in ('dat'): | |
|
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102 | self.ext = '.dat' | |
|
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103 | elif self.format.lower() in ('out'): | |
|
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104 | self.ext = '.out' | |
|
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105 | ||
|
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106 | ||
|
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107 | log.log("Searching files in {}".format(self.path), self.name) | |
|
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108 | self.filenameList = self.searchFilesOffLine(self.path, self.startDate, | |
|
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109 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt) | |
|
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110 | #print(self.path) | |
|
|
111 | #print(self.filenameList) | |
|
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112 | #input() | |
|
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113 | ||
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114 | ||
|
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115 | self.setNextFile() | |
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116 | ||
|
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117 | def readFirstHeader(self): | |
|
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118 | '''Read header and data''' | |
|
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119 | ||
|
|
120 | #self.flag_same_file=1 | |
|
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121 | self.counter_block=0 | |
|
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122 | self.parseHeader() | |
|
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123 | self.parseData() | |
|
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124 | self.blockIndex = 0 | |
|
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125 | ||
|
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126 | return | |
|
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127 | ||
|
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128 | def parseHeader(self): | |
|
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129 | ''' | |
|
|
130 | ''' | |
|
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131 | ||
|
|
132 | for i in range(len(self.header)): | |
|
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133 | for j in range(len(self.header[i])): | |
|
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134 | #print("len(header[i]) ",len(header[i])) | |
|
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135 | #input() | |
|
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136 | temp=self.fp.read(int(self.header[i].itemsize)) | |
|
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137 | if isinstance(self.header[i][0], numpy.int32): | |
|
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138 | #print(struct.unpack('i', temp)[0]) | |
|
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139 | self.header[i][0]=struct.unpack('i', temp)[0] | |
|
|
140 | if isinstance(self.header[i][0], numpy.uint64): | |
|
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141 | self.header[i][0]=struct.unpack('q', temp)[0] | |
|
|
142 | if isinstance(self.header[i][0], numpy.int8): | |
|
|
143 | self.header[i][0]=struct.unpack('B', temp)[0] | |
|
|
144 | if isinstance(self.header[i][0], numpy.float32): | |
|
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145 | self.header[i][0]=struct.unpack('f', temp)[0] | |
|
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146 | ||
|
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147 | self.fp.seek(0,0) | |
|
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148 | if int(self.header[1][0])==int(81864): | |
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149 | self.experiment='DP' | |
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150 | ||
|
|
151 | elif int(self.header[1][0])==int(185504): | |
|
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152 | self.experiment='HP' | |
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153 | ||
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154 | ||
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155 | self.total_blocks=os.stat(self.filename).st_size//self.header[1][0] | |
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156 | ||
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157 | ||
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158 | def parseData(self): | |
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159 | ''' | |
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160 | ''' | |
|
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161 | if self.experiment=='DP': | |
|
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162 | self.header[15][0]=66 | |
|
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163 | self.header[18][0]=16 | |
|
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164 | self.header[17][0]=11 | |
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165 | self.header[2][0]=2 | |
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166 | ||
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167 | ||
|
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168 | self.noise=numpy.zeros(self.header[2][0],'float32') #self.header[2][0] | |
|
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169 | #tmpx=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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170 | self.kax=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
|
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171 | self.kay=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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172 | self.kbx=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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173 | self.kby=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
|
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174 | self.kax2=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
|
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175 | self.kay2=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
|
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176 | self.kbx2=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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177 | self.kby2=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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178 | self.kaxbx=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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179 | self.kaxby=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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180 | self.kaybx=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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181 | self.kayby=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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182 | self.kaxay=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
|
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183 | self.kbxby=numpy.zeros((self.header[15][0],self.header[17][0],2),'float32') | |
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184 | self.output_LP_real=numpy.zeros((self.header[18][0],200,self.header[2][0]),'float32') | |
|
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185 | self.output_LP_imag=numpy.zeros((self.header[18][0],200,self.header[2][0]),'float32') | |
|
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186 | self.final_cross_products=[self.kax,self.kay,self.kbx,self.kby,self.kax2,self.kay2,self.kbx2,self.kby2,self.kaxbx,self.kaxby,self.kaybx,self.kayby,self.kaxay,self.kbxby] | |
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187 | #self.final_cross_products=[tmpx,tmpx,tmpx,tmpx,tmpx,tmpx,tmpx,tmpx,tmpx,tmpx,tmpx,tmpx,tmpx,tmpx] | |
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188 | ||
|
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189 | #print("pos: ",self.fp.tell()) | |
|
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190 | ||
|
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191 | ||
|
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192 | def readNextBlock(self): | |
|
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193 | ||
|
|
194 | while True: | |
|
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195 | self.flagDiscontinuousBlock = 0 | |
|
|
196 | #print(os.stat(self.filename).st_size) | |
|
|
197 | #print(os.stat(self.filename).st_size//self.header[1][0]) | |
|
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198 | #os.stat(self.fp) | |
|
|
199 | if self.counter_block == self.total_blocks: | |
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200 | ||
|
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201 | self.setNextFile() | |
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202 | ||
|
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203 | self.readBlock() | |
|
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204 | #self.counter_block+=1 | |
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205 | ||
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206 | if (self.datatime < datetime.datetime.combine(self.startDate, self.startTime)) or \ | |
|
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207 | (self.datatime > datetime.datetime.combine(self.endDate, self.endTime)): | |
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208 | ||
|
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209 | #print(self.datatime) | |
|
|
210 | #print(datetime.datetime.combine(self.startDate, self.startTime)) | |
|
|
211 | #print(datetime.datetime.combine(self.endDate, self.endTime)) | |
|
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212 | #print("warning") | |
|
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213 | log.warning( | |
|
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214 | 'Reading Block No. {}/{} -> {} [Skipping]'.format( | |
|
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215 | self.counter_block, | |
|
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216 | self.total_blocks, | |
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217 | self.datatime.ctime()), | |
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218 | 'DATReader') | |
|
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219 | continue | |
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220 | break | |
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221 | ||
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222 | log.log( | |
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223 | 'Reading Block No. {}/{} -> {}'.format( | |
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224 | self.counter_block, | |
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225 | self.total_blocks, | |
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226 | self.datatime.ctime()), | |
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227 | 'DATReader') | |
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228 | ||
|
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229 | return 1 | |
|
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230 | ||
|
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231 | def readBlock(self): | |
|
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232 | ''' | |
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233 | ''' | |
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234 | ||
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235 | self.npos=self.counter_block*self.header[1][0] | |
|
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236 | #print(self.counter_block) | |
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237 | self.fp.seek(self.npos, 0) | |
|
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238 | self.counter_block+=1 | |
|
|
239 | #print("fpos1: ",self.fp.tell()) | |
|
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240 | ||
|
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241 | self.read_header() | |
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242 | ||
|
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243 | #put by hand because old files didn't save it in the header | |
|
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244 | if self.experiment=='DP': | |
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245 | self.header[15][0]=66 | |
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246 | self.header[18][0]=16 | |
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247 | self.header[17][0]=11 | |
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248 | self.header[2][0]=2 | |
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249 | ######################################### | |
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250 | ||
|
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251 | if self.experiment=="HP": | |
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252 | self.long_pulse_products() | |
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253 | ||
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254 | self.read_cross_products() | |
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255 | ||
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256 | ||
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257 | self.read_noise() | |
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258 | ||
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259 | ||
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260 | return | |
|
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261 | ||
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262 | ||
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263 | ||
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264 | def read_header(self): | |
|
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265 | ||
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266 | ||
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267 | for i in range(len(self.header)): | |
|
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268 | for j in range(len(self.header[i])): | |
|
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269 | #print("len(header[i]) ",len(header[i])) | |
|
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270 | #input() | |
|
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271 | temp=self.fp.read(int(self.header[i].itemsize)) | |
|
|
272 | #if(b''==temp): | |
|
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273 | # self.setNextFile() | |
|
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274 | # self.flag_same_file=0 | |
|
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275 | if isinstance(self.header[i][0], numpy.int32): | |
|
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276 | #print(struct.unpack('i', temp)[0]) | |
|
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277 | self.header[i][0]=struct.unpack('i', temp)[0] | |
|
|
278 | if isinstance(self.header[i][0], numpy.uint64): | |
|
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279 | self.header[i][0]=struct.unpack('q', temp)[0] | |
|
|
280 | if isinstance(self.header[i][0], numpy.int8): | |
|
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281 | self.header[i][0]=struct.unpack('B', temp)[0] | |
|
|
282 | if isinstance(self.header[i][0], numpy.float32): | |
|
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283 | self.header[i][0]=struct.unpack('f', temp)[0] | |
|
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284 | #else: | |
|
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285 | # continue | |
|
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286 | #self.fp.seek(self.npos_aux, 0) | |
|
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287 | # break | |
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288 | ||
|
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289 | #print("fpos2: ",self.fp.tell()) | |
|
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290 | #log.success('Parameters found: {}'.format(self.parameters), | |
|
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291 | # 'DATReader') | |
|
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292 | #print("Success") | |
|
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293 | #self.TimeBlockSeconds_for_dp_power = self.header[4][0]#-((self.dataOut.nint-1)*self.dataOut.NAVG*2) | |
|
|
294 | #print(dataOut.TimeBlockSeconds_for_dp_power) | |
|
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295 | ||
|
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296 | #self.datatime=datetime.datetime.fromtimestamp(self.header[4][0]).strftime("%Y-%m-%d %H:%M:%S") | |
|
|
297 | #print(self.header[4][0]) | |
|
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298 | self.datatime=datetime.datetime.fromtimestamp(self.header[4][0]) | |
|
|
299 | #print(self.header[1][0]) | |
|
|
300 | ||
|
|
301 | def long_pulse_products(self): | |
|
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302 | temp=self.fp.read(self.header[18][0]*self.header[2][0]*200*8) | |
|
|
303 | ii=0 | |
|
|
304 | ||
|
|
305 | for l in range(self.header[18][0]): #lag | |
|
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306 | for r in range(self.header[2][0]): # channels | |
|
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307 | for k in range(200): #RANGE## generalizar | |
|
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308 | self.output_LP_real[l,k,r]=struct.unpack('f', temp[ii:ii+4])[0] | |
|
|
309 | ii=ii+4 | |
|
|
310 | self.output_LP_imag[l,k,r]=struct.unpack('f', temp[ii:ii+4])[0] | |
|
|
311 | ii=ii+4 | |
|
|
312 | ||
|
|
313 | #print(self.output_LP_real[1,1,1]) | |
|
|
314 | #print(self.output_LP_imag[1,1,1]) | |
|
|
315 | def read_cross_products(self): | |
|
|
316 | ||
|
|
317 | for ind in range(len(self.final_cross_products)): #final cross products | |
|
|
318 | temp=self.fp.read(self.header[17][0]*2*self.header[15][0]*4) #*4 bytes | |
|
|
319 | #if(b''==temp): | |
|
|
320 | # self.setNextFile() | |
|
|
321 | # self.flag_same_file=0 | |
|
|
322 | ii=0 | |
|
|
323 | #print("kabxys.shape ",kabxys.shape) | |
|
|
324 | #print(kabxys) | |
|
|
325 | #print("fpos3: ",self.fp.tell()) | |
|
|
326 | for l in range(self.header[17][0]): #lag | |
|
|
327 | #print("fpos3: ",self.fp.tell()) | |
|
|
328 | for fl in range(2): # unflip and flip | |
|
|
329 | for k in range(self.header[15][0]): #RANGE | |
|
|
330 | #print("fpos3: ",self.fp.tell()) | |
|
|
331 | self.final_cross_products[ind][k,l,fl]=struct.unpack('f', temp[ii:ii+4])[0] | |
|
|
332 | ii=ii+4 | |
|
|
333 | #print("fpos2: ",self.fp.tell()) | |
|
|
334 | ||
|
|
335 | ||
|
|
336 | ||
|
|
337 | def read_noise(self): | |
|
|
338 | ||
|
|
339 | temp=self.fp.read(self.header[2][0]*4) #*4 bytes self.header[2][0] | |
|
|
340 | for ii in range(self.header[2][0]): #self.header[2][0] | |
|
|
341 | self.noise[ii]=struct.unpack('f', temp[ii*4:(ii+1)*4])[0] | |
|
|
342 | ||
|
|
343 | #print("fpos5: ",self.fp.tell()) | |
|
|
344 | ||
|
|
345 | ||
|
|
346 | ||
|
|
347 | def set_output(self): | |
|
|
348 | ''' | |
|
|
349 | Storing data from buffer to dataOut object | |
|
|
350 | ''' | |
|
|
351 | #print("fpos2: ",self.fp.tell()) | |
|
|
352 | ##self.dataOut.header = self.header | |
|
|
353 | #this is put by hand because it isn't saved in the header | |
|
|
354 | if self.experiment=='DP': | |
|
|
355 | self.dataOut.NRANGE=0 | |
|
|
356 | self.dataOut.NSCAN=132 | |
|
|
357 | self.dataOut.heightList=self.header[10][0]*(numpy.arange(self.header[15][0])) | |
|
|
358 | elif self.experiment=='HP': | |
|
|
359 | self.dataOut.output_LP=self.output_LP_real+1.j*self.output_LP_imag | |
|
|
360 | self.dataOut.NRANGE=200 | |
|
|
361 | self.dataOut.NSCAN=128 | |
|
|
362 | self.dataOut.heightList=self.header[10][0]*(numpy.arange(90)) #NEEEDS TO BE GENERALIZED | |
|
|
363 | ######################################### | |
|
|
364 | #print(self.dataOut.output_LP[1,1,1]) | |
|
|
365 | self.dataOut.MAXNRANGENDT=self.header[3][0] | |
|
|
366 | self.dataOut.NDP=self.header[15][0] | |
|
|
367 | self.dataOut.DPL=self.header[17][0] | |
|
|
368 | self.dataOut.DH=self.header[10][0] | |
|
|
369 | self.dataOut.NAVG=self.header[7][0] | |
|
|
370 | self.dataOut.H0=self.header[9][0] | |
|
|
371 | self.dataOut.NR=self.header[2][0] | |
|
|
372 | self.dataOut.NLAG=self.header[18][0] | |
|
|
373 | #self.dataOut.tmpx=self.tmpx | |
|
|
374 | #self.dataOut.timeZone = 5 | |
|
|
375 | #self.dataOut.final_cross_products=self.final_cross_products | |
|
|
376 | self.dataOut.kax=self.kax | |
|
|
377 | #print(self.dataOut.kax[1,1,1]) | |
|
|
378 | self.dataOut.kay=self.kay | |
|
|
379 | self.dataOut.kbx=self.kbx | |
|
|
380 | self.dataOut.kby=self.kby | |
|
|
381 | self.dataOut.kax2=self.kax2 | |
|
|
382 | self.dataOut.kay2=self.kay2 | |
|
|
383 | self.dataOut.kbx2=self.kbx2 | |
|
|
384 | self.dataOut.kby2=self.kby2 | |
|
|
385 | self.dataOut.kaxbx=self.kaxbx | |
|
|
386 | self.dataOut.kaxby=self.kaxby | |
|
|
387 | self.dataOut.kaybx=self.kaybx | |
|
|
388 | self.dataOut.kayby=self.kayby | |
|
|
389 | self.dataOut.kaxay=self.kaxay | |
|
|
390 | self.dataOut.kbxby=self.kbxby | |
|
|
391 | self.dataOut.noise_final=self.noise | |
|
|
392 | #print("NOISE",self.noise) | |
|
|
393 | ||
|
|
394 | ||
|
|
395 | self.dataOut.useLocalTime=True | |
|
|
396 | ||
|
|
397 | #self.dataOut.experiment=self.experiment | |
|
|
398 | #print(self.datatime) | |
|
|
399 | #print(self.dataOut.datatime) | |
|
|
400 | ||
|
|
401 | ||
|
|
402 | #self.dataOut.utctime = (self.datatime - datetime.datetime(1970, 1, 1)).total_seconds() | |
|
|
403 | #self.dataOut.utctimeInit = self.dataOut.utctime | |
|
|
404 | ||
|
|
405 | ||
|
|
406 | ||
|
|
407 | self.dataOut.lt=self.datatime.hour | |
|
|
408 | ||
|
|
409 | ||
|
|
410 | #print(RadarControllerHeader().ippSeconds) | |
|
|
411 | #print(RadarControllerHeader().ipp) | |
|
|
412 | #self.dataOut.utctime=time.gmtime(self.header[4][0])- datetime.datetime(1970, 1, 1) | |
|
|
413 | #self.dataOut.utctime=self.dataOut.utctime.total_seconds() | |
|
|
414 | #time1 = self.header[4][0] # header.time1 | |
|
|
415 | #print("time1: ",time1) | |
|
|
416 | #print(self.header[4][0]) | |
|
|
417 | #date = time.ctime(time1) | |
|
|
418 | #print("DADSADA",time.strptime(date)) | |
|
|
419 | #print("date_before: ",date) | |
|
|
420 | #bd_time=time.gmtime(time1) | |
|
|
421 | #print(time.mktime(bd_time)) | |
|
|
422 | #self.dataOut.utctime=time.mktime(bd_time) | |
|
|
423 | self.dataOut.utctime = self.header[4][0] | |
|
|
424 | #self.dataOut.datatime=a | |
|
|
425 | #print(datetime.datetime.utcfromtimestamp(self.dataOut.utctime)) | |
|
|
426 | #self.dataOut.TimeBlockDate=self.datatime.ctime() | |
|
|
427 | self.dataOut.TimeBlockSeconds=time.mktime(time.strptime(self.dataOut.datatime.ctime())) | |
|
|
428 | ||
|
|
429 | #self.dataOut.heightList = self.ranges | |
|
|
430 | #self.dataOut.utctime = (self.datatime - datetime.datetime(1970, 1, 1)).total_seconds() | |
|
|
431 | #self.dataOut.utctimeInit = self.dataOut.utctime | |
|
|
432 | #self.dataOut.paramInterval = min(self.intervals) | |
|
|
433 | #self.dataOut.useLocalTime = False | |
|
|
434 | self.dataOut.flagNoData = False | |
|
|
435 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock | |
|
|
436 | #print(self.dataOut.channelIndexList) | |
|
|
437 | self.dataOut.channelList=list(range(0,self.header[2][0])) | |
|
|
438 | #print(self.dataOut.channelList) | |
|
|
439 | #print(self.datatime) | |
|
|
440 | #print(self.dataOut.final_cross_products[0]) | |
|
|
441 | ||
|
|
442 | ||
|
|
443 | #self.dataOut.heightList=self.header[10][0]*(numpy.arange(self.header[15][0])) | |
|
|
444 | ||
|
|
445 | #print(numpy.shape(self.dataOut.heightList)) | |
|
|
446 | ||
|
|
447 | ||
|
|
448 | def getData(self): | |
|
|
449 | ''' | |
|
|
450 | Storing data from databuffer to dataOut object | |
|
|
451 | ''' | |
|
|
452 | ||
|
|
453 | if not self.readNextBlock(): | |
|
|
454 | self.dataOut.flagNoData = True | |
|
|
455 | return 0 | |
|
|
456 | ||
|
|
457 | self.set_output() | |
|
|
458 | ||
|
|
459 | return 1 | |
|
|
460 | ||
|
|
461 | def run(self, **kwargs): | |
|
|
462 | ||
|
|
463 | if not(self.isConfig): | |
|
|
464 | self.setup(**kwargs) | |
|
|
465 | self.isConfig = True | |
|
|
466 | #print("fpos1: ",self.fp.tell()) | |
|
|
467 | self.getData() | |
|
|
468 | ||
|
|
469 | return | |
|
|
470 | ||
|
|
471 | @MPDecorator | |
|
|
472 | class DatWriter(Operation): | |
|
|
473 | ||
|
|
474 | ||
|
|
475 | def __init__(self): | |
|
|
476 | ||
|
|
477 | Operation.__init__(self) | |
|
|
478 | #self.dataOut = Voltage() | |
|
|
479 | self.counter = 0 | |
|
|
480 | self.path = None | |
|
|
481 | self.fp = None | |
|
|
482 | return | |
|
|
483 | #self.ext= '.dat' | |
|
|
484 | ||
|
|
485 | def run(self, dataOut, path, format='dat', experiment=None, **kwargs): | |
|
|
486 | print(dataOut.flagNoData) | |
|
|
487 | print(dataOut.datatime.ctime()) | |
|
|
488 | print(dataOut.TimeBlockDate) | |
|
|
489 | input() | |
|
|
490 | #if dataOut.flag_save: | |
|
|
491 | self.experiment=experiment | |
|
|
492 | self.path=path | |
|
|
493 | if self.experiment=='DP': | |
|
|
494 | dataOut.header[1][0]=81864 | |
|
|
495 | elif self.experiment=='HP': | |
|
|
496 | dataOut.header[1][0]=185504#173216 | |
|
|
497 | #dataOut.header[1][0]=bufsize | |
|
|
498 | self.dataOut = dataOut | |
|
|
499 | #print(self.dataOut.nint) | |
|
|
500 | #self.bufsize=bufsize | |
|
|
501 | if format == 'dat': | |
|
|
502 | self.ext = '.dat' | |
|
|
503 | if format == 'out': | |
|
|
504 | self.ext = '.out' | |
|
|
505 | self.putData() | |
|
|
506 | ||
|
|
507 | return | |
|
|
508 | ||
|
|
509 | ||
|
|
510 | ||
|
|
511 | def setFile(self): | |
|
|
512 | ''' | |
|
|
513 | Create new out file object | |
|
|
514 | ''' | |
|
|
515 | ||
|
|
516 | #self.dataOut.TimeBlockSeconds=time.mktime(time.strptime(self.dataOut.TimeBlockDate)) | |
|
|
517 | date = datetime.datetime.fromtimestamp(self.dataOut.TimeBlockSeconds) | |
|
|
518 | ||
|
|
519 | #print("date",date) | |
|
|
520 | ||
|
|
521 | filename = '{}{}{}'.format('jro', | |
|
|
522 | date.strftime('%Y%m%d_%H%M%S'), | |
|
|
523 | self.ext) | |
|
|
524 | #print(filename) | |
|
|
525 | #print(self.path) | |
|
|
526 | ||
|
|
527 | self.fullname = os.path.join(self.path, filename) | |
|
|
528 | ||
|
|
529 | if os.path.isfile(self.fullname) : | |
|
|
530 | log.warning( | |
|
|
531 | 'Destination file {} already exists, previous file deleted.'.format( | |
|
|
532 | self.fullname), | |
|
|
533 | 'DatWriter') | |
|
|
534 | os.remove(self.fullname) | |
|
|
535 | ||
|
|
536 | try: | |
|
|
537 | log.success( | |
|
|
538 | 'Creating file: {}'.format(self.fullname), | |
|
|
539 | 'DatWriter') | |
|
|
540 | if not os.path.exists(self.path): | |
|
|
541 | os.makedirs(self.path) | |
|
|
542 | #self.fp = madrigal.cedar.MadrigalCedarFile(self.fullname, True) | |
|
|
543 | self.fp = open(self.fullname,'wb') | |
|
|
544 | ||
|
|
545 | except ValueError as e: | |
|
|
546 | log.error( | |
|
|
547 | 'Impossible to create *.out file', | |
|
|
548 | 'DatWriter') | |
|
|
549 | return | |
|
|
550 | ||
|
|
551 | return 1 | |
|
|
552 | ||
|
|
553 | def writeBlock(self): | |
|
|
554 | ||
|
|
555 | #self.dataOut.paramInterval=2 | |
|
|
556 | #startTime = datetime.datetime.utcfromtimestamp(self.dataOut.utctime) | |
|
|
557 | #print(startTime) | |
|
|
558 | #endTime = startTime + datetime.timedelta(seconds=self.dataOut.paramInterval) | |
|
|
559 | ||
|
|
560 | self.dataOut.header[0].astype('int32').tofile(self.fp) | |
|
|
561 | self.dataOut.header[1].astype('int32').tofile(self.fp) | |
|
|
562 | self.dataOut.header[2].astype('int32').tofile(self.fp) | |
|
|
563 | self.dataOut.header[3].astype('int32').tofile(self.fp) | |
|
|
564 | self.dataOut.header[4].astype('uint64').tofile(self.fp) | |
|
|
565 | self.dataOut.header[5].astype('uint64').tofile(self.fp) | |
|
|
566 | self.dataOut.header[6].astype('int32').tofile(self.fp) | |
|
|
567 | self.dataOut.header[7].astype('int32').tofile(self.fp) | |
|
|
568 | #print(dataOut.header[7]) | |
|
|
569 | self.dataOut.header[8].astype('int8').tofile(self.fp) | |
|
|
570 | self.dataOut.header[9].astype('float32').tofile(self.fp) | |
|
|
571 | self.dataOut.header[10].astype('float32').tofile(self.fp) | |
|
|
572 | self.dataOut.header[11].astype('float32').tofile(self.fp) | |
|
|
573 | self.dataOut.header[12].astype('int32').tofile(self.fp) | |
|
|
574 | self.dataOut.header[13].astype('int32').tofile(self.fp) | |
|
|
575 | self.dataOut.header[14].astype('int32').tofile(self.fp) | |
|
|
576 | self.dataOut.header[15].astype('int32').tofile(self.fp) | |
|
|
577 | self.dataOut.header[16].astype('uint64').tofile(self.fp) | |
|
|
578 | self.dataOut.header[17].astype('int32').tofile(self.fp) | |
|
|
579 | self.dataOut.header[18].astype('int32').tofile(self.fp) | |
|
|
580 | self.dataOut.header[19].astype('int32').tofile(self.fp) | |
|
|
581 | self.dataOut.header[20].astype('float32').tofile(self.fp) | |
|
|
582 | self.dataOut.header[21].astype('uint64').tofile(self.fp) | |
|
|
583 | self.dataOut.header[22].astype('uint64').tofile(self.fp) | |
|
|
584 | self.dataOut.header[23].astype('float32').tofile(self.fp) | |
|
|
585 | self.dataOut.header[24].astype('float32').tofile(self.fp) | |
|
|
586 | self.dataOut.header[25].astype('float32').tofile(self.fp) | |
|
|
587 | self.dataOut.header[26].astype('float32').tofile(self.fp) | |
|
|
588 | self.dataOut.header[27].astype('int32').tofile(self.fp) | |
|
|
589 | self.dataOut.header[28].astype('int32').tofile(self.fp) | |
|
|
590 | self.dataOut.header[29].astype('int32').tofile(self.fp) | |
|
|
591 | self.dataOut.header[30].astype('int32').tofile(self.fp) | |
|
|
592 | self.dataOut.header[31].astype('int32').tofile(self.fp) | |
|
|
593 | #print("tell before 1 ",self.fp.tell()) | |
|
|
594 | #input() | |
|
|
595 | ||
|
|
596 | if self.experiment=="HP": | |
|
|
597 | #print("INSIDE") | |
|
|
598 | #tmp=numpy.zeros(1,dtype='complex64') | |
|
|
599 | #print("tmp ",tmp) | |
|
|
600 | #input() | |
|
|
601 | #print(dataOut.NLAG) | |
|
|
602 | #print(dataOut.NR) | |
|
|
603 | #print(dataOut.NRANGE) | |
|
|
604 | for l in range(self.dataOut.NLAG): #lag | |
|
|
605 | for r in range(self.dataOut.NR): # unflip and flip | |
|
|
606 | for k in range(self.dataOut.NRANGE): #RANGE | |
|
|
607 | self.dataOut.output_LP.real[l,k,r].astype('float32').tofile(self.fp) | |
|
|
608 | self.dataOut.output_LP.imag[l,k,r].astype('float32').tofile(self.fp) | |
|
|
609 | ||
|
|
610 | ||
|
|
611 | #print("tell before 2 ",self.outputfile.tell()) | |
|
|
612 | ||
|
|
613 | ||
|
|
614 | ||
|
|
615 | ||
|
|
616 | ||
|
|
617 | #print(self.dataOut.output_LP[1,1,1]) | |
|
|
618 | ||
|
|
619 | #print(self.dataOut.kax) | |
|
|
620 | final_cross_products=[self.dataOut.kax,self.dataOut.kay,self.dataOut.kbx,self.dataOut.kby, | |
|
|
621 | self.dataOut.kax2,self.dataOut.kay2,self.dataOut.kbx2,self.dataOut.kby2, | |
|
|
622 | self.dataOut.kaxbx,self.dataOut.kaxby,self.dataOut.kaybx,self.dataOut.kayby, | |
|
|
623 | self.dataOut.kaxay,self.dataOut.kbxby] | |
|
|
624 | ||
|
|
625 | #print(self.dataOut.kax) | |
|
|
626 | #print("tell before crossp saving ",self.outputfile.tell()) | |
|
|
627 | for kabxys in final_cross_products: | |
|
|
628 | ||
|
|
629 | for l in range(self.dataOut.DPL): #lag | |
|
|
630 | for fl in range(2): # unflip and flip | |
|
|
631 | for k in range(self.dataOut.NDT): #RANGE | |
|
|
632 | kabxys[k,l,fl].astype('float32').tofile(self.fp) | |
|
|
633 | ||
|
|
634 | ||
|
|
635 | #print("tell before noise saving ",self.outputfile.tell()) | |
|
|
636 | ||
|
|
637 | ||
|
|
638 | for nch in range(self.dataOut.NR): | |
|
|
639 | self.dataOut.noise_final[nch].astype('float32').tofile(self.fp) | |
|
|
640 | ||
|
|
641 | #print("tell before noise saving ",self.fp.tell()) | |
|
|
642 | #input() | |
|
|
643 | ||
|
|
644 | ||
|
|
645 | ||
|
|
646 | ||
|
|
647 | log.log( | |
|
|
648 | 'Writing {} blocks'.format( | |
|
|
649 | self.counter+1), | |
|
|
650 | 'DatWriter') | |
|
|
651 | ||
|
|
652 | ||
|
|
653 | ||
|
|
654 | ||
|
|
655 | ||
|
|
656 | ||
|
|
657 | def putData(self): | |
|
|
658 | #print("flagNoData",self.dataOut.flagNoData) | |
|
|
659 | #print("flagDiscontinuousBlock",self.dataOut.flagDiscontinuousBlock) | |
|
|
660 | #print(self.dataOut.flagNoData) | |
|
|
661 | ||
|
|
662 | if self.dataOut.flagNoData: | |
|
|
663 | return 0 | |
|
|
664 | ||
|
|
665 | if self.dataOut.flagDiscontinuousBlock: | |
|
|
666 | ||
|
|
667 | self.counter = 0 | |
|
|
668 | ||
|
|
669 | if self.counter == 0: | |
|
|
670 | self.setFile() | |
|
|
671 | #if self.experiment=="HP": | |
|
|
672 | #if self.dataOut.debris_activated==0: | |
|
|
673 | #self.writeBlock() | |
|
|
674 | #self.counter += 1 | |
|
|
675 | #else: | |
|
|
676 | self.writeBlock() | |
|
|
677 | self.counter += 1 | |
|
|
678 | ||
|
|
679 | def close(self): | |
|
|
680 | ||
|
|
681 | if self.counter > 0: | |
|
|
682 | self.fp.close() | |
|
|
683 | log.success('Closing file {}'.format(self.fullname), 'DatWriter') | |
|
|
1 | NO CONTENT: new file 100644 | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
| @@ -1,1193 +1,1592 | |||
|
|
1 | 1 | # Copyright (c) 2012-2020 Jicamarca Radio Observatory |
|
|
2 | 2 | # All rights reserved. |
|
|
3 | 3 | # |
|
|
4 | 4 | # Distributed under the terms of the BSD 3-clause license. |
|
|
5 | 5 | """Definition of diferent Data objects for different types of data |
|
|
6 | 6 | |
|
|
7 | 7 | Here you will find the diferent data objects for the different types |
|
|
8 | 8 | of data, this data objects must be used as dataIn or dataOut objects in |
|
|
9 | 9 | processing units and operations. Currently the supported data objects are: |
|
|
10 | 10 | Voltage, Spectra, SpectraHeis, Fits, Correlation and Parameters |
|
|
11 | 11 | """ |
|
|
12 | 12 | |
|
|
13 | 13 | import copy |
|
|
14 | 14 | import numpy |
|
|
15 | 15 | import datetime |
|
|
16 | 16 | import json |
|
|
17 | 17 | |
|
|
18 | 18 | import schainpy.admin |
|
|
19 | 19 | from schainpy.utils import log |
|
|
20 | 20 | from .jroheaderIO import SystemHeader, RadarControllerHeader |
|
|
21 | 21 | from schainpy.model.data import _noise |
|
|
22 | 22 | |
|
|
23 | 23 | |
|
|
24 | 24 | def getNumpyDtype(dataTypeCode): |
|
|
25 | 25 | |
|
|
26 | 26 | if dataTypeCode == 0: |
|
|
27 | 27 | numpyDtype = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
28 | 28 | elif dataTypeCode == 1: |
|
|
29 | 29 | numpyDtype = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
30 | 30 | elif dataTypeCode == 2: |
|
|
31 | 31 | numpyDtype = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
32 | 32 | elif dataTypeCode == 3: |
|
|
33 | 33 | numpyDtype = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
34 | 34 | elif dataTypeCode == 4: |
|
|
35 | 35 | numpyDtype = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
36 | 36 | elif dataTypeCode == 5: |
|
|
37 | 37 | numpyDtype = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
38 | 38 | else: |
|
|
39 | 39 | raise ValueError('dataTypeCode was not defined') |
|
|
40 | 40 | |
|
|
41 | 41 | return numpyDtype |
|
|
42 | 42 | |
|
|
43 | 43 | |
|
|
44 | 44 | def getDataTypeCode(numpyDtype): |
|
|
45 | 45 | |
|
|
46 | 46 | if numpyDtype == numpy.dtype([('real', '<i1'), ('imag', '<i1')]): |
|
|
47 | 47 | datatype = 0 |
|
|
48 | 48 | elif numpyDtype == numpy.dtype([('real', '<i2'), ('imag', '<i2')]): |
|
|
49 | 49 | datatype = 1 |
|
|
50 | 50 | elif numpyDtype == numpy.dtype([('real', '<i4'), ('imag', '<i4')]): |
|
|
51 | 51 | datatype = 2 |
|
|
52 | 52 | elif numpyDtype == numpy.dtype([('real', '<i8'), ('imag', '<i8')]): |
|
|
53 | 53 | datatype = 3 |
|
|
54 | 54 | elif numpyDtype == numpy.dtype([('real', '<f4'), ('imag', '<f4')]): |
|
|
55 | 55 | datatype = 4 |
|
|
56 | 56 | elif numpyDtype == numpy.dtype([('real', '<f8'), ('imag', '<f8')]): |
|
|
57 | 57 | datatype = 5 |
|
|
58 | 58 | else: |
|
|
59 | 59 | datatype = None |
|
|
60 | 60 | |
|
|
61 | 61 | return datatype |
|
|
62 | 62 | |
|
|
63 | 63 | |
|
|
64 | 64 | def hildebrand_sekhon(data, navg): |
|
|
65 | 65 | """ |
|
|
66 | 66 | This method is for the objective determination of the noise level in Doppler spectra. This |
|
|
67 | 67 | implementation technique is based on the fact that the standard deviation of the spectral |
|
|
68 | 68 | densities is equal to the mean spectral density for white Gaussian noise |
|
|
69 | 69 | |
|
|
70 | 70 | Inputs: |
|
|
71 | 71 | Data : heights |
|
|
72 | 72 | navg : numbers of averages |
|
|
73 | 73 | |
|
|
74 | 74 | Return: |
|
|
75 | 75 | mean : noise's level |
|
|
76 | 76 | """ |
|
|
77 | 77 | |
|
|
78 | 78 | sortdata = numpy.sort(data, axis=None) |
|
|
79 | #print(numpy.shape(data)) | |
|
|
80 | #exit() | |
|
|
79 | 81 | ''' |
|
|
80 | 82 | lenOfData = len(sortdata) |
|
|
81 | 83 | nums_min = lenOfData*0.2 |
|
|
82 | 84 | |
|
|
83 | 85 | if nums_min <= 5: |
|
|
84 | 86 | |
|
|
85 | 87 | nums_min = 5 |
|
|
86 | 88 | |
|
|
87 | 89 | sump = 0. |
|
|
88 | 90 | sumq = 0. |
|
|
89 | 91 | |
|
|
90 | 92 | j = 0 |
|
|
91 | 93 | cont = 1 |
|
|
92 | 94 | |
|
|
93 | 95 | while((cont == 1)and(j < lenOfData)): |
|
|
94 | 96 | |
|
|
95 | 97 | sump += sortdata[j] |
|
|
96 | 98 | sumq += sortdata[j]**2 |
|
|
97 | 99 | |
|
|
98 | 100 | if j > nums_min: |
|
|
99 | 101 | rtest = float(j)/(j-1) + 1.0/navg |
|
|
100 | 102 | if ((sumq*j) > (rtest*sump**2)): |
|
|
101 | 103 | j = j - 1 |
|
|
102 | 104 | sump = sump - sortdata[j] |
|
|
103 | 105 | sumq = sumq - sortdata[j]**2 |
|
|
104 | 106 | cont = 0 |
|
|
105 | 107 | |
|
|
106 | 108 | j += 1 |
|
|
107 | 109 | |
|
|
108 | 110 | lnoise = sump / j |
|
|
109 | 111 | ''' |
|
|
110 | 112 | return _noise.hildebrand_sekhon(sortdata, navg) |
|
|
111 | 113 | |
|
|
112 | 114 | |
|
|
113 | 115 | class Beam: |
|
|
114 | 116 | |
|
|
115 | 117 | def __init__(self): |
|
|
116 | 118 | self.codeList = [] |
|
|
117 | 119 | self.azimuthList = [] |
|
|
118 | 120 | self.zenithList = [] |
|
|
119 | 121 | |
|
|
120 | 122 | |
|
|
121 | 123 | class GenericData(object): |
|
|
122 | 124 | |
|
|
123 | 125 | flagNoData = True |
|
|
124 | 126 | |
|
|
125 | 127 | def copy(self, inputObj=None): |
|
|
126 | 128 | |
|
|
127 | 129 | if inputObj == None: |
|
|
128 | 130 | return copy.deepcopy(self) |
|
|
129 | 131 | |
|
|
130 | 132 | for key in list(inputObj.__dict__.keys()): |
|
|
131 | 133 | |
|
|
132 | 134 | attribute = inputObj.__dict__[key] |
|
|
133 | 135 | |
|
|
134 | 136 | # If this attribute is a tuple or list |
|
|
135 | 137 | if type(inputObj.__dict__[key]) in (tuple, list): |
|
|
136 | 138 | self.__dict__[key] = attribute[:] |
|
|
137 | 139 | continue |
|
|
138 | 140 | |
|
|
139 | 141 | # If this attribute is another object or instance |
|
|
140 | 142 | if hasattr(attribute, '__dict__'): |
|
|
141 | 143 | self.__dict__[key] = attribute.copy() |
|
|
142 | 144 | continue |
|
|
143 | 145 | |
|
|
144 | 146 | self.__dict__[key] = inputObj.__dict__[key] |
|
|
145 | 147 | |
|
|
146 | 148 | def deepcopy(self): |
|
|
147 | 149 | |
|
|
148 | 150 | return copy.deepcopy(self) |
|
|
149 | 151 | |
|
|
150 | 152 | def isEmpty(self): |
|
|
151 | 153 | |
|
|
152 | 154 | return self.flagNoData |
|
|
153 | 155 | |
|
|
154 | 156 | def isReady(self): |
|
|
155 | 157 | |
|
|
156 | 158 | return not self.flagNoData |
|
|
157 | 159 | |
|
|
158 | 160 | |
|
|
159 | 161 | class JROData(GenericData): |
|
|
160 | 162 | |
|
|
161 | 163 | systemHeaderObj = SystemHeader() |
|
|
162 | 164 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
163 | 165 | type = None |
|
|
164 | 166 | datatype = None # dtype but in string |
|
|
165 | 167 | nProfiles = None |
|
|
166 | 168 | heightList = None |
|
|
167 | 169 | channelList = None |
|
|
168 | 170 | flagDiscontinuousBlock = False |
|
|
169 | 171 | useLocalTime = False |
|
|
170 | 172 | utctime = None |
|
|
171 | 173 | timeZone = None |
|
|
172 | 174 | dstFlag = None |
|
|
173 | 175 | errorCount = None |
|
|
174 | 176 | blocksize = None |
|
|
175 | 177 | flagDecodeData = False # asumo q la data no esta decodificada |
|
|
176 | 178 | flagDeflipData = False # asumo q la data no esta sin flip |
|
|
177 | 179 | flagShiftFFT = False |
|
|
178 | 180 | nCohInt = None |
|
|
179 | 181 | windowOfFilter = 1 |
|
|
180 | 182 | C = 3e8 |
|
|
181 | 183 | frequency = 49.92e6 |
|
|
182 | 184 | realtime = False |
|
|
183 | 185 | beacon_heiIndexList = None |
|
|
184 | 186 | last_block = None |
|
|
185 | 187 | blocknow = None |
|
|
186 | 188 | azimuth = None |
|
|
187 | 189 | zenith = None |
|
|
188 | 190 | beam = Beam() |
|
|
189 | 191 | profileIndex = None |
|
|
190 | 192 | error = None |
|
|
191 | 193 | data = None |
|
|
192 | 194 | nmodes = None |
|
|
193 | 195 | metadata_list = ['heightList', 'timeZone', 'type'] |
|
|
194 | 196 | |
|
|
195 | 197 | def __str__(self): |
|
|
196 | 198 | |
|
|
197 | 199 | return '{} - {}'.format(self.type, self.datatime()) |
|
|
198 | 200 | |
|
|
199 | 201 | def getNoise(self): |
|
|
200 | 202 | |
|
|
201 | 203 | raise NotImplementedError |
|
|
202 | 204 | |
|
|
203 | 205 | @property |
|
|
204 | 206 | def nChannels(self): |
|
|
205 | 207 | |
|
|
206 | 208 | return len(self.channelList) |
|
|
207 | 209 | |
|
|
208 | 210 | @property |
|
|
209 | 211 | def channelIndexList(self): |
|
|
210 | 212 | |
|
|
211 | 213 | return list(range(self.nChannels)) |
|
|
212 | 214 | |
|
|
213 | 215 | @property |
|
|
214 | 216 | def nHeights(self): |
|
|
215 | 217 | |
|
|
216 | 218 | return len(self.heightList) |
|
|
217 | 219 | |
|
|
218 | 220 | def getDeltaH(self): |
|
|
219 | 221 | |
|
|
220 | 222 | return self.heightList[1] - self.heightList[0] |
|
|
221 | 223 | |
|
|
222 | 224 | @property |
|
|
223 | 225 | def ltctime(self): |
|
|
224 | 226 | |
|
|
225 | 227 | if self.useLocalTime: |
|
|
226 | 228 | return self.utctime - self.timeZone * 60 |
|
|
227 | 229 | |
|
|
228 | 230 | return self.utctime |
|
|
229 | 231 | |
|
|
230 | 232 | @property |
|
|
231 | 233 | def datatime(self): |
|
|
232 | 234 | |
|
|
233 | 235 | datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
234 | 236 | return datatimeValue |
|
|
235 | 237 | |
|
|
236 | 238 | def getTimeRange(self): |
|
|
237 | 239 | |
|
|
238 | 240 | datatime = [] |
|
|
239 | 241 | |
|
|
240 | 242 | datatime.append(self.ltctime) |
|
|
241 | 243 | datatime.append(self.ltctime + self.timeInterval + 1) |
|
|
242 | 244 | |
|
|
243 | 245 | datatime = numpy.array(datatime) |
|
|
244 | 246 | |
|
|
245 | 247 | return datatime |
|
|
246 | 248 | |
|
|
247 | 249 | def getFmaxTimeResponse(self): |
|
|
248 | 250 | |
|
|
249 | 251 | period = (10**-6) * self.getDeltaH() / (0.15) |
|
|
250 | 252 | |
|
|
251 | 253 | PRF = 1. / (period * self.nCohInt) |
|
|
252 | 254 | |
|
|
253 | 255 | fmax = PRF |
|
|
254 | 256 | |
|
|
255 | 257 | return fmax |
|
|
256 | 258 | |
|
|
257 | 259 | def getFmax(self): |
|
|
258 | 260 | PRF = 1. / (self.ippSeconds * self.nCohInt) |
|
|
259 | 261 | |
|
|
260 | 262 | fmax = PRF |
|
|
261 | 263 | return fmax |
|
|
262 | 264 | |
|
|
263 | 265 | def getVmax(self): |
|
|
264 | 266 | |
|
|
265 | 267 | _lambda = self.C / self.frequency |
|
|
266 | 268 | |
|
|
267 | 269 | vmax = self.getFmax() * _lambda / 2 |
|
|
268 | 270 | |
|
|
269 | 271 | return vmax |
|
|
270 | 272 | |
|
|
271 | 273 | @property |
|
|
272 | 274 | def ippSeconds(self): |
|
|
273 | 275 | ''' |
|
|
274 | 276 | ''' |
|
|
275 | 277 | return self.radarControllerHeaderObj.ippSeconds |
|
|
276 | ||
|
|
278 | ||
|
|
277 | 279 | @ippSeconds.setter |
|
|
278 | 280 | def ippSeconds(self, ippSeconds): |
|
|
279 | 281 | ''' |
|
|
280 | 282 | ''' |
|
|
281 | 283 | self.radarControllerHeaderObj.ippSeconds = ippSeconds |
|
|
282 | ||
|
|
284 | ||
|
|
283 | 285 | @property |
|
|
284 | 286 | def code(self): |
|
|
285 | 287 | ''' |
|
|
286 | 288 | ''' |
|
|
287 | 289 | return self.radarControllerHeaderObj.code |
|
|
288 | 290 | |
|
|
289 | 291 | @code.setter |
|
|
290 | 292 | def code(self, code): |
|
|
291 | 293 | ''' |
|
|
292 | 294 | ''' |
|
|
293 | 295 | self.radarControllerHeaderObj.code = code |
|
|
294 | 296 | |
|
|
295 | 297 | @property |
|
|
296 | 298 | def nCode(self): |
|
|
297 | 299 | ''' |
|
|
298 | 300 | ''' |
|
|
299 | 301 | return self.radarControllerHeaderObj.nCode |
|
|
300 | 302 | |
|
|
301 | 303 | @nCode.setter |
|
|
302 | 304 | def nCode(self, ncode): |
|
|
303 | 305 | ''' |
|
|
304 | 306 | ''' |
|
|
305 | 307 | self.radarControllerHeaderObj.nCode = ncode |
|
|
306 | 308 | |
|
|
307 | 309 | @property |
|
|
308 | 310 | def nBaud(self): |
|
|
309 | 311 | ''' |
|
|
310 | 312 | ''' |
|
|
311 | 313 | return self.radarControllerHeaderObj.nBaud |
|
|
312 | 314 | |
|
|
313 | 315 | @nBaud.setter |
|
|
314 | 316 | def nBaud(self, nbaud): |
|
|
315 | 317 | ''' |
|
|
316 | 318 | ''' |
|
|
317 | 319 | self.radarControllerHeaderObj.nBaud = nbaud |
|
|
318 | 320 | |
|
|
319 | 321 | @property |
|
|
320 | 322 | def ipp(self): |
|
|
321 | 323 | ''' |
|
|
322 | 324 | ''' |
|
|
323 | 325 | return self.radarControllerHeaderObj.ipp |
|
|
324 | 326 | |
|
|
325 | 327 | @ipp.setter |
|
|
326 | 328 | def ipp(self, ipp): |
|
|
327 | 329 | ''' |
|
|
328 | 330 | ''' |
|
|
329 | 331 | self.radarControllerHeaderObj.ipp = ipp |
|
|
330 | 332 | |
|
|
331 | 333 | @property |
|
|
332 | 334 | def metadata(self): |
|
|
333 | 335 | ''' |
|
|
334 | 336 | ''' |
|
|
335 | 337 | |
|
|
336 | 338 | return {attr: getattr(self, attr) for attr in self.metadata_list} |
|
|
337 | 339 | |
|
|
338 | 340 | |
|
|
339 | 341 | class Voltage(JROData): |
|
|
340 | 342 | |
|
|
341 | 343 | dataPP_POW = None |
|
|
342 | 344 | dataPP_DOP = None |
|
|
343 | 345 | dataPP_WIDTH = None |
|
|
344 | 346 | dataPP_SNR = None |
|
|
345 | 347 | |
|
|
346 | 348 | def __init__(self): |
|
|
347 | 349 | ''' |
|
|
348 | 350 | Constructor |
|
|
349 | 351 | ''' |
|
|
350 | 352 | |
|
|
351 | 353 | self.useLocalTime = True |
|
|
352 | 354 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
353 | 355 | self.systemHeaderObj = SystemHeader() |
|
|
354 | 356 | self.type = "Voltage" |
|
|
355 | 357 | self.data = None |
|
|
356 | 358 | self.nProfiles = None |
|
|
357 | 359 | self.heightList = None |
|
|
358 | 360 | self.channelList = None |
|
|
359 | 361 | self.flagNoData = True |
|
|
360 | 362 | self.flagDiscontinuousBlock = False |
|
|
361 | 363 | self.utctime = None |
|
|
362 | 364 | self.timeZone = 0 |
|
|
363 | 365 | self.dstFlag = None |
|
|
364 | 366 | self.errorCount = None |
|
|
365 | 367 | self.nCohInt = None |
|
|
366 | 368 | self.blocksize = None |
|
|
367 | 369 | self.flagCohInt = False |
|
|
368 | 370 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
369 | 371 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
370 | 372 | self.flagShiftFFT = False |
|
|
371 | 373 | self.flagDataAsBlock = False # Asumo que la data es leida perfil a perfil |
|
|
372 | 374 | self.profileIndex = 0 |
|
|
373 |
self.metadata_list = ['type', 'heightList', 'timeZone', 'nProfiles', 'channelList', 'nCohInt', |
|
|
|
375 | self.metadata_list = ['type', 'heightList', 'timeZone', 'nProfiles', 'channelList', 'nCohInt', | |
|
|
374 | 376 | 'code', 'nCode', 'nBaud', 'ippSeconds', 'ipp'] |
|
|
375 | 377 | |
|
|
376 | 378 | def getNoisebyHildebrand(self, channel=None): |
|
|
377 | 379 | """ |
|
|
378 | 380 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
379 | 381 | |
|
|
380 | 382 | Return: |
|
|
381 | 383 | noiselevel |
|
|
382 | 384 | """ |
|
|
383 | 385 | |
|
|
384 | 386 | if channel != None: |
|
|
385 | 387 | data = self.data[channel] |
|
|
386 | 388 | nChannels = 1 |
|
|
387 | 389 | else: |
|
|
388 | 390 | data = self.data |
|
|
389 | 391 | nChannels = self.nChannels |
|
|
390 | 392 | |
|
|
391 | 393 | noise = numpy.zeros(nChannels) |
|
|
392 | 394 | power = data * numpy.conjugate(data) |
|
|
393 | 395 | |
|
|
394 | 396 | for thisChannel in range(nChannels): |
|
|
395 | 397 | if nChannels == 1: |
|
|
396 | 398 | daux = power[:].real |
|
|
397 | 399 | else: |
|
|
398 | 400 | daux = power[thisChannel, :].real |
|
|
399 | 401 | noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt) |
|
|
400 | 402 | |
|
|
401 | 403 | return noise |
|
|
402 | 404 | |
|
|
403 | 405 | def getNoise(self, type=1, channel=None): |
|
|
404 | 406 | |
|
|
405 | 407 | if type == 1: |
|
|
406 | 408 | noise = self.getNoisebyHildebrand(channel) |
|
|
407 | 409 | |
|
|
408 | 410 | return noise |
|
|
409 | 411 | |
|
|
410 | 412 | def getPower(self, channel=None): |
|
|
411 | 413 | |
|
|
412 | 414 | if channel != None: |
|
|
413 | 415 | data = self.data[channel] |
|
|
414 | 416 | else: |
|
|
415 | 417 | data = self.data |
|
|
416 | 418 | |
|
|
417 | 419 | power = data * numpy.conjugate(data) |
|
|
418 | 420 | powerdB = 10 * numpy.log10(power.real) |
|
|
419 | 421 | powerdB = numpy.squeeze(powerdB) |
|
|
420 | 422 | |
|
|
421 | 423 | return powerdB |
|
|
422 | 424 | |
|
|
423 | 425 | @property |
|
|
424 | 426 | def timeInterval(self): |
|
|
425 | 427 | |
|
|
426 | 428 | return self.ippSeconds * self.nCohInt |
|
|
427 | 429 | |
|
|
428 | 430 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
429 | 431 | |
|
|
430 | 432 | |
|
|
433 | class CrossProds(JROData): | |
|
|
434 | ||
|
|
435 | # data es un numpy array de 2 dmensiones (canales, alturas) | |
|
|
436 | data = None | |
|
|
437 | ||
|
|
438 | def __init__(self): | |
|
|
439 | ''' | |
|
|
440 | Constructor | |
|
|
441 | ''' | |
|
|
442 | ||
|
|
443 | self.useLocalTime = True | |
|
|
444 | ''' | |
|
|
445 | self.radarControllerHeaderObj = RadarControllerHeader() | |
|
|
446 | self.systemHeaderObj = SystemHeader() | |
|
|
447 | self.type = "Voltage" | |
|
|
448 | self.data = None | |
|
|
449 | # self.dtype = None | |
|
|
450 | # self.nChannels = 0 | |
|
|
451 | # self.nHeights = 0 | |
|
|
452 | self.nProfiles = None | |
|
|
453 | self.heightList = None | |
|
|
454 | self.channelList = None | |
|
|
455 | # self.channelIndexList = None | |
|
|
456 | self.flagNoData = True | |
|
|
457 | self.flagDiscontinuousBlock = False | |
|
|
458 | self.utctime = None | |
|
|
459 | self.timeZone = None | |
|
|
460 | self.dstFlag = None | |
|
|
461 | self.errorCount = None | |
|
|
462 | self.nCohInt = None | |
|
|
463 | self.blocksize = None | |
|
|
464 | self.flagDecodeData = False # asumo q la data no esta decodificada | |
|
|
465 | self.flagDeflipData = False # asumo q la data no esta sin flip | |
|
|
466 | self.flagShiftFFT = False | |
|
|
467 | self.flagDataAsBlock = False # Asumo que la data es leida perfil a perfil | |
|
|
468 | self.profileIndex = 0 | |
|
|
469 | ||
|
|
470 | ||
|
|
471 | def getNoisebyHildebrand(self, channel=None): | |
|
|
472 | ||
|
|
473 | ||
|
|
474 | if channel != None: | |
|
|
475 | data = self.data[channel] | |
|
|
476 | nChannels = 1 | |
|
|
477 | else: | |
|
|
478 | data = self.data | |
|
|
479 | nChannels = self.nChannels | |
|
|
480 | ||
|
|
481 | noise = numpy.zeros(nChannels) | |
|
|
482 | power = data * numpy.conjugate(data) | |
|
|
483 | ||
|
|
484 | for thisChannel in range(nChannels): | |
|
|
485 | if nChannels == 1: | |
|
|
486 | daux = power[:].real | |
|
|
487 | else: | |
|
|
