| @@ -1,618 +1,679 | |||
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1 | 1 | ''' |
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2 | 2 | |
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3 | 3 | $Author: murco $ |
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4 | 4 | $Id: JROHeaderIO.py 151 2012-10-31 19:00:51Z murco $ |
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5 | 5 | ''' |
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6 | 6 | import numpy |
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7 | 7 | import copy |
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8 | 8 | import datetime |
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9 | 9 | |
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10 | SPEED_OF_LIGHT = 299792458 | |
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11 | SPEED_OF_LIGHT = 3e8 | |
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12 | ||
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10 | 13 | BASIC_STRUCTURE = numpy.dtype([ |
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11 | 14 | ('nSize','<u4'), |
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12 | 15 | ('nVersion','<u2'), |
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13 | 16 | ('nDataBlockId','<u4'), |
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14 | 17 | ('nUtime','<u4'), |
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15 | 18 | ('nMilsec','<u2'), |
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16 | 19 | ('nTimezone','<i2'), |
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17 | 20 | ('nDstflag','<i2'), |
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18 | 21 | ('nErrorCount','<u4') |
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19 | 22 | ]) |
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20 | 23 | |
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21 | 24 | SYSTEM_STRUCTURE = numpy.dtype([ |
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22 | 25 | ('nSize','<u4'), |
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23 | 26 | ('nNumSamples','<u4'), |
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24 | 27 | ('nNumProfiles','<u4'), |
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25 | 28 | ('nNumChannels','<u4'), |
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26 | 29 | ('nADCResolution','<u4'), |
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27 | 30 | ('nPCDIOBusWidth','<u4'), |
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28 | 31 | ]) |
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29 | 32 | |
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30 | 33 | RADAR_STRUCTURE = numpy.dtype([ |
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31 | 34 | ('nSize','<u4'), |
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32 | 35 | ('nExpType','<u4'), |
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33 | 36 | ('nNTx','<u4'), |
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34 | 37 | ('fIpp','<f4'), |
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35 | 38 | ('fTxA','<f4'), |
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36 | 39 | ('fTxB','<f4'), |
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37 | 40 | ('nNumWindows','<u4'), |
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38 | 41 | ('nNumTaus','<u4'), |
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39 | 42 | ('nCodeType','<u4'), |
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40 | 43 | ('nLine6Function','<u4'), |
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41 | 44 | ('nLine5Function','<u4'), |
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42 | 45 | ('fClock','<f4'), |
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43 | 46 | ('nPrePulseBefore','<u4'), |
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44 | 47 | ('nPrePulseAfter','<u4'), |
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45 | 48 | ('sRangeIPP','<a20'), |
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46 | 49 | ('sRangeTxA','<a20'), |
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47 | 50 | ('sRangeTxB','<a20'), |
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48 | 51 | ]) |
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49 | 52 | |
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50 | 53 | SAMPLING_STRUCTURE = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')]) |
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51 | 54 | |
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52 | 55 | |
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53 | 56 | PROCESSING_STRUCTURE = numpy.dtype([ |
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54 | 57 | ('nSize','<u4'), |
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55 | 58 | ('nDataType','<u4'), |
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56 | 59 | ('nSizeOfDataBlock','<u4'), |
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57 | 60 | ('nProfilesperBlock','<u4'), |
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58 | 61 | ('nDataBlocksperFile','<u4'), |
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59 | 62 | ('nNumWindows','<u4'), |
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60 | 63 | ('nProcessFlags','<u4'), |
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61 | 64 | ('nCoherentIntegrations','<u4'), |
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62 | 65 | ('nIncoherentIntegrations','<u4'), |
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63 | 66 | ('nTotalSpectra','<u4') |
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64 | 67 | ]) |
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65 | 68 | |
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66 | 69 | class Header(object): |
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67 | 70 | |
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68 | 71 | def __init__(self): |
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69 | 72 | raise |
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70 | 73 | |
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71 | 74 | def copy(self): |
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72 | 75 | return copy.deepcopy(self) |
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73 | 76 | |
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74 | 77 | def read(self): |
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75 | 78 | |
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76 | 79 | raise ValueError |
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77 | 80 | |
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78 | 81 | def write(self): |
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79 | 82 | |
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80 | 83 | raise ValueError |
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81 | 84 | |
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82 | 85 | def printInfo(self): |
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83 | 86 | |
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84 | 87 | print "#"*100 |
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85 | 88 | print self.__class__.__name__.upper() |
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86 | 89 | print "#"*100 |
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87 | 90 | for key in self.__dict__.keys(): |
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88 | 91 | print "%s = %s" %(key, self.__dict__[key]) |
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89 | 92 | |
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90 | 93 | class BasicHeader(Header): |
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91 | 94 | |
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92 | 95 | size = None |
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93 | 96 | version = None |
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94 | 97 | dataBlock = None |
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95 | 98 | utc = None |
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96 | 99 | ltc = None |
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97 | 100 | miliSecond = None |
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98 | 101 | timeZone = None |
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99 | 102 | dstFlag = None |
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100 | 103 | errorCount = None |
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101 | 104 | datatime = None |
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102 | 105 | |
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103 | 106 | __LOCALTIME = None |
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104 | 107 | |
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105 | 108 | def __init__(self, useLocalTime=True): |
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106 | 109 | |
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107 | 110 | self.size = 24 |
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108 | 111 | self.version = 0 |
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109 | 112 | self.dataBlock = 0 |
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110 | 113 | self.utc = 0 |
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111 | 114 | self.miliSecond = 0 |
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112 | 115 | self.timeZone = 0 |
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113 | 116 | self.dstFlag = 0 |
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114 | 117 | self.errorCount = 0 |
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115 | 118 | |
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116 | 119 | self.useLocalTime = useLocalTime |
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117 | 120 | |
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118 | 121 | def read(self, fp): |
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119 | 122 | try: |
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120 | 123 | |
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121 | 124 | header = numpy.fromfile(fp, BASIC_STRUCTURE,1) |
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122 | 125 | |
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123 | 126 | self.size = int(header['nSize'][0]) |
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124 | 127 | self.version = int(header['nVersion'][0]) |
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125 | 128 | self.dataBlock = int(header['nDataBlockId'][0]) |
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126 | 129 | self.utc = int(header['nUtime'][0]) |
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127 | 130 | self.miliSecond = int(header['nMilsec'][0]) |
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128 | 131 | self.timeZone = int(header['nTimezone'][0]) |
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129 | 132 | self.dstFlag = int(header['nDstflag'][0]) |
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130 | 133 | self.errorCount = int(header['nErrorCount'][0]) |
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131 | 134 | |
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132 | 135 | except Exception, e: |
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133 | 136 | print "BasicHeader: " |
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134 | 137 | print e |
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135 | 138 | return 0 |
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136 | 139 | |
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137 | 140 | return 1 |
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138 | 141 | |
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139 | 142 | def write(self, fp): |
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140 | 143 | |
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141 | 144 | headerTuple = (self.size,self.version,self.dataBlock,self.utc,self.miliSecond,self.timeZone,self.dstFlag,self.errorCount) |
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142 | 145 | header = numpy.array(headerTuple, BASIC_STRUCTURE) |
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143 | 146 | header.tofile(fp) |
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144 | 147 | |
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145 | 148 | return 1 |
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146 | 149 | |
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147 | 150 | def get_ltc(self): |
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148 | 151 | |
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149 | 152 | return self.utc - self.timeZone*60 |
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150 | 153 | |
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151 | 154 | def set_ltc(self, value): |
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152 | 155 | |
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153 | 156 | self.utc = value + self.timeZone*60 |
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154 | 157 | |
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155 | 158 | def get_datatime(self): |
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156 | 159 | |
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157 | 160 | return datetime.datetime.utcfromtimestamp(self.ltc) |
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158 | 161 | |
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159 | 162 | ltc = property(get_ltc, set_ltc) |
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160 | 163 | datatime = property(get_datatime) |
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161 | 164 | |
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162 | 165 | class SystemHeader(Header): |
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163 | 166 | |
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164 | 167 | size = None |
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165 | 168 | nSamples = None |
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166 | 169 | nProfiles = None |
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167 | 170 | nChannels = None |
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168 | 171 | adcResolution = None |
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169 | 172 | pciDioBusWidth = None |
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170 | 173 | |
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171 | 174 | def __init__(self, nSamples=0, nProfiles=0, nChannels=0, adcResolution=14, pciDioBusWith=0): |
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172 | 175 | |
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173 | 176 | self.size = 24 |
