@@ -1,678 +1,678 | |||
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1 | 1 | ''' |
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2 | 2 | Created on Jul 2, 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 | import numpy |
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7 | 7 | |
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8 | 8 | from schainpy.model.io.jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
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9 | 9 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
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10 | 10 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
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11 | 11 | from schainpy.model.data.jrodata import Spectra |
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12 | 12 | from schainpy.utils import log |
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13 | 13 | |
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14 | 14 | @MPDecorator |
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15 | 15 | class SpectraReader(JRODataReader, ProcessingUnit): |
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16 | 16 | """ |
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17 | 17 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura |
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18 | 18 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) |
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19 | 19 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. |
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20 | 20 | |
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21 | 21 | paresCanalesIguales * alturas * perfiles (Self Spectra) |
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22 | 22 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) |
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23 | 23 | canales * alturas (DC Channels) |
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24 | 24 | |
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25 | 25 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
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26 | 26 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la |
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27 | 27 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de |
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28 | 28 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
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29 | 29 | |
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30 | 30 | Example: |
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31 | 31 | dpath = "/home/myuser/data" |
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32 | 32 | |
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33 | 33 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
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34 | 34 | |
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35 | 35 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
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36 | 36 | |
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37 | 37 | readerObj = SpectraReader() |
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38 | 38 | |
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39 | 39 | readerObj.setup(dpath, startTime, endTime) |
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40 | 40 | |
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41 | 41 | while(True): |
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42 | 42 | |
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43 | 43 | readerObj.getData() |
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44 | 44 | |
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45 | 45 | print readerObj.data_spc |
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46 | 46 | |
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47 | 47 | print readerObj.data_cspc |
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48 | 48 | |
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49 | 49 | print readerObj.data_dc |
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50 | 50 | |
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51 | 51 | if readerObj.flagNoMoreFiles: |
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52 | 52 | break |
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53 | 53 | |
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54 | 54 | """ |
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55 | 55 | |
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56 | 56 | pts2read_SelfSpectra = 0 |
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57 | 57 | |
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58 | 58 | pts2read_CrossSpectra = 0 |
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59 | 59 | |
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60 | 60 | pts2read_DCchannels = 0 |
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61 | 61 | |
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62 | 62 | ext = ".pdata" |
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63 | 63 | |
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64 | 64 | optchar = "P" |
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65 | 65 | |
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66 | 66 | dataOut = None |
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67 | 67 | |
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68 | 68 | nRdChannels = None |
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69 | 69 | |
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70 | 70 | nRdPairs = None |
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71 | 71 | |
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72 | 72 | rdPairList = [] |
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73 | 73 | |
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74 | 74 | def __init__(self):#, **kwargs): |
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75 | 75 | """ |
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76 | 76 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. |
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77 | 77 | |
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78 | 78 | Inputs: |
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79 | 79 | dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para |
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80 | 80 | almacenar un perfil de datos cada vez que se haga un requerimiento |
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81 | 81 | (getData). El perfil sera obtenido a partir del buffer de datos, |
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82 | 82 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
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83 | 83 | bloque de datos. |