488 | daux = power[thisChannel, :].real | |
|
|
489 | noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt) | |
|
|
490 | ||
|
|
491 | return noise | |
|
|
492 | ||
|
|
493 | def getNoise(self, type=1, channel=None): | |
|
|
494 | ||
|
|
495 | if type == 1: | |
|
|
496 | noise = self.getNoisebyHildebrand(channel) | |
|
|
497 | ||
|
|
498 | return noise | |
|
|
499 | ||
|
|
500 | def getPower(self, channel=None): | |
|
|
501 | ||
|
|
502 | if channel != None: | |
|
|
503 | data = self.data[channel] | |
|
|
504 | else: | |
|
|
505 | data = self.data | |
|
|
506 | ||
|
|
507 | power = data * numpy.conjugate(data) | |
|
|
508 | powerdB = 10 * numpy.log10(power.real) | |
|
|
509 | powerdB = numpy.squeeze(powerdB) | |
|
|
510 | ||
|
|
511 | return powerdB | |
|
|
512 | ||
|
|
513 | def getTimeInterval(self): | |
|
|
514 | ||
|
|
515 | timeInterval = self.ippSeconds * self.nCohInt | |
|
|
516 | ||
|
|
517 | return timeInterval | |
|
|
518 | ||
|
|
519 | noise = property(getNoise, "I'm the 'nHeights' property.") | |
|
|
520 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") | |
|
|
521 | ''' | |
|
|
522 | def getTimeInterval(self): | |
|
|
523 | ||
|
|
524 | timeInterval = self.ippSeconds * self.nCohInt | |
|
|
525 | ||
|
|
526 | return timeInterval | |
|
|
527 | ||
|
|
528 | ||
|
|
529 | ||
|
|
431 | 530 | class Spectra(JROData): |
|
|
432 | 531 | |
|
|
433 | 532 | def __init__(self): |
|
|
434 | 533 | ''' |
|
|
435 | 534 | Constructor |
|
|
436 | 535 | ''' |
|
|
437 | 536 | |
|
|
438 | 537 | self.useLocalTime = True |
|
|
439 | 538 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
440 | 539 | self.systemHeaderObj = SystemHeader() |
|
|
441 | 540 | self.type = "Spectra" |
|
|
442 | 541 | self.timeZone = 0 |
|
|
443 | 542 | self.nProfiles = None |
|
|
444 | 543 | self.heightList = None |
|
|
445 | 544 | self.channelList = None |
|
|
446 | 545 | self.pairsList = None |
|
|
447 | 546 | self.flagNoData = True |
|
|
448 | 547 | self.flagDiscontinuousBlock = False |
|
|
449 | 548 | self.utctime = None |
|
|
450 | 549 | self.nCohInt = None |
|
|
451 | 550 | self.nIncohInt = None |
|
|
452 | 551 | self.blocksize = None |
|
|
453 | 552 | self.nFFTPoints = None |
|
|
454 | 553 | self.wavelength = None |
|
|
455 | 554 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
456 | 555 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
457 | 556 | self.flagShiftFFT = False |
|
|
458 | 557 | self.ippFactor = 1 |
|
|
459 | 558 | self.beacon_heiIndexList = [] |
|
|
460 | 559 | self.noise_estimation = None |
|
|
461 |
self.metadata_list = ['type', 'heightList', 'timeZone', 'pairsList', 'channelList', 'nCohInt', |
|
|
|
560 | self.metadata_list = ['type', 'heightList', 'timeZone', 'pairsList', 'channelList', 'nCohInt', | |
|
|
462 | 561 | 'code', 'nCode', 'nBaud', 'ippSeconds', 'ipp','nIncohInt', 'nFFTPoints', 'nProfiles'] |
|
|
463 | 562 | |
|
|
464 | 563 | def getNoisebyHildebrand(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
465 | 564 | """ |
|
|
466 | 565 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
467 | 566 | |
|
|
468 | 567 | Return: |
|
|
469 | 568 | noiselevel |
|
|
470 | 569 | """ |
|
|
471 | 570 | |
|
|
472 | 571 | noise = numpy.zeros(self.nChannels) |
|
|
473 | 572 | |
|
|
474 | 573 | for channel in range(self.nChannels): |
|
|
475 | 574 | daux = self.data_spc[channel, |
|
|
476 | 575 | xmin_index:xmax_index, ymin_index:ymax_index] |
|
|
477 | 576 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
|
|
478 | 577 | |
|
|
479 | 578 | return noise |
|
|
480 | 579 | |
|
|
481 | 580 | def getNoise(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
482 | 581 | |
|
|
483 | 582 | if self.noise_estimation is not None: |
|
|
484 | 583 | # this was estimated by getNoise Operation defined in jroproc_spectra.py |
|
|
485 | 584 | return self.noise_estimation |
|
|
486 | 585 | else: |
|
|
487 | 586 | noise = self.getNoisebyHildebrand( |
|
|
488 | 587 | xmin_index, xmax_index, ymin_index, ymax_index) |
|
|
489 | 588 | return noise |
|
|
490 | 589 | |
|
|
491 | 590 | def getFreqRangeTimeResponse(self, extrapoints=0): |
|
|
492 | 591 | |
|
|
493 | 592 | deltafreq = self.getFmaxTimeResponse() / (self.nFFTPoints * self.ippFactor) |
|
|
494 | 593 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) - self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
495 | 594 | |
|
|
496 | 595 | return freqrange |
|
|
497 | 596 | |
|
|
498 | 597 | def getAcfRange(self, extrapoints=0): |
|
|
499 | 598 | |
|
|
500 | 599 | deltafreq = 10. / (self.getFmax() / (self.nFFTPoints * self.ippFactor)) |
|
|
501 | 600 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) -self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
502 | 601 | |
|
|
503 | 602 | return freqrange |
|
|
504 | 603 | |
|
|
505 | 604 | def getFreqRange(self, extrapoints=0): |
|
|
506 | 605 | |
|
|
507 | 606 | deltafreq = self.getFmax() / (self.nFFTPoints * self.ippFactor) |
|
|
508 | 607 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) -self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
509 | 608 | |
|
|
510 | 609 | return freqrange |
|
|
511 | 610 | |
|
|
512 | 611 | def getVelRange(self, extrapoints=0): |
|
|
513 | 612 | |
|
|
514 | 613 | deltav = self.getVmax() / (self.nFFTPoints * self.ippFactor) |
|
|
515 | 614 | velrange = deltav * (numpy.arange(self.nFFTPoints + extrapoints) - self.nFFTPoints / 2.) |
|
|
516 | 615 | |
|
|
517 | 616 | if self.nmodes: |
|
|
518 | 617 | return velrange/self.nmodes |
|
|
519 | 618 | else: |
|
|
520 | 619 | return velrange |
|
|
521 | 620 | |
|
|
522 | 621 | @property |
|
|
523 | 622 | def nPairs(self): |
|
|
524 | 623 | |
|
|
525 | 624 | return len(self.pairsList) |
|
|
526 | 625 | |
|
|
527 | 626 | @property |
|
|
528 | 627 | def pairsIndexList(self): |
|
|
529 | 628 | |
|
|
530 | 629 | return list(range(self.nPairs)) |
|
|
531 | 630 | |
|
|
532 | 631 | @property |
|
|
533 | 632 | def normFactor(self): |
|
|
534 | 633 | |
|
|
535 | 634 | pwcode = 1 |
|
|
536 | 635 | |
|
|
537 | 636 | if self.flagDecodeData: |
|
|
538 | 637 | pwcode = numpy.sum(self.code[0]**2) |
|
|
539 | 638 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
|
540 | 639 | normFactor = self.nProfiles * self.nIncohInt * self.nCohInt * pwcode * self.windowOfFilter |
|
|
541 | 640 | |
|
|
542 | 641 | return normFactor |
|
|
543 | 642 | |
|
|
544 | 643 | @property |
|
|
545 | 644 | def flag_cspc(self): |
|
|
546 | 645 | |
|
|
547 | 646 | if self.data_cspc is None: |
|
|
548 | 647 | return True |
|
|
549 | 648 | |
|
|
550 | 649 | return False |
|
|
551 | 650 | |
|
|
552 | 651 | @property |
|
|
553 | 652 | def flag_dc(self): |
|
|
554 | 653 | |
|
|
555 | 654 | if self.data_dc is None: |
|
|
556 | 655 | return True |
|
|
557 | 656 | |
|
|
558 | 657 | return False |
|
|
559 | 658 | |
|
|
560 | 659 | @property |
|
|
561 | 660 | def timeInterval(self): |
|
|
562 | 661 | |
|
|
563 | 662 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt * self.nProfiles * self.ippFactor |
|
|
564 | 663 | if self.nmodes: |
|
|
565 | 664 | return self.nmodes*timeInterval |
|
|
566 | 665 | else: |
|
|
567 | 666 | return timeInterval |
|
|
568 | 667 | |
|
|
569 | 668 | def getPower(self): |
|
|
570 | 669 | |
|
|
571 | 670 | factor = self.normFactor |
|
|
572 | 671 | z = self.data_spc / factor |
|
|
573 | 672 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
574 | 673 | avg = numpy.average(z, axis=1) |
|
|
575 | 674 | |
|
|
576 | 675 | return 10 * numpy.log10(avg) |
|
|
577 | 676 | |
|
|
578 | 677 | def getCoherence(self, pairsList=None, phase=False): |
|
|
579 | 678 | |
|
|
580 | 679 | z = [] |
|
|
581 | 680 | if pairsList is None: |
|
|
582 | 681 | pairsIndexList = self.pairsIndexList |
|
|
583 | 682 | else: |
|
|
584 | 683 | pairsIndexList = [] |
|
|
585 | 684 | for pair in pairsList: |
|
|
586 | 685 | if pair not in self.pairsList: |
|
|
587 | 686 | raise ValueError("Pair %s is not in dataOut.pairsList" % ( |
|
|
588 | 687 | pair)) |
|
|
589 | 688 | pairsIndexList.append(self.pairsList.index(pair)) |
|
|
590 | 689 | for i in range(len(pairsIndexList)): |
|
|
591 | 690 | pair = self.pairsList[pairsIndexList[i]] |
|
|
592 | 691 | ccf = numpy.average(self.data_cspc[pairsIndexList[i], :, :], axis=0) |
|
|
593 | 692 | powa = numpy.average(self.data_spc[pair[0], :, :], axis=0) |
|
|
594 | 693 | powb = numpy.average(self.data_spc[pair[1], :, :], axis=0) |
|
|
595 | 694 | avgcoherenceComplex = ccf / numpy.sqrt(powa * powb) |
|
|
596 | 695 | if phase: |
|
|
597 | 696 | data = numpy.arctan2(avgcoherenceComplex.imag, |
|
|
598 | 697 | avgcoherenceComplex.real) * 180 / numpy.pi |
|
|
599 | 698 | else: |
|
|
600 | 699 | data = numpy.abs(avgcoherenceComplex) |
|
|
601 | 700 | |
|
|
602 | 701 | z.append(data) |
|
|
603 | 702 | |
|
|
604 | 703 | return numpy.array(z) |
|
|
605 | 704 | |
|
|
606 | 705 | def setValue(self, value): |
|
|
607 | 706 | |
|
|
608 | 707 | print("This property should not be initialized") |
|
|
609 | 708 | |
|
|
610 | 709 | return |
|
|
611 | ||
|
|
710 | ||
|
|
612 | 711 | noise = property(getNoise, setValue, "I'm the 'nHeights' property.") |
|
|
613 | 712 | |
|
|
614 | 713 | |
|
|
615 | 714 | class SpectraHeis(Spectra): |
|
|
616 | 715 | |
|
|
617 | 716 | def __init__(self): |
|
|
618 | 717 | |
|
|
619 | 718 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
620 | 719 | self.systemHeaderObj = SystemHeader() |
|
|
621 | 720 | self.type = "SpectraHeis" |
|
|
622 | 721 | self.nProfiles = None |
|
|
623 | 722 | self.heightList = None |
|
|
624 | 723 | self.channelList = None |
|
|
625 | 724 | self.flagNoData = True |
|
|
626 | 725 | self.flagDiscontinuousBlock = False |
|
|
627 | 726 | self.utctime = None |
|
|
628 | 727 | self.blocksize = None |
|
|
629 | 728 | self.profileIndex = 0 |
|
|
630 | 729 | self.nCohInt = 1 |
|
|
631 | 730 | self.nIncohInt = 1 |
|
|
632 | 731 | |
|
|
633 | 732 | @property |
|
|
634 | 733 | def normFactor(self): |
|
|
635 | 734 | pwcode = 1 |
|
|
636 | 735 | if self.flagDecodeData: |
|
|
637 | 736 | pwcode = numpy.sum(self.code[0]**2) |
|
|
638 | 737 | |
|
|
639 | 738 | normFactor = self.nIncohInt * self.nCohInt * pwcode |
|
|
640 | 739 | |
|
|
641 | 740 | return normFactor |
|
|
642 | 741 | |
|
|
643 | 742 | @property |
|
|
644 | 743 | def timeInterval(self): |
|
|
645 | 744 | |
|
|
646 | 745 | return self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
647 | 746 | |
|
|
648 | 747 | |
|
|
649 | 748 | class Fits(JROData): |
|
|
650 | 749 | |
|
|
651 | 750 | def __init__(self): |
|
|
652 | 751 | |
|
|
653 | 752 | self.type = "Fits" |
|
|
654 | 753 | self.nProfiles = None |
|
|
655 | 754 | self.heightList = None |
|
|
656 | 755 | self.channelList = None |
|
|
657 | 756 | self.flagNoData = True |
|
|
658 | 757 | self.utctime = None |
|
|
659 | 758 | self.nCohInt = 1 |
|
|
660 | 759 | self.nIncohInt = 1 |
|
|
661 | 760 | self.useLocalTime = True |
|
|
662 | 761 | self.profileIndex = 0 |
|
|
663 | 762 | self.timeZone = 0 |
|
|
664 | 763 | |
|
|
665 | 764 | def getTimeRange(self): |
|
|
666 | 765 | |
|
|
667 | 766 | datatime = [] |
|
|
668 | 767 | |
|
|
669 | 768 | datatime.append(self.ltctime) |
|
|
670 | 769 | datatime.append(self.ltctime + self.timeInterval) |
|
|
671 | 770 | |
|
|
672 | 771 | datatime = numpy.array(datatime) |
|
|
673 | 772 | |
|
|
674 | 773 | return datatime |
|
|
675 | 774 | |
|
|
676 | 775 | def getChannelIndexList(self): |
|
|
677 | 776 | |
|
|
678 | 777 | return list(range(self.nChannels)) |
|
|
679 | 778 | |
|
|
680 | 779 | def getNoise(self, type=1): |
|
|
681 | 780 | |
|
|
682 | 781 | |
|
|
683 | 782 | if type == 1: |
|
|
684 | 783 | noise = self.getNoisebyHildebrand() |
|
|
685 | 784 | |
|
|
686 | 785 | if type == 2: |
|
|
687 | 786 | noise = self.getNoisebySort() |
|
|
688 | 787 | |
|
|
689 | 788 | if type == 3: |
|
|
690 | 789 | noise = self.getNoisebyWindow() |
|
|
691 | 790 | |
|
|
692 | 791 | return noise |
|
|
693 | 792 | |
|
|
694 | 793 | @property |
|
|
695 | 794 | def timeInterval(self): |
|
|
696 | 795 | |
|
|
697 | 796 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
698 | 797 | |
|
|
699 | 798 | return timeInterval |
|
|
700 | 799 | |
|
|
701 | 800 | @property |
|
|
702 | 801 | def ippSeconds(self): |
|
|
703 | 802 | ''' |
|
|
704 | 803 | ''' |
|
|
705 | 804 | return self.ipp_sec |
|
|
706 | 805 | |
|
|
707 | 806 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
708 | ||
|
|
807 | ||
|
|
709 | 808 | |
|
|
710 | 809 | class Correlation(JROData): |
|
|
711 | 810 | |
|
|
712 | 811 | def __init__(self): |
|
|
713 | 812 | ''' |
|
|
714 | 813 | Constructor |
|
|
715 | 814 | ''' |
|
|
716 | 815 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
717 | 816 | self.systemHeaderObj = SystemHeader() |
|
|
718 | 817 | self.type = "Correlation" |
|
|
719 | 818 | self.data = None |
|
|
720 | 819 | self.dtype = None |
|
|
721 | 820 | self.nProfiles = None |
|
|
722 | 821 | self.heightList = None |
|
|
723 | 822 | self.channelList = None |
|
|
724 | 823 | self.flagNoData = True |
|
|
725 | 824 | self.flagDiscontinuousBlock = False |
|
|
726 | 825 | self.utctime = None |
|
|
727 | 826 | self.timeZone = 0 |
|
|
728 | 827 | self.dstFlag = None |
|
|
729 | 828 | self.errorCount = None |
|
|
730 | 829 | self.blocksize = None |
|
|
731 | 830 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
732 | 831 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
733 | 832 | self.pairsList = None |
|
|
734 | 833 | self.nPoints = None |
|
|
735 | 834 | |
|
|
736 | 835 | def getPairsList(self): |
|
|
737 | 836 | |
|
|
738 | 837 | return self.pairsList |
|
|
739 | 838 | |
|
|
740 | 839 | def getNoise(self, mode=2): |
|
|
741 | 840 | |
|
|
742 | 841 | indR = numpy.where(self.lagR == 0)[0][0] |
|
|
743 | 842 | indT = numpy.where(self.lagT == 0)[0][0] |
|
|
744 | 843 | |
|
|
745 | 844 | jspectra0 = self.data_corr[:, :, indR, :] |
|
|
746 | 845 | jspectra = copy.copy(jspectra0) |
|
|
747 | 846 | |
|
|
748 | 847 | num_chan = jspectra.shape[0] |
|
|
749 | 848 | num_hei = jspectra.shape[2] |
|
|
750 | 849 | |
|
|
751 | 850 | freq_dc = jspectra.shape[1] / 2 |
|
|
752 | 851 | ind_vel = numpy.array([-2, -1, 1, 2]) + freq_dc |
|
|
753 | 852 | |
|
|
754 | 853 | if ind_vel[0] < 0: |
|
|
755 | 854 | ind_vel[list(range(0, 1))] = ind_vel[list( |
|
|
756 | 855 | range(0, 1))] + self.num_prof |
|
|
757 | 856 | |
|
|
758 | 857 | if mode == 1: |
|
|
759 | 858 | jspectra[:, freq_dc, :] = ( |
|
|
760 | 859 | jspectra[:, ind_vel[1], :] + jspectra[:, ind_vel[2], :]) / 2 # CORRECCION |
|
|
761 | 860 | |
|
|
762 | 861 | if mode == 2: |
|
|
763 | 862 | |
|
|
764 | 863 | vel = numpy.array([-2, -1, 1, 2]) |
|
|
765 | 864 | xx = numpy.zeros([4, 4]) |
|
|
766 | 865 | |
|
|
767 | 866 | for fil in range(4): |
|
|
768 | 867 | xx[fil, :] = vel[fil]**numpy.asarray(list(range(4))) |
|
|
769 | 868 | |
|
|
770 | 869 | xx_inv = numpy.linalg.inv(xx) |
|
|
771 | 870 | xx_aux = xx_inv[0, :] |
|
|
772 | 871 | |
|
|
773 | 872 | for ich in range(num_chan): |
|
|
774 | 873 | yy = jspectra[ich, ind_vel, :] |
|
|
775 | 874 | jspectra[ich, freq_dc, :] = numpy.dot(xx_aux, yy) |
|
|
776 | 875 | |
|
|
777 | 876 | junkid = jspectra[ich, freq_dc, :] <= 0 |
|
|
778 | 877 | cjunkid = sum(junkid) |
|
|
779 | 878 | |
|
|
780 | 879 | if cjunkid.any(): |
|
|
781 | 880 | jspectra[ich, freq_dc, junkid.nonzero()] = ( |
|
|
782 | 881 | jspectra[ich, ind_vel[1], junkid] + jspectra[ich, ind_vel[2], junkid]) / 2 |
|
|
783 | 882 | |
|
|
784 | 883 | noise = jspectra0[:, freq_dc, :] - jspectra[:, freq_dc, :] |
|
|
785 | 884 | |
|
|
786 | 885 | return noise |
|
|
787 | 886 | |
|
|
788 | 887 | @property |
|
|
789 | 888 | def timeInterval(self): |
|
|
790 | 889 | |
|
|
791 | 890 | return self.ippSeconds * self.nCohInt * self.nProfiles |
|
|
792 | 891 | |
|
|
793 | 892 | def splitFunctions(self): |
|
|
794 | 893 | |
|
|
795 | 894 | pairsList = self.pairsList |
|
|
796 | 895 | ccf_pairs = [] |
|
|
797 | 896 | acf_pairs = [] |
|
|
798 | 897 | ccf_ind = [] |
|
|
799 | 898 | acf_ind = [] |
|
|
800 | 899 | for l in range(len(pairsList)): |
|
|
801 | 900 | chan0 = pairsList[l][0] |
|
|
802 | 901 | chan1 = pairsList[l][1] |
|
|
803 | 902 | |
|
|
804 | 903 | # Obteniendo pares de Autocorrelacion |
|
|
805 | 904 | if chan0 == chan1: |
|
|
806 | 905 | acf_pairs.append(chan0) |
|
|
807 | 906 | acf_ind.append(l) |
|
|
808 | 907 | else: |
|
|
809 | 908 | ccf_pairs.append(pairsList[l]) |
|
|
810 | 909 | ccf_ind.append(l) |
|
|
811 | 910 | |
|
|
812 | 911 | data_acf = self.data_cf[acf_ind] |
|
|
813 | 912 | data_ccf = self.data_cf[ccf_ind] |
|
|
814 | 913 | |
|
|
815 | 914 | return acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf |
|
|
816 | 915 | |
|
|
817 | 916 | @property |
|
|
818 | 917 | def normFactor(self): |
|
|
819 | 918 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.splitFunctions() |
|
|
820 | 919 | acf_pairs = numpy.array(acf_pairs) |
|
|
821 | 920 | normFactor = numpy.zeros((self.nPairs, self.nHeights)) |
|
|
822 | 921 | |
|
|
823 | 922 | for p in range(self.nPairs): |
|
|
824 | 923 | pair = self.pairsList[p] |
|
|
825 | 924 | |
|
|
826 | 925 | ch0 = pair[0] |
|
|
827 | 926 | ch1 = pair[1] |
|
|
828 | 927 | |
|
|
829 | 928 | ch0_max = numpy.max(data_acf[acf_pairs == ch0, :, :], axis=1) |
|
|
830 | 929 | ch1_max = numpy.max(data_acf[acf_pairs == ch1, :, :], axis=1) |
|
|
831 | 930 | normFactor[p, :] = numpy.sqrt(ch0_max * ch1_max) |
|
|
832 | 931 | |
|
|
833 | 932 | return normFactor |
|
|
834 | 933 | |
|
|
835 | 934 | |
|
|
836 | 935 | class Parameters(Spectra): |
|
|
837 | 936 | |
|
|
838 | 937 | groupList = None # List of Pairs, Groups, etc |
|
|
839 | 938 | data_param = None # Parameters obtained |
|
|
840 | 939 | data_pre = None # Data Pre Parametrization |
|
|
841 | 940 | data_SNR = None # Signal to Noise Ratio |
|
|
842 | 941 | abscissaList = None # Abscissa, can be velocities, lags or time |
|
|
843 | 942 | utctimeInit = None # Initial UTC time |
|
|
844 | 943 | paramInterval = None # Time interval to calculate Parameters in seconds |
|
|
845 | 944 | useLocalTime = True |
|
|
846 | 945 | # Fitting |
|
|
847 | 946 | data_error = None # Error of the estimation |
|
|
848 | 947 | constants = None |
|
|
849 | 948 | library = None |
|
|
850 | 949 | # Output signal |
|
|
851 | 950 | outputInterval = None # Time interval to calculate output signal in seconds |
|
|
852 | 951 | data_output = None # Out signal |
|
|
853 | 952 | nAvg = None |
|
|
854 | 953 | noise_estimation = None |
|
|
855 | 954 | GauSPC = None # Fit gaussian SPC |
|
|
856 | 955 | |
|
|
857 | 956 | def __init__(self): |
|
|
858 | 957 | ''' |
|
|
859 | 958 | Constructor |
|
|
860 | 959 | ''' |
|
|
861 | 960 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
862 | 961 | self.systemHeaderObj = SystemHeader() |
|
|
863 | 962 | self.type = "Parameters" |
|
|
864 | 963 | self.timeZone = 0 |
|
|
865 | 964 | |
|
|
866 | 965 | def getTimeRange1(self, interval): |
|
|
867 | 966 | |
|
|
868 | 967 | datatime = [] |
|
|
869 | 968 | |
|
|
870 | 969 | if self.useLocalTime: |
|
|
871 | 970 | time1 = self.utctimeInit - self.timeZone * 60 |
|
|
872 | 971 | else: |
|
|
873 | 972 | time1 = self.utctimeInit |
|
|
874 | 973 | |
|
|
875 | 974 | datatime.append(time1) |
|
|
876 | 975 | datatime.append(time1 + interval) |
|
|
877 | 976 | datatime = numpy.array(datatime) |
|
|
878 | 977 | |
|
|
879 | 978 | return datatime |
|
|
880 | 979 | |
|
|
881 | 980 | @property |
|
|
882 | 981 | def timeInterval(self): |
|
|
883 | 982 | |
|
|
884 | 983 | if hasattr(self, 'timeInterval1'): |
|
|
885 | 984 | return self.timeInterval1 |
|
|
886 | 985 | else: |
|
|
887 | 986 | return self.paramInterval |
|
|
888 | 987 | |
|
|
988 | ||
|
|
889 | 989 | def setValue(self, value): |
|
|
890 | 990 | |
|
|
891 | 991 | print("This property should not be initialized") |
|
|
892 | 992 | |
|
|
893 | 993 | return |
|
|
894 | 994 | |
|
|
895 | 995 | def getNoise(self): |
|
|
896 | 996 | |
|
|
897 | 997 | return self.spc_noise |
|
|
898 | 998 | |
|
|
899 | 999 | noise = property(getNoise, setValue, "I'm the 'Noise' property.") |
|
|
900 | 1000 | |
|
|
901 | 1001 | |
|
|
902 | 1002 | class PlotterData(object): |
|
|
903 | 1003 | ''' |
|
|
904 | 1004 | Object to hold data to be plotted |
|
|
905 | 1005 | ''' |
|
|
906 | 1006 | |
|
|
907 | 1007 | MAXNUMX = 200 |
|
|
908 | 1008 | MAXNUMY = 200 |
|
|
909 | 1009 | |
|
|
910 | 1010 | def __init__(self, code, throttle_value, exp_code, localtime=True, buffering=True, snr=False): |
|
|
911 | 1011 | |
|
|
912 | 1012 | self.key = code |
|
|
913 | 1013 | self.throttle = throttle_value |
|
|
914 | 1014 | self.exp_code = exp_code |
|
|
915 | 1015 | self.buffering = buffering |
|
|
916 | 1016 | self.ready = False |
|
|
917 | 1017 | self.flagNoData = False |
|
|
918 | 1018 | self.localtime = localtime |
|
|
919 | 1019 | self.data = {} |
|
|
920 | 1020 | self.meta = {} |
|
|
921 | 1021 | self.__heights = [] |
|
|
922 | 1022 | |
|
|
923 | 1023 | if 'snr' in code: |
|
|
924 | 1024 | self.plottypes = ['snr'] |
|
|
925 | 1025 | elif code == 'spc': |
|
|
926 | 1026 | self.plottypes = ['spc', 'noise', 'rti'] |
|
|
927 | 1027 | elif code == 'cspc': |
|
|
928 | 1028 | self.plottypes = ['cspc', 'spc', 'noise', 'rti'] |
|
|
929 | 1029 | elif code == 'rti': |
|
|
930 | 1030 | self.plottypes = ['noise', 'rti'] |
|
|
1031 | elif code == 'crossprod': | |
|
|
1032 | self.plottypes = ['crossprod', 'kay'] | |
|
|
1033 | elif code == 'spectrogram': | |
|
|
1034 | self.plottypes = ['spc', 'spectrogram'] | |
|
|
931 | 1035 | else: |
|
|
932 | 1036 | self.plottypes = [code] |
|
|
933 | 1037 | |
|
|
934 | 1038 | if 'snr' not in self.plottypes and snr: |
|
|
935 | 1039 | self.plottypes.append('snr') |
|
|
936 | 1040 | |
|
|
937 | 1041 | for plot in self.plottypes: |
|
|
938 | 1042 | self.data[plot] = {} |
|
|
939 | 1043 | |
|
|
940 | 1044 | def __str__(self): |
|
|
941 | 1045 | dum = ['{}{}'.format(key, self.shape(key)) for key in self.data] |
|
|
942 | 1046 | return 'Data[{}][{}]'.format(';'.join(dum), len(self.times)) |
|
|
943 | 1047 | |
|
|
944 | 1048 | def __len__(self): |
|
|
945 | 1049 | return len(self.data[self.key]) |
|
|
946 | 1050 | |
|
|
947 | 1051 | def __getitem__(self, key): |
|
|
948 | 1052 | |
|
|
949 | 1053 | if key not in self.data: |
|
|
950 | 1054 | raise KeyError(log.error('Missing key: {}'.format(key))) |
|
|
951 | 1055 | if 'spc' in key or not self.buffering: |
|
|
952 | 1056 | ret = self.data[key][self.tm] |
|
|
953 | 1057 | elif 'scope' in key: |
|
|
954 | 1058 | ret = numpy.array(self.data[key][float(self.tm)]) |
|
|
955 | 1059 | else: |
|
|
956 | 1060 | ret = numpy.array([self.data[key][x] for x in self.times]) |
|
|
957 | 1061 | if ret.ndim > 1: |
|
|
958 | 1062 | ret = numpy.swapaxes(ret, 0, 1) |
|
|
959 | 1063 | return ret |
|
|
960 | 1064 | |
|
|
961 | 1065 | def __contains__(self, key): |
|
|
962 | 1066 | return key in self.data |
|
|
963 | 1067 | |
|
|
964 | 1068 | def setup(self): |
|
|
965 | 1069 | ''' |
|
|
966 | 1070 | Configure object |
|
|
967 | 1071 | ''' |
|
|
968 | 1072 | self.type = '' |
|
|
969 | 1073 | self.ready = False |
|
|
970 | 1074 | del self.data |
|
|
971 | 1075 | self.data = {} |
|
|
972 | 1076 | self.__heights = [] |
|
|
973 | 1077 | self.__all_heights = set() |
|
|
974 | 1078 | for plot in self.plottypes: |
|
|
975 | 1079 | if 'snr' in plot: |
|
|
976 | 1080 | plot = 'snr' |
|
|
977 | 1081 | elif 'spc_moments' == plot: |
|
|
978 | 1082 | plot = 'moments' |
|
|
1083 | elif 'spc_oblique' == plot: | |
|
|
1084 | plot = 'oblique' | |
|
|
979 | 1085 | self.data[plot] = {} |
|
|
980 | 1086 | |
|
|
981 | if 'spc' in self.data or 'rti' in self.data or 'cspc' in self.data or 'moments' in self.data: | |
|
|
1087 | if 'spc' in self.data or 'rti' in self.data or 'cspc' in self.data or 'moments' in self.data or 'oblique' in self.data: | |
|
|
982 | 1088 | self.data['noise'] = {} |
|
|
983 | 1089 | self.data['rti'] = {} |
|
|
984 | 1090 | if 'noise' not in self.plottypes: |
|
|
985 | 1091 | self.plottypes.append('noise') |
|
|
986 | 1092 | if 'rti' not in self.plottypes: |
|
|
987 | 1093 | self.plottypes.append('rti') |
|
|
988 | 1094 | |
|
|
989 | 1095 | def shape(self, key): |
|
|
990 | 1096 | ''' |
|
|
991 | 1097 | Get the shape of the one-element data for the given key |
|
|
992 | 1098 | ''' |
|
|
993 | 1099 | |
|
|
994 | 1100 | if len(self.data[key]): |
|
|
995 | 1101 | if 'spc' in key or not self.buffering: |
|
|
996 | 1102 | return self.data[key].shape |
|
|
997 | 1103 | return self.data[key][self.times[0]].shape |
|
|
998 | 1104 | return (0,) |
|
|
999 | 1105 | |
|
|
1000 | 1106 | def update(self, dataOut, tm): |
|
|
1001 | 1107 | ''' |
|
|
1002 | 1108 | Update data object with new dataOut |
|
|
1003 | 1109 | ''' |
|
|
1004 | 1110 | |
|
|
1005 | 1111 | self.profileIndex = dataOut.profileIndex |
|
|
1006 | 1112 | self.tm = tm |
|
|
1007 | 1113 | self.type = dataOut.type |
|
|
1008 | 1114 | self.parameters = getattr(dataOut, 'parameters', []) |
|
|
1009 | 1115 | |
|
|
1010 | 1116 | if hasattr(dataOut, 'meta'): |
|
|
1011 | 1117 | self.meta.update(dataOut.meta) |
|
|
1012 | 1118 | |
|
|
1013 | 1119 | if hasattr(dataOut, 'pairsList'): |
|
|
1014 | 1120 | self.pairs = dataOut.pairsList |
|
|
1015 | 1121 | |
|
|
1016 | 1122 | self.interval = dataOut.timeInterval |
|
|
1017 | 1123 | if True in ['spc' in ptype for ptype in self.plottypes]: |
|
|
1018 | 1124 | self.xrange = (dataOut.getFreqRange(1)/1000., |
|
|
1019 | 1125 | dataOut.getAcfRange(1), dataOut.getVelRange(1)) |
|
|
1020 | 1126 | self.__heights.append(dataOut.heightList) |
|
|
1021 | 1127 | self.__all_heights.update(dataOut.heightList) |
|
|
1022 | 1128 | |
|
|
1129 | ||
|
|
1130 | ||
|
|
1023 | 1131 | for plot in self.plottypes: |
|
|
1024 | if plot in ('spc', 'spc_moments', 'spc_cut'): | |
|
|
1132 | if plot in ('spc', 'spc_moments', 'spc_cut', 'spc_oblique'): | |
|
|
1133 | ||
|
|
1134 | ||
|
|
1135 | self.shift1 = dataOut.Oblique_params[0][1] | |
|
|
1136 | self.shift2 = dataOut.Oblique_params[0][4] | |
|
|
1137 | self.shift1_error = dataOut.Oblique_param_errors[0][1] | |
|
|
1138 | self.shift2_error = dataOut.Oblique_param_errors[0][4] | |
|
|
1139 | ||
|
|
1025 | 1140 | z = dataOut.data_spc/dataOut.normFactor |
|
|
1141 | #print(dataOut.normFactor) | |
|
|
1142 | #print(z[0,3,15]) | |
|
|
1143 | #print("here") | |
|
|
1144 | #print(dataOut.data_spc[0,0,0]) | |
|
|
1145 | #exit() | |
|
|
1026 | 1146 | buffer = 10*numpy.log10(z) |
|
|
1027 | 1147 | if plot == 'cspc': |
|
|
1028 | 1148 | buffer = (dataOut.data_spc, dataOut.data_cspc) |
|
|
1149 | self.nFactor=dataOut.normFactor | |
|
|
1029 | 1150 | if plot == 'noise': |
|
|
1030 | 1151 | buffer = 10*numpy.log10(dataOut.getNoise()/dataOut.normFactor) |
|
|
1031 | 1152 | if plot in ('rti', 'spcprofile'): |
|
|
1032 | 1153 | buffer = dataOut.getPower() |
|
|
1154 | #print(buffer[0,0]) | |
|
|
1155 | #exit() | |
|
|
1033 | 1156 | if plot == 'snr_db': |
|
|
1034 | 1157 | buffer = dataOut.data_SNR |
|
|
1035 | 1158 | if plot == 'snr': |
|
|
1036 | 1159 | buffer = 10*numpy.log10(dataOut.data_SNR) |
|
|
1037 | 1160 | if plot == 'dop': |
|
|
1038 | 1161 | buffer = dataOut.data_DOP |
|
|
1039 | 1162 | if plot == 'pow': |
|
|
1040 | 1163 | buffer = 10*numpy.log10(dataOut.data_POW) |
|
|
1041 | 1164 | if plot == 'width': |
|
|
1042 | 1165 | buffer = dataOut.data_WIDTH |
|
|
1043 | 1166 | if plot == 'coh': |
|
|
1044 | 1167 | buffer = dataOut.getCoherence() |
|
|
1045 | 1168 | if plot == 'phase': |
|
|
1046 | 1169 | buffer = dataOut.getCoherence(phase=True) |
|
|
1047 | 1170 | if plot == 'output': |
|
|
1048 | 1171 | buffer = dataOut.data_output |
|
|
1049 | 1172 | if plot == 'param': |
|
|
1050 | 1173 | buffer = dataOut.data_param |
|
|
1174 | if plot == 'spectrogram': | |
|
|
1175 | maxHei = 1350 #11 | |
|
|
1176 | #maxHei = 2500 | |
|
|
1177 | maxHei = 0 | |
|
|
1178 | #maxHei = 990 #12 | |
|
|
1179 | ###maxHei = 990 | |
|
|
1180 | indb = numpy.where(dataOut.heightList <= maxHei) | |
|
|
1181 | hei = indb[0][-1] | |
|
|
1182 | #hei = 19 | |
|
|
1183 | print(hei) | |
|
|
1184 | #hei = 0 | |
|
|
1185 | factor = dataOut.nIncohInt | |
|
|
1186 | #print(factor) | |
|
|
1187 | ||
|
|
1188 | #exit(1) | |
|
|
1189 | z = dataOut.data_spc[:,:,hei] / factor | |
|
|
1190 | ||
|
|
1191 | #for j in range(z.shape[1]): | |
|
|
1192 | #z[:,j] = z[:,j]/hildebrand_sekhon(z[], self.nCohInt) | |
|
|
1193 | ||
|
|
1194 | ##z = z/hildebrand_sekhon(z, factor) | |
|
|
1195 | noise = numpy.zeros(dataOut.nChannels) | |
|
|
1196 | for i in range(dataOut.nChannels): | |
|
|
1197 | #daux = numpy.sort(pair0[i,:,:],axis= None) | |
|
|
1198 | noise[i]=hildebrand_sekhon( z[i,:] ,dataOut.nIncohInt) | |
|
|
1199 | #for j in range(z.shape[1]): | |
|
|
1200 | #z[:,j] = z[:,j]/noise | |
|
|
1201 | ||
|
|
1202 | #print(z.shape[1]) | |
|
|
1203 | norm_factor = numpy.copy(z[:,int(z.shape[1]/2)])#/z[:,int(z.shape[1]/2)])*8000 | |
|
|
1204 | #print(norm_factor) | |
|
|
1205 | #print(z[0,315:325]) | |
|
|
1206 | #norm_factor = norm_factor.reshape((z.shape[0],z.shape[1])) | |
|
|
1207 | #print(norm_factor) | |
|
|
1208 | #exit(1) | |
|
|
1209 | #print(z.shape[1]) | |
|
|
1210 | ||
|
|
1211 | #for j in range(z.shape[1]): | |
|
|
1212 | #z[:,j] = z[:,j]/norm_factor | |
|
|
1213 | ||
|
|
1214 | #print(z[0,315:325]) | |
|
|
1215 | #exit(1) | |
|
|
1216 | ||
|
|
1217 | #z = numpy.mean(dataOut.data_spc[:,:,:],axis=2) / factor | |
|
|
1218 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
|
|
1219 | #avg = numpy.average(z, axis=1) | |
|
|
1220 | #print((dataOut.data_spc.shape)) | |
|
|
1221 | #exit(1) | |
|
|
1222 | self.hei = hei | |
|
|
1223 | self.heightList = dataOut.heightList | |
|
|
1224 | self.DH = (dataOut.heightList[1] - dataOut.heightList[0])/dataOut.step | |
|
|
1225 | self.nProfiles = dataOut.nProfiles | |
|
|
1226 | #print(dataOut.heightList) | |
|
|
1227 | ||
|
|
1228 | ||
|
|
1229 | buffer = 10 * numpy.log10(z) | |
|
|
1230 | ||
|
|
1231 | ||
|
|
1232 | ###buffer = z | |
|
|
1233 | import matplotlib.pyplot as plt | |
|
|
1234 | fig, axes = plt.subplots(figsize=(14, 10)) | |
|
|
1235 | x = numpy.linspace(0,20,numpy.shape(buffer)[1]) | |
|
|
1236 | x = numpy.fft.fftfreq(numpy.shape(buffer)[1],0.00001) | |
|
|
1237 | x = numpy.fft.fftshift(x) | |
|
|
1238 | ||
|
|
1239 | plt.plot(x,buffer[0,:]) | |
|
|
1240 | axes = plt.gca() | |
|
|
1241 | axes.set_xlim([-10000,10000]) | |
|
|
1242 | ||
|
|
1243 | #axes.set_xlim([0,30000]) | |
|
|
1244 | #axes.set_ylim([-100,0.0025*1e10]) | |
|
|
1245 | plt.show() | |
|
|
1246 | import time | |
|
|
1247 | #time.sleep(20) | |
|
|
1248 | #exit(1) | |
|
|
1249 | ||
|
|
1250 | ||
|
|
1251 | ||
|
|
1252 | #if dataOut.profileIndex | |
|
|
1253 | ||
|
|
1254 | if plot == 'xmit': | |
|
|
1255 | y_1=numpy.arctan2(dataOut.output_LP[:,0,2].imag,dataOut.output_LP[:,0,2].real)* 180 / (numpy.pi*10) | |
|
|
1256 | y_2=numpy.abs(dataOut.output_LP[:,0,2]) | |
|
|
1257 | norm=numpy.max(y_2) | |
|
|
1258 | norm=max(norm,0.1) | |
|
|
1259 | y_2=y_2/norm | |
|
|
1260 | ||
|
|
1261 | buffer = numpy.vstack((y_1,y_2)) | |
|
|
1262 | self.NLAG = dataOut.NLAG | |
|
|
1263 | ||
|
|
1264 | if plot == 'crossprod': | |
|
|
1265 | buffer = dataOut.crossprods | |
|
|
1266 | self.NDP = dataOut.NDP | |
|
|
1267 | ||
|
|
1268 | if plot == 'crossprodlp': | |
|
|
1269 | buffer = 10*numpy.log10(numpy.abs(dataOut.output_LP)) | |
|
|
1270 | self.NRANGE = dataOut.NRANGE | |
|
|
1271 | self.NLAG = dataOut.NLAG | |
|
|
1272 | ||
|
|
1273 | ||
|
|
1274 | if plot == 'noisedp': | |
|
|
1275 | buffer = 10*numpy.log10(dataOut.noise_final) | |
|
|
1276 | #print(buffer) | |
|
|
1277 | ||
|
|
1278 | if plot == 'FaradayAngle': | |
|
|
1279 | buffer = numpy.degrees(dataOut.phi) | |
|
|
1280 | #print(buffer) | |
|
|
1281 | ||
|
|
1282 | if plot == 'RTIDP': | |
|
|
1283 | buffer = dataOut.data_for_RTI_DP | |
|
|
1284 | self.NDP = dataOut.NDP | |
|
|
1285 | ||
|
|
1286 | if plot == 'RTILP': | |
|
|
1287 | buffer = dataOut.data_for_RTI_LP | |
|
|
1288 | self.NRANGE = dataOut.NRANGE | |
|
|
1289 | ||
|
|
1290 | ||
|
|
1291 | if plot == 'denrti': | |
|
|
1292 | buffer = dataOut.DensityFinal | |
|
|
1293 | ||
|
|
1294 | ||
|
|
1295 | if plot == 'denrtiLP': | |
|
|
1296 | ||
|
|
1297 | #buffer = numpy.reshape(numpy.concatenate((dataOut.ph2[:dataOut.cut],dataOut.ne[dataOut.cut:dataOut.NACF])),(1,-1)) | |
|
|
1298 | buffer = dataOut.DensityFinal | |
|
|
1299 | #self.flagDataAsBlock = dataOut.flagDataAsBlock | |
|
|
1300 | #self.NDP = dataOut.NDP | |
|
|
1301 | if plot == 'den': | |
|
|
1302 | buffer = dataOut.ph2[:dataOut.NSHTS] | |
|
|
1303 | self.dphi=dataOut.dphi[:dataOut.NSHTS] | |
|
|
1304 | self.sdp2=dataOut.sdp2[:dataOut.NSHTS] | |
|
|
1305 | self.sdn1=dataOut.sdn1[:dataOut.NSHTS]#/self.dphi | |
|
|
1306 | self.NSHTS=dataOut.NSHTS | |
|
|
1307 | ''' | |
|
|
1308 | flag1=False | |
|
|
1309 | flag0=True | |
|
|
1310 | for i in range(12,dataOut.NSHTS): | |
|
|
1311 | print("H: ",i*15) | |
|
|
1312 | print(abs((dataOut.sdn1[i]/(dataOut.dphi[i]**2))*100)) | |
|
|
1313 | if flag0: | |
|
|
1314 | if abs((dataOut.sdn1[i]/dataOut.dphi[i]))<0.0005*abs(dataOut.dphi[i]): | |
|
|
1315 | print("***************************** FIRST: ",(i)*15,"*****************************") | |
|
|
1316 | flag1=True | |
|
|
1317 | flag0=False | |
|
|
1318 | #pass | |
|
|
1319 | #print("****************************************GOOD****************************************") | |
|
|
1320 | #else: | |
|
|
1321 | #print("****************************************",(i-1)*15,"****************************************") | |
|
|
1322 | #break | |
|
|
1323 | if flag1: | |
|
|
1324 | if abs((dataOut.sdn1[i]/dataOut.dphi[i]))>0.0005*abs(dataOut.dphi[i]): | |
|
|
1325 | print("***************************** LAST: ",(i-1)*15,"*****************************") | |
|
|
1326 | break | |
|
|
1327 | #print("H: ",i*15) | |
|
|
1328 | #print(dataOut.sdn1[i]) | |
|
|
1329 | ''' | |
|
|
1330 | if plot == 'denLP': | |
|
|
1331 | buffer = dataOut.ph2[:dataOut.NSHTS] | |
|
|
1332 | self.dphi=dataOut.dphi[:dataOut.NSHTS] | |
|
|
1333 | self.sdp2=dataOut.sdp2[:dataOut.NSHTS] | |
|
|
1334 | self.ne=dataOut.ne[:dataOut.NACF] | |
|
|
1335 | self.ene=dataOut.ene[:dataOut.NACF]*dataOut.ne[:dataOut.NACF]*0.434 | |
|
|
1336 | #self.ene=10**dataOut.ene[:dataOut.NACF] | |
|
|
1337 | self.NSHTS=dataOut.NSHTS | |
|
|
1338 | self.cut=dataOut.cut | |
|
|
1339 | ||
|
|
1340 | if plot == 'ETemp': | |
|
|
1341 | #buffer = dataOut.ElecTempClean | |
|
|
1342 | buffer = dataOut.ElecTempFinal | |
|
|
1343 | if plot == 'ITemp': | |
|
|
1344 | #buffer = dataOut.IonTempClean | |
|
|
1345 | buffer = dataOut.IonTempFinal | |
|
|
1346 | if plot == 'ETempLP': | |
|
|
1347 | #buffer = dataOut.IonTempClean | |
|
|
1348 | #buffer = numpy.reshape(numpy.concatenate((dataOut.te2[:dataOut.cut],dataOut.te[dataOut.cut:])),(1,-1)) | |
|
|
1349 | buffer = dataOut.ElecTempFinal | |
|
|
1350 | #print(buffer) | |
|
|
1351 | if plot == 'ITempLP': | |
|
|
1352 | #buffer = dataOut.IonTempClean | |
|
|
1353 | #buffer = numpy.reshape(numpy.concatenate((dataOut.ti2[:dataOut.cut],dataOut.ti[dataOut.cut:])),(1,-1)) | |
|
|
1354 | buffer = dataOut.IonTempFinal | |
|
|
1355 | ||
|
|
1356 | if plot == 'HFracLP': | |
|
|
1357 | #buffer = dataOut.IonTempClean | |
|
|
1358 | #buffer = numpy.reshape(numpy.concatenate((dataOut.phy2[:dataOut.cut],dataOut.ph[dataOut.cut:])),(1,-1)) | |
|
|
1359 | buffer = dataOut.PhyFinal | |
|
|
1360 | if plot == 'HeFracLP': | |
|
|
1361 | #buffer = dataOut.IonTempClean | |
|
|
1362 | #nan_array=numpy.empty((dataOut.cut)) | |
|
|
1363 | #nan_array[:]=numpy.nan | |
|
|
1364 | #buffer = numpy.reshape(numpy.concatenate((nan_array,dataOut.phe[dataOut.cut:])),(1,-1)) | |
|
|
1365 | buffer = dataOut.PheFinal | |
|
|
1366 | ||
|
|
1367 | ||
|
|
1368 | ||
|
|
1369 | ||
|
|
1370 | ||
|
|
1371 | if plot =='acfs': | |
|
|
1372 | buffer = dataOut.acfs_to_plot | |
|
|
1373 | self.acfs_error_to_plot=dataOut.acfs_error_to_plot | |
|
|
1374 | self.lags_to_plot=dataOut.lags_to_plot | |
|
|
1375 | self.x_igcej_to_plot=dataOut.x_igcej_to_plot | |
|
|
1376 | self.x_ibad_to_plot=dataOut.x_ibad_to_plot | |
|
|
1377 | self.y_igcej_to_plot=dataOut.y_igcej_to_plot | |
|
|
1378 | self.y_ibad_to_plot=dataOut.y_ibad_to_plot | |
|
|
1379 | self.NSHTS = dataOut.NSHTS | |
|
|
1380 | self.DPL = dataOut.DPL | |
|
|
1381 | if plot =='acfs_LP': | |
|
|
1382 | ||
|
|
1383 | aux=numpy.zeros((dataOut.NACF,dataOut.IBITS),'float32') | |
|
|
1384 | self.errors=numpy.zeros((dataOut.NACF,dataOut.IBITS),'float32') | |
|
|
1385 | self.lags_LP_to_plot=numpy.zeros((dataOut.NACF,dataOut.IBITS),'float32') | |
|
|
1386 | ''' | |
|
|
1387 | for i in range(dataOut.NACF): | |
|
|
1388 | for j in range(dataOut.IBITS): | |
|
|
1389 | aux[i,j]=dataOut.fit_array_real[i,j]/dataOut.fit_array_real[i,0] | |
|
|
1390 | aux[i,j]=max(min(aux[i,j],1.0),-1.0)*dataOut.DH+dataOut.heightList[i] | |
|
|
1391 | ''' | |
|
|
1392 | for i in range(dataOut.NACF): | |
|
|
1393 | for j in range(dataOut.IBITS): | |
|
|
1394 | if numpy.abs(dataOut.errors[j,i]/dataOut.output_LP_integrated.real[0,i,0])<1.0: | |
|
|
1395 | aux[i,j]=dataOut.output_LP_integrated.real[j,i,0]/dataOut.output_LP_integrated.real[0,i,0] | |
|
|
1396 | aux[i,j]=max(min(aux[i,j],1.0),-1.0)*dataOut.DH+dataOut.heightList[i] | |
|
|
1397 | self.lags_LP_to_plot[i,j]=dataOut.lags_LP[j] | |
|
|
1398 | self.errors[i,j]=dataOut.errors[j,i]/dataOut.output_LP_integrated.real[0,i,0]*dataOut.DH | |
|
|
1399 | else: | |
|
|
1400 | aux[i,j]=numpy.nan | |
|
|
1401 | self.lags_LP_to_plot[i,j]=numpy.nan | |
|
|
1402 | self.errors[i,j]=numpy.nan | |
|
|
1403 | ||
|
|
1404 | ||
|
|
1405 | ||
|
|
1406 | buffer = aux | |
|
|
1407 | ||
|
|
1408 | #self.lags_LP_to_plot=dataOut.lags_LP | |
|
|
1409 | ||
|
|
1410 | self.NACF = dataOut.NACF | |
|
|
1411 | self.NLAG = dataOut.NLAG | |
|
|
1412 | ||
|
|
1413 | if plot == 'tempsDP': | |
|
|
1414 | ||
|
|
1415 | buffer = dataOut.te2 | |
|
|
1416 | self.ete2 = dataOut.ete2 | |
|
|
1417 | self.ti2 = dataOut.ti2 | |
|
|
1418 | self.eti2 = dataOut.eti2 | |
|
|
1419 | ||
|
|
1420 | self.NSHTS = dataOut.NSHTS | |
|
|
1421 | ||
|
|
1422 | if plot == 'temps_LP': | |
|
|
1423 | ||
|
|
1424 | buffer = numpy.concatenate((dataOut.te2[:dataOut.cut],dataOut.te[dataOut.cut:])) | |
|
|
1425 | self.ete = numpy.concatenate((dataOut.ete2[:dataOut.cut],dataOut.ete[dataOut.cut:])) | |
|
|
1426 | self.ti = numpy.concatenate((dataOut.ti2[:dataOut.cut],dataOut.ti[dataOut.cut:])) | |
|
|
1427 | self.eti = numpy.concatenate((dataOut.eti2[:dataOut.cut],dataOut.eti[dataOut.cut:])) | |
|
|
1428 | ||
|
|
1429 | self.NACF = dataOut.NACF | |
|
|
1430 | ||
|
|
1431 | ||
|
|
1432 | if plot == 'fracs_LP': | |
|
|
1433 | ||
|
|
1434 | aux_nan=numpy.zeros(dataOut.cut,'float32') | |
|
|
1435 | aux_nan[:]=numpy.nan | |
|
|
1436 | buffer = numpy.concatenate((aux_nan,dataOut.ph[dataOut.cut:])) | |
|
|
1437 | self.eph = numpy.concatenate((aux_nan,dataOut.eph[dataOut.cut:])) | |
|
|
1438 | self.phe = dataOut.phe[dataOut.cut:] | |
|
|
1439 | self.ephe = dataOut.ephe[dataOut.cut:] | |
|
|
1440 | ||
|
|
1441 | self.NACF = dataOut.NACF | |
|
|
1442 | self.cut = dataOut.cut | |
|
|
1443 | ||
|
|
1444 | ||
|
|
1051 | 1445 | if plot == 'scope': |
|
|
1052 | 1446 | buffer = dataOut.data |
|
|
1053 | 1447 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1054 | 1448 | self.nProfiles = dataOut.nProfiles |
|
|
1055 | 1449 | if plot == 'pp_power': |
|
|
1056 | 1450 | buffer = dataOut.dataPP_POWER |
|
|
1057 | 1451 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1058 | 1452 | self.nProfiles = dataOut.nProfiles |
|
|
1059 | 1453 | if plot == 'pp_signal': |
|
|
1060 | 1454 | buffer = dataOut.dataPP_POW |
|
|
1061 | 1455 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1062 | 1456 | self.nProfiles = dataOut.nProfiles |
|
|
1063 | 1457 | if plot == 'pp_velocity': |
|
|
1064 | 1458 | buffer = dataOut.dataPP_DOP |
|
|
1065 | 1459 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1066 | 1460 | self.nProfiles = dataOut.nProfiles |
|
|
1067 | 1461 | if plot == 'pp_specwidth': |
|
|
1068 | 1462 | buffer = dataOut.dataPP_WIDTH |
|
|
1069 | 1463 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1070 | 1464 | self.nProfiles = dataOut.nProfiles |
|
|
1071 | 1465 | |
|
|
1072 | 1466 | if plot == 'spc': |
|
|
1073 | 1467 | self.data['spc'][tm] = buffer |
|
|
1074 | 1468 | elif plot == 'cspc': |
|
|
1075 | 1469 | self.data['cspc'][tm] = buffer |
|
|
1076 | 1470 | elif plot == 'spc_moments': |
|
|
1077 | 1471 | self.data['spc'][tm] = buffer |
|
|
1078 | 1472 | self.data['moments'][tm] = dataOut.moments |
|
|
1473 | elif plot == 'spc_oblique': | |
|
|
1474 | self.data['spc'][tm] = buffer | |
|
|
1475 | self.data['shift1'][tm] = dataOut.Oblique_params[0] | |
|
|
1476 | self.data['shift2'][tm] = dataOut.Oblique_params[3] | |
|
|
1079 | 1477 | else: |
|
|
1080 | 1478 | if self.buffering: |
|
|
1081 | 1479 | self.data[plot][tm] = buffer |
|
|
1082 | 1480 | else: |
|
|
1083 | 1481 | self.data[plot][tm] = buffer |
|
|
1084 | 1482 | |
|
|
1085 | 1483 | if dataOut.channelList is None: |
|
|
1086 | 1484 | self.channels = range(buffer.shape[0]) |
|
|
1087 | 1485 | else: |
|
|
1088 | 1486 | self.channels = dataOut.channelList |
|
|
1089 | 1487 | |
|
|
1090 | 1488 | if buffer is None: |
|
|
1091 | 1489 | self.flagNoData = True |
|
|
1092 | 1490 | raise schainpy.admin.SchainWarning('Attribute data_{} is empty'.format(self.key)) |
|
|
1093 | 1491 | |
|
|
1094 | 1492 | def normalize_heights(self): |
|
|
1095 | 1493 | ''' |
|
|
1096 | 1494 | Ensure same-dimension of the data for different heighList |
|
|
1097 | 1495 | ''' |
|
|
1098 | 1496 | |
|
|
1099 | 1497 | H = numpy.array(list(self.__all_heights)) |
|
|
1100 | 1498 | H.sort() |
|
|
1101 | 1499 | for key in self.data: |
|
|
1102 | 1500 | shape = self.shape(key)[:-1] + H.shape |
|
|
1103 | 1501 | for tm, obj in list(self.data[key].items()): |
|
|
1104 | 1502 | h = self.__heights[self.times.tolist().index(tm)] |
|
|
1105 | 1503 | if H.size == h.size: |
|
|
1106 | 1504 | continue |
|
|
1107 | 1505 | index = numpy.where(numpy.in1d(H, h))[0] |
|
|
1108 | 1506 | dummy = numpy.zeros(shape) + numpy.nan |
|
|
1109 | 1507 | if len(shape) == 2: |
|
|
1110 | 1508 | dummy[:, index] = obj |
|
|
1111 | 1509 | else: |
|
|
1112 | 1510 | dummy[index] = obj |
|
|
1113 | 1511 | self.data[key][tm] = dummy |
|
|
1114 | 1512 | |
|
|
1115 | 1513 | self.__heights = [H for tm in self.times] |
|
|
1116 | 1514 | |
|
|
1117 | 1515 | def jsonify(self, tm, plot_name, plot_type, decimate=False): |
|
|
1118 | 1516 | ''' |
|
|
1119 | 1517 | Convert data to json |
|
|
1120 | 1518 | ''' |
|
|
1121 | 1519 | |
|
|
1122 | 1520 | dy = int(self.heights.size/self.MAXNUMY) + 1 |
|
|
1123 | 1521 | if self.key in ('spc', 'cspc'): |
|
|
1124 | 1522 | dx = int(self.data[self.key][tm].shape[1]/self.MAXNUMX) + 1 |
|
|
1125 | 1523 | data = self.roundFloats( |
|
|
1126 | 1524 | self.data[self.key][tm][::, ::dx, ::dy].tolist()) |
|
|
1127 | 1525 | else: |
|
|
1128 | 1526 | if self.key is 'noise': |
|
|
1129 | 1527 | data = [[x] for x in self.roundFloats(self.data[self.key][tm].tolist())] |
|
|
1130 | 1528 | else: |
|
|
1131 | 1529 | data = self.roundFloats(self.data[self.key][tm][::, ::dy].tolist()) |
|
|
1132 | 1530 | |
|
|
1133 | 1531 | meta = {} |
|
|
1134 | 1532 | ret = { |
|
|
1135 | 1533 | 'plot': plot_name, |
|
|
1136 | 1534 | 'code': self.exp_code, |
|
|
1137 | 1535 | 'time': float(tm), |
|
|
1138 | 1536 | 'data': data, |
|
|
1139 | 1537 | } |
|
|
1140 | 1538 | meta['type'] = plot_type |
|
|
1141 | 1539 | meta['interval'] = float(self.interval) |
|
|
1142 | 1540 | meta['localtime'] = self.localtime |
|
|
1143 | 1541 | meta['yrange'] = self.roundFloats(self.heights[::dy].tolist()) |
|
|
1542 | ||
|
|
1144 | 1543 | if 'spc' in self.data or 'cspc' in self.data: |
|
|
1145 | 1544 | meta['xrange'] = self.roundFloats(self.xrange[2][::dx].tolist()) |
|
|
1146 | 1545 | else: |
|
|
1147 | 1546 | meta['xrange'] = [] |
|
|
1148 | 1547 | |
|
|
1149 | 1548 | meta.update(self.meta) |
|
|
1150 | 1549 | ret['metadata'] = meta |
|
|
1151 | 1550 | return json.dumps(ret) |
|
|
1152 | 1551 | |
|
|
1153 | 1552 | @property |
|
|
1154 | 1553 | def times(self): |
|
|
1155 | 1554 | ''' |
|
|
1156 | 1555 | Return the list of times of the current data |
|
|
1157 | 1556 | ''' |
|
|
1158 | 1557 | |
|
|
1159 | 1558 | ret = numpy.array([t for t in self.data[self.key]]) |
|
|
1160 | 1559 | if self: |
|
|
1161 | 1560 | ret.sort() |
|
|
1162 | 1561 | return ret |
|
|
1163 | 1562 | |
|
|
1164 | 1563 | @property |
|
|
1165 | 1564 | def min_time(self): |
|
|
1166 | 1565 | ''' |
|
|
1167 | 1566 | Return the minimun time value |
|
|
1168 | 1567 | ''' |
|
|
1169 | 1568 | |
|
|
1170 | 1569 | return self.times[0] |
|
|
1171 | 1570 | |
|
|
1172 | 1571 | @property |
|
|
1173 | 1572 | def max_time(self): |
|
|
1174 | 1573 | ''' |
|
|
1175 | 1574 | Return the maximun time value |
|
|
1176 | 1575 | ''' |
|
|
1177 | 1576 | |
|
|
1178 | 1577 | return self.times[-1] |
|
|
1179 | 1578 | |
|
|
1180 | 1579 | @property |
|
|
1181 | 1580 | def heights(self): |
|
|
1182 | 1581 | ''' |
|
|
1183 | 1582 | Return the list of heights of the current data |
|
|
1184 | 1583 | ''' |
|
|
1185 | 1584 | |
|
|
1186 | 1585 | return numpy.array(self.__heights[-1]) |
|
|
1187 | 1586 | |
|
|
1188 | 1587 | @staticmethod |
|
|
1189 | 1588 | def roundFloats(obj): |
|
|
1190 | 1589 | if isinstance(obj, list): |
|
|
1191 | 1590 | return list(map(PlotterData.roundFloats, obj)) |
|
|
1192 | 1591 | elif isinstance(obj, float): |
|
|
1193 | 1592 | return round(obj, 2) |
| @@ -1,906 +1,909 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: murco $ |
|
|
4 | 4 | $Id: JROHeaderIO.py 151 2012-10-31 19:00:51Z murco $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import sys |
|
|
7 | 7 | import numpy |
|
|
8 | 8 | import copy |
|
|
9 | 9 | import datetime |
|
|
10 | 10 | import inspect |
|
|
11 | 11 | from schainpy.utils import log |
|
|
12 | 12 | |
|
|
13 | 13 | SPEED_OF_LIGHT = 299792458 |
|
|
14 | 14 | SPEED_OF_LIGHT = 3e8 |
|
|
15 | 15 | |
|
|
16 | 16 | BASIC_STRUCTURE = numpy.dtype([ |
|
|
17 | 17 | ('nSize', '<u4'), |
|
|
18 | 18 | ('nVersion', '<u2'), |
|
|
19 | 19 | ('nDataBlockId', '<u4'), |
|
|
20 | 20 | ('nUtime', '<u4'), |
|
|
21 | 21 | ('nMilsec', '<u2'), |
|
|
22 | 22 | ('nTimezone', '<i2'), |
|
|
23 | 23 | ('nDstflag', '<i2'), |
|
|
24 | 24 | ('nErrorCount', '<u4') |
|
|
25 | 25 | ]) |
|
|
26 | 26 | |
|
|
27 | 27 | SYSTEM_STRUCTURE = numpy.dtype([ |
|
|
28 | 28 | ('nSize', '<u4'), |
|
|
29 | 29 | ('nNumSamples', '<u4'), |
|
|
30 | 30 | ('nNumProfiles', '<u4'), |
|
|
31 | 31 | ('nNumChannels', '<u4'), |
|
|
32 | 32 | ('nADCResolution', '<u4'), |
|
|
33 | 33 | ('nPCDIOBusWidth', '<u4'), |
|
|
34 | 34 | ]) |
|
|
35 | 35 | |
|
|
36 | 36 | RADAR_STRUCTURE = numpy.dtype([ |
|
|
37 | 37 | ('nSize', '<u4'), |
|
|
38 | 38 | ('nExpType', '<u4'), |
|
|
39 | 39 | ('nNTx', '<u4'), |
|
|
40 | 40 | ('fIpp', '<f4'), |
|
|
41 | 41 | ('fTxA', '<f4'), |
|
|
42 | 42 | ('fTxB', '<f4'), |
|
|
43 | 43 | ('nNumWindows', '<u4'), |
|
|
44 | 44 | ('nNumTaus', '<u4'), |
|
|
45 | 45 | ('nCodeType', '<u4'), |
|
|
46 | 46 | ('nLine6Function', '<u4'), |
|
|
47 | 47 | ('nLine5Function', '<u4'), |
|
|
48 | 48 | ('fClock', '<f4'), |
|
|
49 | 49 | ('nPrePulseBefore', '<u4'), |
|
|
50 | 50 | ('nPrePulseAfter', '<u4'), |
|
|
51 | 51 | ('sRangeIPP', '<a20'), |
|
|
52 | 52 | ('sRangeTxA', '<a20'), |
|
|
53 | 53 | ('sRangeTxB', '<a20'), |
|
|
54 | 54 | ]) |
|
|
55 | 55 | |
|
|
56 | 56 | SAMPLING_STRUCTURE = numpy.dtype( |
|
|
57 | 57 | [('h0', '<f4'), ('dh', '<f4'), ('nsa', '<u4')]) |
|
|
58 | 58 | |
|
|
59 | 59 | |
|
|
60 | 60 | PROCESSING_STRUCTURE = numpy.dtype([ |
|
|
61 | 61 | ('nSize', '<u4'), |
|
|
62 | 62 | ('nDataType', '<u4'), |
|
|
63 | 63 | ('nSizeOfDataBlock', '<u4'), |
|
|
64 | 64 | ('nProfilesperBlock', '<u4'), |
|
|
65 | 65 | ('nDataBlocksperFile', '<u4'), |
|
|
66 | 66 | ('nNumWindows', '<u4'), |
|
|
67 | 67 | ('nProcessFlags', '<u4'), |
|
|
68 | 68 | ('nCoherentIntegrations', '<u4'), |
|
|
69 | 69 | ('nIncoherentIntegrations', '<u4'), |
|
|
70 | 70 | ('nTotalSpectra', '<u4') |
|
|
71 | 71 | ]) |
|
|
72 | 72 | |
|
|
73 | 73 | |
|
|
74 | 74 | class Header(object): |
|
|
75 | 75 | |
|
|
76 | 76 | def __init__(self): |
|
|
77 | 77 | raise NotImplementedError |
|
|
78 | 78 | |
|
|
79 | 79 | def copy(self): |
|
|
80 | 80 | return copy.deepcopy(self) |
|
|
81 | 81 | |
|
|
82 | 82 | def read(self): |
|
|
83 | 83 | |
|
|
84 | 84 | raise NotImplementedError |
|
|
85 | 85 | |
|
|
86 | 86 | def write(self): |
|
|
87 | 87 | |
|
|
88 | 88 | raise NotImplementedError |
|
|
89 | 89 | |
|
|
90 | 90 | def getAllowedArgs(self): |
|
|
91 | 91 | args = inspect.getargspec(self.__init__).args |
|
|
92 | 92 | try: |
|
|
93 | 93 | args.remove('self') |
|
|
94 | 94 | except: |
|
|
95 | 95 | pass |
|
|
96 | 96 | return args |
|
|
97 | 97 | |
|
|
98 | 98 | def getAsDict(self): |
|
|
99 | 99 | args = self.getAllowedArgs() |
|
|
100 | 100 | asDict = {} |
|
|
101 | 101 | for x in args: |
|
|
102 | 102 | asDict[x] = self[x] |
|
|
103 | 103 | return asDict |
|
|
104 | 104 | |
|
|
105 | 105 | def __getitem__(self, name): |
|
|
106 | 106 | return getattr(self, name) |
|
|
107 | 107 | |
|
|
108 | 108 | def printInfo(self): |
|
|
109 | 109 | |
|
|
110 | 110 | message = "#" * 50 + "\n" |
|
|
111 | 111 | message += self.__class__.__name__.upper() + "\n" |
|
|
112 | 112 | message += "#" * 50 + "\n" |
|
|
113 | 113 | |
|
|
114 | 114 | keyList = list(self.__dict__.keys()) |
|
|
115 | 115 | keyList.sort() |
|
|
116 | 116 | |
|
|
117 | 117 | for key in keyList: |
|
|
118 | 118 | message += "%s = %s" % (key, self.__dict__[key]) + "\n" |
|
|
119 | 119 | |
|
|
120 | 120 | if "size" not in keyList: |
|
|
121 | 121 | attr = getattr(self, "size") |
|
|
122 | 122 | |
|
|
123 | 123 | if attr: |
|
|
124 | 124 | message += "%s = %s" % ("size", attr) + "\n" |
|
|
125 | 125 | |
|
|
126 | 126 | print(message) |
|
|
127 | 127 | |
|
|
128 | 128 | |
|
|
129 | 129 | class BasicHeader(Header): |
|
|
130 | 130 | |
|
|
131 | 131 | size = None |
|
|
132 | 132 | version = None |
|
|
133 | 133 | dataBlock = None |
|
|
134 | 134 | utc = None |
|
|
135 | 135 | ltc = None |
|
|
136 | 136 | miliSecond = None |
|
|
137 | 137 | timeZone = None |
|
|
138 | 138 | dstFlag = None |
|
|
139 | 139 | errorCount = None |
|
|
140 |
|
|
|
|
140 | F = None | |
|
|
141 | 141 | structure = BASIC_STRUCTURE |
|
|
142 | 142 | __LOCALTIME = None |
|
|
143 | 143 | |
|
|
144 | 144 | def __init__(self, useLocalTime=True): |
|
|
145 | 145 | |
|
|
146 | 146 | self.size = 24 |
|
|
147 | 147 | self.version = 0 |
|
|
148 | 148 | self.dataBlock = 0 |
|
|
149 | 149 | self.utc = 0 |
|
|
150 | 150 | self.miliSecond = 0 |
|
|
151 | 151 | self.timeZone = 0 |
|
|
152 | 152 | self.dstFlag = 0 |
|
|
153 | 153 | self.errorCount = 0 |
|
|
154 | 154 | |
|
|
155 | 155 | self.useLocalTime = useLocalTime |
|
|
156 | 156 | |
|
|
157 | 157 | def read(self, fp): |
|
|
158 | 158 | |
|
|
159 | 159 | self.length = 0 |
|
|
160 | 160 | try: |
|
|
161 | 161 | if hasattr(fp, 'read'): |
|
|
162 | 162 | header = numpy.fromfile(fp, BASIC_STRUCTURE, 1) |
|
|
163 | 163 | else: |
|
|
164 | 164 | header = numpy.fromstring(fp, BASIC_STRUCTURE, 1) |
|
|
165 | 165 | except Exception as e: |