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174 | 177 | self.nSamples = nSamples |
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175 | 178 | self.nProfiles = nProfiles |
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176 | 179 | self.nChannels = nChannels |
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177 | 180 | self.adcResolution = adcResolution |
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178 | 181 | self.pciDioBusWidth = pciDioBusWith |
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179 | 182 | |
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180 | 183 | def read(self, fp): |
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181 | 184 | |
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182 | 185 | try: |
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183 | 186 | header = numpy.fromfile(fp,SYSTEM_STRUCTURE,1) |
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184 | 187 | self.size = header['nSize'][0] |
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185 | 188 | self.nSamples = header['nNumSamples'][0] |
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186 | 189 | self.nProfiles = header['nNumProfiles'][0] |
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187 | 190 | self.nChannels = header['nNumChannels'][0] |
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188 | 191 | self.adcResolution = header['nADCResolution'][0] |
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189 | 192 | self.pciDioBusWidth = header['nPCDIOBusWidth'][0] |
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190 | 193 | |
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191 | 194 | except Exception, e: |
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192 | 195 | print "SystemHeader: " + e |
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193 | 196 | return 0 |
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194 | 197 | |
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195 | 198 | return 1 |
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196 | 199 | |
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197 | 200 | def write(self, fp): |
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198 | 201 | |
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199 | 202 | headerTuple = (self.size,self.nSamples,self.nProfiles,self.nChannels,self.adcResolution,self.pciDioBusWidth) |
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200 | 203 | header = numpy.array(headerTuple,SYSTEM_STRUCTURE) |
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201 | 204 | header.tofile(fp) |
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202 | 205 | |
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203 | 206 | return 1 |
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204 | 207 | |
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205 | 208 | class RadarControllerHeader(Header): |
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206 | 209 | |
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207 | 210 | size = None |
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208 | 211 | expType = None |
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209 | 212 | nTx = None |
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210 | 213 | ipp = None |
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211 | 214 | txA = None |
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212 | 215 | txB = None |
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213 | 216 | nWindows = None |
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214 | 217 | numTaus = None |
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215 | 218 | codeType = None |
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216 | 219 | line6Function = None |
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217 | 220 | line5Function = None |
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218 | 221 | fClock = None |
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219 | 222 | prePulseBefore = None |
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220 | 223 | prePulserAfter = None |
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221 | 224 | rangeIpp = None |
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222 | 225 | rangeTxA = None |
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223 | 226 | rangeTxB = None |
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224 | 227 | |
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225 |
__ |
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228 | __size = None | |
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226 | 229 | |
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227 | 230 | def __init__(self, expType=2, nTx=1, |
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228 | 231 | ippKm=None, txA=0, txB=0, |
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229 | 232 | nWindows=None, nHeights=None, firstHeight=None, deltaHeight=None, |
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230 |
numTaus=0, line6Function=0, line5Function=0, fClock= |
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233 | numTaus=0, line6Function=0, line5Function=0, fClock=None, | |
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231 | 234 | prePulseBefore=0, prePulseAfter=0, |
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232 | 235 | codeType=0, nCode=0, nBaud=0, code=None, |
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233 | 236 | flip1=0, flip2=0): |
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234 | 237 | |
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235 | 238 | self.size = 116 |
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236 | 239 | self.expType = expType |
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237 | 240 | self.nTx = nTx |
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238 | 241 | self.ipp = ippKm |
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239 | 242 | self.txA = txA |
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240 | 243 | self.txB = txB |
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241 | 244 | self.rangeIpp = ippKm |
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242 | 245 | self.rangeTxA = txA |
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243 | 246 | self.rangeTxB = txB |
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244 | 247 | |
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245 | 248 | self.nWindows = nWindows |
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246 | 249 | self.numTaus = numTaus |
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247 | 250 | self.codeType = codeType |
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248 | 251 | self.line6Function = line6Function |
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249 | 252 | self.line5Function = line5Function |
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250 | 253 | self.fClock = fClock |
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251 | 254 | self.prePulseBefore = prePulseBefore |
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252 | 255 | self.prePulserAfter = prePulseAfter |
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253 | 256 | |
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254 | 257 | self.nHeights = nHeights |
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255 | 258 | self.firstHeight = firstHeight |
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256 | 259 | self.deltaHeight = deltaHeight |
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257 | 260 | self.samplesWin = nHeights |
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258 | 261 | |
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259 | 262 | self.nCode = nCode |
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260 | 263 | self.nBaud = nBaud |
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261 | 264 | self.code = code |
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262 | 265 | self.flip1 = flip1 |
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263 | 266 | self.flip2 = flip2 |
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264 | 267 | |
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265 | 268 | self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4 |
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266 | 269 | # self.dynamic = numpy.array([],numpy.dtype('byte')) |
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267 | 270 | |
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271 | if self.fClock is None and self.deltaHeight is not None: | |
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272 | self.fClock = 0.15/(deltaHeight*1e-6) #0.15Km / (height * 1u) | |
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268 | 273 | |
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269 | 274 | def read(self, fp): |
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270 | 275 | |
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271 | 276 | try: |
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272 | 277 | startFp = fp.tell() |
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273 | 278 | header = numpy.fromfile(fp,RADAR_STRUCTURE,1) |
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274 | 279 | |
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275 |
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280 | size = int(header['nSize'][0]) | |
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276 | 281 | self.expType = int(header['nExpType'][0]) |
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277 | 282 | self.nTx = int(header['nNTx'][0]) |
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278 | 283 | self.ipp = float(header['fIpp'][0]) |
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279 | 284 | self.txA = float(header['fTxA'][0]) |
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280 | 285 | self.txB = float(header['fTxB'][0]) |
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281 | 286 | self.nWindows = int(header['nNumWindows'][0]) |
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282 | 287 | self.numTaus = int(header['nNumTaus'][0]) |
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283 | 288 | self.codeType = int(header['nCodeType'][0]) |
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284 | 289 | self.line6Function = int(header['nLine6Function'][0]) |
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285 | 290 | self.line5Function = int(header['nLine5Function'][0]) |
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286 | 291 | self.fClock = float(header['fClock'][0]) |
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287 | 292 | self.prePulseBefore = int(header['nPrePulseBefore'][0]) |
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288 | 293 | self.prePulserAfter = int(header['nPrePulseAfter'][0]) |
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289 | 294 | self.rangeIpp = header['sRangeIPP'][0] |
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290 | 295 | self.rangeTxA = header['sRangeTxA'][0] |
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291 | 296 | self.rangeTxB = header['sRangeTxB'][0] |
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292 | 297 | # jump Dynamic Radar Controller Header |
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293 |
# jumpFp = s |
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298 | # jumpFp = size - 116 | |
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294 | 299 | # self.dynamic = numpy.fromfile(fp,numpy.dtype('byte'),jumpFp) |
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295 | 300 | #pointer backward to dynamic header and read |
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296 | 301 | # backFp = fp.tell() - jumpFp |
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297 | 302 | # fp.seek(backFp) |
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298 | 303 | |
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299 | 304 | samplingWindow = numpy.fromfile(fp,SAMPLING_STRUCTURE,self.nWindows) |
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300 | 305 | |
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301 | 306 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
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302 | 307 | self.firstHeight = samplingWindow['h0'] |
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303 | 308 | self.deltaHeight = samplingWindow['dh'] |
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304 | 309 | self.samplesWin = samplingWindow['nsa'] |
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305 | 310 | |
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306 | 311 | self.Taus = numpy.fromfile(fp,'<f4',self.numTaus) |
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307 | 312 | |
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308 | 313 | self.code_size = 0 |
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309 | 314 | if self.codeType != 0: |
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310 | 315 | self.nCode = int(numpy.fromfile(fp,'<u4',1)) |
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311 | 316 | self.nBaud = int(numpy.fromfile(fp,'<u4',1)) |
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312 | 317 | self.code = numpy.empty([self.nCode,self.nBaud],dtype='i1') |
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313 | 318 | |
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314 | 319 | for ic in range(self.nCode): |
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315 | 320 | temp = numpy.fromfile(fp,'u4',int(numpy.ceil(self.nBaud/32.))) |
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316 | 321 | for ib in range(self.nBaud-1,-1,-1): |
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317 | 322 | self.code[ic,ib] = temp[ib/32]%2 |
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318 | 323 | temp[ib/32] = temp[ib/32]/2 |
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319 | 324 | self.code = 2.0*self.code - 1.0 |
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320 | 325 | self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4 |
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321 | 326 | |
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322 | if self.line5Function == RCfunction.FLIP: | |
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323 | self.flip1 = numpy.fromfile(fp,'<u4',1) | |
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324 | ||
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325 | if self.line6Function == RCfunction.FLIP: | |
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326 | self.flip2 = numpy.fromfile(fp,'<u4',1) | |
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327 | # if self.line5Function == RCfunction.FLIP: | |
