@@ -1,793 +1,793 | |||
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1 | 1 | ''' |
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2 | 2 | Created on Jul 3, 2014 |
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3 | 3 | |
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4 | 4 | @author: roj-idl71 |
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5 | 5 | ''' |
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6 | 6 | # SUBCHANNELS EN VEZ DE CHANNELS |
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7 | 7 | # BENCHMARKS -> PROBLEMAS CON ARCHIVOS GRANDES -> INCONSTANTE EN EL TIEMPO |
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8 | 8 | # ACTUALIZACION DE VERSION |
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9 | 9 | # HEADERS |
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10 | 10 | # MODULO DE ESCRITURA |
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11 | 11 | # METADATA |
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12 | 12 | |
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13 | 13 | import os |
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14 | 14 | import time |
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15 | 15 | import datetime |
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16 | 16 | import numpy |
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17 | 17 | import timeit |
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18 | 18 | from fractions import Fraction |
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19 | 19 | from time import time |
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20 | 20 | from time import sleep |
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21 | 21 | |
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22 | 22 | import schainpy.admin |
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23 | 23 | from schainpy.model.data.jroheaderIO import RadarControllerHeader, SystemHeader |
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24 | 24 | from schainpy.model.data.jrodata import Voltage |
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25 | 25 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
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26 | 26 | |
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27 | 27 | import pickle |
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28 | 28 | try: |
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29 | 29 | import digital_rf |
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30 | 30 | except: |
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31 | 31 | pass |
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32 | 32 | |
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33 | 33 | |
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34 | 34 | class DigitalRFReader(ProcessingUnit): |
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35 | 35 | ''' |
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36 | 36 | classdocs |
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37 | 37 | ''' |
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38 | 38 | |
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39 | 39 | def __init__(self): |
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40 | 40 | ''' |
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41 | 41 | Constructor |
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42 | 42 | ''' |
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43 | 43 | |
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44 | 44 | ProcessingUnit.__init__(self) |
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45 | 45 | |
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46 | 46 | self.dataOut = Voltage() |
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47 | 47 | self.__printInfo = True |
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48 | 48 | self.__flagDiscontinuousBlock = False |
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49 | 49 | self.__bufferIndex = 9999999 |
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50 | 50 | self.__codeType = 0 |
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51 | 51 | self.__ippKm = None |
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52 | 52 | self.__nCode = None |
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53 | 53 | self.__nBaud = None |
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54 | 54 | self.__code = None |
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55 | 55 | self.dtype = None |
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56 | 56 | self.oldAverage = None |
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57 | 57 | self.path = None |
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58 | 58 | |
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59 | 59 | def close(self): |
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60 | 60 | print('Average of writing to digital rf format is ', self.oldAverage * 1000) |
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61 | 61 | return |
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62 | 62 | |
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63 | 63 | def __getCurrentSecond(self): |
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64 | 64 | |
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65 | 65 | return self.__thisUnixSample / self.__sample_rate |
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66 | 66 | |
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67 | 67 | thisSecond = property(__getCurrentSecond, "I'm the 'thisSecond' property.") |
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68 | 68 | |
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69 | 69 | def __setFileHeader(self): |
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70 | 70 | ''' |
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71 | 71 | In this method will be initialized every parameter of dataOut object (header, no data) |
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72 | 72 | ''' |
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73 | 73 | ippSeconds = 1.0 * self.__nSamples / self.__sample_rate |
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74 | 74 | |
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75 | 75 | nProfiles = 1.0 / ippSeconds # Number of profiles in one second |
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76 | 76 | |
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77 | 77 | try: |
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78 | 78 | self.dataOut.radarControllerHeaderObj = RadarControllerHeader( |
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79 | 79 | self.__radarControllerHeader) |
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80 | 80 | except: |
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81 | 81 | self.dataOut.radarControllerHeaderObj = RadarControllerHeader( |
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82 | 82 | txA=0, |
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83 | 83 | txB=0, |
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84 | 84 | nWindows=1, |
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85 | 85 | nHeights=self.__nSamples, |
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86 | 86 | firstHeight=self.__firstHeigth, |
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87 | 87 | deltaHeight=self.__deltaHeigth, |
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88 | 88 | codeType=self.__codeType, |
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89 | 89 | nCode=self.__nCode, nBaud=self.__nBaud, |
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90 | 90 | code=self.__code) |
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91 | 91 | |
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92 | 92 | try: |
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93 | 93 | self.dataOut.systemHeaderObj = SystemHeader(self.__systemHeader) |
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94 | 94 | except: |
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95 | 95 | self.dataOut.systemHeaderObj = SystemHeader(nSamples=self.__nSamples, |
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96 | 96 | nProfiles=nProfiles, |
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97 | 97 | nChannels=len( |
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98 | 98 | self.__channelList), |
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99 | 99 | adcResolution=14) |
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100 | 100 | self.dataOut.type = "Voltage" |
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101 | 101 | |
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102 | 102 | self.dataOut.data = None |
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103 | 103 | |
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104 | 104 | self.dataOut.dtype = self.dtype |
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105 | 105 | |
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106 | 106 | # self.dataOut.nChannels = 0 |
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107 | 107 | |
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108 | 108 | # self.dataOut.nHeights = 0 |
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109 | 109 | |
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110 | 110 | self.dataOut.nProfiles = int(nProfiles) |
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111 | 111 | |
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112 | 112 | self.dataOut.heightList = self.__firstHeigth + \ |
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113 | numpy.arange(self.__nSamples, dtype=numpy.float) * \ | |
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113 | numpy.arange(self.__nSamples, dtype=numpy.float32) * \ | |
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114 | 114 | self.__deltaHeigth |
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115 | 115 | |
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116 | 116 | self.dataOut.channelList = list(range(self.__num_subchannels)) |
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117 | 117 | |
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118 | 118 | self.dataOut.blocksize = self.dataOut.nChannels * self.dataOut.nHeights |
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119 | 119 | |
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120 | 120 | # self.dataOut.channelIndexList = None |
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121 | 121 | |
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122 | 122 | self.dataOut.flagNoData = True |
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123 | 123 | |
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124 | 124 | self.dataOut.flagDataAsBlock = False |
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125 | 125 | # Set to TRUE if the data is discontinuous |
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126 | 126 | self.dataOut.flagDiscontinuousBlock = False |
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127 | 127 | |
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128 | 128 | self.dataOut.utctime = None |
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129 | 129 | |
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130 | 130 | # timezone like jroheader, difference in minutes between UTC and localtime |
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131 | 131 | self.dataOut.timeZone = self.__timezone / 60 |
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132 | 132 | |
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133 | 133 | self.dataOut.dstFlag = 0 |
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134 | 134 | |
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135 | 135 | self.dataOut.errorCount = 0 |
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136 | 136 | |
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137 | 137 | try: |
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138 | 138 | self.dataOut.nCohInt = self.fixed_metadata_dict.get( |
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139 | 139 | 'nCohInt', self.nCohInt) |
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140 | 140 | |
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141 | 141 | # asumo que la data esta decodificada |
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142 | 142 | self.dataOut.flagDecodeData = self.fixed_metadata_dict.get( |
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143 | 143 | 'flagDecodeData', self.flagDecodeData) |
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144 | 144 | |
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145 | 145 | # asumo que la data esta sin flip |
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146 | 146 | self.dataOut.flagDeflipData = self.fixed_metadata_dict['flagDeflipData'] |
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147 | 147 | |
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148 | 148 | self.dataOut.flagShiftFFT = self.fixed_metadata_dict['flagShiftFFT'] |
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149 | 149 | |
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150 | 150 | self.dataOut.useLocalTime = self.fixed_metadata_dict['useLocalTime'] |
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151 | 151 | except: |
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152 | 152 | pass |
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153 | 153 | |
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154 | 154 | self.dataOut.ippSeconds = ippSeconds |
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155 | 155 | |
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156 | 156 | # Time interval between profiles |
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157 | 157 | # self.dataOut.timeInterval = self.dataOut.ippSeconds * self.dataOut.nCohInt |
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158 | 158 | |
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159 | 159 | self.dataOut.frequency = self.__frequency |
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160 | 160 | |
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161 | 161 | self.dataOut.realtime = self.__online |
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162 | 162 | |
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163 | 163 | def findDatafiles(self, path, startDate=None, endDate=None): |
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164 | 164 | |
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165 | 165 | if not os.path.isdir(path): |
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166 | 166 | return [] |
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167 | 167 | |
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168 | 168 | try: |
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169 | 169 | digitalReadObj = digital_rf.DigitalRFReader( |
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170 | 170 | path, load_all_metadata=True) |
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171 | 171 | except: |
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172 | 172 | digitalReadObj = digital_rf.DigitalRFReader(path) |
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173 | 173 | |
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174 | 174 | channelNameList = digitalReadObj.get_channels() |
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175 | 175 | |
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176 | 176 | if not channelNameList: |
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177 | 177 | return [] |
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178 | 178 | |
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179 | 179 | metadata_dict = digitalReadObj.get_rf_file_metadata(channelNameList[0]) |
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180 | 180 | |
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181 | 181 | sample_rate = metadata_dict['sample_rate'][0] |
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182 | 182 | |
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183 | 183 | this_metadata_file = digitalReadObj.get_metadata(channelNameList[0]) |
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184 | 184 | |
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185 | 185 | try: |
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186 | 186 | timezone = this_metadata_file['timezone'].value |
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187 | 187 | except: |
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188 | 188 | timezone = 0 |
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189 | 189 | |
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190 | 190 | startUTCSecond, endUTCSecond = digitalReadObj.get_bounds( |
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191 | 191 | channelNameList[0]) / sample_rate - timezone |
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192 | 192 | |
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193 | 193 | startDatetime = datetime.datetime.utcfromtimestamp(startUTCSecond) |
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194 | 194 | endDatatime = datetime.datetime.utcfromtimestamp(endUTCSecond) |
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195 | 195 | |
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196 | 196 | if not startDate: |
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197 | 197 | startDate = startDatetime.date() |
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198 | 198 | |
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199 | 199 | if not endDate: |
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200 | 200 | endDate = endDatatime.date() |
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201 | 201 | |
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202 | 202 | dateList = [] |
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203 | 203 | |
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204 | 204 | thisDatetime = startDatetime |
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205 | 205 | |
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206 | 206 | while(thisDatetime <= endDatatime): |
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207 | 207 | |
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208 | 208 | thisDate = thisDatetime.date() |
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209 | 209 | |
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210 | 210 | if thisDate < startDate: |
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211 | 211 | continue |
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212 | 212 | |
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213 | 213 | if thisDate > endDate: |
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214 | 214 | break |
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215 | 215 | |
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216 | 216 | dateList.append(thisDate) |
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217 | 217 | thisDatetime += datetime.timedelta(1) |
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218 | 218 | |
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219 | 219 | return dateList |
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220 | 220 | |
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221 | 221 | def setup(self, path=None, |
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222 | 222 | startDate=None, |
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223 | 223 | endDate=None, |
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224 | 224 | startTime=datetime.time(0, 0, 0), |
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225 | 225 | endTime=datetime.time(23, 59, 59), |
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226 | 226 | channelList=None, |
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227 | 227 | nSamples=None, |
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228 | 228 | online=False, |
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229 | 229 | delay=60, |
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230 | 230 | buffer_size=1024, |
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231 | 231 | ippKm=None, |
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232 | 232 | nCohInt=1, |
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233 | 233 | nCode=1, |
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234 | 234 | nBaud=1, |
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235 | 235 | flagDecodeData=False, |
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236 | code=numpy.ones((1, 1), dtype=numpy.int), | |
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236 | code=numpy.ones((1, 1), dtype=numpy.int32), | |
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237 | 237 | **kwargs): |
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238 | 238 | ''' |
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239 | 239 | In this method we should set all initial parameters. |