|
|
166 | 166 | print("BasicHeader: ") |
|
|
167 | 167 | print(e) |
|
|
168 | 168 | return 0 |
|
|
169 | 169 | |
|
|
170 | 170 | self.size = int(header['nSize'][0]) |
|
|
171 | 171 | self.version = int(header['nVersion'][0]) |
|
|
172 | 172 | self.dataBlock = int(header['nDataBlockId'][0]) |
|
|
173 | 173 | self.utc = int(header['nUtime'][0]) |
|
|
174 | 174 | self.miliSecond = int(header['nMilsec'][0]) |
|
|
175 | 175 | self.timeZone = int(header['nTimezone'][0]) |
|
|
176 | 176 | self.dstFlag = int(header['nDstflag'][0]) |
|
|
177 | 177 | self.errorCount = int(header['nErrorCount'][0]) |
|
|
178 | 178 | |
|
|
179 | 179 | if self.size < 24: |
|
|
180 | 180 | return 0 |
|
|
181 | 181 | |
|
|
182 | 182 | self.length = header.nbytes |
|
|
183 | 183 | return 1 |
|
|
184 | 184 | |
|
|
185 | 185 | def write(self, fp): |
|
|
186 | 186 | |
|
|
187 | 187 | headerTuple = (self.size, self.version, self.dataBlock, self.utc, |
|
|
188 | 188 | self.miliSecond, self.timeZone, self.dstFlag, self.errorCount) |
|
|
189 | 189 | header = numpy.array(headerTuple, BASIC_STRUCTURE) |
|
|
190 | 190 | header.tofile(fp) |
|
|
191 | 191 | |
|
|
192 | 192 | return 1 |
|
|
193 | 193 | |
|
|
194 | 194 | def get_ltc(self): |
|
|
195 | 195 | |
|
|
196 | 196 | return self.utc - self.timeZone * 60 |
|
|
197 | 197 | |
|
|
198 | 198 | def set_ltc(self, value): |
|
|
199 | 199 | |
|
|
200 | 200 | self.utc = value + self.timeZone * 60 |
|
|
201 | 201 | |
|
|
202 | 202 | def get_datatime(self): |
|
|
203 | 203 | |
|
|
204 | 204 | return datetime.datetime.utcfromtimestamp(self.ltc) |
|
|
205 | 205 | |
|
|
206 | 206 | ltc = property(get_ltc, set_ltc) |
|
|
207 | 207 | datatime = property(get_datatime) |
|
|
208 | 208 | |
|
|
209 | 209 | |
|
|
210 | 210 | class SystemHeader(Header): |
|
|
211 | 211 | |
|
|
212 | 212 | size = None |
|
|
213 | 213 | nSamples = None |
|
|
214 | 214 | nProfiles = None |
|
|
215 | 215 | nChannels = None |
|
|
216 | 216 | adcResolution = None |
|
|
217 | 217 | pciDioBusWidth = None |
|
|
218 | 218 | structure = SYSTEM_STRUCTURE |
|
|
219 | 219 | |
|
|
220 | 220 | def __init__(self, nSamples=0, nProfiles=0, nChannels=0, adcResolution=14, pciDioBusWidth=0): |
|
|
221 | 221 | |
|
|
222 | 222 | self.size = 24 |
|
|
223 | 223 | self.nSamples = nSamples |
|
|
224 | 224 | self.nProfiles = nProfiles |
|
|
225 | 225 | self.nChannels = nChannels |
|
|
226 | 226 | self.adcResolution = adcResolution |
|
|
227 | 227 | self.pciDioBusWidth = pciDioBusWidth |
|
|
228 | 228 | |
|
|
229 | 229 | def read(self, fp): |
|
|
230 | 230 | self.length = 0 |
|
|
231 | 231 | try: |
|
|
232 | 232 | startFp = fp.tell() |
|
|
233 | 233 | except Exception as e: |
|
|
234 | 234 | startFp = None |
|
|
235 | 235 | pass |
|
|
236 | 236 | |
|
|
237 | 237 | try: |
|
|
238 | 238 | if hasattr(fp, 'read'): |
|
|
239 | 239 | header = numpy.fromfile(fp, SYSTEM_STRUCTURE, 1) |
|
|
240 | 240 | else: |
|
|
241 | 241 | header = numpy.fromstring(fp, SYSTEM_STRUCTURE, 1) |
|
|
242 | 242 | except Exception as e: |
|
|
243 | 243 | print("System Header: " + str(e)) |
|
|
244 | 244 | return 0 |
|
|
245 | 245 | |
|
|
246 | 246 | self.size = header['nSize'][0] |
|
|
247 | 247 | self.nSamples = header['nNumSamples'][0] |
|
|
248 | 248 | self.nProfiles = header['nNumProfiles'][0] |
|
|
249 | 249 | self.nChannels = header['nNumChannels'][0] |
|
|
250 | 250 | self.adcResolution = header['nADCResolution'][0] |
|
|
251 | 251 | self.pciDioBusWidth = header['nPCDIOBusWidth'][0] |
|
|
252 | 252 | |
|
|
253 | 253 | if startFp is not None: |
|
|
254 | 254 | endFp = self.size + startFp |
|
|
255 | 255 | |
|
|
256 | 256 | if fp.tell() > endFp: |
|
|
257 | 257 | sys.stderr.write( |
|
|
258 | 258 | "Warning %s: Size value read from System Header is lower than it has to be\n" % fp.name) |
|
|
259 | 259 | return 0 |
|
|
260 | 260 | |
|
|
261 | 261 | if fp.tell() < endFp: |
|
|
262 | 262 | sys.stderr.write( |
|
|
263 | 263 | "Warning %s: Size value read from System Header size is greater than it has to be\n" % fp.name) |
|
|
264 | 264 | return 0 |
|
|
265 | 265 | |
|
|
266 | 266 | self.length = header.nbytes |
|
|
267 | 267 | return 1 |
|
|
268 | 268 | |
|
|
269 | 269 | def write(self, fp): |
|
|
270 | 270 | |
|
|
271 | 271 | headerTuple = (self.size, self.nSamples, self.nProfiles, |
|
|
272 | 272 | self.nChannels, self.adcResolution, self.pciDioBusWidth) |
|
|
273 | 273 | header = numpy.array(headerTuple, SYSTEM_STRUCTURE) |
|
|
274 | 274 | header.tofile(fp) |
|
|
275 | 275 | |
|
|
276 | 276 | return 1 |
|
|
277 | 277 | |
|
|
278 | 278 | |
|
|
279 | 279 | class RadarControllerHeader(Header): |
|
|
280 | 280 | |
|
|
281 | 281 | expType = None |
|
|
282 | 282 | nTx = None |
|
|
283 | 283 | ipp = None |
|
|
284 | 284 | txA = None |
|
|
285 | 285 | txB = None |
|
|
286 | 286 | nWindows = None |
|
|
287 | 287 | numTaus = None |
|
|
288 | 288 | codeType = None |
|
|
289 | 289 | line6Function = None |
|
|
290 | 290 | line5Function = None |
|
|
291 | 291 | fClock = None |
|
|
292 | 292 | prePulseBefore = None |
|
|
293 | 293 | prePulseAfter = None |
|
|
294 | 294 | rangeIpp = None |
|
|
295 | 295 | rangeTxA = None |
|
|
296 | 296 | rangeTxB = None |
|
|
297 | 297 | structure = RADAR_STRUCTURE |
|
|
298 | 298 | __size = None |
|
|
299 | 299 | |
|
|
300 | 300 | def __init__(self, expType=2, nTx=1, |
|
|
301 | 301 | ipp=None, txA=0, txB=0, |
|
|
302 | 302 | nWindows=None, nHeights=None, firstHeight=None, deltaHeight=None, |
|
|
303 | 303 | numTaus=0, line6Function=0, line5Function=0, fClock=None, |
|
|
304 | 304 | prePulseBefore=0, prePulseAfter=0, |
|
|
305 | 305 | codeType=0, nCode=0, nBaud=0, code=None, |
|
|
306 | 306 | flip1=0, flip2=0): |
|
|
307 | 307 | |
|
|
308 | 308 | # self.size = 116 |
|
|
309 | 309 | self.expType = expType |
|
|
310 | 310 | self.nTx = nTx |
|
|
311 | 311 | self.ipp = ipp |
|
|
312 | 312 | self.txA = txA |
|
|
313 | 313 | self.txB = txB |
|
|
314 | 314 | self.rangeIpp = ipp |
|
|
315 | 315 | self.rangeTxA = txA |
|
|
316 | 316 | self.rangeTxB = txB |
|
|
317 | 317 | |
|
|
318 | 318 | self.nWindows = nWindows |
|
|
319 | 319 | self.numTaus = numTaus |
|
|
320 | 320 | self.codeType = codeType |
|
|
321 | 321 | self.line6Function = line6Function |
|
|
322 | 322 | self.line5Function = line5Function |
|
|
323 | 323 | self.fClock = fClock |
|
|
324 | 324 | self.prePulseBefore = prePulseBefore |
|
|
325 | 325 | self.prePulseAfter = prePulseAfter |
|
|
326 | 326 | |
|
|
327 | 327 | self.nHeights = nHeights |
|
|
328 | 328 | self.firstHeight = firstHeight |
|
|
329 | 329 | self.deltaHeight = deltaHeight |
|
|
330 | 330 | self.samplesWin = nHeights |
|
|
331 | 331 | |
|
|
332 | 332 | self.nCode = nCode |
|
|
333 | 333 | self.nBaud = nBaud |
|
|
334 | 334 | self.code = code |
|
|
335 | 335 | self.flip1 = flip1 |
|
|
336 | 336 | self.flip2 = flip2 |
|
|
337 | 337 | |
|
|
338 | 338 | self.code_size = int(numpy.ceil(self.nBaud / 32.)) * self.nCode * 4 |
|
|
339 | 339 | # self.dynamic = numpy.array([],numpy.dtype('byte')) |
|
|
340 | 340 | |
|
|
341 | 341 | if self.fClock is None and self.deltaHeight is not None: |
|
|
342 | 342 | self.fClock = 0.15 / (deltaHeight * 1e-6) # 0.15Km / (height * 1u) |
|
|
343 | 343 | |
|
|
344 | 344 | def read(self, fp): |
|
|
345 | 345 | self.length = 0 |
|
|
346 | 346 | try: |
|
|
347 | 347 | startFp = fp.tell() |
|
|
348 | 348 | except Exception as e: |
|
|
349 | 349 | startFp = None |
|
|
350 | 350 | pass |
|
|
351 | 351 | |
|
|
352 | 352 | try: |
|
|
353 | 353 | if hasattr(fp, 'read'): |
|
|
354 | 354 | header = numpy.fromfile(fp, RADAR_STRUCTURE, 1) |
|
|
355 | 355 | else: |
|
|
356 | 356 | header = numpy.fromstring(fp, RADAR_STRUCTURE, 1) |
|
|
357 | 357 | self.length += header.nbytes |
|
|
358 | 358 | except Exception as e: |
|
|
359 | 359 | print("RadarControllerHeader: " + str(e)) |
|
|
360 | 360 | return 0 |
|
|
361 | 361 | |
|
|
362 | 362 | size = int(header['nSize'][0]) |
|
|
363 | 363 | self.expType = int(header['nExpType'][0]) |
|
|
364 | 364 | self.nTx = int(header['nNTx'][0]) |
|
|
365 | 365 | self.ipp = float(header['fIpp'][0]) |
|
|
366 | #print(self.ipp) | |
|
|
366 | 367 | self.txA = float(header['fTxA'][0]) |
|
|
367 | 368 | self.txB = float(header['fTxB'][0]) |
|
|
368 | 369 | self.nWindows = int(header['nNumWindows'][0]) |
|
|
369 | 370 | self.numTaus = int(header['nNumTaus'][0]) |
|
|
370 | 371 | self.codeType = int(header['nCodeType'][0]) |
|
|
371 | 372 | self.line6Function = int(header['nLine6Function'][0]) |
|
|
372 | 373 | self.line5Function = int(header['nLine5Function'][0]) |
|
|
373 | 374 | self.fClock = float(header['fClock'][0]) |
|
|
374 | 375 | self.prePulseBefore = int(header['nPrePulseBefore'][0]) |
|
|
375 | 376 | self.prePulseAfter = int(header['nPrePulseAfter'][0]) |
|
|
376 | 377 | self.rangeIpp = header['sRangeIPP'][0] |
|
|
377 | 378 | self.rangeTxA = header['sRangeTxA'][0] |
|
|
378 | 379 | self.rangeTxB = header['sRangeTxB'][0] |
|
|
379 | 380 | |
|
|
380 | 381 | try: |
|
|
381 | 382 | if hasattr(fp, 'read'): |
|
|
382 | 383 | samplingWindow = numpy.fromfile( |
|
|
383 | 384 | fp, SAMPLING_STRUCTURE, self.nWindows) |
|
|
384 | 385 | else: |
|
|
385 | 386 | samplingWindow = numpy.fromstring( |
|
|
386 | 387 | fp[self.length:], SAMPLING_STRUCTURE, self.nWindows) |
|
|
387 | 388 | self.length += samplingWindow.nbytes |
|
|
388 | 389 | except Exception as e: |
|
|
389 | 390 | print("RadarControllerHeader: " + str(e)) |
|
|
390 | 391 | return 0 |
|
|
391 | 392 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
|
|
392 | 393 | self.firstHeight = samplingWindow['h0'] |
|
|
393 | 394 | self.deltaHeight = samplingWindow['dh'] |
|
|
394 | 395 | self.samplesWin = samplingWindow['nsa'] |
|
|
395 | 396 | |
|
|
396 | 397 | try: |
|
|
397 | 398 | if hasattr(fp, 'read'): |
|
|
398 | 399 | self.Taus = numpy.fromfile(fp, '<f4', self.numTaus) |
|
|
399 | 400 | else: |
|
|
400 | 401 | self.Taus = numpy.fromstring( |
|
|
401 | 402 | fp[self.length:], '<f4', self.numTaus) |
|
|
402 | 403 | self.length += self.Taus.nbytes |
|
|
403 | 404 | except Exception as e: |
|
|
404 | 405 | print("RadarControllerHeader: " + str(e)) |
|
|
405 | 406 | return 0 |
|
|
406 | 407 | |
|
|
407 | 408 | self.code_size = 0 |
|
|
408 | 409 | if self.codeType != 0: |
|
|
409 | 410 | |
|
|
410 | 411 | try: |
|
|
411 | 412 | if hasattr(fp, 'read'): |
|
|
412 | 413 | self.nCode = numpy.fromfile(fp, '<u4', 1)[0] |
|
|
413 | 414 | self.length += self.nCode.nbytes |
|
|
414 | 415 | self.nBaud = numpy.fromfile(fp, '<u4', 1)[0] |
|
|
415 | 416 | self.length += self.nBaud.nbytes |
|
|
416 | 417 | else: |
|
|
417 | 418 | self.nCode = numpy.fromstring( |
|
|
418 | 419 | fp[self.length:], '<u4', 1)[0] |
|
|
419 | 420 | self.length += self.nCode.nbytes |
|
|
420 | 421 | self.nBaud = numpy.fromstring( |
|
|
421 | 422 | fp[self.length:], '<u4', 1)[0] |
|
|
422 | 423 | self.length += self.nBaud.nbytes |
|
|
423 | 424 | except Exception as e: |
|
|
424 | 425 | print("RadarControllerHeader: " + str(e)) |
|
|
425 | 426 | return 0 |
|
|
426 | 427 | code = numpy.empty([self.nCode, self.nBaud], dtype='i1') |
|
|
427 | 428 | |
|
|
428 | 429 | for ic in range(self.nCode): |
|
|
429 | 430 | try: |
|
|
430 | 431 | if hasattr(fp, 'read'): |
|
|
431 | 432 | temp = numpy.fromfile(fp, 'u4', int( |
|
|
432 | 433 | numpy.ceil(self.nBaud / 32.))) |
|
|
433 | 434 | else: |
|
|
434 | 435 | temp = numpy.fromstring( |
|
|
435 | 436 | fp, 'u4', int(numpy.ceil(self.nBaud / 32.))) |
|
|
436 | 437 | self.length += temp.nbytes |
|
|
437 | 438 | except Exception as e: |
|
|
438 | 439 | print("RadarControllerHeader: " + str(e)) |
|
|
439 | 440 | return 0 |
|
|
440 | 441 | |
|
|
441 | 442 | for ib in range(self.nBaud - 1, -1, -1): |
|
|
442 | 443 | code[ic, ib] = temp[int(ib / 32)] % 2 |
|
|
443 | 444 | temp[int(ib / 32)] = temp[int(ib / 32)] / 2 |
|
|
444 | 445 | |
|
|
445 | 446 | self.code = 2.0 * code - 1.0 |
|
|
446 | 447 | self.code_size = int(numpy.ceil(self.nBaud / 32.)) * self.nCode * 4 |
|
|
447 | 448 | |
|
|
448 | 449 | # if self.line5Function == RCfunction.FLIP: |
|
|
449 | 450 | # self.flip1 = numpy.fromfile(fp,'<u4',1) |
|
|
450 | 451 | # |
|
|
451 | 452 | # if self.line6Function == RCfunction.FLIP: |
|
|
452 | 453 | # self.flip2 = numpy.fromfile(fp,'<u4',1) |
|
|
453 | 454 | if startFp is not None: |
|
|
454 | 455 | endFp = size + startFp |
|
|
455 | 456 | |
|
|
456 | 457 | if fp.tell() != endFp: |
|
|
457 | 458 | # fp.seek(endFp) |
|
|
458 | 459 | print("%s: Radar Controller Header size is not consistent: from data [%d] != from header field [%d]" % (fp.name, fp.tell() - startFp, size)) |
|
|
459 | 460 | # return 0 |
|
|
460 | 461 | |
|
|
461 | 462 | if fp.tell() > endFp: |
|
|
462 | 463 | sys.stderr.write( |
|
|
463 | 464 | "Warning %s: Size value read from Radar Controller header is lower than it has to be\n" % fp.name) |
|
|
464 | 465 | # return 0 |
|
|
465 | 466 | |
|
|
466 | 467 | if fp.tell() < endFp: |
|
|
467 | 468 | sys.stderr.write( |
|
|
468 | 469 | "Warning %s: Size value read from Radar Controller header is greater than it has to be\n" % fp.name) |
|
|
469 | 470 | |
|
|
470 | 471 | return 1 |
|
|
471 | 472 | |
|
|
472 | 473 | def write(self, fp): |
|
|
473 | 474 | |
|
|
474 | 475 | headerTuple = (self.size, |
|
|
475 | 476 | self.expType, |
|
|
476 | 477 | self.nTx, |
|
|
477 | 478 | self.ipp, |
|
|
478 | 479 | self.txA, |
|
|
479 | 480 | self.txB, |
|
|
480 | 481 | self.nWindows, |
|
|
481 | 482 | self.numTaus, |
|
|
482 | 483 | self.codeType, |
|
|
483 | 484 | self.line6Function, |
|
|
484 | 485 | self.line5Function, |
|
|
485 | 486 | self.fClock, |
|
|
486 | 487 | self.prePulseBefore, |
|
|
487 | 488 | self.prePulseAfter, |
|
|
488 | 489 | self.rangeIpp, |
|
|
489 | 490 | self.rangeTxA, |
|
|
490 | 491 | self.rangeTxB) |
|
|
491 | 492 | |
|
|
492 | 493 | header = numpy.array(headerTuple, RADAR_STRUCTURE) |
|
|
493 | 494 | header.tofile(fp) |
|
|
494 | 495 | |
|
|
495 | 496 | sampleWindowTuple = ( |
|
|
496 | 497 | self.firstHeight, self.deltaHeight, self.samplesWin) |
|
|
497 | 498 | samplingWindow = numpy.array(sampleWindowTuple, SAMPLING_STRUCTURE) |
|
|
498 | 499 | samplingWindow.tofile(fp) |
|
|
499 | 500 | |
|
|
500 | 501 | if self.numTaus > 0: |
|
|
501 | 502 | self.Taus.tofile(fp) |
|
|
502 | 503 | |
|
|
503 | 504 | if self.codeType != 0: |
|
|
504 | 505 | nCode = numpy.array(self.nCode, '<u4') |
|
|
505 | 506 | nCode.tofile(fp) |
|
|
506 | 507 | nBaud = numpy.array(self.nBaud, '<u4') |
|
|
507 | 508 | nBaud.tofile(fp) |
|
|
508 | 509 | code1 = (self.code + 1.0) / 2. |
|
|
509 | 510 | |
|
|
510 | 511 | for ic in range(self.nCode): |
|
|
511 | 512 | tempx = numpy.zeros(int(numpy.ceil(self.nBaud / 32.))) |
|
|
512 | 513 | start = 0 |
|
|
513 | 514 | end = 32 |
|
|
514 | 515 | for i in range(len(tempx)): |
|
|
515 | 516 | code_selected = code1[ic, start:end] |
|
|
516 | 517 | for j in range(len(code_selected) - 1, -1, -1): |
|
|
517 | 518 | if code_selected[j] == 1: |
|
|
518 | 519 | tempx[i] = tempx[i] + \ |
|
|
519 | 520 | 2**(len(code_selected) - 1 - j) |
|
|
520 | 521 | start = start + 32 |
|
|
521 | 522 | end = end + 32 |
|
|
522 | 523 | |
|
|
523 | 524 | tempx = tempx.astype('u4') |
|
|
524 | 525 | tempx.tofile(fp) |
|
|
525 | 526 | |
|
|
526 | 527 | # if self.line5Function == RCfunction.FLIP: |
|
|
527 | 528 | # self.flip1.tofile(fp) |
|
|
528 | 529 | # |
|
|
529 | 530 | # if self.line6Function == RCfunction.FLIP: |
|
|
530 | 531 | # self.flip2.tofile(fp) |
|
|
531 | 532 | |
|
|
532 | 533 | return 1 |
|
|
533 | 534 | |
|
|
534 | 535 | def get_ippSeconds(self): |
|
|
535 | 536 | ''' |
|
|
536 | 537 | ''' |
|
|
538 | ||
|
|
537 | 539 | ippSeconds = 2.0 * 1000 * self.ipp / SPEED_OF_LIGHT |
|
|
538 | 540 | |
|
|
539 | 541 | return ippSeconds |
|
|
540 | 542 | |
|
|
541 | 543 | def set_ippSeconds(self, ippSeconds): |
|
|
542 | 544 | ''' |
|
|
543 | 545 | ''' |
|
|
544 | 546 | |
|
|
545 | 547 | self.ipp = ippSeconds * SPEED_OF_LIGHT / (2.0 * 1000) |
|
|
546 | 548 | |
|
|
547 | 549 | return |
|
|
548 | 550 | |
|
|
549 | 551 | def get_size(self): |
|
|
550 | 552 | |
|
|
551 | 553 | self.__size = 116 + 12 * self.nWindows + 4 * self.numTaus |
|
|
552 | 554 | |
|
|
553 | 555 | if self.codeType != 0: |
|
|
554 | 556 | self.__size += 4 + 4 + 4 * self.nCode * \ |
|
|
555 | 557 | numpy.ceil(self.nBaud / 32.) |
|
|
556 | 558 | |
|
|
557 | 559 | return self.__size |
|
|
558 | 560 | |
|
|
559 | 561 | def set_size(self, value): |
|
|
560 | 562 | |
|
|
561 | 563 | raise IOError("size is a property and it cannot be set, just read") |
|
|
562 | 564 | |
|
|
563 | 565 | return |
|
|
564 | 566 | |
|
|
565 | 567 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
|
|
566 | 568 | size = property(get_size, set_size) |
|
|
567 | 569 | |
|
|
568 | 570 | |
|
|
569 | 571 | class ProcessingHeader(Header): |
|
|
570 | 572 | |
|
|
571 | 573 | # size = None |
|
|
572 | 574 | dtype = None |
|
|
573 | 575 | blockSize = None |
|
|
574 | 576 | profilesPerBlock = None |
|
|
575 | 577 | dataBlocksPerFile = None |
|
|
576 | 578 | nWindows = None |
|
|
577 | 579 | processFlags = None |
|
|
578 | 580 | nCohInt = None |
|
|
579 | 581 | nIncohInt = None |
|
|
580 | 582 | totalSpectra = None |
|
|
581 | 583 | structure = PROCESSING_STRUCTURE |
|
|
582 | 584 | flag_dc = None |
|
|
583 | 585 | flag_cspc = None |
|
|
584 | 586 | |
|
|
585 | 587 | def __init__(self, dtype=0, blockSize=0, profilesPerBlock=0, dataBlocksPerFile=0, nWindows=0, processFlags=0, nCohInt=0, |
|
|
586 | 588 | nIncohInt=0, totalSpectra=0, nHeights=0, firstHeight=0, deltaHeight=0, samplesWin=0, spectraComb=0, nCode=0, |
|
|
587 | 589 | code=0, nBaud=None, shif_fft=False, flag_dc=False, flag_cspc=False, flag_decode=False, flag_deflip=False |
|
|
588 | 590 | ): |
|
|
589 | 591 | |
|
|
590 | 592 | # self.size = 0 |
|
|
591 | 593 | self.dtype = dtype |
|
|
592 | 594 | self.blockSize = blockSize |
|
|
593 | 595 | self.profilesPerBlock = 0 |
|
|
594 | 596 | self.dataBlocksPerFile = 0 |
|
|
595 | 597 | self.nWindows = 0 |
|
|
596 | 598 | self.processFlags = 0 |
|
|
597 | 599 | self.nCohInt = 0 |
|
|
598 | 600 | self.nIncohInt = 0 |
|
|
599 | 601 | self.totalSpectra = 0 |
|
|
600 | 602 | |
|
|
601 | 603 | self.nHeights = 0 |
|
|
602 | 604 | self.firstHeight = 0 |
|
|
603 | 605 | self.deltaHeight = 0 |
|
|
604 | 606 | self.samplesWin = 0 |
|
|
605 | 607 | self.spectraComb = 0 |
|
|
606 | 608 | self.nCode = None |
|
|
607 | 609 | self.code = None |
|
|
608 | 610 | self.nBaud = None |
|
|
609 | 611 | |
|
|
610 | 612 | self.shif_fft = False |
|
|
611 | 613 | self.flag_dc = False |
|
|
612 | 614 | self.flag_cspc = False |
|
|
613 | 615 | self.flag_decode = False |
|
|
614 | 616 | self.flag_deflip = False |
|
|
615 | 617 | self.length = 0 |
|
|
616 | 618 | |
|
|
617 | 619 | def read(self, fp): |
|
|
618 | 620 | self.length = 0 |
|
|
619 | 621 | try: |
|
|
620 | 622 | startFp = fp.tell() |
|
|
621 | 623 | except Exception as e: |
|
|
622 | 624 | startFp = None |
|
|
623 | 625 | pass |
|
|
624 | 626 | |
|
|
625 | 627 | try: |
|
|
626 | 628 | if hasattr(fp, 'read'): |
|
|
627 | 629 | header = numpy.fromfile(fp, PROCESSING_STRUCTURE, 1) |
|
|
628 | 630 | else: |
|
|
629 | 631 | header = numpy.fromstring(fp, PROCESSING_STRUCTURE, 1) |
|
|
630 | 632 | self.length += header.nbytes |
|
|
631 | 633 | except Exception as e: |
|
|
632 | 634 | print("ProcessingHeader: " + str(e)) |
|
|
633 | 635 | return 0 |
|
|
634 | 636 | |
|
|
635 | 637 | size = int(header['nSize'][0]) |
|
|
636 | 638 | self.dtype = int(header['nDataType'][0]) |
|
|
637 | 639 | self.blockSize = int(header['nSizeOfDataBlock'][0]) |
|
|
638 | 640 | self.profilesPerBlock = int(header['nProfilesperBlock'][0]) |
|
|
639 | 641 | self.dataBlocksPerFile = int(header['nDataBlocksperFile'][0]) |
|
|
640 | 642 | self.nWindows = int(header['nNumWindows'][0]) |
|
|
641 | 643 | self.processFlags = header['nProcessFlags'] |
|
|
642 | 644 | self.nCohInt = int(header['nCoherentIntegrations'][0]) |
|
|
645 | ||
|
|
643 | 646 | self.nIncohInt = int(header['nIncoherentIntegrations'][0]) |
|
|
644 | 647 | self.totalSpectra = int(header['nTotalSpectra'][0]) |
|
|
645 | 648 | |
|
|
646 | 649 | try: |
|
|
647 | 650 | if hasattr(fp, 'read'): |
|
|
648 | 651 | samplingWindow = numpy.fromfile( |
|
|
649 | 652 | fp, SAMPLING_STRUCTURE, self.nWindows) |
|
|
650 | 653 | else: |
|
|
651 | 654 | samplingWindow = numpy.fromstring( |
|
|
652 | 655 | fp[self.length:], SAMPLING_STRUCTURE, self.nWindows) |
|
|
653 | 656 | self.length += samplingWindow.nbytes |
|
|
654 | 657 | except Exception as e: |
|
|
655 | 658 | print("ProcessingHeader: " + str(e)) |
|
|
656 | 659 | return 0 |
|
|
657 | 660 | |
|
|
658 | 661 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
|
|
659 | 662 | self.firstHeight = float(samplingWindow['h0'][0]) |
|
|
660 | 663 | self.deltaHeight = float(samplingWindow['dh'][0]) |
|
|
661 | 664 | self.samplesWin = samplingWindow['nsa'][0] |
|
|
662 | 665 | |
|
|
663 | 666 | try: |
|
|
664 | 667 | if hasattr(fp, 'read'): |
|
|
665 | 668 | self.spectraComb = numpy.fromfile( |
|
|
666 | 669 | fp, 'u1', 2 * self.totalSpectra) |
|
|
667 | 670 | else: |
|
|
668 | 671 | self.spectraComb = numpy.fromstring( |
|
|
669 | 672 | fp[self.length:], 'u1', 2 * self.totalSpectra) |
|
|
670 | 673 | self.length += self.spectraComb.nbytes |
|
|
671 | 674 | except Exception as e: |
|
|
672 | 675 | print("ProcessingHeader: " + str(e)) |
|
|
673 | 676 | return 0 |
|
|
674 | 677 | |
|
|
675 | 678 | if ((self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE) == PROCFLAG.DEFINE_PROCESS_CODE): |
|
|
676 | 679 | self.nCode = int(numpy.fromfile(fp, '<u4', 1)) |
|
|
677 | 680 | self.nBaud = int(numpy.fromfile(fp, '<u4', 1)) |
|
|
678 | 681 | self.code = numpy.fromfile( |
|
|
679 | 682 | fp, '<f4', self.nCode * self.nBaud).reshape(self.nCode, self.nBaud) |
|
|
680 | 683 | |
|
|
681 | 684 | if ((self.processFlags & PROCFLAG.EXP_NAME_ESP) == PROCFLAG.EXP_NAME_ESP): |
|
|
682 | 685 | exp_name_len = int(numpy.fromfile(fp, '<u4', 1)) |
|
|
683 | 686 | exp_name = numpy.fromfile(fp, 'u1', exp_name_len + 1) |
|
|
684 | 687 | |
|
|
685 | 688 | if ((self.processFlags & PROCFLAG.SHIFT_FFT_DATA) == PROCFLAG.SHIFT_FFT_DATA): |
|
|
686 | 689 | self.shif_fft = True |
|
|
687 | 690 | else: |
|
|
688 | 691 | self.shif_fft = False |
|
|
689 | 692 | |
|
|
690 | 693 | if ((self.processFlags & PROCFLAG.SAVE_CHANNELS_DC) == PROCFLAG.SAVE_CHANNELS_DC): |
|
|
691 | 694 | self.flag_dc = True |
|
|
692 | 695 | else: |
|
|
693 | 696 | self.flag_dc = False |
|
|
694 | 697 | |
|
|
695 | 698 | if ((self.processFlags & PROCFLAG.DECODE_DATA) == PROCFLAG.DECODE_DATA): |
|
|
696 | 699 | self.flag_decode = True |
|
|
697 | 700 | else: |
|
|
698 | 701 | self.flag_decode = False |
|
|
699 | 702 | |
|
|
700 | 703 | if ((self.processFlags & PROCFLAG.DEFLIP_DATA) == PROCFLAG.DEFLIP_DATA): |
|
|
701 | 704 | self.flag_deflip = True |
|
|
702 | 705 | else: |
|
|
703 | 706 | self.flag_deflip = False |
|
|
704 | 707 | |
|
|
705 | 708 | nChannels = 0 |
|
|
706 | 709 | nPairs = 0 |
|
|
707 | 710 | pairList = [] |
|
|
708 | 711 | |
|
|
709 | 712 | for i in range(0, self.totalSpectra * 2, 2): |
|
|
710 | 713 | if self.spectraComb[i] == self.spectraComb[i + 1]: |
|
|
711 | 714 | nChannels = nChannels + 1 # par de canales iguales |
|
|
712 | 715 | else: |
|
|
713 | 716 | nPairs = nPairs + 1 # par de canales diferentes |
|
|
714 | 717 | pairList.append((self.spectraComb[i], self.spectraComb[i + 1])) |
|
|
715 | 718 | |
|
|
716 | 719 | self.flag_cspc = False |
|
|
717 | 720 | if nPairs > 0: |
|
|
718 | 721 | self.flag_cspc = True |
|
|
719 | 722 | |
|
|
720 | 723 | if startFp is not None: |
|
|
721 | 724 | endFp = size + startFp |
|
|
722 | 725 | if fp.tell() > endFp: |
|
|
723 | 726 | sys.stderr.write( |
|
|
724 | 727 | "Warning: Processing header size is lower than it has to be") |
|
|
725 | 728 | return 0 |
|
|
726 | 729 | |
|
|
727 | 730 | if fp.tell() < endFp: |
|
|
728 | 731 | sys.stderr.write( |
|
|
729 | 732 | "Warning: Processing header size is greater than it is considered") |
|
|
730 | 733 | |
|
|
731 | 734 | return 1 |
|
|
732 | 735 | |
|
|
733 | 736 | def write(self, fp): |
|
|
734 | 737 | # Clear DEFINE_PROCESS_CODE |
|
|
735 | 738 | self.processFlags = self.processFlags & (~PROCFLAG.DEFINE_PROCESS_CODE) |
|
|
736 | 739 | |
|
|
737 | 740 | headerTuple = (self.size, |
|
|
738 | 741 | self.dtype, |
|
|
739 | 742 | self.blockSize, |
|
|
740 | 743 | self.profilesPerBlock, |
|
|
741 | 744 | self.dataBlocksPerFile, |
|
|
742 | 745 | self.nWindows, |
|
|
743 | 746 | self.processFlags, |
|
|
744 | 747 | self.nCohInt, |
|
|
745 | 748 | self.nIncohInt, |
|
|
746 | 749 | self.totalSpectra) |
|
|
747 | 750 | |
|
|
748 | 751 | header = numpy.array(headerTuple, PROCESSING_STRUCTURE) |
|
|
749 | 752 | header.tofile(fp) |
|
|
750 | 753 | |
|
|
751 | 754 | if self.nWindows != 0: |
|
|
752 | 755 | sampleWindowTuple = ( |
|
|
753 | 756 | self.firstHeight, self.deltaHeight, self.samplesWin) |
|
|
754 | 757 | samplingWindow = numpy.array(sampleWindowTuple, SAMPLING_STRUCTURE) |
|
|
755 | 758 | samplingWindow.tofile(fp) |
|
|
756 | 759 | |
|
|
757 | 760 | if self.totalSpectra != 0: |
|
|
758 | 761 | # spectraComb = numpy.array([],numpy.dtype('u1')) |
|
|
759 | 762 | spectraComb = self.spectraComb |
|
|
760 | 763 | spectraComb.tofile(fp) |
|
|
761 | 764 | |
|
|
762 | 765 | # if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
|
763 | 766 | # nCode = numpy.array([self.nCode], numpy.dtype('u4')) #Probar con un dato que almacene codigo, hasta el momento no se hizo la prueba |
|
|
764 | 767 | # nCode.tofile(fp) |
|
|
765 | 768 | # |
|
|
766 | 769 | # nBaud = numpy.array([self.nBaud], numpy.dtype('u4')) |
|
|
767 | 770 | # nBaud.tofile(fp) |
|
|
768 | 771 | # |
|
|
769 | 772 | # code = self.code.reshape(self.nCode*self.nBaud) |
|
|
770 | 773 | # code = code.astype(numpy.dtype('<f4')) |
|
|
771 | 774 | # code.tofile(fp) |
|
|
772 | 775 | |
|
|
773 | 776 | return 1 |
|
|
774 | 777 | |
|
|
775 | 778 | def get_size(self): |
|
|
776 | 779 | |
|
|
777 | 780 | self.__size = 40 + 12 * self.nWindows + 2 * self.totalSpectra |
|
|
778 | 781 | |
|
|
779 | 782 | # if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
|
780 | 783 | # self.__size += 4 + 4 + 4*self.nCode*numpy.ceil(self.nBaud/32.) |
|
|
781 | 784 | # self.__size += 4 + 4 + 4 * self.nCode * self.nBaud |
|
|
782 | 785 | |
|
|
783 | 786 | return self.__size |
|
|
784 | 787 | |
|
|
785 | 788 | def set_size(self, value): |
|
|
786 | 789 | |
|
|
787 | 790 | raise IOError("size is a property and it cannot be set, just read") |
|
|
788 | 791 | |
|
|
789 | 792 | return |
|
|
790 | 793 | |
|
|
791 | 794 | size = property(get_size, set_size) |
|
|
792 | 795 | |
|
|
793 | 796 | |
|
|
794 | 797 | class RCfunction: |
|
|
795 | 798 | NONE = 0 |
|
|
796 | 799 | FLIP = 1 |
|
|
797 | 800 | CODE = 2 |
|
|
798 | 801 | SAMPLING = 3 |
|
|
799 | 802 | LIN6DIV256 = 4 |
|
|
800 | 803 | SYNCHRO = 5 |
|
|
801 | 804 | |
|
|
802 | 805 | |
|
|
803 | 806 | class nCodeType: |
|
|
804 | 807 | NONE = 0 |
|
|
805 | 808 | USERDEFINE = 1 |
|
|
806 | 809 | BARKER2 = 2 |
|
|
807 | 810 | BARKER3 = 3 |
|
|
808 | 811 | BARKER4 = 4 |
|
|
809 | 812 | BARKER5 = 5 |
|
|
810 | 813 | BARKER7 = 6 |
|
|
811 | 814 | BARKER11 = 7 |
|
|
812 | 815 | BARKER13 = 8 |
|
|
813 | 816 | AC128 = 9 |
|
|
814 | 817 | COMPLEMENTARYCODE2 = 10 |
|
|
815 | 818 | COMPLEMENTARYCODE4 = 11 |
|
|
816 | 819 | COMPLEMENTARYCODE8 = 12 |
|
|
817 | 820 | COMPLEMENTARYCODE16 = 13 |
|
|
818 | 821 | COMPLEMENTARYCODE32 = 14 |
|
|
819 | 822 | COMPLEMENTARYCODE64 = 15 |
|
|
820 | 823 | COMPLEMENTARYCODE128 = 16 |
|
|
821 | 824 | CODE_BINARY28 = 17 |
|
|
822 | 825 | |
|
|
823 | 826 | |
|
|
824 | 827 | class PROCFLAG: |
|
|
825 | 828 | |
|
|
826 | 829 | COHERENT_INTEGRATION = numpy.uint32(0x00000001) |
|
|
827 | 830 | DECODE_DATA = numpy.uint32(0x00000002) |
|
|
828 | 831 | SPECTRA_CALC = numpy.uint32(0x00000004) |
|
|
829 | 832 | INCOHERENT_INTEGRATION = numpy.uint32(0x00000008) |
|
|
830 | 833 | POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010) |
|
|
831 | 834 | SHIFT_FFT_DATA = numpy.uint32(0x00000020) |
|
|
832 | 835 | |
|
|
833 | 836 | DATATYPE_CHAR = numpy.uint32(0x00000040) |
|
|
834 | 837 | DATATYPE_SHORT = numpy.uint32(0x00000080) |
|
|
835 | 838 | DATATYPE_LONG = numpy.uint32(0x00000100) |
|
|
836 | 839 | DATATYPE_INT64 = numpy.uint32(0x00000200) |
|
|
837 | 840 | DATATYPE_FLOAT = numpy.uint32(0x00000400) |
|
|
838 | 841 | DATATYPE_DOUBLE = numpy.uint32(0x00000800) |
|
|
839 | 842 | |
|
|
840 | 843 | DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000) |
|
|
841 | 844 | DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000) |
|
|
842 | 845 | DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000) |
|
|
843 | 846 | |
|
|
844 | 847 | SAVE_CHANNELS_DC = numpy.uint32(0x00008000) |
|
|
845 | 848 | DEFLIP_DATA = numpy.uint32(0x00010000) |
|
|
846 | 849 | DEFINE_PROCESS_CODE = numpy.uint32(0x00020000) |
|
|
847 | 850 | |
|
|
848 | 851 | ACQ_SYS_NATALIA = numpy.uint32(0x00040000) |
|
|
849 | 852 | ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000) |
|
|
850 | 853 | ACQ_SYS_ADRXD = numpy.uint32(0x000C0000) |
|
|
851 | 854 | ACQ_SYS_JULIA = numpy.uint32(0x00100000) |
|
|
852 | 855 | ACQ_SYS_XXXXXX = numpy.uint32(0x00140000) |
|
|
853 | 856 | |
|
|
854 | 857 | EXP_NAME_ESP = numpy.uint32(0x00200000) |
|
|
855 | 858 | CHANNEL_NAMES_ESP = numpy.uint32(0x00400000) |
|
|
856 | 859 | |
|
|
857 | 860 | OPERATION_MASK = numpy.uint32(0x0000003F) |
|
|
858 | 861 | DATATYPE_MASK = numpy.uint32(0x00000FC0) |
|
|
859 | 862 | DATAARRANGE_MASK = numpy.uint32(0x00007000) |
|
|
860 | 863 | ACQ_SYS_MASK = numpy.uint32(0x001C0000) |
|
|
861 | 864 | |
|
|
862 | 865 | |
|
|
863 | 866 | dtype0 = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
864 | 867 | dtype1 = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
865 | 868 | dtype2 = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
866 | 869 | dtype3 = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
867 | 870 | dtype4 = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
868 | 871 | dtype5 = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
869 | 872 | |
|
|
870 | 873 | NUMPY_DTYPE_LIST = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
871 | 874 | |
|
|
872 | 875 | PROCFLAG_DTYPE_LIST = [PROCFLAG.DATATYPE_CHAR, |
|
|
873 | 876 | PROCFLAG.DATATYPE_SHORT, |
|
|
874 | 877 | PROCFLAG.DATATYPE_LONG, |
|
|
875 | 878 | PROCFLAG.DATATYPE_INT64, |
|
|
876 | 879 | PROCFLAG.DATATYPE_FLOAT, |
|
|
877 | 880 | PROCFLAG.DATATYPE_DOUBLE] |
|
|
878 | 881 | |
|
|
879 | 882 | DTYPE_WIDTH = [1, 2, 4, 8, 4, 8] |
|
|
880 | 883 | |
|
|
881 | 884 | |
|
|
882 | 885 | def get_dtype_index(numpy_dtype): |
|
|
883 | 886 | |
|
|
884 | 887 | index = None |
|
|
885 | 888 | |
|
|
886 | 889 | for i in range(len(NUMPY_DTYPE_LIST)): |
|
|
887 | 890 | if numpy_dtype == NUMPY_DTYPE_LIST[i]: |
|
|
888 | 891 | index = i |
|
|
889 | 892 | break |
|
|
890 | 893 | |
|
|
891 | 894 | return index |
|
|
892 | 895 | |
|
|
893 | 896 | |
|
|
894 | 897 | def get_numpy_dtype(index): |
|
|
895 | 898 | |
|
|
896 | 899 | return NUMPY_DTYPE_LIST[index] |
|
|
897 | 900 | |
|
|
898 | 901 | |
|
|
899 | 902 | def get_procflag_dtype(index): |
|
|
900 | 903 | |
|
|
901 | 904 | return PROCFLAG_DTYPE_LIST[index] |
|
|
902 | 905 | |
|
|
903 | 906 | |
|
|
904 | 907 | def get_dtype_width(index): |
|
|
905 | 908 | |
|
|
906 | return DTYPE_WIDTH[index] No newline at end of file | |
|
|
909 | return DTYPE_WIDTH[index] | |
| @@ -1,5 +1,6 | |||
|
|
1 | 1 | from .jroplot_voltage import * |
|
|
2 | 2 | from .jroplot_spectra import * |
|
|
3 | 3 | from .jroplot_heispectra import * |
|
|
4 | 4 | from .jroplot_correlation import * |
|
|
5 | 5 | from .jroplot_parameters import * |
|
|
6 | from .jroplot_voltage_lags import * | |
| @@ -1,665 +1,669 | |||
|
|
1 | 1 | # Copyright (c) 2012-2020 Jicamarca Radio Observatory |
|
|
2 | 2 | # All rights reserved. |
|
|
3 | 3 | # |
|
|
4 | 4 | # Distributed under the terms of the BSD 3-clause license. |
|
|
5 | 5 | """Base class to create plot operations |
|
|
6 | 6 | |
|
|
7 | 7 | """ |
|
|
8 | 8 | |
|
|
9 | 9 | import os |
|
|
10 | 10 | import sys |
|
|
11 | 11 | import zmq |
|
|
12 | 12 | import time |
|
|
13 | 13 | import numpy |
|
|
14 | 14 | import datetime |
|
|
15 | 15 | from multiprocessing import Queue |
|
|
16 | 16 | from functools import wraps |
|
|
17 | 17 | from threading import Thread |
|
|
18 | 18 | import matplotlib |
|
|
19 | 19 | |
|
|
20 | 20 | if 'BACKEND' in os.environ: |
|
|
21 | 21 | matplotlib.use(os.environ['BACKEND']) |
|
|
22 | 22 | elif 'linux' in sys.platform: |
|
|
23 | 23 | matplotlib.use("TkAgg") |
|
|
24 | 24 | elif 'darwin' in sys.platform: |
|
|
25 | 25 | matplotlib.use('WxAgg') |
|
|
26 | 26 | else: |
|
|
27 | 27 | from schainpy.utils import log |
|
|
28 | 28 | log.warning('Using default Backend="Agg"', 'INFO') |
|
|
29 | 29 | matplotlib.use('Agg') |
|
|
30 | 30 | |
|
|
31 | 31 | import matplotlib.pyplot as plt |
|
|
32 | 32 | from matplotlib.patches import Polygon |
|
|
33 | 33 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
|
34 | 34 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator |
|
|
35 | 35 | |
|
|
36 | 36 | from schainpy.model.data.jrodata import PlotterData |
|
|
37 | 37 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
|
38 | 38 | from schainpy.utils import log |
|
|
39 | 39 | |
|
|
40 | 40 | jet_values = matplotlib.pyplot.get_cmap('jet', 100)(numpy.arange(100))[10:90] |
|
|
41 | 41 | blu_values = matplotlib.pyplot.get_cmap( |
|
|
42 | 42 | 'seismic_r', 20)(numpy.arange(20))[10:15] |
|
|
43 | 43 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list( |
|
|
44 | 44 | 'jro', numpy.vstack((blu_values, jet_values))) |
|
|
45 | 45 | matplotlib.pyplot.register_cmap(cmap=ncmap) |
|
|
46 | 46 | |
|
|
47 | 47 | CMAPS = [plt.get_cmap(s) for s in ('jro', 'jet', 'viridis', |
|
|
48 | 48 | 'plasma', 'inferno', 'Greys', 'seismic', 'bwr', 'coolwarm')] |
|
|
49 | 49 | |
|
|
50 | 50 | EARTH_RADIUS = 6.3710e3 |
|
|
51 | 51 | |
|
|
52 | 52 | def ll2xy(lat1, lon1, lat2, lon2): |
|
|
53 | 53 | |
|
|
54 | 54 | p = 0.017453292519943295 |
|
|
55 | 55 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \ |
|
|
56 | 56 | numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 |
|
|
57 | 57 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) |
|
|
58 | 58 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) |
|
|
59 | 59 | * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) |
|
|
60 | 60 | theta = -theta + numpy.pi/2 |
|
|
61 | 61 | return r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
62 | 62 | |
|
|
63 | 63 | |
|
|
64 | 64 | def km2deg(km): |
|
|
65 | 65 | ''' |
|
|
66 | 66 | Convert distance in km to degrees |
|
|
67 | 67 | ''' |
|
|
68 | 68 | |
|
|
69 | 69 | return numpy.rad2deg(km/EARTH_RADIUS) |
|
|
70 | 70 | |
|
|
71 | 71 | |
|
|
72 | 72 | def figpause(interval): |
|
|
73 | 73 | backend = plt.rcParams['backend'] |
|
|
74 | 74 | if backend in matplotlib.rcsetup.interactive_bk: |
|
|
75 | 75 | figManager = matplotlib._pylab_helpers.Gcf.get_active() |
|
|
76 | 76 | if figManager is not None: |
|
|
77 | 77 | canvas = figManager.canvas |
|
|
78 | 78 | if canvas.figure.stale: |
|
|
79 | 79 | canvas.draw() |
|
|
80 | 80 | try: |
|
|
81 | 81 | canvas.start_event_loop(interval) |
|
|
82 | 82 | except: |
|
|
83 | 83 | pass |
|
|
84 | 84 | return |
|
|
85 | 85 | |
|
|
86 | 86 | |
|
|
87 | 87 | def popup(message): |
|
|
88 | 88 | ''' |
|
|
89 | 89 | ''' |
|
|
90 | 90 | |
|
|
91 | 91 | fig = plt.figure(figsize=(12, 8), facecolor='r') |
|
|
92 | 92 | text = '\n'.join([s.strip() for s in message.split(':')]) |
|
|
93 | 93 | fig.text(0.01, 0.5, text, ha='left', va='center', |
|
|
94 | 94 | size='20', weight='heavy', color='w') |
|
|
95 | 95 | fig.show() |
|
|
96 | 96 | figpause(1000) |
|
|
97 | 97 | |
|
|
98 | 98 | |
|
|
99 | 99 | class Throttle(object): |
|
|
100 | 100 | ''' |
|
|
101 | 101 | Decorator that prevents a function from being called more than once every |
|
|
102 | 102 | time period. |
|
|
103 | 103 | To create a function that cannot be called more than once a minute, but |
|
|
104 | 104 | will sleep until it can be called: |
|
|
105 | 105 | @Throttle(minutes=1) |
|
|
106 | 106 | def foo(): |
|
|
107 | 107 | pass |
|
|
108 | 108 | |
|
|
109 | 109 | for i in range(10): |
|
|
110 | 110 | foo() |
|
|
111 | 111 | print "This function has run %s times." % i |
|
|
112 | 112 | ''' |
|
|
113 | 113 | |
|
|
114 | 114 | def __init__(self, seconds=0, minutes=0, hours=0): |
|
|
115 | 115 | self.throttle_period = datetime.timedelta( |
|
|
116 | 116 | seconds=seconds, minutes=minutes, hours=hours |
|
|
117 | 117 | ) |
|
|
118 | 118 | |
|
|
119 | 119 | self.time_of_last_call = datetime.datetime.min |
|
|
120 | 120 | |
|
|
121 | 121 | def __call__(self, fn): |
|
|
122 | 122 | @wraps(fn) |
|
|
123 | 123 | def wrapper(*args, **kwargs): |
|
|
124 | 124 | coerce = kwargs.pop('coerce', None) |
|
|
125 | 125 | if coerce: |
|
|
126 | 126 | self.time_of_last_call = datetime.datetime.now() |
|
|
127 | 127 | return fn(*args, **kwargs) |
|
|
128 | 128 | else: |
|
|
129 | 129 | now = datetime.datetime.now() |
|
|
130 | 130 | time_since_last_call = now - self.time_of_last_call |
|
|
131 | 131 | time_left = self.throttle_period - time_since_last_call |
|
|
132 | 132 | |
|
|
133 | 133 | if time_left > datetime.timedelta(seconds=0): |
|
|
134 | 134 | return |
|
|
135 | 135 | |
|
|
136 | 136 | self.time_of_last_call = datetime.datetime.now() |
|
|
137 | 137 | return fn(*args, **kwargs) |
|
|
138 | 138 | |
|
|
139 | 139 | return wrapper |
|
|
140 | 140 | |
|
|
141 | 141 | def apply_throttle(value): |
|
|
142 | 142 | |
|
|
143 | 143 | @Throttle(seconds=value) |
|
|
144 | 144 | def fnThrottled(fn): |
|
|
145 | 145 | fn() |
|
|
146 | 146 | |
|
|
147 | 147 | return fnThrottled |
|
|
148 | 148 | |
|
|
149 | 149 | |
|
|
150 | 150 | @MPDecorator |
|
|
151 | 151 | class Plot(Operation): |
|
|
152 | 152 | """Base class for Schain plotting operations |
|
|
153 | 153 | |
|
|
154 | 154 | This class should never be use directtly you must subclass a new operation, |
|
|
155 | 155 | children classes must be defined as follow: |
|
|
156 | 156 | |
|
|
157 | 157 | ExamplePlot(Plot): |
|
|
158 | 158 | |
|
|
159 | 159 | CODE = 'code' |
|
|
160 | 160 | colormap = 'jet' |
|
|
161 | 161 | plot_type = 'pcolor' # options are ('pcolor', 'pcolorbuffer', 'scatter', 'scatterbuffer') |
|
|
162 | 162 | |
|
|
163 | 163 | def setup(self): |
|
|
164 | 164 | pass |
|
|
165 | 165 | |
|
|
166 | 166 | def plot(self): |
|
|
167 | 167 | pass |
|
|
168 | 168 | |
|
|
169 | 169 | """ |
|
|
170 | 170 | |
|
|
171 | 171 | CODE = 'Figure' |
|
|
172 | 172 | colormap = 'jet' |
|
|
173 | 173 | bgcolor = 'white' |
|
|
174 | 174 | buffering = True |
|
|
175 | 175 | __missing = 1E30 |
|
|
176 | 176 | |
|
|
177 | 177 | __attrs__ = ['show', 'save', 'ymin', 'ymax', 'zmin', 'zmax', 'title', |
|
|
178 | 178 | 'showprofile'] |
|
|
179 | 179 | |
|
|
180 | 180 | def __init__(self): |
|
|
181 | 181 | |
|
|
182 | 182 | Operation.__init__(self) |
|
|
183 | 183 | self.isConfig = False |
|
|
184 | 184 | self.isPlotConfig = False |
|
|
185 | 185 | self.save_time = 0 |
|
|
186 | 186 | self.sender_time = 0 |
|
|
187 | 187 | self.data = None |
|
|
188 | 188 | self.firsttime = True |
|
|
189 | 189 | self.sender_queue = Queue(maxsize=60) |
|
|
190 | 190 | self.plots_adjust = {'left': 0.125, 'right': 0.9, 'bottom': 0.15, 'top': 0.9, 'wspace': 0.2, 'hspace': 0.2} |
|
|
191 | 191 | |
|
|
192 | 192 | def __fmtTime(self, x, pos): |
|
|
193 | 193 | ''' |
|
|
194 | 194 | ''' |
|
|
195 | 195 | |
|
|
196 | 196 | return '{}'.format(self.getDateTime(x).strftime('%H:%M')) |
|
|
197 | 197 | |
|
|
198 | 198 | def __setup(self, **kwargs): |
|
|
199 | 199 | ''' |
|
|
200 | 200 | Initialize variables |
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201 | 201 | ''' |
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202 | 202 | |
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203 | 203 | self.figures = [] |
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204 | 204 | self.axes = [] |
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205 | 205 | self.cb_axes = [] |
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206 | 206 | self.localtime = kwargs.pop('localtime', True) |
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207 | 207 | self.show = kwargs.get('show', True) |
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208 | 208 | self.save = kwargs.get('save', False) |
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209 | 209 | self.save_period = kwargs.get('save_period', 0) |
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210 | 210 | self.colormap = kwargs.get('colormap', self.colormap) |
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211 | 211 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') |
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212 | 212 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') |
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213 | 213 | self.colormaps = kwargs.get('colormaps', None) |
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214 | 214 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) |
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215 | 215 | self.showprofile = kwargs.get('showprofile', False) |
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216 | 216 | self.title = kwargs.get('wintitle', self.CODE.upper()) |
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217 | 217 | self.cb_label = kwargs.get('cb_label', None) |
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218 | 218 | self.cb_labels = kwargs.get('cb_labels', None) |
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219 | 219 | self.labels = kwargs.get('labels', None) |
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220 | 220 | self.xaxis = kwargs.get('xaxis', 'frequency') |
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221 | 221 | self.zmin = kwargs.get('zmin', None) |
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222 | 222 | self.zmax = kwargs.get('zmax', None) |
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223 | 223 | self.zlimits = kwargs.get('zlimits', None) |
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224 | self.xlimits = kwargs.get('xlimits', None) | |
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225 | self.xstep_given = kwargs.get('xstep_given', None) | |
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226 | self.ystep_given = kwargs.get('ystep_given', None) | |
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227 | self.autoxticks = kwargs.get('autoxticks', True) | |
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224 | 228 | self.xmin = kwargs.get('xmin', None) |
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225 | 229 | self.xmax = kwargs.get('xmax', None) |
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226 | 230 | self.xrange = kwargs.get('xrange', 12) |
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227 | 231 | self.xscale = kwargs.get('xscale', None) |
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228 | 232 | self.ymin = kwargs.get('ymin', None) |
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229 | 233 | self.ymax = kwargs.get('ymax', None) |
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230 | 234 | self.yscale = kwargs.get('yscale', None) |
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231 | 235 | self.xlabel = kwargs.get('xlabel', None) |
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232 | 236 | self.attr_time = kwargs.get('attr_time', 'utctime') |
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233 | 237 | self.decimation = kwargs.get('decimation', None) |
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234 | 238 | self.showSNR = kwargs.get('showSNR', False) |
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235 | 239 | self.oneFigure = kwargs.get('oneFigure', True) |
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236 | 240 | self.width = kwargs.get('width', None) |
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237 | 241 | self.height = kwargs.get('height', None) |
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238 | 242 | self.colorbar = kwargs.get('colorbar', True) |
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239 | 243 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) |
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240 | 244 | self.channels = kwargs.get('channels', None) |
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241 | 245 | self.titles = kwargs.get('titles', []) |
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242 | 246 | self.polar = False |
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243 | 247 | self.type = kwargs.get('type', 'iq') |
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244 | 248 | self.grid = kwargs.get('grid', False) |
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245 | 249 | self.pause = kwargs.get('pause', False) |
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246 | 250 | self.save_code = kwargs.get('save_code', self.CODE) |
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247 | 251 | self.throttle = kwargs.get('throttle', 0) |
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248 | 252 | self.exp_code = kwargs.get('exp_code', None) |
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249 | 253 | self.server = kwargs.get('server', False) |
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250 | 254 | self.sender_period = kwargs.get('sender_period', 60) |
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251 | 255 | self.tag = kwargs.get('tag', '') |
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252 | 256 | self.height_index = kwargs.get('height_index', None) |
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253 | 257 | self.__throttle_plot = apply_throttle(self.throttle) |
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254 | 258 | self.data = PlotterData( |
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255 | 259 | self.CODE, self.throttle, self.exp_code, self.localtime, self.buffering, snr=self.showSNR) |
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256 | ||
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260 | ||
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257 | 261 | if self.server: |
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258 | 262 | if not self.server.startswith('tcp://'): |
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259 | 263 | self.server = 'tcp://{}'.format(self.server) |
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260 | 264 | log.success( |
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261 | 265 | 'Sending to server: {}'.format(self.server), |
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262 | 266 | self.name |
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263 | 267 | ) |
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264 | 268 | |
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265 | 269 | def __setup_plot(self): |
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266 | 270 | ''' |
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267 | 271 | Common setup for all figures, here figures and axes are created |
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268 | 272 | ''' |
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269 | 273 | |
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270 | 274 | self.setup() |
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271 | 275 | |
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272 |
self.time_label = 'LT' if self.localtime else 'UTC' |
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276 | self.time_label = 'LT' if self.localtime else 'UTC' | |
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273 | 277 | |
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274 | 278 | if self.width is None: |
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275 | 279 | self.width = 8 |
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276 | 280 | |
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277 | 281 | self.figures = [] |
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278 | 282 | self.axes = [] |
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279 | 283 | self.cb_axes = [] |
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280 | 284 | self.pf_axes = [] |
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281 | 285 | self.cmaps = [] |
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282 | 286 | |
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283 | 287 | size = '15%' if self.ncols == 1 else '30%' |
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284 | 288 | pad = '4%' if self.ncols == 1 else '8%' |
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285 | 289 | |
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286 | 290 | if self.oneFigure: |
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287 | 291 | if self.height is None: |
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288 | 292 | self.height = 1.4 * self.nrows + 1 |
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289 | 293 | fig = plt.figure(figsize=(self.width, self.height), |
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290 | 294 | edgecolor='k', |
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291 | 295 | facecolor='w') |
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292 | 296 | self.figures.append(fig) |
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293 | 297 | for n in range(self.nplots): |
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294 | 298 | ax = fig.add_subplot(self.nrows, self.ncols, |
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295 | 299 | n + 1, polar=self.polar) |
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296 | 300 | ax.tick_params(labelsize=8) |
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297 | 301 | ax.firsttime = True |
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298 | 302 | ax.index = 0 |
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299 | 303 | ax.press = None |
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300 | 304 | self.axes.append(ax) |
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301 | 305 | if self.showprofile: |
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302 | 306 | cax = self.__add_axes(ax, size=size, pad=pad) |
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303 | 307 | cax.tick_params(labelsize=8) |
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304 | 308 | self.pf_axes.append(cax) |
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305 | 309 | else: |
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306 | 310 | if self.height is None: |
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307 | 311 | self.height = 3 |
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308 | 312 | for n in range(self.nplots): |
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309 | 313 | fig = plt.figure(figsize=(self.width, self.height), |