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328 | # self.flip1 = numpy.fromfile(fp,'<u4',1) | |
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329 | # | |
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330 | # if self.line6Function == RCfunction.FLIP: | |
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331 | # self.flip2 = numpy.fromfile(fp,'<u4',1) | |
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327 | 332 | |
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328 |
endFp = |
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333 | endFp = size + startFp | |
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329 | 334 | jumpFp = endFp - fp.tell() |
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330 | 335 | if jumpFp > 0: |
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331 | 336 | fp.seek(jumpFp) |
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332 | 337 | |
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333 | 338 | except Exception, e: |
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334 | 339 | print "RadarControllerHeader: " + e |
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335 | 340 | return 0 |
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336 | 341 | |
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337 | 342 | return 1 |
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338 | 343 | |
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339 | 344 | def write(self, fp): |
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345 | ||
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340 | 346 | headerTuple = (self.size, |
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341 | 347 | self.expType, |
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342 | 348 | self.nTx, |
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343 | 349 | self.ipp, |
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344 | 350 | self.txA, |
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345 | 351 | self.txB, |
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346 | 352 | self.nWindows, |
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347 | 353 | self.numTaus, |
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348 | 354 | self.codeType, |
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349 | 355 | self.line6Function, |
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350 | 356 | self.line5Function, |
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351 | 357 | self.fClock, |
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352 | 358 | self.prePulseBefore, |
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353 | 359 | self.prePulserAfter, |
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354 | 360 | self.rangeIpp, |
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355 | 361 | self.rangeTxA, |
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356 | 362 | self.rangeTxB) |
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357 | 363 | |
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358 | 364 | header = numpy.array(headerTuple,RADAR_STRUCTURE) |
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359 | 365 | header.tofile(fp) |
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360 | 366 | |
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361 | #dynamic = self.dynamic | |
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362 | #dynamic.tofile(fp) | |
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363 | ||
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364 | 367 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) |
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365 | 368 | samplingWindow = numpy.array(sampleWindowTuple,SAMPLING_STRUCTURE) |
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366 | 369 | samplingWindow.tofile(fp) |
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367 | 370 | |
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368 | 371 | if self.numTaus > 0: |
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369 | 372 | self.Taus.tofile(fp) |
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370 | 373 | |
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371 | 374 | if self.codeType !=0: |
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372 | 375 | nCode = numpy.array(self.nCode, '<u4') |
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373 | 376 | nCode.tofile(fp) |
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374 | 377 | nBaud = numpy.array(self.nBaud, '<u4') |
|
|
375 | 378 | nBaud.tofile(fp) |
|
|
376 | 379 | code1 = (self.code + 1.0)/2. |
|
|
377 | 380 | |
|
|
378 | 381 | for ic in range(self.nCode): |
|
|
379 | 382 | tempx = numpy.zeros(numpy.ceil(self.nBaud/32.)) |
|
|
380 | 383 | start = 0 |
|
|
381 | 384 | end = 32 |
|
|
382 | 385 | for i in range(len(tempx)): |
|
|
383 | 386 | code_selected = code1[ic,start:end] |
|
|
384 | 387 | for j in range(len(code_selected)-1,-1,-1): |
|
|
385 | 388 | if code_selected[j] == 1: |
|
|
386 | 389 | tempx[i] = tempx[i] + 2**(len(code_selected)-1-j) |
|
|
387 | 390 | start = start + 32 |
|
|
388 | 391 | end = end + 32 |
|
|
389 | 392 | |
|
|
390 | 393 | tempx = tempx.astype('u4') |
|
|
391 | 394 | tempx.tofile(fp) |
|
|
392 | 395 | |
|
|
393 | if self.line5Function == RCfunction.FLIP: | |
|
|
394 | self.flip1.tofile(fp) | |
|
|
395 | ||
|
|
396 | if self.line6Function == RCfunction.FLIP: | |
|
|
397 | self.flip2.tofile(fp) | |
|
|
396 | # if self.line5Function == RCfunction.FLIP: | |
|
|
397 | # self.flip1.tofile(fp) | |
|
|
398 | # | |
|
|
399 | # if self.line6Function == RCfunction.FLIP: | |
|
|
400 | # self.flip2.tofile(fp) | |
|
|
398 | 401 | |
|
|
399 | 402 | return 1 |
|
|
400 | 403 | |
|
|
401 | 404 | def get_ippSeconds(self): |
|
|
402 | 405 | ''' |
|
|
403 | 406 | ''' |
|
|
404 |
ippSeconds = 2.0 * 1000 * self.ipp / |
|
|
|
407 | ippSeconds = 2.0 * 1000 * self.ipp / SPEED_OF_LIGHT | |
|
|
405 | 408 | |
|
|
406 | 409 | return ippSeconds |
|
|
407 | 410 | |
|
|
408 | 411 | def set_ippSeconds(self, ippSeconds): |
|
|
409 | 412 | ''' |
|
|
410 | 413 | ''' |
|
|
411 | 414 | |
|
|
412 |
self.ipp = ippSeconds * |
|
|
|
415 | self.ipp = ippSeconds * SPEED_OF_LIGHT / (2.0*1000) | |
|
|
416 | ||
|
|
417 | return | |
|
|
418 | ||
|
|
419 | def get_size(self): | |
|
|
420 | ||
|
|
421 | self.__size = 116 + 12*self.nWindows + 4*self.numTaus | |
|
|
422 | ||
|
|
423 | if self.codeType != 0: | |
|
|
424 | self.__size += 4 + 4 + 4*self.nCode*numpy.ceil(self.nBaud/32.) | |
|
|
425 | ||
|
|
426 | return self.__size | |
|
|
427 | ||
|
|
428 | def set_size(self, value): | |
|
|
429 | ||
|
|
430 | self.__size = value | |
|
|
413 | 431 | |
|
|
414 | 432 | return |
|
|
415 | 433 | |
|
|
416 | 434 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
|
|
435 | size = property(get_size, set_size) | |
|
|
417 | 436 | |
|
|
418 | 437 | class ProcessingHeader(Header): |
|
|
419 | 438 | |
|
|
420 | 439 | size = None |
|
|
421 | 440 | dtype = None |
|
|
422 | 441 | blockSize = None |
|
|
423 | 442 | profilesPerBlock = None |
|
|
424 | 443 | dataBlocksPerFile = None |
|
|
425 | 444 | nWindows = None |
|
|
426 | 445 | processFlags = None |
|
|
427 | 446 | nCohInt = None |
|
|
428 | 447 | nIncohInt = None |
|
|
429 | 448 | totalSpectra = None |
|
|
430 | 449 | |
|
|
431 | 450 | flag_dc = None |
|
|
432 | 451 | flag_cspc = None |
|
|
433 | 452 | |
|
|
434 | 453 | def __init__(self): |
|
|
435 | 454 | |
|
|
436 | 455 | self.size = 0 |
|
|
437 | 456 | self.dtype = 0 |
|
|
438 | 457 | self.blockSize = 0 |
|
|
439 | 458 | self.profilesPerBlock = 0 |
|
|
440 | 459 | self.dataBlocksPerFile = 0 |
|
|
441 | 460 | self.nWindows = 0 |
|
|
442 | 461 | self.processFlags = 0 |
|
|
443 | 462 | self.nCohInt = 0 |
|
|
444 | 463 | self.nIncohInt = 0 |
|
|
445 | 464 | self.totalSpectra = 0 |
|
|
446 | 465 | |
|
|
447 | 466 | self.nHeights = 0 |
|
|
448 | 467 | self.firstHeight = 0 |
|
|
449 | 468 | self.deltaHeight = 0 |
|
|
450 | 469 | self.samplesWin = 0 |
|
|
451 | 470 | self.spectraComb = 0 |
|
|
452 | 471 | # self.nCode = None |
|
|
453 | 472 | # self.code = None |
|
|
454 | 473 | # self.nBaud = None |
|
|
455 | 474 | self.shif_fft = False |
|
|
456 | 475 | self.flag_dc = False |
|
|
457 | 476 | self.flag_cspc = False |
|
|
458 | 477 | |
|
|
459 | 478 | def read(self, fp): |
|
|
460 | 479 | # try: |
|
|
461 | 480 | header = numpy.fromfile(fp,PROCESSING_STRUCTURE,1) |
|
|
462 | 481 | self.size = int(header['nSize'][0]) |
|
|
463 | 482 | self.dtype = int(header['nDataType'][0]) |
|
|
464 | 483 | self.blockSize = int(header['nSizeOfDataBlock'][0]) |
|
|
465 | 484 | self.profilesPerBlock = int(header['nProfilesperBlock'][0]) |
|
|
466 | 485 | self.dataBlocksPerFile = int(header['nDataBlocksperFile'][0]) |
|
|
467 | 486 | self.nWindows = int(header['nNumWindows'][0]) |
|
|
468 | 487 | self.processFlags = header['nProcessFlags'] |
|
|
469 | 488 | self.nCohInt = int(header['nCoherentIntegrations'][0]) |
|
|
470 | 489 | self.nIncohInt = int(header['nIncoherentIntegrations'][0]) |
|
|
471 | 490 | self.totalSpectra = int(header['nTotalSpectra'][0]) |
|
|
472 | 491 | |
|
|
473 | 492 | samplingWindow = numpy.fromfile(fp,SAMPLING_STRUCTURE,self.nWindows) |
|
|
474 | 493 | |
|
|
475 | 494 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
|
|
476 | 495 | self.firstHeight = float(samplingWindow['h0'][0]) |
|
|
477 | 496 | self.deltaHeight = float(samplingWindow['dh'][0]) |
|
|
478 | 497 | self.samplesWin = samplingWindow['nsa'][0] |
|
|
479 | 498 | self.spectraComb = numpy.fromfile(fp,'u1',2*self.totalSpectra) |
|
|
480 | 499 | |
|
|
481 | 500 | # if ((self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE) == PROCFLAG.DEFINE_PROCESS_CODE): |
|
|
482 | 501 | # self.nCode = int(numpy.fromfile(fp,'<u4',1)) |
|
|
483 | 502 | # self.nBaud = int(numpy.fromfile(fp,'<u4',1)) |
|
|
484 | 503 | # self.code = numpy.fromfile(fp,'<f4',self.nCode*self.nBaud).reshape(self.nCode,self.nBaud) |
|
|
485 | 504 | |
|
|
486 | 505 | if ((self.processFlags & PROCFLAG.SHIFT_FFT_DATA) == PROCFLAG.SHIFT_FFT_DATA): |
|
|
487 | 506 | self.shif_fft = True |
|
|
488 | 507 | else: |
|
|
489 | 508 | self.shif_fft = False |
|
|
490 | 509 | |
|
|
491 | 510 | if ((self.processFlags & PROCFLAG.SAVE_CHANNELS_DC) == PROCFLAG.SAVE_CHANNELS_DC): |
|
|
492 | 511 | self.flag_dc = True |
|
|
493 | 512 | |
|
|
494 | 513 | nChannels = 0 |
|
|
495 | 514 | nPairs = 0 |
|
|
496 | 515 | pairList = [] |
|
|
497 | 516 | |
|
|
498 | 517 | for i in range( 0, self.totalSpectra*2, 2 ): |
|
|
499 | 518 | if self.spectraComb[i] == self.spectraComb[i+1]: |
|
|
500 | 519 | nChannels = nChannels + 1 #par de canales iguales |
|
|
501 | 520 | else: |
|
|
502 | 521 | nPairs = nPairs + 1 #par de canales diferentes |
|
|
503 | 522 | pairList.append( (self.spectraComb[i], self.spectraComb[i+1]) ) |
|
|
504 | 523 | |
|
|
505 | 524 | self.flag_cspc = False |
|
|
506 | 525 | if nPairs > 0: |
|
|
507 | 526 | self.flag_cspc = True |
|
|
508 | 527 | |
|
|
509 | 528 | # except Exception, e: |
|
|
510 | 529 | # print "Error ProcessingHeader: " |
|
|
511 | 530 | # return 0 |
|
|
512 | 531 | |
|
|
513 | 532 | return 1 |
|
|
514 | 533 | |
|
|
515 | 534 | def write(self, fp): |
|
|
516 | 535 | |
|
|
517 | 536 | headerTuple = (self.size, |
|
|
518 | 537 | self.dtype, |
|
|
519 | 538 | self.blockSize, |
|
|
520 | 539 | self.profilesPerBlock, |
|
|
521 | 540 | self.dataBlocksPerFile, |
|
|
522 | 541 | self.nWindows, |
|
|
523 | 542 | self.processFlags, |
|
|
524 | 543 | self.nCohInt, |
|
|
525 | 544 | self.nIncohInt, |
|
|
526 | 545 | self.totalSpectra) |
|
|
527 | 546 | |
|
|
528 | 547 | header = numpy.array(headerTuple,PROCESSING_STRUCTURE) |
|
|
529 | 548 | header.tofile(fp) |
|
|
530 | 549 | |
|
|
531 | 550 | if self.nWindows != 0: |
|
|
532 | 551 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) |
|
|
533 | 552 | samplingWindow = numpy.array(sampleWindowTuple,SAMPLING_STRUCTURE) |
|
|
534 | 553 | samplingWindow.tofile(fp) |
|
|
535 | 554 | |
|
|
536 | 555 | |
|
|
537 | 556 | if self.totalSpectra != 0: |
|
|
538 | 557 | spectraComb = numpy.array([],numpy.dtype('u1')) |
|
|
539 | 558 | spectraComb = self.spectraComb |
|
|
540 | 559 | spectraComb.tofile(fp) |
|
|
541 | 560 | |
|
|
542 | 561 | # if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
|
543 | 562 | # nCode = numpy.array([self.nCode], numpy.dtype('u4')) #Probar con un dato que almacene codigo, hasta el momento no se hizo la prueba |
|
|
544 | 563 | # nCode.tofile(fp) |
|
|
545 | 564 | # |
|
|
546 | 565 | # nBaud = numpy.array([self.nBaud], numpy.dtype('u4')) |
|
|
547 | 566 | # nBaud.tofile(fp) |
|
|
548 | 567 | # |
|
|
549 | 568 | # code = self.code.reshape(self.nCode*self.nBaud) |
|
|
550 | 569 | # code = code.astype(numpy.dtype('<f4')) |
|
|
551 | 570 | # code.tofile(fp) |
|
|
552 | 571 | |
|
|
553 | 572 | return 1 |
|
|
554 | 573 | |
|
|
555 | 574 | class RCfunction: |
|
|
556 | 575 | NONE=0 |
|
|
557 | 576 | FLIP=1 |
|
|
558 | 577 | CODE=2 |
|
|
559 | 578 | SAMPLING=3 |
|
|
560 | 579 | LIN6DIV256=4 |
|
|
561 | 580 | SYNCHRO=5 |
|
|
562 | 581 | |
|
|
563 | 582 | class nCodeType: |
|
|
564 | 583 | NONE=0 |
|
|
565 | 584 | USERDEFINE=1 |
|
|
566 | 585 | BARKER2=2 |
|
|
567 | 586 | BARKER3=3 |
|
|
568 | 587 | BARKER4=4 |
|
|
569 | 588 | BARKER5=5 |
|
|
570 | 589 | BARKER7=6 |
|
|
571 | 590 | BARKER11=7 |
|
|
572 | 591 | BARKER13=8 |
|
|
573 | 592 | AC128=9 |
|
|
574 | 593 | COMPLEMENTARYCODE2=10 |
|
|
575 | 594 | COMPLEMENTARYCODE4=11 |
|
|
576 | 595 | COMPLEMENTARYCODE8=12 |
|
|
577 | 596 | COMPLEMENTARYCODE16=13 |
|
|
578 | 597 | COMPLEMENTARYCODE32=14 |
|
|
579 | 598 | COMPLEMENTARYCODE64=15 |
|
|
580 | 599 | COMPLEMENTARYCODE128=16 |
|
|
581 | 600 | CODE_BINARY28=17 |
|
|
582 | 601 | |
|
|
583 | 602 | class PROCFLAG: |
|
|
603 | ||
|
|
584 | 604 | COHERENT_INTEGRATION = numpy.uint32(0x00000001) |
|
|
585 | 605 | DECODE_DATA = numpy.uint32(0x00000002) |
|
|
586 | 606 | SPECTRA_CALC = numpy.uint32(0x00000004) |
|
|
587 | 607 | INCOHERENT_INTEGRATION = numpy.uint32(0x00000008) |
|
|
588 | 608 | POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010) |
|
|
589 | 609 | SHIFT_FFT_DATA = numpy.uint32(0x00000020) |
|
|
590 | 610 | |
|
|
591 | 611 | DATATYPE_CHAR = numpy.uint32(0x00000040) |
|
|
592 | 612 | DATATYPE_SHORT = numpy.uint32(0x00000080) |
|
|
593 | 613 | DATATYPE_LONG = numpy.uint32(0x00000100) |
|
|
594 | 614 | DATATYPE_INT64 = numpy.uint32(0x00000200) |
|
|
595 | 615 | DATATYPE_FLOAT = numpy.uint32(0x00000400) |
|
|
596 | 616 | DATATYPE_DOUBLE = numpy.uint32(0x00000800) |
|
|
597 | 617 | |
|
|
598 | 618 | DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000) |
|
|
599 | 619 | DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000) |
|
|
600 | 620 | DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000) |
|
|
601 | 621 | |
|
|