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240 | 240 | |
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241 | 241 | Inputs: |
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242 | 242 | path |
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243 | 243 | startDate |
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244 | 244 | endDate |
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245 | 245 | startTime |
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246 | 246 | endTime |
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247 | 247 | set |
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248 | 248 | expLabel |
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249 | 249 | ext |
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250 | 250 | online |
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251 | 251 | delay |
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252 | 252 | ''' |
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253 | 253 | self.path = path |
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254 | 254 | self.nCohInt = nCohInt |
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255 | 255 | self.flagDecodeData = flagDecodeData |
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256 | 256 | self.i = 0 |
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257 | 257 | if not os.path.isdir(path): |
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258 | 258 | raise ValueError("[Reading] Directory %s does not exist" % path) |
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259 | 259 | |
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260 | 260 | try: |
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261 | 261 | self.digitalReadObj = digital_rf.DigitalRFReader( |
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262 | 262 | path, load_all_metadata=True) |
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263 | 263 | except: |
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264 | 264 | self.digitalReadObj = digital_rf.DigitalRFReader(path) |
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265 | 265 | |
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266 | 266 | channelNameList = self.digitalReadObj.get_channels() |
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267 | 267 | |
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268 | 268 | if not channelNameList: |
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269 | 269 | raise ValueError("[Reading] Directory %s does not have any files" % path) |
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270 | 270 | |
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271 | 271 | if not channelList: |
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272 | 272 | channelList = list(range(len(channelNameList))) |
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273 | 273 | |
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274 | 274 | ########## Reading metadata ###################### |
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275 | 275 | |
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276 | 276 | top_properties = self.digitalReadObj.get_properties( |
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277 | 277 | channelNameList[channelList[0]]) |
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278 | 278 | |
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279 | 279 | self.__num_subchannels = top_properties['num_subchannels'] |
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280 | 280 | self.__sample_rate = 1.0 * \ |
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281 | 281 | top_properties['sample_rate_numerator'] / \ |
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282 | 282 | top_properties['sample_rate_denominator'] |
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283 | 283 | # self.__samples_per_file = top_properties['samples_per_file'][0] |
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284 | 284 | self.__deltaHeigth = 1e6 * 0.15 / self.__sample_rate # why 0.15? |
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285 | 285 | |
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286 | 286 | this_metadata_file = self.digitalReadObj.get_digital_metadata( |
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287 | 287 | channelNameList[channelList[0]]) |
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288 | 288 | metadata_bounds = this_metadata_file.get_bounds() |
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289 | 289 | self.fixed_metadata_dict = this_metadata_file.read( |
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290 | 290 | metadata_bounds[0])[metadata_bounds[0]] # GET FIRST HEADER |
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291 | 291 | |
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292 | 292 | try: |
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293 | 293 | self.__processingHeader = self.fixed_metadata_dict['processingHeader'] |
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294 | 294 | self.__radarControllerHeader = self.fixed_metadata_dict['radarControllerHeader'] |
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295 | 295 | self.__systemHeader = self.fixed_metadata_dict['systemHeader'] |
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296 | 296 | self.dtype = pickle.loads(self.fixed_metadata_dict['dtype']) |
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297 | 297 | except: |
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298 | 298 | pass |
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299 | 299 | |
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300 | 300 | self.__frequency = None |
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301 | 301 | |
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302 | 302 | self.__frequency = self.fixed_metadata_dict.get('frequency', 1) |
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303 | 303 | |
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304 | 304 | self.__timezone = self.fixed_metadata_dict.get('timezone', 18000) |
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305 | 305 | |
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306 | 306 | try: |
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307 | 307 | nSamples = self.fixed_metadata_dict['nSamples'] |
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308 | 308 | except: |
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309 | 309 | nSamples = None |
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310 | 310 | |
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311 | 311 | self.__firstHeigth = 0 |
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312 | 312 | |
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313 | 313 | try: |
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314 | 314 | codeType = self.__radarControllerHeader['codeType'] |
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315 | 315 | except: |
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316 | 316 | codeType = 0 |
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317 | 317 | |
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318 | 318 | try: |
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319 | 319 | if codeType: |
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320 | 320 | nCode = self.__radarControllerHeader['nCode'] |
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321 | 321 | nBaud = self.__radarControllerHeader['nBaud'] |
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322 | 322 | code = self.__radarControllerHeader['code'] |
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323 | 323 | except: |
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324 | 324 | pass |
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325 | 325 | |
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326 | 326 | if not ippKm: |
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327 | 327 | try: |
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328 | 328 | # seconds to km |
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329 | 329 | ippKm = self.__radarControllerHeader['ipp'] |
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330 | 330 | except: |
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331 | 331 | ippKm = None |
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332 | 332 | #################################################### |
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333 | 333 | self.__ippKm = ippKm |
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334 | 334 | startUTCSecond = None |
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335 | 335 | endUTCSecond = None |
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336 | 336 | |
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337 | 337 | if startDate: |
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338 | 338 | startDatetime = datetime.datetime.combine(startDate, startTime) |
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339 | 339 | startUTCSecond = ( |
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340 | 340 | startDatetime - datetime.datetime(1970, 1, 1)).total_seconds() + self.__timezone |
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341 | 341 | |
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342 | 342 | if endDate: |
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343 | 343 | endDatetime = datetime.datetime.combine(endDate, endTime) |
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344 | 344 | endUTCSecond = (endDatetime - datetime.datetime(1970, |
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345 | 345 | 1, 1)).total_seconds() + self.__timezone |
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346 | 346 | |
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347 | 347 | start_index, end_index = self.digitalReadObj.get_bounds( |
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348 | 348 | channelNameList[channelList[0]]) |
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349 | 349 | |
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350 | 350 | if not startUTCSecond: |
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351 | 351 | startUTCSecond = start_index / self.__sample_rate |
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352 | 352 | |
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353 | 353 | if start_index > startUTCSecond * self.__sample_rate: |
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354 | 354 | startUTCSecond = start_index / self.__sample_rate |
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355 | 355 | |
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356 | 356 | if not endUTCSecond: |
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357 | 357 | endUTCSecond = end_index / self.__sample_rate |
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358 | 358 | |
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359 | 359 | if end_index < endUTCSecond * self.__sample_rate: |
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360 | 360 | endUTCSecond = end_index / self.__sample_rate |
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361 | 361 | if not nSamples: |
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362 | 362 | if not ippKm: |
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363 | 363 | raise ValueError("[Reading] nSamples or ippKm should be defined") |
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364 | 364 | nSamples = int(ippKm / (1e6 * 0.15 / self.__sample_rate)) |
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365 | 365 | channelBoundList = [] |
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366 | 366 | channelNameListFiltered = [] |
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367 | 367 | |
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368 | 368 | for thisIndexChannel in channelList: |
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369 | 369 | thisChannelName = channelNameList[thisIndexChannel] |
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370 | 370 | start_index, end_index = self.digitalReadObj.get_bounds( |
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371 | 371 | thisChannelName) |
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372 | 372 | channelBoundList.append((start_index, end_index)) |
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373 | 373 | channelNameListFiltered.append(thisChannelName) |
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374 | 374 | |
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375 | 375 | self.profileIndex = 0 |
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376 | 376 | self.i = 0 |
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377 | 377 | self.__delay = delay |
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378 | 378 | |
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379 | 379 | self.__codeType = codeType |
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380 | 380 | self.__nCode = nCode |
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381 | 381 | self.__nBaud = nBaud |
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382 | 382 | self.__code = code |
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383 | 383 | |
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384 | 384 | self.__datapath = path |
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385 | 385 | self.__online = online |
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386 | 386 | self.__channelList = channelList |
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387 | 387 | self.__channelNameList = channelNameListFiltered |
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388 | 388 | self.__channelBoundList = channelBoundList |
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389 | 389 | self.__nSamples = nSamples |
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390 | 390 | self.__samples_to_read = int(nSamples) # FIJO: AHORA 40 |
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391 | 391 | self.__nChannels = len(self.__channelList) |
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392 | 392 | |
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393 | 393 | self.__startUTCSecond = startUTCSecond |
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394 | 394 | self.__endUTCSecond = endUTCSecond |
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395 | 395 | |
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396 | 396 | self.__timeInterval = 1.0 * self.__samples_to_read / \ |
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397 | 397 | self.__sample_rate # Time interval |
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398 | 398 | |
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399 | 399 | if online: |
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400 | 400 | # self.__thisUnixSample = int(endUTCSecond*self.__sample_rate - 4*self.__samples_to_read) |
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401 | 401 | startUTCSecond = numpy.floor(endUTCSecond) |
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402 | 402 | |
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403 | 403 | # por que en el otro metodo lo primero q se hace es sumar samplestoread |
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404 | 404 | self.__thisUnixSample = int(startUTCSecond * self.__sample_rate) - self.__samples_to_read |
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405 | 405 | |
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406 | 406 | self.__data_buffer = numpy.zeros( |
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407 |
(self.__num_subchannels, self.__samples_to_read), dtype= |
|
|
407 | (self.__num_subchannels, self.__samples_to_read), dtype=complex) | |
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408 | 408 | |
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409 | 409 | self.__setFileHeader() |
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410 | 410 | self.isConfig = True |
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411 | 411 | |
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412 | 412 | print("[Reading] Digital RF Data was found from %s to %s " % ( |
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413 | 413 | datetime.datetime.utcfromtimestamp( |
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414 | 414 | self.__startUTCSecond - self.__timezone), |
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415 | 415 | datetime.datetime.utcfromtimestamp( |
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416 | 416 | self.__endUTCSecond - self.__timezone) |
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417 | 417 | )) |
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418 | 418 | |
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419 | 419 | print("[Reading] Starting process from %s to %s" % (datetime.datetime.utcfromtimestamp(startUTCSecond - self.__timezone), |
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420 | 420 | datetime.datetime.utcfromtimestamp( |
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421 | 421 | endUTCSecond - self.__timezone) |
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422 | 422 | )) |
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423 | 423 | self.oldAverage = None |
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424 | 424 | self.count = 0 |
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425 | 425 | self.executionTime = 0 |
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426 | 426 | |
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427 | 427 | def __reload(self): |
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428 | 428 | |
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429 | 429 | # print "%s not in range [%s, %s]" %( |
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430 | 430 | # datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), |
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431 | 431 | # datetime.datetime.utcfromtimestamp(self.__startUTCSecond - self.__timezone), |
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432 | 432 | # datetime.datetime.utcfromtimestamp(self.__endUTCSecond - self.__timezone) |
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433 | 433 | # ) |
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434 | 434 | print("[Reading] reloading metadata ...") |
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435 | 435 | |
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436 | 436 | try: |
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437 | 437 | self.digitalReadObj.reload(complete_update=True) |
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438 | 438 | except: |
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439 | 439 | self.digitalReadObj = digital_rf.DigitalRFReader(self.path) |
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440 | 440 | |
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441 | 441 | start_index, end_index = self.digitalReadObj.get_bounds( |
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442 | 442 | self.__channelNameList[self.__channelList[0]]) |
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443 | 443 | |
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444 | 444 | if start_index > self.__startUTCSecond * self.__sample_rate: |
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445 | 445 | self.__startUTCSecond = 1.0 * start_index / self.__sample_rate |
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446 | 446 | |
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447 | 447 | if end_index > self.__endUTCSecond * self.__sample_rate: |
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448 | 448 | self.__endUTCSecond = 1.0 * end_index / self.__sample_rate |
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449 | 449 | print() |
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450 | 450 | print("[Reading] New timerange found [%s, %s] " % ( |
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451 | 451 | datetime.datetime.utcfromtimestamp( |
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452 | 452 | self.__startUTCSecond - self.__timezone), |
|
453 | 453 | datetime.datetime.utcfromtimestamp( |
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454 | 454 | self.__endUTCSecond - self.__timezone) |
|
455 | 455 | )) |
|
456 | 456 | |
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457 | 457 | return True |
|
458 | 458 | |
|
459 | 459 | return False |
|
460 | 460 | |
|
461 | 461 | def timeit(self, toExecute): |
|
462 | 462 | t0 = time.time() |
|
463 | 463 | toExecute() |
|
464 | 464 | self.executionTime = time.time() - t0 |
|
465 | 465 | if self.oldAverage is None: |
|
466 | 466 | self.oldAverage = self.executionTime |
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467 | 467 | self.oldAverage = (self.executionTime + self.count * |
|
468 | 468 | self.oldAverage) / (self.count + 1.0) |
|
469 | 469 | self.count = self.count + 1.0 |
|
470 | 470 | return |
|
471 | 471 | |
|
472 | 472 | def __readNextBlock(self, seconds=30, volt_scale=1): |
|