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310 | 314 | edgecolor='k', |
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311 | 315 | facecolor='w') |
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312 | 316 | ax = fig.add_subplot(1, 1, 1, polar=self.polar) |
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313 | 317 | ax.tick_params(labelsize=8) |
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314 | 318 | ax.firsttime = True |
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315 | 319 | ax.index = 0 |
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316 | 320 | ax.press = None |
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317 | 321 | self.figures.append(fig) |
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318 | 322 | self.axes.append(ax) |
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319 | 323 | if self.showprofile: |
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320 | 324 | cax = self.__add_axes(ax, size=size, pad=pad) |
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321 | 325 | cax.tick_params(labelsize=8) |
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322 | 326 | self.pf_axes.append(cax) |
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323 | 327 | |
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324 | 328 | for n in range(self.nrows): |
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325 | 329 | if self.colormaps is not None: |
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326 | 330 | cmap = plt.get_cmap(self.colormaps[n]) |
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327 | 331 | else: |
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328 | 332 | cmap = plt.get_cmap(self.colormap) |
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329 | 333 | cmap.set_bad(self.bgcolor, 1.) |
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330 | 334 | self.cmaps.append(cmap) |
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331 | 335 | |
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332 | 336 | def __add_axes(self, ax, size='30%', pad='8%'): |
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333 | 337 | ''' |
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334 | 338 | Add new axes to the given figure |
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335 | 339 | ''' |
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336 | 340 | divider = make_axes_locatable(ax) |
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337 | 341 | nax = divider.new_horizontal(size=size, pad=pad) |
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338 | 342 | ax.figure.add_axes(nax) |
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339 | 343 | return nax |
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340 | 344 | |
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341 | 345 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
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342 | 346 | ''' |
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343 | 347 | Create a masked array for missing data |
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344 | 348 | ''' |
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345 | 349 | if x_buffer.shape[0] < 2: |
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346 | 350 | return x_buffer, y_buffer, z_buffer |
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347 | 351 | |
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348 | 352 | deltas = x_buffer[1:] - x_buffer[0:-1] |
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349 | 353 | x_median = numpy.median(deltas) |
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350 | 354 | |
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351 | 355 | index = numpy.where(deltas > 5 * x_median) |
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352 | 356 | |
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353 | 357 | if len(index[0]) != 0: |
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354 | 358 | z_buffer[::, index[0], ::] = self.__missing |
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355 | 359 | z_buffer = numpy.ma.masked_inside(z_buffer, |
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356 | 360 | 0.99 * self.__missing, |
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357 | 361 | 1.01 * self.__missing) |
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358 | 362 | |
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359 | 363 | return x_buffer, y_buffer, z_buffer |
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360 | 364 | |
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361 | 365 | def decimate(self): |
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362 | 366 | |
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363 | 367 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
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364 | 368 | dy = int(len(self.y) / self.decimation) + 1 |
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365 | 369 | |
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366 | 370 | # x = self.x[::dx] |
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367 | 371 | x = self.x |
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368 | 372 | y = self.y[::dy] |
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369 | 373 | z = self.z[::, ::, ::dy] |
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370 | 374 | |
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371 | 375 | return x, y, z |
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372 | 376 | |
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373 | 377 | def format(self): |
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374 | 378 | ''' |
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375 | 379 | Set min and max values, labels, ticks and titles |
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376 | 380 | ''' |
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377 | ||
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381 | ||
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378 | 382 | for n, ax in enumerate(self.axes): |
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379 | 383 | if ax.firsttime: |
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380 | 384 | if self.xaxis != 'time': |
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381 | 385 | xmin = self.xmin |
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382 | 386 | xmax = self.xmax |
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383 | 387 | else: |
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384 | 388 | xmin = self.tmin |
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385 | 389 | xmax = self.tmin + self.xrange*60*60 |
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386 | 390 | ax.xaxis.set_major_formatter(FuncFormatter(self.__fmtTime)) |
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387 | 391 | ax.xaxis.set_major_locator(LinearLocator(9)) |
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388 | 392 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) |
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389 | 393 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) |
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390 | 394 | ax.set_facecolor(self.bgcolor) |
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391 | 395 | if self.xscale: |
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392 | 396 | ax.xaxis.set_major_formatter(FuncFormatter( |
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393 | 397 | lambda x, pos: '{0:g}'.format(x*self.xscale))) |
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394 | 398 | if self.yscale: |
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395 | 399 | ax.yaxis.set_major_formatter(FuncFormatter( |
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396 | 400 | lambda x, pos: '{0:g}'.format(x*self.yscale))) |
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397 | 401 | if self.xlabel is not None: |
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398 | 402 | ax.set_xlabel(self.xlabel) |
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399 | 403 | if self.ylabel is not None: |
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400 | 404 | ax.set_ylabel(self.ylabel) |
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401 | 405 | if self.showprofile: |
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402 | 406 | self.pf_axes[n].set_ylim(ymin, ymax) |
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403 | 407 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) |
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404 | 408 | self.pf_axes[n].set_xlabel('dB') |
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405 | 409 | self.pf_axes[n].grid(b=True, axis='x') |
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406 | 410 | [tick.set_visible(False) |
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407 | 411 | for tick in self.pf_axes[n].get_yticklabels()] |
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408 | 412 | if self.colorbar: |
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409 | 413 | ax.cbar = plt.colorbar( |
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410 | 414 | ax.plt, ax=ax, fraction=0.05, pad=0.02, aspect=10) |
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411 | 415 | ax.cbar.ax.tick_params(labelsize=8) |
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412 | 416 | ax.cbar.ax.press = None |
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413 | 417 | if self.cb_label: |
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414 | 418 | ax.cbar.set_label(self.cb_label, size=8) |
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415 | 419 | elif self.cb_labels: |
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416 | 420 | ax.cbar.set_label(self.cb_labels[n], size=8) |
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417 | 421 | else: |
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418 | 422 | ax.cbar = None |
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419 | 423 | ax.set_xlim(xmin, xmax) |
|
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420 | 424 | ax.set_ylim(ymin, ymax) |
|
|
421 | 425 | ax.firsttime = False |
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422 | 426 | if self.grid: |
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|
423 | 427 | ax.grid(True) |
|
|
424 | 428 | if not self.polar: |
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425 | 429 | ax.set_title('{} {} {}'.format( |
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426 | 430 | self.titles[n], |
|
|
427 | 431 | self.getDateTime(self.data.max_time).strftime( |
|
|
428 | 432 | '%Y-%m-%d %H:%M:%S'), |
|
|
429 | 433 | self.time_label), |
|
|
430 | 434 | size=8) |
|
|
431 | 435 | else: |
|
|
432 | 436 | ax.set_title('{}'.format(self.titles[n]), size=8) |
|
|
433 | 437 | ax.set_ylim(0, 90) |
|
|
434 | 438 | ax.set_yticks(numpy.arange(0, 90, 20)) |
|
|
435 | 439 | ax.yaxis.labelpad = 40 |
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436 | 440 | |
|
|
437 | 441 | if self.firsttime: |
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|
438 | 442 | for n, fig in enumerate(self.figures): |
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439 | 443 | fig.subplots_adjust(**self.plots_adjust) |
|
|
440 | 444 | self.firsttime = False |
|
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441 | 445 | |
|
|
442 | 446 | def clear_figures(self): |
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|
443 | 447 | ''' |
|
|
444 | 448 | Reset axes for redraw plots |
|
|
445 | 449 | ''' |
|
|
446 | 450 | |
|
|
447 | 451 | for ax in self.axes+self.pf_axes+self.cb_axes: |
|
|
448 | 452 | ax.clear() |
|
|
449 | 453 | ax.firsttime = True |
|
|
450 | 454 | if hasattr(ax, 'cbar') and ax.cbar: |
|
|
451 | 455 | ax.cbar.remove() |
|
|
452 | 456 | |
|
|
453 | 457 | def __plot(self): |
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|
454 | 458 | ''' |
|
|
455 | 459 | Main function to plot, format and save figures |
|
|
456 | 460 | ''' |
|
|
457 | 461 | |
|
|
458 | 462 | self.plot() |
|
|
459 | 463 | self.format() |
|
|
460 | ||
|
|
464 | ||
|
|
461 | 465 | for n, fig in enumerate(self.figures): |
|
|
462 | 466 | if self.nrows == 0 or self.nplots == 0: |
|
|
463 | 467 | log.warning('No data', self.name) |
|
|
464 | 468 | fig.text(0.5, 0.5, 'No Data', fontsize='large', ha='center') |
|
|
465 | 469 | fig.canvas.manager.set_window_title(self.CODE) |
|
|
466 | 470 | continue |
|
|
467 | ||
|
|
471 | ||
|
|
468 | 472 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, |
|
|
469 | 473 | self.getDateTime(self.data.max_time).strftime('%Y/%m/%d'))) |
|
|
470 | 474 | fig.canvas.draw() |
|
|
471 | 475 | if self.show: |
|
|
472 | 476 | fig.show() |
|
|
473 | 477 | figpause(0.01) |
|
|
474 | 478 | |
|
|
475 | 479 | if self.save: |
|
|
476 | 480 | self.save_figure(n) |
|
|
477 | ||
|
|
481 | ||
|
|
478 | 482 | if self.server: |
|
|
479 | 483 | self.send_to_server() |
|
|
480 | 484 | |
|
|
481 | 485 | def save_figure(self, n): |
|
|
482 | 486 | ''' |
|
|
483 | 487 | ''' |
|
|
484 | 488 | |
|
|
485 | 489 | if (self.data.tm - self.save_time) <= self.save_period: |
|
|
486 | 490 | return |
|
|
487 | 491 | |
|
|
488 | 492 | self.save_time = self.data.tm |
|
|
489 | 493 | |
|
|
490 | 494 | fig = self.figures[n] |
|
|
491 | 495 | |
|
|
492 | 496 | figname = os.path.join( |
|
|
493 | 497 | self.save, |
|
|
494 | 498 | self.save_code, |
|
|
495 |
'{}_{}.png'.format( |
|
|
|
499 | '{}_{}.png'.format( | |
|
|
496 | 500 | self.save_code, |
|
|
497 | 501 | self.getDateTime(self.data.max_time).strftime( |
|
|
498 | 502 | '%Y%m%d_%H%M%S' |
|
|
499 | 503 | ), |
|
|
500 | 504 | ) |
|
|
501 | 505 | ) |
|
|
502 | 506 | log.log('Saving figure: {}'.format(figname), self.name) |
|
|
503 | 507 | if not os.path.isdir(os.path.dirname(figname)): |
|
|
504 | 508 | os.makedirs(os.path.dirname(figname)) |
|
|
505 | 509 | fig.savefig(figname) |
|
|
506 | 510 | |
|
|
507 | 511 | if self.throttle == 0: |
|
|
508 | 512 | figname = os.path.join( |
|
|
509 | 513 | self.save, |
|
|
510 | 514 | '{}_{}.png'.format( |
|
|
511 | 515 | self.save_code, |
|
|
512 | 516 | self.getDateTime(self.data.min_time).strftime( |
|
|
513 | 517 | '%Y%m%d' |
|
|
514 | 518 | ), |
|
|
515 | 519 | ) |
|
|
516 | 520 | ) |
|
|
517 | 521 | fig.savefig(figname) |
|
|
518 | 522 | |
|
|
519 | 523 | def send_to_server(self): |
|
|
520 | 524 | ''' |
|
|
521 | 525 | ''' |
|
|
522 | 526 | |
|
|
523 | 527 | interval = self.data.tm - self.sender_time |
|
|
524 | 528 | if interval < self.sender_period: |
|
|
525 | 529 | return |
|
|
526 | 530 | |
|
|
527 | 531 | self.sender_time = self.data.tm |
|
|
528 | ||
|
|
532 | ||
|
|
529 | 533 | attrs = ['titles', 'zmin', 'zmax', 'tag', 'ymin', 'ymax'] |
|
|
530 | 534 | for attr in attrs: |
|
|
531 | 535 | value = getattr(self, attr) |
|
|
532 | 536 | if value: |
|
|
533 | 537 | if isinstance(value, (numpy.float32, numpy.float64)): |
|
|
534 | 538 | value = round(float(value), 2) |
|
|
535 | 539 | self.data.meta[attr] = value |
|
|
536 | 540 | if self.colormap == 'jet': |
|
|
537 | 541 | self.data.meta['colormap'] = 'Jet' |
|
|
538 | 542 | elif 'RdBu' in self.colormap: |
|
|
539 | 543 | self.data.meta['colormap'] = 'RdBu' |
|
|
540 | 544 | else: |
|
|
541 | 545 | self.data.meta['colormap'] = 'Viridis' |
|
|
542 | 546 | self.data.meta['interval'] = int(interval) |
|
|
543 | 547 | |
|
|
544 | 548 | try: |
|
|
545 | 549 | self.sender_queue.put(self.data.tm, block=False) |
|
|
546 | 550 | except: |
|
|
547 | 551 | tm = self.sender_queue.get() |
|
|
548 | 552 | self.sender_queue.put(self.data.tm) |
|
|
549 | ||
|
|
553 | ||
|
|
550 | 554 | while True: |
|
|
551 | 555 | if self.sender_queue.empty(): |
|
|
552 | 556 | break |
|
|
553 | 557 | tm = self.sender_queue.get() |
|
|
554 | 558 | try: |
|
|
555 | 559 | msg = self.data.jsonify(tm, self.save_code, self.plot_type) |
|
|
556 | 560 | except: |
|
|
557 | 561 | continue |
|
|
558 | 562 | self.socket.send_string(msg) |
|
|
559 | 563 | socks = dict(self.poll.poll(5000)) |
|
|
560 | 564 | if socks.get(self.socket) == zmq.POLLIN: |
|
|
561 | 565 | reply = self.socket.recv_string() |
|
|
562 | 566 | if reply == 'ok': |
|
|
563 | 567 | log.log("Response from server ok", self.name) |
|
|
564 | 568 | time.sleep(0.2) |
|
|
565 | 569 | continue |
|
|
566 | 570 | else: |
|
|
567 | 571 | log.warning( |
|
|
568 | 572 | "Malformed reply from server: {}".format(reply), self.name) |
|
|
569 | 573 | else: |
|
|
570 | 574 | log.warning( |
|
|
571 | 575 | "No response from server, retrying...", self.name) |
|
|
572 | 576 | self.sender_queue.put(self.data.tm) |
|
|
573 | 577 | self.socket.setsockopt(zmq.LINGER, 0) |
|
|
574 | 578 | self.socket.close() |
|
|
575 | 579 | self.poll.unregister(self.socket) |
|
|
576 | 580 | time.sleep(0.1) |
|
|
577 | 581 | self.socket = self.context.socket(zmq.REQ) |
|
|
578 | 582 | self.socket.connect(self.server) |
|
|
579 | 583 | self.poll.register(self.socket, zmq.POLLIN) |
|
|
580 | 584 | break |
|
|
581 | 585 | |
|
|
582 | 586 | def setup(self): |
|
|
583 | 587 | ''' |
|
|
584 | 588 | This method should be implemented in the child class, the following |
|
|
585 | 589 | attributes should be set: |
|
|
586 | 590 | |
|
|
587 | 591 | self.nrows: number of rows |
|
|
588 | 592 | self.ncols: number of cols |
|
|
589 | 593 | self.nplots: number of plots (channels or pairs) |
|
|
590 | 594 | self.ylabel: label for Y axes |
|
|
591 |
self.titles: list of axes title |
|
|
|
595 | self.titles: list of axes title | |
|
|
592 | 596 | |
|
|
593 | 597 | ''' |
|
|
594 | 598 | raise NotImplementedError |
|
|
595 | 599 | |
|
|
596 | 600 | def plot(self): |
|
|
597 | 601 | ''' |
|
|
598 | 602 | Must be defined in the child class |
|
|
599 | 603 | ''' |
|
|
600 | 604 | raise NotImplementedError |
|
|
601 | ||
|
|
605 | ||
|
|
602 | 606 | def run(self, dataOut, **kwargs): |
|
|
603 | 607 | ''' |
|
|
604 | 608 | Main plotting routine |
|
|
605 | 609 | ''' |
|
|
606 | ||
|
|
610 | print("time_inside_plot: ",dataOut.datatime) | |
|
|
611 | print(dataOut.flagNoData) | |
|
|
607 | 612 | if self.isConfig is False: |
|
|
608 | 613 | self.__setup(**kwargs) |
|
|
609 | 614 | |
|
|
610 | 615 | if self.localtime: |
|
|
611 | 616 | self.getDateTime = datetime.datetime.fromtimestamp |
|
|
612 | 617 | else: |
|
|
613 | 618 | self.getDateTime = datetime.datetime.utcfromtimestamp |
|
|
614 | 619 | |
|
|
615 | 620 | self.data.setup() |
|
|
616 | 621 | self.isConfig = True |
|
|
617 | 622 | if self.server: |
|
|
618 | 623 | self.context = zmq.Context() |
|
|
619 | 624 | self.socket = self.context.socket(zmq.REQ) |
|
|
620 | 625 | self.socket.connect(self.server) |
|
|
621 | 626 | self.poll = zmq.Poller() |
|
|
622 | 627 | self.poll.register(self.socket, zmq.POLLIN) |
|
|
623 | 628 | |
|
|
624 | 629 | tm = getattr(dataOut, self.attr_time) |
|
|
625 | ||
|
|
626 |
if self.data and 'time' in self.xaxis and (tm - self.tmin) >= self.xrange*60*60: |
|
|
|
630 | ||
|
|
631 | if self.data and 'time' in self.xaxis and (tm - self.tmin) >= self.xrange*60*60: | |
|
|
627 | 632 | self.save_time = tm |
|
|
628 | 633 | self.__plot() |
|
|
629 | 634 | self.tmin += self.xrange*60*60 |
|
|
630 | 635 | self.data.setup() |
|
|
631 | 636 | self.clear_figures() |
|
|
632 | 637 | |
|
|
633 | 638 | self.data.update(dataOut, tm) |
|
|
634 | 639 | |
|
|
635 | 640 | if self.isPlotConfig is False: |
|
|
636 | 641 | self.__setup_plot() |
|
|
637 | 642 | self.isPlotConfig = True |
|
|
638 | 643 | if self.xaxis == 'time': |
|
|
639 | 644 | dt = self.getDateTime(tm) |
|
|
640 | 645 | if self.xmin is None: |
|
|
641 | 646 | self.tmin = tm |
|
|
642 |
self.xmin = dt.hour |
|
|
|
647 | self.xmin = dt.hour | |
|
|
643 | 648 | minutes = (self.xmin-int(self.xmin)) * 60 |
|
|
644 | 649 | seconds = (minutes - int(minutes)) * 60 |
|
|
645 | 650 | self.tmin = (dt.replace(hour=int(self.xmin), minute=int(minutes), second=int(seconds)) - |
|
|
646 | 651 | datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
647 | 652 | if self.localtime: |
|
|
648 | 653 | self.tmin += time.timezone |
|
|
649 | 654 | |
|
|
650 | 655 | if self.xmin is not None and self.xmax is not None: |
|
|
651 | 656 | self.xrange = self.xmax - self.xmin |
|
|
652 | 657 | |
|
|
653 | 658 | if self.throttle == 0: |
|
|
654 | 659 | self.__plot() |
|
|
655 | 660 | else: |
|
|
656 | 661 | self.__throttle_plot(self.__plot)#, coerce=coerce) |
|
|
657 | 662 | |
|
|
658 | 663 | def close(self): |
|
|
659 | 664 | |
|
|
660 | 665 | if self.data and not self.data.flagNoData: |
|
|
661 | 666 | self.save_time = self.data.tm |
|
|
662 | 667 | self.__plot() |
|
|
663 | 668 | if self.data and not self.data.flagNoData and self.pause: |
|
|
664 | 669 | figpause(10) |
|
|
665 | ||
| @@ -1,339 +1,347 | |||
|
|
1 | 1 | import os |
|
|
2 | 2 | import datetime |
|
|
3 | 3 | import numpy |
|
|
4 | 4 | |
|
|
5 | 5 | from schainpy.model.graphics.jroplot_base import Plot, plt |
|
|
6 | 6 | from schainpy.model.graphics.jroplot_spectra import SpectraPlot, RTIPlot, CoherencePlot |
|
|
7 | 7 | from schainpy.utils import log |
|
|
8 | 8 | |
|
|
9 | 9 | EARTH_RADIUS = 6.3710e3 |
|
|
10 | 10 | |
|
|
11 | 11 | |
|
|
12 | 12 | def ll2xy(lat1, lon1, lat2, lon2): |
|
|
13 | 13 | |
|
|
14 | 14 | p = 0.017453292519943295 |
|
|
15 | 15 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \ |
|
|
16 | 16 | numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 |
|
|
17 | 17 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) |
|
|
18 | 18 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) |
|
|
19 | 19 | * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) |
|
|
20 | 20 | theta = -theta + numpy.pi/2 |
|
|
21 | 21 | return r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
22 | 22 | |
|
|
23 | 23 | |
|
|
24 | 24 | def km2deg(km): |
|
|
25 | 25 | ''' |
|
|
26 | 26 | Convert distance in km to degrees |
|
|
27 | 27 | ''' |
|
|
28 | 28 | |
|
|
29 | 29 | return numpy.rad2deg(km/EARTH_RADIUS) |
|
|
30 | 30 | |
|
|
31 | 31 | |
|
|
32 | 32 | |
|
|
33 | 33 | class SpectralMomentsPlot(SpectraPlot): |
|
|
34 | 34 | ''' |
|
|
35 | 35 | Plot for Spectral Moments |
|
|
36 | 36 | ''' |
|
|
37 | 37 | CODE = 'spc_moments' |
|
|
38 | 38 | colormap = 'jet' |
|
|
39 | 39 | plot_type = 'pcolor' |
|
|
40 | 40 | |
|
|
41 | class SpectralFitObliquePlot(SpectraPlot): | |
|
|
42 | ''' | |
|
|
43 | Plot for Spectral Oblique | |
|
|
44 | ''' | |
|
|
45 | CODE = 'spc_moments' | |
|
|
46 | colormap = 'jet' | |
|
|
47 | plot_type = 'pcolor' | |
|
|
48 | ||
|
|
49 | ||
|
|
41 | 50 | |
|
|
42 | 51 | class SnrPlot(RTIPlot): |
|
|
43 | 52 | ''' |
|
|
44 | 53 | Plot for SNR Data |
|
|
45 | 54 | ''' |
|
|
46 | 55 | |
|
|
47 | 56 | CODE = 'snr' |
|
|
48 | 57 | colormap = 'jet' |
|
|
49 | 58 | |
|
|
50 | 59 | |
|
|
51 | 60 | class DopplerPlot(RTIPlot): |
|
|
52 | 61 | ''' |
|
|
53 | 62 | Plot for DOPPLER Data (1st moment) |
|
|
54 | 63 | ''' |
|
|
55 | 64 | |
|
|
56 | 65 | CODE = 'dop' |
|
|
57 | 66 | colormap = 'jet' |
|
|
58 | 67 | |
|
|
59 | 68 | |
|
|
60 | 69 | class PowerPlot(RTIPlot): |
|
|
61 | 70 | ''' |
|
|
62 | 71 | Plot for Power Data (0 moment) |
|
|
63 | 72 | ''' |
|
|
64 | 73 | |
|
|
65 | 74 | CODE = 'pow' |
|
|
66 | 75 | colormap = 'jet' |
|
|
67 | 76 | |
|
|
68 | 77 | |
|
|
69 | 78 | class SpectralWidthPlot(RTIPlot): |
|
|
70 | 79 | ''' |
|
|
71 | 80 | Plot for Spectral Width Data (2nd moment) |
|
|
72 | 81 | ''' |
|
|
73 | 82 | |
|
|
74 | 83 | CODE = 'width' |
|
|
75 | 84 | colormap = 'jet' |
|
|
76 | 85 | |
|
|
77 | 86 | |
|
|
78 | 87 | class SkyMapPlot(Plot): |
|
|
79 | 88 | ''' |
|
|
80 | 89 | Plot for meteors detection data |
|
|
81 | 90 | ''' |
|
|
82 | 91 | |
|
|
83 | 92 | CODE = 'param' |
|
|
84 | 93 | |
|
|
85 | 94 | def setup(self): |
|
|
86 | 95 | |
|
|
87 | 96 | self.ncols = 1 |
|
|
88 | 97 | self.nrows = 1 |
|
|
89 | 98 | self.width = 7.2 |
|
|
90 | 99 | self.height = 7.2 |
|
|
91 | 100 | self.nplots = 1 |
|
|
92 | 101 | self.xlabel = 'Zonal Zenith Angle (deg)' |
|
|
93 | 102 | self.ylabel = 'Meridional Zenith Angle (deg)' |
|
|
94 | 103 | self.polar = True |
|
|
95 | 104 | self.ymin = -180 |
|
|
96 | 105 | self.ymax = 180 |
|
|
97 | 106 | self.colorbar = False |
|
|
98 | 107 | |
|
|
99 | 108 | def plot(self): |
|
|
100 | 109 | |
|
|
101 | 110 | arrayParameters = numpy.concatenate(self.data['param']) |
|
|
102 | 111 | error = arrayParameters[:, -1] |
|
|
103 | 112 | indValid = numpy.where(error == 0)[0] |
|
|
104 | 113 | finalMeteor = arrayParameters[indValid, :] |
|
|
105 | 114 | finalAzimuth = finalMeteor[:, 3] |
|
|
106 | 115 | finalZenith = finalMeteor[:, 4] |
|
|
107 | 116 | |
|
|
108 | 117 | x = finalAzimuth * numpy.pi / 180 |
|
|
109 | 118 | y = finalZenith |
|
|
110 | 119 | |
|
|
111 | 120 | ax = self.axes[0] |
|
|
112 | 121 | |
|
|
113 | 122 | if ax.firsttime: |
|
|
114 | 123 | ax.plot = ax.plot(x, y, 'bo', markersize=5)[0] |
|
|
115 | 124 | else: |
|
|
116 | 125 | ax.plot.set_data(x, y) |
|
|
117 | 126 | |
|
|
118 | 127 | dt1 = self.getDateTime(self.data.min_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
119 | 128 | dt2 = self.getDateTime(self.data.max_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
120 | 129 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, |
|
|
121 | 130 | dt2, |
|
|
122 | 131 | len(x)) |
|
|
123 | 132 | self.titles[0] = title |
|
|
124 | 133 | |
|
|
125 | 134 | |
|
|
126 | 135 | class ParametersPlot(RTIPlot): |
|
|
127 | 136 | ''' |
|
|
128 | 137 | Plot for data_param object |
|
|
129 | 138 | ''' |
|
|
130 | 139 | |
|
|
131 | 140 | CODE = 'param' |
|
|
132 | 141 | colormap = 'seismic' |
|
|
133 | 142 | |
|
|
134 | 143 | def setup(self): |
|
|
135 | 144 | self.xaxis = 'time' |
|
|
136 | 145 | self.ncols = 1 |
|
|
137 | 146 | self.nrows = self.data.shape(self.CODE)[0] |
|
|
138 | 147 | self.nplots = self.nrows |
|
|
139 | 148 | self.plots_adjust.update({'hspace':0.8, 'left': 0.1, 'bottom': 0.08, 'right':0.95, 'top': 0.95}) |
|
|
140 | ||
|
|
149 | ||
|
|
141 | 150 | if not self.xlabel: |
|
|
142 | 151 | self.xlabel = 'Time' |
|
|
143 | ||
|
|
152 | ||
|
|
144 | 153 | if self.showSNR: |
|
|
145 | 154 | self.nrows += 1 |
|
|
146 | 155 | self.nplots += 1 |
|
|
147 | 156 | |
|
|
148 | 157 | self.ylabel = 'Height [km]' |
|
|
149 | 158 | if not self.titles: |
|
|
150 | 159 | self.titles = self.data.parameters \ |
|
|
151 | 160 | if self.data.parameters else ['Param {}'.format(x) for x in range(self.nrows)] |
|
|
152 | 161 | if self.showSNR: |
|
|
153 | 162 | self.titles.append('SNR') |
|
|
154 | 163 | |
|
|
155 | 164 | def plot(self): |
|
|
156 | 165 | self.data.normalize_heights() |
|
|
157 | 166 | self.x = self.data.times |
|
|
158 | 167 | self.y = self.data.heights |
|
|
159 | 168 | if self.showSNR: |
|
|
160 | 169 | self.z = numpy.concatenate( |
|
|
161 | 170 | (self.data[self.CODE], self.data['snr']) |
|
|
162 | 171 | ) |
|
|
163 | 172 | else: |
|
|
164 | 173 | self.z = self.data[self.CODE] |
|
|
165 | 174 | |
|
|
166 | 175 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
167 | 176 | |
|
|
168 | 177 | if self.decimation is None: |
|
|
169 | 178 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
170 | 179 | else: |
|
|
171 | 180 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
172 | 181 | |
|
|
173 | 182 | for n, ax in enumerate(self.axes): |
|
|
174 | 183 | |
|
|
175 | 184 | self.zmax = self.zmax if self.zmax is not None else numpy.max( |
|
|
176 | 185 | self.z[n]) |
|
|
177 | 186 | self.zmin = self.zmin if self.zmin is not None else numpy.min( |
|
|
178 | 187 | self.z[n]) |
|
|
179 | 188 | |
|
|
180 | 189 | if ax.firsttime: |
|
|
181 | 190 | if self.zlimits is not None: |
|
|
182 | 191 | self.zmin, self.zmax = self.zlimits[n] |
|
|
183 | 192 | |
|
|
184 | 193 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
185 | 194 | vmin=self.zmin, |
|
|
186 | 195 | vmax=self.zmax, |
|
|
187 | 196 | cmap=self.cmaps[n] |
|
|
188 | 197 | ) |
|
|
189 | 198 | else: |
|
|
190 | 199 | if self.zlimits is not None: |
|
|
191 | 200 | self.zmin, self.zmax = self.zlimits[n] |
|
|
192 | 201 | ax.collections.remove(ax.collections[0]) |
|
|
193 | 202 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
194 | 203 | vmin=self.zmin, |
|
|
195 | 204 | vmax=self.zmax, |
|
|
196 | 205 | cmap=self.cmaps[n] |
|
|
197 | 206 | ) |
|
|
198 | 207 | |
|
|
199 | 208 | |
|
|
200 | 209 | class OutputPlot(ParametersPlot): |
|
|
201 | 210 | ''' |
|
|
202 | 211 | Plot data_output object |
|
|
203 | 212 | ''' |
|
|
204 | 213 | |
|
|
205 | 214 | CODE = 'output' |
|
|
206 | 215 | colormap = 'seismic' |
|
|
207 | 216 | |
|
|
208 | 217 | |
|
|
209 | 218 | class PolarMapPlot(Plot): |
|
|
210 | 219 | ''' |
|
|
211 | 220 | Plot for weather radar |
|
|
212 | 221 | ''' |
|
|
213 | 222 | |
|
|
214 | 223 | CODE = 'param' |
|
|
215 | 224 | colormap = 'seismic' |
|
|
216 | 225 | |
|
|
217 | 226 | def setup(self): |
|
|
218 | 227 | self.ncols = 1 |
|
|
219 | 228 | self.nrows = 1 |
|
|
220 | 229 | self.width = 9 |
|
|
221 | 230 | self.height = 8 |
|
|
222 | 231 | self.mode = self.data.meta['mode'] |
|
|
223 | 232 | if self.channels is not None: |
|
|
224 | 233 | self.nplots = len(self.channels) |
|
|
225 | 234 | self.nrows = len(self.channels) |
|
|
226 | 235 | else: |
|
|
227 | 236 | self.nplots = self.data.shape(self.CODE)[0] |
|
|
228 | 237 | self.nrows = self.nplots |
|
|
229 | 238 | self.channels = list(range(self.nplots)) |
|
|
230 | 239 | if self.mode == 'E': |
|
|
231 | 240 | self.xlabel = 'Longitude' |
|
|
232 | 241 | self.ylabel = 'Latitude' |
|
|
233 | 242 | else: |
|
|
234 | 243 | self.xlabel = 'Range (km)' |
|
|
235 | 244 | self.ylabel = 'Height (km)' |
|
|
236 | 245 | self.bgcolor = 'white' |
|
|
237 | 246 | self.cb_labels = self.data.meta['units'] |
|
|
238 | 247 | self.lat = self.data.meta['latitude'] |
|
|
239 | 248 | self.lon = self.data.meta['longitude'] |
|
|
240 | 249 | self.xmin, self.xmax = float( |
|
|
241 | 250 | km2deg(self.xmin) + self.lon), float(km2deg(self.xmax) + self.lon) |
|
|
242 | 251 | self.ymin, self.ymax = float( |
|
|
243 | 252 | km2deg(self.ymin) + self.lat), float(km2deg(self.ymax) + self.lat) |
|
|
244 | 253 | # self.polar = True |
|
|
245 | 254 | |
|
|
246 | 255 | def plot(self): |
|
|
247 | 256 | |
|
|
248 | 257 | for n, ax in enumerate(self.axes): |
|
|
249 | 258 | data = self.data['param'][self.channels[n]] |
|
|
250 | 259 | |
|
|
251 | 260 | zeniths = numpy.linspace( |
|
|
252 | 261 | 0, self.data.meta['max_range'], data.shape[1]) |
|
|
253 | 262 | if self.mode == 'E': |
|
|
254 | 263 | azimuths = -numpy.radians(self.data.heights)+numpy.pi/2 |
|
|
255 | 264 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
256 | 265 | x, y = r*numpy.cos(theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])), r*numpy.sin( |
|
|
257 | 266 | theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])) |
|
|
258 | 267 | x = km2deg(x) + self.lon |
|
|
259 | 268 | y = km2deg(y) + self.lat |
|
|
260 | 269 | else: |
|
|
261 | 270 | azimuths = numpy.radians(self.data.heights) |
|
|
262 | 271 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
263 | 272 | x, y = r*numpy.cos(theta), r*numpy.sin(theta) |
|
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264 | 273 | self.y = zeniths |
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265 | 274 | |
|
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266 | 275 | if ax.firsttime: |
|
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267 | 276 | if self.zlimits is not None: |
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268 | 277 | self.zmin, self.zmax = self.zlimits[n] |
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269 | 278 | ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), |
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270 | 279 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), |
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271 | 280 | vmin=self.zmin, |
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272 | 281 | vmax=self.zmax, |
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273 | 282 | cmap=self.cmaps[n]) |
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274 | 283 | else: |
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275 | 284 | if self.zlimits is not None: |
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276 | 285 | self.zmin, self.zmax = self.zlimits[n] |
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277 | 286 | ax.collections.remove(ax.collections[0]) |
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278 | 287 | ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), |
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279 | 288 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), |
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280 | 289 | vmin=self.zmin, |
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281 | 290 | vmax=self.zmax, |
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282 | 291 | cmap=self.cmaps[n]) |
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283 | 292 | |
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284 | 293 | if self.mode == 'A': |
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285 | 294 | continue |
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286 | 295 | |
|
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287 | 296 | # plot district names |
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288 | 297 | f = open('/data/workspace/schain_scripts/distrito.csv') |
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289 | 298 | for line in f: |
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290 | 299 | label, lon, lat = [s.strip() for s in line.split(',') if s] |
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291 | 300 | lat = float(lat) |
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292 | 301 | lon = float(lon) |
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293 | 302 | # ax.plot(lon, lat, '.b', ms=2) |
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294 | 303 | ax.text(lon, lat, label.decode('utf8'), ha='center', |
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295 | 304 | va='bottom', size='8', color='black') |
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296 | 305 | |
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297 | 306 | # plot limites |
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298 | 307 | limites = [] |
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299 | 308 | tmp = [] |
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300 | 309 | for line in open('/data/workspace/schain_scripts/lima.csv'): |
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301 | 310 | if '#' in line: |
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302 | 311 | if tmp: |
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303 | 312 | limites.append(tmp) |
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304 | 313 | tmp = [] |
|
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305 | 314 | continue |
|
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306 | 315 | values = line.strip().split(',') |
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307 | 316 | tmp.append((float(values[0]), float(values[1]))) |
|
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308 | 317 | for points in limites: |
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309 | 318 | ax.add_patch( |
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310 | 319 | Polygon(points, ec='k', fc='none', ls='--', lw=0.5)) |
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311 | 320 | |
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312 | 321 | # plot Cuencas |
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313 | 322 | for cuenca in ('rimac', 'lurin', 'mala', 'chillon', 'chilca', 'chancay-huaral'): |
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314 | 323 | f = open('/data/workspace/schain_scripts/{}.csv'.format(cuenca)) |
|
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315 | 324 | values = [line.strip().split(',') for line in f] |
|
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316 | 325 | points = [(float(s[0]), float(s[1])) for s in values] |
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317 | 326 | ax.add_patch(Polygon(points, ec='b', fc='none')) |
|
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318 | 327 | |
|
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319 | 328 | # plot grid |
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320 | 329 | for r in (15, 30, 45, 60): |
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321 | 330 | ax.add_artist(plt.Circle((self.lon, self.lat), |
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322 | 331 | km2deg(r), color='0.6', fill=False, lw=0.2)) |
|
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323 | 332 | ax.text( |
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324 | 333 | self.lon + (km2deg(r))*numpy.cos(60*numpy.pi/180), |
|
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325 | 334 | self.lat + (km2deg(r))*numpy.sin(60*numpy.pi/180), |
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326 | 335 | '{}km'.format(r), |
|
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327 | 336 | ha='center', va='bottom', size='8', color='0.6', weight='heavy') |
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328 | 337 | |
|
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329 | 338 | if self.mode == 'E': |
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330 | 339 | title = 'El={}$^\circ$'.format(self.data.meta['elevation']) |
|
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331 | 340 | label = 'E{:02d}'.format(int(self.data.meta['elevation'])) |
|
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332 | 341 | else: |
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333 | 342 | title = 'Az={}$^\circ$'.format(self.data.meta['azimuth']) |
|
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334 | 343 | label = 'A{:02d}'.format(int(self.data.meta['azimuth'])) |
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335 | 344 | |
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336 | 345 | self.save_labels = ['{}-{}'.format(lbl, label) for lbl in self.labels] |
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337 | 346 | self.titles = ['{} {}'.format( |
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338 | 347 | self.data.parameters[x], title) for x in self.channels] |
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339 | ||
| This diff has been collapsed as it changes many lines, (572 lines changed) Show them Hide them | |||
| @@ -1,641 +1,1171 | |||
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1 | 1 | ''' |
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2 | 2 | Created on Jul 9, 2014 |
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3 | 3 | Modified on May 10, 2020 |
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4 | 4 | |
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5 | 5 | @author: Juan C. Espinoza |
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6 | 6 | ''' |
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7 | 7 | |
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8 | 8 | import os |
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9 | 9 | import datetime |
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10 | 10 | import numpy |
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11 | 11 | |
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12 | 12 | from schainpy.model.graphics.jroplot_base import Plot, plt |
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13 | 13 | |
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14 | 14 | |
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15 | 15 | class SpectraPlot(Plot): |
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16 | 16 | ''' |
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17 | 17 | Plot for Spectra data |
|
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18 | 18 | ''' |
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19 | 19 | |
|
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20 | 20 | CODE = 'spc' |
|
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21 | 21 | colormap = 'jet' |
|
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22 | 22 | plot_type = 'pcolor' |
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23 | 23 | |
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24 | 24 | def setup(self): |
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25 | ||
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25 | 26 | self.nplots = len(self.data.channels) |
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26 | 27 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) |
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27 | 28 | self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) |
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28 | 29 | self.height = 2.6 * self.nrows |
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29 | 30 | self.cb_label = 'dB' |
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30 | 31 | if self.showprofile: |
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31 | 32 | self.width = 4 * self.ncols |
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32 | 33 | else: |
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33 | 34 | self.width = 3.5 * self.ncols |
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34 |
self.plots_adjust.update({'wspace': 0. |
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35 | self.plots_adjust.update({'wspace': 0.8, 'hspace':0.2, 'left': 0.2, 'right': 0.9, 'bottom': 0.18}) | |
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35 | 36 | self.ylabel = 'Range [km]' |
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36 | 37 | |
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37 | 38 | def plot(self): |
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39 | ||
|
|
40 | #print(self.xaxis) | |
|
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41 | #exit(1) | |
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38 | 42 | if self.xaxis == "frequency": |
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39 | 43 | x = self.data.xrange[0] |
|
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40 | 44 | self.xlabel = "Frequency (kHz)" |
|
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41 | 45 | elif self.xaxis == "time": |
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42 | 46 | x = self.data.xrange[1] |
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43 | 47 | self.xlabel = "Time (ms)" |
|
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44 | 48 | else: |
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45 | 49 | x = self.data.xrange[2] |
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46 | 50 | self.xlabel = "Velocity (m/s)" |
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47 | 51 | |
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48 | 52 | if self.CODE == 'spc_moments': |
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49 | 53 | x = self.data.xrange[2] |
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50 | 54 | self.xlabel = "Velocity (m/s)" |
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51 | 55 | |
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52 | 56 | self.titles = [] |
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53 | 57 | |
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58 | ||
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54 | 59 | y = self.data.heights |
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55 | 60 | self.y = y |
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56 | 61 | z = self.data['spc'] |
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57 | 62 | |
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63 | self.CODE2 = 'spc_oblique' | |
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64 | ||
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65 | ||
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58 | 66 | for n, ax in enumerate(self.axes): |
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59 | 67 | noise = self.data['noise'][n][-1] |
|
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60 | 68 | if self.CODE == 'spc_moments': |
|
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61 | 69 | mean = self.data['moments'][n, :, 1, :][-1] |
|
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70 | ||
|
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62 | 71 | if ax.firsttime: |
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63 | 72 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
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64 | 73 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
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65 | 74 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) |
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66 | 75 | self.zmax = self.zmax if self.zmax else numpy.nanmax(z) |
|
|
76 | #print(numpy.shape(x)) | |
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67 | 77 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
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68 | 78 | vmin=self.zmin, |
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69 | 79 | vmax=self.zmax, |
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|
70 | 80 | cmap=plt.get_cmap(self.colormap) |
|
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71 | 81 | ) |
|
|
72 | 82 | |
|
|
73 | 83 | if self.showprofile: |
|
|
74 | 84 | ax.plt_profile = self.pf_axes[n].plot( |
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75 | 85 | self.data['rti'][n][-1], y)[0] |
|
|
76 | 86 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, |
|
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77 | 87 | color="k", linestyle="dashed", lw=1)[0] |
|
|
78 | 88 | if self.CODE == 'spc_moments': |
|
|
79 | 89 | ax.plt_mean = ax.plot(mean, y, color='k')[0] |
|
|
90 | ||
|
|
80 | 91 | else: |
|
|
92 | ||
|
|
81 | 93 | ax.plt.set_array(z[n].T.ravel()) |
|
|
82 | 94 | if self.showprofile: |
|
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83 | 95 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) |
|
|
84 | 96 | ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) |
|
|
85 | 97 | if self.CODE == 'spc_moments': |
|
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86 | 98 | ax.plt_mean.set_data(mean, y) |
|
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99 | ||
|
|
87 | 100 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
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88 | 101 | |
|
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102 | class SpectraObliquePlot(Plot): | |
|
|
103 | ''' | |
|
|
104 | Plot for Spectra data | |
|
|
105 | ''' | |
|
|
106 | ||
|
|
107 | CODE = 'spc' | |
|
|
108 | colormap = 'jet' | |
|
|
109 | plot_type = 'pcolor' | |
|
|
110 | ||
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|
111 | def setup(self): | |
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112 | self.xaxis = "oblique" | |
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113 | self.nplots = len(self.data.channels) | |
|
|
114 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) | |
|
|
115 | self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) | |
|
|
116 | self.height = 2.6 * self.nrows | |
|
|
117 | self.cb_label = 'dB' | |
|
|
118 | if self.showprofile: | |
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|
119 | self.width = 4 * self.ncols | |
|
|
120 | else: | |
|
|
121 | self.width = 3.5 * self.ncols | |
|
|
122 | self.plots_adjust.update({'wspace': 0.8, 'hspace':0.2, 'left': 0.2, 'right': 0.9, 'bottom': 0.18}) | |
|
|
123 | self.ylabel = 'Range [km]' | |
|
|
124 | ||
|
|
125 | def plot(self): | |
|
|
126 | ||
|
|
127 | #print(self.xaxis) | |
|
|
128 | #exit(1) | |
|
|
129 | if self.xaxis == "frequency": | |
|
|
130 | x = self.data.xrange[0] | |
|
|
131 | self.xlabel = "Frequency (kHz)" | |
|
|
132 | elif self.xaxis == "time": | |
|
|
133 | x = self.data.xrange[1] | |
|
|
134 | self.xlabel = "Time (ms)" | |
|
|
135 | else: | |
|
|
136 | x = self.data.xrange[2] | |
|
|
137 | self.xlabel = "Velocity (m/s)" | |
|
|
138 | ||
|
|
139 | if self.CODE == 'spc_moments': | |
|
|
140 | x = self.data.xrange[2] | |
|
|
141 | self.xlabel = "Velocity (m/s)" | |
|
|
142 | ||
|
|
143 | self.titles = [] | |
|
|
144 | #self.xlabel = "Velocidad (m/s)" | |
|
|
145 | #self.ylabel = 'Rango (km)' | |
|
|
146 | ||
|
|
147 | ||
|
|
148 | y = self.data.heights | |
|
|
149 | self.y = y | |
|
|
150 | z = self.data['spc'] | |
|
|
151 | ||
|
|
152 | self.CODE2 = 'spc_oblique' | |
|
|
153 | ||
|
|
154 | ||
|
|
155 | for n, ax in enumerate(self.axes): | |
|
|
156 | noise = self.data['noise'][n][-1] | |
|
|
157 | if self.CODE == 'spc_moments': | |
|
|
158 | mean = self.data['moments'][n, :, 1, :][-1] | |
|
|
159 | if self.CODE2 == 'spc_oblique': | |
|
|
160 | shift1 = self.data.shift1 | |
|
|
161 | shift2 = self.data.shift2 | |
|
|
162 | if ax.firsttime: | |
|
|
163 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | |
|
|
164 | self.xmin = self.xmin if self.xmin else -self.xmax | |
|
|
165 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) | |
|
|
166 | self.zmax = self.zmax if self.zmax else numpy.nanmax(z) | |
|
|
167 | #print(numpy.shape(x)) | |
|
|
168 | ax.plt = ax.pcolormesh(x, y, z[n].T, | |
|
|
169 | vmin=self.zmin, | |
|
|
170 | vmax=self.zmax, | |
|
|
171 | cmap=plt.get_cmap(self.colormap) | |
|
|
172 | ) | |
|
|
173 | ||
|
|
174 | if self.showprofile: | |
|
|
175 | ax.plt_profile = self.pf_axes[n].plot( | |
|
|
176 | self.data['rti'][n][-1], y)[0] | |
|
|
177 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, | |
|
|
178 | color="k", linestyle="dashed", lw=1)[0] | |
|
|
179 | if self.CODE == 'spc_moments': | |
|
|
180 | ax.plt_mean = ax.plot(mean, y, color='k')[0] | |
|
|
181 | ||
|
|
182 | if self.CODE2 == 'spc_oblique': | |
|
|
183 | #ax.plt_shift1 = ax.plot(shift1, y, color='k', marker='x', linestyle='None', markersize=0.5)[0] | |
|
|
184 | #ax.plt_shift2 = ax.plot(shift2, y, color='m', marker='x', linestyle='None', markersize=0.5)[0] | |
|
|
185 | self.ploterr1 = ax.errorbar(shift1, y, xerr=self.data.shift1_error,fmt='k^',elinewidth=0.2,marker='x',linestyle='None',markersize=0.5,capsize=0.3,markeredgewidth=0.2) | |
|
|
186 | self.ploterr2 = ax.errorbar(shift2, y, xerr=self.data.shift2_error,fmt='m^',elinewidth=0.2,marker='x',linestyle='None',markersize=0.5,capsize=0.3,markeredgewidth=0.2) | |
|
|
187 | ||
|
|
188 | else: | |
|
|
189 | self.ploterr1.remove() | |
|
|
190 | self.ploterr2.remove() | |
|
|
191 | ax.plt.set_array(z[n].T.ravel()) | |
|
|
192 | if self.showprofile: | |
|
|
193 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) | |
|
|
194 | ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) | |
|
|