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84 | 84 | Si este parametro no es pasado se creara uno internamente. |
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85 | 85 | |
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86 | 86 | Affected: |
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87 | 87 | self.dataOut |
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88 | 88 | |
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89 | 89 | Return : None |
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90 | 90 | """ |
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91 | 91 | |
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92 | 92 | #Eliminar de la base la herencia |
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93 | 93 | ProcessingUnit.__init__(self)#, **kwargs) |
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94 | 94 | |
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95 | 95 | # self.isConfig = False |
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96 | 96 | |
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97 | 97 | self.pts2read_SelfSpectra = 0 |
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98 | 98 | |
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99 | 99 | self.pts2read_CrossSpectra = 0 |
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100 | 100 | |
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101 | 101 | self.pts2read_DCchannels = 0 |
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102 | 102 | |
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103 | 103 | self.datablock = None |
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104 | 104 | |
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105 | 105 | self.utc = None |
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106 | 106 | |
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107 | 107 | self.ext = ".pdata" |
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108 | 108 | |
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109 | 109 | self.optchar = "P" |
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110 | 110 | |
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111 | 111 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
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112 | 112 | |
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113 | 113 | self.systemHeaderObj = SystemHeader() |
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114 | 114 | |
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115 | 115 | self.radarControllerHeaderObj = RadarControllerHeader() |
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116 | 116 | |
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117 | 117 | self.processingHeaderObj = ProcessingHeader() |
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118 | 118 | |
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119 | 119 | self.online = 0 |
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120 | 120 | |
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121 | 121 | self.fp = None |
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122 | 122 | |
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123 | 123 | self.idFile = None |
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124 | 124 | |
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125 | 125 | self.dtype = None |
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126 | 126 | |
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127 | 127 | self.fileSizeByHeader = None |
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128 | 128 | |
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129 | 129 | self.filenameList = [] |
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130 | 130 | |
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131 | 131 | self.filename = None |
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132 | 132 | |
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133 | 133 | self.fileSize = None |
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134 | 134 | |
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135 | 135 | self.firstHeaderSize = 0 |
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136 | 136 | |
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137 | 137 | self.basicHeaderSize = 24 |
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138 | 138 | |
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139 | 139 | self.pathList = [] |
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140 | 140 | |
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141 | 141 | self.lastUTTime = 0 |
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142 | 142 | |
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143 | 143 | self.maxTimeStep = 30 |
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144 | 144 | |
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145 | 145 | self.flagNoMoreFiles = 0 |
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146 | 146 | |
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147 | 147 | self.set = 0 |
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148 | 148 | |
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149 | 149 | self.path = None |
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150 | 150 | |
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151 | 151 | self.delay = 60 #seconds |
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152 | 152 | |
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153 | 153 | self.nTries = 3 #quantity tries |
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154 | 154 | |
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155 | 155 | self.nFiles = 3 #number of files for searching |
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156 | 156 | |
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157 | 157 | self.nReadBlocks = 0 |
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158 | 158 | |
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159 | 159 | self.flagIsNewFile = 1 |
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160 | 160 | |
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161 | 161 | self.__isFirstTimeOnline = 1 |
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162 | 162 | |
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163 | 163 | # self.ippSeconds = 0 |
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164 | 164 | |
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165 | 165 | self.flagDiscontinuousBlock = 0 |
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166 | 166 | |
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167 | 167 | self.flagIsNewBlock = 0 |
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168 | 168 | |
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169 | 169 | self.nTotalBlocks = 0 |
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170 | 170 | |
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171 | 171 | self.blocksize = 0 |