602 | 622 | SAVE_CHANNELS_DC = numpy.uint32(0x00008000) |
|
|
603 | 623 | DEFLIP_DATA = numpy.uint32(0x00010000) |
|
|
604 | 624 | DEFINE_PROCESS_CODE = numpy.uint32(0x00020000) |
|
|
605 | 625 | |
|
|
606 | 626 | ACQ_SYS_NATALIA = numpy.uint32(0x00040000) |
|
|
607 | 627 | ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000) |
|
|
608 | 628 | ACQ_SYS_ADRXD = numpy.uint32(0x000C0000) |
|
|
609 | 629 | ACQ_SYS_JULIA = numpy.uint32(0x00100000) |
|
|
610 | 630 | ACQ_SYS_XXXXXX = numpy.uint32(0x00140000) |
|
|
611 | 631 | |
|
|
612 | 632 | EXP_NAME_ESP = numpy.uint32(0x00200000) |
|
|
613 | 633 | CHANNEL_NAMES_ESP = numpy.uint32(0x00400000) |
|
|
614 | 634 | |
|
|
615 | 635 | OPERATION_MASK = numpy.uint32(0x0000003F) |
|
|
616 | 636 | DATATYPE_MASK = numpy.uint32(0x00000FC0) |
|
|
617 | 637 | DATAARRANGE_MASK = numpy.uint32(0x00007000) |
|
|
618 | ACQ_SYS_MASK = numpy.uint32(0x001C0000) No newline at end of file | |
|
|
638 | ACQ_SYS_MASK = numpy.uint32(0x001C0000) | |
|
|
639 | ||
|
|
640 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) | |
|
|
641 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) | |
|
|
642 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) | |
|
|
643 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) | |
|
|
644 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
|
|
645 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) | |
|
|
646 | ||
|
|
647 | NUMPY_DTYPE_LIST = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] | |
|
|
648 | ||
|
|
649 | PROCFLAG_DTYPE_LIST = [PROCFLAG.DATATYPE_CHAR, | |
|
|
650 | PROCFLAG.DATATYPE_SHORT, | |
|
|
651 | PROCFLAG.DATATYPE_LONG, | |
|
|
652 | PROCFLAG.DATATYPE_INT64, | |
|
|
653 | PROCFLAG.DATATYPE_FLOAT, | |
|
|
654 | PROCFLAG.DATATYPE_DOUBLE] | |
|
|
655 | ||
|
|
656 | DTYPE_WIDTH = [1, 2, 4, 8, 4, 8] | |
|
|
657 | ||
|
|
658 | def get_dtype_index(numpy_dtype): | |
|
|
659 | ||
|
|
660 | index = None | |
|
|
661 | ||
|
|
662 | for i in range(len(NUMPY_DTYPE_LIST)): | |
|
|
663 | if numpy_dtype == NUMPY_DTYPE_LIST[i]: | |
|
|
664 | index = i | |
|
|
665 | break | |
|
|
666 | ||
|
|
667 | return index | |
|
|
668 | ||
|
|
669 | def get_numpy_dtype(index): | |
|
|
670 | ||
|
|
671 | return NUMPY_DTYPE_LIST[index] | |
|
|
672 | ||
|
|
673 | def get_procflag_dtype(index): | |
|
|
674 | ||
|
|
675 | return PROCFLAG_DTYPE_LIST[index] | |
|
|
676 | ||
|
|
677 | def get_dtype_width(index): | |
|
|
678 | ||
|
|
679 | return DTYPE_WIDTH[index] No newline at end of file | |
| @@ -1,1465 +1,1526 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import sys |
|
|
8 | 8 | import glob |
|
|
9 | 9 | import time |
|
|
10 | 10 | import numpy |
|
|
11 | 11 | import fnmatch |
|
|
12 | 12 | import time, datetime |
|
|
13 | 13 | #import h5py |
|
|
14 | 14 | import traceback |
|
|
15 | 15 | |
|
|
16 | 16 | try: |
|
|
17 | 17 | from gevent import sleep |
|
|
18 | 18 | except: |
|
|
19 | 19 | from time import sleep |
|
|
20 | 20 | |
|
|
21 | 21 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
22 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width | |
|
|
22 | 23 | |
|
|
23 | 24 | LOCALTIME = True |
|
|
24 | 25 | |
|
|
25 | 26 | def isNumber(cad): |
|
|
26 | 27 | """ |
|
|
27 | 28 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
28 | 29 | |
|
|
29 | 30 | Excepciones: |
|
|
30 | 31 | Si un determinado string no puede ser convertido a numero |
|
|
31 | 32 | Input: |
|
|
32 | 33 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
33 | 34 | |
|
|
34 | 35 | Return: |
|
|
35 | 36 | True : si el string es uno numerico |
|
|
36 | 37 | False : no es un string numerico |
|
|
37 | 38 | """ |
|
|
38 | 39 | try: |
|
|
39 | 40 | float( cad ) |
|
|
40 | 41 | return True |
|
|
41 | 42 | except: |
|
|
42 | 43 | return False |
|
|
43 | 44 | |
|
|
44 | 45 | def isThisFileinRange(filename, startUTSeconds, endUTSeconds): |
|
|
45 | 46 | """ |
|
|
46 | 47 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
47 | 48 | |
|
|
48 | 49 | Inputs: |
|
|
49 | 50 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
50 | 51 | |
|
|
51 | 52 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
52 | 53 | segundos contados desde 01/01/1970. |
|
|
53 | 54 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
54 | 55 | segundos contados desde 01/01/1970. |
|
|
55 | 56 | |
|
|
56 | 57 | Return: |
|
|
57 | 58 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
58 | 59 | fecha especificado, de lo contrario retorna False. |
|
|
59 | 60 | |
|
|
60 | 61 | Excepciones: |
|
|
61 | 62 | Si el archivo no existe o no puede ser abierto |
|
|
62 | 63 | Si la cabecera no puede ser leida. |
|
|
63 | 64 | |
|
|
64 | 65 | """ |
|
|
65 | 66 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
66 | 67 | |
|
|
67 | 68 | try: |
|
|
68 | 69 | fp = open(filename,'rb') |
|
|
69 | 70 | except IOError: |
|
|
70 | 71 | traceback.print_exc() |
|
|
71 | 72 | raise IOError, "The file %s can't be opened" %(filename) |
|
|
72 | 73 | |
|
|
73 | 74 | sts = basicHeaderObj.read(fp) |
|
|
74 | 75 | fp.close() |
|
|
75 | 76 | |
|
|
76 | 77 | if not(sts): |
|
|
77 | 78 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|
78 | 79 | return 0 |
|
|
79 | 80 | |
|
|
80 | 81 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
81 | 82 | return 0 |
|
|
82 | 83 | |
|
|
83 | 84 | return 1 |
|
|
84 | 85 | |
|
|
85 | 86 | def isFileinThisTime(filename, startTime, endTime): |
|
|
86 | 87 | """ |
|
|
87 | 88 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
88 | 89 | |
|
|
89 | 90 | Inputs: |
|
|
90 | 91 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
91 | 92 | |
|
|
92 | 93 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
93 | 94 | |
|
|
94 | 95 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
95 | 96 | |
|
|
96 | 97 | Return: |
|
|
97 | 98 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
98 | 99 | fecha especificado, de lo contrario retorna False. |
|
|
99 | 100 | |
|
|
100 | 101 | Excepciones: |
|
|
101 | 102 | Si el archivo no existe o no puede ser abierto |
|
|
102 | 103 | Si la cabecera no puede ser leida. |
|
|
103 | 104 | |
|
|
104 | 105 | """ |
|
|
105 | 106 | |
|
|
106 | 107 | |
|
|
107 | 108 | try: |
|
|
108 | 109 | fp = open(filename,'rb') |
|
|
109 | 110 | except IOError: |
|
|
110 | 111 | traceback.print_exc() |
|
|
111 | 112 | raise IOError, "The file %s can't be opened" %(filename) |
|
|
112 | 113 | |
|
|
113 | 114 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
114 | 115 | sts = basicHeaderObj.read(fp) |
|
|
115 | 116 | fp.close() |
|
|
116 | 117 | |
|
|
117 | 118 | thisDatetime = basicHeaderObj.datatime |
|
|
118 | 119 | thisTime = thisDatetime.time() |
|
|
119 | 120 | |
|
|
120 | 121 | if not(sts): |
|
|
121 | 122 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|
122 | 123 | return None |
|
|
123 | 124 | |
|
|
124 | 125 | if not ((startTime <= thisTime) and (endTime > thisTime)): |
|
|
125 | 126 | return None |
|
|
126 | 127 | |
|
|
127 | 128 | return thisDatetime |
|
|
128 | 129 | |
|
|
129 | 130 | def getFileFromSet(path, ext, set): |
|
|
130 | 131 | validFilelist = [] |
|
|
131 | 132 | fileList = os.listdir(path) |
|
|
132 | 133 | |
|
|
133 | 134 | # 0 1234 567 89A BCDE |
|
|
134 | 135 | # H YYYY DDD SSS .ext |
|
|
135 | 136 | |
|
|
136 | 137 | for thisFile in fileList: |
|
|
137 | 138 | try: |
|
|
138 | 139 | year = int(thisFile[1:5]) |
|
|
139 | 140 | doy = int(thisFile[5:8]) |
|
|
140 | 141 | except: |
|
|
141 | 142 | continue |
|
|
142 | 143 | |
|
|
143 | 144 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
144 | 145 | continue |
|
|
145 | 146 | |
|
|
146 | 147 | validFilelist.append(thisFile) |
|
|
147 | 148 | |
|
|
148 | 149 | myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set)) |
|
|
149 | 150 | |
|
|
150 | 151 | if len(myfile)!= 0: |
|
|
151 | 152 | return myfile[0] |
|
|
152 | 153 | else: |
|
|
153 | 154 | filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower()) |
|
|
154 | 155 | print 'the filename %s does not exist'%filename |
|
|
155 | 156 | print '...going to the last file: ' |
|
|
156 | 157 | |
|
|
157 | 158 | if validFilelist: |
|
|
158 | 159 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
159 | 160 | return validFilelist[-1] |
|
|
160 | 161 | |
|
|
161 | 162 | return None |
|
|
162 | 163 | |
|
|
163 | 164 | def getlastFileFromPath(path, ext): |
|
|
164 | 165 | """ |
|
|
165 | 166 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
166 | 167 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
167 | 168 | |
|
|
168 | 169 | Input: |
|
|
169 | 170 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
170 | 171 | ext : extension de los files contenidos en una carpeta |
|
|
171 | 172 | |
|
|
172 | 173 | Return: |
|
|
173 | 174 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
174 | 175 | """ |
|
|
175 | 176 | validFilelist = [] |
|
|
176 | 177 | fileList = os.listdir(path) |
|
|
177 | 178 | |
|
|
178 | 179 | # 0 1234 567 89A BCDE |
|
|
179 | 180 | # H YYYY DDD SSS .ext |
|
|
180 | 181 | |
|
|
181 | 182 | for thisFile in fileList: |
|
|
182 | 183 | |
|
|
183 | 184 | year = thisFile[1:5] |
|
|
184 | 185 | if not isNumber(year): |
|
|
185 | 186 | continue |
|
|
186 | 187 | |
|
|
187 | 188 | doy = thisFile[5:8] |
|
|
188 | 189 | if not isNumber(doy): |
|
|
189 | 190 | continue |
|
|
190 | 191 | |
|
|
191 | 192 | year = int(year) |
|
|
192 | 193 | doy = int(doy) |
|
|
193 | 194 | |
|
|
194 | 195 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
195 | 196 | continue |
|
|
196 | 197 | |
|
|
197 | 198 | validFilelist.append(thisFile) |
|
|
198 | 199 | |
|
|
199 | 200 | if validFilelist: |
|
|
200 | 201 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
201 | 202 | return validFilelist[-1] |
|
|
202 | 203 | |
|
|
203 | 204 | return None |
|
|
204 | 205 | |
|
|
205 | 206 | def checkForRealPath(path, foldercounter, year, doy, set, ext): |
|
|
206 | 207 | """ |
|
|
207 | 208 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
|
208 | 209 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
|
209 | 210 | el path exacto de un determinado file. |
|
|
210 | 211 | |
|
|
211 | 212 | Example : |
|
|
212 | 213 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
213 | 214 | |
|
|
214 | 215 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
215 | 216 | .../.../y2009307367.ext |
|
|
216 | 217 | .../.../Y2009307367.ext |
|
|
217 | 218 | .../.../x2009307/y2009307367.ext |
|
|
218 | 219 | .../.../x2009307/Y2009307367.ext |
|
|
219 | 220 | .../.../X2009307/y2009307367.ext |
|
|
220 | 221 | .../.../X2009307/Y2009307367.ext |
|
|
221 | 222 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
222 | 223 | |
|
|
223 | 224 | Return: |
|
|
224 | 225 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
|
225 | 226 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
|
226 | 227 | para el filename |
|
|
227 | 228 | """ |
|
|
228 | 229 | fullfilename = None |
|
|
229 | 230 | find_flag = False |
|
|
230 | 231 | filename = None |
|
|
231 | 232 | |
|
|
232 | 233 | prefixDirList = [None,'d','D'] |
|
|
233 | 234 | if ext.lower() == ".r": #voltage |
|
|
234 | 235 | prefixFileList = ['d','D'] |
|
|
235 | 236 | elif ext.lower() == ".pdata": #spectra |
|
|
236 | 237 | prefixFileList = ['p','P'] |
|
|
237 | 238 | else: |
|
|
238 | 239 | return None, filename |
|
|
239 | 240 | |
|
|
240 | 241 | #barrido por las combinaciones posibles |
|
|
241 | 242 | for prefixDir in prefixDirList: |
|
|
242 | 243 | thispath = path |
|
|
243 | 244 | if prefixDir != None: |
|
|
244 | 245 | #formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
245 | 246 | if foldercounter == 0: |
|
|
246 | 247 | thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy )) |
|
|
247 | 248 | else: |
|
|
248 | 249 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter)) |
|
|
249 | 250 | for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D" |
|
|
250 | 251 | filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext |
|
|
251 | 252 | fullfilename = os.path.join( thispath, filename ) #formo el path completo |
|
|
252 | 253 | |
|
|
253 | 254 | if os.path.exists( fullfilename ): #verifico que exista |
|
|
254 | 255 | find_flag = True |
|
|
255 | 256 | break |
|
|
256 | 257 | if find_flag: |
|
|
257 | 258 | break |
|
|
258 | 259 | |
|
|
259 | 260 | if not(find_flag): |
|
|
260 | 261 | return None, filename |
|
|
261 | 262 | |
|
|
262 | 263 | return fullfilename, filename |
|
|
263 | 264 | |
|
|
264 | 265 | def isRadarFolder(folder): |
|
|
265 | 266 | try: |
|
|
266 | 267 | year = int(folder[1:5]) |
|
|
267 | 268 | doy = int(folder[5:8]) |
|
|
268 | 269 | except: |
|
|
269 | 270 | return 0 |
|
|
270 | 271 | |
|
|
271 | 272 | return 1 |
|
|
272 | 273 | |
|
|
273 | 274 | def isRadarFile(file): |
|
|
274 | 275 | try: |
|
|
275 | 276 | year = int(file[1:5]) |
|
|
276 | 277 | doy = int(file[5:8]) |
|
|
277 | 278 | set = int(file[8:11]) |
|
|
278 | 279 | except: |
|
|
279 | 280 | return 0 |
|
|
280 | 281 | |
|
|
281 | 282 | return 1 |
|
|
282 | 283 | |
|
|
283 | 284 | def getDateFromRadarFile(file): |
|
|
284 | 285 | try: |
|
|
285 | 286 | year = int(file[1:5]) |
|
|
286 | 287 | doy = int(file[5:8]) |
|
|
287 | 288 | set = int(file[8:11]) |
|
|
288 | 289 | except: |
|
|
289 | 290 | return None |
|
|
290 | 291 | |
|
|
291 | 292 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) |
|
|
292 | 293 | return thisDate |
|
|
293 | 294 | |
|
|
294 | 295 | class JRODataIO: |
|
|
295 | 296 | |
|
|
296 | 297 | c = 3E8 |
|
|
297 | 298 | |
|
|
298 | 299 | isConfig = False |
|
|
299 | 300 | |
|
|
300 | 301 | basicHeaderObj = None |
|
|
301 | 302 | |
|
|
302 | 303 | systemHeaderObj = None |
|
|
303 | 304 | |
|
|
304 | 305 | radarControllerHeaderObj = None |
|
|
305 | 306 | |
|
|
306 | 307 | processingHeaderObj = None |
|
|
307 | 308 | |
|
|
308 | 309 | online = 0 |
|
|
309 | 310 | |
|
|
310 | 311 | dtype = None |
|
|
311 | 312 | |
|
|
312 | 313 | pathList = [] |
|
|
313 | 314 | |
|
|
314 | 315 | filenameList = [] |
|
|
315 | 316 | |
|
|
316 | 317 | filename = None |
|
|
317 | 318 | |
|
|
318 | 319 | ext = None |
|
|
319 | 320 | |
|
|
320 | 321 | flagIsNewFile = 1 |
|
|
321 | 322 | |
|
|
322 | 323 | flagDiscontinuousBlock = 0 |
|
|
323 | 324 | |
|
|
324 | 325 | flagIsNewBlock = 0 |
|
|
325 | 326 | |
|
|
326 | 327 | fp = None |
|
|
327 | 328 | |
|
|
328 | 329 | firstHeaderSize = 0 |
|
|
329 | 330 | |
|
|
330 | 331 | basicHeaderSize = 24 |
|
|
331 | 332 | |
|
|
332 | 333 | versionFile = 1103 |
|
|
333 | 334 | |
|
|
334 | 335 | fileSize = None |
|
|
335 | 336 | |
|
|
336 | 337 | # ippSeconds = None |
|
|
337 | 338 | |
|
|
338 | 339 | fileSizeByHeader = None |
|
|
339 | 340 | |
|
|
340 | 341 | fileIndex = None |
|
|
341 | 342 | |
|
|
342 | 343 | profileIndex = None |
|
|
343 | 344 | |
|
|
344 | 345 | blockIndex = None |
|
|
345 | 346 | |
|
|
346 | 347 | nTotalBlocks = None |
|
|
347 | 348 | |
|
|
348 | 349 | maxTimeStep = 30 |
|
|
349 | 350 | |
|
|