195 | if self.CODE == 'spc_moments': | |
|
|
196 | ax.plt_mean.set_data(mean, y) | |
|
|
197 | if self.CODE2 == 'spc_oblique': | |
|
|
198 | #ax.plt_shift1.set_data(shift1, y) | |
|
|
199 | #ax.plt_shift2.set_data(shift2, y) | |
|
|
200 | #ax.clf() | |
|
|
201 | self.ploterr1 = ax.errorbar(shift1, y, xerr=self.data.shift1_error,fmt='k^',elinewidth=0.2,marker='x',linestyle='None',markersize=0.5,capsize=0.3,markeredgewidth=0.2) | |
|
|
202 | self.ploterr2 = ax.errorbar(shift2, y, xerr=self.data.shift2_error,fmt='m^',elinewidth=0.2,marker='x',linestyle='None',markersize=0.5,capsize=0.3,markeredgewidth=0.2) | |
|
|
203 | ||
|
|
204 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) | |
|
|
205 | #self.titles.append('{}'.format('Velocidad Doppler')) | |
|
|
89 | 206 | |
|
|
90 | 207 | class CrossSpectraPlot(Plot): |
|
|
91 | 208 | |
|
|
92 | 209 | CODE = 'cspc' |
|
|
93 | 210 | colormap = 'jet' |
|
|
94 | 211 | plot_type = 'pcolor' |
|
|
95 | 212 | zmin_coh = None |
|
|
96 | 213 | zmax_coh = None |
|
|
97 | 214 | zmin_phase = None |
|
|
98 | 215 | zmax_phase = None |
|
|
99 | 216 | |
|
|
100 | 217 | def setup(self): |
|
|
101 | 218 | |
|
|
102 | 219 | self.ncols = 4 |
|
|
103 | 220 | self.nrows = len(self.data.pairs) |
|
|
104 | 221 | self.nplots = self.nrows * 4 |
|
|
105 | 222 | self.width = 3.1 * self.ncols |
|
|
106 |
self.height = |
|
|
|
223 | self.height = 5 * self.nrows | |
|
|
107 | 224 | self.ylabel = 'Range [km]' |
|
|
108 | 225 | self.showprofile = False |
|
|
109 | 226 | self.plots_adjust.update({'left': 0.08, 'right': 0.92, 'wspace': 0.5, 'hspace':0.4, 'top':0.95, 'bottom': 0.08}) |
|
|
110 | 227 | |
|
|
111 | 228 | def plot(self): |
|
|
112 | 229 | |
|
|
113 | 230 | if self.xaxis == "frequency": |
|
|
114 | 231 | x = self.data.xrange[0] |
|
|
115 | 232 | self.xlabel = "Frequency (kHz)" |
|
|
116 | 233 | elif self.xaxis == "time": |
|
|
117 | 234 | x = self.data.xrange[1] |
|
|
118 | 235 | self.xlabel = "Time (ms)" |
|
|
119 | 236 | else: |
|
|
120 | 237 | x = self.data.xrange[2] |
|
|
121 | 238 | self.xlabel = "Velocity (m/s)" |
|
|
122 | ||
|
|
239 | ||
|
|
123 | 240 | self.titles = [] |
|
|
124 | 241 | |
|
|
242 | ||
|
|
125 | 243 | y = self.data.heights |
|
|
126 | 244 | self.y = y |
|
|
127 | 245 | nspc = self.data['spc'] |
|
|
246 | #print(numpy.shape(self.data['spc'])) | |
|
|
128 | 247 | spc = self.data['cspc'][0] |
|
|
248 | #print(numpy.shape(spc)) | |
|
|
249 | #exit() | |
|
|
129 | 250 | cspc = self.data['cspc'][1] |
|
|
251 | #print(numpy.shape(cspc)) | |
|
|
252 | #exit() | |
|
|
130 | 253 | |
|
|
131 | 254 | for n in range(self.nrows): |
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|
132 | 255 | noise = self.data['noise'][:,-1] |
|
|
133 | 256 | pair = self.data.pairs[n] |
|
|
257 | #print(pair) | |
|
|
258 | #exit() | |
|
|
134 | 259 | ax = self.axes[4 * n] |
|
|
135 | if ax.firsttime: | |
|
|
136 |
self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
|
137 |
self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
|
138 |
self. |
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|
139 |
self.zm |
|
|
|
260 | if ax.firsttime: | |
|
|
261 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | |
|
|
262 | #self.xmin = self.xmin if self.xmin else -self.xmax | |
|
|
263 | self.xmin = self.xmin if self.xmin else numpy.nanmin(x) | |
|
|
264 | self.zmin = self.zmin if self.zmin else numpy.nanmin(nspc) | |
|
|
265 | self.zmax = self.zmax if self.zmax else numpy.nanmax(nspc) | |
|
|
266 | #print(numpy.nanmin(x)) | |
|
|
267 | #print(self.xmax) | |
|
|
268 | #print(self.xmin) | |
|
|
269 | #exit() | |
|
|
270 | #self.xmin=-.1 | |
|
|
140 | 271 | ax.plt = ax.pcolormesh(x , y , nspc[pair[0]].T, |
|
|
141 | 272 | vmin=self.zmin, |
|
|
142 | 273 | vmax=self.zmax, |
|
|
143 | 274 | cmap=plt.get_cmap(self.colormap) |
|
|
144 |
) |
|
|
|
145 | else: | |
|
|
275 | ) | |
|
|
276 | else: | |
|
|
146 | 277 | ax.plt.set_array(nspc[pair[0]].T.ravel()) |
|
|
147 | 278 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[0], noise[pair[0]])) |
|
|
148 | 279 | |
|
|
149 | 280 | ax = self.axes[4 * n + 1] |
|
|
150 | 281 | if ax.firsttime: |
|
|
151 | 282 | ax.plt = ax.pcolormesh(x , y, nspc[pair[1]].T, |
|
|
152 | 283 | vmin=self.zmin, |
|
|
153 | 284 | vmax=self.zmax, |
|
|
154 | 285 | cmap=plt.get_cmap(self.colormap) |
|
|
155 | 286 | ) |
|
|
156 |
else: |
|
|
|
287 | else: | |
|
|
157 | 288 | ax.plt.set_array(nspc[pair[1]].T.ravel()) |
|
|
158 | 289 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[1], noise[pair[1]])) |
|
|
159 | ||
|
|
290 | ||
|
|
160 | 291 | out = cspc[n] / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) |
|
|
161 | 292 | coh = numpy.abs(out) |
|
|
162 | 293 | phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi |
|
|
163 | 294 | |
|
|
164 | 295 | ax = self.axes[4 * n + 2] |
|
|
165 | 296 | if ax.firsttime: |
|
|
166 | 297 | ax.plt = ax.pcolormesh(x, y, coh.T, |
|
|
167 | 298 | vmin=0, |
|
|
168 | 299 | vmax=1, |
|
|
169 | 300 | cmap=plt.get_cmap(self.colormap_coh) |
|
|
170 | 301 | ) |
|
|
171 | 302 | else: |
|
|
172 | 303 | ax.plt.set_array(coh.T.ravel()) |
|
|
173 | 304 | self.titles.append( |
|
|
174 | 305 | 'Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) |
|
|
175 | ||
|
|
306 | ||
|
|
176 | 307 | ax = self.axes[4 * n + 3] |
|
|
177 | 308 | if ax.firsttime: |
|
|
178 | 309 | ax.plt = ax.pcolormesh(x, y, phase.T, |
|
|
179 | 310 | vmin=-180, |
|
|
180 | 311 | vmax=180, |
|
|
181 |
cmap=plt.get_cmap(self.colormap_phase) |
|
|
|
312 | cmap=plt.get_cmap(self.colormap_phase) | |
|
|
182 | 313 | ) |
|
|
183 | 314 | else: |
|
|
184 | 315 | ax.plt.set_array(phase.T.ravel()) |
|
|
185 | 316 | self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) |
|
|
186 | 317 | |
|
|
187 | 318 | |
|
|
319 | class CrossSpectra4Plot(Plot): | |
|
|
320 | ||
|
|
321 | CODE = 'cspc' | |
|
|
322 | colormap = 'jet' | |
|
|
323 | plot_type = 'pcolor' | |
|
|
324 | zmin_coh = None | |
|
|
325 | zmax_coh = None | |
|
|
326 | zmin_phase = None | |
|
|
327 | zmax_phase = None | |
|
|
328 | ||
|
|
329 | def setup(self): | |
|
|
330 | ||
|
|
331 | self.ncols = 4 | |
|
|
332 | self.nrows = len(self.data.pairs) | |
|
|
333 | self.nplots = self.nrows * 4 | |
|
|
334 | self.width = 3.1 * self.ncols | |
|
|
335 | self.height = 5 * self.nrows | |
|
|
336 | self.ylabel = 'Range [km]' | |
|
|
337 | self.showprofile = False | |
|
|
338 | self.plots_adjust.update({'left': 0.08, 'right': 0.92, 'wspace': 0.5, 'hspace':0.4, 'top':0.95, 'bottom': 0.08}) | |
|
|
339 | ||
|
|
340 | def plot(self): | |
|
|
341 | ||
|
|
342 | if self.xaxis == "frequency": | |
|
|
343 | x = self.data.xrange[0] | |
|
|
344 | self.xlabel = "Frequency (kHz)" | |
|
|
345 | elif self.xaxis == "time": | |
|
|
346 | x = self.data.xrange[1] | |
|
|
347 | self.xlabel = "Time (ms)" | |
|
|
348 | else: | |
|
|
349 | x = self.data.xrange[2] | |
|
|
350 | self.xlabel = "Velocity (m/s)" | |
|
|
351 | ||
|
|
352 | self.titles = [] | |
|
|
353 | ||
|
|
354 | ||
|
|
355 | y = self.data.heights | |
|
|
356 | self.y = y | |
|
|
357 | nspc = self.data['spc'] | |
|
|
358 | #print(numpy.shape(self.data['spc'])) | |
|
|
359 | spc = self.data['cspc'][0] | |
|
|
360 | #print(numpy.shape(nspc)) | |
|
|
361 | #exit() | |
|
|
362 | #nspc[1,:,:] = numpy.flip(nspc[1,:,:],axis=0) | |
|
|
363 | #print(numpy.shape(spc)) | |
|
|
364 | #exit() | |
|
|
365 | cspc = self.data['cspc'][1] | |
|
|
366 | ||
|
|
367 | #xflip=numpy.flip(x) | |
|
|
368 | #print(numpy.shape(cspc)) | |
|
|
369 | #exit() | |
|
|
370 | ||
|
|
371 | for n in range(self.nrows): | |
|
|
372 | noise = self.data['noise'][:,-1] | |
|
|
373 | pair = self.data.pairs[n] | |
|
|
374 | #print(pair) | |
|
|
375 | #exit() | |
|
|
376 | ax = self.axes[4 * n] | |
|
|
377 | if ax.firsttime: | |
|
|
378 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | |
|
|
379 | self.xmin = self.xmin if self.xmin else -self.xmax | |
|
|
380 | self.zmin = self.zmin if self.zmin else numpy.nanmin(nspc) | |
|
|
381 | self.zmax = self.zmax if self.zmax else numpy.nanmax(nspc) | |
|
|
382 | ax.plt = ax.pcolormesh(x , y , nspc[pair[0]].T, | |
|
|
383 | vmin=self.zmin, | |
|
|
384 | vmax=self.zmax, | |
|
|
385 | cmap=plt.get_cmap(self.colormap) | |
|
|
386 | ) | |
|
|
387 | else: | |
|
|
388 | #print(numpy.shape(nspc[pair[0]].T)) | |
|
|
389 | #exit() | |
|
|
390 | ax.plt.set_array(nspc[pair[0]].T.ravel()) | |
|
|
391 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[0], noise[pair[0]])) | |
|
|
392 | ||
|
|
393 | ax = self.axes[4 * n + 1] | |
|
|
394 | ||
|
|
395 | if ax.firsttime: | |
|
|
396 | ax.plt = ax.pcolormesh(x , y, numpy.flip(nspc[pair[1]],axis=0).T, | |
|
|
397 | vmin=self.zmin, | |
|
|
398 | vmax=self.zmax, | |
|
|
399 | cmap=plt.get_cmap(self.colormap) | |
|
|
400 | ) | |
|
|
401 | else: | |
|
|
402 | ||
|
|
403 | ax.plt.set_array(numpy.flip(nspc[pair[1]],axis=0).T.ravel()) | |
|
|
404 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[1], noise[pair[1]])) | |
|
|
405 | ||
|
|
406 | out = cspc[n] / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) | |
|
|
407 | coh = numpy.abs(out) | |
|
|
408 | phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi | |
|
|
409 | ||
|
|
410 | ax = self.axes[4 * n + 2] | |
|
|
411 | if ax.firsttime: | |
|
|
412 | ax.plt = ax.pcolormesh(x, y, numpy.flip(coh,axis=0).T, | |
|
|
413 | vmin=0, | |
|
|
414 | vmax=1, | |
|
|
415 | cmap=plt.get_cmap(self.colormap_coh) | |
|
|
416 | ) | |
|
|
417 | else: | |
|
|
418 | ax.plt.set_array(numpy.flip(coh,axis=0).T.ravel()) | |
|
|
419 | self.titles.append( | |
|
|
420 | 'Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) | |
|
|
421 | ||
|
|
422 | ax = self.axes[4 * n + 3] | |
|
|
423 | if ax.firsttime: | |
|
|
424 | ax.plt = ax.pcolormesh(x, y, numpy.flip(phase,axis=0).T, | |
|
|
425 | vmin=-180, | |
|
|
426 | vmax=180, | |
|
|
427 | cmap=plt.get_cmap(self.colormap_phase) | |
|
|
428 | ) | |
|
|
429 | else: | |
|
|
430 | ax.plt.set_array(numpy.flip(phase,axis=0).T.ravel()) | |
|
|
431 | self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) | |
|
|
432 | ||
|
|
433 | ||
|
|
434 | class CrossSpectra2Plot(Plot): | |
|
|
435 | ||
|
|
436 | CODE = 'cspc' | |
|
|
437 | colormap = 'jet' | |
|
|
438 | plot_type = 'pcolor' | |
|
|
439 | zmin_coh = None | |
|
|
440 | zmax_coh = None | |
|
|
441 | zmin_phase = None | |
|
|
442 | zmax_phase = None | |
|
|
443 | ||
|
|
444 | def setup(self): | |
|
|
445 | ||
|
|
446 | self.ncols = 1 | |
|
|
447 | self.nrows = len(self.data.pairs) | |
|
|
448 | self.nplots = self.nrows * 1 | |
|
|
449 | self.width = 3.1 * self.ncols | |
|
|
450 | self.height = 5 * self.nrows | |
|
|
451 | self.ylabel = 'Range [km]' | |
|
|
452 | self.showprofile = False | |
|
|
453 | self.plots_adjust.update({'left': 0.22, 'right': .90, 'wspace': 0.5, 'hspace':0.4, 'top':0.95, 'bottom': 0.08}) | |
|
|
454 | ||
|
|
455 | def plot(self): | |
|
|
456 | ||
|
|
457 | if self.xaxis == "frequency": | |
|
|
458 | x = self.data.xrange[0] | |
|
|
459 | self.xlabel = "Frequency (kHz)" | |
|
|
460 | elif self.xaxis == "time": | |
|
|
461 | x = self.data.xrange[1] | |
|
|
462 | self.xlabel = "Time (ms)" | |
|
|
463 | else: | |
|
|
464 | x = self.data.xrange[2] | |
|
|
465 | self.xlabel = "Velocity (m/s)" | |
|
|
466 | ||
|
|
467 | self.titles = [] | |
|
|
468 | ||
|
|
469 | ||
|
|
470 | y = self.data.heights | |
|
|
471 | self.y = y | |
|
|
472 | #nspc = self.data['spc'] | |
|
|
473 | #print(numpy.shape(self.data['spc'])) | |
|
|
474 | #spc = self.data['cspc'][0] | |
|
|
475 | #print(numpy.shape(spc)) | |
|
|
476 | #exit() | |
|
|
477 | cspc = self.data['cspc'][1] | |
|
|
478 | #print(numpy.shape(cspc)) | |
|
|
479 | #exit() | |
|
|
480 | ||
|
|
481 | for n in range(self.nrows): | |
|
|
482 | noise = self.data['noise'][:,-1] | |
|
|
483 | pair = self.data.pairs[n] | |
|
|
484 | #print(pair) #exit() | |
|
|
485 | ||
|
|
486 | ||
|
|
487 | ||
|
|
488 | out = cspc[n]# / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) | |
|
|
489 | ||
|
|
490 | #print(out[:,53]) | |
|
|
491 | #exit() | |
|
|
492 | cross = numpy.abs(out) | |
|
|
493 | z = cross/self.data.nFactor | |
|
|
494 | #print("here") | |
|
|
495 | #print(dataOut.data_spc[0,0,0]) | |
|
|
496 | #exit() | |
|
|
497 | ||
|
|
498 | cross = 10*numpy.log10(z) | |
|
|
499 | #print(numpy.shape(cross)) | |
|
|
500 | #print(cross[0,:]) | |
|
|
501 | #print(self.data.nFactor) | |
|
|
502 | #exit() | |
|
|
503 | #phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi | |
|
|
504 | ||
|
|
505 | ax = self.axes[1 * n] | |
|
|
506 | if ax.firsttime: | |
|
|
507 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | |
|
|
508 | self.xmin = self.xmin if self.xmin else -self.xmax | |
|
|
509 | self.zmin = self.zmin if self.zmin else numpy.nanmin(cross) | |
|
|
510 | self.zmax = self.zmax if self.zmax else numpy.nanmax(cross) | |
|
|
511 | ax.plt = ax.pcolormesh(x, y, cross.T, | |
|
|
512 | vmin=self.zmin, | |
|
|
513 | vmax=self.zmax, | |
|
|
514 | cmap=plt.get_cmap(self.colormap) | |
|
|
515 | ) | |
|
|
516 | else: | |
|
|
517 | ax.plt.set_array(cross.T.ravel()) | |
|
|
518 | self.titles.append( | |
|
|
519 | 'Cross Spectra Power Ch{} * Ch{}'.format(pair[0], pair[1])) | |
|
|
520 | ||
|
|
521 | ||
|
|
522 | class CrossSpectra3Plot(Plot): | |
|
|
523 | ||
|
|
524 | CODE = 'cspc' | |
|
|
525 | colormap = 'jet' | |
|
|
526 | plot_type = 'pcolor' | |
|
|
527 | zmin_coh = None | |
|
|
528 | zmax_coh = None | |
|
|
529 | zmin_phase = None | |
|
|
530 | zmax_phase = None | |
|
|
531 | ||
|
|
532 | def setup(self): | |
|
|
533 | ||
|
|
534 | self.ncols = 3 | |
|
|
535 | self.nrows = len(self.data.pairs) | |
|
|
536 | self.nplots = self.nrows * 3 | |
|
|
537 | self.width = 3.1 * self.ncols | |
|
|
538 | self.height = 5 * self.nrows | |
|
|
539 | self.ylabel = 'Range [km]' | |
|
|
540 | self.showprofile = False | |
|
|
541 | self.plots_adjust.update({'left': 0.22, 'right': .90, 'wspace': 0.5, 'hspace':0.4, 'top':0.95, 'bottom': 0.08}) | |
|
|
542 | ||
|
|
543 | def plot(self): | |
|
|
544 | ||
|
|
545 | if self.xaxis == "frequency": | |
|
|
546 | x = self.data.xrange[0] | |
|
|
547 | self.xlabel = "Frequency (kHz)" | |
|
|
548 | elif self.xaxis == "time": | |
|
|
549 | x = self.data.xrange[1] | |
|
|
550 | self.xlabel = "Time (ms)" | |
|
|
551 | else: | |
|
|
552 | x = self.data.xrange[2] | |
|
|
553 | self.xlabel = "Velocity (m/s)" | |
|
|
554 | ||
|
|
555 | self.titles = [] | |
|
|
556 | ||
|
|
557 | ||
|
|
558 | y = self.data.heights | |
|
|
559 | self.y = y | |
|
|
560 | #nspc = self.data['spc'] | |
|
|
561 | #print(numpy.shape(self.data['spc'])) | |
|
|
562 | #spc = self.data['cspc'][0] | |
|
|
563 | #print(numpy.shape(spc)) | |
|
|
564 | #exit() | |
|
|
565 | cspc = self.data['cspc'][1] | |
|
|
566 | #print(numpy.shape(cspc)) | |
|
|
567 | #exit() | |
|
|
568 | ||
|
|
569 | for n in range(self.nrows): | |
|
|
570 | noise = self.data['noise'][:,-1] | |
|
|
571 | pair = self.data.pairs[n] | |
|
|
572 | #print(pair) #exit() | |
|
|
573 | ||
|
|
574 | ||
|
|
575 | ||
|
|
576 | out = cspc[n]# / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) | |
|
|
577 | ||
|
|
578 | #print(out[:,53]) | |
|
|
579 | #exit() | |
|
|
580 | cross = numpy.abs(out) | |
|
|
581 | z = cross/self.data.nFactor | |
|
|
582 | cross = 10*numpy.log10(z) | |
|
|
583 | ||
|
|
584 | out_r= out.real/self.data.nFactor | |
|
|
585 | #out_r = 10*numpy.log10(out_r) | |
|
|
586 | ||
|
|
587 | out_i= out.imag/self.data.nFactor | |
|
|
588 | #out_i = 10*numpy.log10(out_i) | |
|
|
589 | #print(numpy.shape(cross)) | |
|
|
590 | #print(cross[0,:]) | |
|
|
591 | #print(self.data.nFactor) | |
|
|
592 | #exit() | |
|
|
593 | #phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi | |
|
|
594 | ||
|
|
595 | ax = self.axes[3 * n] | |
|
|
596 | if ax.firsttime: | |
|
|
597 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | |
|
|
598 | self.xmin = self.xmin if self.xmin else -self.xmax | |
|
|
599 | self.zmin = self.zmin if self.zmin else numpy.nanmin(cross) | |
|
|
600 | self.zmax = self.zmax if self.zmax else numpy.nanmax(cross) | |
|
|
601 | ax.plt = ax.pcolormesh(x, y, cross.T, | |
|
|
602 | vmin=self.zmin, | |
|
|
603 | vmax=self.zmax, | |
|
|
604 | cmap=plt.get_cmap(self.colormap) | |
|
|
605 | ) | |
|
|
606 | else: | |
|
|
607 | ax.plt.set_array(cross.T.ravel()) | |
|
|
608 | self.titles.append( | |
|
|
609 | 'Cross Spectra Power Ch{} * Ch{}'.format(pair[0], pair[1])) | |
|
|
610 | ||
|
|
611 | ax = self.axes[3 * n + 1] | |
|
|
612 | if ax.firsttime: | |
|
|
613 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | |
|
|
614 | self.xmin = self.xmin if self.xmin else -self.xmax | |
|
|
615 | self.zmin = self.zmin if self.zmin else numpy.nanmin(cross) | |
|
|
616 | self.zmax = self.zmax if self.zmax else numpy.nanmax(cross) | |
|
|
617 | ax.plt = ax.pcolormesh(x, y, out_r.T, | |
|
|
618 | vmin=-1.e6, | |
|
|
619 | vmax=0, | |
|
|
620 | cmap=plt.get_cmap(self.colormap) | |
|
|
621 | ) | |
|
|
622 | else: | |
|
|
623 | ax.plt.set_array(out_r.T.ravel()) | |
|
|
624 | self.titles.append( | |
|
|
625 | 'Cross Spectra Real Ch{} * Ch{}'.format(pair[0], pair[1])) | |
|
|
626 | ||
|
|
627 | ax = self.axes[3 * n + 2] | |
|
|
628 | ||
|
|
629 | ||
|
|
630 | if ax.firsttime: | |
|
|
631 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | |
|
|
632 | self.xmin = self.xmin if self.xmin else -self.xmax | |
|
|
633 | self.zmin = self.zmin if self.zmin else numpy.nanmin(cross) | |
|
|
634 | self.zmax = self.zmax if self.zmax else numpy.nanmax(cross) | |
|
|
635 | ax.plt = ax.pcolormesh(x, y, out_i.T, | |
|
|
636 | vmin=-1.e6, | |
|
|
637 | vmax=1.e6, | |
|
|
638 | cmap=plt.get_cmap(self.colormap) | |
|
|
639 | ) | |
|
|
640 | else: | |
|
|
641 | ax.plt.set_array(out_i.T.ravel()) | |
|
|
642 | self.titles.append( | |
|
|
643 | 'Cross Spectra Imag Ch{} * Ch{}'.format(pair[0], pair[1])) | |
|
|
644 | ||
|
|
188 | 645 | class RTIPlot(Plot): |
|
|
189 | 646 | ''' |
|
|
190 | 647 | Plot for RTI data |
|
|
191 | 648 | ''' |
|
|
192 | 649 | |
|
|
193 | 650 | CODE = 'rti' |
|
|
194 | 651 | colormap = 'jet' |
|
|
195 | 652 | plot_type = 'pcolorbuffer' |
|
|
196 | 653 | |
|
|
197 | 654 | def setup(self): |
|
|
198 | 655 | self.xaxis = 'time' |
|
|
199 | 656 | self.ncols = 1 |
|
|
200 | 657 | self.nrows = len(self.data.channels) |
|
|
201 | 658 | self.nplots = len(self.data.channels) |
|
|
202 | 659 | self.ylabel = 'Range [km]' |
|
|
203 | 660 | self.xlabel = 'Time' |
|
|
204 | 661 | self.cb_label = 'dB' |
|
|
205 |
self.plots_adjust.update({'hspace':0.8, 'left': 0.1, 'bottom': 0. |
|
|
|
662 | self.plots_adjust.update({'hspace':0.8, 'left': 0.1, 'bottom': 0.1, 'right':0.95}) | |
|
|
206 | 663 | self.titles = ['{} Channel {}'.format( |
|
|
207 | 664 | self.CODE.upper(), x) for x in range(self.nrows)] |
|
|
208 | 665 | |
|
|
209 | 666 | def plot(self): |
|
|
210 | 667 | self.x = self.data.times |
|
|
211 | 668 | self.y = self.data.heights |
|
|
212 | 669 | self.z = self.data[self.CODE] |
|
|
670 | ||
|
|
671 | self.z = numpy.ma.masked_invalid(self.z) | |
|
|
672 | ||
|
|
673 | if self.decimation is None: | |
|
|
674 | x, y, z = self.fill_gaps(self.x, self.y, self.z) | |
|
|
675 | else: | |
|
|
676 | x, y, z = self.fill_gaps(*self.decimate()) | |
|
|
677 | ||
|
|
678 | for n, ax in enumerate(self.axes): | |
|
|
679 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) | |
|
|
680 | self.zmax = self.zmax if self.zmax else numpy.max(self.z) | |
|
|
681 | if ax.firsttime: | |
|
|
682 | ax.plt = ax.pcolormesh(x, y, z[n].T, | |
|
|
683 | vmin=self.zmin, | |
|
|
684 | vmax=self.zmax, | |
|
|
685 | cmap=plt.get_cmap(self.colormap) | |
|
|
686 | ) | |
|
|
687 | if self.showprofile: | |
|
|
688 | ax.plot_profile = self.pf_axes[n].plot( | |
|
|
689 | self.data['rti'][n][-1], self.y)[0] | |
|
|
690 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, | |
|
|
691 | color="k", linestyle="dashed", lw=1)[0] | |
|
|
692 | else: | |
|
|
693 | ax.collections.remove(ax.collections[0]) | |
|
|
694 | ax.plt = ax.pcolormesh(x, y, z[n].T, | |
|
|
695 | vmin=self.zmin, | |
|
|
696 | vmax=self.zmax, | |
|
|
697 | cmap=plt.get_cmap(self.colormap) | |
|
|
698 | ) | |
|
|
699 | if self.showprofile: | |
|
|
700 | ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) | |
|
|
701 | ax.plot_noise.set_data(numpy.repeat( | |
|
|
702 | self.data['noise'][n][-1], len(self.y)), self.y) | |
|
|
703 | ||
|
|
704 | ||
|
|
705 | class SpectrogramPlot(Plot): | |
|
|
706 | ''' | |
|
|
707 | Plot for Spectrogram data | |
|
|
708 | ''' | |
|
|
709 | ||
|
|
710 | CODE = 'spectrogram' | |
|
|
711 | colormap = 'binary' | |
|
|
712 | plot_type = 'pcolorbuffer' | |
|
|
713 | ||
|
|
714 | def setup(self): | |
|
|
715 | self.xaxis = 'time' | |
|
|
716 | self.ncols = 1 | |
|
|
717 | self.nrows = len(self.data.channels) | |
|
|
718 | self.nplots = len(self.data.channels) | |
|
|
719 | #print(self.dataOut.heightList) | |
|
|
720 | #self.ylabel = 'Range [km]' | |
|
|
721 | self.xlabel = 'Time' | |
|
|
722 | self.cb_label = 'dB' | |
|
|
723 | self.plots_adjust.update({'hspace':1.2, 'left': 0.1, 'bottom': 0.12, 'right':0.95}) | |
|
|
724 | self.titles = ['{} Channel {} \n H = {} km ({} - {})'.format( | |
|
|
725 | self.CODE.upper(), x, self.data.heightList[self.data.hei], self.data.heightList[self.data.hei],self.data.heightList[self.data.hei]+(self.data.DH*self.data.nProfiles)) for x in range(self.nrows)] | |
|
|
726 | ||
|
|
727 | def plot(self): | |
|
|
728 | self.x = self.data.times | |
|
|
729 | #self.y = self.data.heights | |
|
|
730 | self.z = self.data[self.CODE] | |
|
|
731 | self.y = self.data.xrange[0] | |
|
|
732 | #import time | |
|
|
733 | #print(time.ctime(self.x)) | |
|
|
734 | ||
|
|
735 | ''' | |
|
|
736 | print(numpy.shape(self.x)) | |
|
|
737 | print(numpy.shape(self.y)) | |
|
|
738 | print(numpy.shape(self.z)) | |
|
|
739 | ''' | |
|
|
740 | self.ylabel = "Frequency (kHz)" | |
|
|
741 | ||
|
|
213 | 742 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
214 | 743 | |
|
|
215 | 744 | if self.decimation is None: |
|
|
216 | 745 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
217 | 746 | else: |
|
|
218 | 747 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
219 | 748 | |
|
|
220 | 749 | for n, ax in enumerate(self.axes): |
|
|
221 | 750 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) |
|
|
222 | 751 | self.zmax = self.zmax if self.zmax else numpy.max(self.z) |
|
|
223 | 752 | if ax.firsttime: |
|
|
224 | 753 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
225 | 754 | vmin=self.zmin, |
|
|
226 | 755 | vmax=self.zmax, |
|
|
227 | 756 | cmap=plt.get_cmap(self.colormap) |
|
|
228 | 757 | ) |
|
|
229 | 758 | if self.showprofile: |
|
|
230 | 759 | ax.plot_profile = self.pf_axes[n].plot( |
|
|
231 | 760 | self.data['rti'][n][-1], self.y)[0] |
|
|
232 | 761 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, |
|
|
233 | 762 | color="k", linestyle="dashed", lw=1)[0] |
|
|
234 | 763 | else: |
|
|
235 | 764 | ax.collections.remove(ax.collections[0]) |
|
|
236 | 765 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
237 | 766 | vmin=self.zmin, |
|
|
238 | 767 | vmax=self.zmax, |
|
|
239 | 768 | cmap=plt.get_cmap(self.colormap) |
|
|
240 | 769 | ) |
|
|
241 | 770 | if self.showprofile: |
|
|
242 | 771 | ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) |
|
|
243 | 772 | ax.plot_noise.set_data(numpy.repeat( |
|
|
244 | 773 | self.data['noise'][n][-1], len(self.y)), self.y) |
|
|
245 | 774 | |
|
|
246 | 775 | |
|
|
247 | 776 | class CoherencePlot(RTIPlot): |
|
|
248 | 777 | ''' |
|
|
249 | 778 | Plot for Coherence data |
|
|
250 | 779 | ''' |
|
|
251 | 780 | |
|
|
252 | 781 | CODE = 'coh' |
|
|
253 | 782 | |
|
|
254 | 783 | def setup(self): |
|
|
255 | 784 | self.xaxis = 'time' |
|
|
256 | 785 | self.ncols = 1 |
|
|
257 | 786 | self.nrows = len(self.data.pairs) |
|
|
258 | 787 | self.nplots = len(self.data.pairs) |
|
|
259 | 788 | self.ylabel = 'Range [km]' |
|
|
260 | 789 | self.xlabel = 'Time' |
|
|
261 | 790 | self.plots_adjust.update({'hspace':0.6, 'left': 0.1, 'bottom': 0.1,'right':0.95}) |
|
|
262 | 791 | if self.CODE == 'coh': |
|
|
263 | 792 | self.cb_label = '' |
|
|
264 | 793 | self.titles = [ |
|
|
265 | 794 | 'Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
266 | 795 | else: |
|
|
267 | 796 | self.cb_label = 'Degrees' |
|
|
268 | 797 | self.titles = [ |
|
|
269 | 798 | 'Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
270 | 799 | |
|
|
271 | 800 | |
|
|
272 | 801 | class PhasePlot(CoherencePlot): |
|
|
273 | 802 | ''' |
|
|
274 | 803 | Plot for Phase map data |
|
|
275 | 804 | ''' |
|
|
276 | 805 | |
|
|
277 | 806 | CODE = 'phase' |
|
|
278 | 807 | colormap = 'seismic' |
|
|
279 | 808 | |
|
|
280 | 809 | |
|
|
281 | 810 | class NoisePlot(Plot): |
|
|
282 | 811 | ''' |
|
|
283 |
Plot for noise |
|
|
|
812 | Plot for noise | |
|
|
284 | 813 | ''' |
|
|
285 | 814 | |
|
|
286 | 815 | CODE = 'noise' |
|
|
287 | 816 | plot_type = 'scatterbuffer' |
|
|
288 | 817 | |
|
|
289 | 818 | |
|
|
290 | 819 | def setup(self): |
|
|
291 | 820 | self.xaxis = 'time' |
|
|
292 | 821 | self.ncols = 1 |
|
|
293 | 822 | self.nrows = 1 |
|
|
294 | 823 | self.nplots = 1 |
|
|
295 | 824 | self.ylabel = 'Intensity [dB]' |
|
|
296 | 825 | self.xlabel = 'Time' |
|
|
297 | 826 | self.titles = ['Noise'] |
|
|
298 | 827 | self.colorbar = False |
|
|
828 | self.plots_adjust.update({'hspace':0.8, 'left': 0.1, 'bottom': 0.17, 'right':0.95}) | |
|
|
299 | 829 | |
|
|
300 | 830 | def plot(self): |
|
|
301 | 831 | |
|
|
302 | 832 | x = self.data.times |
|
|
303 | 833 | xmin = self.data.min_time |
|
|
304 | 834 | xmax = xmin + self.xrange * 60 * 60 |
|
|
305 | 835 | Y = self.data[self.CODE] |
|
|
306 | 836 | |
|
|
307 | 837 | if self.axes[0].firsttime: |
|
|
308 | 838 | for ch in self.data.channels: |
|
|
309 | 839 | y = Y[ch] |
|
|
310 | 840 | self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch)) |
|
|
311 | 841 | plt.legend() |
|
|
312 | 842 | else: |
|
|
313 | 843 | for ch in self.data.channels: |
|
|
314 | 844 | y = Y[ch] |
|
|
315 | 845 | self.axes[0].lines[ch].set_data(x, y) |
|
|
316 | 846 | |
|
|
317 | 847 | self.ymin = numpy.nanmin(Y) - 5 |
|
|
318 |
self.ymax = numpy.nanmax(Y) + |
|
|
|
848 | self.ymax = numpy.nanmax(Y) + 10 | |
|
|
319 | 849 | |
|
|
320 | 850 | |
|
|
321 | 851 | class PowerProfilePlot(Plot): |
|
|
322 | 852 | |
|
|
323 | 853 | CODE = 'spcprofile' |
|
|
324 | 854 | plot_type = 'scatter' |
|
|
325 | 855 | buffering = False |
|
|
326 | 856 | |
|
|
327 | 857 | def setup(self): |
|
|
328 | 858 | |
|
|
329 | 859 | self.ncols = 1 |
|
|
330 | 860 | self.nrows = 1 |
|
|
331 | 861 | self.nplots = 1 |
|
|
332 | 862 | self.height = 4 |
|
|
333 | 863 | self.width = 3 |
|
|
334 | 864 | self.ylabel = 'Range [km]' |
|
|
335 | 865 | self.xlabel = 'Intensity [dB]' |
|
|
336 | 866 | self.titles = ['Power Profile'] |
|
|
337 | 867 | self.colorbar = False |
|
|
338 | 868 | |
|
|
339 | 869 | def plot(self): |
|
|
340 | 870 | |
|
|
341 | 871 | y = self.data.heights |
|
|
342 | 872 | self.y = y |
|
|
343 | 873 | |
|
|
344 | 874 | x = self.data['spcprofile'] |
|
|
345 | ||
|
|
875 | ||
|
|
346 | 876 | if self.xmin is None: self.xmin = numpy.nanmin(x)*0.9 |
|
|
347 | 877 | if self.xmax is None: self.xmax = numpy.nanmax(x)*1.1 |
|
|
348 | ||
|
|
878 | ||
|
|
349 | 879 | if self.axes[0].firsttime: |
|
|
350 | 880 | for ch in self.data.channels: |
|
|
351 | 881 | self.axes[0].plot(x[ch], y, lw=1, label='Ch{}'.format(ch)) |
|
|
352 | 882 | plt.legend() |
|
|
353 | 883 | else: |
|
|
354 | 884 | for ch in self.data.channels: |
|
|
355 | 885 | self.axes[0].lines[ch].set_data(x[ch], y) |
|
|
356 | 886 | |
|
|
357 | 887 | |
|
|
358 | 888 | class SpectraCutPlot(Plot): |
|
|
359 | 889 | |
|
|
360 | 890 | CODE = 'spc_cut' |
|
|
361 | 891 | plot_type = 'scatter' |
|
|
362 | 892 | buffering = False |
|
|
363 | 893 | |
|
|
364 | 894 | def setup(self): |
|
|
365 | 895 | |
|
|
366 | 896 | self.nplots = len(self.data.channels) |
|
|
367 | 897 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) |
|
|
368 | 898 | self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) |
|
|
369 | 899 | self.width = 3.4 * self.ncols + 1.5 |
|
|
370 | 900 | self.height = 3 * self.nrows |
|
|
371 | 901 | self.ylabel = 'Power [dB]' |
|
|
372 | 902 | self.colorbar = False |
|
|
373 | 903 | self.plots_adjust.update({'left':0.1, 'hspace':0.3, 'right': 0.75, 'bottom':0.08}) |
|
|
374 | 904 | |
|
|
375 | 905 | def plot(self): |
|
|
376 | 906 | if self.xaxis == "frequency": |
|
|
377 | 907 | x = self.data.xrange[0][1:] |
|
|
378 | 908 | self.xlabel = "Frequency (kHz)" |
|
|
379 | 909 | elif self.xaxis == "time": |
|
|
380 | 910 | x = self.data.xrange[1] |
|
|
381 | 911 | self.xlabel = "Time (ms)" |
|
|
382 | 912 | else: |
|
|
383 | 913 | x = self.data.xrange[2] |
|
|
384 | 914 | self.xlabel = "Velocity (m/s)" |
|
|
385 | 915 | |
|
|
386 | 916 | self.titles = [] |
|
|
387 | 917 | |
|
|
388 | 918 | y = self.data.heights |
|
|
389 | 919 | #self.y = y |
|
|
390 | 920 | z = self.data['spc_cut'] |
|
|
391 | 921 | |
|
|
392 | 922 | if self.height_index: |
|
|
393 | 923 | index = numpy.array(self.height_index) |
|
|
394 | 924 | else: |
|
|
395 | 925 | index = numpy.arange(0, len(y), int((len(y))/9)) |
|
|
396 | 926 | |
|
|
397 | 927 | for n, ax in enumerate(self.axes): |
|
|
398 | 928 | if ax.firsttime: |
|
|
399 | 929 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
400 | 930 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
401 | 931 | self.ymin = self.ymin if self.ymin else numpy.nanmin(z) |
|
|
402 | 932 | self.ymax = self.ymax if self.ymax else numpy.nanmax(z) |
|
|
403 | 933 | ax.plt = ax.plot(x, z[n, :, index].T) |
|
|
404 | 934 | labels = ['Range = {:2.1f}km'.format(y[i]) for i in index] |
|
|
405 | 935 | self.figures[0].legend(ax.plt, labels, loc='center right') |
|
|
406 | 936 | else: |
|
|
407 | 937 | for i, line in enumerate(ax.plt): |
|
|
408 | 938 | line.set_data(x, z[n, :, i]) |
|
|
409 | 939 | self.titles.append('CH {}'.format(n)) |
|
|
410 | 940 | |
|
|
411 | 941 | |
|
|
412 | 942 | class BeaconPhase(Plot): |
|
|
413 | 943 | |
|
|
414 | 944 | __isConfig = None |
|
|
415 | 945 | __nsubplots = None |
|
|
416 | 946 | |
|
|
417 | 947 | PREFIX = 'beacon_phase' |
|
|
418 | 948 | |
|
|
419 | 949 | def __init__(self): |
|
|
420 | 950 | Plot.__init__(self) |
|
|
421 | 951 | self.timerange = 24*60*60 |
|
|
422 | 952 | self.isConfig = False |
|
|
423 | 953 | self.__nsubplots = 1 |
|
|
424 | 954 | self.counter_imagwr = 0 |
|
|
425 | 955 | self.WIDTH = 800 |
|
|
426 | 956 | self.HEIGHT = 400 |
|
|
427 | 957 | self.WIDTHPROF = 120 |
|
|
428 | 958 | self.HEIGHTPROF = 0 |
|
|
429 | 959 | self.xdata = None |
|
|
430 | 960 | self.ydata = None |
|
|
431 | 961 | |
|
|
432 | 962 | self.PLOT_CODE = BEACON_CODE |
|
|
433 | 963 | |
|
|
434 | 964 | self.FTP_WEI = None |
|
|
435 | 965 | self.EXP_CODE = None |
|
|
436 | 966 | self.SUB_EXP_CODE = None |
|
|
437 | 967 | self.PLOT_POS = None |
|
|
438 | 968 | |
|
|
439 | 969 | self.filename_phase = None |
|
|
440 | 970 | |
|
|
441 | 971 | self.figfile = None |
|
|
442 | 972 | |
|
|
443 | 973 | self.xmin = None |
|
|
444 | 974 | self.xmax = None |
|
|
445 | 975 | |
|
|
446 | 976 | def getSubplots(self): |
|
|
447 | 977 | |
|
|
448 | 978 | ncol = 1 |
|
|
449 | 979 | nrow = 1 |
|
|
450 | 980 | |
|
|
451 | 981 | return nrow, ncol |
|
|
452 | 982 | |
|
|
453 | 983 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
454 | 984 | |
|
|
455 | 985 | self.__showprofile = showprofile |
|
|
456 | 986 | self.nplots = nplots |
|
|
457 | 987 | |
|
|
458 | 988 | ncolspan = 7 |
|
|
459 | 989 | colspan = 6 |
|
|
460 | 990 | self.__nsubplots = 2 |
|
|
461 | 991 | |
|
|
462 | 992 | self.createFigure(id = id, |
|
|
463 | 993 | wintitle = wintitle, |
|
|
464 | 994 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
465 | 995 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
466 | 996 | show=show) |
|
|
467 | 997 | |
|
|
468 | 998 | nrow, ncol = self.getSubplots() |
|
|
469 | 999 | |
|
|
470 | 1000 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
471 | 1001 | |
|
|
472 | 1002 | def save_phase(self, filename_phase): |
|
|
473 | 1003 | f = open(filename_phase,'w+') |
|
|
474 | 1004 | f.write('\n\n') |
|
|
475 | 1005 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
|
476 | 1006 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
|
477 | 1007 | f.close() |
|
|
478 | 1008 | |
|
|
479 | 1009 | def save_data(self, filename_phase, data, data_datetime): |
|
|
480 | 1010 | f=open(filename_phase,'a') |
|
|
481 | 1011 | timetuple_data = data_datetime.timetuple() |
|
|
482 | 1012 | day = str(timetuple_data.tm_mday) |
|
|
483 | 1013 | month = str(timetuple_data.tm_mon) |
|
|
484 | 1014 | year = str(timetuple_data.tm_year) |
|
|
485 | 1015 | hour = str(timetuple_data.tm_hour) |
|
|
486 | 1016 | minute = str(timetuple_data.tm_min) |
|
|
487 | 1017 | second = str(timetuple_data.tm_sec) |
|
|
488 | 1018 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
|
489 | 1019 | f.close() |
|
|
490 | 1020 | |
|
|
491 | 1021 | def plot(self): |
|
|
492 | 1022 | log.warning('TODO: Not yet implemented...') |
|
|
493 | 1023 | |
|
|
494 | 1024 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
495 | 1025 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, |
|
|
496 | 1026 | timerange=None, |
|
|
497 | 1027 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
498 | 1028 | server=None, folder=None, username=None, password=None, |
|
|
499 | 1029 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
500 | 1030 | |
|
|
501 |
if dataOut.flagNoData: |
|
|
|
1031 | if dataOut.flagNoData: | |
|
|
502 | 1032 | return dataOut |
|
|
503 | 1033 | |
|
|
504 | 1034 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
505 | 1035 | return |
|
|
506 | 1036 | |
|
|
507 | 1037 | if pairsList == None: |
|
|
508 | 1038 | pairsIndexList = dataOut.pairsIndexList[:10] |
|
|
509 | 1039 | else: |
|
|
510 | 1040 | pairsIndexList = [] |
|
|
511 | 1041 | for pair in pairsList: |
|
|
512 | 1042 | if pair not in dataOut.pairsList: |
|
|
513 | 1043 | raise ValueError("Pair %s is not in dataOut.pairsList" %(pair)) |
|
|
514 | 1044 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
515 | 1045 | |
|
|
516 | 1046 | if pairsIndexList == []: |
|
|
517 | 1047 | return |
|
|
518 | 1048 | |
|
|
519 | 1049 | # if len(pairsIndexList) > 4: |
|
|
520 | 1050 | # pairsIndexList = pairsIndexList[0:4] |
|
|
521 | 1051 | |
|
|
522 | 1052 | hmin_index = None |
|
|
523 | 1053 | hmax_index = None |
|
|
524 | 1054 | |
|
|
525 | 1055 | if hmin != None and hmax != None: |
|
|
526 | 1056 | indexes = numpy.arange(dataOut.nHeights) |
|
|
527 | 1057 | hmin_list = indexes[dataOut.heightList >= hmin] |
|
|
528 | 1058 | hmax_list = indexes[dataOut.heightList <= hmax] |
|
|
529 | 1059 | |
|
|
530 | 1060 | if hmin_list.any(): |
|
|
531 | 1061 | hmin_index = hmin_list[0] |
|
|
532 | 1062 | |
|
|
533 | 1063 | if hmax_list.any(): |
|
|
534 | 1064 | hmax_index = hmax_list[-1]+1 |
|
|
535 | 1065 | |
|
|
536 | 1066 | x = dataOut.getTimeRange() |
|
|
537 | 1067 | |
|
|
538 | 1068 | thisDatetime = dataOut.datatime |
|
|
539 | 1069 | |
|
|
540 | 1070 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
541 | 1071 | xlabel = "Local Time" |
|
|
542 | 1072 | ylabel = "Phase (degrees)" |
|
|
543 | 1073 | |
|
|
544 | 1074 | update_figfile = False |
|
|
545 | 1075 | |
|
|
546 | 1076 | nplots = len(pairsIndexList) |
|
|
547 | 1077 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
|
548 | 1078 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
|
549 | 1079 | for i in range(nplots): |
|
|
550 | 1080 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
551 | 1081 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) |
|
|
552 | 1082 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) |
|
|
553 | 1083 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) |
|
|
554 | 1084 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|
555 | 1085 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|
556 | 1086 | |
|
|
557 | 1087 | if dataOut.beacon_heiIndexList: |
|
|
558 | 1088 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
|
559 | 1089 | else: |
|
|
560 | 1090 | phase_beacon[i] = numpy.average(phase) |
|
|
561 | 1091 | |
|
|
562 | 1092 | if not self.isConfig: |
|
|
563 | 1093 | |
|
|
564 | 1094 | nplots = len(pairsIndexList) |
|
|
565 | 1095 | |
|
|
566 | 1096 | self.setup(id=id, |
|
|
567 | 1097 | nplots=nplots, |
|
|
568 | 1098 | wintitle=wintitle, |
|
|
569 | 1099 | showprofile=showprofile, |
|
|
570 | 1100 | show=show) |
|
|
571 | 1101 | |
|
|
572 | 1102 | if timerange != None: |
|
|
573 | 1103 | self.timerange = timerange |
|
|
574 | 1104 | |
|
|
575 | 1105 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
576 | 1106 | |
|
|
577 | 1107 | if ymin == None: ymin = 0 |
|
|
578 | 1108 | if ymax == None: ymax = 360 |
|
|
579 | 1109 | |
|
|
580 | 1110 | self.FTP_WEI = ftp_wei |
|
|
581 | 1111 | self.EXP_CODE = exp_code |
|
|
582 | 1112 | self.SUB_EXP_CODE = sub_exp_code |
|
|
583 | 1113 | self.PLOT_POS = plot_pos |
|
|
584 | 1114 | |
|
|
585 | 1115 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
586 | 1116 | self.isConfig = True |
|
|
587 | 1117 | self.figfile = figfile |
|
|
588 | 1118 | self.xdata = numpy.array([]) |
|
|
589 | 1119 | self.ydata = numpy.array([]) |
|
|
590 | 1120 | |
|
|
591 | 1121 | update_figfile = True |
|
|
592 | 1122 | |
|
|
593 | 1123 | #open file beacon phase |
|
|
594 | 1124 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
595 | 1125 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
|
596 | 1126 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
|
597 | 1127 | #self.save_phase(self.filename_phase) |
|
|
598 | 1128 | |
|
|
599 | 1129 | |
|
|
600 | 1130 | #store data beacon phase |
|
|
601 | 1131 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
|
602 | 1132 | |
|
|
603 | 1133 | self.setWinTitle(title) |
|
|
604 | 1134 | |
|
|
605 | 1135 | |
|
|
606 | 1136 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
607 | 1137 | |
|
|
608 | 1138 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
|
609 | 1139 | |
|
|
610 | 1140 | axes = self.axesList[0] |
|
|
611 | 1141 | |
|
|
612 | 1142 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
613 | 1143 | |
|
|
614 | 1144 | if len(self.ydata)==0: |
|
|
615 | 1145 | self.ydata = phase_beacon.reshape(-1,1) |
|
|
616 | 1146 | else: |
|
|
617 | 1147 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
|
618 | 1148 | |
|
|
619 | 1149 | |
|
|
620 | 1150 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
621 | 1151 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
622 | 1152 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
623 | 1153 | XAxisAsTime=True, grid='both' |
|
|
624 | 1154 | ) |
|
|
625 | 1155 | |
|
|
626 | 1156 | self.draw() |
|
|
627 | 1157 | |
|
|
628 | 1158 | if dataOut.ltctime >= self.xmax: |
|
|
629 | 1159 | self.counter_imagwr = wr_period |
|
|
630 | 1160 | self.isConfig = False |
|
|
631 | 1161 | update_figfile = True |
|
|
632 | 1162 | |
|
|
633 | 1163 | self.save(figpath=figpath, |
|
|
634 | 1164 | figfile=figfile, |
|
|
635 | 1165 | save=save, |
|
|
636 | 1166 | ftp=ftp, |
|
|
637 | 1167 | wr_period=wr_period, |
|
|
638 | 1168 | thisDatetime=thisDatetime, |
|
|
639 | 1169 | update_figfile=update_figfile) |
|
|
640 | 1170 | |
|
|
641 | return dataOut No newline at end of file | |
|
|
1171 | return dataOut | |
| @@ -1,24 +1,29 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: murco $ |
|
|
4 | 4 | $Id: JRODataIO.py 169 2012-11-19 21:57:03Z murco $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | from .jroIO_voltage import * |
|
|
8 | 8 | from .jroIO_spectra import * |
|
|
9 | 9 | from .jroIO_heispectra import * |
|
|
10 | 10 | from .jroIO_usrp import * |
|
|
11 | 11 | from .jroIO_digitalRF import * |
|
|
12 | 12 | from .jroIO_kamisr import * |
|
|
13 | 13 | from .jroIO_param import * |
|
|
14 | 14 | from .jroIO_hf import * |
|
|
15 | 15 | |
|
|
16 | 16 | from .jroIO_madrigal import * |
|
|
17 | 17 | |
|
|
18 | 18 | from .bltrIO_param import * |
|
|
19 | 19 | from .bltrIO_spectra import * |
|
|
20 | 20 | from .jroIO_mira35c import * |
|
|
21 | 21 | from .julIO_param import * |
|
|
22 | 22 | |
|
|
23 | 23 | from .pxIO_param import * |
|
|
24 | from .jroIO_simulator import * No newline at end of file | |
|
|
24 | from .jroIO_simulator import * | |
|
|
25 | ||
|
|
26 | ############DP############ | |
|
|
27 | from .jroIO_dat import * | |
|
|
28 | ||
|
|
29 | ############DP############ | |
| @@ -1,1575 +1,1615 | |||
|
|
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 zmq |
|
|
16 | 16 | |
|
|
17 | 17 | from schainpy.model.proc.jroproc_base import Operation, MPDecorator |
|
|
18 | 18 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
19 | 19 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width |
|
|
20 | 20 | from schainpy.utils import log |
|
|
21 | 21 | import schainpy.admin |
|
|
22 | 22 | |
|
|
23 | 23 | LOCALTIME = True |
|
|
24 | 24 | DT_DIRECTIVES = { |
|
|
25 | 25 | '%Y': 4, |
|
|
26 | 26 | '%y': 2, |
|
|
27 | 27 | '%m': 2, |
|
|
28 | 28 | '%d': 2, |
|
|
29 | 29 | '%j': 3, |
|
|
30 | 30 | '%H': 2, |
|
|
31 | 31 | '%M': 2, |
|
|
32 | 32 | '%S': 2, |
|
|
33 | 33 | '%f': 6 |
|
|
34 | 34 | } |
|
|
35 | 35 | |
|
|
36 | 36 | |
|
|
37 | 37 | def isNumber(cad): |
|
|
38 | 38 | """ |
|
|
39 | 39 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
40 | 40 | |
|
|
41 | 41 | Excepciones: |
|
|
42 | 42 | Si un determinado string no puede ser convertido a numero |
|
|
43 | 43 | Input: |
|
|
44 | 44 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
45 | 45 | |
|
|
46 | 46 | Return: |
|
|
47 | 47 | True : si el string es uno numerico |
|
|
48 | 48 | False : no es un string numerico |
|
|
49 | 49 | """ |
|
|
50 | 50 | try: |
|
|
51 | 51 | float(cad) |
|
|
52 | 52 | return True |
|
|
53 | 53 | except: |
|
|
54 | 54 | return False |
|
|
55 | 55 | |
|
|
56 | 56 | |
|
|
57 | 57 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): |
|
|
58 | 58 | """ |
|
|
59 | 59 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
60 | 60 | |
|
|
61 | 61 | Inputs: |
|
|
62 | 62 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
63 | 63 | |
|
|
64 | 64 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
65 | 65 | segundos contados desde 01/01/1970. |
|
|
66 | 66 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
67 | 67 | segundos contados desde 01/01/1970. |
|
|
68 | 68 | |
|
|
69 | 69 | Return: |
|
|
70 | 70 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
71 | 71 | fecha especificado, de lo contrario retorna False. |
|
|
72 | 72 | |
|
|
73 | 73 | Excepciones: |
|
|
74 | 74 | Si el archivo no existe o no puede ser abierto |
|
|
75 | 75 | Si la cabecera no puede ser leida. |
|
|
76 | 76 | |
|
|
77 | 77 | """ |
|
|
78 | 78 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
79 | 79 | |
|
|
80 | 80 | try: |
|
|
81 | ||
|
|
81 | 82 | fp = open(filename, 'rb') |
|
|
82 | 83 | except IOError: |
|
|
83 | 84 | print("The file %s can't be opened" % (filename)) |
|
|
84 | 85 | return 0 |
|
|
85 | 86 | |
|
|
86 | 87 | sts = basicHeaderObj.read(fp) |
|
|
87 | 88 | fp.close() |
|
|
88 | 89 | |
|
|
89 | 90 | if not(sts): |
|
|
90 | 91 | print("Skipping the file %s because it has not a valid header" % (filename)) |
|
|
91 | 92 | return 0 |
|
|
92 | 93 | |
|
|
93 | 94 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
94 | 95 | return 0 |
|
|
95 | 96 | |
|
|
96 | 97 | return 1 |
|
|
97 | 98 | |
|
|
98 | 99 | |
|
|
99 | 100 | def isTimeInRange(thisTime, startTime, endTime): |
|
|
100 | 101 | if endTime >= startTime: |
|
|
101 | 102 | if (thisTime < startTime) or (thisTime > endTime): |
|
|
102 | 103 | return 0 |
|
|
103 | 104 | return 1 |
|
|
104 | 105 | else: |
|
|
105 | 106 | if (thisTime < startTime) and (thisTime > endTime): |
|
|
106 | 107 | return 0 |
|
|
107 | 108 | return 1 |
|
|
108 | 109 | |
|
|
109 | 110 | |
|
|
110 | 111 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): |
|
|
111 | 112 | """ |
|
|
112 | 113 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
113 | 114 | |
|
|
114 | 115 | Inputs: |
|
|
115 | 116 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
116 | 117 | |
|
|
117 | 118 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
118 | 119 | |
|
|
119 | 120 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
120 | 121 | |
|
|
121 | 122 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
122 | 123 | |
|
|
123 | 124 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
124 | 125 | |
|
|
125 | 126 | Return: |
|
|
126 | 127 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
127 | 128 | fecha especificado, de lo contrario retorna False. |
|
|
128 | 129 | |
|
|
129 | 130 | Excepciones: |
|
|
130 | 131 | Si el archivo no existe o no puede ser abierto |
|
|
131 | 132 | Si la cabecera no puede ser leida. |
|
|
132 | 133 | |
|
|
133 | 134 | """ |
|
|
134 | 135 | |
|
|
135 | 136 | try: |
|
|
136 | 137 | fp = open(filename, 'rb') |
|
|
137 | 138 | except IOError: |
|
|
138 | 139 | print("The file %s can't be opened" % (filename)) |
|
|
139 | 140 | return None |
|
|
140 | 141 | |
|
|
141 | 142 | firstBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
142 | 143 | systemHeaderObj = SystemHeader() |
|
|
144 | ||
|
|
143 | 145 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
144 | 146 | processingHeaderObj = ProcessingHeader() |
|
|
145 | 147 | |
|
|
146 | 148 | lastBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
147 | 149 | |
|
|
148 | 150 | sts = firstBasicHeaderObj.read(fp) |
|
|
149 | 151 | |
|
|
150 | 152 | if not(sts): |
|
|
151 | 153 | print("[Reading] Skipping the file %s because it has not a valid header" % (filename)) |
|
|
152 | 154 | return None |
|
|
153 | 155 | |
|
|
154 | 156 | if not systemHeaderObj.read(fp): |
|
|
155 | 157 | return None |
|
|
156 | 158 | |
|
|
157 | 159 | if not radarControllerHeaderObj.read(fp): |
|
|
158 | 160 | return None |
|
|
159 | 161 | |
|
|
160 | 162 | if not processingHeaderObj.read(fp): |
|
|
161 | 163 | return None |
|
|
162 | 164 | |
|
|
163 | 165 | filesize = os.path.getsize(filename) |
|
|
164 | 166 | |
|
|
165 | 167 | offset = processingHeaderObj.blockSize + 24 # header size |
|
|
166 | 168 | |
|
|
167 | 169 | if filesize <= offset: |
|
|
168 | 170 | print("[Reading] %s: This file has not enough data" % filename) |
|
|
169 | 171 | return None |
|
|
170 | 172 | |
|
|
171 | 173 | fp.seek(-offset, 2) |
|
|
172 | 174 | |
|
|
173 | 175 | sts = lastBasicHeaderObj.read(fp) |
|
|
174 | 176 | |
|
|
175 | 177 | fp.close() |
|
|
176 | 178 | |
|
|
177 | 179 | thisDatetime = lastBasicHeaderObj.datatime |
|
|
178 | 180 | thisTime_last_block = thisDatetime.time() |
|
|
179 | 181 | |
|
|
180 | 182 | thisDatetime = firstBasicHeaderObj.datatime |
|
|
181 | 183 | thisDate = thisDatetime.date() |
|
|
182 | 184 | thisTime_first_block = thisDatetime.time() |
|
|
183 | 185 | |
|
|
184 | 186 | # General case |
|
|
185 | 187 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
|
186 | 188 | #-----------o----------------------------o----------- |
|
|
187 | 189 | # startTime endTime |
|
|
188 | 190 | |
|
|
189 | 191 | if endTime >= startTime: |
|
|
190 | 192 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): |
|
|
191 | 193 | return None |
|
|
192 | 194 | |
|
|
193 | 195 | return thisDatetime |
|
|
194 | 196 | |
|
|
195 | 197 | # If endTime < startTime then endTime belongs to the next day |
|
|
196 | 198 | |
|
|
197 | 199 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
|
198 | 200 | #-----------o----------------------------o----------- |
|
|
199 | 201 | # endTime startTime |
|
|
200 | 202 | |
|
|
201 | 203 | if (thisDate == startDate) and (thisTime_last_block < startTime): |
|
|
202 | 204 | return None |
|
|
203 | 205 | |
|
|
204 | 206 | if (thisDate == endDate) and (thisTime_first_block > endTime): |
|
|
205 | 207 | return None |
|
|
206 | 208 | |
|
|
207 | 209 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): |
|
|
208 | 210 | return None |
|
|
209 | 211 | |
|
|
210 | 212 | return thisDatetime |
|
|
211 | 213 | |
|
|
212 | 214 | |
|
|
213 | 215 | def isFolderInDateRange(folder, startDate=None, endDate=None): |
|
|
214 | 216 | """ |
|
|
215 | 217 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
216 | 218 | |
|
|
217 | 219 | Inputs: |
|
|
218 | 220 | folder : nombre completo del directorio. |
|
|
219 | 221 | Su formato deberia ser "/path_root/?YYYYDDD" |
|
|
220 | 222 | |
|
|
221 | 223 | siendo: |
|
|
222 | 224 | YYYY : Anio (ejemplo 2015) |
|
|
223 | 225 | DDD : Dia del anio (ejemplo 305) |
|
|
224 | 226 | |
|
|
225 | 227 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
226 | 228 | |
|
|
227 | 229 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
228 | 230 | |
|
|
229 | 231 | Return: |
|
|
230 | 232 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
231 | 233 | fecha especificado, de lo contrario retorna False. |
|
|
232 | 234 | Excepciones: |
|
|
233 | 235 | Si el directorio no tiene el formato adecuado |
|
|
234 | 236 | """ |
|
|
235 | 237 | |
|
|
236 | 238 | basename = os.path.basename(folder) |
|
|
237 | 239 | |
|
|
238 | 240 | if not isRadarFolder(basename): |
|
|
239 | 241 | print("The folder %s has not the rigth format" % folder) |
|
|
240 | 242 | return 0 |
|
|
241 | 243 | |
|
|
242 | 244 | if startDate and endDate: |
|
|
243 | 245 | thisDate = getDateFromRadarFolder(basename) |
|
|
244 | 246 | |
|
|
245 | 247 | if thisDate < startDate: |
|
|
246 | 248 | return 0 |
|
|
247 | 249 | |
|
|
248 | 250 | if thisDate > endDate: |
|
|
249 | 251 | return 0 |
|
|
250 | 252 | |
|
|
251 | 253 | return 1 |
|
|
252 | 254 | |
|
|
253 | 255 | |
|
|
254 | 256 | def isFileInDateRange(filename, startDate=None, endDate=None): |
|
|
255 | 257 | """ |
|
|
256 | 258 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
257 | 259 | |
|
|
258 | 260 | Inputs: |
|
|
259 | 261 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
260 | 262 | |
|
|
261 | 263 | Su formato deberia ser "?YYYYDDDsss" |
|
|
262 | 264 | |
|
|
263 | 265 | siendo: |
|
|
264 | 266 | YYYY : Anio (ejemplo 2015) |
|
|
265 | 267 | DDD : Dia del anio (ejemplo 305) |
|
|
266 | 268 | sss : set |
|
|
267 | 269 | |
|
|
268 | 270 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
269 | 271 | |
|
|
270 | 272 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
271 | 273 | |
|
|
272 | 274 | Return: |
|
|
273 | 275 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
274 | 276 | fecha especificado, de lo contrario retorna False. |
|
|
275 | 277 | Excepciones: |
|
|
276 | 278 | Si el archivo no tiene el formato adecuado |
|
|
277 | 279 | """ |
|
|
278 | 280 | |
|
|
279 | 281 | basename = os.path.basename(filename) |
|
|
280 | 282 | |
|
|
281 | 283 | if not isRadarFile(basename): |
|
|
282 | 284 | print("The filename %s has not the rigth format" % filename) |
|
|
283 | 285 | return 0 |
|
|
284 | 286 | |
|
|
285 | 287 | if startDate and endDate: |
|
|
286 | 288 | thisDate = getDateFromRadarFile(basename) |
|
|
287 | 289 | |
|
|
288 | 290 | if thisDate < startDate: |
|
|
289 | 291 | return 0 |
|
|
290 | 292 | |
|
|
291 | 293 | if thisDate > endDate: |
|
|
292 | 294 | return 0 |
|
|
293 | 295 | |
|
|