473 | 473 | ''' |
|
474 | 474 | ''' |
|
475 | 475 | |
|
476 | 476 | # Set the next data |
|
477 | 477 | self.__flagDiscontinuousBlock = False |
|
478 | 478 | self.__thisUnixSample += self.__samples_to_read |
|
479 | 479 | |
|
480 | 480 | if self.__thisUnixSample + 2 * self.__samples_to_read > self.__endUTCSecond * self.__sample_rate: |
|
481 | 481 | print ("[Reading] There are no more data into selected time-range") |
|
482 | 482 | if self.__online: |
|
483 | 483 | sleep(3) |
|
484 | 484 | self.__reload() |
|
485 | 485 | else: |
|
486 | 486 | return False |
|
487 | 487 | |
|
488 | 488 | if self.__thisUnixSample + 2 * self.__samples_to_read > self.__endUTCSecond * self.__sample_rate: |
|
489 | 489 | return False |
|
490 | 490 | self.__thisUnixSample -= self.__samples_to_read |
|
491 | 491 | |
|
492 | 492 | indexChannel = 0 |
|
493 | 493 | |
|
494 | 494 | dataOk = False |
|
495 | 495 | |
|
496 | 496 | for thisChannelName in self.__channelNameList: # TODO VARIOS CHANNELS? |
|
497 | 497 | for indexSubchannel in range(self.__num_subchannels): |
|
498 | 498 | try: |
|
499 | 499 | t0 = time() |
|
500 | 500 | result = self.digitalReadObj.read_vector_c81d(self.__thisUnixSample, |
|
501 | 501 | self.__samples_to_read, |
|
502 | 502 | thisChannelName, sub_channel=indexSubchannel) |
|
503 | 503 | self.executionTime = time() - t0 |
|
504 | 504 | if self.oldAverage is None: |
|
505 | 505 | self.oldAverage = self.executionTime |
|
506 | 506 | self.oldAverage = ( |
|
507 | 507 | self.executionTime + self.count * self.oldAverage) / (self.count + 1.0) |
|
508 | 508 | self.count = self.count + 1.0 |
|
509 | 509 | |
|
510 | 510 | except IOError as e: |
|
511 | 511 | # read next profile |
|
512 | 512 | self.__flagDiscontinuousBlock = True |
|
513 | 513 | print("[Reading] %s" % datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), e) |
|
514 | 514 | break |
|
515 | 515 | |
|
516 | 516 | if result.shape[0] != self.__samples_to_read: |
|
517 | 517 | self.__flagDiscontinuousBlock = True |
|
518 | 518 | print("[Reading] %s: Too few samples were found, just %d/%d samples" % (datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), |
|
519 | 519 | result.shape[0], |
|
520 | 520 | self.__samples_to_read)) |
|
521 | 521 | break |
|
522 | 522 | |
|
523 | 523 | self.__data_buffer[indexSubchannel, :] = result * volt_scale |
|
524 | 524 | indexChannel += 1 |
|
525 | 525 | |
|
526 | 526 | dataOk = True |
|
527 | 527 | |
|
528 | 528 | self.__utctime = self.__thisUnixSample / self.__sample_rate |
|
529 | 529 | |
|
530 | 530 | if not dataOk: |
|
531 | 531 | return False |
|
532 | 532 | |
|
533 | 533 | print("[Reading] %s: %d samples <> %f sec" % (datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), |
|
534 | 534 | self.__samples_to_read, |
|
535 | 535 | self.__timeInterval)) |
|
536 | 536 | |
|
537 | 537 | self.__bufferIndex = 0 |
|
538 | 538 | |
|
539 | 539 | return True |
|
540 | 540 | |
|
541 | 541 | def __isBufferEmpty(self): |
|
542 | 542 | return self.__bufferIndex > self.__samples_to_read - self.__nSamples # 40960 - 40 |
|
543 | 543 | |
|
544 | 544 | def getData(self, seconds=30, nTries=5): |
|
545 | 545 | ''' |
|
546 | 546 | This method gets the data from files and put the data into the dataOut object |
|
547 | 547 | |
|
548 | 548 | In addition, increase el the buffer counter in one. |
|
549 | 549 | |
|
550 | 550 | Return: |
|
551 | 551 | data : retorna un perfil de voltages (alturas * canales) copiados desde el |
|
552 | 552 | buffer. Si no hay mas archivos a leer retorna None. |
|
553 | 553 | |
|
554 | 554 | Affected: |
|
555 | 555 | self.dataOut |
|
556 | 556 | self.profileIndex |
|
557 | 557 | self.flagDiscontinuousBlock |
|
558 | 558 | self.flagIsNewBlock |
|
559 | 559 | ''' |
|
560 | 560 | # print("getdata") |
|
561 | 561 | err_counter = 0 |
|
562 | 562 | self.dataOut.flagNoData = True |
|
563 | 563 | |
|
564 | 564 | if self.__isBufferEmpty(): |
|
565 | 565 | # print("hi") |
|
566 | 566 | self.__flagDiscontinuousBlock = False |
|
567 | 567 | |
|
568 | 568 | while True: |
|
569 | 569 | # print ("q ha pasado") |
|
570 | 570 | if self.__readNextBlock(): |
|
571 | 571 | break |
|
572 | 572 | if self.__thisUnixSample > self.__endUTCSecond * self.__sample_rate: |
|
573 | 573 | raise schainpy.admin.SchainError('Error') |
|
574 | 574 | return |
|
575 | 575 | |
|
576 | 576 | if self.__flagDiscontinuousBlock: |
|
577 | 577 | raise schainpy.admin.SchainError('discontinuous block found') |
|
578 | 578 | return |
|
579 | 579 | |
|
580 | 580 | if not self.__online: |
|
581 | 581 | raise schainpy.admin.SchainError('Online?') |
|
582 | 582 | return |
|
583 | 583 | |
|
584 | 584 | err_counter += 1 |
|
585 | 585 | if err_counter > nTries: |
|
586 | 586 | raise schainpy.admin.SchainError('Max retrys reach') |
|
587 | 587 | return |
|
588 | 588 | |
|
589 | 589 | print('[Reading] waiting %d seconds to read a new block' % seconds) |
|
590 | 590 | time.sleep(seconds) |
|
591 | 591 | |
|
592 | 592 | self.dataOut.data = self.__data_buffer[:, self.__bufferIndex:self.__bufferIndex + self.__nSamples] |
|
593 | 593 | self.dataOut.utctime = (self.__thisUnixSample + self.__bufferIndex) / self.__sample_rate |
|
594 | 594 | self.dataOut.flagNoData = False |
|
595 | 595 | self.dataOut.flagDiscontinuousBlock = self.__flagDiscontinuousBlock |
|
596 | 596 | self.dataOut.profileIndex = self.profileIndex |
|
597 | 597 | |
|
598 | 598 | self.__bufferIndex += self.__nSamples |
|
599 | 599 | self.profileIndex += 1 |
|
600 | 600 | |
|
601 | 601 | if self.profileIndex == self.dataOut.nProfiles: |
|
602 | 602 | self.profileIndex = 0 |
|
603 | 603 | |
|
604 | 604 | return True |
|
605 | 605 | |
|
606 | 606 | def printInfo(self): |
|
607 | 607 | ''' |
|
608 | 608 | ''' |
|
609 | 609 | if self.__printInfo == False: |
|
610 | 610 | return |
|
611 | 611 | |
|
612 | 612 | # self.systemHeaderObj.printInfo() |
|
613 | 613 | # self.radarControllerHeaderObj.printInfo() |
|
614 | 614 | |
|
615 | 615 | self.__printInfo = False |
|
616 | 616 | |
|
617 | 617 | def printNumberOfBlock(self): |
|
618 | 618 | ''' |
|
619 | 619 | ''' |
|
620 | 620 | return |
|
621 | 621 | # print self.profileIndex |
|
622 | 622 | |
|
623 | 623 | def run(self, **kwargs): |
|
624 | 624 | ''' |
|
625 | 625 | This method will be called many times so here you should put all your code |
|
626 | 626 | ''' |
|
627 | 627 | |
|
628 | 628 | if not self.isConfig: |
|
629 | 629 | self.setup(**kwargs) |
|
630 | 630 | # self.i = self.i+1 |
|
631 | 631 | self.getData(seconds=self.__delay) |
|
632 | 632 | |
|
633 | 633 | return |
|
634 | 634 | |
|
635 | 635 | @MPDecorator |
|
636 | 636 | class DigitalRFWriter(Operation): |
|
637 | 637 | ''' |
|
638 | 638 | classdocs |
|
639 | 639 | ''' |
|
640 | 640 | |
|
641 | 641 | def __init__(self, **kwargs): |
|
642 | 642 | ''' |
|
643 | 643 | Constructor |
|
644 | 644 | ''' |
|
645 | 645 | Operation.__init__(self, **kwargs) |
|
646 | 646 | self.metadata_dict = {} |
|
647 | 647 | self.dataOut = None |
|
648 | 648 | self.dtype = None |
|
649 | 649 | self.oldAverage = 0 |
|
650 | 650 | |
|
651 | 651 | def setHeader(self): |
|
652 | 652 | |
|
653 | 653 | self.metadata_dict['frequency'] = self.dataOut.frequency |
|
654 | 654 | self.metadata_dict['timezone'] = self.dataOut.timeZone |
|
655 | 655 | self.metadata_dict['dtype'] = pickle.dumps(self.dataOut.dtype) |
|
656 | 656 | self.metadata_dict['nProfiles'] = self.dataOut.nProfiles |
|
657 | 657 | self.metadata_dict['heightList'] = self.dataOut.heightList |
|
658 | 658 | self.metadata_dict['channelList'] = self.dataOut.channelList |
|
659 | 659 | self.metadata_dict['flagDecodeData'] = self.dataOut.flagDecodeData |
|
660 | 660 | self.metadata_dict['flagDeflipData'] = self.dataOut.flagDeflipData |
|
661 | 661 | self.metadata_dict['flagShiftFFT'] = self.dataOut.flagShiftFFT |
|
662 | 662 | self.metadata_dict['useLocalTime'] = self.dataOut.useLocalTime |
|
663 | 663 | self.metadata_dict['nCohInt'] = self.dataOut.nCohInt |
|
664 | 664 | self.metadata_dict['type'] = self.dataOut.type |
|
665 | 665 | self.metadata_dict['flagDataAsBlock'] = getattr( |
|
666 | 666 | self.dataOut, 'flagDataAsBlock', None) # chequear |
|
667 | 667 | |
|
668 | 668 | def setup(self, dataOut, path, frequency, fileCadence, dirCadence, metadataCadence, set=0, metadataFile='metadata', ext='.h5'): |
|
669 | 669 | ''' |
|
670 | 670 | In this method we should set all initial parameters. |
|
671 | 671 | Input: |
|
672 | 672 | dataOut: Input data will also be outputa data |
|
673 | 673 | ''' |
|
674 | 674 | self.setHeader() |
|
675 | 675 | self.__ippSeconds = dataOut.ippSeconds |
|
676 | 676 | self.__deltaH = dataOut.getDeltaH() |
|
677 | 677 | self.__sample_rate = 1e6 * 0.15 / self.__deltaH |
|
678 | 678 | self.__dtype = dataOut.dtype |
|
679 | 679 | if len(dataOut.dtype) == 2: |
|
680 | 680 | self.__dtype = dataOut.dtype[0] |
|
681 | 681 | self.__nSamples = dataOut.systemHeaderObj.nSamples |
|
682 | 682 | self.__nProfiles = dataOut.nProfiles |
|
683 | 683 | |
|
684 | 684 | if self.dataOut.type != 'Voltage': |
|
685 | 685 | raise 'Digital RF cannot be used with this data type' |
|
686 | 686 | self.arr_data = numpy.ones((1, dataOut.nFFTPoints * len( |
|
687 | 687 | self.dataOut.channelList)), dtype=[('r', self.__dtype), ('i', self.__dtype)]) |
|
688 | 688 | else: |
|
689 | 689 | self.arr_data = numpy.ones((self.__nSamples, len( |
|
690 | 690 | self.dataOut.channelList)), dtype=[('r', self.__dtype), ('i', self.__dtype)]) |
|
691 | 691 | |
|
692 | 692 | file_cadence_millisecs = 1000 |
|
693 | 693 | |
|
694 | 694 | sample_rate_fraction = Fraction(self.__sample_rate).limit_denominator() |
|
695 | 695 | sample_rate_numerator = int(sample_rate_fraction.numerator) |
|
696 | 696 | sample_rate_denominator = int(sample_rate_fraction.denominator) |
|
697 | 697 | start_global_index = dataOut.utctime * self.__sample_rate |
|
698 | 698 | |
|
699 | 699 | uuid = 'prueba' |
|
700 | 700 | compression_level = 0 |
|
701 | 701 | checksum = False |
|
702 | 702 | is_complex = True |
|
703 | 703 | num_subchannels = len(dataOut.channelList) |
|
704 | 704 | is_continuous = True |
|
705 | 705 | marching_periods = False |
|
706 | 706 | |
|
707 | 707 | self.digitalWriteObj = digital_rf.DigitalRFWriter(path, self.__dtype, dirCadence, |
|
708 | 708 | fileCadence, start_global_index, |
|
709 | 709 | sample_rate_numerator, sample_rate_denominator, uuid, compression_level, checksum, |
|
710 | 710 | is_complex, num_subchannels, is_continuous, marching_periods) |
|
711 | 711 | metadata_dir = os.path.join(path, 'metadata') |
|
712 | 712 | os.system('mkdir %s' % (metadata_dir)) |
|
713 | 713 | self.digitalMetadataWriteObj = digital_rf.DigitalMetadataWriter(metadata_dir, dirCadence, 1, # 236, file_cadence_millisecs / 1000 |
|
714 | 714 | sample_rate_numerator, sample_rate_denominator, |
|
715 | 715 | metadataFile) |
|
716 | 716 | self.isConfig = True |
|
717 | 717 | self.currentSample = 0 |
|
718 | 718 | self.oldAverage = 0 |
|
719 | 719 | self.count = 0 |
|
720 | 720 | return |
|
721 | 721 | |
|
722 | 722 | def writeMetadata(self): |
|
723 | 723 | start_idx = self.__sample_rate * self.dataOut.utctime |
|
724 | 724 | |
|
725 | 725 | self.metadata_dict['processingHeader'] = self.dataOut.processingHeaderObj.getAsDict( |
|
726 | 726 | ) |
|
727 | 727 | self.metadata_dict['radarControllerHeader'] = self.dataOut.radarControllerHeaderObj.getAsDict( |
|
728 | 728 | ) |
|
729 | 729 | self.metadata_dict['systemHeader'] = self.dataOut.systemHeaderObj.getAsDict( |
|
730 | 730 | ) |
|
731 | 731 | self.digitalMetadataWriteObj.write(start_idx, self.metadata_dict) |
|
732 | 732 | return |
|
733 | 733 | |
|
734 | 734 | def timeit(self, toExecute): |
|
735 | 735 | t0 = time() |
|
736 | 736 | toExecute() |
|
737 | 737 | self.executionTime = time() - t0 |
|
738 | 738 | if self.oldAverage is None: |
|
739 | 739 | self.oldAverage = self.executionTime |
|
740 | 740 | self.oldAverage = (self.executionTime + self.count * |
|
741 | 741 | self.oldAverage) / (self.count + 1.0) |
|
742 | 742 | self.count = self.count + 1.0 |
|
743 | 743 | return |
|
744 | 744 | |
|
745 | 745 | def writeData(self): |
|
746 | 746 | if self.dataOut.type != 'Voltage': |
|
747 | 747 | raise 'Digital RF cannot be used with this data type' |
|
748 | 748 | for channel in self.dataOut.channelList: |
|
749 | 749 | for i in range(self.dataOut.nFFTPoints): |
|
750 | 750 | self.arr_data[1][channel * self.dataOut.nFFTPoints + |
|
751 | 751 | i]['r'] = self.dataOut.data[channel][i].real |
|
752 | 752 | self.arr_data[1][channel * self.dataOut.nFFTPoints + |
|
753 | 753 | i]['i'] = self.dataOut.data[channel][i].imag |
|
754 | 754 | else: |
|
755 | 755 | for i in range(self.dataOut.systemHeaderObj.nSamples): |
|
756 | 756 | for channel in self.dataOut.channelList: |
|
757 | 757 | self.arr_data[i][channel]['r'] = self.dataOut.data[channel][i].real |
|
758 | 758 | self.arr_data[i][channel]['i'] = self.dataOut.data[channel][i].imag |
|
759 | 759 | |
|
760 | 760 | def f(): return self.digitalWriteObj.rf_write(self.arr_data) |
|
761 | 761 | self.timeit(f) |
|
762 | 762 | |
|
763 | 763 | return |
|
764 | 764 | |
|
765 | 765 | def run(self, dataOut, frequency=49.92e6, path=None, fileCadence=1000, dirCadence=36000, metadataCadence=1, **kwargs): |
|
766 | 766 | ''' |
|
767 | 767 | This method will be called many times so here you should put all your code |
|
768 | 768 | Inputs: |
|
769 | 769 | dataOut: object with the data |
|
770 | 770 | ''' |
|
771 | 771 | # print dataOut.__dict__ |
|
772 | 772 | self.dataOut = dataOut |
|
773 | 773 | if not self.isConfig: |
|
774 | 774 | self.setup(dataOut, path, frequency, fileCadence, |
|
775 | 775 | dirCadence, metadataCadence, **kwargs) |
|
776 | 776 | self.writeMetadata() |
|
777 | 777 | |
|
778 | 778 | self.writeData() |
|
779 | 779 | |
|
780 | 780 | # # self.currentSample += 1 |
|
781 | 781 | # if self.dataOut.flagDataAsBlock or self.currentSample == 1: |
|
782 | 782 | # self.writeMetadata() |
|
783 | 783 | # # if self.currentSample == self.__nProfiles: self.currentSample = 0 |
|
784 | 784 | |
|
785 | 785 | return dataOut # en la version 2.7 no aparece este return |
|
786 | 786 | |
|
787 | 787 | def close(self): |
|
788 | 788 | print('[Writing] - Closing files ') |
|
789 | 789 | print('Average of writing to digital rf format is ', self.oldAverage * 1000) |
|
790 | 790 | try: |
|
791 | 791 | self.digitalWriteObj.close() |
|
792 | 792 | except: |
|
793 | 793 | pass |
@@ -1,862 +1,862 | |||
|
1 | 1 | ''' |
|
2 | 2 | Created on Jul 3, 2014 |
|
3 | 3 | |
|
4 | 4 | @author: roj-com0419 |
|
5 | 5 | ''' |
|
6 | 6 | |
|
7 | 7 | import os, sys |
|
8 | 8 | import time, datetime |
|
9 | 9 | import h5py |
|
10 | 10 | import numpy |
|
11 | 11 | import fnmatch |
|
12 | 12 | import re |
|
13 | 13 | |
|
14 | 14 | from schainpy.model.data.jroheaderIO import RadarControllerHeader, SystemHeader |
|
15 | 15 | from schainpy.model.data.jrodata import Voltage |
|
16 | 16 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
17 | 17 | |
|
18 | 18 | |
|
19 | 19 | def isNumber(str): |
|
20 | 20 | """ |
|
21 | 21 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
22 | 22 | |
|
23 | 23 | Excepciones: |
|
24 | 24 | Si un determinado string no puede ser convertido a numero |
|
25 | 25 | Input: |
|
26 | 26 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
27 | 27 | |
|
28 | 28 | Return: |
|
29 | 29 | True : si el string es uno numerico |
|
30 | 30 | False : no es un string numerico |
|
31 | 31 | """ |
|
32 | 32 | try: |
|
33 | 33 | float(str) |
|
34 | 34 | return True |
|
35 | 35 | except: |
|
36 | 36 | return False |
|
37 | 37 | |
|
38 | 38 | def getFileFromSet(path, ext, set=None): |
|
39 | 39 | validFilelist = [] |
|
40 | 40 | fileList = os.listdir(path) |
|
41 | 41 | |
|
42 | 42 | |
|
43 | 43 | if len(fileList) < 1: |
|
44 | 44 | return None |
|
45 | 45 | |
|
46 | 46 | # 0 1234 567 89A BCDE |
|
47 | 47 | # H YYYY DDD SSS .ext |
|
48 | 48 | |
|
49 | 49 | for thisFile in fileList: |
|
50 | 50 | try: |
|
51 | 51 | number = int(thisFile[6:16]) |
|
52 | 52 | |
|
53 | 53 | # year = int(thisFile[1:5]) |
|
54 | 54 | # doy = int(thisFile[5:8]) |
|
55 | 55 | except: |
|
56 | 56 | continue |
|
57 | 57 | |
|
58 | 58 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
59 | 59 | continue |
|
60 | 60 | |
|
61 | 61 | validFilelist.append(thisFile) |
|
62 | 62 | |
|
63 | 63 | if len(validFilelist) < 1: |
|
64 | 64 | return None |
|
65 | 65 | |
|
66 | 66 | validFilelist = sorted(validFilelist, key=str.lower) |
|
67 | 67 | |
|
68 | 68 | if set == None: |
|
69 | 69 | return validFilelist[-1] |
|
70 | 70 | |
|
71 | 71 | print("set =" , set) |
|
72 | 72 | for thisFile in validFilelist: |
|
73 | 73 | if set <= int(thisFile[6:16]): |
|
74 | 74 | print(thisFile, int(thisFile[6:16])) |
|
75 | 75 | return thisFile |
|
76 | 76 | |
|
77 | 77 | return validFilelist[-1] |
|
78 | 78 | |
|
79 | 79 | myfile = fnmatch.filter(validFilelist, '*%10d*' % (set)) |
|
80 | 80 | # myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set)) |
|
81 | 81 | |
|
82 | 82 | if len(myfile) != 0: |
|
83 | 83 | return myfile[0] |
|
84 | 84 | else: |
|
85 | 85 | filename = '*%10.10d%s' % (set, ext.lower()) |
|
86 | 86 | print('the filename %s does not exist' % filename) |
|
87 | 87 | print('...going to the last file: ') |
|
88 | 88 | |
|
89 | 89 | if validFilelist: |
|
90 | 90 | validFilelist = sorted(validFilelist, key=str.lower) |
|
91 | 91 | return validFilelist[-1] |
|
92 | 92 | |
|
93 | 93 | return None |
|
94 | 94 | |
|
95 | 95 | def getlastFileFromPath(path, ext): |
|
96 | 96 | """ |
|
97 | 97 | Depura el fileList dejando solo los que cumplan el formato de "res-xxxxxx.ext" |
|
98 | 98 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
99 | 99 | |
|
100 | 100 | Input: |
|
101 | 101 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
102 | 102 | ext : extension de los files contenidos en una carpeta |
|
103 | 103 | |
|
104 | 104 | Return: |
|
105 | 105 | El ultimo file de una determinada carpeta, no se considera el path. |
|
106 | 106 | """ |
|
107 | 107 | validFilelist = [] |
|
108 | 108 | fileList = os.listdir(path) |
|
109 | 109 | |
|
110 | 110 | # 0 1234 567 89A BCDE |
|
111 | 111 | # H YYYY DDD SSS .ext |
|
112 | 112 | |
|
113 | 113 | for thisFile in fileList: |
|
114 | 114 | |
|
115 | 115 | try: |
|
116 | 116 | number = int(thisFile[6:16]) |
|
117 | 117 | except: |
|
118 | 118 | print("There is a file or folder with different format") |
|
119 | 119 | if not isNumber(number): |
|
120 | 120 | continue |
|
121 | 121 | |
|
122 | 122 | # year = thisFile[1:5] |
|
123 | 123 | # if not isNumber(year): |
|
124 | 124 | # continue |
|
125 | 125 | |
|
126 | 126 | # doy = thisFile[5:8] |
|
127 | 127 | # if not isNumber(doy): |
|
128 | 128 | # continue |
|
129 | 129 | |
|
130 | 130 | number = int(number) |
|
131 | 131 | # year = int(year) |
|
132 | 132 | # doy = int(doy) |
|
133 | 133 | |
|
134 | 134 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
135 | 135 | continue |
|
136 | 136 | |
|
137 | 137 | |
|
138 | 138 | validFilelist.append(thisFile) |
|
139 | 139 | |
|
140 | 140 | |
|
141 | 141 | if validFilelist: |
|
142 | 142 | validFilelist = sorted(validFilelist, key=str.lower) |
|
143 | 143 | return validFilelist[-1] |
|
144 | 144 | |
|
145 | 145 | return None |
|
146 | 146 | |
|
147 | 147 | |
|
148 | 148 | |
|
149 | 149 | class HFReader(ProcessingUnit): |
|
150 | 150 | ''' |
|
151 | 151 | classdocs |
|
152 | 152 | ''' |
|
153 | 153 | path = None |
|
154 | 154 | startDate = None |
|
155 | 155 | endDate = None |
|
156 | 156 | startTime = None |
|
157 | 157 | endTime = None |
|
158 | 158 | walk = None |
|
159 | 159 | isConfig = False |
|
160 | 160 | dataOut = None |
|
161 | 161 | nTries = 3 |
|
162 | 162 | ext = ".hdf5" |
|
163 | 163 | |
|
164 | 164 | def __init__(self, **kwargs): |
|
165 | 165 | ''' |
|
166 | 166 | Constructor |
|
167 | 167 | ''' |
|
168 | 168 | ProcessingUnit.__init__(self, **kwargs) |
|
169 | 169 | |
|
170 | 170 | self.isConfig = False |
|
171 | 171 | |
|
172 | 172 | self.datablock = None |
|
173 | 173 | |
|
174 | 174 | self.filename_current = None |
|
175 | 175 | |
|
176 | 176 | self.utc = 0 |
|
177 | 177 | |
|
178 | 178 | self.ext = '.hdf5' |
|
179 | 179 | |
|
180 | 180 | self.flagIsNewFile = 1 |
|
181 | 181 | |
|
182 | 182 | #------------------------------------------------- |
|
183 | 183 | self.fileIndex = None |
|
184 | 184 | |
|
185 | 185 | self.profileIndex_offset = None |
|
186 | 186 | |
|
187 | 187 | self.filenameList = [] |
|
188 | 188 | |
|
189 | 189 | self.hfFilePointer = None |
|
190 | 190 | |
|
191 | 191 | self.filename_online = None |
|
192 | 192 | |
|
193 | 193 | self.status = True |
|
194 | 194 | |
|
195 | 195 | self.flagNoMoreFiles = False |
|
196 | 196 | |
|
197 | 197 | self.__waitForNewFile = 20 |
|
198 | 198 | |
|
199 | 199 | |
|
200 | 200 | #-------------------------------------------------- |
|
201 | 201 | |
|
202 | 202 | self.dataOut = self.createObjByDefault() |
|
203 | 203 | |
|
204 | 204 | |
|
205 | 205 | def createObjByDefault(self): |
|
206 | 206 | |
|
207 | 207 | dataObj = Voltage() |
|
208 | 208 | |
|
209 | 209 | return dataObj |
|
210 | 210 | |
|
211 | 211 | def setObjProperties(self): |
|
212 | 212 | |
|
213 | 213 | pass |
|
214 | 214 | |
|
215 | 215 | def getBlockDimension(self): |