350 | 351 | lastUTTime = None |
|
|
351 | 352 | |
|
|
352 | 353 | datablock = None |
|
|
353 | 354 | |
|
|
354 | 355 | dataOut = None |
|
|
355 | 356 | |
|
|
356 | 357 | blocksize = None |
|
|
357 | 358 | |
|
|
358 | 359 | getByBlock = False |
|
|
359 | 360 | |
|
|
360 | 361 | def __init__(self): |
|
|
361 | 362 | |
|
|
362 | 363 | raise ValueError, "Not implemented" |
|
|
363 | 364 | |
|
|
364 | 365 | def run(self): |
|
|
365 | 366 | |
|
|
366 | 367 | raise ValueError, "Not implemented" |
|
|
367 | 368 | |
|
|
369 | def getDtypeWidth(self): | |
|
|
370 | ||
|
|
371 | dtype_index = get_dtype_index(self.dtype) | |
|
|
372 | dtype_width = get_dtype_width(dtype_index) | |
|
|
373 | ||
|
|
374 | return dtype_width | |
|
|
375 | ||
|
|
368 | 376 | class JRODataReader(JRODataIO): |
|
|
369 | 377 | |
|
|
370 | 378 | nReadBlocks = 0 |
|
|
371 | 379 | |
|
|
372 | 380 | delay = 10 #number of seconds waiting a new file |
|
|
373 | 381 | |
|
|
374 | 382 | nTries = 3 #quantity tries |
|
|
375 | 383 | |
|
|
376 | 384 | nFiles = 3 #number of files for searching |
|
|
377 | 385 | |
|
|
378 | 386 | path = None |
|
|
379 | 387 | |
|
|
380 | 388 | foldercounter = 0 |
|
|
381 | 389 | |
|
|
382 | 390 | flagNoMoreFiles = 0 |
|
|
383 | 391 | |
|
|
384 | 392 | datetimeList = [] |
|
|
385 | 393 | |
|
|
386 | 394 | __isFirstTimeOnline = 1 |
|
|
387 | 395 | |
|
|
388 | 396 | __printInfo = True |
|
|
389 | 397 | |
|
|
390 | 398 | profileIndex = None |
|
|
391 | 399 | |
|
|
392 | 400 | nTxs = 1 |
|
|
393 | 401 | |
|
|
394 | 402 | txIndex = None |
|
|
395 | 403 | |
|
|
396 | 404 | def __init__(self): |
|
|
397 | 405 | |
|
|
398 | 406 | """ |
|
|
399 | 407 | |
|
|
400 | 408 | """ |
|
|
401 | 409 | |
|
|
402 | 410 | # raise NotImplementedError, "This method has not been implemented" |
|
|
403 | 411 | |
|
|
404 | 412 | |
|
|
405 | 413 | def createObjByDefault(self): |
|
|
406 | 414 | """ |
|
|
407 | 415 | |
|
|
408 | 416 | """ |
|
|
409 | 417 | raise NotImplementedError, "This method has not been implemented" |
|
|
410 | 418 | |
|
|
411 | 419 | def getBlockDimension(self): |
|
|
412 | 420 | |
|
|
413 | 421 | raise NotImplementedError, "No implemented" |
|
|
414 | 422 | |
|
|
415 | 423 | def __searchFilesOffLine(self, |
|
|
416 | 424 | path, |
|
|
417 | 425 | startDate=None, |
|
|
418 | 426 | endDate=None, |
|
|
419 | 427 | startTime=datetime.time(0,0,0), |
|
|
420 | 428 | endTime=datetime.time(23,59,59), |
|
|
421 | 429 | set=None, |
|
|
422 | 430 | expLabel='', |
|
|
423 | 431 | ext='.r', |
|
|
424 | 432 | walk=True): |
|
|
425 | 433 | |
|
|
426 | 434 | self.filenameList = [] |
|
|
427 | 435 | self.datetimeList = [] |
|
|
428 | 436 | |
|
|
429 | 437 | pathList = [] |
|
|
430 | 438 | |
|
|
431 | 439 | if not walk: |
|
|
432 | 440 | #pathList.append(path) |
|
|
433 | 441 | multi_path = path.split(',') |
|
|
434 | 442 | for single_path in multi_path: |
|
|
435 | 443 | |
|
|
436 | 444 | if not os.path.isdir(single_path): |
|
|
437 | 445 | continue |
|
|
438 | 446 | |
|
|
439 | 447 | pathList.append(single_path) |
|
|
440 | 448 | |
|
|
441 | 449 | else: |
|
|
442 | 450 | #dirList = [] |
|
|
443 | 451 | multi_path = path.split(',') |
|
|
444 | 452 | for single_path in multi_path: |
|
|
445 | 453 | |
|
|
446 | 454 | if not os.path.isdir(single_path): |
|
|
447 | 455 | continue |
|
|
448 | 456 | |
|
|
449 | 457 | dirList = [] |
|
|
450 | 458 | for thisPath in os.listdir(single_path): |
|
|
451 | 459 | if not os.path.isdir(os.path.join(single_path,thisPath)): |
|
|
452 | 460 | continue |
|
|
453 | 461 | if not isRadarFolder(thisPath): |
|
|
454 | 462 | continue |
|
|
455 | 463 | |
|
|
456 | 464 | dirList.append(thisPath) |
|
|
457 | 465 | |
|
|
458 | 466 | if not(dirList): |
|
|
459 | 467 | return None, None |
|
|
460 | 468 | |
|
|
461 | 469 | if startDate and endDate: |
|
|
462 | 470 | thisDate = startDate |
|
|
463 | 471 | |
|
|
464 | 472 | while(thisDate <= endDate): |
|
|
465 | 473 | year = thisDate.timetuple().tm_year |
|
|
466 | 474 | doy = thisDate.timetuple().tm_yday |
|
|
467 | 475 | |
|
|
468 | 476 | matchlist = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy) + '*') |
|
|
469 | 477 | if len(matchlist) == 0: |
|
|
470 | 478 | thisDate += datetime.timedelta(1) |
|
|
471 | 479 | continue |
|
|
472 | 480 | for match in matchlist: |
|
|
473 | 481 | pathList.append(os.path.join(single_path,match,expLabel)) |
|
|
474 | 482 | |
|
|
475 | 483 | thisDate += datetime.timedelta(1) |
|
|
476 | 484 | else: |
|
|
477 | 485 | for thiDir in dirList: |
|
|
478 | 486 | pathList.append(os.path.join(single_path,thiDir,expLabel)) |
|
|
479 | 487 | |
|
|
480 | 488 | if pathList == []: |
|
|
481 | 489 | print "Any folder was found for the date range: %s-%s" %(startDate, endDate) |
|
|
482 | 490 | return None, None |
|
|
483 | 491 | |
|
|
484 | 492 | print "%d folder(s) was(were) found for the date range: %s - %s" %(len(pathList), startDate, endDate) |
|
|
485 | 493 | |
|
|
486 | 494 | filenameList = [] |
|
|
487 | 495 | datetimeList = [] |
|
|
488 | 496 | pathDict = {} |
|
|
489 | 497 | filenameList_to_sort = [] |
|
|
490 | 498 | |
|
|
491 | 499 | for i in range(len(pathList)): |
|
|
492 | 500 | |
|
|
493 | 501 | thisPath = pathList[i] |
|
|
494 | 502 | |
|
|
495 | 503 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
496 | 504 | if len(fileList) < 1: |
|
|
497 | 505 | continue |
|
|
498 | 506 | fileList.sort() |
|
|
499 | 507 | pathDict.setdefault(fileList[0]) |
|
|
500 | 508 | pathDict[fileList[0]] = i |
|
|
501 | 509 | filenameList_to_sort.append(fileList[0]) |
|
|
502 | 510 | |
|
|
503 | 511 | filenameList_to_sort.sort() |
|
|
504 | 512 | |
|
|
505 | 513 | for file in filenameList_to_sort: |
|
|
506 | 514 | thisPath = pathList[pathDict[file]] |
|
|
507 | 515 | |
|
|
508 | 516 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
509 | 517 | fileList.sort() |
|
|
510 | 518 | |
|
|
511 | 519 | for file in fileList: |
|
|
512 | 520 | |
|
|
513 | 521 | filename = os.path.join(thisPath,file) |
|
|
514 | 522 | thisDatetime = isFileinThisTime(filename, startTime, endTime) |
|
|
515 | 523 | |
|
|
516 | 524 | if not(thisDatetime): |
|
|
517 | 525 | continue |
|
|
518 | 526 | |
|
|
519 | 527 | filenameList.append(filename) |
|
|
520 | 528 | datetimeList.append(thisDatetime) |
|
|
521 | 529 | |
|
|
522 | 530 | if not(filenameList): |
|
|
523 | 531 | print "Any file was found for the time range %s - %s" %(startTime, endTime) |
|
|
524 | 532 | return None, None |
|
|
525 | 533 | |
|
|
526 | 534 | print "%d file(s) was(were) found for the time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
|
527 | 535 | |
|
|
528 | 536 | |
|
|
529 | 537 | for i in range(len(filenameList)): |
|
|
530 | 538 | print "%s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|
531 | 539 | |
|
|
532 | 540 | self.filenameList = filenameList |
|
|
533 | 541 | self.datetimeList = datetimeList |
|
|
534 | 542 | |
|
|
535 | 543 | return pathList, filenameList |
|
|
536 | 544 | |
|
|
537 | 545 | def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None): |
|
|
538 | 546 | |
|
|
539 | 547 | """ |
|
|
540 | 548 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
541 | 549 | devuelve el archivo encontrado ademas de otros datos. |
|
|
542 | 550 | |
|
|
543 | 551 | Input: |
|
|
544 | 552 | path : carpeta donde estan contenidos los files que contiene data |
|
|
545 | 553 | |
|
|
546 | 554 | expLabel : Nombre del subexperimento (subfolder) |
|
|
547 | 555 | |
|
|
548 | 556 | ext : extension de los files |
|
|
549 | 557 | |
|
|
550 | 558 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
551 | 559 | |
|
|
552 | 560 | Return: |
|
|
553 | 561 | directory : eL directorio donde esta el file encontrado |
|
|
554 | 562 | filename : el ultimo file de una determinada carpeta |
|
|
555 | 563 | year : el anho |
|
|
556 | 564 | doy : el numero de dia del anho |
|
|
557 | 565 | set : el set del archivo |
|
|
558 | 566 | |
|
|
559 | 567 | |
|
|
560 | 568 | """ |
|
|
561 | 569 | dirList = [] |
|
|
562 | 570 | |
|
|
563 | 571 | if not walk: |
|
|
564 | 572 | fullpath = path |
|
|
565 | 573 | foldercounter = 0 |
|
|
566 | 574 | else: |
|
|
567 | 575 | #Filtra solo los directorios |
|
|
568 | 576 | for thisPath in os.listdir(path): |
|
|
569 | 577 | if not os.path.isdir(os.path.join(path,thisPath)): |
|
|
570 | 578 | continue |
|
|
571 | 579 | if not isRadarFolder(thisPath): |
|
|
572 | 580 | continue |
|
|
573 | 581 | |
|
|
574 | 582 | dirList.append(thisPath) |
|
|
575 | 583 | |
|
|
576 | 584 | if not(dirList): |
|
|
577 | 585 | return None, None, None, None, None, None |
|
|
578 | 586 | |
|
|
579 | 587 | dirList = sorted( dirList, key=str.lower ) |
|
|
580 | 588 | |
|
|
581 | 589 | doypath = dirList[-1] |
|
|
582 | 590 | foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0 |
|
|
583 | 591 | fullpath = os.path.join(path, doypath, expLabel) |
|
|
584 | 592 | |
|
|
585 | 593 | |
|
|
586 | 594 | print "%s folder was found: " %(fullpath ) |
|
|
587 | 595 | |
|
|
588 | 596 | if set == None: |
|
|
589 | 597 | filename = getlastFileFromPath(fullpath, ext) |
|
|
590 | 598 | else: |
|
|
591 | 599 | filename = getFileFromSet(fullpath, ext, set) |
|
|
592 | 600 | |
|
|
593 | 601 | if not(filename): |
|
|
594 | 602 | return None, None, None, None, None, None |
|
|
595 | 603 | |
|
|
596 | 604 | print "%s file was found" %(filename) |
|
|
597 | 605 | |
|
|
598 | 606 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
|
599 | 607 | return None, None, None, None, None, None |
|
|
600 | 608 | |
|
|
601 | 609 | year = int( filename[1:5] ) |
|
|
602 | 610 | doy = int( filename[5:8] ) |
|
|
603 | 611 | set = int( filename[8:11] ) |
|
|
604 | 612 | |
|
|
605 | 613 | return fullpath, foldercounter, filename, year, doy, set |
|
|
606 | 614 | |
|
|
607 | 615 | def __setNextFileOffline(self): |
|
|
608 | 616 | |
|
|
609 | 617 | idFile = self.fileIndex |
|
|
610 | 618 | |
|
|
611 | 619 | while (True): |
|
|
612 | 620 | idFile += 1 |
|
|
613 | 621 | if not(idFile < len(self.filenameList)): |
|
|
614 | 622 | self.flagNoMoreFiles = 1 |
|
|
615 | 623 | # print "[Reading] No more Files" |
|
|
616 | 624 | return 0 |
|
|
617 | 625 | |
|
|
618 | 626 | filename = self.filenameList[idFile] |
|
|
619 | 627 | |
|
|
620 | 628 | if not(self.__verifyFile(filename)): |
|
|
621 | 629 | continue |
|
|
622 | 630 | |
|
|
623 | 631 | fileSize = os.path.getsize(filename) |
|
|
624 | 632 | fp = open(filename,'rb') |
|
|
625 | 633 | break |
|
|
626 | 634 | |
|
|
627 | 635 | self.flagIsNewFile = 1 |
|
|
628 | 636 | self.fileIndex = idFile |
|
|
629 | 637 | self.filename = filename |
|
|
630 | 638 | self.fileSize = fileSize |
|
|
631 | 639 | self.fp = fp |
|
|
632 | 640 | |
|
|
633 | 641 | # print "[Reading] Setting the file: %s"%self.filename |
|
|
634 | 642 | |
|
|
635 | 643 | return 1 |
|
|
636 | 644 | |
|
|
637 | 645 | def __setNextFileOnline(self): |
|
|
638 | 646 | """ |
|
|
639 | 647 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
640 | 648 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
641 | 649 | siguientes. |
|
|
642 | 650 | |
|
|
643 | 651 | Affected: |
|
|
644 | 652 | self.flagIsNewFile |
|
|
645 | 653 | self.filename |
|
|
646 | 654 | self.fileSize |
|
|
647 | 655 | self.fp |
|
|
648 | 656 | self.set |
|
|
649 | 657 | self.flagNoMoreFiles |
|
|
650 | 658 | |
|
|
651 | 659 | Return: |
|
|
652 | 660 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
653 | 661 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
654 | 662 | |
|
|
655 | 663 | Excepciones: |
|
|
656 | 664 | Si un determinado file no puede ser abierto |
|
|
657 | 665 | """ |
|
|
658 | 666 | nFiles = 0 |
|
|
659 | 667 | fileOk_flag = False |
|
|
660 | 668 | firstTime_flag = True |
|
|
661 | 669 | |
|
|
662 | 670 | self.set += 1 |
|
|
663 | 671 | |
|
|
664 | 672 | if self.set > 999: |
|
|
665 | 673 | self.set = 0 |
|
|
666 | 674 | self.foldercounter += 1 |
|
|
667 | 675 | |
|
|
668 | 676 | #busca el 1er file disponible |
|
|
669 | 677 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
670 | 678 | if fullfilename: |
|
|
671 | 679 | if self.__verifyFile(fullfilename, False): |
|
|
672 | 680 | fileOk_flag = True |
|
|
673 | 681 | |
|
|
674 | 682 | #si no encuentra un file entonces espera y vuelve a buscar |
|
|
675 | 683 | if not(fileOk_flag): |
|
|
676 | 684 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
|
677 | 685 | |
|
|
678 | 686 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
|
679 | 687 | tries = self.nTries |
|
|
680 | 688 | else: |
|
|
681 | 689 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
|
682 | 690 | |
|
|
683 | 691 | for nTries in range( tries ): |
|
|
684 | 692 | if firstTime_flag: |
|
|
685 | 693 | print "\t[Reading] Waiting %0.2f sec for the file \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
|
686 | 694 | sleep( self.delay ) |
|
|
687 | 695 | else: |
|
|
688 | 696 | print "\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|
689 | 697 | |
|
|
690 | 698 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
691 | 699 | if fullfilename: |
|
|
692 | 700 | if self.__verifyFile(fullfilename): |
|
|
693 | 701 | fileOk_flag = True |
|
|
694 | 702 | break |
|
|
695 | 703 | |
|
|
696 | 704 | if fileOk_flag: |
|
|
697 | 705 | break |
|
|
698 | 706 | |
|
|
699 | 707 | firstTime_flag = False |
|
|
700 | 708 | |
|
|
701 | 709 | print "\t[Reading] Skipping the file \"%s\" due to this file doesn't exist" % filename |
|
|
702 | 710 | self.set += 1 |
|
|
703 | 711 | |
|
|
704 | 712 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
705 | 713 | self.set = 0 |
|
|
706 | 714 | self.doy += 1 |
|
|
707 | 715 | self.foldercounter = 0 |
|
|
708 | 716 | |
|
|
709 | 717 | if fileOk_flag: |
|
|
710 | 718 | self.fileSize = os.path.getsize( fullfilename ) |
|
|
711 | 719 | self.filename = fullfilename |
|
|
712 | 720 | self.flagIsNewFile = 1 |
|
|
713 | 721 | if self.fp != None: self.fp.close() |
|
|
714 | 722 | self.fp = open(fullfilename, 'rb') |
|
|
715 | 723 | self.flagNoMoreFiles = 0 |
|
|
716 | 724 | # print '[Reading] Setting the file: %s' % fullfilename |
|
|
717 | 725 | else: |
|
|
718 | 726 | self.fileSize = 0 |
|
|
719 | 727 | self.filename = None |
|
|
720 | 728 | self.flagIsNewFile = 0 |
|
|
721 | 729 | self.fp = None |
|
|
722 | 730 | self.flagNoMoreFiles = 1 |
|
|
723 | 731 | # print '[Reading] No more files to read' |
|
|
724 | 732 | |
|
|
725 | 733 | return fileOk_flag |
|
|
726 | 734 | |
|
|
727 | 735 | def setNextFile(self): |
|
|
728 | 736 | if self.fp != None: |
|
|
729 | 737 | self.fp.close() |
|
|
730 | 738 | |
|
|
731 | 739 | if self.online: |
|
|
732 | 740 | newFile = self.__setNextFileOnline() |
|
|
733 | 741 | else: |
|
|
734 | 742 | newFile = self.__setNextFileOffline() |
|
|
735 | 743 | |
|
|
736 | 744 | if not(newFile): |
|
|
737 | 745 | print '[Reading] No more files to read' |
|
|
738 | 746 | return 0 |
|
|
739 | 747 | |
|
|
740 | 748 | print '[Reading] Setting the file: %s' % self.filename |