294 | 296 | return 1 |
|
|
295 | 297 | |
|
|
296 | 298 | |
|
|
297 | 299 | def getFileFromSet(path, ext, set): |
|
|
298 | 300 | validFilelist = [] |
|
|
299 | 301 | fileList = os.listdir(path) |
|
|
300 | 302 | |
|
|
301 | 303 | # 0 1234 567 89A BCDE |
|
|
302 | 304 | # H YYYY DDD SSS .ext |
|
|
303 | 305 | |
|
|
304 | 306 | for thisFile in fileList: |
|
|
305 | 307 | try: |
|
|
306 | 308 | year = int(thisFile[1:5]) |
|
|
307 | 309 | doy = int(thisFile[5:8]) |
|
|
308 | 310 | except: |
|
|
309 | 311 | continue |
|
|
310 | 312 | |
|
|
311 | 313 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
312 | 314 | continue |
|
|
313 | 315 | |
|
|
314 | 316 | validFilelist.append(thisFile) |
|
|
315 | 317 | |
|
|
316 | 318 | myfile = fnmatch.filter( |
|
|
317 | 319 | validFilelist, '*%4.4d%3.3d%3.3d*' % (year, doy, set)) |
|
|
318 | 320 | |
|
|
319 | 321 | if len(myfile) != 0: |
|
|
320 | 322 | return myfile[0] |
|
|
321 | 323 | else: |
|
|
322 | 324 | filename = '*%4.4d%3.3d%3.3d%s' % (year, doy, set, ext.lower()) |
|
|
323 | 325 | print('the filename %s does not exist' % filename) |
|
|
324 | 326 | print('...going to the last file: ') |
|
|
325 | 327 | |
|
|
326 | 328 | if validFilelist: |
|
|
327 | 329 | validFilelist = sorted(validFilelist, key=str.lower) |
|
|
328 | 330 | return validFilelist[-1] |
|
|
329 | 331 | |
|
|
330 | 332 | return None |
|
|
331 | 333 | |
|
|
332 | 334 | |
|
|
333 | 335 | def getlastFileFromPath(path, ext): |
|
|
334 | 336 | """ |
|
|
335 | 337 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
336 | 338 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
337 | 339 | |
|
|
338 | 340 | Input: |
|
|
339 | 341 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
340 | 342 | ext : extension de los files contenidos en una carpeta |
|
|
341 | 343 | |
|
|
342 | 344 | Return: |
|
|
343 | 345 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
344 | 346 | """ |
|
|
345 | 347 | validFilelist = [] |
|
|
346 | 348 | fileList = os.listdir(path) |
|
|
347 | 349 | |
|
|
348 | 350 | # 0 1234 567 89A BCDE |
|
|
349 | 351 | # H YYYY DDD SSS .ext |
|
|
350 | 352 | |
|
|
351 | 353 | for thisFile in fileList: |
|
|
352 | 354 | |
|
|
353 | 355 | year = thisFile[1:5] |
|
|
354 | 356 | if not isNumber(year): |
|
|
355 | 357 | continue |
|
|
356 | 358 | |
|
|
357 | 359 | doy = thisFile[5:8] |
|
|
358 | 360 | if not isNumber(doy): |
|
|
359 | 361 | continue |
|
|
360 | 362 | |
|
|
361 | 363 | year = int(year) |
|
|
362 | 364 | doy = int(doy) |
|
|
363 | 365 | |
|
|
364 | 366 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
365 | 367 | continue |
|
|
366 | 368 | |
|
|
367 | 369 | validFilelist.append(thisFile) |
|
|
368 | 370 | |
|
|
369 | 371 | if validFilelist: |
|
|
370 | 372 | validFilelist = sorted(validFilelist, key=str.lower) |
|
|
371 | 373 | return validFilelist[-1] |
|
|
372 | 374 | |
|
|
373 | 375 | return None |
|
|
374 | 376 | |
|
|
375 | 377 | |
|
|
376 | 378 | def isRadarFolder(folder): |
|
|
377 | 379 | try: |
|
|
378 | 380 | year = int(folder[1:5]) |
|
|
379 | 381 | doy = int(folder[5:8]) |
|
|
380 | 382 | except: |
|
|
381 | 383 | return 0 |
|
|
382 | 384 | |
|
|
383 | 385 | return 1 |
|
|
384 | 386 | |
|
|
385 | 387 | |
|
|
386 | 388 | def isRadarFile(file): |
|
|
387 |
try: |
|
|
|
389 | try: | |
|
|
388 | 390 | year = int(file[1:5]) |
|
|
389 | 391 | doy = int(file[5:8]) |
|
|
390 | 392 | set = int(file[8:11]) |
|
|
391 | 393 | except: |
|
|
392 | 394 | return 0 |
|
|
393 | 395 | |
|
|
394 | 396 | return 1 |
|
|
395 | 397 | |
|
|
396 | 398 | |
|
|
397 | 399 | def getDateFromRadarFile(file): |
|
|
398 |
try: |
|
|
|
400 | try: | |
|
|
399 | 401 | year = int(file[1:5]) |
|
|
400 | 402 | doy = int(file[5:8]) |
|
|
401 |
set = int(file[8:11]) |
|
|
|
403 | set = int(file[8:11]) | |
|
|
402 | 404 | except: |
|
|
403 | 405 | return None |
|
|
404 | 406 | |
|
|
405 | 407 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
406 | 408 | return thisDate |
|
|
407 | 409 | |
|
|
408 | 410 | |
|
|
409 | 411 | def getDateFromRadarFolder(folder): |
|
|
410 | 412 | try: |
|
|
411 | 413 | year = int(folder[1:5]) |
|
|
412 | 414 | doy = int(folder[5:8]) |
|
|
413 | 415 | except: |
|
|
414 | 416 | return None |
|
|
415 | 417 | |
|
|
416 | 418 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
417 | 419 | return thisDate |
|
|
418 | 420 | |
|
|
419 | 421 | def parse_format(s, fmt): |
|
|
420 | ||
|
|
422 | ||
|
|
421 | 423 | for i in range(fmt.count('%')): |
|
|
422 | 424 | x = fmt.index('%') |
|
|
423 | 425 | d = DT_DIRECTIVES[fmt[x:x+2]] |
|
|
424 | 426 | fmt = fmt.replace(fmt[x:x+2], s[x:x+d]) |
|
|
425 | 427 | return fmt |
|
|
426 | 428 | |
|
|
427 | 429 | class Reader(object): |
|
|
428 | 430 | |
|
|
429 | 431 | c = 3E8 |
|
|
430 | 432 | isConfig = False |
|
|
431 | 433 | dtype = None |
|
|
432 | 434 | pathList = [] |
|
|
433 | 435 | filenameList = [] |
|
|
434 | 436 | datetimeList = [] |
|
|
435 | 437 | filename = None |
|
|
436 | 438 | ext = None |
|
|
437 | 439 | flagIsNewFile = 1 |
|
|
438 | 440 | flagDiscontinuousBlock = 0 |
|
|
439 | 441 | flagIsNewBlock = 0 |
|
|
440 | 442 | flagNoMoreFiles = 0 |
|
|
441 | 443 | fp = None |
|
|
442 | 444 | firstHeaderSize = 0 |
|
|
443 | 445 | basicHeaderSize = 24 |
|
|
444 | 446 | versionFile = 1103 |
|
|
445 | 447 | fileSize = None |
|
|
446 | 448 | fileSizeByHeader = None |
|
|
447 | 449 | fileIndex = -1 |
|
|
448 | 450 | profileIndex = None |
|
|
449 | 451 | blockIndex = 0 |
|
|
450 | 452 | nTotalBlocks = 0 |
|
|
451 | 453 | maxTimeStep = 30 |
|
|
452 | 454 | lastUTTime = None |
|
|
453 | 455 | datablock = None |
|
|
454 | 456 | dataOut = None |
|
|
455 | 457 | getByBlock = False |
|
|
456 | 458 | path = None |
|
|
457 | 459 | startDate = None |
|
|
458 | 460 | endDate = None |
|
|
459 | 461 | startTime = datetime.time(0, 0, 0) |
|
|
460 | 462 | endTime = datetime.time(23, 59, 59) |
|
|
461 | 463 | set = None |
|
|
462 | 464 | expLabel = "" |
|
|
463 | 465 | online = False |
|
|
464 | 466 | delay = 60 |
|
|
465 | 467 | nTries = 3 # quantity tries |
|
|
466 | 468 | nFiles = 3 # number of files for searching |
|
|
467 | 469 | walk = True |
|
|
468 | 470 | getblock = False |
|
|
469 | 471 | nTxs = 1 |
|
|
470 | 472 | realtime = False |
|
|
471 | 473 | blocksize = 0 |
|
|
472 | 474 | blocktime = None |
|
|
473 | 475 | warnings = True |
|
|
474 | 476 | verbose = True |
|
|
475 | 477 | server = None |
|
|
476 | 478 | format = None |
|
|
477 | 479 | oneDDict = None |
|
|
478 | 480 | twoDDict = None |
|
|
479 | 481 | independentParam = None |
|
|
480 | 482 | filefmt = None |
|
|
481 | 483 | folderfmt = None |
|
|
482 | 484 | open_file = open |
|
|
483 | 485 | open_mode = 'rb' |
|
|
484 | 486 | |
|
|
485 | 487 | def run(self): |
|
|
486 | 488 | |
|
|
487 |
raise NotImplementedError |
|
|
|
489 | raise NotImplementedError | |
|
|
488 | 490 | |
|
|
489 | 491 | def getAllowedArgs(self): |
|
|
490 | 492 | if hasattr(self, '__attrs__'): |
|
|
491 | 493 | return self.__attrs__ |
|
|
492 | 494 | else: |
|
|
493 | 495 | return inspect.getargspec(self.run).args |
|
|
494 | 496 | |
|
|
495 | 497 | def set_kwargs(self, **kwargs): |
|
|
496 | 498 | |
|
|
497 | 499 | for key, value in kwargs.items(): |
|
|
498 | 500 | setattr(self, key, value) |
|
|
499 | ||
|
|
501 | ||
|
|
500 | 502 | def find_folders(self, path, startDate, endDate, folderfmt, last=False): |
|
|
501 | 503 | |
|
|
502 |
folders = [x for f in path.split(',') |
|
|
|
504 | folders = [x for f in path.split(',') | |
|
|
503 | 505 | for x in os.listdir(f) if os.path.isdir(os.path.join(f, x))] |
|
|
504 | 506 | folders.sort() |
|
|
505 | 507 | |
|
|
506 | 508 | if last: |
|
|
507 | 509 | folders = [folders[-1]] |
|
|
508 | 510 | |
|
|
509 |
for folder in folders: |
|
|
|
510 |
try: |
|
|
|
511 |
dt = datetime.datetime.strptime(parse_format(folder, folderfmt), folderfmt).date() |
|
|
|
511 | for folder in folders: | |
|
|
512 | try: | |
|
|
513 | dt = datetime.datetime.strptime(parse_format(folder, folderfmt), folderfmt).date() | |
|
|
512 | 514 | if dt >= startDate and dt <= endDate: |
|
|
513 | 515 | yield os.path.join(path, folder) |
|
|
514 | 516 | else: |
|
|
515 | 517 | log.log('Skiping folder {}'.format(folder), self.name) |
|
|
516 | 518 | except Exception as e: |
|
|
517 | 519 | log.log('Skiping folder {}'.format(folder), self.name) |
|
|
518 | 520 | continue |
|
|
519 | 521 | return |
|
|
520 | ||
|
|
521 |
def find_files(self, folders, ext, filefmt, startDate=None, endDate=None, |
|
|
|
522 | ||
|
|
523 | def find_files(self, folders, ext, filefmt, startDate=None, endDate=None, | |
|
|
522 | 524 | expLabel='', last=False): |
|
|
523 | ||
|
|
524 |
for path in folders: |
|
|
|
525 | ||
|
|
526 | for path in folders: | |
|
|
525 | 527 | files = glob.glob1(path, '*{}'.format(ext)) |
|
|
526 | 528 | files.sort() |
|
|
527 | 529 | if last: |
|
|
528 |
if files: |
|
|
|
530 | if files: | |
|
|
529 | 531 | fo = files[-1] |
|
|
530 |
try: |
|
|
|
532 | try: | |
|
|
531 | 533 | dt = datetime.datetime.strptime(parse_format(fo, filefmt), filefmt).date() |
|
|
532 |
yield os.path.join(path, expLabel, fo) |
|
|
|
533 |
except Exception as e: |
|
|
|
534 | yield os.path.join(path, expLabel, fo) | |
|
|
535 | except Exception as e: | |
|
|
534 | 536 | pass |
|
|
535 | 537 | return |
|
|
536 | 538 | else: |
|
|
537 | 539 | return |
|
|
538 | 540 | |
|
|
539 | 541 | for fo in files: |
|
|
540 |
try: |
|
|
|
541 |
dt = datetime.datetime.strptime(parse_format(fo, filefmt), filefmt).date() |
|
|
|
542 | try: | |
|
|
543 | dt = datetime.datetime.strptime(parse_format(fo, filefmt), filefmt).date() | |
|
|
544 | #print(dt) | |
|
|
545 | #print(startDate) | |
|
|
546 | #print(endDate) | |
|
|
542 | 547 | if dt >= startDate and dt <= endDate: |
|
|
548 | ||
|
|
543 | 549 | yield os.path.join(path, expLabel, fo) |
|
|
550 | ||
|
|
544 | 551 | else: |
|
|
552 | ||
|
|
545 | 553 | log.log('Skiping file {}'.format(fo), self.name) |
|
|
546 | 554 | except Exception as e: |
|
|
547 | 555 | log.log('Skiping file {}'.format(fo), self.name) |
|
|
548 |
continue |
|
|
|
556 | continue | |
|
|
549 | 557 | |
|
|
550 | 558 | def searchFilesOffLine(self, path, startDate, endDate, |
|
|
551 |
expLabel, ext, walk, |
|
|
|
559 | expLabel, ext, walk, | |
|
|
552 | 560 | filefmt, folderfmt): |
|
|
553 | 561 | """Search files in offline mode for the given arguments |
|
|
554 | 562 | |
|
|
555 | 563 | Return: |
|
|
556 | 564 | Generator of files |
|
|
557 | 565 | """ |
|
|
558 | 566 | |
|
|
559 | 567 | if walk: |
|
|
560 | 568 | folders = self.find_folders( |
|
|
561 | 569 | path, startDate, endDate, folderfmt) |
|
|
562 | 570 | else: |
|
|
563 | 571 | folders = path.split(',') |
|
|
564 | ||
|
|
572 | ||
|
|
565 | 573 | return self.find_files( |
|
|
566 |
folders, ext, filefmt, startDate, endDate, expLabel) |
|
|
|
574 | folders, ext, filefmt, startDate, endDate, expLabel) | |
|
|
567 | 575 | |
|
|
568 | 576 | def searchFilesOnLine(self, path, startDate, endDate, |
|
|
569 |
expLabel, ext, walk, |
|
|
|
577 | expLabel, ext, walk, | |
|
|
570 | 578 | filefmt, folderfmt): |
|
|
571 | 579 | """Search for the last file of the last folder |
|
|
572 | 580 | |
|
|
573 | 581 | Arguments: |
|
|
574 | 582 | path : carpeta donde estan contenidos los files que contiene data |
|
|
575 | 583 | expLabel : Nombre del subexperimento (subfolder) |
|
|
576 | 584 | ext : extension de los files |
|
|
577 | 585 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
578 | 586 | |
|
|
579 | 587 | Return: |
|
|
580 | 588 | generator with the full path of last filename |
|
|
581 | 589 | """ |
|
|
582 | ||
|
|
590 | ||
|
|
583 | 591 | if walk: |
|
|
584 | 592 | folders = self.find_folders( |
|
|
585 | 593 | path, startDate, endDate, folderfmt, last=True) |
|
|
586 | 594 | else: |
|
|
587 | 595 | folders = path.split(',') |
|
|
588 | ||
|
|
596 | ||
|
|
589 | 597 | return self.find_files( |
|
|
590 | 598 | folders, ext, filefmt, startDate, endDate, expLabel, last=True) |
|
|
591 | 599 | |
|
|
592 | 600 | def setNextFile(self): |
|
|
593 | 601 | """Set the next file to be readed open it and parse de file header""" |
|
|
594 | 602 | |
|
|
603 | #print("fp: ",self.fp) | |
|
|
595 | 604 | while True: |
|
|
605 | ||
|
|
606 | #print(self.fp) | |
|
|
596 | 607 | if self.fp != None: |
|
|
597 |
self.fp.close() |
|
|
|
608 | self.fp.close() | |
|
|
598 | 609 | |
|
|
610 | #print("setNextFile") | |
|
|
611 | #print("BEFORE OPENING",self.filename) | |
|
|
599 | 612 | if self.online: |
|
|
600 | 613 | newFile = self.setNextFileOnline() |
|
|
614 | ||
|
|
601 | 615 | else: |
|
|
616 | ||
|
|
602 | 617 | newFile = self.setNextFileOffline() |
|
|
603 | ||
|
|
618 | ||
|
|
619 | #print("newFile: ",newFile) | |
|
|
604 | 620 | if not(newFile): |
|
|
621 | ||
|
|
605 | 622 | if self.online: |
|
|
606 | 623 | raise schainpy.admin.SchainError('Time to wait for new files reach') |
|
|
607 | 624 | else: |
|
|
608 | 625 | if self.fileIndex == -1: |
|
|
626 | #print("OKK") | |
|
|
609 | 627 | raise schainpy.admin.SchainWarning('No files found in the given path') |
|
|
610 | 628 | else: |
|
|
629 | ||
|
|
611 | 630 | raise schainpy.admin.SchainWarning('No more files to read') |
|
|
612 | ||
|
|
631 | ||
|
|
613 | 632 | if self.verifyFile(self.filename): |
|
|
633 | ||
|
|
614 | 634 | break |
|
|
615 | ||
|
|
635 | ||
|
|
636 | ##print("BEFORE OPENING",self.filename) | |
|
|
637 | ||
|
|
616 | 638 | log.log('Opening file: %s' % self.filename, self.name) |
|
|
617 | 639 | |
|
|
618 | 640 | self.readFirstHeader() |
|
|
619 | 641 | self.nReadBlocks = 0 |
|
|
620 | 642 | |
|
|
621 | 643 | def setNextFileOnline(self): |
|
|
622 | 644 | """Check for the next file to be readed in online mode. |
|
|
623 | 645 | |
|
|
624 | 646 | Set: |
|
|
625 | 647 | self.filename |
|
|
626 | 648 | self.fp |
|
|
627 | 649 | self.filesize |
|
|
628 | ||
|
|
650 | ||
|
|
629 | 651 | Return: |
|
|
630 | 652 | boolean |
|
|
631 | 653 | |
|
|
632 | 654 | """ |
|
|
655 | ||
|
|
633 | 656 | nextFile = True |
|
|
634 | 657 | nextDay = False |
|
|
635 | 658 | |
|
|
636 |
for nFiles in range(self.nFiles+1): |
|
|
|
659 | for nFiles in range(self.nFiles+1): | |
|
|
637 | 660 | for nTries in range(self.nTries): |
|
|
638 | 661 | fullfilename, filename = self.checkForRealPath(nextFile, nextDay) |
|
|
639 | 662 | if fullfilename is not None: |
|
|
640 | 663 | break |
|
|
641 | 664 | log.warning( |
|
|
642 | 665 | "Waiting %0.2f sec for the next file: \"%s\" , try %02d ..." % (self.delay, filename, nTries + 1), |
|
|
643 | 666 | self.name) |
|
|
644 | 667 | time.sleep(self.delay) |
|
|
645 | 668 | nextFile = False |
|
|
646 |
continue |
|
|
|
647 | ||
|
|
669 | continue | |
|
|
670 | ||
|
|
648 | 671 | if fullfilename is not None: |
|
|
649 | 672 | break |
|
|
650 | ||
|
|
651 | self.nTries = 1 | |
|
|
652 |
nextFile = True |
|
|
|
673 | ||
|
|
674 | #self.nTries = 1 | |
|
|
675 | nextFile = True | |
|
|
653 | 676 | |
|
|
654 | 677 | if nFiles == (self.nFiles - 1): |
|
|
655 | 678 | log.log('Trying with next day...', self.name) |
|
|
656 | 679 | nextDay = True |
|
|
657 |
self.nTries = 3 |
|
|
|
680 | self.nTries = 3 | |
|
|
658 | 681 | |
|
|
659 | 682 | if fullfilename: |
|
|
660 | 683 | self.fileSize = os.path.getsize(fullfilename) |
|
|
661 | 684 | self.filename = fullfilename |
|
|
662 | 685 | self.flagIsNewFile = 1 |
|
|
663 | 686 | if self.fp != None: |
|
|
664 | 687 | self.fp.close() |
|
|
688 | #print(fullfilename) | |
|
|
665 | 689 | self.fp = self.open_file(fullfilename, self.open_mode) |
|
|
690 | ||
|
|
666 | 691 | self.flagNoMoreFiles = 0 |
|
|
667 | 692 | self.fileIndex += 1 |
|
|
668 | 693 | return 1 |
|
|
669 |
else: |
|
|
|
694 | else: | |
|
|
670 | 695 | return 0 |
|
|
671 | ||
|
|
696 | ||
|
|
672 | 697 | def setNextFileOffline(self): |
|
|
673 | 698 | """Open the next file to be readed in offline mode""" |
|
|
674 | ||
|
|
699 | ||
|
|
675 | 700 | try: |
|
|
676 | 701 | filename = next(self.filenameList) |
|
|
677 | 702 | self.fileIndex +=1 |
|
|
678 | 703 | except StopIteration: |
|
|
679 | 704 | self.flagNoMoreFiles = 1 |
|
|
680 |
return 0 |
|
|
|
681 | ||
|
|
705 | return 0 | |
|
|
706 | #print(self.fileIndex) | |
|
|
707 | #print(filename) | |
|
|
682 | 708 | self.filename = filename |
|
|
683 | 709 | self.fileSize = os.path.getsize(filename) |
|
|
684 | 710 | self.fp = self.open_file(filename, self.open_mode) |
|
|
685 | 711 | self.flagIsNewFile = 1 |
|
|
686 | 712 | |
|
|
687 | 713 | return 1 |
|
|
688 | ||
|
|
714 | ||
|
|
689 | 715 | @staticmethod |
|
|
690 | 716 | def isDateTimeInRange(dt, startDate, endDate, startTime, endTime): |
|
|
691 | 717 | """Check if the given datetime is in range""" |
|
|
692 | ||
|
|
718 | ||
|
|
693 | 719 | if startDate <= dt.date() <= endDate: |
|
|
694 | 720 | if startTime <= dt.time() <= endTime: |
|
|
695 | 721 | return True |
|
|
696 | 722 | return False |
|
|
697 | ||
|
|
723 | ||
|
|
698 | 724 | def verifyFile(self, filename): |
|
|
699 | 725 | """Check for a valid file |
|
|
700 | ||
|
|
726 | ||
|
|
701 | 727 | Arguments: |
|
|
702 | 728 | filename -- full path filename |
|
|
703 | ||
|
|
729 | ||
|
|
704 | 730 | Return: |
|
|
705 | 731 | boolean |
|
|
706 | 732 | """ |
|
|
707 | 733 | |
|
|
708 | 734 | return True |
|
|
709 | 735 | |
|
|
710 | 736 | def checkForRealPath(self, nextFile, nextDay): |
|
|
711 | 737 | """Check if the next file to be readed exists""" |
|
|
712 | 738 | |
|
|
713 | 739 | raise NotImplementedError |
|
|
714 | ||
|
|
740 | ||
|
|
715 | 741 | def readFirstHeader(self): |
|
|
716 | 742 | """Parse the file header""" |
|
|
717 | 743 | |
|
|
744 | ||
|
|
718 | 745 | pass |
|
|
719 | 746 | |
|
|
720 | 747 | def waitDataBlock(self, pointer_location, blocksize=None): |
|
|
721 | 748 | """ |
|
|
722 | 749 | """ |
|
|
723 | 750 | |
|
|
724 | 751 | currentPointer = pointer_location |
|
|
725 | 752 | if blocksize is None: |
|
|
726 | 753 | neededSize = self.processingHeaderObj.blockSize # + self.basicHeaderSize |
|
|
727 | 754 | else: |
|
|
728 | 755 | neededSize = blocksize |
|
|
729 | 756 | |
|
|
730 | 757 | for nTries in range(self.nTries): |
|
|
731 | 758 | self.fp.close() |
|
|
732 | 759 | self.fp = open(self.filename, 'rb') |
|
|
733 | 760 | self.fp.seek(currentPointer) |
|
|
734 | 761 | |
|
|
735 | 762 | self.fileSize = os.path.getsize(self.filename) |
|
|
736 | 763 | currentSize = self.fileSize - currentPointer |
|
|
737 | 764 | |
|
|
738 | 765 | if (currentSize >= neededSize): |
|
|
739 | 766 | return 1 |
|
|
740 | 767 | |
|
|
741 | 768 | log.warning( |
|
|
742 | 769 | "Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1), |
|
|
743 | 770 | self.name |
|
|
744 | 771 | ) |
|
|
745 | 772 | time.sleep(self.delay) |
|
|
746 | 773 | |
|
|
747 | 774 | return 0 |
|
|
748 | 775 | |
|
|
749 | 776 | class JRODataReader(Reader): |
|
|
750 | 777 | |
|
|
751 | 778 | utc = 0 |
|
|
752 | 779 | nReadBlocks = 0 |
|
|
753 | 780 | foldercounter = 0 |
|
|
754 | 781 | firstHeaderSize = 0 |
|
|
755 | 782 | basicHeaderSize = 24 |
|
|
756 | 783 | __isFirstTimeOnline = 1 |
|
|
757 | 784 | filefmt = "*%Y%j***" |
|
|
758 | 785 | folderfmt = "*%Y%j" |
|
|
759 | 786 | __attrs__ = ['path', 'startDate', 'endDate', 'startTime', 'endTime', 'online', 'delay', 'walk'] |
|
|
760 | 787 | |
|
|
761 | 788 | def getDtypeWidth(self): |
|
|
762 | 789 | |
|
|
763 | 790 | dtype_index = get_dtype_index(self.dtype) |
|
|
764 | 791 | dtype_width = get_dtype_width(dtype_index) |
|
|
765 | 792 | |
|
|
766 | 793 | return dtype_width |
|
|
767 | 794 | |
|
|
768 | 795 | def checkForRealPath(self, nextFile, nextDay): |
|
|
769 | 796 | """Check if the next file to be readed exists. |
|
|
770 | 797 | |
|
|
771 | 798 | Example : |
|
|
772 | 799 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
773 | 800 | |
|
|
774 | 801 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
775 | 802 | .../.../y2009307367.ext |
|
|
776 | 803 | .../.../Y2009307367.ext |
|
|
777 | 804 | .../.../x2009307/y2009307367.ext |
|
|
778 | 805 | .../.../x2009307/Y2009307367.ext |
|
|
779 | 806 | .../.../X2009307/y2009307367.ext |
|
|
780 | 807 | .../.../X2009307/Y2009307367.ext |
|
|
781 | 808 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
782 | 809 | |
|
|
783 | 810 | Return: |
|
|
784 | 811 | str -- fullpath of the file |
|
|
785 | 812 | """ |
|
|
786 | ||
|
|
787 | ||
|
|
813 | ||
|
|
814 | ||
|
|
788 | 815 | if nextFile: |
|
|
789 | 816 | self.set += 1 |
|
|
790 | 817 | if nextDay: |
|
|
791 | 818 | self.set = 0 |
|
|
792 | 819 | self.doy += 1 |
|
|
793 | 820 | foldercounter = 0 |
|
|
794 | 821 | prefixDirList = [None, 'd', 'D'] |
|
|
795 | 822 | if self.ext.lower() == ".r": # voltage |
|
|
796 | 823 | prefixFileList = ['d', 'D'] |
|
|
797 | 824 | elif self.ext.lower() == ".pdata": # spectra |
|
|
798 | 825 | prefixFileList = ['p', 'P'] |
|
|
799 | ||
|
|
826 | ||
|
|
827 | ##############DP############## | |
|
|
828 | ||
|
|
829 | elif self.ext.lower() == ".dat": # dat | |
|
|
830 | prefixFileList = ['z', 'Z'] | |
|
|
831 | ||
|
|
832 | ||
|
|
833 | ||
|
|
834 | ##############DP############## | |
|
|
800 | 835 | # barrido por las combinaciones posibles |
|
|
801 | 836 | for prefixDir in prefixDirList: |
|
|
802 | 837 | thispath = self.path |
|
|
803 | 838 | if prefixDir != None: |
|
|
804 | 839 | # formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
805 | 840 | if foldercounter == 0: |
|
|
806 | 841 | thispath = os.path.join(self.path, "%s%04d%03d" % |
|
|
807 | 842 | (prefixDir, self.year, self.doy)) |
|
|
808 | 843 | else: |
|
|
809 | 844 | thispath = os.path.join(self.path, "%s%04d%03d_%02d" % ( |
|
|
810 | 845 | prefixDir, self.year, self.doy, foldercounter)) |
|
|
811 | 846 | for prefixFile in prefixFileList: # barrido por las dos combinaciones posibles de "D" |
|
|
812 | 847 | # formo el nombre del file xYYYYDDDSSS.ext |
|
|
813 | 848 | filename = "%s%04d%03d%03d%s" % (prefixFile, self.year, self.doy, self.set, self.ext) |
|
|
814 | 849 | fullfilename = os.path.join( |
|
|
815 | 850 | thispath, filename) |
|
|
816 | 851 | |
|
|
817 | 852 | if os.path.exists(fullfilename): |
|
|
818 | 853 | return fullfilename, filename |
|
|
819 | ||
|
|
820 |
return None, filename |
|
|
|
821 | ||
|
|
854 | ||
|
|
855 | return None, filename | |
|
|
856 | ||
|
|
822 | 857 | def __waitNewBlock(self): |
|
|
823 | 858 | """ |
|
|
824 | 859 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
825 | 860 | |
|
|
826 | 861 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
827 | 862 | """ |
|
|
828 | 863 | if not self.online: |
|
|
829 | 864 | return 0 |
|
|
830 | 865 | |
|
|
831 | 866 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
832 | 867 | return 0 |
|
|
833 | 868 | |
|
|
834 | 869 | currentPointer = self.fp.tell() |
|
|
835 | 870 | |
|
|
836 | 871 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
837 | 872 | |
|
|
838 | 873 | for nTries in range(self.nTries): |
|
|
839 | 874 | |
|
|
840 | 875 | self.fp.close() |
|
|
841 | 876 | self.fp = open(self.filename, 'rb') |
|
|
842 | 877 | self.fp.seek(currentPointer) |
|
|
843 | 878 | |
|
|
844 | 879 | self.fileSize = os.path.getsize(self.filename) |
|
|
845 | 880 | currentSize = self.fileSize - currentPointer |
|
|
846 | 881 | |
|
|
847 | 882 | if (currentSize >= neededSize): |
|
|
848 | 883 | self.basicHeaderObj.read(self.fp) |
|
|
849 | 884 | return 1 |
|
|
850 | 885 | |
|
|
851 | 886 | if self.fileSize == self.fileSizeByHeader: |
|
|
852 | 887 | # self.flagEoF = True |
|
|
853 | 888 | return 0 |
|
|
854 | 889 | |
|
|
855 | 890 | print("[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1)) |
|
|
891 | #print(self.filename) | |
|
|
856 | 892 | time.sleep(self.delay) |
|
|
857 | 893 | |
|
|
858 | 894 | return 0 |
|
|
859 | 895 | |
|
|
860 | 896 | def __setNewBlock(self): |
|
|
861 | 897 | |
|
|
862 | 898 | if self.fp == None: |
|
|
863 |
return 0 |
|
|
|
864 | ||
|
|
865 |
if self.flagIsNewFile: |
|
|
|
899 | return 0 | |
|
|
900 | ||
|
|
901 | if self.flagIsNewFile: | |
|
|
866 | 902 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
867 | 903 | return 1 |
|
|
868 | 904 | |
|
|
869 | 905 | if self.realtime: |
|
|
870 | 906 | self.flagDiscontinuousBlock = 1 |
|
|
871 | 907 | if not(self.setNextFile()): |
|
|
872 | 908 | return 0 |
|
|
873 | 909 | else: |
|
|
874 | 910 | return 1 |
|
|
875 | 911 | |
|
|
876 | 912 | currentSize = self.fileSize - self.fp.tell() |
|
|
877 | 913 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
878 | ||
|
|
914 | ||
|
|
879 | 915 | if (currentSize >= neededSize): |
|
|
880 | 916 | self.basicHeaderObj.read(self.fp) |
|
|
881 | 917 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
882 | 918 | return 1 |
|
|
883 | ||
|
|
919 | ||
|
|
884 | 920 | if self.__waitNewBlock(): |
|
|
885 | 921 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
886 | 922 | return 1 |
|
|
887 | 923 | |
|
|
888 | 924 | if not(self.setNextFile()): |
|
|
889 | 925 | return 0 |
|
|
890 | 926 | |
|
|
891 | 927 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime |
|
|
892 | 928 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
893 | 929 | |
|
|
894 | 930 | self.flagDiscontinuousBlock = 0 |
|
|
895 | 931 | |
|
|
896 | 932 | if deltaTime > self.maxTimeStep: |
|
|
897 | 933 | self.flagDiscontinuousBlock = 1 |
|
|
898 | 934 | |
|
|
899 | 935 | return 1 |
|
|
900 | 936 | |
|
|
901 | 937 | def readNextBlock(self): |
|
|
902 | 938 | |
|
|
903 | 939 | while True: |
|
|
904 | 940 | if not(self.__setNewBlock()): |
|
|
905 | 941 | continue |
|
|
906 | 942 | |
|
|
907 | 943 | if not(self.readBlock()): |
|
|
908 | 944 | return 0 |
|
|
909 | 945 | |
|
|
910 | 946 | self.getBasicHeader() |
|
|
911 | 947 | |
|
|
912 | 948 | if not self.isDateTimeInRange(self.dataOut.datatime, self.startDate, self.endDate, self.startTime, self.endTime): |
|
|
913 | 949 | print("[Reading] Block No. %d/%d -> %s [Skipping]" % (self.nReadBlocks, |
|
|
914 | 950 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
915 | 951 | self.dataOut.datatime.ctime())) |
|
|
916 | 952 | continue |
|
|
917 | 953 | |
|
|
918 | 954 | break |
|
|
919 | 955 | |
|
|
920 | 956 | if self.verbose: |
|
|
921 | 957 | print("[Reading] Block No. %d/%d -> %s" % (self.nReadBlocks, |
|
|
922 | 958 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
923 | 959 | self.dataOut.datatime.ctime())) |
|
|
960 | #################DP################# | |
|
|
961 | self.dataOut.TimeBlockDate=self.dataOut.datatime.ctime() | |
|
|
962 | self.dataOut.TimeBlockSeconds=time.mktime(time.strptime(self.dataOut.datatime.ctime())) | |
|
|
963 | #################DP################# | |
|
|
924 | 964 | return 1 |
|
|
925 | 965 | |
|
|
926 | 966 | def readFirstHeader(self): |
|
|
927 | 967 | |
|
|
928 | 968 | self.basicHeaderObj.read(self.fp) |
|
|
929 | 969 | self.systemHeaderObj.read(self.fp) |
|
|
930 | 970 | self.radarControllerHeaderObj.read(self.fp) |
|
|
931 | 971 | self.processingHeaderObj.read(self.fp) |
|
|
932 | 972 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
933 | 973 | |
|
|
934 | 974 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & |
|
|
935 | 975 | PROCFLAG.DATATYPE_MASK)) - numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
936 | 976 | if datatype == 0: |
|
|
937 | 977 | datatype_str = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
938 | 978 | elif datatype == 1: |
|
|
939 | 979 | datatype_str = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
940 | 980 | elif datatype == 2: |
|
|
941 | 981 | datatype_str = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
942 | 982 | elif datatype == 3: |
|
|
943 | 983 | datatype_str = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
944 | 984 | elif datatype == 4: |
|
|
945 | 985 | datatype_str = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
946 | 986 | elif datatype == 5: |
|
|
947 | 987 | datatype_str = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
948 | 988 | else: |
|
|
949 | 989 | raise ValueError('Data type was not defined') |
|
|
950 | 990 | |
|
|
951 | 991 | self.dtype = datatype_str |
|
|
952 | 992 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
953 | 993 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + \ |
|
|
954 | 994 | self.firstHeaderSize + self.basicHeaderSize * \ |
|
|
955 | 995 | (self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
956 | 996 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
957 | 997 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
958 | 998 | self.getBlockDimension() |
|
|
959 | 999 | |
|
|
960 | 1000 | def verifyFile(self, filename): |
|
|
961 | 1001 | |
|
|
962 | 1002 | flag = True |
|
|
963 | 1003 | |
|
|
964 | 1004 | try: |
|
|
965 | 1005 | fp = open(filename, 'rb') |
|
|
966 | 1006 | except IOError: |
|
|
967 | 1007 | log.error("File {} can't be opened".format(filename), self.name) |
|
|
968 | 1008 | return False |
|
|
969 | ||
|
|
1009 | ||
|
|
970 | 1010 | if self.online and self.waitDataBlock(0): |
|
|
971 | 1011 | pass |
|
|
972 | ||
|
|
1012 | ||
|
|
973 | 1013 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
974 | 1014 | systemHeaderObj = SystemHeader() |
|
|
975 | 1015 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
976 | 1016 | processingHeaderObj = ProcessingHeader() |
|
|
977 | 1017 | |
|
|
978 | 1018 | if not(basicHeaderObj.read(fp)): |
|
|
979 | 1019 | flag = False |
|
|
980 | 1020 | if not(systemHeaderObj.read(fp)): |
|
|
981 | 1021 | flag = False |
|
|
982 | 1022 | if not(radarControllerHeaderObj.read(fp)): |
|
|
983 | 1023 | flag = False |
|
|
984 | 1024 | if not(processingHeaderObj.read(fp)): |
|
|
985 | 1025 | flag = False |
|
|
986 | 1026 | if not self.online: |
|
|
987 | 1027 | dt1 = basicHeaderObj.datatime |
|
|
988 | 1028 | pos = self.fileSize-processingHeaderObj.blockSize-24 |
|
|
989 | 1029 | if pos<0: |
|
|
990 | 1030 | flag = False |
|
|
991 | 1031 | log.error('Invalid size for file: {}'.format(self.filename), self.name) |
|
|
992 | 1032 | else: |
|
|
993 | 1033 | fp.seek(pos) |
|
|
994 | 1034 | if not(basicHeaderObj.read(fp)): |
|
|
995 | 1035 | flag = False |
|
|
996 | 1036 | dt2 = basicHeaderObj.datatime |
|
|
997 | 1037 | if not self.isDateTimeInRange(dt1, self.startDate, self.endDate, self.startTime, self.endTime) and not \ |
|
|
998 | 1038 | self.isDateTimeInRange(dt2, self.startDate, self.endDate, self.startTime, self.endTime): |
|
|
999 |
flag = False |
|
|
|
1039 | flag = False | |
|
|
1000 | 1040 | |
|
|
1001 | 1041 | fp.close() |
|
|
1002 | 1042 | return flag |
|
|
1003 | 1043 | |
|
|
1004 | 1044 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): |
|
|
1005 | 1045 | |
|
|
1006 | 1046 | path_empty = True |
|
|
1007 | 1047 | |
|
|
1008 | 1048 | dateList = [] |
|
|
1009 | 1049 | pathList = [] |
|
|
1010 | 1050 | |
|
|
1011 | 1051 | multi_path = path.split(',') |
|
|
1012 | 1052 | |
|
|
1013 | 1053 | if not walk: |
|
|
1014 | 1054 | |
|
|
1015 | 1055 | for single_path in multi_path: |
|
|
1016 | 1056 | |
|
|
1017 | 1057 | if not os.path.isdir(single_path): |
|
|
1018 | 1058 | continue |
|
|
1019 | 1059 | |
|
|
1020 | 1060 | fileList = glob.glob1(single_path, "*" + ext) |
|
|
1021 | 1061 | |
|
|
1022 | 1062 | if not fileList: |
|
|
1023 | 1063 | continue |
|
|
1024 | 1064 | |
|
|
1025 | 1065 | path_empty = False |
|
|
1026 | 1066 | |
|
|
1027 | 1067 | fileList.sort() |
|
|
1028 | 1068 | |
|
|
1029 | 1069 | for thisFile in fileList: |
|
|
1030 | 1070 | |
|
|
1031 | 1071 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
|
1032 | 1072 | continue |
|
|
1033 | 1073 | |
|
|
1034 | 1074 | if not isRadarFile(thisFile): |
|
|
1035 | 1075 | continue |
|
|
1036 | 1076 | |
|
|
1037 | 1077 | if not isFileInDateRange(thisFile, startDate, endDate): |
|
|
1038 | 1078 | continue |
|
|
1039 | 1079 | |
|
|
1040 | 1080 | thisDate = getDateFromRadarFile(thisFile) |
|
|
1041 | 1081 | |
|
|
1042 | 1082 | if thisDate in dateList or single_path in pathList: |
|
|
1043 | 1083 | continue |
|
|
1044 | 1084 | |
|
|
1045 | 1085 | dateList.append(thisDate) |
|
|
1046 | 1086 | pathList.append(single_path) |
|
|
1047 | 1087 | |
|
|
1048 | 1088 | else: |
|
|
1049 | 1089 | for single_path in multi_path: |
|
|
1050 | 1090 | |
|
|
1051 | 1091 | if not os.path.isdir(single_path): |
|
|
1052 | 1092 | continue |
|
|
1053 | 1093 | |
|
|
1054 | 1094 | dirList = [] |
|
|
1055 | 1095 | |
|
|
1056 | 1096 | for thisPath in os.listdir(single_path): |
|
|
1057 | 1097 | |
|
|
1058 | 1098 | if not os.path.isdir(os.path.join(single_path, thisPath)): |
|
|
1059 | 1099 | continue |
|
|
1060 | 1100 | |
|
|
1061 | 1101 | if not isRadarFolder(thisPath): |
|
|
1062 | 1102 | continue |
|
|
1063 | 1103 | |
|
|
1064 | 1104 | if not isFolderInDateRange(thisPath, startDate, endDate): |
|
|
1065 | 1105 | continue |
|
|
1066 | 1106 | |
|
|
1067 | 1107 | dirList.append(thisPath) |
|
|
1068 | 1108 | |
|
|
1069 | 1109 | if not dirList: |
|
|
1070 | 1110 | continue |
|
|
1071 | 1111 | |
|
|
1072 | 1112 | dirList.sort() |
|
|
1073 | 1113 | |
|
|
1074 | 1114 | for thisDir in dirList: |
|
|
1075 | 1115 | |
|
|
1076 | 1116 | datapath = os.path.join(single_path, thisDir, expLabel) |
|
|
1077 | 1117 | fileList = glob.glob1(datapath, "*" + ext) |
|
|
1078 | 1118 | |
|
|
1079 | 1119 | if not fileList: |
|
|
1080 | 1120 | continue |
|
|
1081 | 1121 | |
|
|
1082 | 1122 | path_empty = False |
|
|
1083 | 1123 | |
|
|
1084 | 1124 | thisDate = getDateFromRadarFolder(thisDir) |
|
|
1085 | 1125 | |
|
|
1086 | 1126 | pathList.append(datapath) |
|
|
1087 | 1127 | dateList.append(thisDate) |
|
|
1088 | 1128 | |
|
|
1089 | 1129 | dateList.sort() |
|
|
1090 | 1130 | |
|
|
1091 | 1131 | if walk: |
|
|
1092 | 1132 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) |
|
|
1093 | 1133 | else: |
|
|
1094 | 1134 | pattern_path = multi_path[0] |
|
|
1095 | 1135 | |
|
|
1096 | 1136 | if path_empty: |
|
|
1097 | 1137 | raise schainpy.admin.SchainError("[Reading] No *%s files in %s for %s to %s" % (ext, pattern_path, startDate, endDate)) |
|
|
1098 | 1138 | else: |
|
|
1099 | 1139 | if not dateList: |
|
|
1100 | 1140 | raise schainpy.admin.SchainError("[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" % (startDate, endDate, ext, path)) |
|
|
1101 | 1141 | |
|
|
1102 | 1142 | if include_path: |
|
|
1103 | 1143 | return dateList, pathList |
|
|
1104 | 1144 | |
|
|
1105 | 1145 | return dateList |
|
|
1106 | 1146 | |
|
|
1107 | 1147 | def setup(self, **kwargs): |
|
|
1108 | ||
|
|
1148 | ||
|
|
1109 | 1149 | self.set_kwargs(**kwargs) |
|
|
1110 | 1150 | if not self.ext.startswith('.'): |
|
|
1111 | 1151 | self.ext = '.{}'.format(self.ext) |
|
|
1112 | ||
|
|
1152 | ||
|
|
1113 | 1153 | if self.server is not None: |
|
|
1114 | 1154 | if 'tcp://' in self.server: |
|
|
1115 | 1155 | address = server |
|
|
1116 | 1156 | else: |
|
|
1117 | 1157 | address = 'ipc:///tmp/%s' % self.server |
|
|
1118 | 1158 | self.server = address |
|
|
1119 | 1159 | self.context = zmq.Context() |
|
|
1120 | 1160 | self.receiver = self.context.socket(zmq.PULL) |
|
|
1121 | 1161 | self.receiver.connect(self.server) |
|
|
1122 | 1162 | time.sleep(0.5) |
|
|
1123 | 1163 | print('[Starting] ReceiverData from {}'.format(self.server)) |
|
|
1124 | 1164 | else: |
|
|
1125 | 1165 | self.server = None |
|
|
1126 | 1166 | if self.path == None: |
|
|
1127 | 1167 | raise ValueError("[Reading] The path is not valid") |
|
|
1128 | 1168 | |
|
|
1129 | 1169 | if self.online: |
|
|
1130 | 1170 | log.log("[Reading] Searching files in online mode...", self.name) |
|
|
1131 | 1171 | |
|
|
1132 | 1172 | for nTries in range(self.nTries): |
|
|
1133 | 1173 | fullpath = self.searchFilesOnLine(self.path, self.startDate, |
|
|
1134 |
self.endDate, self.expLabel, self.ext, self.walk, |
|
|
|
1174 | self.endDate, self.expLabel, self.ext, self.walk, | |
|
|
1135 | 1175 | self.filefmt, self.folderfmt) |
|
|
1136 | 1176 | |
|
|
1137 | 1177 | try: |
|
|
1138 | 1178 | fullpath = next(fullpath) |
|
|
1139 | 1179 | except: |
|
|
1140 | 1180 | fullpath = None |
|
|
1141 | ||
|
|
1181 | ||
|
|
1142 | 1182 | if fullpath: |
|
|
1143 | 1183 | break |
|
|
1144 | 1184 | |
|
|
1145 | 1185 | log.warning( |
|
|
1146 | 1186 | 'Waiting {} sec for a valid file in {}: try {} ...'.format( |
|
|
1147 |
self.delay, self.path, nTries + 1), |
|
|
|
1187 | self.delay, self.path, nTries + 1), | |
|
|
1148 | 1188 | self.name) |
|
|
1149 | 1189 | time.sleep(self.delay) |
|
|
1150 | 1190 | |
|
|
1151 | 1191 | if not(fullpath): |
|
|
1152 | 1192 | raise schainpy.admin.SchainError( |
|
|
1153 |
'There isn\'t any valid file in {}'.format(self.path)) |
|
|
|
1193 | 'There isn\'t any valid file in {}'.format(self.path)) | |
|
|
1154 | 1194 | |
|
|
1155 | 1195 | pathname, filename = os.path.split(fullpath) |
|
|
1156 | 1196 | self.year = int(filename[1:5]) |
|
|
1157 | 1197 | self.doy = int(filename[5:8]) |
|
|
1158 |
self.set = int(filename[8:11]) - 1 |
|
|
|
1198 | self.set = int(filename[8:11]) - 1 | |
|
|
1159 | 1199 | else: |
|
|
1160 | 1200 | log.log("Searching files in {}".format(self.path), self.name) |
|
|
1161 |
self.filenameList = self.searchFilesOffLine(self.path, self.startDate, |
|
|
|
1201 | self.filenameList = self.searchFilesOffLine(self.path, self.startDate, | |
|
|
1162 | 1202 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt) |
|
|
1163 | ||
|
|
1203 | ||
|
|
1164 | 1204 | self.setNextFile() |
|
|
1165 | 1205 | |
|
|
1166 | 1206 | return |
|
|
1167 | 1207 | |
|
|
1168 | 1208 | def getBasicHeader(self): |
|
|
1169 | 1209 | |
|
|
1170 | 1210 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond / \ |
|
|
1171 | 1211 | 1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1172 | 1212 | |
|
|
1173 | 1213 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
1174 | 1214 | |
|
|
1175 | 1215 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1176 | 1216 | |
|
|
1177 | 1217 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1178 | 1218 | |
|
|
1179 | 1219 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1180 | 1220 | |
|
|
1181 | 1221 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1182 | 1222 | |
|
|
1183 | 1223 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds / self.nTxs |
|
|
1184 | ||
|
|
1224 | ||
|
|
1185 | 1225 | def getFirstHeader(self): |
|
|
1186 | 1226 | |
|
|
1187 | 1227 | raise NotImplementedError |
|
|
1188 | 1228 | |
|
|
1189 | 1229 | def getData(self): |
|
|
1190 | 1230 | |
|
|
1191 | 1231 | raise NotImplementedError |
|
|
1192 | 1232 | |
|
|
1193 | 1233 | def hasNotDataInBuffer(self): |
|
|
1194 | 1234 | |
|
|
1195 | 1235 | raise NotImplementedError |
|
|
1196 | 1236 | |
|
|
1197 | 1237 | def readBlock(self): |
|
|
1198 | 1238 | |
|
|
1199 | 1239 | raise NotImplementedError |
|
|
1200 | 1240 | |
|
|
1201 | 1241 | def isEndProcess(self): |
|
|
1202 | 1242 | |
|
|
1203 | 1243 | return self.flagNoMoreFiles |
|
|
1204 | 1244 | |
|
|
1205 | 1245 | def printReadBlocks(self): |
|
|
1206 | 1246 | |
|
|
1207 | 1247 | print("[Reading] Number of read blocks per file %04d" % self.nReadBlocks) |
|
|
1208 | 1248 | |
|
|
1209 | 1249 | def printTotalBlocks(self): |
|
|
1210 | 1250 | |
|
|
1211 | 1251 | print("[Reading] Number of read blocks %04d" % self.nTotalBlocks) |
|
|
1212 | 1252 | |
|
|
1213 | 1253 | def run(self, **kwargs): |
|
|
1214 | 1254 | """ |
|
|
1215 | 1255 | |
|
|
1216 | 1256 | Arguments: |
|
|
1217 |
path : |
|
|
|
1218 |
startDate : |
|
|
|
1257 | path : | |
|
|
1258 | startDate : | |
|
|
1219 | 1259 | endDate : |
|
|
1220 | 1260 | startTime : |
|
|
1221 | 1261 | endTime : |
|
|
1222 | 1262 | set : |
|
|
1223 | 1263 | expLabel : |
|
|
1224 | 1264 | ext : |
|
|
1225 | 1265 | online : |
|
|
1226 | 1266 | delay : |
|
|
1227 | 1267 | walk : |
|
|
1228 | 1268 | getblock : |
|
|
1229 | 1269 | nTxs : |
|
|
1230 | 1270 | realtime : |
|
|
1231 | 1271 | blocksize : |
|
|
1232 | 1272 | blocktime : |
|
|
1233 | 1273 | skip : |
|
|
1234 | 1274 | cursor : |
|
|
1235 | 1275 | warnings : |
|
|
1236 | 1276 | server : |
|
|
1237 | 1277 | verbose : |
|
|
1238 | 1278 | format : |
|
|
1239 | 1279 | oneDDict : |
|
|
1240 | 1280 | twoDDict : |
|
|
1241 | 1281 | independentParam : |
|
|
1242 | 1282 | """ |
|
|
1243 | 1283 | |
|
|
1244 | 1284 | if not(self.isConfig): |
|
|
1245 | 1285 | self.setup(**kwargs) |
|
|
1246 | 1286 | self.isConfig = True |
|
|
1247 | 1287 | if self.server is None: |
|
|
1248 | 1288 | self.getData() |
|
|
1249 | 1289 | else: |
|
|
1250 | 1290 | self.getFromServer() |
|
|
1251 | 1291 | |
|
|
1252 | 1292 | |
|
|
1253 | 1293 | class JRODataWriter(Reader): |
|
|
1254 | 1294 | |
|
|
1255 | 1295 | """ |
|
|
1256 | 1296 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1257 | 1297 | de los datos siempre se realiza por bloques. |
|
|
1258 | 1298 | """ |
|
|
1259 | 1299 | |
|
|
1260 | 1300 | setFile = None |
|
|
1261 | 1301 | profilesPerBlock = None |
|
|
1262 | 1302 | blocksPerFile = None |
|
|
1263 | 1303 | nWriteBlocks = 0 |
|
|
1264 | 1304 | fileDate = None |
|
|
1265 | 1305 | |
|
|
1266 | 1306 | def __init__(self, dataOut=None): |
|
|
1267 | 1307 | raise NotImplementedError |
|
|
1268 | 1308 | |
|
|
1269 | 1309 | def hasAllDataInBuffer(self): |
|
|
1270 | 1310 | raise NotImplementedError |
|
|
1271 | 1311 | |
|
|
1272 | 1312 | def setBlockDimension(self): |
|
|
1273 | 1313 | raise NotImplementedError |
|
|
1274 | 1314 | |
|
|
1275 | 1315 | def writeBlock(self): |
|
|
1276 | 1316 | raise NotImplementedError |
|
|
1277 | 1317 | |
|
|
1278 | 1318 | def putData(self): |
|
|
1279 | 1319 | raise NotImplementedError |
|
|
1280 | 1320 | |
|
|
1281 | 1321 | def getDtypeWidth(self): |
|
|
1282 | 1322 | |
|
|
1283 | 1323 | dtype_index = get_dtype_index(self.dtype) |
|
|
1284 | 1324 | dtype_width = get_dtype_width(dtype_index) |
|
|
1285 | 1325 | |
|
|
1286 | 1326 | return dtype_width |
|
|
1287 | ||
|
|
1327 | ||
|
|
1288 | 1328 | def getProcessFlags(self): |
|
|
1289 | 1329 | |
|
|
1290 | 1330 | processFlags = 0 |
|
|
1291 | 1331 | |
|
|
1292 | 1332 | dtype_index = get_dtype_index(self.dtype) |
|
|
1293 | 1333 | procflag_dtype = get_procflag_dtype(dtype_index) |
|
|
1294 | 1334 | |
|
|
1295 | 1335 | processFlags += procflag_dtype |
|
|
1296 | 1336 | |
|
|
1297 | 1337 | if self.dataOut.flagDecodeData: |
|
|
1298 | 1338 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1299 | 1339 | |
|
|
1300 | 1340 | if self.dataOut.flagDeflipData: |
|
|
1301 | 1341 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1302 | 1342 | |
|
|
1303 | 1343 | if self.dataOut.code is not None: |
|
|
1304 | 1344 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1305 | 1345 | |
|
|
1306 | 1346 | if self.dataOut.nCohInt > 1: |
|
|
1307 | 1347 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1308 | 1348 | |
|
|
1309 | 1349 | if self.dataOut.type == "Spectra": |
|
|
1310 | 1350 | if self.dataOut.nIncohInt > 1: |
|
|
1311 | 1351 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
1312 | 1352 | |
|
|
1313 | 1353 | if self.dataOut.data_dc is not None: |
|
|
1314 | 1354 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
1315 | 1355 | |
|
|
1316 | 1356 | if self.dataOut.flagShiftFFT: |
|
|
1317 | 1357 | processFlags += PROCFLAG.SHIFT_FFT_DATA |
|
|
1318 | 1358 | |
|
|
1319 | 1359 | return processFlags |
|
|
1320 | 1360 | |
|
|
1321 | 1361 | def setBasicHeader(self): |
|
|
1322 | 1362 | |
|
|
1323 | 1363 | self.basicHeaderObj.size = self.basicHeaderSize # bytes |
|
|
1324 | 1364 | self.basicHeaderObj.version = self.versionFile |
|
|
1325 |
self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
|
1365 | self.basicHeaderObj.dataBlock = self.nTotalBlocks | |
|
|
1326 | 1366 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1327 |
milisecond = (self.dataOut.utctime - utc) * 1000.0 |
|
|
|
1367 | milisecond = (self.dataOut.utctime - utc) * 1000.0 | |
|
|
1328 | 1368 | self.basicHeaderObj.utc = utc |
|
|
1329 | 1369 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1330 | 1370 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1331 | 1371 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1332 | 1372 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1333 | 1373 | |
|
|
1334 | 1374 | def setFirstHeader(self): |
|
|
1335 | 1375 | """ |
|
|
1336 | 1376 | Obtiene una copia del First Header |
|
|
1337 | 1377 | |
|
|
1338 | 1378 | Affected: |
|
|
1339 | 1379 | |
|
|
1340 | 1380 | self.basicHeaderObj |
|
|
1341 | 1381 | self.systemHeaderObj |
|
|
1342 | 1382 | self.radarControllerHeaderObj |
|
|
1343 | 1383 | self.processingHeaderObj self. |
|
|
1344 | 1384 | |
|
|
1345 | 1385 | Return: |
|
|
1346 | 1386 | None |
|
|
1347 | 1387 | """ |
|
|
1348 | 1388 | |
|
|
1349 | 1389 | raise NotImplementedError |
|
|
1350 | 1390 | |
|
|
1351 | 1391 | def __writeFirstHeader(self): |
|
|
1352 | 1392 | """ |
|
|
1353 | 1393 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1354 | 1394 | |
|
|
1355 | 1395 | Affected: |
|
|
1356 | 1396 | __dataType |
|
|
1357 | 1397 | |
|
|
1358 | 1398 | Return: |
|
|
1359 | 1399 | None |
|
|
1360 | 1400 | """ |
|
|
1361 | 1401 | |
|
|
1362 | 1402 | # CALCULAR PARAMETROS |
|
|
1363 | 1403 | |
|
|
1364 | 1404 | sizeLongHeader = self.systemHeaderObj.size + \ |
|
|
1365 | 1405 | self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1366 | 1406 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1367 | 1407 | |
|
|
1368 | 1408 | self.basicHeaderObj.write(self.fp) |
|
|
1369 | 1409 | self.systemHeaderObj.write(self.fp) |
|
|
1370 | 1410 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1371 | 1411 | self.processingHeaderObj.write(self.fp) |
|
|
1372 | 1412 | |
|
|
1373 | 1413 | def __setNewBlock(self): |
|
|
1374 | 1414 | """ |
|
|
1375 | 1415 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1376 | 1416 | |
|
|
1377 | 1417 | Return: |
|
|
1378 | 1418 | 0 : si no pudo escribir nada |
|
|
1379 | 1419 | 1 : Si escribio el Basic el First Header |
|
|
1380 | 1420 | """ |
|
|
1381 | 1421 | if self.fp == None: |
|
|
1382 | 1422 | self.setNextFile() |
|
|
1383 | 1423 | |
|
|
1384 | 1424 | if self.flagIsNewFile: |
|
|
1385 | 1425 | return 1 |
|
|
1386 | 1426 | |
|
|
1387 | 1427 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1388 | 1428 | self.basicHeaderObj.write(self.fp) |
|
|
1389 | 1429 | return 1 |
|
|
1390 | 1430 | |
|
|
1391 | 1431 | if not(self.setNextFile()): |
|
|
1392 | 1432 | return 0 |
|
|
1393 | 1433 | |
|
|
1394 | 1434 | return 1 |
|
|
1395 | 1435 | |
|
|
1396 | 1436 | def writeNextBlock(self): |
|
|
1397 | 1437 | """ |
|
|
1398 | 1438 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1399 | 1439 | |
|
|
1400 | 1440 | Return: |
|
|
1401 | 1441 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1402 | 1442 | 1 : Si no pudo escribir el bloque de datos |
|
|
1403 | 1443 | """ |
|
|
1404 | 1444 | if not(self.__setNewBlock()): |
|
|
1405 | 1445 | return 0 |
|
|
1406 | 1446 | |
|
|
1407 | 1447 | self.writeBlock() |
|
|
1408 | 1448 | |
|
|
1409 | 1449 | print("[Writing] Block No. %d/%d" % (self.blockIndex, |
|
|
1410 | 1450 | self.processingHeaderObj.dataBlocksPerFile)) |
|
|
1411 | 1451 | |
|
|
1412 | 1452 | return 1 |
|
|
1413 | 1453 | |
|
|
1414 | 1454 | def setNextFile(self): |
|
|
1415 | 1455 | """Determina el siguiente file que sera escrito |
|
|
1416 | 1456 | |
|
|
1417 | 1457 | Affected: |
|
|
1418 | 1458 | self.filename |
|
|
1419 | 1459 | self.subfolder |
|
|
1420 | 1460 | self.fp |
|
|
1421 | 1461 | self.setFile |
|
|
1422 | 1462 | self.flagIsNewFile |
|
|
1423 | 1463 | |
|
|
1424 | 1464 | Return: |
|
|
1425 | 1465 | 0 : Si el archivo no puede ser escrito |
|
|
1426 | 1466 | 1 : Si el archivo esta listo para ser escrito |
|
|
1427 | 1467 | """ |
|
|
1428 | 1468 | ext = self.ext |
|
|
1429 | 1469 | path = self.path |
|
|
1430 | 1470 | |
|
|
1431 | 1471 | if self.fp != None: |
|
|
1432 | 1472 | self.fp.close() |
|
|
1433 | 1473 | |
|
|
1434 | 1474 | if not os.path.exists(path): |
|
|
1435 | 1475 | os.mkdir(path) |
|
|
1436 | 1476 | |
|
|
1437 | 1477 | timeTuple = time.localtime(self.dataOut.utctime) |
|
|
1438 | 1478 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year, timeTuple.tm_yday) |
|
|
1439 | 1479 | |
|
|
1440 | 1480 | fullpath = os.path.join(path, subfolder) |
|
|
1441 | 1481 | setFile = self.setFile |
|
|
1442 | 1482 | |
|
|
1443 | 1483 | if not(os.path.exists(fullpath)): |
|
|
1444 | 1484 | os.mkdir(fullpath) |
|
|
1445 | 1485 | setFile = -1 # inicializo mi contador de seteo |
|
|
1446 | 1486 | else: |
|
|
1447 | 1487 | filesList = os.listdir(fullpath) |
|
|
1448 | 1488 | if len(filesList) > 0: |
|
|
1449 | 1489 | filesList = sorted(filesList, key=str.lower) |
|
|
1450 | 1490 | filen = filesList[-1] |
|
|
1451 | 1491 | # el filename debera tener el siguiente formato |
|
|
1452 | 1492 | # 0 1234 567 89A BCDE (hex) |
|
|
1453 | 1493 | # x YYYY DDD SSS .ext |
|
|
1454 | 1494 | if isNumber(filen[8:11]): |
|
|
1455 | 1495 | # inicializo mi contador de seteo al seteo del ultimo file |
|
|
1456 | 1496 | setFile = int(filen[8:11]) |
|
|
1457 | 1497 | else: |
|
|
1458 | 1498 | setFile = -1 |
|
|
1459 | 1499 | else: |
|
|
1460 | 1500 | setFile = -1 # inicializo mi contador de seteo |
|
|
1461 | 1501 | |
|
|
1462 | 1502 | setFile += 1 |
|
|
1463 | 1503 | |
|
|
1464 | 1504 | # If this is a new day it resets some values |
|
|
1465 | 1505 | if self.dataOut.datatime.date() > self.fileDate: |
|
|
1466 | 1506 | setFile = 0 |
|
|
1467 | 1507 | self.nTotalBlocks = 0 |
|
|
1468 | ||
|
|
1508 | ||
|
|
1469 | 1509 | filen = '{}{:04d}{:03d}{:03d}{}'.format( |
|
|
1470 |
self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext) |
|
|
|
1510 | self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext) | |
|
|
1471 | 1511 | |
|
|
1472 | 1512 | filename = os.path.join(path, subfolder, filen) |
|
|
1473 | 1513 | |
|
|
1474 | 1514 | fp = open(filename, 'wb') |
|
|
1475 | 1515 | |
|
|
1476 | 1516 | self.blockIndex = 0 |
|
|
1477 | 1517 | self.filename = filename |
|
|
1478 | 1518 | self.subfolder = subfolder |
|
|
1479 | 1519 | self.fp = fp |
|
|
1480 | 1520 | self.setFile = setFile |
|
|
1481 | 1521 | self.flagIsNewFile = 1 |
|
|
1482 | 1522 | self.fileDate = self.dataOut.datatime.date() |
|
|
1483 | 1523 | self.setFirstHeader() |
|
|
1484 | 1524 | |
|
|
1485 | 1525 | print('[Writing] Opening file: %s' % self.filename) |
|
|
1486 | 1526 | |
|
|
1487 | 1527 | self.__writeFirstHeader() |
|
|
1488 | 1528 | |
|
|
1489 | 1529 | return 1 |
|
|
1490 | 1530 | |
|
|
1491 | 1531 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): |
|
|
1492 | 1532 | """ |
|
|
1493 | 1533 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1494 | 1534 | |
|
|
1495 | 1535 | Inputs: |
|
|
1496 | 1536 | path : directory where data will be saved |
|
|
1497 | 1537 | profilesPerBlock : number of profiles per block |
|
|
1498 | 1538 | set : initial file set |
|
|
1499 | 1539 | datatype : An integer number that defines data type: |
|
|
1500 | 1540 | 0 : int8 (1 byte) |
|
|
1501 | 1541 | 1 : int16 (2 bytes) |
|
|
1502 | 1542 | 2 : int32 (4 bytes) |
|
|
1503 | 1543 | 3 : int64 (8 bytes) |
|
|
1504 | 1544 | 4 : float32 (4 bytes) |
|
|
1505 | 1545 | 5 : double64 (8 bytes) |
|
|
1506 | 1546 | |
|
|
1507 | 1547 | Return: |
|
|
1508 | 1548 | 0 : Si no realizo un buen seteo |
|
|
1509 | 1549 | 1 : Si realizo un buen seteo |
|
|
1510 | 1550 | """ |
|
|
1511 | 1551 | |
|
|
1512 | 1552 | if ext == None: |
|
|
1513 | 1553 | ext = self.ext |
|
|