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172 | 172 | |
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173 | 173 | self.dataOut = self.createObjByDefault() |
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174 | 174 | |
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175 | 175 | self.profileIndex = 1 #Always |
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176 | 176 | |
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177 | 177 | |
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178 | 178 | def createObjByDefault(self): |
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179 | 179 | |
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180 | 180 | dataObj = Spectra() |
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181 | 181 | |
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182 | 182 | return dataObj |
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183 | 183 | |
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184 | 184 | def __hasNotDataInBuffer(self): |
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185 | 185 | return 1 |
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186 | 186 | |
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187 | 187 | |
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188 | 188 | def getBlockDimension(self): |
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189 | 189 | """ |
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190 | 190 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
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191 | 191 | |
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192 | 192 | Affected: |
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193 | 193 | self.nRdChannels |
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194 | 194 | self.nRdPairs |
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195 | 195 | self.pts2read_SelfSpectra |
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196 | 196 | self.pts2read_CrossSpectra |
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197 | 197 | self.pts2read_DCchannels |
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198 | 198 | self.blocksize |
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199 | 199 | self.dataOut.nChannels |
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200 | 200 | self.dataOut.nPairs |
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201 | 201 | |
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202 | 202 | Return: |
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203 | 203 | None |
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204 | 204 | """ |
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205 | 205 | self.nRdChannels = 0 |
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206 | 206 | self.nRdPairs = 0 |
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207 | 207 | self.rdPairList = [] |
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208 | 208 | |
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209 | 209 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): |
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210 | 210 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: |
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211 | 211 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales |
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212 | 212 | else: |
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213 | 213 | self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes |
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214 | 214 | self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1])) |
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215 | 215 | |
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216 | 216 | pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock |
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217 | 217 | |
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218 | 218 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) |
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219 | 219 | self.blocksize = self.pts2read_SelfSpectra |
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220 | 220 | |
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221 | 221 | if self.processingHeaderObj.flag_cspc: |
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222 | 222 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) |
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223 | 223 | self.blocksize += self.pts2read_CrossSpectra |
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224 | 224 | |
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225 | 225 | if self.processingHeaderObj.flag_dc: |
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226 | 226 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) |
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227 | 227 | self.blocksize += self.pts2read_DCchannels |
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228 | 228 | |
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229 | 229 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels |
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230 | 230 | |
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231 | 231 | |
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232 | 232 | def readBlock(self): |
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233 | 233 | """ |
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234 | 234 | Lee el bloque de datos desde la posicion actual del puntero del archivo |
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235 | 235 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
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236 | 236 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
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237 | 237 | es seteado a 0 |
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238 | 238 | |
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239 | 239 | Return: None |
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240 | 240 | |
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241 | 241 | Variables afectadas: |
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242 | 242 | |
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243 | 243 | self.flagIsNewFile |
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244 | 244 | self.flagIsNewBlock |
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245 | 245 | self.nTotalBlocks |
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246 | 246 | self.data_spc |
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247 | 247 | self.data_cspc |
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248 | 248 | self.data_dc |
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249 | 249 | |
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250 | 250 | Exceptions: |
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251 | 251 | Si un bloque leido no es un bloque valido |