|
|
741 | 749 | |
|
|
742 | 750 | self.__readFirstHeader() |
|
|
743 | 751 | self.nReadBlocks = 0 |
|
|
744 | 752 | return 1 |
|
|
745 | 753 | |
|
|
746 | 754 | def __waitNewBlock(self): |
|
|
747 | 755 | """ |
|
|
748 | 756 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
749 | 757 | |
|
|
750 | 758 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
751 | 759 | """ |
|
|
752 | 760 | if not self.online: |
|
|
753 | 761 | return 0 |
|
|
754 | 762 | |
|
|
755 | 763 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
756 | 764 | return 0 |
|
|
757 | 765 | |
|
|
758 | 766 | currentPointer = self.fp.tell() |
|
|
759 | 767 | |
|
|
760 | 768 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
761 | 769 | |
|
|
762 | 770 | for nTries in range( self.nTries ): |
|
|
763 | 771 | |
|
|
764 | 772 | self.fp.close() |
|
|
765 | 773 | self.fp = open( self.filename, 'rb' ) |
|
|
766 | 774 | self.fp.seek( currentPointer ) |
|
|
767 | 775 | |
|
|
768 | 776 | self.fileSize = os.path.getsize( self.filename ) |
|
|
769 | 777 | currentSize = self.fileSize - currentPointer |
|
|
770 | 778 | |
|
|
771 | 779 | if ( currentSize >= neededSize ): |
|
|
772 | 780 | self.basicHeaderObj.read(self.fp) |
|
|
773 | 781 | return 1 |
|
|
774 | 782 | |
|
|
775 | 783 | if self.fileSize == self.fileSizeByHeader: |
|
|
776 | 784 | # self.flagEoF = True |
|
|
777 | 785 | return 0 |
|
|
778 | 786 | |
|
|
779 | 787 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
780 | 788 | sleep( self.delay ) |
|
|
781 | 789 | |
|
|
782 | 790 | |
|
|
783 | 791 | return 0 |
|
|
784 | 792 | |
|
|
785 | 793 | def waitDataBlock(self,pointer_location): |
|
|
786 | 794 | |
|
|
787 | 795 | currentPointer = pointer_location |
|
|
788 | 796 | |
|
|
789 | 797 | neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize |
|
|
790 | 798 | |
|
|
791 | 799 | for nTries in range( self.nTries ): |
|
|
792 | 800 | self.fp.close() |
|
|
793 | 801 | self.fp = open( self.filename, 'rb' ) |
|
|
794 | 802 | self.fp.seek( currentPointer ) |
|
|
795 | 803 | |
|
|
796 | 804 | self.fileSize = os.path.getsize( self.filename ) |
|
|
797 | 805 | currentSize = self.fileSize - currentPointer |
|
|
798 | 806 | |
|
|
799 | 807 | if ( currentSize >= neededSize ): |
|
|
800 | 808 | return 1 |
|
|
801 | 809 | |
|
|
802 | 810 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
803 | 811 | sleep( self.delay ) |
|
|
804 | 812 | |
|
|
805 | 813 | return 0 |
|
|
806 | 814 | |
|
|
807 | 815 | def __jumpToLastBlock(self): |
|
|
808 | 816 | |
|
|
809 | 817 | if not(self.__isFirstTimeOnline): |
|
|
810 | 818 | return |
|
|
811 | 819 | |
|
|
812 | 820 | csize = self.fileSize - self.fp.tell() |
|
|
813 | 821 | blocksize = self.processingHeaderObj.blockSize |
|
|
814 | 822 | |
|
|
815 | 823 | #salta el primer bloque de datos |
|
|
816 | 824 | if csize > self.processingHeaderObj.blockSize: |
|
|
817 | 825 | self.fp.seek(self.fp.tell() + blocksize) |
|
|
818 | 826 | else: |
|
|
819 | 827 | return |
|
|
820 | 828 | |
|
|
821 | 829 | csize = self.fileSize - self.fp.tell() |
|
|
822 | 830 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
823 | 831 | while True: |
|
|
824 | 832 | |
|
|
825 | 833 | if self.fp.tell()<self.fileSize: |
|
|
826 | 834 | self.fp.seek(self.fp.tell() + neededsize) |
|
|
827 | 835 | else: |
|
|
828 | 836 | self.fp.seek(self.fp.tell() - neededsize) |
|
|
829 | 837 | break |
|
|
830 | 838 | |
|
|
831 | 839 | # csize = self.fileSize - self.fp.tell() |
|
|
832 | 840 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
833 | 841 | # factor = int(csize/neededsize) |
|
|
834 | 842 | # if factor > 0: |
|
|
835 | 843 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
|
836 | 844 | |
|
|
837 | 845 | self.flagIsNewFile = 0 |
|
|
838 | 846 | self.__isFirstTimeOnline = 0 |
|
|
839 | 847 | |
|
|
840 | 848 | def __setNewBlock(self): |
|
|
841 | 849 | |
|
|
842 | 850 | if self.fp == None: |
|
|
843 | 851 | return 0 |
|
|
844 | 852 | |
|
|
845 | 853 | if self.online: |
|
|
846 | 854 | self.__jumpToLastBlock() |
|
|
847 | 855 | |
|
|
848 | 856 | if self.flagIsNewFile: |
|
|
849 | 857 | return 1 |
|
|
850 | 858 | |
|
|
851 | 859 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
852 | 860 | currentSize = self.fileSize - self.fp.tell() |
|
|
853 | 861 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
854 | 862 | |
|
|
855 | 863 | if (currentSize >= neededSize): |
|
|
856 | 864 | self.basicHeaderObj.read(self.fp) |
|
|
857 | 865 | return 1 |
|
|
858 | 866 | |
|
|
859 | 867 | if self.__waitNewBlock(): |
|
|
860 | 868 | return 1 |
|
|
861 | 869 | |
|
|
862 | 870 | if not(self.setNextFile()): |
|
|
863 | 871 | return 0 |
|
|
864 | 872 | |
|
|
865 | 873 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
|
866 | 874 | |
|
|
867 | 875 | self.flagDiscontinuousBlock = 0 |
|
|
868 | 876 | |
|
|
869 | 877 | if deltaTime > self.maxTimeStep: |
|
|
870 | 878 | self.flagDiscontinuousBlock = 1 |
|
|
871 | 879 | |
|
|
872 | 880 | return 1 |
|
|
873 | 881 | |
|
|
874 | 882 | def readNextBlock(self): |
|
|
883 | ||
|
|
875 | 884 | if not(self.__setNewBlock()): |
|
|
876 | 885 | return 0 |
|
|
877 | 886 | |
|
|
878 | 887 | if not(self.readBlock()): |
|
|
879 | 888 | return 0 |
|
|
880 | ||
|
|
889 | ||
|
|
890 | print "[Reading] Block No. %d/%d -> %s" %(self.basicHeaderObj.dataBlock+1, | |
|
|
891 | self.processingHeaderObj.dataBlocksPerFile, | |
|
|
892 | self.dataOut.datatime.ctime()) | |
|
|
881 | 893 | return 1 |
|
|
882 | 894 | |
|
|
883 | 895 | def __readFirstHeader(self): |
|
|
884 | 896 | |
|
|
885 | 897 | self.basicHeaderObj.read(self.fp) |
|
|
886 | 898 | self.systemHeaderObj.read(self.fp) |
|
|
887 | 899 | self.radarControllerHeaderObj.read(self.fp) |
|
|
888 | 900 | self.processingHeaderObj.read(self.fp) |
|
|
889 | 901 | |
|
|
890 | 902 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
891 | 903 | |
|
|
892 | 904 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
893 | 905 | if datatype == 0: |
|
|
894 | 906 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
895 | 907 | elif datatype == 1: |
|
|
896 | 908 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
897 | 909 | elif datatype == 2: |
|
|
898 | 910 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
899 | 911 | elif datatype == 3: |
|
|
900 | 912 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
901 | 913 | elif datatype == 4: |
|
|
902 | 914 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
903 | 915 | elif datatype == 5: |
|
|
904 | 916 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
905 | 917 | else: |
|
|
906 | 918 | raise ValueError, 'Data type was not defined' |
|
|
907 | 919 | |
|
|
908 | 920 | self.dtype = datatype_str |
|
|
909 | 921 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
910 | 922 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
911 | 923 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
912 | 924 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
913 | 925 | self.getBlockDimension() |
|
|
914 | 926 | |
|
|
915 | 927 | def __verifyFile(self, filename, msgFlag=True): |
|
|
916 | 928 | msg = None |
|
|
917 | 929 | try: |
|
|
918 | 930 | fp = open(filename, 'rb') |
|
|
919 | 931 | currentPosition = fp.tell() |
|
|
920 | 932 | except IOError: |
|
|
921 | 933 | traceback.print_exc() |
|
|
922 | 934 | if msgFlag: |
|
|
923 | 935 | print "[Reading] The file %s can't be opened" % (filename) |
|
|
924 | 936 | return False |
|
|
925 | 937 | |
|
|
926 | 938 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
927 | 939 | |
|
|
928 | 940 | if neededSize == 0: |
|
|
929 | 941 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
930 | 942 | systemHeaderObj = SystemHeader() |
|
|
931 | 943 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
932 | 944 | processingHeaderObj = ProcessingHeader() |
|
|
933 | 945 | |
|
|
934 | 946 | try: |
|
|
935 | 947 | if not( basicHeaderObj.read(fp) ): raise IOError |
|
|
936 | 948 | if not( systemHeaderObj.read(fp) ): raise IOError |
|
|
937 | 949 | if not( radarControllerHeaderObj.read(fp) ): raise IOError |
|
|
938 | 950 | if not( processingHeaderObj.read(fp) ): raise IOError |
|
|
939 | 951 | # data_type = int(numpy.log2((processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
940 | 952 | |
|
|
941 | 953 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
942 | 954 | |
|
|
943 | 955 | except IOError: |
|
|
944 | 956 | traceback.print_exc() |
|
|
945 | 957 | if msgFlag: |
|
|
946 | 958 | print "[Reading] The file %s is empty or it hasn't enough data" % filename |
|
|
947 | 959 | |
|
|
948 | 960 | fp.close() |
|
|
949 | 961 | return False |
|
|
950 | 962 | else: |
|
|
951 | 963 | msg = "[Reading] Skipping the file %s due to it hasn't enough data" %filename |
|
|
952 | 964 | |
|
|
953 | 965 | fp.close() |
|
|
954 | 966 | fileSize = os.path.getsize(filename) |
|
|
955 | 967 | currentSize = fileSize - currentPosition |
|
|
956 | 968 | if currentSize < neededSize: |
|
|
957 | 969 | if msgFlag and (msg != None): |
|
|
958 | 970 | print msg #print"\tSkipping the file %s due to it hasn't enough data" %filename |
|
|
959 | 971 | return False |
|
|
960 | 972 | |
|
|
961 | 973 | return True |
|
|
962 | 974 | |
|
|
963 | 975 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True): |
|
|
964 | 976 | |
|
|
965 | 977 | dateList = [] |
|
|
966 | 978 | pathList = [] |
|
|
967 | 979 | |
|
|
968 | 980 | if not walk: |
|
|
969 | 981 | #pathList.append(path) |
|
|
970 | 982 | multi_path = path.split(',') |
|
|
971 | 983 | for single_path in multi_path: |
|
|
972 | 984 | |
|
|
973 | 985 | if not os.path.isdir(single_path): |
|
|
974 | 986 | continue |
|
|
975 | 987 | |
|
|
976 | 988 | ok = False |
|
|
977 | 989 | fileList = glob.glob1(single_path, "*"+ext) |
|
|
978 | 990 | |
|
|
979 | 991 | for thisFile in fileList: |
|
|
980 | 992 | |
|
|
981 | 993 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
|
982 | 994 | continue |
|
|
983 | 995 | |
|
|
984 | 996 | if not isRadarFile(thisFile): |
|
|
985 | 997 | continue |
|
|
986 | 998 | |
|
|
987 | 999 | ok = True |
|
|
988 | 1000 | thisDate = getDateFromRadarFile(thisFile) |
|
|
989 | 1001 | |
|
|
990 | 1002 | if thisDate not in dateList: |
|
|
991 | 1003 | dateList.append(thisDate) |
|
|
992 | 1004 | |
|
|
993 | 1005 | if ok: |
|
|
994 | 1006 | pathList.append(single_path) |
|
|
995 | 1007 | |
|
|
996 | 1008 | return dateList |
|
|
997 | 1009 | |
|
|
998 | 1010 | multi_path = path.split(',') |
|
|
999 | 1011 | for single_path in multi_path: |
|
|
1000 | 1012 | |
|
|
1001 | 1013 | if not os.path.isdir(single_path): |
|
|
1002 | 1014 | continue |
|
|
1003 | 1015 | |
|
|
1004 | 1016 | dirList = [] |
|
|
1005 | 1017 | |
|
|
1006 | 1018 | for thisPath in os.listdir(single_path): |
|
|
1007 | 1019 | |
|
|
1008 | 1020 | if not os.path.isdir(os.path.join(single_path,thisPath)): |
|
|
1009 | 1021 | continue |
|
|
1010 | 1022 | |
|
|
1011 | 1023 | if not isRadarFolder(thisPath): |
|
|
1012 | 1024 | continue |
|
|
1013 | 1025 | |
|
|
1014 | 1026 | dirList.append(thisPath) |
|
|
1015 | 1027 | |
|
|
1016 | 1028 | if not dirList: |
|
|
1017 | 1029 | return dateList |
|
|
1018 | 1030 | |
|
|
1019 | 1031 | if startDate and endDate: |
|
|
1020 | 1032 | thisDate = startDate |
|
|
1021 | 1033 | |
|
|
1022 | 1034 | while(thisDate <= endDate): |
|
|
1023 | 1035 | year = thisDate.timetuple().tm_year |
|
|
1024 | 1036 | doy = thisDate.timetuple().tm_yday |
|
|
1025 | 1037 | |
|
|
1026 | 1038 | matchlist = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy) + '*') |
|
|
1027 | 1039 | if len(matchlist) == 0: |
|
|
1028 | 1040 | thisDate += datetime.timedelta(1) |
|
|
1029 | 1041 | continue |
|
|
1030 | 1042 | |
|
|
1031 | 1043 | for match in matchlist: |
|
|
1032 | 1044 | pathList.append(os.path.join(single_path,match,expLabel)) |
|
|
1033 | 1045 | dateList.append(thisDate) |
|
|
1034 | 1046 | |
|
|
1035 | 1047 | thisDate += datetime.timedelta(1) |
|
|
1036 | 1048 | else: |
|
|
1037 | 1049 | for thisDir in dirList: |
|
|
1038 | 1050 | year = int(thisDir[1:5]) |
|
|
1039 | 1051 | doy = int(thisDir[5:8]) |
|
|
1040 | 1052 | thisDate = datetime.date(year,1,1) + datetime.timedelta(doy-1) |
|
|
1041 | 1053 | |
|
|
1042 | 1054 | pathList.append(os.path.join(single_path,thisDir,expLabel)) |
|
|
1043 | 1055 | dateList.append(thisDate) |
|
|
1044 | 1056 | |
|
|
1045 | 1057 | return dateList |
|
|
1046 | 1058 | |
|
|
1047 | 1059 | |
|
|
1048 | 1060 | def setup(self, |
|
|
1049 | 1061 | path=None, |
|
|
1050 | 1062 | startDate=None, |
|
|
1051 | 1063 | endDate=None, |
|
|
1052 | 1064 | startTime=datetime.time(0,0,0), |
|
|
1053 | 1065 | endTime=datetime.time(23,59,59), |
|
|
1054 | 1066 | set=None, |
|
|
1055 | 1067 | expLabel = "", |
|
|
1056 | 1068 | ext = None, |
|
|
1057 | 1069 | online = False, |
|
|
1058 | 1070 | delay = 60, |
|
|
1059 | 1071 | walk = True, |
|
|
1060 | 1072 | getblock = False, |
|
|
1061 | 1073 | nTxs = 1): |
|
|
1062 | 1074 | |
|
|
1063 | 1075 | if path == None: |
|
|
1064 | 1076 | raise ValueError, "[Reading] The path is not valid" |
|
|
1065 | 1077 | |
|
|
1066 | 1078 | if ext == None: |
|
|
1067 | 1079 | ext = self.ext |
|
|
1068 | 1080 | |
|
|
1069 | 1081 | if online: |
|
|
1070 | 1082 | print "[Reading] Searching files in online mode..." |
|
|
1071 | 1083 | |
|
|
1072 | 1084 | for nTries in range( self.nTries ): |
|
|
1073 | 1085 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
|
1074 | 1086 | |
|
|
1075 | 1087 | if fullpath: |
|
|
1076 | 1088 | break |
|
|
1077 | 1089 | |
|
|
1078 | 1090 | print '[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
|
1079 | 1091 | sleep( self.delay ) |
|
|
1080 | 1092 | |
|
|
1081 | 1093 | if not(fullpath): |
|
|
1082 | 1094 | print "[Reading] There 'isn't any valid file in %s" % path |
|
|
1083 | 1095 | return None |
|
|
1084 | 1096 | |
|
|
1085 | 1097 | self.year = year |
|
|
1086 | 1098 | self.doy = doy |
|
|
1087 | 1099 | self.set = set - 1 |
|
|
1088 | 1100 | self.path = path |
|
|
1089 | 1101 | self.foldercounter = foldercounter |
|
|
1090 | 1102 | last_set = None |
|
|
1091 | 1103 | |
|
|
1092 | 1104 | else: |
|
|
1093 | 1105 | print "[Reading] Searching files in offline mode ..." |
|
|
1094 | 1106 | pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|
1095 | 1107 | startTime=startTime, endTime=endTime, |
|
|
1096 | 1108 | set=set, expLabel=expLabel, ext=ext, |
|
|
1097 | 1109 | walk=walk) |
|
|
1098 | 1110 | |
|
|
1099 | 1111 | if not(pathList): |
|
|
1100 | 1112 | print "[Reading] No *%s files into the folder %s \nfor the range: %s - %s"%(ext, path, |
|
|
1101 | 1113 | datetime.datetime.combine(startDate,startTime).ctime(), |
|
|
1102 | 1114 | datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
1103 | 1115 | |
|
|
1104 | 1116 | sys.exit(-1) |
|
|
1105 | 1117 | |
|
|
1106 | 1118 | |
|
|
1107 | 1119 | self.fileIndex = -1 |
|
|
1108 | 1120 | self.pathList = pathList |
|
|
1109 | 1121 | self.filenameList = filenameList |