|
216 | 216 | """ |
|
217 | 217 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
218 | 218 | |
|
219 | 219 | Affected: |
|
220 | 220 | self.blocksize |
|
221 | 221 | |
|
222 | 222 | Return: |
|
223 | 223 | None |
|
224 | 224 | """ |
|
225 | 225 | pts2read = self.nChannels * self.nHeights * self.nProfiles |
|
226 | 226 | self.blocksize = pts2read |
|
227 | 227 | |
|
228 | 228 | def __readHeader(self): |
|
229 | 229 | |
|
230 | 230 | self.nProfiles = 100 |
|
231 | 231 | self.nHeights = 1000 |
|
232 | 232 | self.nChannels = 2 |
|
233 | 233 | self.__firstHeigth = 0 |
|
234 | 234 | self.__nSamples = 1000 |
|
235 | 235 | self.__deltaHeigth = 1.5 |
|
236 | 236 | self.__sample_rate = 1e5 |
|
237 | 237 | # self.__frequency=2.72e6 |
|
238 | 238 | # self.__frequency=3.64e6 |
|
239 | 239 | self.__frequency = None |
|
240 | 240 | self.__online = False |
|
241 | 241 | self.filename_next_set = None |
|
242 | 242 | |
|
243 | 243 | # print "Frequency of Operation:", self.__frequency |
|
244 | 244 | |
|
245 | 245 | |
|
246 | 246 | def __setParameters(self, path='', startDate='', endDate='', startTime='', endTime='', walk=''): |
|
247 | 247 | self.path = path |
|
248 | 248 | self.startDate = startDate |
|
249 | 249 | self.endDate = endDate |
|
250 | 250 | self.startTime = startTime |
|
251 | 251 | self.endTime = endTime |
|
252 | 252 | self.walk = walk |
|
253 | 253 | |
|
254 | 254 | def __checkPath(self): |
|
255 | 255 | if os.path.exists(self.path): |
|
256 | 256 | self.status = 1 |
|
257 | 257 | else: |
|
258 | 258 | self.status = 0 |
|
259 | 259 | print('Path %s does not exits' % self.path) |
|
260 | 260 | return |
|
261 | 261 | return |
|
262 | 262 | |
|
263 | 263 | def __selDates(self, hf_dirname_format): |
|
264 | 264 | try: |
|
265 | 265 | dir_hf_filename = self.path + "/" + hf_dirname_format |
|
266 | 266 | fp = h5py.File(dir_hf_filename, 'r') |
|
267 | 267 | hipoc = fp['t'].value |
|
268 | 268 | fp.close() |
|
269 | 269 | date_time = datetime.datetime.utcfromtimestamp(hipoc) |
|
270 | 270 | year = int(date_time[0:4]) |
|
271 | 271 | month = int(date_time[5:7]) |
|
272 | 272 | dom = int(date_time[8:10]) |
|
273 | 273 | thisDate = datetime.date(year, month, dom) |
|
274 | 274 | if (thisDate >= self.startDate and thisDate <= self.endDate): |
|
275 | 275 | return hf_dirname_format |
|
276 | 276 | except: |
|
277 | 277 | return None |
|
278 | 278 | |
|
279 | 279 | def __findDataForDates(self, online=False): |
|
280 | 280 | if not(self.status): |
|
281 | 281 | return None |
|
282 | 282 | |
|
283 | 283 | pat = '\d+.\d+' |
|
284 | 284 | dirnameList = [re.search(pat, x) for x in os.listdir(self.path)] |
|
285 | 285 | dirnameList = [x for x in dirnameList if x != None] |
|
286 | 286 | dirnameList = [x.string for x in dirnameList] |
|
287 | 287 | if not(online): |
|
288 | 288 | |
|
289 | 289 | dirnameList = [self.__selDates(x) for x in dirnameList] |
|
290 | 290 | dirnameList = [x for x in dirnameList if x != None] |
|
291 | 291 | |
|
292 | 292 | if len(dirnameList) > 0: |
|
293 | 293 | self.status = 1 |
|
294 | 294 | self.dirnameList = dirnameList |
|
295 | 295 | self.dirnameList.sort() |
|
296 | 296 | |
|
297 | 297 | else: |
|
298 | 298 | self.status = 0 |
|
299 | 299 | return None |
|
300 | 300 | |
|
301 | 301 | def __getTimeFromData(self): |
|
302 | 302 | startDateTime_Reader = datetime.datetime.combine(self.startDate, self.startTime) |
|
303 | 303 | endDateTime_Reader = datetime.datetime.combine(self.endDate, self.endTime) |
|
304 | 304 | print('Filtering Files from %s to %s' % (startDateTime_Reader, endDateTime_Reader)) |
|
305 | 305 | print('........................................') |
|
306 | 306 | filter_filenameList = [] |
|
307 | 307 | self.filenameList.sort() |
|
308 | 308 | for i in range(len(self.filenameList) - 1): |
|
309 | 309 | filename = self.filenameList[i] |
|
310 | 310 | dir_hf_filename = filename |
|
311 | 311 | fp = h5py.File(dir_hf_filename, 'r') |
|
312 | 312 | hipoc = fp['t'].value |
|
313 | 313 | hipoc = hipoc + self.timezone |
|
314 | 314 | date_time = datetime.datetime.utcfromtimestamp(hipoc) |
|
315 | 315 | fp.close() |
|
316 | 316 | year = int(date_time[0:4]) |
|
317 | 317 | month = int(date_time[5:7]) |
|
318 | 318 | dom = int(date_time[8:10]) |
|
319 | 319 | hour = int(date_time[11:13]) |
|
320 | 320 | min = int(date_time[14:16]) |
|
321 | 321 | sec = int(date_time[17:19]) |
|
322 | 322 | this_time = datetime.datetime(year, month, dom, hour, min, sec) |
|
323 | 323 | if (this_time >= startDateTime_Reader and this_time <= endDateTime_Reader): |
|
324 | 324 | filter_filenameList.append(filename) |
|
325 | 325 | filter_filenameList.sort() |
|
326 | 326 | self.filenameList = filter_filenameList |
|
327 | 327 | return 1 |
|
328 | 328 | |
|
329 | 329 | def __getFilenameList(self): |
|
330 | 330 | # print "hola" |
|
331 | 331 | # print self.dirnameList |
|
332 | 332 | dirList = [os.path.join(self.path, x) for x in self.dirnameList] |
|
333 | 333 | self.filenameList = dirList |
|
334 | 334 | # print self.filenameList |
|
335 | 335 | # print "pase",len(self.filenameList) |
|
336 | 336 | |
|
337 | 337 | def __selectDataForTimes(self, online=False): |
|
338 | 338 | |
|
339 | 339 | if not(self.status): |
|
340 | 340 | return None |
|
341 | 341 | #---------------- |
|
342 | 342 | self.__getFilenameList() |
|
343 | 343 | #---------------- |
|
344 | 344 | if not(online): |
|
345 | 345 | if not(self.all): |
|
346 | 346 | self.__getTimeFromData() |
|
347 | 347 | if len(self.filenameList) > 0: |
|
348 | 348 | self.status = 1 |
|
349 | 349 | self.filenameList.sort() |
|
350 | 350 | else: |
|
351 | 351 | self.status = 0 |
|
352 | 352 | return None |
|
353 | 353 | else: |
|
354 | 354 | if self.set != None: |
|
355 | 355 | |
|
356 | 356 | filename = getFileFromSet(self.path, self.ext, self.set) |
|
357 | 357 | |
|
358 | 358 | if self.flag_nextfile == True: |
|
359 | 359 | self.dirnameList = [filename] |
|
360 | 360 | fullfilename = self.path + "/" + filename |
|
361 | 361 | self.filenameList = [fullfilename] |
|
362 | 362 | self.filename_next_set = int(filename[6:16]) + 10 |
|
363 | 363 | |
|
364 | 364 | self.flag_nextfile = False |
|
365 | 365 | else: |
|
366 | 366 | print(filename) |
|
367 | 367 | print("PRIMERA CONDICION") |
|
368 | 368 | # if self.filename_next_set== int(filename[6:16]): |
|
369 | 369 | print("TODO BIEN") |
|
370 | 370 | |
|
371 | 371 | if filename == None: |
|
372 | 372 | raise ValueError("corregir") |
|
373 | 373 | |
|
374 | 374 | self.dirnameList = [filename] |
|
375 | 375 | fullfilename = self.path + "/" + filename |
|
376 | 376 | self.filenameList = [fullfilename] |
|
377 | 377 | self.filename_next_set = int(filename[6:16]) + 10 |
|
378 | 378 | print("Setting next file", self.filename_next_set) |
|
379 | 379 | self.set = int(filename[6:16]) |
|
380 | 380 | if True: |
|
381 | 381 | pass |
|
382 | 382 | else: |
|
383 | 383 | print("ESTOY AQUI PORQUE NO EXISTE EL SIGUIENTE ARCHIVO") |
|
384 | 384 | |
|
385 | 385 | else: |
|
386 | 386 | filename = getlastFileFromPath(self.path, self.ext) |
|
387 | 387 | |
|
388 | 388 | if self.flag_nextfile == True: |
|
389 | 389 | self.dirnameList = [filename] |
|
390 | 390 | fullfilename = self.path + "/" + filename |
|
391 | 391 | self.filenameList = [self.filenameList[-1]] |
|
392 | 392 | self.filename_next_set = int(filename[6:16]) + 10 |
|
393 | 393 | |
|
394 | 394 | self.flag_nextfile = False |
|
395 | 395 | else: |
|
396 | 396 | filename = getFileFromSet(self.path, self.ext, self.set) |
|
397 | 397 | print(filename) |
|
398 | 398 | print("PRIMERA CONDICION") |
|
399 | 399 | # if self.filename_next_set== int(filename[6:16]): |
|
400 | 400 | print("TODO BIEN") |
|
401 | 401 | |
|
402 | 402 | if filename == None: |
|
403 | 403 | raise ValueError("corregir") |
|
404 | 404 | |
|
405 | 405 | self.dirnameList = [filename] |
|
406 | 406 | fullfilename = self.path + "/" + filename |
|
407 | 407 | self.filenameList = [fullfilename] |
|
408 | 408 | self.filename_next_set = int(filename[6:16]) + 10 |
|
409 | 409 | print("Setting next file", self.filename_next_set) |
|
410 | 410 | self.set = int(filename[6:16]) |
|
411 | 411 | if True: |
|
412 | 412 | pass |
|
413 | 413 | else: |
|
414 | 414 | print("ESTOY AQUI PORQUE NO EXISTE EL SIGUIENTE ARCHIVO") |
|
415 | 415 | |
|
416 | 416 | |
|
417 | 417 | |
|
418 | 418 | def searchFilesOffLine(self, |
|
419 | 419 | path, |
|
420 | 420 | startDate, |
|
421 | 421 | endDate, |
|
422 | 422 | ext, |
|
423 | 423 | startTime=datetime.time(0, 0, 0), |
|
424 | 424 | endTime=datetime.time(23, 59, 59), |
|
425 | 425 | walk=True): |
|
426 | 426 | |
|
427 | 427 | self.__setParameters(path, startDate, endDate, startTime, endTime, walk) |
|
428 | 428 | |
|
429 | 429 | self.__checkPath() |
|
430 | 430 | |
|
431 | 431 | self.__findDataForDates() |
|
432 | 432 | # print self.dirnameList |
|
433 | 433 | |
|
434 | 434 | self.__selectDataForTimes() |
|
435 | 435 | |
|
436 | 436 | for i in range(len(self.filenameList)): |
|
437 | 437 | print("%s" % (self.filenameList[i])) |
|
438 | 438 | |
|
439 | 439 | return |
|
440 | 440 | |
|
441 | 441 | def searchFilesOnLine(self, |
|
442 | 442 | path, |
|
443 | 443 | expLabel="", |
|
444 | 444 | ext=None, |
|
445 | 445 | startDate=None, |
|
446 | 446 | endDate=None, |
|
447 | 447 | walk=True, |
|
448 | 448 | set=None): |
|
449 | 449 | |
|
450 | 450 | |
|
451 | 451 | startDate = datetime.datetime.utcnow().date() |
|
452 | 452 | endDate = datetime.datetime.utcnow().date() |
|
453 | 453 | |
|
454 | 454 | self.__setParameters(path=path, startDate=startDate, endDate=endDate, walk=walk) |
|
455 | 455 | |
|
456 | 456 | self.__checkPath() |
|
457 | 457 | |
|
458 | 458 | fullpath = path |
|
459 | 459 | print("%s folder was found: " % (fullpath)) |
|
460 | 460 | |
|
461 | 461 | if set == None: |
|
462 | 462 | self.set = None |
|
463 | 463 | filename = getlastFileFromPath(fullpath, ext) |
|
464 | 464 | startDate = datetime.datetime.utcnow().date |
|
465 | 465 | endDate = datetime.datetime.utcnow().date() |
|
466 | 466 | # |
|
467 | 467 | else: |
|
468 | 468 | filename = getFileFromSet(fullpath, ext, set) |
|
469 | 469 | startDate = None |
|
470 | 470 | endDate = None |
|
471 | 471 | # |
|
472 | 472 | if not (filename): |
|
473 | 473 | return None, None, None, None, None |
|
474 | 474 | # print "%s file was found" %(filename) |
|
475 | 475 | |
|
476 | 476 | # |
|
477 | 477 | # dir_hf_filename= self.path+"/"+filename |
|
478 | 478 | # fp= h5py.File(dir_hf_filename,'r') |
|
479 | 479 | # hipoc=fp['t'].value |
|
480 | 480 | # fp.close() |
|
481 | 481 | # date_time=datetime.datetime.utcfromtimestamp(hipoc) |
|
482 | 482 | # |
|
483 | 483 | # year =int(date_time[0:4]) |
|
484 | 484 | # month=int(date_time[5:7]) |
|
485 | 485 | # dom =int(date_time[8:10]) |
|
486 | 486 | # set= int(filename[4:10]) |
|
487 | 487 | # self.set=set-1 |
|
488 | 488 | # self.dirnameList=[filename] |
|
489 | 489 | filenameList = fullpath + "/" + filename |
|
490 | 490 | self.dirnameList = [filename] |
|
491 | 491 | self.filenameList = [filenameList] |
|
492 | 492 | self.flag_nextfile = True |
|
493 | 493 | |
|
494 | 494 | # self.__findDataForDates(online=True) |
|
495 | 495 | # self.dirnameList=[self.dirnameList[-1]] |
|
496 | 496 | # print self.dirnameList |
|
497 | 497 | # self.__selectDataForTimes(online=True) |
|
498 | 498 | # return fullpath,filename,year,month,dom,set |
|
499 | 499 | return |
|
500 | 500 | |
|
501 | 501 | def __setNextFile(self, online=False): |
|
502 | 502 | """ |
|
503 | 503 | """ |
|
504 | 504 | if not(online): |
|
505 | 505 | newFile = self.__setNextFileOffline() |
|
506 | 506 | else: |
|
507 | 507 | newFile = self.__setNextFileOnline() |
|
508 | 508 | |
|
509 | 509 | if not(newFile): |
|
510 | 510 | return 0 |
|
511 | 511 | return 1 |
|
512 | 512 | |
|
513 | 513 | def __setNextFileOffline(self): |
|
514 | 514 | """ |
|
515 | 515 | """ |
|
516 | 516 | idFile = self.fileIndex |
|
517 | 517 | while(True): |
|
518 | 518 | idFile += 1 |
|
519 | 519 | if not (idFile < len(self.filenameList)): |
|
520 | 520 | self.flagNoMoreFiles = 1 |
|
521 | 521 | print("No more Files") |
|
522 | 522 | return 0 |
|
523 | 523 | filename = self.filenameList[idFile] |
|
524 | 524 | hfFilePointer = h5py.File(filename, 'r') |
|
525 | 525 | |
|
526 | 526 | epoc = hfFilePointer['t'].value |
|
527 | 527 | # this_time=datetime.datetime(year,month,dom,hour,min,sec) |
|
528 | 528 | break |
|
529 | 529 | |
|
530 | 530 | self.flagIsNewFile = 1 |
|
531 | 531 | self.fileIndex = idFile |
|
532 | 532 | self.filename = filename |
|
533 | 533 | |
|
534 | 534 | self.hfFilePointer = hfFilePointer |
|
535 | 535 | hfFilePointer.close() |
|
536 | 536 | self.__t0 = epoc |
|
537 | 537 | print("Setting the file: %s" % self.filename) |
|
538 | 538 | |
|
539 | 539 | return 1 |
|
540 | 540 | |
|
541 | 541 | def __setNextFileOnline(self): |
|
542 | 542 | """ |
|
543 | 543 | """ |
|
544 | 544 | print("SOY NONE", self.set) |
|
545 | 545 | if self.set == None: |
|
546 | 546 | pass |
|
547 | 547 | else: |
|
548 | 548 | self.set += 10 |
|
549 | 549 | |
|
550 | 550 | filename = self.filenameList[0] # fullfilename |
|
551 | 551 | if self.filename_online != None: |
|
552 | 552 | self.__selectDataForTimes(online=True) |
|
553 | 553 | filename = self.filenameList[0] |
|
554 | 554 | while self.filename_online == filename: |
|
555 | 555 | print('waiting %d seconds to get a new file...' % (self.__waitForNewFile)) |
|
556 | 556 | time.sleep(self.__waitForNewFile) |
|
557 | 557 | # self.__findDataForDates(online=True) |
|
558 | 558 | self.set = self.filename_next_set |
|
559 | 559 | self.__selectDataForTimes(online=True) |
|
560 | 560 | filename = self.filenameList[0] |
|
561 | 561 | sizeoffile = os.path.getsize(filename) |
|
562 | 562 | |
|
563 | 563 | # print filename |
|
564 | 564 | sizeoffile = os.path.getsize(filename) |
|
565 | 565 | if sizeoffile < 1670240: |
|
566 | 566 | print("%s is not the rigth size" % filename) |
|
567 | 567 | delay = 50 |
|
568 | 568 | print('waiting %d seconds for delay...' % (delay)) |
|
569 | 569 | time.sleep(delay) |
|
570 | 570 | sizeoffile = os.path.getsize(filename) |
|
571 | 571 | if sizeoffile < 1670240: |
|
572 | 572 | delay = 50 |
|
573 | 573 | print('waiting %d more seconds for delay...' % (delay)) |
|
574 | 574 | time.sleep(delay) |
|
575 | 575 | |
|
576 | 576 | sizeoffile = os.path.getsize(filename) |
|
577 | 577 | if sizeoffile < 1670240: |
|
578 | 578 | delay = 50 |
|
579 | 579 | print('waiting %d more seconds for delay...' % (delay)) |
|
580 | 580 | time.sleep(delay) |
|
581 | 581 | |
|
582 | 582 | try: |
|
583 | 583 | hfFilePointer = h5py.File(filename, 'r') |
|
584 | 584 | |
|
585 | 585 | except: |
|
586 | 586 | print("Error reading file %s" % filename) |
|
587 | 587 | |
|
588 | 588 | self.filename_online = filename |
|
589 | 589 | epoc = hfFilePointer['t'].value |
|
590 | 590 | |
|
591 | 591 | self.hfFilePointer = hfFilePointer |
|
592 | 592 | hfFilePointer.close() |
|
593 | 593 | self.__t0 = epoc |
|
594 | 594 | |
|
595 | 595 | |
|
596 | 596 | self.flagIsNewFile = 1 |
|
597 | 597 | self.filename = filename |
|
598 | 598 | |
|
599 | 599 | print("Setting the file: %s" % self.filename) |
|
600 | 600 | return 1 |
|
601 | 601 | |
|
602 | 602 | def __getExpParameters(self): |
|
603 | 603 | if not(self.status): |
|
604 | 604 | return None |
|
605 | 605 | |
|
606 | 606 | def setup(self, |
|
607 | 607 | path=None, |
|
608 | 608 | startDate=None, |
|
609 | 609 | endDate=None, |
|
610 | 610 | startTime=datetime.time(0, 0, 0), |
|
611 | 611 | endTime=datetime.time(23, 59, 59), |
|
612 | 612 | set=None, |
|
613 | 613 | expLabel="", |
|
614 | 614 | ext=None, |
|
615 | 615 | all=0, |
|
616 | 616 | timezone=0, |
|
617 | 617 | online=False, |
|
618 | 618 | delay=60, |
|
619 | 619 | walk=True): |
|
620 | 620 | ''' |
|
621 | 621 | In this method we should set all initial parameters. |
|
622 | 622 | |
|
623 | 623 | ''' |
|
624 | 624 | if path == None: |
|
625 | 625 | raise ValueError("The path is not valid") |
|
626 | 626 | |
|
627 | 627 | if ext == None: |
|
628 | 628 | ext = self.ext |
|
629 | 629 | |
|
630 | 630 | self.timezone = timezone |
|
631 | 631 | self.online = online |
|
632 | 632 | self.all = all |
|
633 | 633 | # if set==None: |
|
634 | 634 | |
|
635 | 635 | # print set |
|
636 | 636 | if not(online): |
|
637 | 637 | print("Searching files in offline mode...") |
|
638 | 638 | |
|
639 | 639 | self.searchFilesOffLine(path, startDate, endDate, ext, startTime, endTime, walk) |
|
640 | 640 | else: |
|
641 | 641 | print("Searching files in online mode...") |
|
642 | 642 | self.searchFilesOnLine(path, walk, ext, set=set) |
|
643 | 643 | if set == None: |
|
644 | 644 | pass |
|
645 | 645 | else: |
|
646 | 646 | self.set = set - 10 |
|
647 | 647 | |
|
648 | 648 | # for nTries in range(self.nTries): |
|
649 | 649 | # |
|
650 | 650 | # fullpath,file,year,month,day,set = self.searchFilesOnLine(path=path,expLabel=expLabel,ext=ext, walk=walk,set=set) |
|
651 | 651 | # |
|
652 | 652 | # if fullpath: |
|
653 | 653 | # break |
|
654 | 654 | # print '\tWaiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
655 | 655 | # time.sleep(self.delay) |
|
656 | 656 | # if not(fullpath): |
|
657 | 657 | # print "There ins't valid files in %s" % path |
|
658 | 658 | # return None |
|
659 | 659 | |
|
660 | 660 | |
|
661 | 661 | if not(self.filenameList): |
|
662 | 662 | print("There is no files into the folder: %s" % (path)) |
|
663 | 663 | sys.exit(-1) |
|
664 | 664 | |
|
665 | 665 | self.__getExpParameters() |
|
666 | 666 | |
|
667 | 667 | |
|
668 | 668 | self.fileIndex = -1 |
|
669 | 669 | |
|
670 | 670 | self.__setNextFile(online) |
|
671 | 671 | |
|
672 | 672 | self.__readMetadata() |
|
673 | 673 | |
|
674 | 674 | self.__setLocalVariables() |
|
675 | 675 | |
|
676 | 676 | self.__setHeaderDO() |
|
677 | 677 | # self.profileIndex_offset= 0 |
|
678 | 678 | |
|
679 | 679 | # self.profileIndex = self.profileIndex_offset |
|
680 | 680 | |
|
681 | 681 | self.isConfig = True |
|
682 | 682 | |
|
683 | 683 | def __readMetadata(self): |
|
684 | 684 | self.__readHeader() |
|
685 | 685 | |
|
686 | 686 | |
|
687 | 687 | def __setLocalVariables(self): |
|
688 | 688 | |
|
689 |
self.datablock = numpy.zeros((self.nChannels, self.nHeights, self.nProfiles), dtype= |
|
|
689 | self.datablock = numpy.zeros((self.nChannels, self.nHeights, self.nProfiles), dtype=complex) | |
|
690 | 690 | # |
|
691 | 691 | |
|
692 | 692 | |
|
693 | 693 | |
|
694 | 694 | self.profileIndex = 9999 |
|
695 | 695 | |
|
696 | 696 | |
|
697 | 697 | def __setHeaderDO(self): |
|
698 | 698 | |
|
699 | 699 | |
|
700 | 700 | self.dataOut.radarControllerHeaderObj = RadarControllerHeader() |
|
701 | 701 | |
|
702 | 702 | self.dataOut.systemHeaderObj = SystemHeader() |
|
703 | 703 | |
|
704 | 704 | |
|
705 | 705 | #--------------------------------------------------------- |
|
706 | 706 | self.dataOut.systemHeaderObj.nProfiles = 100 |
|
707 | 707 | self.dataOut.systemHeaderObj.nSamples = 1000 |
|
708 | 708 | |
|
709 | 709 | |
|
710 | 710 | SAMPLING_STRUCTURE = [('h0', '<f4'), ('dh', '<f4'), ('nsa', '<u4')] |
|
711 | 711 | self.dataOut.radarControllerHeaderObj.samplingWindow = numpy.zeros((1,), SAMPLING_STRUCTURE) |
|
712 | 712 | self.dataOut.radarControllerHeaderObj.samplingWindow['h0'] = 0 |
|
713 | 713 | self.dataOut.radarControllerHeaderObj.samplingWindow['dh'] = 1.5 |
|
714 | 714 | self.dataOut.radarControllerHeaderObj.samplingWindow['nsa'] = 1000 |
|
715 | 715 | self.dataOut.radarControllerHeaderObj.nHeights = int(self.dataOut.radarControllerHeaderObj.samplingWindow['nsa']) |
|
716 | 716 | self.dataOut.radarControllerHeaderObj.firstHeight = self.dataOut.radarControllerHeaderObj.samplingWindow['h0'] |
|
717 | 717 | self.dataOut.radarControllerHeaderObj.deltaHeight = self.dataOut.radarControllerHeaderObj.samplingWindow['dh'] |
|
718 | 718 | self.dataOut.radarControllerHeaderObj.samplesWin = self.dataOut.radarControllerHeaderObj.samplingWindow['nsa'] |
|
719 | 719 | |
|
720 | 720 | self.dataOut.radarControllerHeaderObj.nWindows = 1 |
|
721 | 721 | self.dataOut.radarControllerHeaderObj.codetype = 0 |
|
722 | 722 | self.dataOut.radarControllerHeaderObj.numTaus = 0 |
|
723 | 723 | # self.dataOut.radarControllerHeaderObj.Taus = numpy.zeros((1,),'<f4') |
|
724 | 724 | |
|
725 | 725 | |
|
726 | 726 | # self.dataOut.radarControllerHeaderObj.nCode=numpy.zeros((1,), '<u4') |
|
727 | 727 | # self.dataOut.radarControllerHeaderObj.nBaud=numpy.zeros((1,), '<u4') |
|
728 | 728 | # self.dataOut.radarControllerHeaderObj.code=numpy.zeros(0) |
|
729 | 729 | |
|
730 | 730 | self.dataOut.radarControllerHeaderObj.code_size = 0 |
|
731 | 731 | self.dataOut.nBaud = 0 |
|
732 | 732 | self.dataOut.nCode = 0 |
|
733 | 733 | self.dataOut.nPairs = 0 |
|
734 | 734 | |
|
735 | 735 | |
|
736 | 736 | #--------------------------------------------------------- |
|
737 | 737 | |
|
738 | 738 | self.dataOut.type = "Voltage" |
|
739 | 739 | |
|
740 | 740 | self.dataOut.data = None |
|
741 | 741 | |
|
742 | 742 | self.dataOut.dtype = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
743 | 743 | |
|
744 | 744 | self.dataOut.nProfiles = 1 |
|
745 | 745 | |
|
746 | self.dataOut.heightList = self.__firstHeigth + numpy.arange(self.__nSamples, dtype=numpy.float) * self.__deltaHeigth | |