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252 | 252 | """ |
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253 | 253 | blockOk_flag = False |
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254 | 254 | fpointer = self.fp.tell() |
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255 | 255 | |
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256 | 256 | spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra ) |
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257 | 257 | spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
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258 | 258 | |
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259 | 259 | if self.processingHeaderObj.flag_cspc: |
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260 | 260 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) |
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261 | 261 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
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262 | 262 | |
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263 | 263 | if self.processingHeaderObj.flag_dc: |
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264 | 264 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) |
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265 | 265 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D |
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266 | 266 | |
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267 | 267 | |
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268 | 268 | if not self.processingHeaderObj.shif_fft: |
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269 | 269 | #desplaza a la derecha en el eje 2 determinadas posiciones |
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270 | 270 | shift = int(self.processingHeaderObj.profilesPerBlock/2) |
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271 | 271 | spc = numpy.roll( spc, shift , axis=2 ) |
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272 | 272 | |
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273 | 273 | if self.processingHeaderObj.flag_cspc: |
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274 | 274 | #desplaza a la derecha en el eje 2 determinadas posiciones |
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275 | 275 | cspc = numpy.roll( cspc, shift, axis=2 ) |
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276 | 276 | |
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277 | 277 | #Dimensions : nChannels, nProfiles, nSamples |
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278 | 278 | spc = numpy.transpose( spc, (0,2,1) ) |
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279 | 279 | self.data_spc = spc |
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280 | 280 | |
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281 | 281 | if self.processingHeaderObj.flag_cspc: |
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282 | 282 | cspc = numpy.transpose( cspc, (0,2,1) ) |
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283 | 283 | self.data_cspc = cspc['real'] + cspc['imag']*1j |
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284 | 284 | else: |
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285 | 285 | self.data_cspc = None |
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286 | 286 | |
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287 | 287 | if self.processingHeaderObj.flag_dc: |
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288 | 288 | self.data_dc = dc['real'] + dc['imag']*1j |
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289 | 289 | else: |
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290 | 290 | self.data_dc = None |
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291 | 291 | |
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292 | 292 | self.flagIsNewFile = 0 |
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293 | 293 | self.flagIsNewBlock = 1 |
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294 | 294 | |
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295 | 295 | self.nTotalBlocks += 1 |
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296 | 296 | self.nReadBlocks += 1 |
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297 | 297 | |
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298 | 298 | return 1 |
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299 | 299 | |
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300 | 300 | def getFirstHeader(self): |
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301 | 301 | |
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302 | 302 | self.getBasicHeader() |
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303 | 303 | |
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304 | 304 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
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305 | 305 | |
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306 | 306 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
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307 | 307 | |
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308 | 308 | # self.dataOut.ippSeconds = self.ippSeconds |
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309 | 309 | |
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310 | 310 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.processingHeaderObj.profilesPerBlock |
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311 | 311 | |
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312 | 312 | self.dataOut.dtype = self.dtype |
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313 | 313 | |
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314 | 314 | # self.dataOut.nPairs = self.nPairs |
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315 | 315 | |
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316 | 316 | self.dataOut.pairsList = self.rdPairList |
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317 | 317 | |
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318 | 318 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
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319 | 319 | |
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320 | 320 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock |
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321 | 321 | |
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322 | 322 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
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323 | 323 | |
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324 | 324 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt |
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325 | 325 | |
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326 | 326 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
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327 | 327 | |