|
|
1110 | 1122 | file_name = os.path.basename(filenameList[-1]) |
|
|
1111 | 1123 | basename, ext = os.path.splitext(file_name) |
|
|
1112 | 1124 | last_set = int(basename[-3:]) |
|
|
1113 | 1125 | |
|
|
1114 | 1126 | self.online = online |
|
|
1115 | 1127 | self.delay = delay |
|
|
1116 | 1128 | ext = ext.lower() |
|
|
1117 | 1129 | self.ext = ext |
|
|
1118 | 1130 | self.getByBlock = getblock |
|
|
1119 | 1131 | self.nTxs = int(nTxs) |
|
|
1120 | 1132 | |
|
|
1121 | 1133 | if not(self.setNextFile()): |
|
|
1122 | 1134 | if (startDate!=None) and (endDate!=None): |
|
|
1123 | 1135 | print "[Reading] No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
1124 | 1136 | elif startDate != None: |
|
|
1125 | 1137 | print "[Reading] No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|
1126 | 1138 | else: |
|
|
1127 | 1139 | print "[Reading] No files" |
|
|
1128 | 1140 | |
|
|
1129 | 1141 | sys.exit(-1) |
|
|
1130 | 1142 | |
|
|
1131 |
|
|
|
|
1143 | self.getBasicHeader() | |
|
|
1144 | ||
|
|
1132 | 1145 | if last_set != None: |
|
|
1133 | 1146 | self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
|
1134 | 1147 | return |
|
|
1135 | 1148 | |
|
|
1136 | 1149 | def getBasicHeader(self): |
|
|
1137 | 1150 | |
|
|
1138 | 1151 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1139 | 1152 | |
|
|
1140 | 1153 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
1141 | 1154 | |
|
|
1142 | 1155 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1143 | 1156 | |
|
|
1144 | 1157 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1145 | 1158 | |
|
|
1146 | 1159 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1147 | 1160 | |
|
|
1148 | 1161 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1149 | 1162 | |
|
|
1150 | 1163 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
|
1151 | 1164 | |
|
|
1152 | 1165 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
1153 | 1166 | |
|
|
1154 | 1167 | |
|
|
1155 | 1168 | def getFirstHeader(self): |
|
|
1156 | 1169 | |
|
|
1157 | 1170 | raise ValueError, "This method has not been implemented" |
|
|
1158 | 1171 | |
|
|
1159 | 1172 | def getData(self): |
|
|
1160 | 1173 | |
|
|
1161 | 1174 | raise ValueError, "This method has not been implemented" |
|
|
1162 | 1175 | |
|
|
1163 | 1176 | def hasNotDataInBuffer(self): |
|
|
1164 | 1177 | |
|
|
1165 | 1178 | raise ValueError, "This method has not been implemented" |
|
|
1166 | 1179 | |
|
|
1167 | 1180 | def readBlock(self): |
|
|
1168 | 1181 | |
|
|
1169 | 1182 | raise ValueError, "This method has not been implemented" |
|
|
1170 | 1183 | |
|
|
1171 | 1184 | def isEndProcess(self): |
|
|
1172 | 1185 | |
|
|
1173 | 1186 | return self.flagNoMoreFiles |
|
|
1174 | 1187 | |
|
|
1175 | 1188 | def printReadBlocks(self): |
|
|
1176 | 1189 | |
|
|
1177 | 1190 | print "[Reading] Number of read blocks per file %04d" %self.nReadBlocks |
|
|
1178 | 1191 | |
|
|
1179 | 1192 | def printTotalBlocks(self): |
|
|
1180 | 1193 | |
|
|
1181 | 1194 | print "[Reading] Number of read blocks %04d" %self.nTotalBlocks |
|
|
1182 | 1195 | |
|
|
1183 | 1196 | def printNumberOfBlock(self): |
|
|
1184 | 1197 | |
|
|
1185 | 1198 | if self.flagIsNewBlock: |
|
|
1186 |
print "[Reading] Block No. % |
|
|
|
1199 | print "[Reading] Block No. %d/%d -> %s" %(self.basicHeaderObj.dataBlock+1, | |
|
|
1200 | self.processingHeaderObj.dataBlocksPerFile, | |
|
|
1201 | self.dataOut.datatime.ctime()) | |
|
|
1202 | ||
|
|
1187 | 1203 | self.dataOut.blocknow = self.basicHeaderObj.dataBlock |
|
|
1188 | 1204 | |
|
|
1189 | 1205 | def printInfo(self): |
|
|
1190 | 1206 | |
|
|
1191 | 1207 | if self.__printInfo == False: |
|
|
1192 | 1208 | return |
|
|
1193 | 1209 | |
|
|
1194 | 1210 | self.basicHeaderObj.printInfo() |
|
|
1195 | 1211 | self.systemHeaderObj.printInfo() |
|
|
1196 | 1212 | self.radarControllerHeaderObj.printInfo() |
|
|
1197 | 1213 | self.processingHeaderObj.printInfo() |
|
|
1198 | 1214 | |
|
|
1199 | 1215 | self.__printInfo = False |
|
|
1200 | 1216 | |
|
|
1201 | 1217 | |
|
|
1202 | 1218 | def run(self, **kwargs): |
|
|
1203 | 1219 | |
|
|
1204 | 1220 | if not(self.isConfig): |
|
|
1205 | 1221 | |
|
|
1206 | 1222 | # self.dataOut = dataOut |
|
|
1207 | 1223 | self.setup(**kwargs) |
|
|
1208 | 1224 | self.isConfig = True |
|
|
1209 | 1225 | |
|
|
1210 | 1226 | self.getData() |
|
|
1211 | 1227 | |
|
|
1212 | 1228 | class JRODataWriter(JRODataIO): |
|
|
1213 | 1229 | |
|
|
1214 | 1230 | """ |
|
|
1215 | 1231 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1216 | 1232 | de los datos siempre se realiza por bloques. |
|
|
1217 | 1233 | """ |
|
|
1218 | 1234 | |
|
|
1219 | 1235 | blockIndex = 0 |
|
|
1220 | 1236 | |
|
|
1221 | 1237 | path = None |
|
|
1222 | 1238 | |
|
|
1223 | 1239 | setFile = None |
|
|
1224 | 1240 | |
|
|
1225 | 1241 | profilesPerBlock = None |
|
|
1226 | 1242 | |
|
|
1227 | 1243 | blocksPerFile = None |
|
|
1228 | 1244 | |
|
|
1229 | 1245 | nWriteBlocks = 0 |
|
|
1230 | 1246 | |
|
|
1231 | 1247 | def __init__(self, dataOut=None): |
|
|
1232 | 1248 | raise ValueError, "Not implemented" |
|
|
1233 | 1249 | |
|
|
1234 | 1250 | |
|
|
1235 | 1251 | def hasAllDataInBuffer(self): |
|
|
1236 | 1252 | raise ValueError, "Not implemented" |
|
|
1237 | 1253 | |
|
|
1238 | 1254 | |
|
|
1239 | 1255 | def setBlockDimension(self): |
|
|
1240 | 1256 | raise ValueError, "Not implemented" |
|
|
1241 | 1257 | |
|
|
1242 | 1258 | |
|
|
1243 | 1259 | def writeBlock(self): |
|
|
1244 | 1260 | raise ValueError, "No implemented" |
|
|
1245 | 1261 | |
|
|
1246 | 1262 | |
|
|
1247 | 1263 | def putData(self): |
|
|
1248 | 1264 | raise ValueError, "No implemented" |
|
|
1249 | 1265 | |
|
|
1250 | 1266 | |
|
|
1267 | def getProcessFlags(self): | |
|
|
1268 | ||
|
|
1269 | processFlags = 0 | |
|
|
1270 | ||
|
|
1271 | dtype_index = get_dtype_index(self.dtype) | |
|
|
1272 | procflag_dtype = get_procflag_dtype(dtype_index) | |
|
|
1273 | ||
|
|
1274 | processFlags += procflag_dtype | |
|
|
1275 | ||
|
|
1276 | if self.dataOut.flagDecodeData: | |
|
|
1277 | processFlags += PROCFLAG.DECODE_DATA | |
|
|
1278 | ||
|
|
1279 | if self.dataOut.flagDeflipData: | |
|
|
1280 | processFlags += PROCFLAG.DEFLIP_DATA | |
|
|
1281 | ||
|
|
1282 | if self.dataOut.code is not None: | |
|
|
1283 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE | |
|
|
1284 | ||
|
|
1285 | if self.dataOut.nCohInt > 1: | |
|
|
1286 | processFlags += PROCFLAG.COHERENT_INTEGRATION | |
|
|
1287 | ||
|
|
1288 | if self.dataOut.type == "Spectra": | |
|
|
1289 | if self.dataOut.nIncohInt > 1: | |
|
|
1290 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION | |
|
|
1291 | ||
|
|
1292 | if self.dataOut.data_dc is not None: | |
|
|
1293 | processFlags += PROCFLAG.SAVE_CHANNELS_DC | |
|
|
1294 | ||
|
|
1295 | return processFlags | |
|
|
1296 | ||
|
|
1251 | 1297 | def setBasicHeader(self): |
|
|
1252 | 1298 | |
|
|
1253 | 1299 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
|
1254 | 1300 | self.basicHeaderObj.version = self.versionFile |
|
|
1255 | 1301 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1256 | 1302 | |
|
|
1257 | 1303 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1258 | 1304 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
|
1259 | 1305 | |
|
|
1260 | 1306 | self.basicHeaderObj.utc = utc |
|
|
1261 | 1307 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1262 | 1308 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1263 | 1309 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1264 | 1310 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1265 | 1311 | |
|
|
1266 | 1312 | def setFirstHeader(self): |
|
|
1267 | 1313 | """ |
|
|
1268 | 1314 | Obtiene una copia del First Header |
|
|
1269 | 1315 | |
|
|
1270 | 1316 | Affected: |
|
|
1271 | 1317 | |
|
|
1272 | 1318 | self.basicHeaderObj |
|
|
1273 | 1319 | self.systemHeaderObj |
|
|
1274 | 1320 | self.radarControllerHeaderObj |
|
|
1275 | 1321 | self.processingHeaderObj self. |
|
|
1276 | 1322 | |
|
|
1277 | 1323 | Return: |
|
|
1278 | 1324 | None |
|
|
1279 | 1325 | """ |
|
|
1280 | 1326 | |
|
|
1281 | 1327 | raise ValueError, "No implemented" |
|
|
1282 | 1328 | |
|
|
1283 | 1329 | def __writeFirstHeader(self): |
|
|
1284 | 1330 | """ |
|
|
1285 | 1331 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1286 | 1332 | |
|
|
1287 | 1333 | Affected: |
|
|
1288 | 1334 | __dataType |
|
|
1289 | 1335 | |
|
|
1290 | 1336 | Return: |
|
|
1291 | 1337 | None |
|
|
1292 | 1338 | """ |
|
|
1293 | 1339 | |
|
|
1294 | 1340 | # CALCULAR PARAMETROS |
|
|
1295 | 1341 | |
|
|
1296 | 1342 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1297 | 1343 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1298 | 1344 | |
|
|
1299 | 1345 | self.basicHeaderObj.write(self.fp) |
|
|
1300 | 1346 | self.systemHeaderObj.write(self.fp) |
|
|
1301 | 1347 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1302 | 1348 | self.processingHeaderObj.write(self.fp) |
|
|
1303 | 1349 | |
|
|
1304 | self.dtype = self.dataOut.dtype | |
|
|
1350 | ||
|
|
1305 | 1351 | |
|
|
1306 | 1352 | def __setNewBlock(self): |
|
|
1307 | 1353 | """ |
|
|
1308 | 1354 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1309 | 1355 | |
|
|
1310 | 1356 | Return: |
|
|
1311 | 1357 | 0 : si no pudo escribir nada |
|
|
1312 | 1358 | 1 : Si escribio el Basic el First Header |
|
|
1313 | 1359 | """ |
|
|
1314 | 1360 | if self.fp == None: |
|
|
1315 | 1361 | self.setNextFile() |
|
|
1316 | 1362 | |
|
|
1317 | 1363 | if self.flagIsNewFile: |
|
|
1318 | 1364 | return 1 |
|
|
1319 | 1365 | |
|
|
1320 | 1366 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1321 | 1367 | self.basicHeaderObj.write(self.fp) |
|
|
1322 | 1368 | return 1 |
|
|
1323 | 1369 | |
|
|
1324 | 1370 | if not( self.setNextFile() ): |
|
|
1325 | 1371 | return 0 |
|
|
1326 | 1372 | |
|
|
1327 | 1373 | return 1 |
|
|
1328 | 1374 | |
|
|
1329 | 1375 | |
|
|
1330 | 1376 | def writeNextBlock(self): |
|
|
1331 | 1377 | """ |
|
|
1332 | 1378 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1333 | 1379 | |
|
|
1334 | 1380 | Return: |
|
|
1335 | 1381 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1336 | 1382 | 1 : Si no pudo escribir el bloque de datos |
|
|
1337 | 1383 | """ |
|
|
1338 | 1384 | if not( self.__setNewBlock() ): |
|
|
1339 | 1385 | return 0 |
|
|
1340 | 1386 | |
|
|
1341 | 1387 | self.writeBlock() |
|
|
1342 | ||
|
|
1388 | ||
|
|
1389 | print "[Writing] Block No. %d/%d" %(self.blockIndex, self.processingHeaderObj.dataBlocksPerFile) | |
|
|
1390 | ||
|
|
1343 | 1391 | return 1 |
|
|
1344 | 1392 | |
|
|
1345 | 1393 | def setNextFile(self): |
|
|
1346 | 1394 | """ |
|
|
1347 | 1395 | Determina el siguiente file que sera escrito |
|
|
1348 | 1396 | |
|
|
1349 | 1397 | Affected: |
|
|
1350 | 1398 | self.filename |
|
|
1351 | 1399 | self.subfolder |
|
|
1352 | 1400 | self.fp |
|
|
1353 | 1401 | self.setFile |
|
|
1354 | 1402 | self.flagIsNewFile |
|
|
1355 | 1403 | |
|
|
1356 | 1404 | Return: |
|
|
1357 | 1405 | 0 : Si el archivo no puede ser escrito |
|
|
1358 | 1406 | 1 : Si el archivo esta listo para ser escrito |
|
|
1359 | 1407 | """ |
|
|
1360 | 1408 | ext = self.ext |
|
|
1361 | 1409 | path = self.path |
|
|
1362 | 1410 | |
|
|
1363 | 1411 | if self.fp != None: |
|
|
1364 | 1412 | self.fp.close() |
|
|
1365 | 1413 | |
|
|
1366 | 1414 | timeTuple = time.localtime( self.dataOut.utctime) |
|
|
1367 | 1415 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
1368 | 1416 | |
|
|
1369 | 1417 | fullpath = os.path.join( path, subfolder ) |
|
|
1370 | 1418 | if not( os.path.exists(fullpath) ): |
|
|
1371 | 1419 | os.mkdir(fullpath) |
|
|
1372 | 1420 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
1373 | 1421 | else: |
|
|
1374 | 1422 | filesList = os.listdir( fullpath ) |
|
|
1375 | 1423 | if len( filesList ) > 0: |
|
|
1376 | 1424 | filesList = sorted( filesList, key=str.lower ) |
|
|
1377 | 1425 | filen = filesList[-1] |
|
|
1378 | 1426 | # el filename debera tener el siguiente formato |
|
|
1379 | 1427 | # 0 1234 567 89A BCDE (hex) |
|
|
1380 | 1428 | # x YYYY DDD SSS .ext |
|
|
1381 | 1429 | if isNumber( filen[8:11] ): |
|
|
1382 | 1430 | self.setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
1383 | 1431 | else: |
|
|
1384 | 1432 | self.setFile = -1 |
|
|
1385 | 1433 | else: |
|
|
1386 | 1434 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
1387 | 1435 | |
|
|
1388 | 1436 | setFile = self.setFile |
|
|
1389 | 1437 | setFile += 1 |
|
|
1390 | 1438 | |
|
|
1391 | 1439 | filen = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, |
|
|
1392 | 1440 | timeTuple.tm_year, |
|
|
1393 | 1441 | timeTuple.tm_yday, |
|
|
1394 | 1442 | setFile, |
|
|
1395 | 1443 | ext ) |
|
|
1396 | 1444 | |
|
|
1397 | 1445 | filename = os.path.join( path, subfolder, filen ) |
|
|
1398 | 1446 | |
|
|
1399 | 1447 | fp = open( filename,'wb' ) |
|
|
1400 | 1448 | |
|
|
1401 | 1449 | self.blockIndex = 0 |
|
|
1402 | 1450 | |
|
|
1403 | 1451 | #guardando atributos |
|
|
1404 | 1452 | self.filename = filename |
|
|
1405 | 1453 | self.subfolder = subfolder |
|
|
1406 | 1454 | self.fp = fp |
|
|
1407 | 1455 | self.setFile = setFile |
|
|
1408 | 1456 | self.flagIsNewFile = 1 |
|
|
1409 | 1457 | |
|
|
1410 | 1458 | self.setFirstHeader() |
|
|
1411 | 1459 | |
|
|
1412 | print '[Writing] file: %s'%self.filename | |
|
|
1460 | print '[Writing] Opening file: %s'%self.filename | |
|
|
1413 | 1461 | |
|
|
1414 | 1462 | self.__writeFirstHeader() |
|
|
1415 | 1463 | |
|
|
1416 | 1464 | return 1 |
|
|
1417 | 1465 | |
|
|
1418 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=0, ext=None): | |
|
|
1466 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=0, ext=None, datatype=2): | |
|
|
1419 | 1467 | """ |
|
|
1420 | 1468 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1421 | 1469 | |
|
|
1422 | 1470 | Inputs: |
|
|
1423 | path : el path destino en el cual se escribiran los files a crear | |
|
|
1424 | format : formato en el cual sera salvado un file | |
|
|
1425 |
set |
|
|
|
1471 | path : directory where data will be saved | |
|
|
1472 | profilesPerBlock : number of profiles per block | |
|
|
1473 | set : file set | |
|
|
1474 | datatype : An integer number that defines data type: | |
|
|
1475 | 0 : int8 (1 byte) | |
|
|
1476 | 1 : int16 (2 bytes) | |
|
|
1477 | 2 : int32 (4 bytes) | |
|
|
1478 | 3 : int64 (8 bytes) | |
|
|
1479 | 4 : float (4 bytes) | |
|
|
1480 | 5 : double (8 bytes) | |
|
|
1426 | 1481 | |
|
|
1427 | 1482 | Return: |
|
|
1428 | 1483 | 0 : Si no realizo un buen seteo |
|
|
1429 | 1484 | 1 : Si realizo un buen seteo |
|
|
1430 | 1485 | """ |
|
|
1431 | 1486 | |
|
|
1432 | 1487 | if ext == None: |
|
|
1433 | 1488 | ext = self.ext |
|
|
1434 | 1489 | |
|
|
1435 | 1490 | ext = ext.lower() |
|
|
1436 | 1491 | |
|
|
1437 | 1492 | self.ext = ext |
|
|
1438 | 1493 | |
|
|
1439 | 1494 | self.path = path |
|
|
1440 | 1495 | |
|
|