|
746 | self.dataOut.heightList = self.__firstHeigth + numpy.arange(self.__nSamples, dtype=numpy.float32) * self.__deltaHeigth | |
|
747 | 747 | |
|
748 | 748 | self.dataOut.channelList = list(range(self.nChannels)) |
|
749 | 749 | |
|
750 | 750 | # self.dataOut.channelIndexList = None |
|
751 | 751 | |
|
752 | 752 | self.dataOut.flagNoData = True |
|
753 | 753 | |
|
754 | 754 | # Set to TRUE if the data is discontinuous |
|
755 | 755 | self.dataOut.flagDiscontinuousBlock = False |
|
756 | 756 | |
|
757 | 757 | self.dataOut.utctime = None |
|
758 | 758 | |
|
759 | 759 | self.dataOut.timeZone = self.timezone |
|
760 | 760 | |
|
761 | 761 | self.dataOut.dstFlag = 0 |
|
762 | 762 | |
|
763 | 763 | self.dataOut.errorCount = 0 |
|
764 | 764 | |
|
765 | 765 | self.dataOut.nCohInt = 1 |
|
766 | 766 | |
|
767 | 767 | self.dataOut.blocksize = self.dataOut.nChannels * self.dataOut.nHeights |
|
768 | 768 | |
|
769 | 769 | self.dataOut.flagDecodeData = False # asumo que la data esta decodificada |
|
770 | 770 | |
|
771 | 771 | self.dataOut.flagDeflipData = False # asumo que la data esta sin flip |
|
772 | 772 | |
|
773 | 773 | self.dataOut.flagShiftFFT = False |
|
774 | 774 | |
|
775 | 775 | self.dataOut.ippSeconds = 1.0 * self.__nSamples / self.__sample_rate |
|
776 | 776 | |
|
777 | 777 | # Time interval between profiles |
|
778 | 778 | # self.dataOut.timeInterval =self.dataOut.ippSeconds * self.dataOut.nCohInt |
|
779 | 779 | |
|
780 | 780 | |
|
781 | 781 | self.dataOut.frequency = self.__frequency |
|
782 | 782 | |
|
783 | 783 | self.dataOut.realtime = self.__online |
|
784 | 784 | |
|
785 | 785 | def __hasNotDataInBuffer(self): |
|
786 | 786 | |
|
787 | 787 | if self.profileIndex >= self.nProfiles: |
|
788 | 788 | return 1 |
|
789 | 789 | |
|
790 | 790 | return 0 |
|
791 | 791 | |
|
792 | 792 | def readNextBlock(self): |
|
793 | 793 | if not(self.__setNewBlock()): |
|
794 | 794 | return 0 |
|
795 | 795 | |
|
796 | 796 | if not(self.readBlock()): |
|
797 | 797 | return 0 |
|
798 | 798 | |
|
799 | 799 | return 1 |
|
800 | 800 | |
|
801 | 801 | def __setNewBlock(self): |
|
802 | 802 | |
|
803 | 803 | if self.hfFilePointer == None: |
|
804 | 804 | return 0 |
|
805 | 805 | |
|
806 | 806 | if self.flagIsNewFile: |
|
807 | 807 | return 1 |
|
808 | 808 | |
|
809 | 809 | if self.profileIndex < self.nProfiles: |
|
810 | 810 | return 1 |
|
811 | 811 | |
|
812 | 812 | self.__setNextFile(self.online) |
|
813 | 813 | |
|
814 | 814 | return 1 |
|
815 | 815 | |
|
816 | 816 | |
|
817 | 817 | |
|
818 | 818 | def readBlock(self): |
|
819 | 819 | fp = h5py.File(self.filename, 'r') |
|
820 | 820 | # Puntero que apunta al archivo hdf5 |
|
821 | 821 | ch0 = (fp['ch0']).value # Primer canal (100,1000)--(perfiles,alturas) |
|
822 | 822 | ch1 = (fp['ch1']).value # Segundo canal (100,1000)--(perfiles,alturas) |
|
823 | 823 | fp.close() |
|
824 | 824 | ch0 = ch0.swapaxes(0, 1) # Primer canal (100,1000)--(alturas,perfiles) |
|
825 | 825 | ch1 = ch1.swapaxes(0, 1) # Segundo canal (100,1000)--(alturas,perfiles) |
|
826 | 826 | self.datablock = numpy.array([ch0, ch1]) |
|
827 | 827 | self.flagIsNewFile = 0 |
|
828 | 828 | |
|
829 | 829 | self.profileIndex = 0 |
|
830 | 830 | |
|
831 | 831 | return 1 |
|
832 | 832 | |
|
833 | 833 | def getData(self): |
|
834 | 834 | if self.flagNoMoreFiles: |
|
835 | 835 | self.dataOut.flagNoData = True |
|
836 | 836 | return 0 |
|
837 | 837 | |
|
838 | 838 | if self.__hasNotDataInBuffer(): |
|
839 | 839 | if not(self.readNextBlock()): |
|
840 | 840 | self.dataOut.flagNodata = True |
|
841 | 841 | return 0 |
|
842 | 842 | |
|
843 | 843 | ############################## |
|
844 | 844 | ############################## |
|
845 | 845 | self.dataOut.data = self.datablock[:, :, self.profileIndex] |
|
846 | 846 | self.dataOut.utctime = self.__t0 + self.dataOut.ippSeconds * self.profileIndex |
|
847 | 847 | self.dataOut.profileIndex = self.profileIndex |
|
848 | 848 | self.dataOut.flagNoData = False |
|
849 | 849 | self.profileIndex += 1 |
|
850 | 850 | |
|
851 | 851 | return self.dataOut.data |
|
852 | 852 | |
|
853 | 853 | |
|
854 | 854 | def run(self, **kwargs): |
|
855 | 855 | ''' |
|
856 | 856 | This method will be called many times so here you should put all your code |
|
857 | 857 | ''' |
|
858 | 858 | |
|
859 | 859 | if not self.isConfig: |
|
860 | 860 | self.setup(**kwargs) |
|
861 | 861 | self.isConfig = True |
|
862 | 862 | self.getData() |
@@ -1,873 +1,887 | |||
|
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 | 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 | self.utcoffset = 0 |
|
97 | 97 | |
|
98 | 98 | def setup(self, **kwargs): |
|
99 | 99 | |
|
100 | 100 | self.set_kwargs(**kwargs) |
|
101 | 101 | if not self.ext.startswith('.'): |
|
102 | 102 | self.ext = '.{}'.format(self.ext) |
|
103 | 103 | |
|
104 | 104 | if self.online: |
|
105 | 105 | log.log("Searching files in online mode...", self.name) |
|
106 | 106 | |
|
107 | 107 | for nTries in range(self.nTries): |
|
108 | 108 | fullpath = self.searchFilesOnLine(self.path, self.startDate, |
|
109 | 109 | self.endDate, self.expLabel, self.ext, self.walk, |
|
110 | 110 | self.filefmt, self.folderfmt) |
|
111 | 111 | try: |
|
112 | 112 | fullpath = next(fullpath) |
|
113 | 113 | except: |
|
114 | 114 | fullpath = None |
|
115 | 115 | |
|
116 | 116 | if fullpath: |
|
117 | 117 | break |
|
118 | 118 | |
|
119 | 119 | log.warning( |
|
120 | 120 | 'Waiting {} sec for a valid file in {}: try {} ...'.format( |
|
121 | 121 | self.delay, self.path, nTries + 1), |
|
122 | 122 | self.name) |
|
123 | 123 | time.sleep(self.delay) |
|
124 | 124 | |
|
125 | 125 | if not(fullpath): |
|
126 | 126 | raise schainpy.admin.SchainError( |
|
127 | 127 | 'There isn\'t any valid file in {}'.format(self.path)) |
|
128 | 128 | |
|
129 | 129 | pathname, filename = os.path.split(fullpath) |
|
130 | 130 | self.year = int(filename[1:5]) |
|
131 | 131 | self.doy = int(filename[5:8]) |
|
132 | 132 | self.set = int(filename[8:11]) - 1 |
|
133 | 133 | else: |
|
134 | 134 | log.log("Searching files in {}".format(self.path), self.name) |
|
135 | 135 | self.filenameList = self.searchFilesOffLine(self.path, self.startDate, |
|
136 | 136 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt) |
|
137 | 137 | |
|
138 | 138 | self.setNextFile() |
|
139 | 139 | |
|
140 | 140 | return |
|
141 | 141 | |
|
142 | 142 | def readFirstHeader(self): |
|
143 | 143 | '''Read metadata and data''' |
|
144 | 144 | |
|
145 | 145 | self.__readMetadata() |
|
146 | 146 | self.__readData() |
|
147 | 147 | self.__setBlockList() |
|
148 | 148 | |
|
149 | 149 | for attr in self.meta: |
|
150 | 150 | setattr(self.dataOut, attr, self.meta[attr]) |
|
151 | 151 | |
|
152 | 152 | self.blockIndex = 0 |
|
153 | 153 | |
|
154 | 154 | return |
|
155 | 155 | |
|
156 | 156 | def __setBlockList(self): |
|
157 | 157 | ''' |
|
158 | 158 | Selects the data within the times defined |
|
159 | 159 | |
|
160 | 160 | self.fp |
|
161 | 161 | self.startTime |
|
162 | 162 | self.endTime |
|
163 | 163 | self.blockList |
|
164 | 164 | self.blocksPerFile |
|
165 | 165 | |
|
166 | 166 | ''' |
|
167 | 167 | |
|
168 | 168 | startTime = self.startTime |
|
169 | 169 | endTime = self.endTime |
|
170 | 170 | thisUtcTime = self.data['utctime'] + self.utcoffset |
|
171 | 171 | self.interval = numpy.min(thisUtcTime[1:] - thisUtcTime[:-1]) |
|
172 | 172 | thisDatetime = datetime.datetime.utcfromtimestamp(thisUtcTime[0]) |
|
173 | 173 | |
|
174 | 174 | thisDate = thisDatetime.date() |
|
175 | 175 | thisTime = thisDatetime.time() |
|
176 | 176 | |
|
177 | 177 | startUtcTime = (datetime.datetime.combine(thisDate, startTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
178 | 178 | endUtcTime = (datetime.datetime.combine(thisDate, endTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
179 | 179 | |
|
180 | 180 | ind = numpy.where(numpy.logical_and(thisUtcTime >= startUtcTime, thisUtcTime < endUtcTime))[0] |
|
181 | 181 | |
|
182 | 182 | self.blockList = ind |
|
183 | 183 | self.blocksPerFile = len(ind) |
|
184 | 184 | return |
|
185 | 185 | |
|
186 | 186 | def __readMetadata(self): |
|
187 | 187 | ''' |
|
188 | 188 | Reads Metadata |
|
189 | 189 | ''' |
|
190 | 190 | |
|
191 | 191 | meta = {} |
|
192 | 192 | |
|
193 | 193 | if self.description: |
|
194 | 194 | for key, value in self.description['Metadata'].items(): |
|
195 | 195 | meta[key] = self.fp[value][()] |
|
196 | 196 | else: |
|
197 | 197 | grp = self.fp['Metadata'] |
|
198 | 198 | for name in grp: |
|
199 | 199 | meta[name] = grp[name][()] |
|
200 | 200 | |
|
201 | 201 | if self.extras: |
|
202 | 202 | for key, value in self.extras.items(): |
|
203 | 203 | meta[key] = value |
|
204 | 204 | self.meta = meta |
|
205 | 205 | |
|
206 | 206 | return |
|
207 | 207 | |
|
208 | 208 | def __readData(self): |
|
209 | 209 | |
|
210 | 210 | data = {} |
|
211 | 211 | |
|
212 | 212 | if self.description: |
|
213 | 213 | for key, value in self.description['Data'].items(): |
|
214 | 214 | if isinstance(value, str): |
|
215 | 215 | if isinstance(self.fp[value], h5py.Dataset): |
|
216 | 216 | data[key] = self.fp[value][()] |
|
217 | 217 | elif isinstance(self.fp[value], h5py.Group): |
|
218 | 218 | array = [] |
|
219 | 219 | for ch in self.fp[value]: |
|
220 | 220 | array.append(self.fp[value][ch][()]) |
|
221 | 221 | data[key] = numpy.array(array) |
|
222 | 222 | elif isinstance(value, list): |
|
223 | 223 | array = [] |
|
224 | 224 | for ch in value: |
|
225 | 225 | array.append(self.fp[ch][()]) |
|
226 | 226 | data[key] = numpy.array(array) |
|
227 | 227 | else: |
|
228 | 228 | grp = self.fp['Data'] |
|
229 | 229 | for name in grp: |
|
230 | 230 | if isinstance(grp[name], h5py.Dataset): |
|
231 | 231 | array = grp[name][()] |
|
232 | 232 | elif isinstance(grp[name], h5py.Group): |
|
233 | 233 | array = [] |
|
234 | 234 | for ch in grp[name]: |
|
235 | 235 | array.append(grp[name][ch][()]) |
|
236 | 236 | array = numpy.array(array) |
|
237 | 237 | else: |
|
238 | 238 | log.warning('Unknown type: {}'.format(name)) |
|
239 | 239 | |
|
240 | 240 | if name in self.description: |
|
241 | 241 | key = self.description[name] |
|
242 | 242 | else: |
|
243 | 243 | key = name |
|
244 | 244 | data[key] = array |
|
245 | 245 | |
|
246 | 246 | self.data = data |
|
247 | 247 | return |
|
248 | 248 | |
|
249 | 249 | def getData(self): |
|
250 | 250 | |
|
251 | 251 | for attr in self.data: |
|
252 | 252 | if self.data[attr].ndim == 1: |
|
253 | 253 | setattr(self.dataOut, attr, self.data[attr][self.blockIndex]) |
|
254 | 254 | else: |
|
255 | 255 | setattr(self.dataOut, attr, self.data[attr][:, self.blockIndex]) |
|
256 | 256 | |
|
257 | 257 | self.dataOut.flagNoData = False |
|
258 | 258 | self.blockIndex += 1 |
|
259 | 259 | |
|
260 | 260 | log.log("Block No. {}/{} -> {}".format( |
|
261 | 261 | self.blockIndex, |
|
262 | 262 | self.blocksPerFile, |
|
263 | 263 | self.dataOut.datatime.ctime()), self.name) |
|
264 | 264 | |
|
265 | 265 | return |
|
266 | 266 | |
|
267 | 267 | def run(self, **kwargs): |
|
268 | 268 | |
|
269 | 269 | if not(self.isConfig): |
|
270 | 270 | self.setup(**kwargs) |
|
271 | 271 | self.isConfig = True |
|
272 | 272 | |
|
273 | 273 | if self.blockIndex == self.blocksPerFile: |
|
274 | 274 | self.setNextFile() |
|
275 | 275 | |
|
276 | 276 | self.getData() |
|
277 | 277 | |
|
278 | 278 | if 'type' in self.meta: |
|
279 | 279 | self.dataOut.type = self.meta['type'].decode('utf-8') |
|
280 | 280 | |
|
281 | 281 | return |
|
282 | 282 | |
|
283 | 283 | @MPDecorator |
|
284 | 284 | class HDFWriter(Operation): |
|
285 | 285 | """Operation to write HDF5 files. |
|
286 | 286 | |
|
287 | 287 | The HDF5 file contains by default two groups Data and Metadata where |
|
288 | 288 | you can save any `dataOut` attribute specified by `dataList` and `metadataList` |
|
289 | 289 | parameters, data attributes are normaly time dependent where the metadata |
|
290 | 290 | are not. |
|
291 | 291 | It is possible to customize the structure of the HDF5 file with the |
|
292 | 292 | optional description parameter see the examples. |
|
293 | 293 | |
|
294 | 294 | Parameters: |
|
295 | 295 | ----------- |
|
296 | 296 | path : str |
|
297 | 297 | Path where files will be saved. |
|
298 | 298 | blocksPerFile : int |
|
299 | 299 | Number of blocks per file |
|
300 | 300 | metadataList : list |
|
301 | 301 | List of the dataOut attributes that will be saved as metadata |
|
302 | 302 | dataList : int |
|
303 | 303 | List of the dataOut attributes that will be saved as data |
|
304 | 304 | setType : bool |
|
305 | 305 | If True the name of the files corresponds to the timestamp of the data |
|
306 | 306 | description : dict, optional |
|
307 | 307 | Dictionary with the desired description of the HDF5 file |
|
308 | 308 | |
|
309 | 309 | Examples |
|
310 | 310 | -------- |
|
311 | 311 | |
|
312 | 312 | desc = { |
|
313 | 313 | 'data_output': {'winds': ['z', 'w', 'v']}, |
|
314 | 314 | 'utctime': 'timestamps', |
|
315 | 315 | 'heightList': 'heights' |
|
316 | 316 | } |
|
317 | 317 | desc = { |
|
318 | 318 | 'data_output': ['z', 'w', 'v'], |
|
319 | 319 | 'utctime': 'timestamps', |
|
320 | 320 | 'heightList': 'heights' |
|
321 | 321 | } |
|
322 | 322 | desc = { |
|
323 | 323 | 'Data': { |
|
324 | 324 | 'data_output': 'winds', |
|
325 | 325 | 'utctime': 'timestamps' |
|
326 | 326 | }, |
|
327 | 327 | 'Metadata': { |
|
328 | 328 | 'heightList': 'heights' |
|
329 | 329 | } |
|
330 | 330 | } |
|
331 | 331 | |
|
332 | 332 | writer = proc_unit.addOperation(name='HDFWriter') |
|
333 | 333 | writer.addParameter(name='path', value='/path/to/file') |
|
334 | 334 | writer.addParameter(name='blocksPerFile', value='32') |
|
335 | 335 | writer.addParameter(name='metadataList', value='heightList,timeZone') |
|
336 | 336 | writer.addParameter(name='dataList',value='data_output,utctime') |
|
337 | 337 | # writer.addParameter(name='description',value=json.dumps(desc)) |
|
338 | 338 | |
|
339 | 339 | """ |
|
340 | 340 | |
|
341 | 341 | ext = ".hdf5" |
|
342 | 342 | optchar = "D" |
|
343 | 343 | filename = None |
|
344 | 344 | path = None |
|
345 | 345 | setFile = None |
|
346 | 346 | fp = None |
|
347 | 347 | firsttime = True |
|
348 | 348 | # Configurations |
|
349 | 349 | blocksPerFile = None |
|
350 | 350 | blockIndex = None |
|
351 | 351 | dataOut = None |
|
352 | 352 | # Data Arrays |
|
353 | 353 | dataList = None |
|
354 | 354 | metadataList = None |
|
355 | 355 | currentDay = None |
|
356 | 356 | lastTime = None |
|
357 | 357 | |
|
358 | 358 | def __init__(self): |
|
359 | 359 | |
|
360 | 360 | Operation.__init__(self) |
|
361 | 361 | return |
|
362 | 362 | |
|
363 | def setup(self, path=None, blocksPerFile=10, metadataList=None, dataList=None, setType=None, description=None): | |
|
363 | def set_kwargs(self, **kwargs): | |
|
364 | ||
|
365 | for key, value in kwargs.items(): | |
|
366 | setattr(self, key, value) | |
|
367 | ||
|
368 | def set_kwargs_obj(self, obj, **kwargs): | |
|
369 | ||
|
370 | for key, value in kwargs.items(): | |
|
371 | setattr(obj, key, value) | |
|
372 | ||
|
373 | def setup(self, path=None, blocksPerFile=10, metadataList=None, dataList=None, setType=None, description=None, **kwargs): | |
|
364 | 374 | self.path = path |
|
365 | 375 | self.blocksPerFile = blocksPerFile |
|
366 | 376 | self.metadataList = metadataList |
|
367 | 377 | self.dataList = [s.strip() for s in dataList] |
|
368 | 378 | self.setType = setType |
|
369 | 379 | self.description = description |
|
380 | self.set_kwargs(**kwargs) | |
|
370 | 381 | |
|
371 | 382 | if self.metadataList is None: |
|
372 | 383 | self.metadataList = self.dataOut.metadata_list |
|
373 | 384 | |
|
374 | 385 | tableList = [] |
|
375 | 386 | dsList = [] |
|
376 | 387 | |
|
377 | 388 | for i in range(len(self.dataList)): |
|
378 | 389 | dsDict = {} |
|
379 | 390 | if hasattr(self.dataOut, self.dataList[i]): |
|
380 | 391 | dataAux = getattr(self.dataOut, self.dataList[i]) |
|
381 | 392 | dsDict['variable'] = self.dataList[i] |
|
382 | 393 | else: |
|
383 | 394 | log.warning('Attribute {} not found in dataOut', self.name) |
|
384 | 395 | continue |
|
385 | 396 | |
|
386 | 397 | if dataAux is None: |
|
387 | 398 | continue |
|
388 | elif isinstance(dataAux, (int, float, numpy.integer, numpy.float)): | |
|
399 | elif isinstance(dataAux, (int, float, numpy.integer, numpy.float32)): | |
|
389 | 400 | dsDict['nDim'] = 0 |
|
390 | 401 | else: |
|
391 | 402 | dsDict['nDim'] = len(dataAux.shape) |
|
392 | 403 | dsDict['shape'] = dataAux.shape |
|
393 | 404 | dsDict['dsNumber'] = dataAux.shape[0] |
|
394 | 405 | dsDict['dtype'] = dataAux.dtype |
|
395 | 406 | |
|
396 | 407 | dsList.append(dsDict) |
|
397 | 408 | |
|
398 | 409 | self.dsList = dsList |
|
399 | 410 | self.currentDay = self.dataOut.datatime.date() |
|
400 | 411 | |
|
401 | 412 | def timeFlag(self): |
|
402 | 413 | currentTime = self.dataOut.utctime |
|
403 | 414 | timeTuple = time.localtime(currentTime) |
|
404 | 415 | dataDay = timeTuple.tm_yday |
|
405 | 416 | |
|
406 | 417 | if self.lastTime is None: |
|
407 | 418 | self.lastTime = currentTime |
|
408 | 419 | self.currentDay = dataDay |
|
409 | 420 | return False |
|
410 | 421 | |
|
411 | 422 | timeDiff = currentTime - self.lastTime |
|
412 | 423 | |
|
413 | 424 | # Si el dia es diferente o si la diferencia entre un dato y otro supera la hora |
|
414 | 425 | if dataDay != self.currentDay: |
|
415 | 426 | self.currentDay = dataDay |
|
416 | 427 | return True |
|
417 | 428 | elif timeDiff > 3 * 60 * 60: |
|
418 | 429 | self.lastTime = currentTime |
|
419 | 430 | return True |
|
420 | 431 | else: |
|
421 | 432 | self.lastTime = currentTime |
|
422 | 433 | return False |
|
423 | 434 | |
|
424 | 435 | def run(self, dataOut, path, blocksPerFile=10, metadataList=None, |
|
425 | dataList=[], setType=None, description={}): | |
|
436 | dataList=[], setType=None, description={}, **kwargs): | |
|
426 | 437 | |
|
427 | 438 | self.dataOut = dataOut |
|
439 | self.set_kwargs_obj(self.dataOut, **kwargs) | |
|
428 | 440 | if not(self.isConfig): |
|
429 | 441 | self.setup(path=path, blocksPerFile=blocksPerFile, |
|
430 | 442 | metadataList=metadataList, dataList=dataList, |
|
431 | setType=setType, description=description) | |
|
443 | setType=setType, description=description, **kwargs) | |
|
432 | 444 | |
|
433 | 445 | self.isConfig = True |
|
434 | 446 | self.setNextFile() |
|
435 | 447 | |
|
436 | 448 | self.putData() |
|
437 | 449 | return |
|
438 | 450 | |
|
439 | 451 | def setNextFile(self): |
|
440 | 452 | |
|
441 | 453 | ext = self.ext |
|
442 | 454 | path = self.path |
|
443 | 455 | setFile = self.setFile |
|
444 | 456 | |
|
445 | 457 | timeTuple = time.localtime(self.dataOut.utctime) |
|
446 | 458 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year, timeTuple.tm_yday) |
|
447 | 459 | fullpath = os.path.join(path, subfolder) |
|
448 | 460 | |
|
449 | 461 | if os.path.exists(fullpath): |
|
450 | 462 | filesList = os.listdir(fullpath) |
|
451 | 463 | filesList = [k for k in filesList if k.startswith(self.optchar)] |
|
452 | 464 | if len(filesList) > 0: |
|
453 | 465 | filesList = sorted(filesList, key=str.lower) |
|
454 | 466 | filen = filesList[-1] |
|
455 | 467 | # el filename debera tener el siguiente formato |
|
456 | 468 | # 0 1234 567 89A BCDE (hex) |
|
457 | 469 | # x YYYY DDD SSS .ext |
|
458 | 470 | if isNumber(filen[8:11]): |
|
459 | 471 | setFile = int(filen[8:11]) # inicializo mi contador de seteo al seteo del ultimo file |
|
460 | 472 | else: |
|
461 | 473 | setFile = -1 |
|
462 | 474 | else: |
|
463 | 475 | setFile = -1 # inicializo mi contador de seteo |
|
464 | 476 | else: |
|
465 | 477 | os.makedirs(fullpath) |
|
466 | 478 | setFile = -1 # inicializo mi contador de seteo |
|
467 | 479 | |
|
468 | 480 | if self.setType is None: |
|
469 | 481 | setFile += 1 |
|
470 | 482 | file = '%s%4.4d%3.3d%03d%s' % (self.optchar, |
|
471 | 483 | timeTuple.tm_year, |
|
472 | 484 | timeTuple.tm_yday, |
|
473 | 485 | setFile, |
|
474 | 486 | ext) |
|
475 | 487 | else: |
|
476 | 488 | setFile = timeTuple.tm_hour * 60 + timeTuple.tm_min |
|
477 | 489 | file = '%s%4.4d%3.3d%04d%s' % (self.optchar, |
|
478 | 490 | timeTuple.tm_year, |
|
479 | 491 | timeTuple.tm_yday, |
|
480 | 492 | setFile, |
|
481 | 493 | ext) |
|
482 | 494 | |
|
483 | 495 | self.filename = os.path.join(path, subfolder, file) |
|
484 | 496 | |
|
485 | 497 | # Setting HDF5 File |
|
486 | 498 | self.fp = h5py.File(self.filename, 'w') |
|
487 | 499 | # write metadata |
|
488 | 500 | self.writeMetadata(self.fp) |
|
489 | 501 | # Write data |
|
490 | 502 | self.writeData(self.fp) |
|
491 | 503 | |
|
492 | 504 | def getLabel(self, name, x=None): |
|
493 | 505 | |
|
494 | 506 | if x is None: |
|
495 | 507 | if 'Data' in self.description: |
|
496 | 508 | data = self.description['Data'] |
|
497 | 509 | if 'Metadata' in self.description: |
|
498 | 510 | data.update(self.description['Metadata']) |
|
499 | 511 | else: |
|
500 | 512 | data = self.description |
|
501 | 513 | if name in data: |
|
502 | 514 | if isinstance(data[name], str): |
|
503 | 515 | return data[name] |
|
504 | 516 | elif isinstance(data[name], list): |
|
505 | 517 | return None |
|
506 | 518 | elif isinstance(data[name], dict): |
|
507 | 519 | for key, value in data[name].items(): |
|