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328 | 328 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
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329 | 329 | |
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330 | 330 | self.dataOut.channelList = list(range(self.systemHeaderObj.nChannels)) |
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331 | 331 | |
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332 | 332 | self.dataOut.flagShiftFFT = True #Data is always shifted |
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333 | 333 | |
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334 | 334 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode #asumo q la data no esta decodificada |
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335 | 335 | |
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336 | 336 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip #asumo q la data esta sin flip |
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337 | 337 | |
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338 | 338 | def getData(self): |
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339 | 339 | """ |
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340 | 340 | First method to execute before "RUN" is called. |
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341 | 341 | |
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342 | 342 | Copia el buffer de lectura a la clase "Spectra", |
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343 | 343 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
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344 | 344 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
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345 | 345 | |
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346 | 346 | Return: |
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347 | 347 | 0 : Si no hay mas archivos disponibles |
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348 | 348 | 1 : Si hizo una buena copia del buffer |
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349 | 349 | |
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350 | 350 | Affected: |
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351 | 351 | self.dataOut |
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352 | 352 | |
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353 | 353 | self.flagDiscontinuousBlock |
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354 | 354 | self.flagIsNewBlock |
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355 | 355 | """ |
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356 | 356 | |
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357 | 357 | if self.flagNoMoreFiles: |
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358 | 358 | self.dataOut.flagNoData = True |
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359 | 359 | print('Process finished') |
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360 | 360 | return 0 |
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361 | 361 | |
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362 | 362 | self.flagDiscontinuousBlock = 0 |
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363 | 363 | self.flagIsNewBlock = 0 |
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364 | 364 | |
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365 | 365 | if self.__hasNotDataInBuffer(): |
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366 | 366 | |
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367 | 367 | if not( self.readNextBlock() ): |
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368 | 368 | self.dataOut.flagNoData = True |
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369 | 369 | return 0 |
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370 | 370 | |
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371 | 371 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
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372 | 372 | |
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373 | 373 | if self.data_spc is None: |
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374 | 374 | self.dataOut.flagNoData = True |
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375 | 375 | return 0 |
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376 | 376 | |
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377 | 377 | self.getBasicHeader() |
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378 | 378 | |
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379 | 379 | self.getFirstHeader() |
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380 | 380 | |
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381 | 381 | self.dataOut.data_spc = self.data_spc |
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382 | 382 | |
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383 | 383 | self.dataOut.data_cspc = self.data_cspc |
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384 | 384 | |
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385 | 385 | self.dataOut.data_dc = self.data_dc |
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386 | 386 | |
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387 | 387 | self.dataOut.flagNoData = False |
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388 | 388 | |
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389 | 389 | self.dataOut.realtime = self.online |
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390 | 390 | |
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391 | 391 | return self.dataOut.data_spc |
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392 | 392 | @MPDecorator |
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393 | 393 | class SpectraWriter(JRODataWriter, Operation): |
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394 | 394 | |
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395 | 395 | """ |
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396 | 396 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura |
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397 | 397 | de los datos siempre se realiza por bloques. |
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398 | 398 | """ |
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399 | 399 | |
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400 | 400 | ext = ".pdata" |
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401 | 401 | |
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402 | 402 | optchar = "P" |
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403 | 403 | |
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404 | 404 | shape_spc_Buffer = None |
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405 | 405 | |
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406 | 406 | shape_cspc_Buffer = None |
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407 | 407 | |