1514 | 1554 | |
|
|
1515 | 1555 | self.ext = ext.lower() |
|
|
1516 | 1556 | |
|
|
1517 | 1557 | self.path = path |
|
|
1518 | ||
|
|
1558 | ||
|
|
1519 | 1559 | if set is None: |
|
|
1520 | 1560 | self.setFile = -1 |
|
|
1521 | 1561 | else: |
|
|
1522 |
self.setFile = set - 1 |
|
|
|
1562 | self.setFile = set - 1 | |
|
|
1523 | 1563 | |
|
|
1524 | 1564 | self.blocksPerFile = blocksPerFile |
|
|
1525 | 1565 | self.profilesPerBlock = profilesPerBlock |
|
|
1526 | 1566 | self.dataOut = dataOut |
|
|
1527 | 1567 | self.fileDate = self.dataOut.datatime.date() |
|
|
1528 | 1568 | self.dtype = self.dataOut.dtype |
|
|
1529 | 1569 | |
|
|
1530 | 1570 | if datatype is not None: |
|
|
1531 | 1571 | self.dtype = get_numpy_dtype(datatype) |
|
|
1532 | 1572 | |
|
|
1533 | 1573 | if not(self.setNextFile()): |
|
|
1534 | 1574 | print("[Writing] There isn't a next file") |
|
|
1535 | 1575 | return 0 |
|
|
1536 | 1576 | |
|
|
1537 | 1577 | self.setBlockDimension() |
|
|
1538 | 1578 | |
|
|
1539 | 1579 | return 1 |
|
|
1540 | 1580 | |
|
|
1541 | 1581 | def run(self, dataOut, path, blocksPerFile=100, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): |
|
|
1542 | 1582 | |
|
|
1543 | 1583 | if not(self.isConfig): |
|
|
1544 | 1584 | |
|
|
1545 | 1585 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, |
|
|
1546 | 1586 | set=set, ext=ext, datatype=datatype, **kwargs) |
|
|
1547 | 1587 | self.isConfig = True |
|
|
1548 | 1588 | |
|
|
1549 | 1589 | self.dataOut = dataOut |
|
|
1550 | 1590 | self.putData() |
|
|
1551 | 1591 | return self.dataOut |
|
|
1552 | 1592 | |
|
|
1553 | 1593 | @MPDecorator |
|
|
1554 | 1594 | class printInfo(Operation): |
|
|
1555 | 1595 | |
|
|
1556 | 1596 | def __init__(self): |
|
|
1557 | 1597 | |
|
|
1558 | 1598 | Operation.__init__(self) |
|
|
1559 | 1599 | self.__printInfo = True |
|
|
1560 | 1600 | |
|
|
1561 | 1601 | def run(self, dataOut, headers = ['systemHeaderObj', 'radarControllerHeaderObj', 'processingHeaderObj']): |
|
|
1562 | 1602 | if self.__printInfo == False: |
|
|
1563 | 1603 | return |
|
|
1564 | 1604 | |
|
|
1565 | 1605 | for header in headers: |
|
|
1566 | 1606 | if hasattr(dataOut, header): |
|
|
1567 | 1607 | obj = getattr(dataOut, header) |
|
|
1568 | 1608 | if hasattr(obj, 'printInfo'): |
|
|
1569 | 1609 | obj.printInfo() |
|
|
1570 | 1610 | else: |
|
|
1571 | 1611 | print(obj) |
|
|
1572 | 1612 | else: |
|
|
1573 | 1613 | log.warning('Header {} Not found in object'.format(header)) |
|
|
1574 | 1614 | |
|
|
1575 | 1615 | self.__printInfo = False |
| @@ -1,595 +1,629 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Aug 1, 2017 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: Juan C. Espinoza |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import os |
|
|
8 | 8 | import sys |
|
|
9 | 9 | import time |
|
|
10 | 10 | import json |
|
|
11 | 11 | import glob |
|
|
12 | 12 | import datetime |
|
|
13 | 13 | |
|
|
14 | 14 | import numpy |
|
|
15 | 15 | import h5py |
|
|
16 | 16 | |
|
|
17 | 17 | import schainpy.admin |
|
|
18 | 18 | from schainpy.model.io.jroIO_base import LOCALTIME, Reader |
|
|
19 | 19 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
|
20 | 20 | from schainpy.model.data.jrodata import Parameters |
|
|
21 | 21 | from schainpy.utils import log |
|
|
22 | 22 | |
|
|
23 | 23 | try: |
|
|
24 | 24 | import madrigal.cedar |
|
|
25 | 25 | except: |
|
|
26 | 26 | pass |
|
|
27 | 27 | |
|
|
28 | 28 | try: |
|
|
29 | 29 | basestring |
|
|
30 | 30 | except: |
|
|
31 | 31 | basestring = str |
|
|
32 | 32 | |
|
|
33 | 33 | DEF_CATALOG = { |
|
|
34 | 34 | 'principleInvestigator': 'Marco Milla', |
|
|
35 | 35 | 'expPurpose': '', |
|
|
36 | 36 | 'cycleTime': '', |
|
|
37 | 37 | 'correlativeExp': '', |
|
|
38 | 38 | 'sciRemarks': '', |
|
|
39 | 39 | 'instRemarks': '' |
|
|
40 | 40 | } |
|
|
41 | ||
|
|
41 | ||
|
|
42 | 42 | DEF_HEADER = { |
|
|
43 | 43 | 'kindatDesc': '', |
|
|
44 | 44 | 'analyst': 'Jicamarca User', |
|
|
45 | 45 | 'comments': '', |
|
|
46 | 46 | 'history': '' |
|
|
47 | 47 | } |
|
|
48 | 48 | |
|
|
49 | 49 | MNEMONICS = { |
|
|
50 | 50 | 10: 'jro', |
|
|
51 | 51 | 11: 'jbr', |
|
|
52 | 52 | 840: 'jul', |
|
|
53 | 53 | 13: 'jas', |
|
|
54 | 54 | 1000: 'pbr', |
|
|
55 | 55 | 1001: 'hbr', |
|
|
56 | 56 | 1002: 'obr', |
|
|
57 | 57 | 400: 'clr' |
|
|
58 | 58 | |
|
|
59 | 59 | } |
|
|
60 | 60 | |
|
|
61 | 61 | UT1970 = datetime.datetime(1970, 1, 1) - datetime.timedelta(seconds=time.timezone) |
|
|
62 | 62 | |
|
|
63 | 63 | def load_json(obj): |
|
|
64 | 64 | ''' |
|
|
65 | 65 | Parse json as string instead of unicode |
|
|
66 | 66 | ''' |
|
|
67 | 67 | |
|
|
68 | 68 | if isinstance(obj, str): |
|
|
69 | 69 | iterable = json.loads(obj) |
|
|
70 | 70 | else: |
|
|
71 | 71 | iterable = obj |
|
|
72 | 72 | |
|
|
73 | 73 | if isinstance(iterable, dict): |
|
|
74 | 74 | return {str(k): load_json(v) if isinstance(v, dict) else str(v) if isinstance(v, basestring) else v |
|
|
75 | 75 | for k, v in list(iterable.items())} |
|
|
76 | 76 | elif isinstance(iterable, (list, tuple)): |
|
|
77 | 77 | return [str(v) if isinstance(v, basestring) else v for v in iterable] |
|
|
78 | ||
|
|
78 | ||
|
|
79 | 79 | return iterable |
|
|
80 | 80 | |
|
|
81 | 81 | |
|
|
82 | 82 | class MADReader(Reader, ProcessingUnit): |
|
|
83 | 83 | |
|
|
84 | 84 | def __init__(self): |
|
|
85 | 85 | |
|
|
86 | 86 | ProcessingUnit.__init__(self) |
|
|
87 | 87 | |
|
|
88 |
self.dataOut = Parameters() |
|
|
|
88 | self.dataOut = Parameters() | |
|
|
89 | 89 | self.counter_records = 0 |
|
|
90 | 90 | self.nrecords = None |
|
|
91 | 91 | self.flagNoMoreFiles = 0 |
|
|
92 |
self.filename = None |
|
|
|
92 | self.filename = None | |
|
|
93 | 93 | self.intervals = set() |
|
|
94 | 94 | self.datatime = datetime.datetime(1900,1,1) |
|
|
95 | 95 | self.format = None |
|
|
96 | 96 | self.filefmt = "***%Y%m%d*******" |
|
|
97 | ||
|
|
97 | ||
|
|
98 | 98 | def setup(self, **kwargs): |
|
|
99 | ||
|
|
99 | ||
|
|
100 | 100 | self.set_kwargs(**kwargs) |
|
|
101 | 101 | self.oneDDict = load_json(self.oneDDict) |
|
|
102 | 102 | self.twoDDict = load_json(self.twoDDict) |
|
|
103 | 103 | self.ind2DList = load_json(self.ind2DList) |
|
|
104 | 104 | self.independentParam = self.ind2DList[0] |
|
|
105 | 105 | |
|
|
106 | 106 | if self.path is None: |
|
|
107 | 107 | raise ValueError('The path is not valid') |
|
|
108 | 108 | |
|
|
109 | 109 | self.open_file = open |
|
|
110 | 110 | self.open_mode = 'rb' |
|
|
111 | 111 | |
|
|
112 | 112 | if self.format is None: |
|
|
113 | 113 | raise ValueError('The format is not valid choose simple or hdf5') |
|
|
114 | 114 | elif self.format.lower() in ('simple', 'txt'): |
|
|
115 | 115 | self.ext = '.txt' |
|
|
116 | 116 | elif self.format.lower() in ('cedar',): |
|
|
117 | 117 | self.ext = '.001' |
|
|
118 | 118 | else: |
|
|
119 | 119 | self.ext = '.hdf5' |
|
|
120 | 120 | self.open_file = h5py.File |
|
|
121 | 121 | self.open_mode = 'r' |
|
|
122 | 122 | |
|
|
123 | 123 | if self.online: |
|
|
124 | 124 | log.log("Searching files in online mode...", self.name) |
|
|
125 | 125 | |
|
|
126 | 126 | for nTries in range(self.nTries): |
|
|
127 | 127 | fullpath = self.searchFilesOnLine(self.path, self.startDate, |
|
|
128 |
self.endDate, self.expLabel, self.ext, self.walk, |
|
|
|
128 | self.endDate, self.expLabel, self.ext, self.walk, | |
|
|
129 | 129 | self.filefmt, self.folderfmt) |
|
|
130 | 130 | |
|
|
131 | 131 | try: |
|
|
132 | 132 | fullpath = next(fullpath) |
|
|
133 | 133 | except: |
|
|
134 | 134 | fullpath = None |
|
|
135 | ||
|
|
135 | ||
|
|
136 | 136 | if fullpath: |
|
|
137 | 137 | break |
|
|
138 | 138 | |
|
|
139 | 139 | log.warning( |
|
|
140 | 140 | 'Waiting {} sec for a valid file in {}: try {} ...'.format( |
|
|
141 |
self.delay, self.path, nTries + 1), |
|
|
|
141 | self.delay, self.path, nTries + 1), | |
|
|
142 | 142 | self.name) |
|
|
143 | 143 | time.sleep(self.delay) |
|
|
144 | 144 | |
|
|
145 | 145 | if not(fullpath): |
|
|
146 | 146 | raise schainpy.admin.SchainError( |
|
|
147 |
'There isn\'t any valid file in {}'.format(self.path)) |
|
|
|
148 | ||
|
|
147 | 'There isn\'t any valid file in {}'.format(self.path)) | |
|
|
148 | ||
|
|
149 | 149 | else: |
|
|
150 | 150 | log.log("Searching files in {}".format(self.path), self.name) |
|
|
151 |
self.filenameList = self.searchFilesOffLine(self.path, self.startDate, |
|
|
|
151 | self.filenameList = self.searchFilesOffLine(self.path, self.startDate, | |
|
|
152 | 152 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt) |
|
|
153 | ||
|
|
153 | ||
|
|
154 | 154 | self.setNextFile() |
|
|
155 | 155 | |
|
|
156 | 156 | def readFirstHeader(self): |
|
|
157 | 157 | '''Read header and data''' |
|
|
158 | 158 | |
|
|
159 | 159 | self.parseHeader() |
|
|
160 | 160 | self.parseData() |
|
|
161 | 161 | self.blockIndex = 0 |
|
|
162 | ||
|
|
163 |
return |
|
|
|
162 | ||
|
|
163 | return | |
|
|
164 | 164 | |
|
|
165 | 165 | def parseHeader(self): |
|
|
166 | 166 | ''' |
|
|
167 | 167 | ''' |
|
|
168 | 168 | |
|
|
169 | 169 | self.output = {} |
|
|
170 | 170 | self.version = '2' |
|
|
171 | 171 | s_parameters = None |
|
|
172 | 172 | if self.ext == '.txt': |
|
|
173 | 173 | self.parameters = [s.strip().lower() for s in self.fp.readline().decode().strip().split(' ') if s] |
|
|
174 | 174 | elif self.ext == '.hdf5': |
|
|
175 | 175 | self.metadata = self.fp['Metadata'] |
|
|
176 | 176 | if '_record_layout' in self.metadata: |
|
|
177 | 177 | s_parameters = [s[0].lower().decode() for s in self.metadata['Independent Spatial Parameters']] |
|
|
178 | 178 | self.version = '3' |
|
|
179 | 179 | self.parameters = [s[0].lower().decode() for s in self.metadata['Data Parameters']] |
|
|
180 | 180 | |
|
|
181 | 181 | log.success('Parameters found: {}'.format(self.parameters), |
|
|
182 | 182 | 'MADReader') |
|
|
183 | 183 | if s_parameters: |
|
|
184 | 184 | log.success('Spatial parameters found: {}'.format(s_parameters), |
|
|
185 | 185 | 'MADReader') |
|
|
186 | ||
|
|
186 | ||
|
|
187 | 187 | for param in list(self.oneDDict.keys()): |
|
|
188 | 188 | if param.lower() not in self.parameters: |
|
|
189 | 189 | log.warning( |
|
|
190 | 190 | 'Parameter {} not found will be ignored'.format( |
|
|
191 | 191 | param), |
|
|
192 | 192 | 'MADReader') |
|
|
193 | 193 | self.oneDDict.pop(param, None) |
|
|
194 | ||
|
|
194 | ||
|
|
195 | 195 | for param, value in list(self.twoDDict.items()): |
|
|
196 | 196 | if param.lower() not in self.parameters: |
|
|
197 | 197 | log.warning( |
|
|
198 | 198 | 'Parameter {} not found, it will be ignored'.format( |
|
|
199 | 199 | param), |
|
|
200 | 200 | 'MADReader') |
|
|
201 | 201 | self.twoDDict.pop(param, None) |
|
|
202 | 202 | continue |
|
|
203 | 203 | if isinstance(value, list): |
|
|
204 | 204 | if value[0] not in self.output: |
|
|
205 | 205 | self.output[value[0]] = [] |
|
|
206 | 206 | self.output[value[0]].append([]) |
|
|
207 | 207 | |
|
|
208 | 208 | def parseData(self): |
|
|
209 | 209 | ''' |
|
|
210 | 210 | ''' |
|
|
211 | 211 | |
|
|
212 | 212 | if self.ext == '.txt': |
|
|
213 | 213 | self.data = numpy.genfromtxt(self.fp, missing_values=('missing')) |
|
|
214 | 214 | self.nrecords = self.data.shape[0] |
|
|
215 | 215 | self.ranges = numpy.unique(self.data[:,self.parameters.index(self.independentParam.lower())]) |
|
|
216 | 216 | self.counter_records = 0 |
|
|
217 | 217 | elif self.ext == '.hdf5': |
|
|
218 | 218 | self.data = self.fp['Data'] |
|
|
219 | 219 | self.ranges = numpy.unique(self.data['Table Layout'][self.independentParam.lower()]) |
|
|
220 | 220 | self.times = numpy.unique(self.data['Table Layout']['ut1_unix']) |
|
|
221 | 221 | self.counter_records = int(self.data['Table Layout']['recno'][0]) |
|
|
222 | 222 | self.nrecords = int(self.data['Table Layout']['recno'][-1]) |
|
|
223 | 223 | |
|
|
224 | 224 | def readNextBlock(self): |
|
|
225 | 225 | |
|
|
226 | 226 | while True: |
|
|
227 | 227 | self.flagDiscontinuousBlock = 0 |
|
|
228 | 228 | if self.counter_records == self.nrecords: |
|
|
229 |
self.setNextFile() |
|
|
|
229 | self.setNextFile() | |
|
|
230 | 230 | |
|
|
231 | 231 | self.readBlock() |
|
|
232 | ||
|
|
232 | ||
|
|
233 | 233 | if (self.datatime < datetime.datetime.combine(self.startDate, self.startTime)) or \ |
|
|
234 | 234 | (self.datatime > datetime.datetime.combine(self.endDate, self.endTime)): |
|
|
235 | 235 | log.warning( |
|
|
236 | 236 | 'Reading Record No. {}/{} -> {} [Skipping]'.format( |
|
|
237 | 237 | self.counter_records, |
|
|
238 | 238 | self.nrecords, |
|
|
239 | 239 | self.datatime.ctime()), |
|
|
240 | 240 | 'MADReader') |
|
|
241 | 241 | continue |
|
|
242 | 242 | break |
|
|
243 | 243 | |
|
|
244 | 244 | log.log( |
|
|
245 | 245 | 'Reading Record No. {}/{} -> {}'.format( |
|
|
246 | 246 | self.counter_records, |
|
|
247 | 247 | self.nrecords, |
|
|
248 | 248 | self.datatime.ctime()), |
|
|
249 | 249 | 'MADReader') |
|
|
250 | 250 | |
|
|
251 | 251 | return 1 |
|
|
252 | 252 | |
|
|
253 | 253 | def readBlock(self): |
|
|
254 | 254 | ''' |
|
|
255 | 255 | ''' |
|
|
256 | 256 | dum = [] |
|
|
257 | 257 | if self.ext == '.txt': |
|
|
258 | 258 | dt = self.data[self.counter_records][:6].astype(int) |
|
|
259 | 259 | if datetime.datetime(dt[0], dt[1], dt[2], dt[3], dt[4], dt[5]).date() > self.datatime.date(): |
|
|
260 | 260 | self.flagDiscontinuousBlock = 1 |
|
|
261 | 261 | self.datatime = datetime.datetime(dt[0], dt[1], dt[2], dt[3], dt[4], dt[5]) |
|
|
262 | 262 | while True: |
|
|
263 | 263 | dt = self.data[self.counter_records][:6].astype(int) |
|
|
264 | 264 | datatime = datetime.datetime(dt[0], dt[1], dt[2], dt[3], dt[4], dt[5]) |
|
|
265 | 265 | if datatime == self.datatime: |
|
|
266 | 266 | dum.append(self.data[self.counter_records]) |
|
|
267 | 267 | self.counter_records += 1 |
|
|
268 | 268 | if self.counter_records == self.nrecords: |
|
|
269 | 269 | break |
|
|
270 | 270 | continue |
|
|
271 |
self.intervals.add((datatime-self.datatime).seconds) |
|
|
|
271 | self.intervals.add((datatime-self.datatime).seconds) | |
|
|
272 | 272 | break |
|
|
273 | 273 | elif self.ext == '.hdf5': |
|
|
274 | 274 | datatime = datetime.datetime.utcfromtimestamp( |
|
|
275 | 275 | self.times[self.counter_records]) |
|
|
276 | 276 | dum = self.data['Table Layout'][self.data['Table Layout']['recno']==self.counter_records] |
|
|
277 | 277 | self.intervals.add((datatime-self.datatime).seconds) |
|
|
278 | 278 | if datatime.date()>self.datatime.date(): |
|
|
279 | 279 | self.flagDiscontinuousBlock = 1 |
|
|
280 | 280 | self.datatime = datatime |
|
|
281 |
self.counter_records += 1 |
|
|
|
282 | ||
|
|
281 | self.counter_records += 1 | |
|
|
282 | ||
|
|
283 | 283 | self.buffer = numpy.array(dum) |
|
|
284 | 284 | return |
|
|
285 | 285 | |
|
|
286 | 286 | def set_output(self): |
|
|
287 | 287 | ''' |
|
|
288 | 288 | Storing data from buffer to dataOut object |
|
|
289 |
''' |
|
|
|
289 | ''' | |
|
|
290 | 290 | |
|
|
291 | 291 | parameters = [None for __ in self.parameters] |
|
|
292 | 292 | |
|
|
293 |
for param, attr in list(self.oneDDict.items()): |
|
|
|
293 | for param, attr in list(self.oneDDict.items()): | |
|
|
294 | 294 | x = self.parameters.index(param.lower()) |
|
|
295 | 295 | setattr(self.dataOut, attr, self.buffer[0][x]) |
|
|
296 | 296 | |
|
|
297 | 297 | for param, value in list(self.twoDDict.items()): |
|
|
298 |
dummy = numpy.zeros(self.ranges.shape) + numpy.nan |
|
|
|
298 | dummy = numpy.zeros(self.ranges.shape) + numpy.nan | |
|
|
299 | 299 | if self.ext == '.txt': |
|
|
300 | 300 | x = self.parameters.index(param.lower()) |
|
|
301 |
y = self.parameters.index(self.independentParam.lower()) |
|
|
|
301 | y = self.parameters.index(self.independentParam.lower()) | |
|
|
302 | 302 | ranges = self.buffer[:,y] |
|
|
303 | 303 | #if self.ranges.size == ranges.size: |
|
|
304 | 304 | # continue |
|
|
305 | 305 | index = numpy.where(numpy.in1d(self.ranges, ranges))[0] |
|
|
306 | 306 | dummy[index] = self.buffer[:,x] |
|
|
307 | 307 | else: |
|
|
308 | 308 | ranges = self.buffer[self.independentParam.lower()] |
|
|
309 | 309 | index = numpy.where(numpy.in1d(self.ranges, ranges))[0] |
|
|
310 | 310 | dummy[index] = self.buffer[param.lower()] |
|
|
311 | ||
|
|
311 | ||
|
|
312 | 312 | if isinstance(value, str): |
|
|
313 |
if value not in self.independentParam: |
|
|
|
313 | if value not in self.independentParam: | |
|
|
314 | 314 | setattr(self.dataOut, value, dummy.reshape(1,-1)) |
|
|
315 |
elif isinstance(value, list): |
|
|
|
315 | elif isinstance(value, list): | |
|
|
316 | 316 | self.output[value[0]][value[1]] = dummy |
|
|
317 | 317 | parameters[value[1]] = param |
|
|
318 | 318 | for key, value in list(self.output.items()): |
|
|
319 | 319 | setattr(self.dataOut, key, numpy.array(value)) |
|
|
320 | ||
|
|
320 | ||
|
|
321 | 321 | self.dataOut.parameters = [s for s in parameters if s] |
|
|
322 | 322 | self.dataOut.heightList = self.ranges |
|
|
323 | 323 | self.dataOut.utctime = (self.datatime - datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
324 |
self.dataOut.utctimeInit = self.dataOut.utctime |
|
|
|
324 | self.dataOut.utctimeInit = self.dataOut.utctime | |
|
|
325 | 325 | self.dataOut.paramInterval = min(self.intervals) |
|
|
326 |
self.dataOut.useLocalTime = False |
|
|
|
327 |
self.dataOut.flagNoData = False |
|
|
|
326 | self.dataOut.useLocalTime = False | |
|
|
327 | self.dataOut.flagNoData = False | |
|
|
328 | 328 | self.dataOut.nrecords = self.nrecords |
|
|
329 | 329 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
330 | 330 | |
|
|
331 | 331 | def getData(self): |
|
|
332 | 332 | ''' |
|
|
333 | 333 | Storing data from databuffer to dataOut object |
|
|
334 | 334 | ''' |
|
|
335 | 335 | |
|
|
336 | 336 | if not self.readNextBlock(): |
|
|
337 | 337 | self.dataOut.flagNoData = True |
|
|
338 | 338 | return 0 |
|
|
339 | 339 | |
|
|
340 | 340 | self.set_output() |
|
|
341 | 341 | |
|
|
342 | 342 | return 1 |
|
|
343 | 343 | |
|
|
344 | 344 | def run(self, **kwargs): |
|
|
345 | 345 | |
|
|
346 | 346 | if not(self.isConfig): |
|
|
347 | 347 | self.setup(**kwargs) |
|
|
348 | 348 | self.isConfig = True |
|
|
349 | 349 | |
|
|
350 | 350 | self.getData() |
|
|
351 | 351 | |
|
|
352 | 352 | return |
|
|
353 | 353 | |
|
|
354 | 354 | @MPDecorator |
|
|
355 | 355 | class MADWriter(Operation): |
|
|
356 | 356 | '''Writing module for Madrigal files |
|
|
357 | ||
|
|
357 | ||
|
|
358 | 358 | type: external |
|
|
359 | 359 | |
|
|
360 | 360 | Inputs: |
|
|
361 | 361 | path path where files will be created |
|
|
362 | 362 | oneDDict json of one-dimensional parameters in record where keys |
|
|
363 | 363 | are Madrigal codes (integers or mnemonics) and values the corresponding |
|
|
364 | 364 | dataOut attribute e.g: { |
|
|
365 | 365 | 'gdlatr': 'lat', |
|
|
366 | 366 | 'gdlonr': 'lon', |
|
|
367 | 367 | 'gdlat2':'lat', |
|
|
368 | 368 | 'glon2':'lon'} |
|
|
369 | 369 | ind2DList list of independent spatial two-dimensional parameters e.g: |
|
|
370 | 370 | ['heigthList'] |
|
|
371 | 371 | twoDDict json of two-dimensional parameters in record where keys |
|
|
372 | 372 | are Madrigal codes (integers or mnemonics) and values the corresponding |
|
|
373 | 373 | dataOut attribute if multidimensional array specify as tupple |
|
|
374 | 374 | ('attr', pos) e.g: { |
|
|
375 | 375 | 'gdalt': 'heightList', |
|
|
376 | 376 | 'vn1p2': ('data_output', 0), |
|
|
377 | 377 | 'vn2p2': ('data_output', 1), |
|
|
378 | 378 | 'vn3': ('data_output', 2), |
|
|
379 | 379 | 'snl': ('data_SNR', 'db') |
|
|
380 | 380 | } |
|
|
381 | 381 | metadata json of madrigal metadata (kinst, kindat, catalog and header) |
|
|
382 | 382 | format hdf5, cedar |
|
|
383 | 383 | blocks number of blocks per file''' |
|
|
384 | 384 | |
|
|
385 | 385 | __attrs__ = ['path', 'oneDDict', 'ind2DList', 'twoDDict','metadata', 'format', 'blocks'] |
|
|
386 | 386 | missing = -32767 |
|
|
387 | ||
|
|
387 | ||
|
|
388 | 388 | def __init__(self): |
|
|
389 | 389 | |
|
|
390 | 390 | Operation.__init__(self) |
|
|
391 | 391 | self.dataOut = Parameters() |
|
|
392 | 392 | self.counter = 0 |
|
|
393 | 393 | self.path = None |
|
|
394 | 394 | self.fp = None |
|
|
395 | 395 | |
|
|
396 | 396 | def run(self, dataOut, path, oneDDict, ind2DList='[]', twoDDict='{}', |
|
|
397 | 397 | metadata='{}', format='cedar', **kwargs): |
|
|
398 | ||
|
|
398 | ||
|
|
399 | ||
|
|
400 | #if dataOut.AUX==1: #Modified | |
|
|
401 | ||
|
|
399 | 402 | if not self.isConfig: |
|
|
400 | 403 | self.setup(path, oneDDict, ind2DList, twoDDict, metadata, format, **kwargs) |
|
|
401 | 404 | self.isConfig = True |
|
|
402 | ||
|
|
403 |
self.dataOut = dataOut |
|
|
|
404 |
self.putData() |
|
|
|
405 | ||
|
|
406 | self.dataOut = dataOut | |
|
|
407 | self.putData() | |
|
|
408 | ||
|
|
405 | 409 | return 1 |
|
|
406 | ||
|
|
410 | ||
|
|
407 | 411 | def setup(self, path, oneDDict, ind2DList, twoDDict, metadata, format, **kwargs): |
|
|
408 | 412 | ''' |
|
|
409 |
Configure Operation |
|
|
|
413 | Configure Operation | |
|
|
410 | 414 | ''' |
|
|
411 | ||
|
|
415 | ||
|
|
412 | 416 | self.path = path |
|
|
413 | 417 | self.blocks = kwargs.get('blocks', None) |
|
|
414 | 418 | self.counter = 0 |
|
|
415 | 419 | self.oneDDict = load_json(oneDDict) |
|
|
416 | 420 | self.twoDDict = load_json(twoDDict) |
|
|
417 | 421 | self.ind2DList = load_json(ind2DList) |
|
|
418 |
meta = load_json(metadata) |
|
|
|
422 | meta = load_json(metadata) | |
|
|
419 | 423 | self.kinst = meta.get('kinst') |
|
|
420 | 424 | self.kindat = meta.get('kindat') |
|
|
421 | 425 | self.catalog = meta.get('catalog', DEF_CATALOG) |
|
|
422 | 426 | self.header = meta.get('header', DEF_HEADER) |
|
|
423 | 427 | if format == 'cedar': |
|
|
424 | 428 | self.ext = '.dat' |
|
|
425 | 429 | self.extra_args = {} |
|
|
426 | 430 | elif format == 'hdf5': |
|
|
427 | 431 | self.ext = '.hdf5' |
|
|
428 | 432 | self.extra_args = {'ind2DList': self.ind2DList} |
|
|
429 | ||
|
|
430 |
self.keys = [k.lower() for k in self.twoDDict] |
|
|
|
433 | ||
|
|
434 | self.keys = [k.lower() for k in self.twoDDict] | |
|
|
431 | 435 | if 'range' in self.keys: |
|
|
432 | 436 | self.keys.remove('range') |
|
|
433 | 437 | if 'gdalt' in self.keys: |
|
|
434 | 438 | self.keys.remove('gdalt') |
|
|
435 | 439 | |
|
|
436 | 440 | def setFile(self): |
|
|
437 | 441 | ''' |
|
|
438 | 442 | Create new cedar file object |
|
|
439 | 443 | ''' |
|
|
440 | 444 | |
|
|
441 | 445 | self.mnemonic = MNEMONICS[self.kinst] #TODO get mnemonic from madrigal |
|
|
442 | 446 | date = datetime.datetime.utcfromtimestamp(self.dataOut.utctime) |
|
|
447 | #if self.dataOut.input_dat_type: | |
|
|
448 | #date=datetime.datetime.fromtimestamp(self.dataOut.TimeBlockSeconds_for_dp_power) | |
|
|
449 | #print("date",date) | |
|
|
443 | 450 | |
|
|
444 | 451 | filename = '{}{}{}'.format(self.mnemonic, |
|
|
445 | 452 | date.strftime('%Y%m%d_%H%M%S'), |
|
|
446 | 453 | self.ext) |
|
|
447 | ||
|
|
454 | ||
|
|
448 | 455 | self.fullname = os.path.join(self.path, filename) |
|
|
449 | ||
|
|
450 |
if os.path.isfile(self.fullname) : |
|
|
|
456 | ||
|
|
457 | if os.path.isfile(self.fullname) : | |
|
|
451 | 458 | log.warning( |
|
|
452 | 459 | 'Destination file {} already exists, previous file deleted.'.format( |
|
|
453 | 460 | self.fullname), |
|
|
454 | 461 | 'MADWriter') |
|
|
455 | 462 | os.remove(self.fullname) |
|
|
456 | ||
|
|
463 | ||
|
|
457 | 464 | try: |
|
|
458 | 465 | log.success( |
|
|
459 | 466 | 'Creating file: {}'.format(self.fullname), |
|
|
460 | 467 | 'MADWriter') |
|
|
461 | 468 | if not os.path.exists(self.path): |
|
|
462 | 469 | os.makedirs(self.path) |
|
|
463 | 470 | self.fp = madrigal.cedar.MadrigalCedarFile(self.fullname, True) |
|
|
471 | ||
|
|
472 | ||
|
|
464 | 473 | except ValueError as e: |
|
|
465 | 474 | log.error( |
|
|
466 | 475 | 'Impossible to create a cedar object with "madrigal.cedar.MadrigalCedarFile"', |
|
|
467 | 476 | 'MADWriter') |
|
|
468 | 477 | return |
|
|
469 | 478 | |
|
|
470 | 479 | return 1 |
|
|
471 | 480 | |
|
|
472 | 481 | def writeBlock(self): |
|
|
473 | 482 | ''' |
|
|
474 | 483 | Add data records to cedar file taking data from oneDDict and twoDDict |
|
|
475 | 484 | attributes. |
|
|
476 | 485 | Allowed parameters in: parcodes.tab |
|
|
477 | 486 | ''' |
|
|
478 | ||
|
|
487 | #self.dataOut.paramInterval=2 | |
|
|
479 | 488 | startTime = datetime.datetime.utcfromtimestamp(self.dataOut.utctime) |
|
|
489 | ||
|
|
480 | 490 | endTime = startTime + datetime.timedelta(seconds=self.dataOut.paramInterval) |
|
|
491 | ||
|
|
492 | #if self.dataOut.input_dat_type: | |
|
|
493 | #if self.dataOut.experiment=="DP": | |
|
|
494 | #startTime=datetime.datetime.fromtimestamp(self.dataOut.TimeBlockSeconds_for_dp_power) | |
|
|
495 | #endTime = startTime + datetime.timedelta(seconds=self.dataOut.paramInterval) | |
|
|
496 | ||
|
|
497 | ||
|
|
498 | #print("2: ",startTime) | |
|
|
499 | #print(endTime) | |
|
|
481 | 500 | heights = self.dataOut.heightList |
|
|
482 | 501 | |
|
|
502 | #print(self.blocks) | |
|
|
503 | #print(startTime) | |
|
|
504 | #print(endTime) | |
|
|
505 | #print(heights) | |
|
|
506 | #input() | |
|
|
483 | 507 | if self.ext == '.dat': |
|
|
484 | 508 | for key, value in list(self.twoDDict.items()): |
|
|
485 | 509 | if isinstance(value, str): |
|
|
486 | 510 | data = getattr(self.dataOut, value) |
|
|
487 | 511 | invalid = numpy.isnan(data) |
|
|
488 | 512 | data[invalid] = self.missing |
|
|
489 | 513 | elif isinstance(value, (tuple, list)): |
|
|
490 | 514 | attr, key = value |
|
|
491 | 515 | data = getattr(self.dataOut, attr) |
|
|
492 | 516 | invalid = numpy.isnan(data) |
|
|
493 | 517 | data[invalid] = self.missing |
|
|
494 | 518 | |
|
|
495 | 519 | out = {} |
|
|
496 | 520 | for key, value in list(self.twoDDict.items()): |
|
|
497 | 521 | key = key.lower() |
|
|
498 | 522 | if isinstance(value, str): |
|
|
499 | 523 | if 'db' in value.lower(): |
|
|
500 | 524 | tmp = getattr(self.dataOut, value.replace('_db', '')) |
|
|
501 | 525 | SNRavg = numpy.average(tmp, axis=0) |
|
|
502 | 526 | tmp = 10*numpy.log10(SNRavg) |
|
|
503 | 527 | else: |
|
|
504 | 528 | tmp = getattr(self.dataOut, value) |
|
|
505 | 529 | out[key] = tmp.flatten()[:len(heights)] |
|
|
506 | 530 | elif isinstance(value, (tuple, list)): |
|
|
507 | 531 | attr, x = value |
|
|
508 |
data = getattr(self.dataOut, attr) |
|
|
|
532 | data = getattr(self.dataOut, attr) | |
|
|
533 | #print(x) | |
|
|
534 | #print(len(heights)) | |
|
|
535 | #print(data[int(x)][:len(heights)]) | |
|
|
536 | #print(numpy.shape(out)) | |
|
|
537 | #print(numpy.shape(data)) | |
|
|
538 | ||
|
|
509 | 539 | out[key] = data[int(x)][:len(heights)] |
|
|
510 | ||
|
|
540 | ||
|
|
511 | 541 | a = numpy.array([out[k] for k in self.keys]) |
|
|
542 | #print(a) | |
|
|
512 | 543 | nrows = numpy.array([numpy.isnan(a[:, x]).all() for x in range(len(heights))]) |
|
|
513 | 544 | index = numpy.where(nrows == False)[0] |
|
|
514 | 545 | |
|
|
546 | #print(startTime.minute) | |
|
|
515 | 547 | rec = madrigal.cedar.MadrigalDataRecord( |
|
|
516 | 548 | self.kinst, |
|
|
517 | 549 | self.kindat, |
|
|
518 | 550 | startTime.year, |
|
|
519 | 551 | startTime.month, |
|
|
520 | 552 | startTime.day, |
|
|
521 | 553 | startTime.hour, |
|
|
522 | 554 | startTime.minute, |
|
|
523 | 555 | startTime.second, |
|
|
524 | 556 | startTime.microsecond/10000, |
|
|
525 | 557 | endTime.year, |
|
|
526 | 558 | endTime.month, |
|
|
527 | 559 | endTime.day, |
|
|
528 | 560 | endTime.hour, |
|
|
529 | 561 | endTime.minute, |
|
|
530 | 562 | endTime.second, |
|
|
531 | 563 | endTime.microsecond/10000, |
|
|
532 | 564 | list(self.oneDDict.keys()), |
|
|
533 | 565 | list(self.twoDDict.keys()), |
|
|
534 | 566 | len(index), |
|
|
535 | 567 | **self.extra_args |
|
|
536 | 568 | ) |
|
|
537 | ||
|
|
538 |
# Setting 1d values |
|
|
|
569 | #print("rec",rec) | |
|
|
570 | # Setting 1d values | |
|
|
539 | 571 | for key in self.oneDDict: |
|
|
540 | 572 | rec.set1D(key, getattr(self.dataOut, self.oneDDict[key])) |
|
|
541 | 573 | |
|
|
542 | 574 | # Setting 2d values |
|
|
543 | 575 | nrec = 0 |
|
|
544 |
for n in index: |
|
|
|
576 | for n in index: | |
|
|
545 | 577 | for key in out: |
|
|
546 | 578 | rec.set2D(key, nrec, out[key][n]) |
|
|
547 |
nrec += 1 |
|
|
|
579 | nrec += 1 | |
|
|
548 | 580 | |
|
|
549 | 581 | self.fp.append(rec) |
|
|
550 |
if self.ext == '.hdf5' and self.counter % |
|
|
|
582 | if self.ext == '.hdf5' and self.counter %2 == 0 and self.counter > 0: | |
|
|
583 | #print("here") | |
|
|
551 | 584 | self.fp.dump() |
|
|
552 | 585 | if self.counter % 20 == 0 and self.counter > 0: |
|
|
586 | #self.fp.write() | |
|
|
553 | 587 | log.log( |
|
|
554 | 588 | 'Writing {} records'.format( |
|
|
555 | 589 | self.counter), |
|
|
556 | 590 | 'MADWriter') |
|
|
557 | 591 | |
|
|
558 | 592 | def setHeader(self): |
|
|
559 | 593 | ''' |
|
|
560 | 594 | Create an add catalog and header to cedar file |
|
|
561 |
''' |
|
|
|
562 | ||
|
|
595 | ''' | |
|
|
596 | ||
|
|
563 | 597 | log.success('Closing file {}'.format(self.fullname), 'MADWriter') |
|
|
564 | 598 | |
|
|
565 | 599 | if self.ext == '.dat': |
|
|
566 | 600 | self.fp.write() |
|
|
567 | 601 | else: |
|
|
568 | 602 | self.fp.dump() |
|
|
569 | 603 | self.fp.close() |
|
|
570 | ||
|
|
571 |
header = madrigal.cedar.CatalogHeaderCreator(self.fullname) |
|
|
|
604 | ||
|
|
605 | header = madrigal.cedar.CatalogHeaderCreator(self.fullname) | |
|
|
572 | 606 | header.createCatalog(**self.catalog) |
|
|
573 | 607 | header.createHeader(**self.header) |
|
|
574 | 608 | header.write() |
|
|
575 | ||
|
|
609 | ||
|
|
576 | 610 | def putData(self): |
|
|
577 | 611 | |
|
|
578 | 612 | if self.dataOut.flagNoData: |
|
|
579 |
return 0 |
|
|
|
580 | ||
|
|
613 | return 0 | |
|
|
614 | ||
|
|
581 | 615 | if self.dataOut.flagDiscontinuousBlock or self.counter == self.blocks: |
|
|
582 | 616 | if self.counter > 0: |
|
|
583 | 617 | self.setHeader() |
|
|
584 | 618 | self.counter = 0 |
|
|
585 | 619 | |
|
|
586 | 620 | if self.counter == 0: |
|
|
587 | 621 | self.setFile() |
|
|
588 | ||
|
|
622 | ||
|
|
589 | 623 | self.writeBlock() |
|
|
590 |
self.counter += 1 |
|
|
|
591 | ||
|
|
624 | self.counter += 1 | |
|
|
625 | ||
|
|
592 | 626 | def close(self): |
|
|
593 | ||
|
|
594 |
if self.counter > 0: |
|
|
|
595 | self.setHeader() No newline at end of file | |
|
|
627 | ||
|
|
628 | if self.counter > 0: | |
|
|
629 | self.setHeader() | |
| @@ -1,626 +1,627 | |||
|
|
1 | 1 | import os |
|
|
2 | 2 | import time |
|
|
3 | 3 | import datetime |
|
|
4 | 4 | |
|
|
5 | 5 | import numpy |
|
|
6 | 6 | import h5py |
|
|
7 | 7 | |
|
|
8 | 8 | import schainpy.admin |
|
|
9 | 9 | from schainpy.model.data.jrodata import * |
|
|
10 | 10 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
|
11 | 11 | from schainpy.model.io.jroIO_base import * |
|
|
12 | 12 | from schainpy.utils import log |
|
|
13 | 13 | |
|
|
14 | 14 | |
|
|
15 | 15 | class HDFReader(Reader, ProcessingUnit): |
|
|
16 | 16 | """Processing unit to read HDF5 format files |
|
|
17 | 17 | |
|
|
18 | 18 | This unit reads HDF5 files created with `HDFWriter` operation contains |
|
|
19 | 19 | by default two groups Data and Metadata all variables would be saved as `dataOut` |
|
|
20 |
attributes. |
|
|
|
20 | attributes. | |
|
|
21 | 21 | It is possible to read any HDF5 file by given the structure in the `description` |
|
|
22 | 22 | parameter, also you can add extra values to metadata with the parameter `extras`. |
|
|
23 | 23 | |
|
|
24 | 24 | Parameters: |
|
|
25 | 25 | ----------- |
|
|
26 | 26 | path : str |
|
|
27 | 27 | Path where files are located. |
|
|
28 | 28 | startDate : date |
|
|
29 | 29 | Start date of the files |
|
|
30 | 30 | endDate : list |
|
|
31 | 31 | End date of the files |
|
|
32 | 32 | startTime : time |
|
|
33 | 33 | Start time of the files |
|
|
34 | 34 | endTime : time |
|
|
35 | 35 | End time of the files |
|
|
36 | 36 | description : dict, optional |
|
|
37 | 37 | Dictionary with the description of the HDF5 file |
|
|
38 | 38 | extras : dict, optional |
|
|
39 | 39 | Dictionary with extra metadata to be be added to `dataOut` |
|
|
40 | ||
|
|
40 | ||
|
|
41 | 41 | Examples |
|
|
42 | 42 | -------- |
|
|
43 | ||
|
|
43 | ||
|
|
44 | 44 | desc = { |
|
|
45 | 45 | 'Data': { |
|
|
46 | 46 | 'data_output': ['u', 'v', 'w'], |
|
|
47 | 47 | 'utctime': 'timestamps', |
|
|
48 | 48 | } , |
|
|
49 | 49 | 'Metadata': { |
|
|
50 | 50 | 'heightList': 'heights' |
|
|
51 | 51 | } |
|
|
52 | 52 | } |
|
|
53 | 53 | |
|
|
54 | 54 | desc = { |
|
|
55 | 55 | 'Data': { |
|
|
56 | 56 | 'data_output': 'winds', |
|
|
57 | 57 | 'utctime': 'timestamps' |
|
|
58 | 58 | }, |
|
|
59 | 59 | 'Metadata': { |
|
|
60 | 60 | 'heightList': 'heights' |
|
|
61 | 61 | } |
|
|
62 | 62 | } |
|
|
63 | 63 | |
|
|
64 | 64 | extras = { |
|
|
65 | 65 | 'timeZone': 300 |
|
|
66 | 66 | } |
|
|
67 | ||
|
|
67 | ||
|
|
68 | 68 | reader = project.addReadUnit( |
|
|
69 | 69 | name='HDFReader', |
|
|
70 | 70 | path='/path/to/files', |
|
|
71 | 71 | startDate='2019/01/01', |
|
|
72 | 72 | endDate='2019/01/31', |
|
|
73 | 73 | startTime='00:00:00', |
|
|
74 | 74 | endTime='23:59:59', |
|
|
75 | 75 | # description=json.dumps(desc), |
|
|
76 | 76 | # extras=json.dumps(extras), |
|
|
77 | 77 | ) |
|
|
78 | 78 | |
|
|
79 | 79 | """ |
|
|
80 | 80 | |
|
|
81 | 81 | __attrs__ = ['path', 'startDate', 'endDate', 'startTime', 'endTime', 'description', 'extras'] |
|
|
82 | 82 | |
|
|
83 | 83 | def __init__(self): |
|
|
84 | 84 | ProcessingUnit.__init__(self) |
|
|
85 | 85 | self.dataOut = Parameters() |
|
|
86 | 86 | self.ext = ".hdf5" |
|
|
87 | 87 | self.optchar = "D" |
|
|
88 | 88 | self.meta = {} |
|
|
89 | 89 | self.data = {} |
|
|
90 | 90 | self.open_file = h5py.File |
|
|
91 | 91 | self.open_mode = 'r' |
|
|
92 | 92 | self.description = {} |
|
|
93 | 93 | self.extras = {} |
|
|
94 | 94 | self.filefmt = "*%Y%j***" |
|
|
95 | 95 | self.folderfmt = "*%Y%j" |
|
|
96 | 96 | |
|
|
97 | 97 | def setup(self, **kwargs): |
|
|
98 | 98 | |
|
|
99 | 99 | self.set_kwargs(**kwargs) |
|
|
100 | 100 | if not self.ext.startswith('.'): |
|
|
101 |
self.ext = '.{}'.format(self.ext) |
|
|
|
101 | self.ext = '.{}'.format(self.ext) | |
|
|
102 | 102 | |
|
|
103 | 103 | if self.online: |
|
|
104 | 104 | log.log("Searching files in online mode...", self.name) |
|
|
105 | 105 | |
|
|
106 | 106 | for nTries in range(self.nTries): |
|
|
107 | 107 | fullpath = self.searchFilesOnLine(self.path, self.startDate, |
|
|
108 |
self.endDate, self.expLabel, self.ext, self.walk, |
|
|
|
108 | self.endDate, self.expLabel, self.ext, self.walk, | |
|
|
109 | 109 | self.filefmt, self.folderfmt) |
|
|
110 | 110 | try: |
|
|
111 | 111 | fullpath = next(fullpath) |
|
|
112 | 112 | except: |
|
|
113 | 113 | fullpath = None |
|
|
114 | ||
|
|
114 | ||
|
|
115 | 115 | if fullpath: |
|
|
116 | 116 | break |
|
|
117 | 117 | |
|
|
118 | 118 | log.warning( |
|
|
119 | 119 | 'Waiting {} sec for a valid file in {}: try {} ...'.format( |
|
|
120 |
self.delay, self.path, nTries + 1), |
|
|
|
120 | self.delay, self.path, nTries + 1), | |
|
|
121 | 121 | self.name) |
|
|
122 | 122 | time.sleep(self.delay) |
|
|
123 | 123 | |
|
|
124 | 124 | if not(fullpath): |
|
|
125 | 125 | raise schainpy.admin.SchainError( |
|
|
126 |
'There isn\'t any valid file in {}'.format(self.path)) |
|
|
|
126 | 'There isn\'t any valid file in {}'.format(self.path)) | |
|
|
127 | 127 | |
|
|
128 | 128 | pathname, filename = os.path.split(fullpath) |
|
|
129 | 129 | self.year = int(filename[1:5]) |
|
|
130 | 130 | self.doy = int(filename[5:8]) |
|
|
131 |
self.set = int(filename[8:11]) - 1 |
|
|
|
131 | self.set = int(filename[8:11]) - 1 | |
|
|
132 | 132 | else: |
|
|
133 | 133 | log.log("Searching files in {}".format(self.path), self.name) |
|
|
134 |
self.filenameList = self.searchFilesOffLine(self.path, self.startDate, |
|
|
|
134 | self.filenameList = self.searchFilesOffLine(self.path, self.startDate, | |
|
|
135 | 135 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt) |
|
|
136 | ||
|
|
136 | ||
|
|
137 | 137 | self.setNextFile() |
|
|
138 | 138 | |
|
|
139 | 139 | return |
|
|
140 | 140 | |
|
|
141 | 141 | def readFirstHeader(self): |
|
|
142 | 142 | '''Read metadata and data''' |
|
|
143 | 143 | |
|
|
144 |
self.__readMetadata() |
|
|
|
144 | self.__readMetadata() | |
|
|
145 | 145 | self.__readData() |
|
|
146 | 146 | self.__setBlockList() |
|
|
147 | ||
|
|
147 | ||
|
|
148 | 148 | if 'type' in self.meta: |
|
|
149 | 149 | self.dataOut = eval(self.meta['type'])() |
|
|
150 | ||
|
|
150 | ||
|
|
151 | 151 | for attr in self.meta: |
|
|
152 | 152 | setattr(self.dataOut, attr, self.meta[attr]) |
|
|
153 | ||
|
|
153 | ||
|
|
154 | 154 | self.blockIndex = 0 |
|
|
155 | ||
|
|
155 | ||
|
|
156 | 156 | return |
|
|
157 | 157 | |
|
|
158 | 158 | def __setBlockList(self): |
|
|
159 | 159 | ''' |
|
|
160 | 160 | Selects the data within the times defined |
|
|
161 | 161 | |
|
|
162 | 162 | self.fp |
|
|
163 | 163 | self.startTime |
|
|
164 | 164 | self.endTime |
|
|
165 | 165 | self.blockList |
|
|
166 | 166 | self.blocksPerFile |
|
|
167 | 167 | |
|
|
168 | 168 | ''' |
|
|
169 | 169 | |
|
|
170 | 170 | startTime = self.startTime |
|
|
171 | 171 | endTime = self.endTime |
|
|
172 | 172 | |
|
|
173 | 173 | thisUtcTime = self.data['utctime'] |
|
|
174 | 174 | self.interval = numpy.min(thisUtcTime[1:] - thisUtcTime[:-1]) |
|
|
175 | 175 | |
|
|
176 | 176 | thisDatetime = datetime.datetime.utcfromtimestamp(thisUtcTime[0]) |
|
|
177 | 177 | |
|
|
178 | 178 | thisDate = thisDatetime.date() |
|
|
179 | 179 | thisTime = thisDatetime.time() |
|
|
180 | 180 | |
|
|
181 | 181 | startUtcTime = (datetime.datetime.combine(thisDate, startTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
182 | 182 | endUtcTime = (datetime.datetime.combine(thisDate, endTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
183 | 183 | |
|
|
184 | 184 | ind = numpy.where(numpy.logical_and(thisUtcTime >= startUtcTime, thisUtcTime < endUtcTime))[0] |
|
|
185 | 185 | |
|
|
186 | 186 | self.blockList = ind |
|
|
187 | 187 | self.blocksPerFile = len(ind) |
|
|
188 | 188 | return |
|
|
189 | 189 | |
|
|
190 | 190 | def __readMetadata(self): |
|
|
191 | 191 | ''' |
|
|
192 | 192 | Reads Metadata |
|
|
193 | 193 | ''' |
|
|
194 | 194 | |
|
|
195 | 195 | meta = {} |
|
|
196 | 196 | |
|
|
197 | 197 | if self.description: |
|
|
198 | 198 | for key, value in self.description['Metadata'].items(): |
|
|
199 | 199 | meta[key] = self.fp[value].value |
|
|
200 | 200 | else: |
|
|
201 | 201 | grp = self.fp['Metadata'] |
|
|
202 | 202 | for name in grp: |
|
|
203 |
meta[name] = grp[name].value |
|
|
|
203 | meta[name] = grp[name].value | |
|
|
204 | 204 | |
|
|
205 | 205 | if self.extras: |
|
|
206 | 206 | for key, value in self.extras.items(): |
|
|
207 | 207 | meta[key] = value |
|
|
208 | 208 | self.meta = meta |
|
|
209 | 209 | |
|
|
210 | 210 | return |
|
|
211 | 211 | |
|
|
212 | 212 | def __readData(self): |
|
|
213 | 213 | |
|
|
214 | 214 | data = {} |
|
|
215 | ||
|
|
215 | ||
|
|
216 | 216 | if self.description: |
|
|
217 | 217 | for key, value in self.description['Data'].items(): |
|
|
218 | 218 | if isinstance(value, str): |
|
|
219 | 219 | if isinstance(self.fp[value], h5py.Dataset): |
|
|
220 | 220 | data[key] = self.fp[value].value |
|
|
221 | 221 | elif isinstance(self.fp[value], h5py.Group): |
|
|
222 | 222 | array = [] |
|
|
223 | 223 | for ch in self.fp[value]: |
|
|
224 | 224 | array.append(self.fp[value][ch].value) |
|
|
225 | 225 | data[key] = numpy.array(array) |
|
|
226 | 226 | elif isinstance(value, list): |
|
|
227 | 227 | array = [] |
|
|
228 | 228 | for ch in value: |
|
|
229 | 229 | array.append(self.fp[ch].value) |
|
|
230 | 230 | data[key] = numpy.array(array) |
|
|
231 | 231 | else: |
|
|
232 | 232 | grp = self.fp['Data'] |
|
|
233 | 233 | for name in grp: |
|
|
234 | 234 | if isinstance(grp[name], h5py.Dataset): |
|
|
235 | 235 | array = grp[name].value |
|
|
236 | 236 | elif isinstance(grp[name], h5py.Group): |
|
|
237 | 237 | array = [] |
|
|
238 | 238 | for ch in grp[name]: |
|
|
239 | 239 | array.append(grp[name][ch].value) |
|
|
240 | 240 | array = numpy.array(array) |
|
|
241 | 241 | else: |
|
|
242 | 242 | log.warning('Unknown type: {}'.format(name)) |
|
|
243 | ||
|
|
243 | ||
|
|
244 | 244 | if name in self.description: |
|
|
245 | 245 | key = self.description[name] |
|
|
246 | 246 | else: |
|
|
247 | 247 | key = name |
|
|
248 | 248 | data[key] = array |
|
|
249 | 249 | |
|
|
250 | 250 | self.data = data |
|
|
251 | 251 | return |
|
|
252 | ||
|
|
252 | ||
|
|
253 | 253 | def getData(self): |
|
|
254 | 254 | |
|
|
255 | 255 | for attr in self.data: |
|
|
256 | 256 | if self.data[attr].ndim == 1: |
|
|
257 | 257 | setattr(self.dataOut, attr, self.data[attr][self.blockIndex]) |
|
|
258 | 258 | else: |
|
|
259 | 259 | setattr(self.dataOut, attr, self.data[attr][:, self.blockIndex]) |
|
|
260 | 260 | |
|
|
261 | 261 | self.dataOut.flagNoData = False |
|
|
262 | 262 | self.blockIndex += 1 |
|
|
263 | 263 | |
|
|
264 | 264 | log.log("Block No. {}/{} -> {}".format( |
|
|
265 | 265 | self.blockIndex, |
|
|
266 | 266 | self.blocksPerFile, |
|
|
267 | 267 | self.dataOut.datatime.ctime()), self.name) |
|
|
268 | 268 | |
|
|
269 | 269 | return |
|
|
270 | 270 | |
|
|
271 | 271 | def run(self, **kwargs): |
|
|
272 | 272 | |
|
|
273 | 273 | if not(self.isConfig): |
|
|
274 | 274 | self.setup(**kwargs) |
|
|
275 | 275 | self.isConfig = True |
|
|
276 | 276 | |
|
|
277 | 277 | if self.blockIndex == self.blocksPerFile: |
|
|
278 | 278 | self.setNextFile() |
|
|
279 | 279 | |
|
|
280 | 280 | self.getData() |
|
|
281 | 281 | |
|
|
282 | 282 | return |
|
|
283 | 283 | |
|
|
284 | 284 | @MPDecorator |
|
|
285 | 285 | class HDFWriter(Operation): |
|
|
286 | 286 | """Operation to write HDF5 files. |
|
|
287 | 287 | |
|
|
288 | 288 | The HDF5 file contains by default two groups Data and Metadata where |
|
|
289 | 289 | you can save any `dataOut` attribute specified by `dataList` and `metadataList` |
|
|
290 | 290 | parameters, data attributes are normaly time dependent where the metadata |
|
|
291 |
are not. |
|
|
|
292 |
It is possible to customize the structure of the HDF5 file with the |
|
|
|
291 | are not. | |
|
|
292 | It is possible to customize the structure of the HDF5 file with the | |
|
|
293 | 293 | optional description parameter see the examples. |
|
|
294 | 294 | |
|
|
295 | 295 | Parameters: |
|
|
296 | 296 | ----------- |
|
|
297 | 297 | path : str |
|
|
298 | 298 | Path where files will be saved. |
|
|
299 | 299 | blocksPerFile : int |
|
|
300 | 300 | Number of blocks per file |
|
|
301 | 301 | metadataList : list |
|
|
302 | 302 | List of the dataOut attributes that will be saved as metadata |
|
|
303 | 303 | dataList : int |
|
|
304 | 304 | List of the dataOut attributes that will be saved as data |
|
|
305 | 305 | setType : bool |
|
|
306 | 306 | If True the name of the files corresponds to the timestamp of the data |
|
|
307 | 307 | description : dict, optional |
|
|
308 | 308 | Dictionary with the desired description of the HDF5 file |
|
|
309 | ||
|
|
309 | ||
|
|
310 | 310 | Examples |
|
|
311 | 311 | -------- |
|
|
312 | ||
|
|
312 | ||
|
|
313 | 313 | desc = { |
|
|
314 | 314 | 'data_output': {'winds': ['z', 'w', 'v']}, |
|
|
315 | 315 | 'utctime': 'timestamps', |
|
|
316 | 316 | 'heightList': 'heights' |
|
|
317 | 317 | } |
|
|
318 | 318 | desc = { |
|
|
319 | 319 | 'data_output': ['z', 'w', 'v'], |
|
|
320 | 320 | 'utctime': 'timestamps', |
|
|
321 | 321 | 'heightList': 'heights' |
|
|
322 | 322 | } |
|
|
323 | 323 | desc = { |
|
|
324 | 324 | 'Data': { |
|
|
325 | 325 | 'data_output': 'winds', |
|
|
326 | 326 | 'utctime': 'timestamps' |
|
|
327 | 327 | }, |
|
|
328 | 328 | 'Metadata': { |
|
|
329 | 329 | 'heightList': 'heights' |
|
|
330 | 330 | } |
|
|
331 | 331 | } |
|
|
332 | ||
|
|
332 | ||
|
|
333 | 333 | writer = proc_unit.addOperation(name='HDFWriter') |
|
|
334 | 334 | writer.addParameter(name='path', value='/path/to/file') |
|
|
335 | 335 | writer.addParameter(name='blocksPerFile', value='32') |
|
|
336 | 336 | writer.addParameter(name='metadataList', value='heightList,timeZone') |
|
|
337 | 337 | writer.addParameter(name='dataList',value='data_output,utctime') |
|
|
338 | 338 | # writer.addParameter(name='description',value=json.dumps(desc)) |
|
|
339 | 339 | |
|
|
340 | 340 | """ |
|
|
341 | 341 | |
|
|
342 | 342 | ext = ".hdf5" |
|
|
343 | 343 | optchar = "D" |
|
|
344 | 344 | filename = None |
|
|
345 | 345 | path = None |
|
|
346 | 346 | setFile = None |
|
|
347 | 347 | fp = None |
|
|
348 | 348 | firsttime = True |
|
|
349 | 349 | #Configurations |
|
|
350 | 350 | blocksPerFile = None |
|
|
351 | 351 | blockIndex = None |
|
|
352 | 352 | dataOut = None |
|
|
353 | 353 | #Data Arrays |
|
|
354 | 354 | dataList = None |
|
|
355 | 355 | metadataList = None |
|
|
356 | 356 | currentDay = None |
|
|
357 | 357 | lastTime = None |
|
|
358 | 358 | |
|
|
359 | 359 | def __init__(self): |
|
|
360 | ||
|
|
360 | ||
|
|
361 | 361 | Operation.__init__(self) |
|
|
362 | 362 | return |
|
|
363 | 363 | |
|
|
364 | 364 | def setup(self, path=None, blocksPerFile=10, metadataList=None, dataList=None, setType=None, description=None): |
|
|
365 | 365 | self.path = path |
|
|
366 | 366 | self.blocksPerFile = blocksPerFile |
|
|
367 | 367 | self.metadataList = metadataList |
|
|
368 | 368 | self.dataList = [s.strip() for s in dataList] |
|
|
369 | 369 | self.setType = setType |
|
|
370 | 370 | self.description = description |
|
|
371 | 371 | |
|
|
372 | 372 | if self.metadataList is None: |
|
|
373 | 373 | self.metadataList = self.dataOut.metadata_list |
|
|
374 | 374 | |
|
|
375 | 375 | tableList = [] |
|
|
376 | 376 | dsList = [] |
|
|
377 | 377 | |
|
|
378 | 378 | for i in range(len(self.dataList)): |
|
|
379 | 379 | dsDict = {} |
|
|
380 | 380 | if hasattr(self.dataOut, self.dataList[i]): |
|
|
381 | 381 | dataAux = getattr(self.dataOut, self.dataList[i]) |
|
|
382 | 382 | dsDict['variable'] = self.dataList[i] |
|
|
383 | 383 | else: |
|
|
384 | 384 | log.warning('Attribute {} not found in dataOut', self.name) |
|
|
385 | 385 | continue |
|
|
386 | 386 | |
|
|
387 | 387 | if dataAux is None: |
|
|
388 | 388 | continue |
|
|
389 | 389 | elif isinstance(dataAux, (int, float, numpy.integer, numpy.float)): |
|
|
390 | 390 | dsDict['nDim'] = 0 |
|
|
391 | 391 | else: |
|
|
392 | 392 | dsDict['nDim'] = len(dataAux.shape) |
|
|
393 | 393 | dsDict['shape'] = dataAux.shape |
|
|
394 | 394 | dsDict['dsNumber'] = dataAux.shape[0] |
|
|
395 | 395 | dsDict['dtype'] = dataAux.dtype |
|
|
396 | ||
|
|
396 | ||
|
|
397 | 397 | dsList.append(dsDict) |
|
|
398 | 398 | |
|
|
399 | 399 | self.dsList = dsList |
|
|
400 | 400 | self.currentDay = self.dataOut.datatime.date() |
|
|
401 | 401 | |
|
|
402 | 402 | def timeFlag(self): |
|
|
403 | 403 | currentTime = self.dataOut.utctime |
|
|
404 | 404 | timeTuple = time.localtime(currentTime) |
|
|
405 | 405 | dataDay = timeTuple.tm_yday |
|
|
406 | 406 | |
|
|
407 | 407 | if self.lastTime is None: |
|
|
408 | 408 | self.lastTime = currentTime |
|
|
409 | 409 | self.currentDay = dataDay |
|
|
410 | 410 | return False |
|
|
411 | ||
|
|
411 | ||
|
|
412 | 412 | timeDiff = currentTime - self.lastTime |
|
|
413 | 413 | |
|
|
414 | 414 | #Si el dia es diferente o si la diferencia entre un dato y otro supera la hora |
|
|
415 | 415 | if dataDay != self.currentDay: |
|
|
416 | 416 | self.currentDay = dataDay |
|
|
417 | 417 | return True |
|
|
418 | 418 | elif timeDiff > 3*60*60: |
|
|
419 | 419 | self.lastTime = currentTime |
|
|
420 | 420 | return True |
|
|
421 | 421 | else: |
|
|
422 | 422 | self.lastTime = currentTime |
|
|
423 | 423 | return False |
|
|
424 | 424 | |
|
|
425 | 425 | def run(self, dataOut, path, blocksPerFile=10, metadataList=None, |
|
|
426 | 426 | dataList=[], setType=None, description={}): |
|
|
427 | ||
|
|
427 | print("hdf",dataOut.flagNoData) | |
|
|
428 | print(dataOut.datatime.ctime()) | |
|
|
428 | 429 | self.dataOut = dataOut |
|
|
429 | 430 | if not(self.isConfig): |
|
|
430 |
self.setup(path=path, blocksPerFile=blocksPerFile, |
|
|
|
431 | self.setup(path=path, blocksPerFile=blocksPerFile, | |
|
|
431 | 432 | metadataList=metadataList, dataList=dataList, |
|
|
432 | 433 | setType=setType, description=description) |
|
|
433 | 434 | |
|
|
434 | 435 | self.isConfig = True |
|
|
435 | 436 | self.setNextFile() |
|
|
436 | 437 | |
|
|
437 | 438 | self.putData() |
|
|
438 | 439 | return |
|
|
439 | ||
|
|
440 | ||
|
|
440 | 441 | def setNextFile(self): |
|
|
441 | ||
|
|
442 | ||
|
|
442 | 443 | ext = self.ext |
|
|
443 | 444 | path = self.path |
|
|
444 | 445 | setFile = self.setFile |
|
|
445 | 446 | |
|
|
446 | 447 | timeTuple = time.localtime(self.dataOut.utctime) |
|
|
447 | 448 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
448 | 449 | fullpath = os.path.join(path, subfolder) |
|
|
449 | 450 | |
|
|
450 | 451 | if os.path.exists(fullpath): |
|
|
451 | 452 | filesList = os.listdir(fullpath) |
|
|
452 | 453 | filesList = [k for k in filesList if k.startswith(self.optchar)] |
|
|
453 | 454 | if len( filesList ) > 0: |
|
|
454 | 455 | filesList = sorted(filesList, key=str.lower) |
|
|
455 | 456 | filen = filesList[-1] |
|
|
456 | 457 | # el filename debera tener el siguiente formato |
|
|
457 | 458 | # 0 1234 567 89A BCDE (hex) |
|
|
458 | 459 | # x YYYY DDD SSS .ext |
|
|
459 | 460 | if isNumber(filen[8:11]): |
|
|
460 | 461 | setFile = int(filen[8:11]) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
461 | 462 | else: |
|
|
462 | 463 | setFile = -1 |
|
|
463 | 464 | else: |
|
|
464 | 465 | setFile = -1 #inicializo mi contador de seteo |
|
|
465 | 466 | else: |
|
|
466 | 467 | os.makedirs(fullpath) |
|
|
467 | 468 | setFile = -1 #inicializo mi contador de seteo |
|
|
468 | 469 | |
|
|
469 | 470 | if self.setType is None: |
|
|
470 | 471 | setFile += 1 |
|
|
471 | 472 | file = '%s%4.4d%3.3d%03d%s' % (self.optchar, |
|
|
472 | 473 | timeTuple.tm_year, |
|
|
473 | 474 | timeTuple.tm_yday, |
|
|
474 | 475 | setFile, |
|
|
475 | 476 | ext ) |
|
|
476 | 477 | else: |
|
|
477 | 478 | setFile = timeTuple.tm_hour*60+timeTuple.tm_min |
|
|
478 | 479 | file = '%s%4.4d%3.3d%04d%s' % (self.optchar, |
|
|
479 | 480 | timeTuple.tm_year, |
|
|
480 | 481 | timeTuple.tm_yday, |
|
|
481 | 482 | setFile, |
|
|
482 | 483 | ext ) |
|
|
483 | 484 | |
|
|
484 | 485 | self.filename = os.path.join( path, subfolder, file ) |
|
|
485 | 486 | |
|
|
486 | 487 | #Setting HDF5 File |
|
|
487 | 488 | self.fp = h5py.File(self.filename, 'w') |
|
|
488 | 489 | #write metadata |
|
|
489 | 490 | self.writeMetadata(self.fp) |
|
|
490 | 491 | #Write data |
|
|
491 | 492 | self.writeData(self.fp) |
|
|
492 | 493 | |
|
|
493 | 494 | def getLabel(self, name, x=None): |
|
|
494 | 495 | |
|
|
495 | 496 | if x is None: |
|
|
496 | 497 | if 'Data' in self.description: |
|
|
497 | 498 | data = self.description['Data'] |
|
|
498 | 499 | if 'Metadata' in self.description: |
|
|
499 | 500 | data.update(self.description['Metadata']) |
|
|
500 | 501 | else: |
|
|
501 | 502 | data = self.description |