508 | 520 | return key |
|
509 | 521 | return name |
|
510 | 522 | else: |
|
511 |
if ' |
|
|
512 |
|
|
|
523 | if 'Data' in self.description: | |
|
524 | data = self.description['Data'] | |
|
525 | if 'Metadata' in self.description: | |
|
526 | data.update(self.description['Metadata']) | |
|
513 | 527 | else: |
|
514 |
|
|
|
515 |
if name in |
|
|
516 |
if isinstance( |
|
|
517 |
return |
|
|
518 |
elif isinstance( |
|
|
519 |
for key, value in |
|
|
528 | data = self.description | |
|
529 | if name in data: | |
|
530 | if isinstance(data[name], list): | |
|
531 | return data[name][x] | |
|
532 | elif isinstance(data[name], dict): | |
|
533 | for key, value in data[name].items(): | |
|
520 | 534 | return value[x] |
|
521 | 535 | if 'cspc' in name: |
|
522 | 536 | return 'pair{:02d}'.format(x) |
|
523 | 537 | else: |
|
524 | 538 | return 'channel{:02d}'.format(x) |
|
525 | 539 | |
|
526 | 540 | def writeMetadata(self, fp): |
|
527 | ||
|
541 | ||
|
528 | 542 | if self.description: |
|
529 | 543 | if 'Metadata' in self.description: |
|
530 | 544 | grp = fp.create_group('Metadata') |
|
531 | 545 | else: |
|
532 | 546 | grp = fp |
|
533 | 547 | else: |
|
534 | 548 | grp = fp.create_group('Metadata') |
|
535 | 549 | |
|
536 | 550 | for i in range(len(self.metadataList)): |
|
537 | 551 | if not hasattr(self.dataOut, self.metadataList[i]): |
|
538 | 552 | log.warning('Metadata: `{}` not found'.format(self.metadataList[i]), self.name) |
|
539 | 553 | continue |
|
540 | 554 | value = getattr(self.dataOut, self.metadataList[i]) |
|
541 | 555 | if isinstance(value, bool): |
|
542 | 556 | if value is True: |
|
543 | 557 | value = 1 |
|
544 | 558 | else: |
|
545 | 559 | value = 0 |
|
546 | 560 | grp.create_dataset(self.getLabel(self.metadataList[i]), data=value) |
|
547 | 561 | return |
|
548 | 562 | |
|
549 | 563 | def writeData(self, fp): |
|
550 | 564 | |
|
551 | 565 | if self.description: |
|
552 | 566 | if 'Data' in self.description: |
|
553 | 567 | grp = fp.create_group('Data') |
|
554 | 568 | else: |
|
555 | 569 | grp = fp |
|
556 | 570 | else: |
|
557 | 571 | grp = fp.create_group('Data') |
|
558 | 572 | |
|
559 | 573 | dtsets = [] |
|
560 | 574 | data = [] |
|
561 | 575 | |
|
562 | 576 | for dsInfo in self.dsList: |
|
563 | 577 | if dsInfo['nDim'] == 0: |
|
564 | 578 | ds = grp.create_dataset( |
|
565 | 579 | self.getLabel(dsInfo['variable']), |
|
566 | 580 | (self.blocksPerFile,), |
|
567 | 581 | chunks=True, |
|
568 | 582 | dtype=numpy.float64) |
|
569 | 583 | dtsets.append(ds) |
|
570 | 584 | data.append((dsInfo['variable'], -1)) |
|
571 | 585 | else: |
|
572 | 586 | label = self.getLabel(dsInfo['variable']) |
|
573 | 587 | if label is not None: |
|
574 | 588 | sgrp = grp.create_group(label) |
|
575 | 589 | else: |
|
576 | 590 | sgrp = grp |
|
577 | 591 | for i in range(dsInfo['dsNumber']): |
|
578 | 592 | ds = sgrp.create_dataset( |
|
579 | 593 | self.getLabel(dsInfo['variable'], i), |
|
580 | 594 | (self.blocksPerFile,) + dsInfo['shape'][1:], |
|
581 | 595 | chunks=True, |
|
582 | 596 | dtype=dsInfo['dtype']) |
|
583 | 597 | dtsets.append(ds) |
|
584 | 598 | data.append((dsInfo['variable'], i)) |
|
585 | 599 | fp.flush() |
|
586 | 600 | |
|
587 | 601 | log.log('Creating file: {}'.format(fp.filename), self.name) |
|
588 | 602 | |
|
589 | 603 | self.ds = dtsets |
|
590 | 604 | self.data = data |
|
591 | 605 | self.firsttime = True |
|
592 | 606 | self.blockIndex = 0 |
|
593 | 607 | return |
|
594 | 608 | |
|
595 | 609 | def putData(self): |
|
596 | 610 | |
|
597 | 611 | if (self.blockIndex == self.blocksPerFile) or self.timeFlag(): |
|
598 | 612 | self.closeFile() |
|
599 | 613 | self.setNextFile() |
|
600 | 614 | |
|
601 | 615 | for i, ds in enumerate(self.ds): |
|
602 | 616 | attr, ch = self.data[i] |
|
603 | 617 | if ch == -1: |
|
604 | 618 | ds[self.blockIndex] = getattr(self.dataOut, attr) |
|
605 | 619 | else: |
|
606 | 620 | ds[self.blockIndex] = getattr(self.dataOut, attr)[ch] |
|
607 | 621 | |
|
608 | 622 | self.fp.flush() |
|
609 | 623 | self.blockIndex += 1 |
|
610 | 624 | log.log('Block No. {}/{}'.format(self.blockIndex, self.blocksPerFile), self.name) |
|
611 | 625 | |
|
612 | 626 | return |
|
613 | 627 | |
|
614 | 628 | def closeFile(self): |
|
615 | 629 | |
|
616 | 630 | if self.blockIndex != self.blocksPerFile: |
|
617 | 631 | for ds in self.ds: |
|
618 | 632 | ds.resize(self.blockIndex, axis=0) |
|
619 | 633 | |
|
620 | 634 | if self.fp: |
|
621 | 635 | self.fp.flush() |
|
622 | 636 | self.fp.close() |
|
623 | 637 | |
|
624 | 638 | def close(self): |
|
625 | 639 | |
|
626 | 640 | self.closeFile() |
|
627 | 641 | |
|
628 | 642 | |
|
629 | 643 | @MPDecorator |
|
630 | 644 | class ASCIIWriter(Operation): |
|
631 | 645 | """Operation to write data in ascii files. |
|
632 | 646 | |
|
633 | 647 | Parameters: |
|
634 | 648 | ----------- |
|
635 | 649 | path : str |
|
636 | 650 | Path where files will be saved. |
|
637 | 651 | blocksPerFile : int |
|
638 | 652 | Number of blocks per file |
|
639 | 653 | metadataList : list |
|
640 | 654 | List of the dataOut attributes that will be saved as metadata |
|
641 | 655 | dataDict : dict |
|
642 | 656 | Dictionary with the varaibles to be saved |
|
643 | 657 | setType : bool |
|
644 | 658 | If True the name of the files corresponds to the timestamp of the data |
|
645 | 659 | |
|
646 | 660 | Examples |
|
647 | 661 | -------- |
|
648 | 662 | |
|
649 | 663 | data = { |
|
650 | 664 | 'data_output': ['z', 'w', 'v'], |
|
651 | 665 | 'utctime': 'time', |
|
652 | 666 | 'heightList': 'height' |
|
653 | 667 | } |
|
654 | 668 | |
|
655 | 669 | writer = proc_unit.addOperation(name='ASCIIWriter') |
|
656 | 670 | writer.addParameter(name='path', value='/path/to/file') |
|
657 | 671 | writer.addParameter(name='blocksPerFile', value='32') |
|
658 | 672 | writer.addParameter(name='dataDict',value=json.dumps(data)) |
|
659 | 673 | |
|
660 | 674 | """ |
|
661 | 675 | |
|
662 | 676 | ext = ".txt" |
|
663 | 677 | optchar = "D" |
|
664 | 678 | filename = None |
|
665 | 679 | path = None |
|
666 | 680 | setFile = None |
|
667 | 681 | fp = None |
|
668 | 682 | firsttime = True |
|
669 | 683 | # Configurations |
|
670 | 684 | blocksPerFile = None |
|
671 | 685 | blockIndex = None |
|
672 | 686 | dataOut = None |
|
673 | 687 | # Data Arrays |
|
674 | 688 | dataDict = None |
|
675 | 689 | metadataList = None |
|
676 | 690 | currentDay = None |
|
677 | 691 | lastTime = None |
|
678 | 692 | localtime = True |
|
679 | 693 | |
|
680 | 694 | def __init__(self): |
|
681 | 695 | |
|
682 | 696 | Operation.__init__(self) |
|
683 | 697 | return |
|
684 | 698 | |
|
685 | 699 | def setup(self, path=None, blocksPerFile=10, metadataList=None, dataDict=None, setType=None, localtime=True): |
|
686 | 700 | self.path = path |
|
687 | 701 | self.blocksPerFile = blocksPerFile |
|
688 | 702 | self.metadataList = metadataList |
|
689 | 703 | self.dataDict = dataDict |
|
690 | 704 | self.setType = setType |
|
691 | 705 | self.localtime = localtime |
|
692 | 706 | |
|
693 | 707 | if self.metadataList is None: |
|
694 | 708 | self.metadataList = self.dataOut.metadata_list |
|
695 | 709 | |
|
696 | 710 | dsList = [] |
|
697 | 711 | |
|
698 | 712 | for key, value in self.dataDict.items(): |
|
699 | 713 | dsDict = {} |
|
700 | 714 | if hasattr(self.dataOut, key): |
|
701 | 715 | dataAux = getattr(self.dataOut, key) |
|
702 | 716 | dsDict['variable'] = key |
|
703 | 717 | else: |
|
704 | 718 | log.warning('Attribute {} not found in dataOut', self.name) |
|
705 | 719 | continue |
|
706 | 720 | |
|
707 | 721 | if dataAux is None: |
|
708 | 722 | continue |
|
709 | elif isinstance(dataAux, (int, float, numpy.integer, numpy.float)): | |
|
723 | elif isinstance(dataAux, (int, float, numpy.integer, numpy.float32)): | |
|
710 | 724 | dsDict['nDim'] = 0 |
|
711 | 725 | else: |
|
712 | 726 | dsDict['nDim'] = len(dataAux.shape) |
|
713 | 727 | dsDict['shape'] = dataAux.shape |
|
714 | 728 | dsDict['dsNumber'] = dataAux.shape[0] |
|
715 | 729 | dsDict['dtype'] = dataAux.dtype |
|
716 | 730 | |
|
717 | 731 | dsList.append(dsDict) |
|
718 | 732 | self.dsList = dsList |
|
719 | 733 | self.currentDay = self.dataOut.datatime.date() |
|
720 | 734 | |
|
721 | 735 | def timeFlag(self): |
|
722 | 736 | currentTime = self.dataOut.utctime |
|
723 | 737 | if self.localtime: |
|
724 | 738 | timeTuple = time.localtime(currentTime) |
|
725 | 739 | else: |
|
726 | 740 | timeTuple = time.gmtime(currentTime) |
|
727 | 741 | |
|
728 | 742 | dataDay = timeTuple.tm_yday |
|
729 | 743 | |
|
730 | 744 | if self.lastTime is None: |
|
731 | 745 | self.lastTime = currentTime |
|
732 | 746 | self.currentDay = dataDay |
|
733 | 747 | return False |
|
734 | 748 | |
|
735 | 749 | timeDiff = currentTime - self.lastTime |
|
736 | 750 | |
|
737 | 751 | # Si el dia es diferente o si la diferencia entre un dato y otro supera la hora |
|
738 | 752 | if dataDay != self.currentDay: |
|
739 | 753 | self.currentDay = dataDay |
|
740 | 754 | return True |
|
741 | 755 | elif timeDiff > 3 * 60 * 60: |
|
742 | 756 | self.lastTime = currentTime |
|
743 | 757 | return True |
|
744 | 758 | else: |
|
745 | 759 | self.lastTime = currentTime |
|
746 | 760 | return False |
|
747 | 761 | |
|
748 | 762 | def run(self, dataOut, path, blocksPerFile=10, metadataList=None, |
|
749 | 763 | dataDict={}, setType=None, localtime=True): |
|
750 | 764 | |
|
751 | 765 | self.dataOut = dataOut |
|
752 | 766 | if not(self.isConfig): |
|
753 | 767 | self.setup(path=path, blocksPerFile=blocksPerFile, |
|
754 | 768 | metadataList=metadataList, dataDict=dataDict, |
|
755 | 769 | setType=setType, localtime=localtime) |
|
756 | 770 | |
|
757 | 771 | self.isConfig = True |
|
758 | 772 | self.setNextFile() |
|
759 | 773 | |
|
760 | 774 | self.putData() |
|
761 | 775 | return |
|
762 | 776 | |
|
763 | 777 | def setNextFile(self): |
|
764 | 778 | |
|
765 | 779 | ext = self.ext |
|
766 | 780 | path = self.path |
|
767 | 781 | setFile = self.setFile |
|
768 | 782 | if self.localtime: |
|
769 | 783 | timeTuple = time.localtime(self.dataOut.utctime) |
|
770 | 784 | else: |
|
771 | 785 | timeTuple = time.gmtime(self.dataOut.utctime) |
|
772 | 786 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year, timeTuple.tm_yday) |
|
773 | 787 | fullpath = os.path.join(path, subfolder) |
|
774 | 788 | |
|
775 | 789 | if os.path.exists(fullpath): |
|
776 | 790 | filesList = os.listdir(fullpath) |
|
777 | 791 | filesList = [k for k in filesList if k.startswith(self.optchar)] |
|
778 | 792 | if len(filesList) > 0: |
|
779 | 793 | filesList = sorted(filesList, key=str.lower) |
|
780 | 794 | filen = filesList[-1] |
|
781 | 795 | # el filename debera tener el siguiente formato |
|
782 | 796 | # 0 1234 567 89A BCDE (hex) |
|
783 | 797 | # x YYYY DDD SSS .ext |
|
784 | 798 | if isNumber(filen[8:11]): |
|
785 | 799 | setFile = int(filen[8:11]) # inicializo mi contador de seteo al seteo del ultimo file |
|
786 | 800 | else: |
|
787 | 801 | setFile = -1 |
|
788 | 802 | else: |
|
789 | 803 | setFile = -1 # inicializo mi contador de seteo |
|
790 | 804 | else: |
|
791 | 805 | os.makedirs(fullpath) |
|
792 | 806 | setFile = -1 # inicializo mi contador de seteo |
|
793 | 807 | |
|
794 | 808 | if self.setType is None: |
|
795 | 809 | setFile += 1 |
|
796 | 810 | file = '%s%4.4d%3.3d%03d%s' % (self.optchar, |
|
797 | 811 | timeTuple.tm_year, |
|
798 | 812 | timeTuple.tm_yday, |
|
799 | 813 | setFile, |
|
800 | 814 | ext) |
|
801 | 815 | else: |
|
802 | 816 | setFile = timeTuple.tm_hour * 60 + timeTuple.tm_min |
|
803 | 817 | file = '%s%4.4d%3.3d%04d%s' % (self.optchar, |
|
804 | 818 | timeTuple.tm_year, |
|
805 | 819 | timeTuple.tm_yday, |
|
806 | 820 | setFile, |
|
807 | 821 | ext) |
|
808 | 822 | |
|
809 | 823 | self.filename = os.path.join(path, subfolder, file) |
|
810 | 824 | |
|
811 | 825 | # Setting HDF5 File |
|
812 | 826 | self.fp = open(self.filename, 'w') |
|
813 | 827 | # write metadata |
|
814 | 828 | self.writeMetadata(self.fp) |
|
815 | 829 | # Write data |
|
816 | 830 | self.writeData(self.fp) |
|
817 | 831 | |
|
818 | 832 | def writeMetadata(self, fp): |
|
819 | 833 | |
|
820 | 834 | line = '' |
|
821 | 835 | for d in self.dsList: |
|
822 | 836 | par = self.dataDict[d['variable']] |
|
823 | 837 | if isinstance(par, (list,tuple)): |
|
824 | 838 | for p in par: |
|
825 | 839 | line += '{:>16}'.format(p) |
|
826 | 840 | else: |
|
827 | 841 | line += '{:>16}'.format(par) |
|
828 | 842 | |
|
829 | 843 | line += '\n' |
|
830 | 844 | fp.write(line) |
|
831 | 845 | |
|
832 | 846 | def writeData(self, fp): |
|
833 | 847 | |
|
834 | 848 | log.log('Creating file: {}'.format(self.filename), self.name) |
|
835 | 849 | |
|
836 | 850 | self.firsttime = True |
|
837 | 851 | self.blockIndex = 0 |
|
838 | 852 | return |
|
839 | 853 | |
|
840 | 854 | def putData(self): |
|
841 | 855 | |
|
842 | 856 | if (self.blockIndex == self.blocksPerFile) or self.timeFlag(): |
|
843 | 857 | self.closeFile() |
|
844 | 858 | self.setNextFile() |
|
845 | 859 | |
|
846 | 860 | line = '' |
|
847 | 861 | for j in range(len(self.dataOut.heightList)): |
|
848 | 862 | for ds in self.dsList: |
|
849 | 863 | par = self.dataDict[ds['variable']] |
|
850 | 864 | if ds['nDim'] == 2: |
|
851 | 865 | for i in range(len(par)): |
|
852 | 866 | line += '{:>16}'.format('%8.2f' % getattr(self.dataOut, ds['variable'])[i][j]) |
|
853 | 867 | elif ds['nDim'] == 1: |
|
854 | 868 | line += '{:>16}'.format('%8.2f' % getattr(self.dataOut, ds['variable'])[j]) |
|
855 | 869 | else: |
|
856 | 870 | line += '{:>16}'.format('%8.2f' % getattr(self.dataOut, ds['variable'])) |
|
857 | 871 | |
|
858 | 872 | line += '\n' |
|
859 | 873 | self.fp.write(line) |
|
860 | 874 | |
|
861 | 875 | self.blockIndex += 1 |
|
862 | 876 | log.log('Block No. {}/{}'.format(self.blockIndex, self.blocksPerFile), self.name) |
|
863 | 877 | |
|
864 | 878 | return |
|
865 | 879 | |
|
866 | 880 | def closeFile(self): |
|
867 | 881 | |
|
868 | 882 | if self.fp: |
|
869 | 883 | self.fp.close() |
|
870 | 884 | |
|
871 | 885 | def close(self): |
|
872 | 886 | |
|
873 | 887 | self.closeFile() |
@@ -1,519 +1,519 | |||
|
1 | 1 | import numpy, math, random, time |
|
2 | 2 | #---------------1 Heredamos JRODatareader |
|
3 | 3 | from schainpy.model.io.jroIO_base import * |
|
4 | 4 | #---------------2 Heredamos las propiedades de ProcessingUnit |
|
5 | 5 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
6 | 6 | #---------------3 Importaremos las clases BascicHeader, SystemHeader, RadarControlHeader, ProcessingHeader |
|
7 | 7 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
8 | 8 | #---------------4 Importaremos el objeto Voltge |
|
9 | 9 | from schainpy.model.data.jrodata import Voltage |
|
10 | 10 | |
|
11 | 11 | class SimulatorReader(JRODataReader, ProcessingUnit): |
|
12 | 12 | incIntFactor = 1 |
|
13 | 13 | nFFTPoints = 0 |
|
14 | 14 | FixPP_IncInt = 1 |
|
15 | 15 | FixRCP_IPP = 1000 |
|
16 | 16 | FixPP_CohInt = 1 |
|
17 | 17 | Tau_0 = 250 |
|
18 | 18 | AcqH0_0 = 70 |
|
19 | 19 | H0 = AcqH0_0 |
|
20 | 20 | AcqDH_0 = 1.25 |
|
21 | 21 | DH0 = AcqDH_0 |
|
22 | 22 | Bauds = 32 |
|
23 | 23 | BaudWidth = None |
|
24 | 24 | FixRCP_TXA = 40 |
|
25 | 25 | FixRCP_TXB = 70 |
|
26 | 26 | fAngle = 2.0 * math.pi * (1 / 16) |
|
27 | 27 | DC_level = 500 |
|
28 | 28 | stdev = 8 |
|
29 | 29 | Num_Codes = 2 |
|
30 | 30 | # code0 = numpy.array([1,1,1,0,1,1,0,1,1,1,1,0,0,0,1,0,1,1,1,0,1,1,0,1,0,0,0,1,1,1,0,1]) |
|
31 | 31 | # code1 = numpy.array([1,1,1,0,1,1,0,1,1,1,1,0,0,0,1,0,0,0,0,1,0,0,1,0,1,1,1,0,0,0,1,0]) |
|
32 | 32 | # Dyn_snCode = numpy.array([Num_Codes,Bauds]) |
|
33 | 33 | Dyn_snCode = None |
|
34 | 34 | Samples = 200 |
|
35 | 35 | channels = 2 |
|
36 | 36 | pulses = None |
|
37 | 37 | Reference = None |
|
38 | 38 | pulse_size = None |
|
39 | 39 | prof_gen = None |
|
40 | 40 | Fdoppler = 100 |
|
41 | 41 | Hdoppler = 36 |
|
42 | 42 | Adoppler = 300 |
|
43 | 43 | frequency = 9345 |
|
44 | 44 | nTotalReadFiles = 1000 |
|
45 | 45 | |
|
46 | 46 | def __init__(self): |
|
47 | 47 | """ |
|
48 | 48 | Inicializador de la clases SimulatorReader para |
|
49 | 49 | generar datos de voltage simulados. |
|
50 | 50 | Input: |
|
51 | 51 | dataOut: Objeto de la clase Voltage. |
|
52 | 52 | Este Objeto sera utilizado apra almacenar |
|
53 | 53 | un perfil de datos cada vez qe se haga |
|
54 | 54 | un requerimiento (getData) |
|
55 | 55 | """ |
|
56 | 56 | ProcessingUnit.__init__(self) |
|
57 | 57 | print(" [ START ] init - Metodo Simulator Reader") |
|
58 | 58 | |
|
59 | 59 | self.isConfig = False |
|
60 | 60 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
61 | 61 | self.systemHeaderObj = SystemHeader() |
|
62 | 62 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
63 | 63 | self.processingHeaderObj = ProcessingHeader() |
|
64 | 64 | self.profileIndex = 2 ** 32 - 1 |
|
65 | 65 | self.dataOut = Voltage() |
|
66 | 66 | # code0 = numpy.array([1,1,1,0,1,1,0,1,1,1,1,0,0,0,1,0,1,1,1,0,1,1,0,1,0,0,0,1,1,1,0,1]) |
|
67 | 67 | code0 = numpy.array([1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, -1, 1]) |
|
68 | 68 | # code1 = numpy.array([1,1,1,0,1,1,0,1,1,1,1,0,0,0,1,0,0,0,0,1,0,0,1,0,1,1,1,0,0,0,1,0]) |
|
69 | 69 | code1 = numpy.array([1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1]) |
|
70 | 70 | # self.Dyn_snCode = numpy.array([code0,code1]) |
|
71 | 71 | self.Dyn_snCode = None |
|
72 | 72 | |
|
73 | 73 | def set_kwargs(self, **kwargs): |
|
74 | 74 | for key, value in kwargs.items(): |
|
75 | 75 | setattr(self, key, value) |
|
76 | 76 | |
|
77 | 77 | def __hasNotDataInBuffer(self): |
|
78 | 78 | |
|
79 | 79 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock * self.nTxs: |
|
80 | 80 | if self.nReadBlocks > 0: |
|
81 | 81 | tmp = self.dataOut.utctime |
|
82 | 82 | tmp_utc = int(self.dataOut.utctime) |
|
83 | 83 | tmp_milisecond = int((tmp - tmp_utc) * 1000) |
|
84 | 84 | self.basicHeaderObj.utc = tmp_utc |
|
85 | 85 | self.basicHeaderObj.miliSecond = tmp_milisecond |
|
86 | 86 | return 1 |
|
87 | 87 | return 0 |
|
88 | 88 | |
|
89 | 89 | def setNextFile(self): |
|
90 | 90 | """Set the next file to be readed open it and parse de file header""" |
|
91 | 91 | |
|
92 | 92 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
93 | 93 | self.nReadFiles = self.nReadFiles + 1 |
|
94 | 94 | if self.nReadFiles > self.nTotalReadFiles: |
|
95 | 95 | self.flagNoMoreFiles = 1 |
|
96 | 96 | raise schainpy.admin.SchainWarning('No more files to read') |
|
97 | 97 | |
|
98 | 98 | print('------------------- [Opening file] ------------------------------', self.nReadFiles) |
|
99 | 99 | self.nReadBlocks = 0 |
|
100 | 100 | # if self.nReadBlocks==0: |
|
101 | 101 | # self.readFirstHeader() |
|
102 | 102 | |
|
103 | 103 | def __setNewBlock(self): |
|
104 | 104 | self.setNextFile() |
|
105 | 105 | if self.flagIsNewFile: |
|
106 | 106 | return 1 |
|
107 | 107 | |
|
108 | 108 | def readNextBlock(self): |
|
109 | 109 | while True: |
|
110 | 110 | self.__setNewBlock() |
|
111 | 111 | if not(self.readBlock()): |
|
112 | 112 | return 0 |
|
113 | 113 | self.getBasicHeader() |
|
114 | 114 | break |
|
115 | 115 | if self.verbose: |
|
116 | 116 | print("[Reading] Block No. %d/%d -> %s" % (self.nReadBlocks, |
|
117 | 117 | self.processingHeaderObj.dataBlocksPerFile, |
|
118 | 118 | self.dataOut.datatime.ctime())) |
|
119 | 119 | return 1 |
|
120 | 120 | |
|
121 | 121 | def getFirstHeader(self): |
|
122 | 122 | self.getBasicHeader() |
|
123 | 123 | self.dataOut.processingHeaderObj = self.processingHeaderObj.copy() |
|
124 | 124 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
125 | 125 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
126 | 126 | self.dataOut.dtype = self.dtype |
|
127 | 127 | |
|
128 | 128 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
129 | 129 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.nHeights) * self.processingHeaderObj.deltaHeight + self.processingHeaderObj.firstHeight |
|
130 | 130 | self.dataOut.channelList = list(range(self.systemHeaderObj.nChannels)) |
|
131 | 131 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
132 | 132 | # asumo q la data no esta decodificada |
|
133 | 133 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode |
|
134 | 134 | # asumo q la data no esta sin flip |
|
135 | 135 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip |
|
136 | 136 | self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft |
|
137 | 137 | self.dataOut.frequency = self.frequency |
|
138 | 138 | |
|
139 | 139 | def getBasicHeader(self): |
|
140 | 140 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond / \ |
|
141 | 141 | 1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
142 | 142 | |
|
143 | 143 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
144 | 144 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
145 | 145 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
146 | 146 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
147 | 147 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
148 | 148 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds / self.nTxs |
|
149 | 149 | |
|
150 | 150 | def readFirstHeader(self): |
|
151 | 151 | |
|
152 | 152 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & |
|
153 | 153 | PROCFLAG.DATATYPE_MASK)) - numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