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408 | 408 | shape_dc_Buffer = None |
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409 | 409 | |
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410 | 410 | data_spc = None |
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411 | 411 | |
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412 | 412 | data_cspc = None |
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413 | 413 | |
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414 | 414 | data_dc = None |
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415 | 415 | |
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416 | 416 | def __init__(self): |
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417 | 417 | """ |
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418 | 418 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. |
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419 | 419 | |
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420 | 420 | Affected: |
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421 | 421 | self.dataOut |
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422 | 422 | self.basicHeaderObj |
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423 | 423 | self.systemHeaderObj |
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424 | 424 | self.radarControllerHeaderObj |
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425 | 425 | self.processingHeaderObj |
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426 | 426 | |
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427 | 427 | Return: None |
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428 | 428 | """ |
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429 | 429 | |
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430 | 430 | Operation.__init__(self) |
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431 | 431 | |
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432 | 432 | self.nTotalBlocks = 0 |
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433 | 433 | |
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434 | 434 | self.data_spc = None |
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435 | 435 | |
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436 | 436 | self.data_cspc = None |
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437 | 437 | |
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438 | 438 | self.data_dc = None |
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439 | 439 | |
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440 | 440 | self.fp = None |
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441 | 441 | |
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442 | 442 | self.flagIsNewFile = 1 |
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443 | 443 | |
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444 | 444 | self.nTotalBlocks = 0 |
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445 | 445 | |
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446 | 446 | self.flagIsNewBlock = 0 |
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447 | 447 | |
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448 | 448 | self.setFile = None |
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449 | 449 | |
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450 | 450 | self.dtype = None |
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451 | 451 | |
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452 | 452 | self.path = None |
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453 | 453 | |
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454 | 454 | self.noMoreFiles = 0 |
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455 | 455 | |
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456 | 456 | self.filename = None |
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457 | 457 | |
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458 | 458 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
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459 | 459 | |
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460 | 460 | self.systemHeaderObj = SystemHeader() |
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461 | 461 | |
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462 | 462 | self.radarControllerHeaderObj = RadarControllerHeader() |
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463 | 463 | |
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464 | 464 | self.processingHeaderObj = ProcessingHeader() |
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465 | 465 | |
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466 | 466 | |
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467 | 467 | def hasAllDataInBuffer(self): |
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468 | 468 | return 1 |
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469 | 469 | |
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470 | 470 | |
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471 | 471 | def setBlockDimension(self): |
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472 | 472 | """ |
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473 | 473 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
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474 | 474 | |
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475 | 475 | Affected: |
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476 | 476 | self.shape_spc_Buffer |
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477 | 477 | self.shape_cspc_Buffer |
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478 | 478 | self.shape_dc_Buffer |
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479 | 479 | |
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480 | 480 | Return: None |
|
481 | 481 | """ |
|
482 | 482 | self.shape_spc_Buffer = (self.dataOut.nChannels, |
|
483 | 483 | self.processingHeaderObj.nHeights, |
|
484 | 484 | self.processingHeaderObj.profilesPerBlock) |
|
485 | 485 | |
|
486 | 486 | self.shape_cspc_Buffer = (self.dataOut.nPairs, |
|
487 | 487 | self.processingHeaderObj.nHeights, |
|
488 | 488 | self.processingHeaderObj.profilesPerBlock) |
|
489 | 489 | |
|
490 | 490 | self.shape_dc_Buffer = (self.dataOut.nChannels, |
|
491 | 491 | self.processingHeaderObj.nHeights) |
|
492 | 492 | |
|
493 | 493 | |
|
494 | 494 | def writeBlock(self): |
|
495 | 495 | """processingHeaderObj |
|
496 | 496 | Escribe el buffer en el file designado |
|
497 | 497 | |
|
498 | 498 | Affected: |
|
499 | 499 | self.data_spc |
|
500 | 500 | self.data_cspc |
|
501 | 501 | self.data_dc |
|
502 | 502 | self.flagIsNewFile |
|
503 | 503 | self.flagIsNewBlock |
|
504 | 504 | self.nTotalBlocks |
|
505 | 505 | self.nWriteBlocks |
|
506 | 506 | |
|
507 | 507 | Return: None |
|
508 | 508 | """ |
|
509 | 509 | |
|
510 | 510 | spc = numpy.transpose( self.data_spc, (0,2,1) ) |
|
511 | 511 | if not self.processingHeaderObj.shif_fft: |