|
|
502 | 503 | if name in data: |
|
|
503 | 504 | if isinstance(data[name], str): |
|
|
504 | 505 | return data[name] |
|
|
505 | 506 | elif isinstance(data[name], list): |
|
|
506 | 507 | return None |
|
|
507 | 508 | elif isinstance(data[name], dict): |
|
|
508 | 509 | for key, value in data[name].items(): |
|
|
509 | 510 | return key |
|
|
510 | 511 | return name |
|
|
511 | 512 | else: |
|
|
512 | 513 | if 'Metadata' in self.description: |
|
|
513 | 514 | meta = self.description['Metadata'] |
|
|
514 | 515 | else: |
|
|
515 | 516 | meta = self.description |
|
|
516 | 517 | if name in meta: |
|
|
517 | 518 | if isinstance(meta[name], list): |
|
|
518 | 519 | return meta[name][x] |
|
|
519 | 520 | elif isinstance(meta[name], dict): |
|
|
520 | 521 | for key, value in meta[name].items(): |
|
|
521 | 522 | return value[x] |
|
|
522 | 523 | if 'cspc' in name: |
|
|
523 | 524 | return 'pair{:02d}'.format(x) |
|
|
524 | 525 | else: |
|
|
525 | 526 | return 'channel{:02d}'.format(x) |
|
|
526 | ||
|
|
527 | ||
|
|
527 | 528 | def writeMetadata(self, fp): |
|
|
528 | 529 | |
|
|
529 | 530 | if self.description: |
|
|
530 | 531 | if 'Metadata' in self.description: |
|
|
531 | 532 | grp = fp.create_group('Metadata') |
|
|
532 | 533 | else: |
|
|
533 | 534 | grp = fp |
|
|
534 | 535 | else: |
|
|
535 | 536 | grp = fp.create_group('Metadata') |
|
|
536 | 537 | |
|
|
537 | 538 | for i in range(len(self.metadataList)): |
|
|
538 | 539 | if not hasattr(self.dataOut, self.metadataList[i]): |
|
|
539 | 540 | log.warning('Metadata: `{}` not found'.format(self.metadataList[i]), self.name) |
|
|
540 | 541 | continue |
|
|
541 | 542 | value = getattr(self.dataOut, self.metadataList[i]) |
|
|
542 | 543 | if isinstance(value, bool): |
|
|
543 | 544 | if value is True: |
|
|
544 | 545 | value = 1 |
|
|
545 | 546 | else: |
|
|
546 | 547 | value = 0 |
|
|
547 | 548 | grp.create_dataset(self.getLabel(self.metadataList[i]), data=value) |
|
|
548 | 549 | return |
|
|
549 | 550 | |
|
|
550 | 551 | def writeData(self, fp): |
|
|
551 | ||
|
|
552 | ||
|
|
552 | 553 | if self.description: |
|
|
553 | 554 | if 'Data' in self.description: |
|
|
554 | 555 | grp = fp.create_group('Data') |
|
|
555 | 556 | else: |
|
|
556 | 557 | grp = fp |
|
|
557 | 558 | else: |
|
|
558 | 559 | grp = fp.create_group('Data') |
|
|
559 | 560 | |
|
|
560 | 561 | dtsets = [] |
|
|
561 | 562 | data = [] |
|
|
562 | ||
|
|
563 | ||
|
|
563 | 564 | for dsInfo in self.dsList: |
|
|
564 | 565 | if dsInfo['nDim'] == 0: |
|
|
565 | 566 | ds = grp.create_dataset( |
|
|
566 |
self.getLabel(dsInfo['variable']), |
|
|
|
567 | self.getLabel(dsInfo['variable']), | |
|
|
567 | 568 | (self.blocksPerFile, ), |
|
|
568 |
chunks=True, |
|
|
|
569 | chunks=True, | |
|
|
569 | 570 | dtype=numpy.float64) |
|
|
570 | 571 | dtsets.append(ds) |
|
|
571 | 572 | data.append((dsInfo['variable'], -1)) |
|
|
572 | 573 | else: |
|
|
573 | 574 | label = self.getLabel(dsInfo['variable']) |
|
|
574 | 575 | if label is not None: |
|
|
575 | 576 | sgrp = grp.create_group(label) |
|
|
576 | 577 | else: |
|
|
577 | 578 | sgrp = grp |
|
|
578 | 579 | for i in range(dsInfo['dsNumber']): |
|
|
579 | 580 | ds = sgrp.create_dataset( |
|
|
580 |
self.getLabel(dsInfo['variable'], i), |
|
|
|
581 | self.getLabel(dsInfo['variable'], i), | |
|
|
581 | 582 | (self.blocksPerFile, ) + dsInfo['shape'][1:], |
|
|
582 | 583 | chunks=True, |
|
|
583 | 584 | dtype=dsInfo['dtype']) |
|
|
584 | 585 | dtsets.append(ds) |
|
|
585 | 586 | data.append((dsInfo['variable'], i)) |
|
|
586 | 587 | fp.flush() |
|
|
587 | 588 | |
|
|
588 | 589 | log.log('Creating file: {}'.format(fp.filename), self.name) |
|
|
589 | ||
|
|
590 | ||
|
|
590 | 591 | self.ds = dtsets |
|
|
591 | 592 | self.data = data |
|
|
592 | 593 | self.firsttime = True |
|
|
593 | 594 | self.blockIndex = 0 |
|
|
594 | 595 | return |
|
|
595 | 596 | |
|
|
596 | 597 | def putData(self): |
|
|
597 | 598 | |
|
|
598 | 599 | if (self.blockIndex == self.blocksPerFile) or self.timeFlag(): |
|
|
599 | 600 | self.closeFile() |
|
|
600 | 601 | self.setNextFile() |
|
|
601 | 602 | |
|
|
602 | 603 | for i, ds in enumerate(self.ds): |
|
|
603 | 604 | attr, ch = self.data[i] |
|
|
604 | 605 | if ch == -1: |
|
|
605 | 606 | ds[self.blockIndex] = getattr(self.dataOut, attr) |
|
|
606 | 607 | else: |
|
|
607 | 608 | ds[self.blockIndex] = getattr(self.dataOut, attr)[ch] |
|
|
608 | 609 | |
|
|
609 | 610 | self.fp.flush() |
|
|
610 | 611 | self.blockIndex += 1 |
|
|
611 | 612 | log.log('Block No. {}/{}'.format(self.blockIndex, self.blocksPerFile), self.name) |
|
|
612 | 613 | |
|
|
613 | 614 | return |
|
|
614 | 615 | |
|
|
615 | 616 | def closeFile(self): |
|
|
616 | 617 | |
|
|
617 | 618 | if self.blockIndex != self.blocksPerFile: |
|
|
618 | 619 | for ds in self.ds: |
|
|
619 | 620 | ds.resize(self.blockIndex, axis=0) |
|
|
620 | 621 | |
|
|
621 | 622 | self.fp.flush() |
|
|
622 | 623 | self.fp.close() |
|
|
623 | 624 | |
|
|
624 | 625 | def close(self): |
|
|
625 | 626 | |
|
|
626 | 627 | self.closeFile() |
| @@ -1,676 +1,692 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import numpy |
|
|
8 | 8 | |
|
|
9 | 9 | from .jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
|
|
10 | 10 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
|
11 | 11 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
12 | 12 | from schainpy.model.data.jrodata import Voltage |
|
|
13 | 13 | |
|
|
14 | 14 | |
|
|
15 | 15 | class VoltageReader(JRODataReader, ProcessingUnit): |
|
|
16 | 16 | """ |
|
|
17 | 17 | Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura |
|
|
18 | 18 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones: |
|
|
19 | 19 | perfiles*alturas*canales) son almacenados en la variable "buffer". |
|
|
20 | 20 | |
|
|
21 | 21 | perfiles * alturas * canales |
|
|
22 | 22 | |
|
|
23 | 23 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
24 | 24 | RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la |
|
|
25 | 25 | cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de |
|
|
26 | 26 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
27 | 27 | |
|
|
28 | 28 | Example: |
|
|
29 | 29 | |
|
|
30 | 30 | dpath = "/home/myuser/data" |
|
|
31 | 31 | |
|
|
32 | 32 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
33 | 33 | |
|
|
34 | 34 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
35 | 35 | |
|
|
36 | 36 | readerObj = VoltageReader() |
|
|
37 | 37 | |
|
|
38 | 38 | readerObj.setup(dpath, startTime, endTime) |
|
|
39 | 39 | |
|
|
40 | 40 | while(True): |
|
|
41 | 41 | |
|
|
42 | 42 | #to get one profile |
|
|
43 | 43 | profile = readerObj.getData() |
|
|
44 | 44 | |
|
|
45 | 45 | #print the profile |
|
|
46 | 46 | print profile |
|
|
47 | 47 | |
|
|
48 | 48 | #If you want to see all datablock |
|
|
49 | 49 | print readerObj.datablock |
|
|
50 | 50 | |
|
|
51 | 51 | if readerObj.flagNoMoreFiles: |
|
|
52 | 52 | break |
|
|
53 | 53 | |
|
|
54 | 54 | """ |
|
|
55 | 55 | |
|
|
56 | 56 | def __init__(self): |
|
|
57 | 57 | """ |
|
|
58 | 58 | Inicializador de la clase VoltageReader para la lectura de datos de voltage. |
|
|
59 | 59 | |
|
|
60 | 60 | Input: |
|
|
61 | 61 | dataOut : Objeto de la clase Voltage. Este objeto sera utilizado para |
|
|
62 | 62 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
63 | 63 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
64 | 64 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
65 | 65 | bloque de datos. |
|
|
66 | 66 | Si este parametro no es pasado se creara uno internamente. |
|
|
67 | 67 | |
|
|
68 | 68 | Variables afectadas: |
|
|
69 | 69 | self.dataOut |
|
|
70 | 70 | |
|
|
71 | 71 | Return: |
|
|
72 | 72 | None |
|
|
73 | 73 | """ |
|
|
74 | 74 | |
|
|
75 | 75 | ProcessingUnit.__init__(self) |
|
|
76 | ||
|
|
76 | ||
|
|
77 | 77 | self.ext = ".r" |
|
|
78 | 78 | self.optchar = "D" |
|
|
79 | 79 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
80 | 80 | self.systemHeaderObj = SystemHeader() |
|
|
81 | 81 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
82 | ||
|
|
82 | 83 | self.processingHeaderObj = ProcessingHeader() |
|
|
83 | 84 | self.lastUTTime = 0 |
|
|
84 |
self.profileIndex = 2**32 - 1 |
|
|
|
85 | self.profileIndex = 2**32 - 1 | |
|
|
85 | 86 | self.dataOut = Voltage() |
|
|
86 | 87 | self.selBlocksize = None |
|
|
87 | 88 | self.selBlocktime = None |
|
|
88 | ||
|
|
89 | ##print("1--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
89 | 90 | def createObjByDefault(self): |
|
|
90 | ||
|
|
91 | ##print("2--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
91 | 92 | dataObj = Voltage() |
|
|
92 | 93 | |
|
|
93 | 94 | return dataObj |
|
|
94 | 95 | |
|
|
95 | 96 | def __hasNotDataInBuffer(self): |
|
|
96 | ||
|
|
97 | ##print("3--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
97 | 98 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock * self.nTxs: |
|
|
98 | 99 | return 1 |
|
|
99 | 100 | |
|
|
100 | 101 | return 0 |
|
|
101 | 102 | |
|
|
102 | 103 | def getBlockDimension(self): |
|
|
103 | 104 | """ |
|
|
104 | 105 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
105 | 106 | |
|
|
106 | 107 | Affected: |
|
|
107 | 108 | self.blocksize |
|
|
108 | 109 | |
|
|
109 | 110 | Return: |
|
|
110 | 111 | None |
|
|
111 | 112 | """ |
|
|
113 | ##print("4--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
112 | 114 | pts2read = self.processingHeaderObj.profilesPerBlock * \ |
|
|
113 | 115 | self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels |
|
|
114 | 116 | self.blocksize = pts2read |
|
|
115 | 117 | |
|
|
116 | 118 | def readBlock(self): |
|
|
119 | ||
|
|
117 | 120 | """ |
|
|
118 | 121 | readBlock lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
119 | 122 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
120 | 123 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
121 | 124 | es seteado a 0 |
|
|
122 | 125 | |
|
|
123 | 126 | Inputs: |
|
|
124 | 127 | None |
|
|
125 | 128 | |
|
|
126 | 129 | Return: |
|
|
127 | 130 | None |
|
|
128 | 131 | |
|
|
129 | 132 | Affected: |
|
|
130 | 133 | self.profileIndex |
|
|
131 | 134 | self.datablock |
|
|
132 | 135 | self.flagIsNewFile |
|
|
133 | 136 | self.flagIsNewBlock |
|
|
134 | 137 | self.nTotalBlocks |
|
|
135 | 138 | |
|
|
136 |
Exceptions: |
|
|
|
139 | Exceptions: | |
|
|
137 | 140 | Si un bloque leido no es un bloque valido |
|
|
138 | 141 | """ |
|
|
139 | ||
|
|
142 | ##print("5--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
140 | 143 | # if self.server is not None: |
|
|
141 | 144 | # self.zBlock = self.receiver.recv() |
|
|
142 | 145 | # self.zHeader = self.zBlock[:24] |
|
|
143 | 146 | # self.zDataBlock = self.zBlock[24:] |
|
|
144 | 147 | # junk = numpy.fromstring(self.zDataBlock, numpy.dtype([('real','<i4'),('imag','<i4')])) |
|
|
145 | 148 | # self.processingHeaderObj.profilesPerBlock = 240 |
|
|
146 | 149 | # self.processingHeaderObj.nHeights = 248 |
|
|
147 | 150 | # self.systemHeaderObj.nChannels |
|
|
148 | 151 | # else: |
|
|
149 | 152 | current_pointer_location = self.fp.tell() |
|
|
150 | 153 | junk = numpy.fromfile(self.fp, self.dtype, self.blocksize) |
|
|
151 | 154 | |
|
|
152 | 155 | try: |
|
|
153 | 156 | junk = junk.reshape((self.processingHeaderObj.profilesPerBlock, |
|
|
154 | 157 | self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels)) |
|
|
155 | 158 | except: |
|
|
156 | 159 | # print "The read block (%3d) has not enough data" %self.nReadBlocks |
|
|
157 | 160 | |
|
|
158 | 161 | if self.waitDataBlock(pointer_location=current_pointer_location): |
|
|
159 | 162 | junk = numpy.fromfile(self.fp, self.dtype, self.blocksize) |
|
|
160 | 163 | junk = junk.reshape((self.processingHeaderObj.profilesPerBlock, |
|
|
161 | 164 | self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels)) |
|
|
162 | 165 | # return 0 |
|
|
163 | 166 | |
|
|
164 | 167 | # Dimensions : nChannels, nProfiles, nSamples |
|
|
165 | 168 | |
|
|
166 | 169 | junk = numpy.transpose(junk, (2, 0, 1)) |
|
|
167 | 170 | self.datablock = junk['real'] + junk['imag'] * 1j |
|
|
168 | 171 | |
|
|
169 | 172 | self.profileIndex = 0 |
|
|
170 | 173 | |
|
|
171 | 174 | self.flagIsNewFile = 0 |
|
|
172 | 175 | self.flagIsNewBlock = 1 |
|
|
173 | 176 | |
|
|
174 | 177 | self.nTotalBlocks += 1 |
|
|
175 | 178 | self.nReadBlocks += 1 |
|
|
176 | 179 | |
|
|
177 | 180 | return 1 |
|
|
178 | 181 | |
|
|
179 | 182 | def getFirstHeader(self): |
|
|
183 | ##print("6--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
180 | 184 | |
|
|
181 | 185 | self.getBasicHeader() |
|
|
182 | 186 | |
|
|
183 | 187 | self.dataOut.processingHeaderObj = self.processingHeaderObj.copy() |
|
|
184 | 188 | |
|
|
185 | 189 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
186 | 190 | |
|
|
187 | 191 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
188 | 192 | |
|
|
193 | #self.dataOut.ippSeconds_general=self.radarControllerHeaderObj.ippSeconds | |
|
|
194 | #print(self.nTxs) | |
|
|
189 | 195 | if self.nTxs > 1: |
|
|
196 | #print(self.radarControllerHeaderObj.ippSeconds) | |
|
|
190 | 197 | self.dataOut.radarControllerHeaderObj.ippSeconds = self.radarControllerHeaderObj.ippSeconds / self.nTxs |
|
|
198 | #print(self.radarControllerHeaderObj.ippSeconds) | |
|
|
191 | 199 | # Time interval and code are propierties of dataOut. Its value depends of radarControllerHeaderObj. |
|
|
192 | 200 | |
|
|
193 | 201 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt |
|
|
194 | 202 | # |
|
|
195 | 203 | # if self.radarControllerHeaderObj.code is not None: |
|
|
196 | 204 | # |
|
|
197 | 205 | # self.dataOut.nCode = self.radarControllerHeaderObj.nCode |
|
|
198 | 206 | # |
|
|
199 | 207 | # self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud |
|
|
200 | 208 | # |
|
|
201 | 209 | # self.dataOut.code = self.radarControllerHeaderObj.code |
|
|
202 | 210 | |
|
|
203 | 211 | self.dataOut.dtype = self.dtype |
|
|
204 | 212 | |
|
|
205 | 213 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
206 | 214 | |
|
|
207 | 215 | self.dataOut.heightList = numpy.arange( |
|
|
208 | 216 | self.processingHeaderObj.nHeights) * self.processingHeaderObj.deltaHeight + self.processingHeaderObj.firstHeight |
|
|
209 | 217 | |
|
|
210 | 218 | self.dataOut.channelList = list(range(self.systemHeaderObj.nChannels)) |
|
|
211 | 219 | |
|
|
212 | 220 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
213 | 221 | |
|
|
214 | 222 | # asumo q la data no esta decodificada |
|
|
215 | 223 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode |
|
|
216 | 224 | |
|
|
217 | 225 | # asumo q la data no esta sin flip |
|
|
218 | 226 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip |
|
|
219 | 227 | |
|
|
220 | 228 | self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft |
|
|
221 | 229 | |
|
|
222 | 230 | def reshapeData(self): |
|
|
223 | ||
|
|
231 | ##print("7--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
224 | 232 | if self.nTxs < 0: |
|
|
225 | 233 | return |
|
|
226 | 234 | |
|
|
227 | 235 | if self.nTxs == 1: |
|
|
228 | 236 | return |
|
|
229 | 237 | |
|
|
230 | 238 | if self.nTxs < 1 and self.processingHeaderObj.profilesPerBlock % (1. / self.nTxs) != 0: |
|
|
231 | 239 | raise ValueError("1./nTxs (=%f), should be a multiple of nProfiles (=%d)" % ( |
|
|
232 | 240 | 1. / self.nTxs, self.processingHeaderObj.profilesPerBlock)) |
|
|
233 | 241 | |
|
|
234 | 242 | if self.nTxs > 1 and self.processingHeaderObj.nHeights % self.nTxs != 0: |
|
|
235 | 243 | raise ValueError("nTxs (=%d), should be a multiple of nHeights (=%d)" % ( |
|
|
236 | 244 | self.nTxs, self.processingHeaderObj.nHeights)) |
|
|
237 | 245 | |
|
|
238 | 246 | self.datablock = self.datablock.reshape( |
|
|
239 | 247 | (self.systemHeaderObj.nChannels, self.processingHeaderObj.profilesPerBlock * self.nTxs, int(self.processingHeaderObj.nHeights / self.nTxs))) |
|
|
240 | 248 | |
|
|
241 | 249 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock * self.nTxs |
|
|
242 | 250 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.nHeights / self.nTxs) * \ |
|
|
243 | 251 | self.processingHeaderObj.deltaHeight + self.processingHeaderObj.firstHeight |
|
|
244 | 252 | self.dataOut.radarControllerHeaderObj.ippSeconds = self.radarControllerHeaderObj.ippSeconds / self.nTxs |
|
|
245 | 253 | |
|
|
246 | 254 | return |
|
|
247 | 255 | |
|
|
248 | 256 | def readFirstHeaderFromServer(self): |
|
|
249 | 257 | |
|
|
258 | ##print("8--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
250 | 259 | self.getFirstHeader() |
|
|
251 | 260 | |
|
|
252 | 261 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
253 | 262 | |
|
|
254 | 263 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & |
|
|
255 | 264 | PROCFLAG.DATATYPE_MASK)) - numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
256 | 265 | if datatype == 0: |
|
|
257 | 266 | datatype_str = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
258 | 267 | elif datatype == 1: |
|
|
259 | 268 | datatype_str = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
260 | 269 | elif datatype == 2: |
|
|
261 | 270 | datatype_str = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
262 | 271 | elif datatype == 3: |
|
|
263 | 272 | datatype_str = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
264 | 273 | elif datatype == 4: |
|
|
265 | 274 | datatype_str = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
266 | 275 | elif datatype == 5: |
|
|
267 | 276 | datatype_str = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
268 | 277 | else: |
|
|
269 | 278 | raise ValueError('Data type was not defined') |
|
|
270 | 279 | |
|
|
271 | 280 | self.dtype = datatype_str |
|
|
272 | 281 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
273 | 282 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + \ |
|
|
274 | 283 | self.firstHeaderSize + self.basicHeaderSize * \ |
|
|
275 | 284 | (self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
276 | 285 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
277 | 286 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
278 | 287 | self.getBlockDimension() |
|
|
279 | 288 | |
|
|
280 | 289 | def getFromServer(self): |
|
|
290 | ##print("9--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
281 | 291 | self.flagDiscontinuousBlock = 0 |
|
|
282 | 292 | self.profileIndex = 0 |
|
|
283 | 293 | self.flagIsNewBlock = 1 |
|
|
284 | 294 | self.dataOut.flagNoData = False |
|
|
285 | 295 | self.nTotalBlocks += 1 |
|
|
286 | 296 | self.nReadBlocks += 1 |
|
|
287 | 297 | self.blockPointer = 0 |
|
|
288 | 298 | |
|
|
289 | 299 | block = self.receiver.recv() |
|
|
290 | 300 | |
|
|
291 | 301 | self.basicHeaderObj.read(block[self.blockPointer:]) |
|
|
292 | 302 | self.blockPointer += self.basicHeaderObj.length |
|
|
293 | 303 | self.systemHeaderObj.read(block[self.blockPointer:]) |
|
|
294 | 304 | self.blockPointer += self.systemHeaderObj.length |
|
|
295 | 305 | self.radarControllerHeaderObj.read(block[self.blockPointer:]) |
|
|
296 | 306 | self.blockPointer += self.radarControllerHeaderObj.length |
|
|
297 | 307 | self.processingHeaderObj.read(block[self.blockPointer:]) |
|
|
298 | 308 | self.blockPointer += self.processingHeaderObj.length |
|
|
299 | 309 | self.readFirstHeaderFromServer() |
|
|
300 | 310 | |
|
|
301 | 311 | timestamp = self.basicHeaderObj.get_datatime() |
|
|
302 | 312 | print('[Reading] - Block {} - {}'.format(self.nTotalBlocks, timestamp)) |
|
|
303 | 313 | current_pointer_location = self.blockPointer |
|
|
304 | 314 | junk = numpy.fromstring( |
|
|
305 | 315 | block[self.blockPointer:], self.dtype, self.blocksize) |
|
|
306 | 316 | |
|
|
307 | 317 | try: |
|
|
308 | 318 | junk = junk.reshape((self.processingHeaderObj.profilesPerBlock, |
|
|
309 | 319 | self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels)) |
|
|
310 | 320 | except: |
|
|
311 | 321 | # print "The read block (%3d) has not enough data" %self.nReadBlocks |
|
|
312 | 322 | if self.waitDataBlock(pointer_location=current_pointer_location): |
|
|
313 | 323 | junk = numpy.fromstring( |
|
|
314 | 324 | block[self.blockPointer:], self.dtype, self.blocksize) |
|
|
315 | 325 | junk = junk.reshape((self.processingHeaderObj.profilesPerBlock, |
|
|
316 | 326 | self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels)) |
|
|
317 | 327 | # return 0 |
|
|
318 | 328 | |
|
|
319 | 329 | # Dimensions : nChannels, nProfiles, nSamples |
|
|
320 | 330 | |
|
|
321 | 331 | junk = numpy.transpose(junk, (2, 0, 1)) |
|
|
322 | 332 | self.datablock = junk['real'] + junk['imag'] * 1j |
|
|
323 | 333 | self.profileIndex = 0 |
|
|
324 | 334 | if self.selBlocksize == None: |
|
|
325 | 335 | self.selBlocksize = self.dataOut.nProfiles |
|
|
326 | 336 | if self.selBlocktime != None: |
|
|
327 | 337 | if self.dataOut.nCohInt is not None: |
|
|
328 | 338 | nCohInt = self.dataOut.nCohInt |
|
|
329 | 339 | else: |
|
|
330 | 340 | nCohInt = 1 |
|
|
331 | 341 | self.selBlocksize = int(self.dataOut.nProfiles * round(self.selBlocktime / ( |
|
|
332 | 342 | nCohInt * self.dataOut.ippSeconds * self.dataOut.nProfiles))) |
|
|
333 | 343 | self.dataOut.data = self.datablock[:, |
|
|
334 | 344 | self.profileIndex:self.profileIndex + self.selBlocksize, :] |
|
|
335 | 345 | datasize = self.dataOut.data.shape[1] |
|
|
336 | 346 | if datasize < self.selBlocksize: |
|
|
337 | 347 | buffer = numpy.zeros( |
|
|
338 | 348 | (self.dataOut.data.shape[0], self.selBlocksize, self.dataOut.data.shape[2]), dtype='complex') |
|
|
339 | 349 | buffer[:, :datasize, :] = self.dataOut.data |
|
|
340 | 350 | self.dataOut.data = buffer |
|
|
341 | 351 | self.profileIndex = blockIndex |
|
|
342 | 352 | |
|
|
343 | 353 | self.dataOut.flagDataAsBlock = True |
|
|
344 | 354 | self.flagIsNewBlock = 1 |
|
|
345 | 355 | self.dataOut.realtime = self.online |
|
|
346 | 356 | |
|
|
347 | 357 | return self.dataOut.data |
|
|
348 | 358 | |
|
|
349 | 359 | def getData(self): |
|
|
350 | 360 | """ |
|
|
351 | 361 | getData obtiene una unidad de datos del buffer de lectura, un perfil, y la copia al objeto self.dataOut |
|
|
352 | 362 | del tipo "Voltage" con todos los parametros asociados a este (metadata). cuando no hay datos |
|
|
353 | 363 | en el buffer de lectura es necesario hacer una nueva lectura de los bloques de datos usando |
|
|
354 | 364 | "readNextBlock" |
|
|
355 | 365 | |
|
|
356 | 366 | Ademas incrementa el contador del buffer "self.profileIndex" en 1. |
|
|
357 | 367 | |
|
|
358 | 368 | Return: |
|
|
359 | 369 | |
|
|
360 | 370 | Si el flag self.getByBlock ha sido seteado el bloque completo es copiado a self.dataOut y el self.profileIndex |
|
|
361 | 371 | es igual al total de perfiles leidos desde el archivo. |
|
|
362 | 372 | |
|
|
363 | 373 | Si self.getByBlock == False: |
|
|
364 | 374 | |
|
|
365 | 375 | self.dataOut.data = buffer[:, thisProfile, :] |
|
|
366 | 376 | |
|
|
367 | 377 | shape = [nChannels, nHeis] |
|
|
368 | 378 | |
|
|
369 | 379 | Si self.getByBlock == True: |
|
|
370 | 380 | |
|
|
371 | 381 | self.dataOut.data = buffer[:, :, :] |
|
|
372 | 382 | |
|
|
373 | 383 | shape = [nChannels, nProfiles, nHeis] |
|
|
374 | 384 | |
|
|
375 | 385 | Variables afectadas: |
|
|
376 | 386 | self.dataOut |
|
|
377 | 387 | self.profileIndex |
|
|
378 | 388 | |
|
|
379 | 389 | Affected: |
|
|
380 | 390 | self.dataOut |
|
|
381 | 391 | self.profileIndex |
|
|
382 | 392 | self.flagDiscontinuousBlock |
|
|
383 | 393 | self.flagIsNewBlock |
|
|
384 | 394 | """ |
|
|
395 | ||
|
|
396 | ##print("10--OKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK") | |
|
|
385 | 397 | if self.flagNoMoreFiles: |
|
|
386 | 398 | self.dataOut.flagNoData = True |
|
|
387 | 399 | return 0 |
|
|
388 | 400 | self.flagDiscontinuousBlock = 0 |
|
|
389 | 401 | self.flagIsNewBlock = 0 |
|
|
390 | 402 | if self.__hasNotDataInBuffer(): |
|
|
391 | 403 | if not(self.readNextBlock()): |
|
|
392 | 404 | return 0 |
|
|
393 | 405 | |
|
|
394 | 406 | self.getFirstHeader() |
|
|
395 | 407 | |
|
|
396 | 408 | self.reshapeData() |
|
|
397 | 409 | if self.datablock is None: |
|
|
398 | 410 | self.dataOut.flagNoData = True |
|
|
399 | 411 | return 0 |
|
|
400 | 412 | |
|
|
401 | 413 | if not self.getByBlock: |
|
|
402 | 414 | |
|
|
403 | 415 | """ |
|
|
404 | 416 | Return profile by profile |
|
|
405 | 417 | |
|
|
406 | 418 | If nTxs > 1 then one profile is divided by nTxs and number of total |
|
|
407 | 419 | blocks is increased by nTxs (nProfiles *= nTxs) |
|
|
408 | 420 | """ |
|
|
409 | 421 | self.dataOut.flagDataAsBlock = False |
|
|
410 | 422 | self.dataOut.data = self.datablock[:, self.profileIndex, :] |
|
|
411 | 423 | self.dataOut.profileIndex = self.profileIndex |
|
|
412 | 424 | |
|
|
425 | ||
|
|
413 | 426 | self.profileIndex += 1 |
|
|
414 | 427 | |
|
|
415 | 428 | else: |
|
|
416 | 429 | """ |
|
|
417 | 430 | Return a block |
|
|
418 | 431 | """ |
|
|
419 | 432 | if self.selBlocksize == None: |
|
|
420 | 433 | self.selBlocksize = self.dataOut.nProfiles |
|
|
421 | 434 | if self.selBlocktime != None: |
|
|
422 | 435 | if self.dataOut.nCohInt is not None: |
|
|
423 | 436 | nCohInt = self.dataOut.nCohInt |
|
|
424 | 437 | else: |
|
|
425 | 438 | nCohInt = 1 |
|
|
426 | 439 | self.selBlocksize = int(self.dataOut.nProfiles * round(self.selBlocktime / ( |
|
|
427 | 440 | nCohInt * self.dataOut.ippSeconds * self.dataOut.nProfiles))) |
|
|
428 | 441 | |
|
|
429 | 442 | self.dataOut.data = self.datablock[:, |
|
|
430 | 443 | self.profileIndex:self.profileIndex + self.selBlocksize, :] |
|
|
431 | 444 | self.profileIndex += self.selBlocksize |
|
|
432 | 445 | datasize = self.dataOut.data.shape[1] |
|
|
433 | 446 | |
|
|
434 | 447 | if datasize < self.selBlocksize: |
|
|
435 | 448 | buffer = numpy.zeros( |
|
|
436 | 449 | (self.dataOut.data.shape[0], self.selBlocksize, self.dataOut.data.shape[2]), dtype='complex') |
|
|
437 | 450 | buffer[:, :datasize, :] = self.dataOut.data |
|
|
438 | 451 | |
|
|
439 | 452 | while datasize < self.selBlocksize: # Not enough profiles to fill the block |
|
|
440 | 453 | if not(self.readNextBlock()): |
|
|
441 | 454 | return 0 |
|
|
442 | 455 | self.getFirstHeader() |
|
|
443 | 456 | self.reshapeData() |
|
|
444 | 457 | if self.datablock is None: |
|
|
445 | 458 | self.dataOut.flagNoData = True |
|
|
446 | 459 | return 0 |
|
|
447 | 460 | # stack data |
|
|
448 | 461 | blockIndex = self.selBlocksize - datasize |
|
|
449 | 462 | datablock1 = self.datablock[:, :blockIndex, :] |
|
|
450 | 463 | |
|
|
451 | 464 | buffer[:, datasize:datasize + |
|
|
452 | 465 | datablock1.shape[1], :] = datablock1 |
|
|
453 | 466 | datasize += datablock1.shape[1] |
|
|
454 | 467 | |
|
|
455 | 468 | self.dataOut.data = buffer |
|
|
456 | 469 | self.profileIndex = blockIndex |
|
|
457 | 470 | |
|
|
458 | 471 | self.dataOut.flagDataAsBlock = True |
|
|
459 | 472 | self.dataOut.nProfiles = self.dataOut.data.shape[1] |
|
|
460 | 473 | |
|
|
474 | #######################DP####################### | |
|
|
475 | self.dataOut.CurrentBlock=self.nReadBlocks | |
|
|
476 | self.dataOut.LastBlock=self.processingHeaderObj.dataBlocksPerFile | |
|
|
477 | #######################DP####################### | |
|
|
461 | 478 | self.dataOut.flagNoData = False |
|
|
462 | 479 | |
|
|
463 | self.getBasicHeader() | |
|
|
480 | #self.getBasicHeader() | |
|
|
464 | 481 | |
|
|
465 | 482 | self.dataOut.realtime = self.online |
|
|
466 | 483 | |
|
|
467 | 484 | return self.dataOut.data |
|
|
468 | 485 | |
|
|
469 | 486 | |
|
|
470 | 487 | @MPDecorator |
|
|
471 | 488 | class VoltageWriter(JRODataWriter, Operation): |
|
|
472 | 489 | """ |
|
|
473 | 490 | Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura |
|
|
474 | 491 | de los datos siempre se realiza por bloques. |
|
|
475 | 492 | """ |
|
|
476 | 493 | |
|
|
477 | 494 | ext = ".r" |
|
|
478 | 495 | |
|
|
479 | 496 | optchar = "D" |
|
|
480 | 497 | |
|
|
481 | 498 | shapeBuffer = None |
|
|
482 | 499 | |
|
|
483 | 500 | def __init__(self):#, **kwargs): |
|
|
484 | 501 | """ |
|
|
485 | 502 | Inicializador de la clase VoltageWriter para la escritura de datos de espectros. |
|
|
486 | 503 | |
|
|
487 | 504 | Affected: |
|
|
488 | 505 | self.dataOut |
|
|
489 | 506 | |
|
|
490 | 507 | Return: None |
|
|
491 | 508 | """ |
|
|
492 | 509 | Operation.__init__(self)#, **kwargs) |
|
|
493 | 510 | |
|
|
494 | 511 | self.nTotalBlocks = 0 |
|
|
495 | 512 | |
|
|
496 | 513 | self.profileIndex = 0 |
|
|
497 | 514 | |
|
|
498 | 515 | self.isConfig = False |
|
|
499 | 516 | |
|
|
500 | 517 | self.fp = None |
|
|
501 | 518 | |
|
|
502 | 519 | self.flagIsNewFile = 1 |
|
|
503 | 520 | |
|
|
504 | 521 | self.blockIndex = 0 |
|
|
505 | 522 | |
|
|
506 | 523 | self.flagIsNewBlock = 0 |
|
|
507 | 524 | |
|
|
508 | 525 | self.setFile = None |
|
|
509 | 526 | |
|
|
510 | 527 | self.dtype = None |
|
|
511 | 528 | |
|
|
512 | 529 | self.path = None |
|
|
513 | 530 | |
|
|
514 | 531 | self.filename = None |
|
|
515 | 532 | |
|
|
516 | 533 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
517 | 534 | |
|
|
518 | 535 | self.systemHeaderObj = SystemHeader() |
|
|
519 | 536 | |
|
|
520 | 537 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
521 | 538 | |
|
|
522 | 539 | self.processingHeaderObj = ProcessingHeader() |
|
|
523 | 540 | |
|
|
524 | 541 | def hasAllDataInBuffer(self): |
|
|
525 | 542 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
526 | 543 | return 1 |
|
|
527 | 544 | return 0 |
|
|
528 | 545 | |
|
|
529 | 546 | def setBlockDimension(self): |
|
|
530 | 547 | """ |
|
|
531 | 548 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
532 | 549 | |
|
|
533 | 550 | Affected: |
|
|
534 | 551 | self.shape_spc_Buffer |
|
|
535 | 552 | self.shape_cspc_Buffer |
|
|
536 | 553 | self.shape_dc_Buffer |
|
|
537 | 554 | |
|
|
538 | 555 | Return: None |
|
|
539 | 556 | """ |
|
|
540 | 557 | self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock, |
|
|
541 | 558 | self.processingHeaderObj.nHeights, |
|
|
542 | 559 | self.systemHeaderObj.nChannels) |
|
|
543 | 560 | |
|
|
544 | 561 | self.datablock = numpy.zeros((self.systemHeaderObj.nChannels, |
|
|
545 | 562 | self.processingHeaderObj.profilesPerBlock, |
|
|
546 | 563 | self.processingHeaderObj.nHeights), |
|
|
547 | 564 | dtype=numpy.dtype('complex64')) |
|
|
548 | 565 | |
|
|
549 | 566 | def writeBlock(self): |
|
|
550 | 567 | """ |
|
|
551 | 568 | Escribe el buffer en el file designado |
|
|
552 | 569 | |
|
|
553 | 570 | Affected: |
|
|
554 | 571 | self.profileIndex |
|
|
555 | 572 | self.flagIsNewFile |
|
|
556 | 573 | self.flagIsNewBlock |
|
|
557 | 574 | self.nTotalBlocks |
|
|
558 | 575 | self.blockIndex |
|
|
559 | 576 | |
|
|
560 | 577 | Return: None |
|
|
561 | 578 | """ |
|
|
562 | 579 | data = numpy.zeros(self.shapeBuffer, self.dtype) |
|
|
563 | 580 | |
|
|
564 | 581 | junk = numpy.transpose(self.datablock, (1, 2, 0)) |
|
|
565 | 582 | |
|
|
566 | 583 | data['real'] = junk.real |
|
|
567 | 584 | data['imag'] = junk.imag |
|
|
568 | 585 | |
|
|
569 | 586 | data = data.reshape((-1)) |
|
|
570 | 587 | |
|
|
571 | 588 | data.tofile(self.fp) |
|
|
572 | 589 | |
|
|
573 | 590 | self.datablock.fill(0) |
|
|
574 | 591 | |
|
|
575 | 592 | self.profileIndex = 0 |
|
|
576 | 593 | self.flagIsNewFile = 0 |
|
|
577 | 594 | self.flagIsNewBlock = 1 |
|
|
578 | 595 | |
|
|
579 | 596 | self.blockIndex += 1 |
|
|
580 | 597 | self.nTotalBlocks += 1 |
|
|
581 | 598 | |
|
|
582 | 599 | # print "[Writing] Block = %04d" %self.blockIndex |
|
|
583 | 600 | |
|
|
584 | 601 | def putData(self): |
|
|
585 | 602 | """ |
|
|
586 | 603 | Setea un bloque de datos y luego los escribe en un file |
|
|
587 | 604 | |
|
|
588 | 605 | Affected: |
|
|
589 | 606 | self.flagIsNewBlock |
|
|
590 | 607 | self.profileIndex |
|
|
591 | 608 | |
|
|
592 | 609 | Return: |
|
|
593 | 610 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
594 | 611 | 1 : Si se escribio la data de un bloque en un file |
|
|
595 | 612 | """ |
|
|
596 | 613 | if self.dataOut.flagNoData: |
|
|
597 | 614 | return 0 |
|
|
598 | 615 | |
|
|
599 | 616 | self.flagIsNewBlock = 0 |
|
|
600 | 617 | |
|
|
601 | 618 | if self.dataOut.flagDiscontinuousBlock: |
|
|
602 | 619 | self.datablock.fill(0) |
|
|
603 | 620 | self.profileIndex = 0 |
|
|
604 | 621 | self.setNextFile() |
|
|
605 | 622 | |
|
|
606 | 623 | if self.profileIndex == 0: |
|
|
607 | 624 | self.setBasicHeader() |
|
|
608 | 625 | |
|
|
609 | 626 | self.datablock[:, self.profileIndex, :] = self.dataOut.data |
|
|
610 | 627 | |
|
|
611 | 628 | self.profileIndex += 1 |
|
|
612 | 629 | |
|
|
613 | 630 | if self.hasAllDataInBuffer(): |
|
|
614 | 631 | # if self.flagIsNewFile: |
|
|
615 | 632 | self.writeNextBlock() |
|
|
616 | 633 | # self.setFirstHeader() |
|
|
617 | 634 | |
|
|
618 | 635 | return 1 |
|
|
619 | 636 | |
|
|
620 | 637 | def __getBlockSize(self): |
|
|
621 | 638 | ''' |
|
|
622 | 639 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage |
|
|
623 | 640 | ''' |
|
|
624 | 641 | |
|
|
625 | 642 | dtype_width = self.getDtypeWidth() |
|
|
626 | 643 | |
|
|
627 | 644 | blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * |
|
|
628 | 645 | self.profilesPerBlock * dtype_width * 2) |
|
|
629 | 646 | |
|
|
630 | 647 | return blocksize |
|
|
631 | 648 | |
|
|
632 | 649 | def setFirstHeader(self): |
|
|
633 | 650 | """ |
|
|
634 | 651 | Obtiene una copia del First Header |
|
|
635 | 652 | |
|
|
636 | 653 | Affected: |
|
|
637 | 654 | self.systemHeaderObj |
|
|
638 | 655 | self.radarControllerHeaderObj |
|
|
639 | 656 | self.dtype |
|
|
640 | 657 | |
|
|
641 | 658 | Return: |
|
|
642 | 659 | None |
|
|
643 | 660 | """ |
|
|
644 | 661 | |
|
|
645 | 662 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
646 | 663 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
647 | 664 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
648 | 665 | |
|
|
649 | 666 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|
650 | 667 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
651 | 668 | self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock |
|
|
652 | 669 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
653 | 670 | # podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
654 | 671 | self.processingHeaderObj.nWindows = 1 |
|
|
655 | 672 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt |
|
|
656 | 673 | # Cuando la data de origen es de tipo Voltage |
|
|
657 | 674 | self.processingHeaderObj.nIncohInt = 1 |
|
|
658 | 675 | # Cuando la data de origen es de tipo Voltage |
|
|
659 | 676 | self.processingHeaderObj.totalSpectra = 0 |
|
|
660 | 677 | |
|
|
661 | 678 | if self.dataOut.code is not None: |
|
|
662 | 679 | self.processingHeaderObj.code = self.dataOut.code |
|
|
663 | 680 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
664 | 681 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
665 | 682 | |
|
|
666 | 683 | if self.processingHeaderObj.nWindows != 0: |
|
|
667 | 684 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
668 | 685 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - \ |
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669 | 686 | self.dataOut.heightList[0] |
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670 | 687 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
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671 | 688 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
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672 | 689 | |
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673 | 690 | self.processingHeaderObj.processFlags = self.getProcessFlags() |
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674 | 691 | |
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675 | 692 | self.setBasicHeader() |
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676 | No newline at end of file | |
| @@ -1,16 +1,22 | |||
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1 | 1 | ''' |
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2 | 2 | |
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3 | 3 | $Author: murco $ |
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4 | 4 | $Id: Processor.py 1 2012-11-12 18:56:07Z murco $ |
|
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5 | 5 | ''' |
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6 | 6 | |
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7 | 7 | from .jroproc_voltage import * |
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8 | 8 | from .jroproc_spectra import * |
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9 | 9 | from .jroproc_heispectra import * |
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10 | 10 | from .jroproc_amisr import * |
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11 | 11 | from .jroproc_correlation import * |
|
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12 | 12 | from .jroproc_parameters import * |
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13 | 13 | from .jroproc_spectra_lags import * |
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14 | 14 | from .jroproc_spectra_acf import * |
|
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15 | 15 | from .bltrproc_parameters import * |
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16 | 16 | from .pxproc_parameters import * |
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17 | ||
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18 | ||
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19 | ###########DP########### | |
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20 | from .jroproc_voltage_lags import * | |
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21 | ###########DP########### | |
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22 | from .jroproc_spectra_lags_faraday import * | |
| @@ -1,203 +1,203 | |||
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1 | 1 | ''' |
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2 | 2 | Base clases to create Processing units and operations, the MPDecorator |
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3 | 3 | must be used in plotting and writing operations to allow to run as an |
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4 | 4 | external process. |
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5 | 5 | ''' |
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6 | 6 | |
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7 | 7 | import inspect |
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8 | 8 | import zmq |
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9 | 9 | import time |
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10 | 10 | import pickle |
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11 | 11 | import traceback |
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12 | 12 | from threading import Thread |
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13 | 13 | from multiprocessing import Process, Queue |
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14 | 14 | from schainpy.utils import log |
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15 | 15 | |
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16 | 16 | |
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17 | 17 | class ProcessingUnit(object): |
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18 | 18 | ''' |
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19 | 19 | Base class to create Signal Chain Units |
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20 | 20 | ''' |
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21 | 21 | |
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22 | 22 | proc_type = 'processing' |
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23 | 23 | |
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24 | 24 | def __init__(self): |
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25 | 25 | |
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26 | 26 | self.dataIn = None |
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27 | 27 | self.dataOut = None |
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28 | 28 | self.isConfig = False |
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29 | 29 | self.operations = [] |
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30 | 30 | |
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31 | 31 | def setInput(self, unit): |
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32 | 32 | |
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33 | 33 | self.dataIn = unit.dataOut |
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34 | 34 | |
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35 | 35 | def getAllowedArgs(self): |
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36 | 36 | if hasattr(self, '__attrs__'): |
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37 | 37 | return self.__attrs__ |
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38 | 38 | else: |
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39 | 39 | return inspect.getargspec(self.run).args |
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40 | 40 | |
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41 | 41 | def addOperation(self, conf, operation): |
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42 | 42 | ''' |
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43 | 43 | ''' |
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44 | 44 | |
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45 | 45 | self.operations.append((operation, conf.type, conf.getKwargs())) |
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46 | 46 | |
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47 | 47 | def getOperationObj(self, objId): |
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48 | 48 | |
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49 | 49 | if objId not in list(self.operations.keys()): |
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50 | 50 | return None |
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51 | 51 | |
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52 | 52 | return self.operations[objId] |
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53 | 53 | |
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54 | 54 | def call(self, **kwargs): |
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55 | 55 | ''' |
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56 | 56 | ''' |
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57 | 57 | |
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58 | 58 | try: |
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59 | 59 | if self.dataIn is not None and self.dataIn.flagNoData and not self.dataIn.error: |
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60 | 60 | return self.dataIn.isReady() |
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61 | 61 | elif self.dataIn is None or not self.dataIn.error: |
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62 | 62 | self.run(**kwargs) |
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63 | 63 | elif self.dataIn.error: |
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64 | 64 | self.dataOut.error = self.dataIn.error |
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65 | 65 | self.dataOut.flagNoData = True |
|
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66 | 66 | except: |
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67 | 67 | err = traceback.format_exc() |
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68 | 68 | if 'SchainWarning' in err: |
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69 | 69 | log.warning(err.split('SchainWarning:')[-1].split('\n')[0].strip(), self.name) |
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70 | 70 | elif 'SchainError' in err: |
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71 | 71 | log.error(err.split('SchainError:')[-1].split('\n')[0].strip(), self.name) |
|
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72 | 72 | else: |
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73 | 73 | log.error(err, self.name) |
|
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74 | 74 | self.dataOut.error = True |
|
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75 | 75 | |
|
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76 | 76 | for op, optype, opkwargs in self.operations: |
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77 | 77 | if optype == 'other' and not self.dataOut.flagNoData: |
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78 | 78 | self.dataOut = op.run(self.dataOut, **opkwargs) |
|
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79 | 79 | elif optype == 'external' and not self.dataOut.flagNoData: |
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80 | 80 | op.queue.put(self.dataOut) |
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81 | 81 | elif optype == 'external' and self.dataOut.error: |
|
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82 | 82 | op.queue.put(self.dataOut) |
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83 | 83 | |
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84 | 84 | return 'Error' if self.dataOut.error else self.dataOut.isReady() |
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85 | 85 | |
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86 | 86 | def setup(self): |
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87 | 87 | |
|
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88 | 88 | raise NotImplementedError |
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89 | 89 | |
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90 | 90 | def run(self): |
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91 | 91 | |
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92 | 92 | raise NotImplementedError |
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93 | 93 | |
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94 | 94 | def close(self): |
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95 | 95 | |
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96 | 96 | return |
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97 | 97 | |
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98 | 98 | |
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99 | 99 | class Operation(object): |
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100 | 100 | |
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101 | 101 | ''' |
|
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102 | 102 | ''' |
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103 | 103 | |
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104 | 104 | proc_type = 'operation' |
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105 | 105 | |
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106 | 106 | def __init__(self): |
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107 | 107 | |
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108 | 108 | self.id = None |
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109 | 109 | self.isConfig = False |
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110 | 110 | |
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111 | 111 | if not hasattr(self, 'name'): |
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112 | 112 | self.name = self.__class__.__name__ |
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113 | 113 | |
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114 | 114 | def getAllowedArgs(self): |
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115 | 115 | if hasattr(self, '__attrs__'): |
|
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116 | 116 | return self.__attrs__ |
|
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117 | 117 | else: |
|
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118 | 118 | return inspect.getargspec(self.run).args |
|
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119 | 119 | |
|
|
120 | 120 | def setup(self): |
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121 | 121 | |
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122 | 122 | self.isConfig = True |
|
|
123 | 123 | |
|
|
124 | 124 | raise NotImplementedError |
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125 | 125 | |
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126 | 126 | def run(self, dataIn, **kwargs): |
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|
127 | 127 | """ |
|
|
128 | 128 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los |
|
|
129 | 129 | atributos del objeto dataIn. |
|
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130 | 130 | |
|
|
131 | 131 | Input: |
|
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132 | 132 | |
|
|
133 | 133 | dataIn : objeto del tipo JROData |
|
|
134 | 134 | |
|
|
135 | 135 | Return: |
|
|
136 | 136 | |
|
|
137 | 137 | None |
|
|
138 | 138 | |
|
|
139 | 139 | Affected: |
|
|
140 | 140 | __buffer : buffer de recepcion de datos. |
|
|
141 | 141 | |
|
|
142 | 142 | """ |
|
|
143 | 143 | if not self.isConfig: |
|
|
144 | 144 | self.setup(**kwargs) |
|
|
145 | 145 | |
|
|
146 | 146 | raise NotImplementedError |
|
|
147 | 147 | |
|
|
148 | 148 | def close(self): |
|
|
149 | 149 | |
|
|
150 | 150 | return |
|
|
151 | 151 | |
|
|
152 | 152 | |
|
|
153 | 153 | def MPDecorator(BaseClass): |
|
|
154 | 154 | """ |
|
|
155 | 155 | Multiprocessing class decorator |
|
|
156 | 156 | |
|
|
157 | 157 | This function add multiprocessing features to a BaseClass. |
|
|
158 | 158 | """ |
|
|
159 | 159 | |
|
|
160 | 160 | class MPClass(BaseClass, Process): |
|
|
161 | 161 | |
|
|
162 | 162 | def __init__(self, *args, **kwargs): |
|
|
163 | 163 | super(MPClass, self).__init__() |
|
|
164 | 164 | Process.__init__(self) |
|
|
165 | 165 | |
|
|
166 | 166 | self.args = args |
|
|
167 | 167 | self.kwargs = kwargs |
|
|
168 | 168 | self.t = time.time() |
|
|
169 | 169 | self.op_type = 'external' |
|
|
170 | 170 | self.name = BaseClass.__name__ |
|
|
171 | 171 | self.__doc__ = BaseClass.__doc__ |
|
|
172 | ||
|
|
172 | ||
|
|
173 | 173 | if 'plot' in self.name.lower() and not self.name.endswith('_'): |
|
|
174 | 174 | self.name = '{}{}'.format(self.CODE.upper(), 'Plot') |
|
|
175 | 175 | |
|
|
176 | 176 | self.start_time = time.time() |
|
|
177 | 177 | self.err_queue = args[3] |
|
|
178 | 178 | self.queue = Queue(maxsize=1) |
|
|
179 | 179 | self.myrun = BaseClass.run |
|
|
180 | 180 | |
|
|
181 | 181 | def run(self): |
|
|
182 | 182 | |
|
|
183 | 183 | while True: |
|
|
184 | 184 | |
|
|
185 | 185 | dataOut = self.queue.get() |
|
|
186 | 186 | |
|
|
187 | 187 | if not dataOut.error: |
|
|
188 | 188 | try: |
|
|
189 | 189 | BaseClass.run(self, dataOut, **self.kwargs) |
|
|
190 | 190 | except: |
|
|
191 | 191 | err = traceback.format_exc() |
|
|
192 | 192 | log.error(err, self.name) |
|
|
193 | 193 | else: |
|
|
194 | 194 | break |
|
|
195 | 195 | |
|
|
196 | 196 | self.close() |
|
|
197 | 197 | |
|
|
198 | 198 | def close(self): |
|
|
199 | 199 | |
|
|
200 | 200 | BaseClass.close(self) |
|
|
201 | 201 | log.success('Done...(Time:{:4.2f} secs)'.format(time.time()-self.start_time), self.name) |
|
|
202 | 202 | |
|
|
203 | 203 | return MPClass |
|
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