154 | 154 | if datatype == 0: |
|
155 | 155 | datatype_str = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
156 | 156 | elif datatype == 1: |
|
157 | 157 | datatype_str = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
158 | 158 | elif datatype == 2: |
|
159 | 159 | datatype_str = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
160 | 160 | elif datatype == 3: |
|
161 | 161 | datatype_str = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
162 | 162 | elif datatype == 4: |
|
163 | 163 | datatype_str = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
164 | 164 | elif datatype == 5: |
|
165 | 165 | datatype_str = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
166 | 166 | else: |
|
167 | 167 | raise ValueError('Data type was not defined') |
|
168 | 168 | |
|
169 | 169 | self.dtype = datatype_str |
|
170 | 170 | |
|
171 | 171 | |
|
172 | 172 | def set_RCH(self, expType=2, nTx=1, ipp=None, txA=0, txB=0, |
|
173 | 173 | nWindows=None, nHeights=None, firstHeight=None, deltaHeight=None, |
|
174 | 174 | numTaus=0, line6Function=0, line5Function=0, fClock=None, |
|
175 | 175 | prePulseBefore=0, prePulseAfter=0, |
|
176 | 176 | codeType=0, nCode=0, nBaud=0, code=None, |
|
177 | 177 | flip1=0, flip2=0, Taus=0): |
|
178 | 178 | self.radarControllerHeaderObj.expType = expType |
|
179 | 179 | self.radarControllerHeaderObj.nTx = nTx |
|
180 | 180 | self.radarControllerHeaderObj.ipp = float(ipp) |
|
181 | 181 | self.radarControllerHeaderObj.txA = float(txA) |
|
182 | 182 | self.radarControllerHeaderObj.txB = float(txB) |
|
183 | 183 | self.radarControllerHeaderObj.rangeIpp = b'A\n' # ipp |
|
184 | 184 | self.radarControllerHeaderObj.rangeTxA = b'' |
|
185 | 185 | self.radarControllerHeaderObj.rangeTxB = b'' |
|
186 | 186 | |
|
187 | 187 | self.radarControllerHeaderObj.nHeights = int(nHeights) |
|
188 | 188 | self.radarControllerHeaderObj.firstHeight = numpy.array([firstHeight]) |
|
189 | 189 | self.radarControllerHeaderObj.deltaHeight = numpy.array([deltaHeight]) |
|
190 | 190 | self.radarControllerHeaderObj.samplesWin = numpy.array([nHeights]) |
|
191 | 191 | |
|
192 | 192 | |
|
193 | 193 | self.radarControllerHeaderObj.nWindows = nWindows |
|
194 | 194 | self.radarControllerHeaderObj.numTaus = numTaus |
|
195 | 195 | self.radarControllerHeaderObj.codeType = codeType |
|
196 | 196 | self.radarControllerHeaderObj.line6Function = line6Function |
|
197 | 197 | self.radarControllerHeaderObj.line5Function = line5Function |
|
198 | 198 | # self.radarControllerHeaderObj.fClock = fClock |
|
199 | 199 | self.radarControllerHeaderObj.prePulseBefore = prePulseBefore |
|
200 | 200 | self.radarControllerHeaderObj.prePulseAfter = prePulseAfter |
|
201 | 201 | |
|
202 | 202 | self.radarControllerHeaderObj.flip1 = flip1 |
|
203 | 203 | self.radarControllerHeaderObj.flip2 = flip2 |
|
204 | 204 | |
|
205 | 205 | self.radarControllerHeaderObj.code_size = 0 |
|
206 | 206 | if self.radarControllerHeaderObj.codeType != 0: |
|
207 | 207 | self.radarControllerHeaderObj.nCode = nCode |
|
208 | 208 | self.radarControllerHeaderObj.nBaud = nBaud |
|
209 | 209 | self.radarControllerHeaderObj.code = code |
|
210 | 210 | self.radarControllerHeaderObj.code_size = int(numpy.ceil(nBaud / 32.)) * nCode * 4 |
|
211 | 211 | |
|
212 | 212 | if fClock is None and deltaHeight is not None: |
|
213 | 213 | self.fClock = 0.15 / (deltaHeight * 1e-6) |
|
214 | 214 | self.radarControllerHeaderObj.fClock = self.fClock |
|
215 | 215 | if numTaus == 0: |
|
216 | 216 | self.radarControllerHeaderObj.Taus = numpy.array(0, '<f4') |
|
217 | 217 | else: |
|
218 | 218 | self.radarControllerHeaderObj.Taus = numpy.array(Taus, '<f4') |
|
219 | 219 | |
|
220 | 220 | def set_PH(self, dtype=0, blockSize=0, profilesPerBlock=0, |
|
221 | 221 | dataBlocksPerFile=0, nWindows=0, processFlags=0, nCohInt=0, |
|
222 | 222 | nIncohInt=0, totalSpectra=0, nHeights=0, firstHeight=0, |
|
223 | 223 | deltaHeight=0, samplesWin=0, spectraComb=0, nCode=0, |
|
224 | 224 | code=0, nBaud=None, shif_fft=False, flag_dc=False, |
|
225 | 225 | flag_cspc=False, flag_decode=False, flag_deflip=False): |
|
226 | 226 | |
|
227 | 227 | self.processingHeaderObj.dtype = dtype |
|
228 | 228 | self.processingHeaderObj.profilesPerBlock = profilesPerBlock |
|
229 | 229 | self.processingHeaderObj.dataBlocksPerFile = dataBlocksPerFile |
|
230 | 230 | self.processingHeaderObj.nWindows = nWindows |
|
231 | 231 | self.processingHeaderObj.processFlags = processFlags |
|
232 | 232 | self.processingHeaderObj.nCohInt = nCohInt |
|
233 | 233 | self.processingHeaderObj.nIncohInt = nIncohInt |
|
234 | 234 | self.processingHeaderObj.totalSpectra = totalSpectra |
|
235 | 235 | |
|
236 | 236 | self.processingHeaderObj.nHeights = int(nHeights) |
|
237 | 237 | self.processingHeaderObj.firstHeight = firstHeight # numpy.array([firstHeight])#firstHeight |
|
238 | 238 | self.processingHeaderObj.deltaHeight = deltaHeight # numpy.array([deltaHeight])#deltaHeight |
|
239 | 239 | self.processingHeaderObj.samplesWin = nHeights # numpy.array([nHeights])#nHeights |
|
240 | 240 | |
|
241 | 241 | def set_BH(self, utc=0, miliSecond=0, timeZone=0): |
|
242 | 242 | self.basicHeaderObj.utc = utc |
|
243 | 243 | self.basicHeaderObj.miliSecond = miliSecond |
|
244 | 244 | self.basicHeaderObj.timeZone = timeZone |
|
245 | 245 | |
|
246 | 246 | def set_SH(self, nSamples=0, nProfiles=0, nChannels=0, adcResolution=14, pciDioBusWidth=32): |
|
247 | 247 | # self.systemHeaderObj.size = size |
|
248 | 248 | self.systemHeaderObj.nSamples = nSamples |
|
249 | 249 | self.systemHeaderObj.nProfiles = nProfiles |
|
250 | 250 | self.systemHeaderObj.nChannels = nChannels |
|
251 | 251 | self.systemHeaderObj.adcResolution = adcResolution |
|
252 | 252 | self.systemHeaderObj.pciDioBusWidth = pciDioBusWidth |
|
253 | 253 | |
|
254 | 254 | def init_acquisition(self): |
|
255 | 255 | |
|
256 | 256 | if self.nFFTPoints != 0: |
|
257 | 257 | self.incIntFactor = m_nProfilesperBlock / self.nFFTPoints |
|
258 | 258 | if (self.FixPP_IncInt > self.incIntFactor): |
|
259 | 259 | self.incIntFactor = self.FixPP_IncInt / self.incIntFactor |
|
260 | 260 | elif(self.FixPP_IncInt < self.incIntFactor): |
|
261 | 261 | print("False alert...") |
|
262 | 262 | |
|
263 | 263 | ProfilesperBlock = self.processingHeaderObj.profilesPerBlock |
|
264 | 264 | |
|
265 | 265 | self.timeperblock = int(((self.FixRCP_IPP |
|
266 | 266 | * ProfilesperBlock |
|
267 | 267 | * self.FixPP_CohInt |
|
268 | 268 | * self.incIntFactor) |
|
269 | 269 | / 150.0) |
|
270 | 270 | * 0.9 |
|
271 | 271 | + 0.5) |
|
272 | 272 | # para cada canal |
|
273 | 273 | self.profiles = ProfilesperBlock * self.FixPP_CohInt |
|
274 | 274 | self.profiles = ProfilesperBlock |
|
275 | 275 | self.Reference = int((self.Tau_0 - self.AcqH0_0) / (self.AcqDH_0) + 0.5) |
|
276 | 276 | self.BaudWidth = int((self.FixRCP_TXA / self.AcqDH_0) / self.Bauds + 0.5) |
|
277 | 277 | |
|
278 | 278 | if (self.BaudWidth == 0): |
|
279 | 279 | self.BaudWidth = 1 |
|
280 | 280 | |
|
281 | 281 | def init_pulse(self, Num_Codes=Num_Codes, Bauds=Bauds, BaudWidth=BaudWidth, Dyn_snCode=Dyn_snCode): |
|
282 | 282 | |
|
283 | 283 | Num_Codes = Num_Codes |
|
284 | 284 | Bauds = Bauds |
|
285 | 285 | BaudWidth = BaudWidth |
|
286 | 286 | Dyn_snCode = Dyn_snCode |
|
287 | 287 | |
|
288 | 288 | if Dyn_snCode: |
|
289 | 289 | print("EXISTE") |
|
290 | 290 | else: |
|
291 | 291 | print("No existe") |
|
292 | 292 | |
|
293 | 293 | if Dyn_snCode: # if Bauds: |
|
294 | 294 | pulses = list(range(0, Num_Codes)) |
|
295 | 295 | num_codes = Num_Codes |
|
296 | 296 | for i in range(num_codes): |
|
297 | 297 | pulse_size = Bauds * BaudWidth |
|
298 | 298 | pulses[i] = numpy.zeros(pulse_size) |
|
299 | 299 | for j in range(Bauds): |
|
300 | 300 | for k in range(BaudWidth): |
|
301 | 301 | pulses[i][j * BaudWidth + k] = int(Dyn_snCode[i][j] * 600) |
|
302 | 302 | else: |
|
303 | 303 | print("sin code") |
|
304 | 304 | pulses = list(range(1)) |
|
305 | 305 | if self.AcqDH_0 > 0.149: |
|
306 | 306 | pulse_size = int(self.FixRCP_TXB / 0.15 + 0.5) |
|
307 | 307 | else: |
|
308 | 308 | pulse_size = int((self.FixRCP_TXB / self.AcqDH_0) + 0.5) # 0.0375 |
|
309 | 309 | pulses[0] = numpy.ones(pulse_size) |
|
310 | 310 | pulses = 600 * pulses[0] |
|
311 | 311 | |
|
312 | 312 | return pulses, pulse_size |
|
313 | 313 | |
|
314 | 314 | def jro_GenerateBlockOfData(self, Samples=Samples, DC_level=DC_level, stdev=stdev, |
|
315 | 315 | Reference=Reference, pulses=pulses, |
|
316 | 316 | Num_Codes=Num_Codes, pulse_size=pulse_size, |
|
317 | 317 | prof_gen=prof_gen, H0=H0, DH0=DH0, |
|
318 | 318 | Adoppler=Adoppler, Fdoppler=Fdoppler, Hdoppler=Hdoppler): |
|
319 | 319 | Samples = Samples |
|
320 | 320 | DC_level = DC_level |
|
321 | 321 | stdev = stdev |
|
322 | 322 | m_nR = Reference |
|
323 | 323 | pulses = pulses |
|
324 | 324 | num_codes = Num_Codes |
|
325 | 325 | ps = pulse_size |
|
326 | 326 | prof_gen = prof_gen |
|
327 | 327 | channels = self.channels |
|
328 | 328 | H0 = H0 |
|
329 | 329 | DH0 = DH0 |
|
330 | 330 | ippSec = self.radarControllerHeaderObj.ippSeconds |
|
331 | 331 | Fdoppler = self.Fdoppler |
|
332 | 332 | Hdoppler = self.Hdoppler |
|
333 | 333 | Adoppler = self.Adoppler |
|
334 | 334 | |
|
335 |
self.datablock = numpy.zeros([channels, prof_gen, Samples], dtype= |
|
|
335 | self.datablock = numpy.zeros([channels, prof_gen, Samples], dtype=complex) | |
|
336 | 336 | for i in range(channels): |
|
337 | 337 | for k in range(prof_gen): |
|
338 | 338 | #-----------------------NOISE--------------- |
|
339 | 339 | Noise_r = numpy.random.normal(DC_level, stdev, Samples) |
|
340 | 340 | Noise_i = numpy.random.normal(DC_level, stdev, Samples) |
|
341 | 341 | Noise = numpy.zeros(Samples, dtype=complex) |
|
342 | 342 | Noise.real = Noise_r |
|
343 | 343 | Noise.imag = Noise_i |
|
344 | 344 | #-----------------------PULSOS-------------- |
|
345 | 345 | Pulso = numpy.zeros(pulse_size, dtype=complex) |
|
346 | 346 | Pulso.real = pulses[k % num_codes] |
|
347 | 347 | Pulso.imag = pulses[k % num_codes] |
|
348 | 348 | #--------------------- PULSES+NOISE---------- |
|
349 | 349 | InBuffer = numpy.zeros(Samples, dtype=complex) |
|
350 | 350 | InBuffer[m_nR:m_nR + ps] = Pulso |
|
351 | 351 | InBuffer = InBuffer + Noise |
|
352 | 352 | #--------------------- ANGLE ------------------------------- |
|
353 | 353 | InBuffer.real[m_nR:m_nR + ps] = InBuffer.real[m_nR:m_nR + ps] * (math.cos(self.fAngle) * 5) |
|
354 | 354 | InBuffer.imag[m_nR:m_nR + ps] = InBuffer.imag[m_nR:m_nR + ps] * (math.sin(self.fAngle) * 5) |
|
355 | 355 | InBuffer = InBuffer |
|
356 | 356 | self.datablock[i][k] = InBuffer |
|
357 | 357 | |
|
358 | 358 | #----------------DOPPLER SIGNAL............................................... |
|
359 | 359 | time_vec = numpy.linspace(0, (prof_gen - 1) * ippSec, int(prof_gen)) + self.nReadBlocks * ippSec * prof_gen + (self.nReadFiles - 1) * ippSec * prof_gen |
|
360 | 360 | fd = Fdoppler # +(600.0/120)*self.nReadBlocks |
|
361 |
d_signal = Adoppler * numpy.array(numpy.exp(1.0j * 2.0 * math.pi * fd * time_vec), dtype= |
|
|
361 | d_signal = Adoppler * numpy.array(numpy.exp(1.0j * 2.0 * math.pi * fd * time_vec), dtype=complex) | |
|
362 | 362 | #-------------Senal con ancho espectral-------------------- |
|
363 | 363 | if prof_gen % 2 == 0: |
|
364 | 364 | min = int(prof_gen / 2.0 - 1.0) |
|
365 | 365 | max = int(prof_gen / 2.0) |
|
366 | 366 | else: |
|
367 | 367 | min = int(prof_gen / 2.0) |
|
368 | 368 | max = int(prof_gen / 2.0) |
|
369 | 369 | specw_sig = numpy.linspace(-min, max, prof_gen) |
|
370 | 370 | w = 4 |
|
371 | 371 | A = 20 |
|
372 | 372 | specw_sig = specw_sig / w |
|
373 | 373 | specw_sig = numpy.sinc(specw_sig) |
|
374 |
specw_sig = A * numpy.array(specw_sig, dtype= |
|
|
374 | specw_sig = A * numpy.array(specw_sig, dtype=complex) | |
|
375 | 375 | #------------------ DATABLOCK + DOPPLER-------------------- |
|
376 | 376 | HD = int(Hdoppler / self.AcqDH_0) |
|
377 | 377 | for i in range(12): |
|
378 | 378 | self.datablock[0, :, HD + i] = self.datablock[0, :, HD + i] + d_signal # RESULT |
|
379 | 379 | #------------------ DATABLOCK + DOPPLER*Sinc(x)-------------------- |
|
380 | 380 | HD = int(Hdoppler / self.AcqDH_0) |
|
381 | 381 | HD = int(HD / 2) |
|
382 | 382 | for i in range(12): |
|
383 | 383 | self.datablock[0, :, HD + i] = self.datablock[0, :, HD + i] + specw_sig * d_signal # RESULT |
|
384 | 384 | |
|
385 | 385 | def readBlock(self): |
|
386 | 386 | |
|
387 | 387 | self.jro_GenerateBlockOfData(Samples=self.samples, DC_level=self.DC_level, |
|
388 | 388 | stdev=self.stdev, Reference=self.Reference, |
|
389 | 389 | pulses=self.pulses, Num_Codes=self.Num_Codes, |
|
390 | 390 | pulse_size=self.pulse_size, prof_gen=self.profiles, |
|
391 | 391 | H0=self.H0, DH0=self.DH0) |
|
392 | 392 | |
|
393 | 393 | self.profileIndex = 0 |
|
394 | 394 | self.flagIsNewFile = 0 |
|
395 | 395 | self.flagIsNewBlock = 1 |
|
396 | 396 | self.nTotalBlocks += 1 |
|
397 | 397 | self.nReadBlocks += 1 |
|
398 | 398 | |
|
399 | 399 | return 1 |
|
400 | 400 | |
|
401 | 401 | |
|
402 | 402 | def getData(self): |
|
403 | 403 | if self.flagNoMoreFiles: |
|
404 | 404 | self.dataOut.flagNodata = True |
|
405 | 405 | return 0 |
|
406 | 406 | self.flagDiscontinuousBlock = 0 |
|
407 | 407 | self.flagIsNewBlock = 0 |
|
408 | 408 | if self.__hasNotDataInBuffer(): # aqui es verdad |
|
409 | 409 | if not(self.readNextBlock()): # return 1 y por eso el if not salta a getBasic Header |
|
410 | 410 | return 0 |
|
411 | 411 | self.getFirstHeader() # atributo |
|
412 | 412 | |
|
413 | 413 | if not self.getByBlock: |
|
414 | 414 | self.dataOut.flagDataAsBlock = False |
|
415 | 415 | self.dataOut.data = self.datablock[:, self.profileIndex, :] |
|
416 | 416 | self.dataOut.profileIndex = self.profileIndex |
|
417 | 417 | self.profileIndex += 1 |
|
418 | 418 | else: |
|
419 | 419 | pass |
|
420 | 420 | self.dataOut.flagNoData = False |
|
421 | 421 | self.getBasicHeader() |
|
422 | 422 | self.dataOut.realtime = self.online |
|
423 | 423 | return self.dataOut.data |
|
424 | 424 | |
|
425 | 425 | |
|
426 | 426 | def setup(self, frequency=49.92e6, incIntFactor=1, nFFTPoints=0, FixPP_IncInt=1, FixRCP_IPP=1000, |
|
427 | 427 | FixPP_CohInt=1, Tau_0=250, AcqH0_0=70 , AcqDH_0=1.25, Bauds=32, |
|
428 | 428 | FixRCP_TXA=40, FixRCP_TXB=50, fAngle=2.0 * math.pi * (1 / 16), DC_level=50, |
|
429 | 429 | stdev=8, Num_Codes=1 , Dyn_snCode=None, samples=200, |
|
430 | 430 | channels=2, Fdoppler=20, Hdoppler=36, Adoppler=500, |
|
431 | 431 | profilesPerBlock=300, dataBlocksPerFile=120, nTotalReadFiles=10000, |
|
432 | 432 | **kwargs): |
|
433 | 433 | |
|
434 | 434 | self.set_kwargs(**kwargs) |
|
435 | 435 | self.nReadBlocks = 0 |
|
436 | 436 | self.nReadFiles = 1 |
|
437 | 437 | print('------------------- [Opening file: ] ------------------------------', self.nReadFiles) |
|
438 | 438 | |
|
439 | 439 | tmp = time.time() |
|
440 | 440 | tmp_utc = int(tmp) |
|
441 | 441 | tmp_milisecond = int((tmp - tmp_utc) * 1000) |
|
442 | 442 | print(" SETUP -basicHeaderObj.utc", datetime.datetime.utcfromtimestamp(tmp)) |
|
443 | 443 | if Dyn_snCode is None: |
|
444 | 444 | Num_Codes = 1 |
|
445 | 445 | Bauds = 1 |
|
446 | 446 | |
|
447 | 447 | |
|
448 | 448 | |
|
449 | 449 | self.set_BH(utc=tmp_utc, miliSecond=tmp_milisecond, timeZone=300) |
|
450 | 450 | self.set_RCH(expType=0, nTx=150, ipp=FixRCP_IPP, txA=FixRCP_TXA, txB=FixRCP_TXB, |
|
451 | 451 | nWindows=1 , nHeights=samples, firstHeight=AcqH0_0, deltaHeight=AcqDH_0, |
|
452 | 452 | numTaus=1, line6Function=0, line5Function=0, fClock=None, |
|
453 | 453 | prePulseBefore=0, prePulseAfter=0, |
|
454 | 454 | codeType=0, nCode=Num_Codes, nBaud=32, code=Dyn_snCode, |
|
455 | 455 | flip1=0, flip2=0, Taus=Tau_0) |
|
456 | 456 | |
|
457 | 457 | self.set_PH(dtype=0, blockSize=0, profilesPerBlock=profilesPerBlock, |
|
458 | 458 | dataBlocksPerFile=dataBlocksPerFile, nWindows=1, processFlags=numpy.array([1024]), nCohInt=1, |
|
459 | 459 | nIncohInt=1, totalSpectra=0, nHeights=samples, firstHeight=AcqH0_0, |
|
460 | 460 | deltaHeight=AcqDH_0, samplesWin=samples, spectraComb=0, nCode=0, |
|
461 | 461 | code=0, nBaud=None, shif_fft=False, flag_dc=False, |
|
462 | 462 | flag_cspc=False, flag_decode=False, flag_deflip=False) |
|
463 | 463 | |
|
464 | 464 | self.set_SH(nSamples=samples, nProfiles=profilesPerBlock, nChannels=channels) |
|
465 | 465 | |
|
466 | 466 | self.readFirstHeader() |
|
467 | 467 | |
|
468 | 468 | self.frequency = frequency |
|
469 | 469 | self.incIntFactor = incIntFactor |
|
470 | 470 | self.nFFTPoints = nFFTPoints |
|
471 | 471 | self.FixPP_IncInt = FixPP_IncInt |
|
472 | 472 | self.FixRCP_IPP = FixRCP_IPP |
|
473 | 473 | self.FixPP_CohInt = FixPP_CohInt |
|
474 | 474 | self.Tau_0 = Tau_0 |
|
475 | 475 | self.AcqH0_0 = AcqH0_0 |
|
476 | 476 | self.H0 = AcqH0_0 |
|
477 | 477 | self.AcqDH_0 = AcqDH_0 |
|
478 | 478 | self.DH0 = AcqDH_0 |
|
479 | 479 | self.Bauds = Bauds |
|
480 | 480 | self.FixRCP_TXA = FixRCP_TXA |
|
481 | 481 | self.FixRCP_TXB = FixRCP_TXB |
|
482 | 482 | self.fAngle = fAngle |
|
483 | 483 | self.DC_level = DC_level |
|
484 | 484 | self.stdev = stdev |
|
485 | 485 | self.Num_Codes = Num_Codes |
|
486 | 486 | self.Dyn_snCode = Dyn_snCode |
|
487 | 487 | self.samples = samples |
|
488 | 488 | self.channels = channels |
|
489 | 489 | self.profiles = None |
|
490 | 490 | self.m_nReference = None |
|
491 | 491 | self.Baudwidth = None |
|
492 | 492 | self.Fdoppler = Fdoppler |
|
493 | 493 | self.Hdoppler = Hdoppler |
|
494 | 494 | self.Adoppler = Adoppler |
|
495 | 495 | self.nTotalReadFiles = int(nTotalReadFiles) |
|
496 | 496 | |
|
497 | 497 | print("IPP ", self.FixRCP_IPP) |
|
498 | 498 | print("Tau_0 ", self.Tau_0) |
|
499 | 499 | print("AcqH0_0", self.AcqH0_0) |
|
500 | 500 | print("samples,window ", self.samples) |
|
501 | 501 | print("AcqDH_0", AcqDH_0) |
|
502 | 502 | print("FixRCP_TXA", self.FixRCP_TXA) |
|
503 | 503 | print("FixRCP_TXB", self.FixRCP_TXB) |
|
504 | 504 | print("Dyn_snCode", Dyn_snCode) |
|
505 | 505 | print("Fdoppler", Fdoppler) |
|
506 | 506 | print("Hdoppler", Hdoppler) |
|
507 | 507 | print("Vdopplermax", Fdoppler * (3.0e8 / self.frequency) / 2.0) |
|
508 | 508 | print("nTotalReadFiles", nTotalReadFiles) |
|
509 | 509 | |
|
510 | 510 | self.init_acquisition() |
|
511 | 511 | self.pulses, self.pulse_size = self.init_pulse(Num_Codes=self.Num_Codes, Bauds=self.Bauds, BaudWidth=self.BaudWidth, Dyn_snCode=Dyn_snCode) |
|
512 | 512 | print(" [ END ] - SETUP metodo") |
|
513 | 513 | return |
|
514 | 514 | |
|
515 | 515 | def run(self, **kwargs): # metodo propio |
|
516 | 516 | if not(self.isConfig): |
|
517 | 517 | self.setup(**kwargs) |
|
518 | 518 | self.isConfig = True |
|
519 | 519 | self.getData() |
@@ -1,602 +1,602 | |||
|
1 | 1 | ''' |
|
2 | 2 | Created on Jul 3, 2014 |
|
3 | 3 | |
|
4 | 4 | @author: roj-idl71 |
|
5 | 5 | ''' |
|
6 | 6 | import os |
|
7 | 7 | import datetime |
|
8 | 8 | import numpy |
|
9 | 9 | |
|
10 | 10 | try: |
|
11 | 11 | from gevent import sleep |
|
12 | 12 | except: |
|
13 | 13 | from time import sleep |
|
14 | 14 | |
|
15 | 15 | from schainpy.model.data.jroheaderIO import RadarControllerHeader, SystemHeader |
|
16 | 16 | from schainpy.model.data.jrodata import Voltage |
|
17 | 17 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
18 | 18 | |
|
19 | 19 | try: |
|
20 | 20 | import digital_rf_hdf5 |
|
21 | 21 | except: |
|
22 | 22 | pass |
|
23 | 23 | |
|
24 | 24 | class USRPReader(ProcessingUnit): |
|
25 | 25 | ''' |
|
26 | 26 | classdocs |
|
27 | 27 | ''' |
|
28 | 28 | |
|
29 | 29 | def __init__(self, **kwargs): |
|
30 | 30 | ''' |
|
31 | 31 | Constructor |
|
32 | 32 | ''' |
|
33 | 33 | |
|
34 | 34 | ProcessingUnit.__init__(self, **kwargs) |
|
35 | 35 | |
|
36 | 36 | self.dataOut = Voltage() |
|
37 | 37 | self.__printInfo = True |
|
38 | 38 | self.__flagDiscontinuousBlock = False |
|
39 | 39 | self.__bufferIndex = 9999999 |
|
40 | 40 | |
|
41 | 41 | self.__ippKm = None |
|
42 | 42 | self.__codeType = 0 |
|
43 | 43 | self.__nCode = None |
|
44 | 44 | self.__nBaud = None |
|
45 | 45 | self.__code = None |
|
46 | 46 | |
|
47 | 47 | def __getCurrentSecond(self): |
|
48 | 48 | |
|
49 | 49 | return self.__thisUnixSample / self.__sample_rate |
|
50 | 50 | |
|
51 | 51 | thisSecond = property(__getCurrentSecond, "I'm the 'thisSecond' property.") |
|
52 | 52 | |
|
53 | 53 | def __setFileHeader(self): |
|
54 | 54 | ''' |
|
55 | 55 | In this method will be initialized every parameter of dataOut object (header, no data) |
|
56 | 56 | ''' |
|
57 | 57 | ippSeconds = 1.0 * self.__nSamples / self.__sample_rate |
|
58 | 58 | |
|
59 | 59 | nProfiles = 1.0 / ippSeconds # Number of profiles in one second |
|
60 | 60 | |
|
61 | 61 | self.dataOut.radarControllerHeaderObj = RadarControllerHeader(ipp=self.__ippKm, |
|
62 | 62 | txA=0, |
|
63 | 63 | txB=0, |
|
64 | 64 | nWindows=1, |
|
65 | 65 | nHeights=self.__nSamples, |
|
66 | 66 | firstHeight=self.__firstHeigth, |
|
67 | 67 | deltaHeight=self.__deltaHeigth, |
|
68 | 68 | codeType=self.__codeType, |
|
69 | 69 | nCode=self.__nCode, nBaud=self.__nBaud, |
|
70 | 70 | code=self.__code) |
|
71 | 71 | |
|
72 | 72 | self.dataOut.systemHeaderObj = SystemHeader(nSamples=self.__nSamples, |
|