|
512 | 512 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
513 | 513 | data = spc.reshape((-1)) |
|
514 | 514 | data = data.astype(self.dtype[0]) |
|
515 | 515 | data.tofile(self.fp) |
|
516 | 516 | |
|
517 | 517 | if self.data_cspc is not None: |
|
518 | 518 | |
|
519 | 519 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) |
|
520 |
|
|
|
520 | data = numpy.zeros( numpy.shape(cspc), self.dtype ) | |
|
521 | 521 | #print 'data.shape', self.shape_cspc_Buffer |
|
522 | 522 | if not self.processingHeaderObj.shif_fft: |
|
523 | 523 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
524 | 524 | data['real'] = cspc.real |
|
525 | 525 | data['imag'] = cspc.imag |
|
526 | 526 | data = data.reshape((-1)) |
|
527 | 527 | data.tofile(self.fp) |
|
528 | 528 | |
|
529 | 529 | if self.data_dc is not None: |
|
530 | 530 | |
|
531 | 531 | dc = self.data_dc |
|
532 | 532 | data = numpy.zeros( numpy.shape(dc), self.dtype ) |
|
533 | 533 | data['real'] = dc.real |
|
534 | 534 | data['imag'] = dc.imag |
|
535 | 535 | data = data.reshape((-1)) |
|
536 | 536 | data.tofile(self.fp) |
|
537 | 537 | |
|
538 | 538 | # self.data_spc.fill(0) |
|
539 | 539 | # |
|
540 | 540 | # if self.data_dc is not None: |
|
541 | 541 | # self.data_dc.fill(0) |
|
542 | 542 | # |
|
543 | 543 | # if self.data_cspc is not None: |
|
544 | 544 | # self.data_cspc.fill(0) |
|
545 | 545 | |
|
546 | 546 | self.flagIsNewFile = 0 |
|
547 | 547 | self.flagIsNewBlock = 1 |
|
548 | 548 | self.nTotalBlocks += 1 |
|
549 | 549 | self.nWriteBlocks += 1 |
|
550 | 550 | self.blockIndex += 1 |
|
551 | 551 | |
|
552 | 552 | # print "[Writing] Block = %d04" %self.blockIndex |
|
553 | 553 | |
|
554 | 554 | def putData(self): |
|
555 | 555 | """ |
|
556 | 556 | Setea un bloque de datos y luego los escribe en un file |
|
557 | 557 | |
|
558 | 558 | Affected: |
|
559 | 559 | self.data_spc |
|
560 | 560 | self.data_cspc |
|
561 | 561 | self.data_dc |
|
562 | 562 | |
|
563 | 563 | Return: |
|
564 | 564 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
565 | 565 | 1 : Si se escribio la data de un bloque en un file |
|
566 | 566 | """ |
|
567 | 567 | |
|
568 | 568 | if self.dataOut.flagNoData: |
|
569 | 569 | return 0 |
|
570 | 570 | |
|
571 | 571 | self.flagIsNewBlock = 0 |
|
572 | 572 | |
|
573 | 573 | if self.dataOut.flagDiscontinuousBlock: |
|
574 | 574 | self.data_spc.fill(0) |
|
575 | 575 | if self.dataOut.data_cspc is not None: |
|
576 | 576 | self.data_cspc.fill(0) |
|
577 | 577 | if self.dataOut.data_dc is not None: |
|
578 | 578 | self.data_dc.fill(0) |
|
579 | 579 | self.setNextFile() |
|
580 | 580 | |
|
581 | 581 | if self.flagIsNewFile == 0: |
|
582 | 582 | self.setBasicHeader() |
|
583 | 583 | |
|
584 | 584 | self.data_spc = self.dataOut.data_spc.copy() |
|
585 | 585 | |
|
586 | 586 | if self.dataOut.data_cspc is not None: |
|
587 | 587 | self.data_cspc = self.dataOut.data_cspc.copy() |
|
588 | 588 | |
|
589 | 589 | if self.dataOut.data_dc is not None: |
|
590 | 590 | self.data_dc = self.dataOut.data_dc.copy() |
|
591 | 591 | |
|
592 | 592 | # #self.processingHeaderObj.dataBlocksPerFile) |
|
593 | 593 | if self.hasAllDataInBuffer(): |
|
594 | 594 | # self.setFirstHeader() |
|
595 | 595 | self.writeNextBlock() |
|
596 | 596 | |
|
597 | 597 | def __getBlockSize(self): |
|
598 | 598 | ''' |
|
599 | 599 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra |
|
600 | 600 | ''' |
|
601 | 601 | |
|
602 | 602 | dtype_width = self.getDtypeWidth() |
|
603 | 603 | |
|
604 | 604 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints |
|
605 | 605 | |
|
606 | 606 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) |
|
607 | 607 | blocksize = (pts2write_SelfSpectra*dtype_width) |
|
608 | 608 | |
|
609 | 609 | if self.dataOut.data_cspc is not None: |
|
610 | 610 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) |
|
611 | 611 | blocksize += (pts2write_CrossSpectra*dtype_width*2) |
|
612 | 612 | |
|
613 | 613 | if self.dataOut.data_dc is not None: |
|
614 | 614 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) |
|
615 | 615 | blocksize += (pts2write_DCchannels*dtype_width*2) |
|
616 | 616 | |
|
617 | 617 | # blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO |
|
618 | 618 | |
|
619 | 619 | return blocksize |
|
620 | 620 | |
|
621 | 621 | def setFirstHeader(self): |
|
622 | 622 | |
|
623 | 623 | """ |
|
624 | 624 | Obtiene una copia del First Header |
|
625 | 625 | |
|
626 | 626 | Affected: |
|
627 | 627 | self.systemHeaderObj |
|
628 | 628 | self.radarControllerHeaderObj |
|
629 | 629 | self.dtype |
|
630 | 630 | |
|
631 | 631 | Return: |
|
632 | 632 | None |
|
633 | 633 | """ |
|
634 | 634 | |
|
635 | 635 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
636 | 636 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
637 | 637 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
638 | 638 | |
|
639 | 639 | self.processingHeaderObj.dtype = 1 # Spectra |
|
640 | 640 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
641 | 641 | self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints |
|
642 | 642 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
643 | 643 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
644 | 644 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval |
|
645 | 645 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt |
|
646 | 646 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels |
|
647 | 647 | self.processingHeaderObj.shif_fft = self.dataOut.flagShiftFFT |
|
648 | 648 | |
|
649 | 649 | if self.processingHeaderObj.totalSpectra > 0: |
|
650 | 650 | channelList = [] |
|
651 | 651 | for channel in range(self.dataOut.nChannels): |
|
652 | 652 | channelList.append(channel) |
|
653 | 653 | channelList.append(channel) |
|
654 | 654 | |
|
655 | 655 | pairsList = [] |
|
656 | 656 | if self.dataOut.nPairs > 0: |
|
657 | 657 | for pair in self.dataOut.pairsList: |
|
658 | 658 | pairsList.append(pair[0]) |
|
659 | 659 | pairsList.append(pair[1]) |
|
660 | 660 | |
|
661 | 661 | spectraComb = channelList + pairsList |
|
662 | 662 | spectraComb = numpy.array(spectraComb, dtype="u1") |
|
663 | 663 | self.processingHeaderObj.spectraComb = spectraComb |
|
664 | 664 | |
|
665 | 665 | if self.dataOut.code is not None: |
|
666 | 666 | self.processingHeaderObj.code = self.dataOut.code |
|
667 | 667 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
668 | 668 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
669 | 669 | |
|
670 | 670 | if self.processingHeaderObj.nWindows != 0: |
|
671 | 671 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
672 | 672 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
673 | 673 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
674 | 674 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
675 | 675 | |
|
676 | 676 | self.processingHeaderObj.processFlags = self.getProcessFlags() |
|
677 | 677 | |
|
678 | 678 | self.setBasicHeader() No newline at end of file |
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