73 | 73 | nProfiles=nProfiles, |
|
74 | 74 | nChannels=len(self.__channelList), |
|
75 | 75 | adcResolution=14) |
|
76 | 76 | |
|
77 | 77 | self.dataOut.type = "Voltage" |
|
78 | 78 | |
|
79 | 79 | self.dataOut.data = None |
|
80 | 80 | |
|
81 | 81 | self.dataOut.dtype = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
82 | 82 | |
|
83 | 83 | # self.dataOut.nChannels = 0 |
|
84 | 84 | |
|
85 | 85 | # self.dataOut.nHeights = 0 |
|
86 | 86 | |
|
87 | 87 | self.dataOut.nProfiles = nProfiles |
|
88 | 88 | |
|
89 | self.dataOut.heightList = self.__firstHeigth + numpy.arange(self.__nSamples, dtype=numpy.float) * self.__deltaHeigth | |
|
89 | self.dataOut.heightList = self.__firstHeigth + numpy.arange(self.__nSamples, dtype=numpy.float32) * self.__deltaHeigth | |
|
90 | 90 | |
|
91 | 91 | self.dataOut.channelList = self.__channelList |
|
92 | 92 | |
|
93 | 93 | self.dataOut.blocksize = self.dataOut.nChannels * self.dataOut.nHeights |
|
94 | 94 | |
|
95 | 95 | # self.dataOut.channelIndexList = None |
|
96 | 96 | |
|
97 | 97 | self.dataOut.flagNoData = True |
|
98 | 98 | |
|
99 | 99 | # Set to TRUE if the data is discontinuous |
|
100 | 100 | self.dataOut.flagDiscontinuousBlock = False |
|
101 | 101 | |
|
102 | 102 | self.dataOut.utctime = None |
|
103 | 103 | |
|
104 | 104 | self.dataOut.timeZone = self.__timezone / 60 # timezone like jroheader, difference in minutes between UTC and localtime |
|
105 | 105 | |
|
106 | 106 | self.dataOut.dstFlag = 0 |
|
107 | 107 | |
|
108 | 108 | self.dataOut.errorCount = 0 |
|
109 | 109 | |
|
110 | 110 | self.dataOut.nCohInt = 1 |
|
111 | 111 | |
|
112 | 112 | self.dataOut.flagDecodeData = False # asumo que la data esta decodificada |
|
113 | 113 | |
|
114 | 114 | self.dataOut.flagDeflipData = False # asumo que la data esta sin flip |
|
115 | 115 | |
|
116 | 116 | self.dataOut.flagShiftFFT = False |
|
117 | 117 | |
|
118 | 118 | self.dataOut.ippSeconds = ippSeconds |
|
119 | 119 | |
|
120 | 120 | # Time interval between profiles |
|
121 | 121 | # self.dataOut.timeInterval = self.dataOut.ippSeconds * self.dataOut.nCohInt |
|
122 | 122 | |
|
123 | 123 | self.dataOut.frequency = self.__frequency |
|
124 | 124 | |
|
125 | 125 | self.dataOut.realtime = self.__online |
|
126 | 126 | |
|
127 | 127 | def findDatafiles(self, path, startDate=None, endDate=None): |
|
128 | 128 | |
|
129 | 129 | if not os.path.isdir(path): |
|
130 | 130 | return [] |
|
131 | 131 | |
|
132 | 132 | try: |
|
133 | 133 | digitalReadObj = digital_rf_hdf5.read_hdf5(path, load_all_metadata=True) |
|
134 | 134 | except: |
|
135 | 135 | digitalReadObj = digital_rf_hdf5.read_hdf5(path) |
|
136 | 136 | |
|
137 | 137 | channelNameList = digitalReadObj.get_channels() |
|
138 | 138 | |
|
139 | 139 | if not channelNameList: |
|
140 | 140 | return [] |
|
141 | 141 | |
|
142 | 142 | metadata_dict = digitalReadObj.get_rf_file_metadata(channelNameList[0]) |
|
143 | 143 | |
|
144 | 144 | sample_rate = metadata_dict['sample_rate'][0] |
|
145 | 145 | |
|
146 | 146 | this_metadata_file = digitalReadObj.get_metadata(channelNameList[0]) |
|
147 | 147 | |
|
148 | 148 | try: |
|
149 | 149 | timezone = this_metadata_file['timezone'].value |
|
150 | 150 | except: |
|
151 | 151 | timezone = 0 |
|
152 | 152 | |
|
153 | 153 | startUTCSecond, endUTCSecond = digitalReadObj.get_bounds(channelNameList[0]) / sample_rate - timezone |
|
154 | 154 | |
|
155 | 155 | startDatetime = datetime.datetime.utcfromtimestamp(startUTCSecond) |
|
156 | 156 | endDatatime = datetime.datetime.utcfromtimestamp(endUTCSecond) |
|
157 | 157 | |
|
158 | 158 | if not startDate: |
|
159 | 159 | startDate = startDatetime.date() |
|
160 | 160 | |
|
161 | 161 | if not endDate: |
|
162 | 162 | endDate = endDatatime.date() |
|
163 | 163 | |
|
164 | 164 | dateList = [] |
|
165 | 165 | |
|
166 | 166 | thisDatetime = startDatetime |
|
167 | 167 | |
|
168 | 168 | while(thisDatetime <= endDatatime): |
|
169 | 169 | |
|
170 | 170 | thisDate = thisDatetime.date() |
|
171 | 171 | |
|
172 | 172 | if thisDate < startDate: |
|
173 | 173 | continue |
|
174 | 174 | |
|
175 | 175 | if thisDate > endDate: |
|
176 | 176 | break |
|
177 | 177 | |
|
178 | 178 | dateList.append(thisDate) |
|
179 | 179 | thisDatetime += datetime.timedelta(1) |
|
180 | 180 | |
|
181 | 181 | return dateList |
|
182 | 182 | |
|
183 | 183 | def setup(self, path=None, |
|
184 | 184 | startDate=None, |
|
185 | 185 | endDate=None, |
|
186 | 186 | startTime=datetime.time(0, 0, 0), |
|
187 | 187 | endTime=datetime.time(23, 59, 59), |
|
188 | 188 | channelList=None, |
|
189 | 189 | nSamples=None, |
|
190 | 190 | ippKm=60, |
|
191 | 191 | online=False, |
|
192 | 192 | delay=60, |
|
193 | 193 | buffer_size=1024, |
|
194 | 194 | **kwargs): |
|
195 | 195 | ''' |
|
196 | 196 | In this method we should set all initial parameters. |
|
197 | 197 | |
|
198 | 198 | Inputs: |
|
199 | 199 | path |
|
200 | 200 | startDate |
|
201 | 201 | endDate |
|
202 | 202 | startTime |
|
203 | 203 | endTime |
|
204 | 204 | set |
|
205 | 205 | expLabel |
|
206 | 206 | ext |
|
207 | 207 | online |
|
208 | 208 | delay |
|
209 | 209 | ''' |
|
210 | 210 | |
|
211 | 211 | if not os.path.isdir(path): |
|
212 | 212 | raise ValueError("[Reading] Directory %s does not exist" % path) |
|
213 | 213 | |
|
214 | 214 | try: |
|
215 | 215 | self.digitalReadObj = digital_rf_hdf5.read_hdf5(path, load_all_metadata=True) |
|
216 | 216 | except: |
|
217 | 217 | self.digitalReadObj = digital_rf_hdf5.read_hdf5(path) |
|
218 | 218 | |
|
219 | 219 | channelNameList = self.digitalReadObj.get_channels() |
|
220 | 220 | |
|
221 | 221 | if not channelNameList: |
|
222 | 222 | raise ValueError("[Reading] Directory %s does not have any files" % path) |
|
223 | 223 | |
|
224 | 224 | if not channelList: |
|
225 | 225 | channelList = list(range(len(channelNameList))) |
|
226 | 226 | |
|
227 | 227 | ########## Reading metadata ###################### |
|
228 | 228 | |
|
229 | 229 | metadata_dict = self.digitalReadObj.get_rf_file_metadata(channelNameList[channelList[0]]) |
|
230 | 230 | |
|
231 | 231 | self.__sample_rate = metadata_dict['sample_rate'][0] |
|
232 | 232 | # self.__samples_per_file = metadata_dict['samples_per_file'][0] |
|
233 | 233 | self.__deltaHeigth = 1e6 * 0.15 / self.__sample_rate |
|
234 | 234 | |
|
235 | 235 | this_metadata_file = self.digitalReadObj.get_metadata(channelNameList[channelList[0]]) |
|
236 | 236 | |
|
237 | 237 | self.__frequency = None |
|
238 | 238 | try: |
|
239 | 239 | self.__frequency = this_metadata_file['center_frequencies'].value |
|
240 | 240 | except: |
|
241 | 241 | self.__frequency = this_metadata_file['fc'].value |
|
242 | 242 | |
|
243 | 243 | if not self.__frequency: |
|
244 | 244 | raise ValueError("Center Frequency is not defined in metadata file") |
|
245 | 245 | |
|
246 | 246 | try: |
|
247 | 247 | self.__timezone = this_metadata_file['timezone'].value |
|
248 | 248 | except: |
|
249 | 249 | self.__timezone = 0 |
|
250 | 250 | |
|
251 | 251 | self.__firstHeigth = 0 |
|
252 | 252 | |
|
253 | 253 | try: |
|
254 | 254 | codeType = this_metadata_file['codeType'].value |
|
255 | 255 | except: |
|
256 | 256 | codeType = 0 |
|
257 | 257 | |
|
258 | 258 | nCode = 1 |
|
259 | 259 | nBaud = 1 |
|
260 | code = numpy.ones((nCode, nBaud), dtype=numpy.int) | |
|
260 | code = numpy.ones((nCode, nBaud), dtype=numpy.int32) | |
|
261 | 261 | |
|
262 | 262 | if codeType: |
|
263 | 263 | nCode = this_metadata_file['nCode'].value |
|
264 | 264 | nBaud = this_metadata_file['nBaud'].value |
|
265 | 265 | code = this_metadata_file['code'].value |
|
266 | 266 | |
|
267 | 267 | if not ippKm: |
|
268 | 268 | try: |
|
269 | 269 | # seconds to km |
|
270 | 270 | ippKm = 1e6 * 0.15 * this_metadata_file['ipp'].value |
|
271 | 271 | except: |
|
272 | 272 | ippKm = None |
|
273 | 273 | |
|
274 | 274 | #################################################### |
|
275 | 275 | startUTCSecond = None |
|
276 | 276 | endUTCSecond = None |
|
277 | 277 | |
|
278 | 278 | if startDate: |
|
279 | 279 | startDatetime = datetime.datetime.combine(startDate, startTime) |
|
280 | 280 | startUTCSecond = (startDatetime - datetime.datetime(1970, 1, 1)).total_seconds() + self.__timezone |
|
281 | 281 | |
|
282 | 282 | if endDate: |
|
283 | 283 | endDatetime = datetime.datetime.combine(endDate, endTime) |
|
284 | 284 | endUTCSecond = (endDatetime - datetime.datetime(1970, 1, 1)).total_seconds() + self.__timezone |
|
285 | 285 | |
|
286 | 286 | start_index, end_index = self.digitalReadObj.get_bounds(channelNameList[channelList[0]]) |
|
287 | 287 | |
|
288 | 288 | if not startUTCSecond: |
|
289 | 289 | startUTCSecond = start_index / self.__sample_rate |
|
290 | 290 | |
|
291 | 291 | if start_index > startUTCSecond * self.__sample_rate: |
|
292 | 292 | startUTCSecond = start_index / self.__sample_rate |
|
293 | 293 | |
|
294 | 294 | if not endUTCSecond: |
|
295 | 295 | endUTCSecond = end_index / self.__sample_rate |
|
296 | 296 | |
|
297 | 297 | if end_index < endUTCSecond * self.__sample_rate: |
|
298 | 298 | endUTCSecond = end_index / self.__sample_rate |
|
299 | 299 | |
|
300 | 300 | if not nSamples: |
|
301 | 301 | if not ippKm: |
|
302 | 302 | raise ValueError("[Reading] nSamples or ippKm should be defined") |
|
303 | 303 | |
|
304 | 304 | nSamples = int(ippKm / (1e6 * 0.15 / self.__sample_rate)) |
|
305 | 305 | |
|
306 | 306 | channelBoundList = [] |
|
307 | 307 | channelNameListFiltered = [] |
|
308 | 308 | |
|
309 | 309 | for thisIndexChannel in channelList: |
|
310 | 310 | thisChannelName = channelNameList[thisIndexChannel] |
|
311 | 311 | start_index, end_index = self.digitalReadObj.get_bounds(thisChannelName) |
|
312 | 312 | channelBoundList.append((start_index, end_index)) |
|
313 | 313 | channelNameListFiltered.append(thisChannelName) |
|
314 | 314 | |
|
315 | 315 | self.profileIndex = 0 |
|
316 | 316 | |
|
317 | 317 | self.__delay = delay |
|
318 | 318 | self.__ippKm = ippKm |
|
319 | 319 | self.__codeType = codeType |
|
320 | 320 | self.__nCode = nCode |
|
321 | 321 | self.__nBaud = nBaud |
|
322 | 322 | self.__code = code |
|
323 | 323 | |
|
324 | 324 | self.__datapath = path |
|
325 | 325 | self.__online = online |
|
326 | 326 | self.__channelList = channelList |
|
327 | 327 | self.__channelNameList = channelNameListFiltered |
|
328 | 328 | self.__channelBoundList = channelBoundList |
|
329 | 329 | self.__nSamples = nSamples |
|
330 | 330 | self.__samples_to_read = int(buffer_size * nSamples) |
|
331 | 331 | self.__nChannels = len(self.__channelList) |
|
332 | 332 | |
|
333 | 333 | self.__startUTCSecond = startUTCSecond |
|
334 | 334 | self.__endUTCSecond = endUTCSecond |
|
335 | 335 | |
|
336 | 336 | self.__timeInterval = 1.0 * self.__samples_to_read / self.__sample_rate # Time interval |
|
337 | 337 | |
|
338 | 338 | if online: |
|
339 | 339 | # self.__thisUnixSample = int(endUTCSecond*self.__sample_rate - 4*self.__samples_to_read) |
|
340 | 340 | startUTCSecond = numpy.floor(endUTCSecond) |
|
341 | 341 | |
|
342 | 342 | self.__thisUnixSample = int(startUTCSecond * self.__sample_rate) - self.__samples_to_read |
|
343 | 343 | |
|
344 |
self.__data_buffer = numpy.zeros((self.__nChannels, self.__samples_to_read), dtype= |
|
|
344 | self.__data_buffer = numpy.zeros((self.__nChannels, self.__samples_to_read), dtype=complex) | |
|
345 | 345 | |
|
346 | 346 | self.__setFileHeader() |
|
347 | 347 | self.isConfig = True |
|
348 | 348 | |
|
349 | 349 | print("[Reading] USRP Data was found from %s to %s " % ( |
|
350 | 350 | datetime.datetime.utcfromtimestamp(self.__startUTCSecond - self.__timezone), |
|
351 | 351 | datetime.datetime.utcfromtimestamp(self.__endUTCSecond - self.__timezone) |
|
352 | 352 | )) |
|
353 | 353 | |
|
354 | 354 | print("[Reading] Starting process from %s to %s" % (datetime.datetime.utcfromtimestamp(startUTCSecond - self.__timezone), |
|
355 | 355 | datetime.datetime.utcfromtimestamp(endUTCSecond - self.__timezone) |
|
356 | 356 | )) |
|
357 | 357 | |
|
358 | 358 | def __reload(self): |
|
359 | 359 | |
|
360 | 360 | if not self.__online: |
|
361 | 361 | return |
|
362 | 362 | |
|
363 | 363 | |
|
364 | 364 | # print "%s not in range [%s, %s]" %( |
|
365 | 365 | # datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), |
|
366 | 366 | # datetime.datetime.utcfromtimestamp(self.__startUTCSecond - self.__timezone), |
|
367 | 367 | # datetime.datetime.utcfromtimestamp(self.__endUTCSecond - self.__timezone) |
|
368 | 368 | # ) |
|
369 | 369 | print("[Reading] reloading metadata ...") |
|
370 | 370 | |
|
371 | 371 | try: |
|
372 | 372 | self.digitalReadObj.reload(complete_update=True) |
|
373 | 373 | except: |
|
374 | 374 | self.digitalReadObj.reload() |
|
375 | 375 | |
|
376 | 376 | start_index, end_index = self.digitalReadObj.get_bounds(self.__channelNameList[self.__channelList[0]]) |
|
377 | 377 | |
|
378 | 378 | if start_index > self.__startUTCSecond * self.__sample_rate: |
|
379 | 379 | self.__startUTCSecond = 1.0 * start_index / self.__sample_rate |
|
380 | 380 | |
|
381 | 381 | if end_index > self.__endUTCSecond * self.__sample_rate: |
|
382 | 382 | self.__endUTCSecond = 1.0 * end_index / self.__sample_rate |
|
383 | 383 | print() |
|
384 | 384 | print("[Reading] New timerange found [%s, %s] " % ( |
|
385 | 385 | datetime.datetime.utcfromtimestamp(self.__startUTCSecond - self.__timezone), |
|
386 | 386 | datetime.datetime.utcfromtimestamp(self.__endUTCSecond - self.__timezone) |
|
387 | 387 | )) |
|
388 | 388 | |
|
389 | 389 | return True |
|
390 | 390 | |
|
391 | 391 | return False |
|
392 | 392 | |
|
393 | 393 | def __readNextBlock(self, seconds=30, volt_scale=218776): |
|
394 | 394 | ''' |
|
395 | 395 | ''' |
|
396 | 396 | |
|
397 | 397 | # Set the next data |
|
398 | 398 | self.__flagDiscontinuousBlock = False |
|
399 | 399 | self.__thisUnixSample += self.__samples_to_read |
|
400 | 400 | |
|
401 | 401 | if self.__thisUnixSample + 2 * self.__samples_to_read > self.__endUTCSecond * self.__sample_rate: |
|
402 | 402 | print("[Reading] There are no more data into selected time-range") |
|
403 | 403 | |
|
404 | 404 | self.__reload() |
|
405 | 405 | |
|
406 | 406 | if self.__thisUnixSample + 2 * self.__samples_to_read > self.__endUTCSecond * self.__sample_rate: |
|
407 | 407 | self.__thisUnixSample -= self.__samples_to_read |
|
408 | 408 | return False |
|
409 | 409 | |
|
410 | 410 | indexChannel = 0 |
|
411 | 411 | |
|
412 | 412 | dataOk = False |
|
413 | 413 | |
|
414 | 414 | for thisChannelName in self.__channelNameList: |
|
415 | 415 | |
|
416 | 416 | try: |
|
417 | 417 | result = self.digitalReadObj.read_vector_c81d(self.__thisUnixSample, |
|
418 | 418 | self.__samples_to_read, |
|
419 | 419 | thisChannelName) |
|
420 | 420 | |
|
421 | 421 | except IOError as e: |
|
422 | 422 | # read next profile |
|
423 | 423 | self.__flagDiscontinuousBlock = True |
|
424 | 424 | print("[Reading] %s" % datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), e) |
|
425 | 425 | break |
|
426 | 426 | |
|
427 | 427 | if result.shape[0] != self.__samples_to_read: |
|
428 | 428 | self.__flagDiscontinuousBlock = True |
|
429 | 429 | print("[Reading] %s: Too few samples were found, just %d/%d samples" % (datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), |
|
430 | 430 | result.shape[0], |
|
431 | 431 | self.__samples_to_read)) |
|
432 | 432 | break |
|
433 | 433 | |
|
434 | 434 | self.__data_buffer[indexChannel, :] = result * volt_scale |
|
435 | 435 | |
|
436 | 436 | indexChannel += 1 |
|
437 | 437 | |
|
438 | 438 | dataOk = True |
|
439 | 439 | |
|
440 | 440 | self.__utctime = self.__thisUnixSample / self.__sample_rate |
|
441 | 441 | |
|
442 | 442 | if not dataOk: |
|
443 | 443 | return False |
|
444 | 444 | |
|
445 | 445 | print("[Reading] %s: %d samples <> %f sec" % (datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), |
|
446 | 446 | self.__samples_to_read, |
|
447 | 447 | self.__timeInterval)) |
|
448 | 448 | |
|
449 | 449 | self.__bufferIndex = 0 |
|
450 | 450 | |
|
451 | 451 | return True |
|
452 | 452 | |
|
453 | 453 | def __isBufferEmpty(self): |
|
454 | 454 | |
|
455 | 455 | if self.__bufferIndex <= self.__samples_to_read - self.__nSamples: |
|
456 | 456 | return False |
|
457 | 457 | |
|
458 | 458 | return True |
|
459 | 459 | |
|
460 | 460 | def getData(self, seconds=30, nTries=5): |
|
461 | 461 | |
|
462 | 462 | ''' |
|
463 | 463 | This method gets the data from files and put the data into the dataOut object |
|
464 | 464 | |
|
465 | 465 | In addition, increase el the buffer counter in one. |
|
466 | 466 | |
|
467 | 467 | Return: |
|
468 | 468 | data : retorna un perfil de voltages (alturas * canales) copiados desde el |
|
469 | 469 | buffer. Si no hay mas archivos a leer retorna None. |
|
470 | 470 | |
|
471 | 471 | Affected: |
|
472 | 472 | self.dataOut |
|
473 | 473 | self.profileIndex |
|
474 | 474 | self.flagDiscontinuousBlock |
|
475 | 475 | self.flagIsNewBlock |
|
476 | 476 | ''' |
|
477 | 477 | |
|
478 | 478 | err_counter = 0 |
|
479 | 479 | self.dataOut.flagNoData = True |
|
480 | 480 | |
|
481 | 481 | if self.__isBufferEmpty(): |
|
482 | 482 | |
|
483 | 483 | self.__flagDiscontinuousBlock = False |
|
484 | 484 | |
|
485 | 485 | while True: |
|
486 | 486 | if self.__readNextBlock(): |
|
487 | 487 | break |
|
488 | 488 | |
|
489 | 489 | if self.__thisUnixSample > self.__endUTCSecond * self.__sample_rate: |
|
490 | 490 | return False |
|
491 | 491 | |
|
492 | 492 | if self.__flagDiscontinuousBlock: |
|
493 | 493 | print('[Reading] discontinuous block found ... continue with the next block') |
|
494 | 494 | continue |
|
495 | 495 | |
|
496 | 496 | if not self.__online: |
|
497 | 497 | return False |
|
498 | 498 | |
|
499 | 499 | err_counter += 1 |
|
500 | 500 | if err_counter > nTries: |
|
501 | 501 | return False |
|
502 | 502 | |
|
503 | 503 | print('[Reading] waiting %d seconds to read a new block' % seconds) |
|
504 | 504 | sleep(seconds) |
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505 | 505 | |
|
506 | 506 | self.dataOut.data = self.__data_buffer[:, self.__bufferIndex:self.__bufferIndex + self.__nSamples] |
|
507 | 507 | self.dataOut.utctime = (self.__thisUnixSample + self.__bufferIndex) / self.__sample_rate |
|
508 | 508 | self.dataOut.flagNoData = False |
|
509 | 509 | self.dataOut.flagDiscontinuousBlock = self.__flagDiscontinuousBlock |
|
510 | 510 | self.dataOut.profileIndex = self.profileIndex |
|
511 | 511 | |
|
512 | 512 | self.__bufferIndex += self.__nSamples |
|
513 | 513 | self.profileIndex += 1 |
|
514 | 514 | |
|
515 | 515 | if self.profileIndex == self.dataOut.nProfiles: |
|
516 | 516 | self.profileIndex = 0 |
|
517 | 517 | |
|
518 | 518 | return True |
|
519 | 519 | |
|
520 | 520 | def printInfo(self): |
|
521 | 521 | ''' |
|
522 | 522 | ''' |
|
523 | 523 | if self.__printInfo == False: |
|
524 | 524 | return |
|
525 | 525 | |
|
526 | 526 | # self.systemHeaderObj.printInfo() |
|
527 | 527 | # self.radarControllerHeaderObj.printInfo() |
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528 | 528 | |
|
529 | 529 | self.__printInfo = False |
|
530 | 530 | |
|
531 | 531 | def printNumberOfBlock(self): |
|
532 | 532 | ''' |
|
533 | 533 | ''' |
|
534 | 534 | |
|
535 | 535 | print(self.profileIndex) |
|
536 | 536 | |
|
537 | 537 | def run(self, **kwargs): |
|
538 | 538 | ''' |
|
539 | 539 | This method will be called many times so here you should put all your code |
|
540 | 540 | ''' |
|
541 | 541 | |
|
542 | 542 | if not self.isConfig: |
|
543 | 543 | self.setup(**kwargs) |
|
544 | 544 | |
|
545 | 545 | self.getData(seconds=self.__delay) |
|
546 | 546 | |
|
547 | 547 | return |
|
548 | 548 | |
|
549 | 549 | |
|
550 | 550 | @MPDecorator |
|
551 | 551 | class USRPWriter(Operation): |
|
552 | 552 | ''' |
|
553 | 553 | classdocs |
|
554 | 554 | ''' |
|
555 | 555 | |
|
556 | 556 | def __init__(self, **kwargs): |
|
557 | 557 | ''' |
|
558 | 558 | Constructor |
|
559 | 559 | ''' |
|
560 | 560 | Operation.__init__(self, **kwargs) |
|
561 | 561 | self.dataOut = None |
|
562 | 562 | |
|
563 | 563 | def setup(self, dataIn, path, blocksPerFile, set=0, ext=None): |
|
564 | 564 | ''' |
|
565 | 565 | In this method we should set all initial parameters. |
|
566 | 566 | |
|
567 | 567 | Input: |
|
568 | 568 | dataIn : Input data will also be outputa data |
|
569 | 569 | |
|
570 | 570 | ''' |
|
571 | 571 | self.dataOut = dataIn |
|
572 | 572 | |
|
573 | 573 | |
|
574 | 574 | |
|
575 | 575 | |
|
576 | 576 | |
|
577 | 577 | self.isConfig = True |
|
578 | 578 | |
|
579 | 579 | return |
|
580 | 580 | |
|
581 | 581 | def run(self, dataIn, **kwargs): |
|
582 | 582 | ''' |
|
583 | 583 | This method will be called many times so here you should put all your code |
|
584 | 584 | |
|
585 | 585 | Inputs: |
|
586 | 586 | |
|
587 | 587 | dataIn : object with the data |
|
588 | 588 | |
|
589 | 589 | ''' |
|
590 | 590 | |
|
591 | 591 | if not self.isConfig: |
|
592 | 592 | self.setup(dataIn, **kwargs) |
|
593 | 593 | |
|
594 | 594 | |
|
595 | 595 | if __name__ == '__main__': |
|
596 | 596 | |
|
597 | 597 | readObj = USRPReader() |
|
598 | 598 | |
|
599 | 599 | while True: |
|
600 | 600 | readObj.run(path='/Volumes/DATA/haystack/passive_radar/') |
|
601 | 601 | # readObj.printInfo() |
|
602 | 602 | readObj.printNumberOfBlock() |
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