1441 | 1496 | self.setFile = set - 1 |
|
|
1442 | 1497 | |
|
|
1443 | 1498 | self.blocksPerFile = blocksPerFile |
|
|
1444 | 1499 | |
|
|
1445 | 1500 | self.profilesPerBlock = profilesPerBlock |
|
|
1446 | 1501 | |
|
|
1447 | 1502 | self.dataOut = dataOut |
|
|
1448 | 1503 | |
|
|
1504 | #By default | |
|
|
1505 | self.dtype = self.dataOut.dtype | |
|
|
1506 | ||
|
|
1507 | if datatype is not None: | |
|
|
1508 | self.dtype = get_numpy_dtype(datatype) | |
|
|
1509 | ||
|
|
1449 | 1510 | if not(self.setNextFile()): |
|
|
1450 | 1511 | print "[Writing] There isn't a next file" |
|
|
1451 | 1512 | return 0 |
|
|
1452 | 1513 | |
|
|
1453 | 1514 | self.setBlockDimension() |
|
|
1454 | 1515 | |
|
|
1455 | 1516 | return 1 |
|
|
1456 | 1517 | |
|
|
1457 | 1518 | def run(self, dataOut, **kwargs): |
|
|
1458 | 1519 | |
|
|
1459 | 1520 | if not(self.isConfig): |
|
|
1460 | 1521 | |
|
|
1461 | 1522 | self.setup(dataOut, **kwargs) |
|
|
1462 | 1523 | self.isConfig = True |
|
|
1463 | 1524 | |
|
|
1464 | 1525 | self.putData() |
|
|
1465 | 1526 | |
| @@ -1,764 +1,705 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import numpy |
|
|
7 | 7 | |
|
|
8 | 8 | from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
|
|
9 | 9 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
10 | 10 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
11 | 11 | from schainpy.model.data.jrodata import Spectra |
|
|
12 | 12 | |
|
|
13 | 13 | class SpectraReader(JRODataReader, ProcessingUnit): |
|
|
14 | 14 | """ |
|
|
15 | 15 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura |
|
|
16 | 16 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) |
|
|
17 | 17 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. |
|
|
18 | 18 | |
|
|
19 | 19 | paresCanalesIguales * alturas * perfiles (Self Spectra) |
|
|
20 | 20 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) |
|
|
21 | 21 | canales * alturas (DC Channels) |
|
|
22 | 22 | |
|
|
23 | 23 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
24 | 24 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la |
|
|
25 | 25 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de |
|
|
26 | 26 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
27 | 27 | |
|
|
28 | 28 | Example: |
|
|
29 | 29 | dpath = "/home/myuser/data" |
|
|
30 | 30 | |
|
|
31 | 31 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
32 | 32 | |
|
|
33 | 33 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
34 | 34 | |
|
|
35 | 35 | readerObj = SpectraReader() |
|
|
36 | 36 | |
|
|
37 | 37 | readerObj.setup(dpath, startTime, endTime) |
|
|
38 | 38 | |
|
|
39 | 39 | while(True): |
|
|
40 | 40 | |
|
|
41 | 41 | readerObj.getData() |
|
|
42 | 42 | |
|
|
43 | 43 | print readerObj.data_spc |
|
|
44 | 44 | |
|
|
45 | 45 | print readerObj.data_cspc |
|
|
46 | 46 | |
|
|
47 | 47 | print readerObj.data_dc |
|
|
48 | 48 | |
|
|
49 | 49 | if readerObj.flagNoMoreFiles: |
|
|
50 | 50 | break |
|
|
51 | 51 | |
|
|
52 | 52 | """ |
|
|
53 | 53 | |
|
|
54 | 54 | pts2read_SelfSpectra = 0 |
|
|
55 | 55 | |
|
|
56 | 56 | pts2read_CrossSpectra = 0 |
|
|
57 | 57 | |
|
|
58 | 58 | pts2read_DCchannels = 0 |
|
|
59 | 59 | |
|
|
60 | 60 | ext = ".pdata" |
|
|
61 | 61 | |
|
|
62 | 62 | optchar = "P" |
|
|
63 | 63 | |
|
|
64 | 64 | dataOut = None |
|
|
65 | 65 | |
|
|
66 | 66 | nRdChannels = None |
|
|
67 | 67 | |
|
|
68 | 68 | nRdPairs = None |
|
|
69 | 69 | |
|
|
70 | 70 | rdPairList = [] |
|
|
71 | 71 | |
|
|
72 | 72 | def __init__(self): |
|
|
73 | 73 | """ |
|
|
74 | 74 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. |
|
|
75 | 75 | |
|
|
76 | 76 | Inputs: |
|
|
77 | 77 | dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para |
|
|
78 | 78 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
79 | 79 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
80 | 80 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
81 | 81 | bloque de datos. |
|
|
82 | 82 | Si este parametro no es pasado se creara uno internamente. |
|
|
83 | 83 | |
|
|
84 | 84 | Affected: |
|
|
85 | 85 | self.dataOut |
|
|
86 | 86 | |
|
|
87 | 87 | Return : None |
|
|
88 | 88 | """ |
|
|
89 | 89 | |
|
|
90 | 90 | #Eliminar de la base la herencia |
|
|
91 | 91 | ProcessingUnit.__init__(self) |
|
|
92 | 92 | |
|
|
93 | 93 | # self.isConfig = False |
|
|
94 | 94 | |
|
|
95 | 95 | self.pts2read_SelfSpectra = 0 |
|
|
96 | 96 | |
|
|
97 | 97 | self.pts2read_CrossSpectra = 0 |
|
|
98 | 98 | |
|
|
99 | 99 | self.pts2read_DCchannels = 0 |
|
|
100 | 100 | |
|
|
101 | 101 | self.datablock = None |
|
|
102 | 102 | |
|
|
103 | 103 | self.utc = None |
|
|
104 | 104 | |
|
|
105 | 105 | self.ext = ".pdata" |
|
|
106 | 106 | |
|
|
107 | 107 | self.optchar = "P" |
|
|
108 | 108 | |
|
|
109 | 109 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
110 | 110 | |
|
|
111 | 111 | self.systemHeaderObj = SystemHeader() |
|
|
112 | 112 | |
|
|
113 | 113 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
114 | 114 | |
|
|
115 | 115 | self.processingHeaderObj = ProcessingHeader() |
|
|
116 | 116 | |
|
|
117 | 117 | self.online = 0 |
|
|
118 | 118 | |
|
|
119 | 119 | self.fp = None |
|
|
120 | 120 | |
|
|
121 | 121 | self.idFile = None |
|
|
122 | 122 | |
|
|
123 | 123 | self.dtype = None |
|
|
124 | 124 | |
|
|
125 | 125 | self.fileSizeByHeader = None |
|
|
126 | 126 | |
|
|
127 | 127 | self.filenameList = [] |
|
|
128 | 128 | |
|
|
129 | 129 | self.filename = None |
|
|
130 | 130 | |
|
|
131 | 131 | self.fileSize = None |
|
|
132 | 132 | |
|
|
133 | 133 | self.firstHeaderSize = 0 |
|
|
134 | 134 | |
|
|
135 | 135 | self.basicHeaderSize = 24 |
|
|
136 | 136 | |
|
|
137 | 137 | self.pathList = [] |
|
|
138 | 138 | |
|
|
139 | 139 | self.lastUTTime = 0 |
|
|
140 | 140 | |
|
|
141 | 141 | self.maxTimeStep = 30 |
|
|
142 | 142 | |
|
|
143 | 143 | self.flagNoMoreFiles = 0 |
|
|
144 | 144 | |
|
|
145 | 145 | self.set = 0 |
|
|
146 | 146 | |
|
|
147 | 147 | self.path = None |
|
|
148 | 148 | |
|
|
149 | 149 | self.delay = 60 #seconds |
|
|
150 | 150 | |
|
|
151 | 151 | self.nTries = 3 #quantity tries |
|
|
152 | 152 | |
|
|
153 | 153 | self.nFiles = 3 #number of files for searching |
|
|
154 | 154 | |
|
|
155 | 155 | self.nReadBlocks = 0 |
|
|
156 | 156 | |
|
|
157 | 157 | self.flagIsNewFile = 1 |
|
|
158 | 158 | |
|
|
159 | 159 | self.__isFirstTimeOnline = 1 |
|
|
160 | 160 | |
|
|
161 | 161 | # self.ippSeconds = 0 |
|
|
162 | 162 | |
|
|
163 | 163 | self.flagDiscontinuousBlock = 0 |
|
|
164 | 164 | |
|
|
165 | 165 | self.flagIsNewBlock = 0 |
|
|
166 | 166 | |
|
|
167 | 167 | self.nTotalBlocks = 0 |
|
|
168 | 168 | |
|
|
169 | 169 | self.blocksize = 0 |
|
|
170 | 170 | |
|
|
171 | 171 | self.dataOut = self.createObjByDefault() |
|
|
172 | 172 | |
|
|
173 | 173 | self.profileIndex = 1 #Always |
|
|
174 | 174 | |
|
|
175 | 175 | |
|
|
176 | 176 | def createObjByDefault(self): |
|
|
177 | 177 | |
|
|
178 | 178 | dataObj = Spectra() |
|
|
179 | 179 | |
|
|
180 | 180 | return dataObj |
|
|
181 | 181 | |
|
|
182 | 182 | def __hasNotDataInBuffer(self): |
|
|
183 | 183 | return 1 |
|
|
184 | 184 | |
|
|
185 | 185 | |
|
|
186 | 186 | def getBlockDimension(self): |
|
|
187 | 187 | """ |
|
|
188 | 188 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
189 | 189 | |
|
|
190 | 190 | Affected: |
|
|
191 | 191 | self.nRdChannels |
|
|
192 | 192 | self.nRdPairs |
|
|
193 | 193 | self.pts2read_SelfSpectra |
|
|
194 | 194 | self.pts2read_CrossSpectra |
|
|
195 | 195 | self.pts2read_DCchannels |
|
|
196 | 196 | self.blocksize |
|
|
197 | 197 | self.dataOut.nChannels |
|
|
198 | 198 | self.dataOut.nPairs |
|
|
199 | 199 | |
|
|
200 | 200 | Return: |
|
|
201 | 201 | None |
|
|
202 | 202 | """ |
|
|
203 | 203 | self.nRdChannels = 0 |
|
|
204 | 204 | self.nRdPairs = 0 |
|
|
205 | 205 | self.rdPairList = [] |
|
|
206 | 206 | |
|
|
207 | 207 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): |
|
|
208 | 208 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: |
|
|
209 | 209 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales |
|
|
210 | 210 | else: |
|
|
211 | 211 | self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes |
|
|
212 | 212 | self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1])) |
|
|
213 | 213 | |
|
|
214 | 214 | pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock |
|
|
215 | 215 | |
|
|
216 | 216 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) |
|
|
217 | 217 | self.blocksize = self.pts2read_SelfSpectra |
|
|
218 | 218 | |
|
|
219 | 219 | if self.processingHeaderObj.flag_cspc: |
|
|
220 | 220 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) |
|
|
221 | 221 | self.blocksize += self.pts2read_CrossSpectra |
|
|
222 | 222 | |
|
|
223 | 223 | if self.processingHeaderObj.flag_dc: |
|
|
224 | 224 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) |
|
|
225 | 225 | self.blocksize += self.pts2read_DCchannels |
|
|
226 | 226 | |
|
|
227 | 227 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels |
|
|
228 | 228 | |
|
|
229 | 229 | |
|
|
230 | 230 | def readBlock(self): |
|
|
231 | 231 | """ |
|
|
232 | 232 | Lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
233 | 233 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
234 | 234 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
235 | 235 | es seteado a 0 |
|
|
236 | 236 | |
|
|
237 | 237 | Return: None |
|
|
238 | 238 | |
|
|
239 | 239 | Variables afectadas: |
|
|
240 | 240 | |
|
|
241 | 241 | self.flagIsNewFile |
|
|
242 | 242 | self.flagIsNewBlock |
|
|
243 | 243 | self.nTotalBlocks |
|
|
244 | 244 | self.data_spc |
|
|
245 | 245 | self.data_cspc |
|
|
246 | 246 | self.data_dc |
|
|
247 | 247 | |
|
|
248 | 248 | Exceptions: |
|
|
249 | 249 | Si un bloque leido no es un bloque valido |
|
|
250 | 250 | """ |
|
|
251 | 251 | blockOk_flag = False |
|
|
252 | 252 | fpointer = self.fp.tell() |
|
|
253 | 253 | |
|
|
254 | 254 | spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra ) |
|
|
255 | 255 | spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|
256 | 256 | |
|
|
257 | 257 | if self.processingHeaderObj.flag_cspc: |
|
|
258 | 258 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) |
|
|
259 | 259 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|
260 | 260 | |
|
|
261 | 261 | if self.processingHeaderObj.flag_dc: |
|
|
262 | 262 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) |
|
|
263 | 263 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D |
|
|
264 | 264 | |
|
|
265 | 265 | |
|
|
266 | 266 | if not(self.processingHeaderObj.shif_fft): |
|
|
267 | 267 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
268 | 268 | shift = int(self.processingHeaderObj.profilesPerBlock/2) |
|
|
269 | 269 | spc = numpy.roll( spc, shift , axis=2 ) |
|
|
270 | 270 | |
|
|
271 | 271 | if self.processingHeaderObj.flag_cspc: |
|
|
272 | 272 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
273 | 273 | cspc = numpy.roll( cspc, shift, axis=2 ) |
|
|
274 | 274 | |
|
|
275 | 275 | # self.processingHeaderObj.shif_fft = True |
|
|
276 | ||
|
|
276 | ||
|
|
277 | #Dimensions : nChannels, nProfiles, nSamples | |
|
|
277 | 278 | spc = numpy.transpose( spc, (0,2,1) ) |
|
|
278 | 279 | self.data_spc = spc |
|
|
279 | 280 | |
|
|
280 | 281 | if self.processingHeaderObj.flag_cspc: |
|
|
281 | 282 | cspc = numpy.transpose( cspc, (0,2,1) ) |
|
|
282 | 283 | self.data_cspc = cspc['real'] + cspc['imag']*1j |
|
|
283 | 284 | else: |
|
|
284 | 285 | self.data_cspc = None |
|
|
285 | 286 | |
|
|
286 | 287 | if self.processingHeaderObj.flag_dc: |
|
|
287 | 288 | self.data_dc = dc['real'] + dc['imag']*1j |
|
|
288 | 289 | else: |
|
|
289 | 290 | self.data_dc = None |
|
|
290 | 291 | |
|
|
291 | 292 | self.flagIsNewFile = 0 |
|
|
292 | 293 | self.flagIsNewBlock = 1 |
|
|
293 | 294 | |
|
|
294 | 295 | self.nTotalBlocks += 1 |
|
|
295 | 296 | self.nReadBlocks += 1 |
|
|
296 | 297 | |
|
|
297 | 298 | return 1 |
|
|
298 | 299 | |
|
|
299 | 300 | def getFirstHeader(self): |
|
|
300 | 301 | |
|
|
302 | self.getBasicHeader() | |
|
|
303 | ||
|
|
301 | 304 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
302 | 305 | |
|
|
303 | 306 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
304 | 307 | |
|
|
305 | 308 | # self.dataOut.ippSeconds = self.ippSeconds |
|
|
306 | 309 | |
|
|
307 | 310 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.processingHeaderObj.profilesPerBlock |
|
|
308 | 311 | |
|
|
309 | 312 | self.dataOut.dtype = self.dtype |
|
|
310 | 313 | |
|
|
311 | 314 | # self.dataOut.nPairs = self.nPairs |
|
|
312 | 315 | |
|
|
313 | 316 | self.dataOut.pairsList = self.rdPairList |
|
|
314 | 317 | |
|
|
315 | 318 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
316 | 319 | |
|
|
317 | 320 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock |
|
|
318 | 321 | |
|
|
319 | 322 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
320 | 323 | |
|
|
321 | 324 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt |
|
|
322 | 325 | |
|
|
323 | 326 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|
324 | 327 | |
|
|
325 | 328 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|
326 | 329 | |
|
|
327 | 330 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
328 | 331 | |
|
|
329 | 332 | self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft |
|
|
330 | 333 | |
|
|
331 | 334 | self.dataOut.flagDecodeData = False #asumo q la data no esta decodificada |
|
|
332 | 335 | |
|
|
333 | 336 | self.dataOut.flagDeflipData = False #asumo q la data esta sin flip |
|
|
334 | 337 | |
|
|
335 | 338 | if self.radarControllerHeaderObj.code is not None: |
|
|
336 | 339 | |
|
|
337 | 340 | # self.dataOut.nCode = self.radarControllerHeaderObj.nCode |
|
|
338 | 341 | # |
|
|
339 | 342 | # self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud |
|
|
340 | 343 | # |
|
|
341 | 344 | # self.dataOut.code = self.radarControllerHeaderObj.code |
|
|
342 | 345 | |
|
|
343 | 346 | self.dataOut.flagDecodeData = True |
|
|
344 | 347 | |
|
|
345 | 348 | def getData(self): |
|
|
346 | 349 | """ |
|
|
347 | 350 | First method to execute before "RUN" is called. |
|
|
348 | 351 | |
|
|
349 | 352 | Copia el buffer de lectura a la clase "Spectra", |
|
|
350 | 353 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|
351 | 354 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|
352 | 355 | |
|
|
353 | 356 | Return: |
|
|
354 | 357 | 0 : Si no hay mas archivos disponibles |
|
|
355 | 358 | 1 : Si hizo una buena copia del buffer |
|
|
356 | 359 | |
|
|
357 | 360 | Affected: |
|
|
358 | 361 | self.dataOut |
|
|
359 | 362 | |
|
|
360 | 363 | self.flagDiscontinuousBlock |
|
|
361 | 364 | self.flagIsNewBlock |
|
|
362 | 365 | """ |
|
|
363 | 366 | |
|
|
364 | 367 | if self.flagNoMoreFiles: |
|
|
365 | 368 | self.dataOut.flagNoData = True |
|
|
366 | 369 | print 'Process finished' |
|
|
367 | 370 | return 0 |
|
|
368 | 371 | |
|
|
369 | 372 | self.flagDiscontinuousBlock = 0 |
|
|
370 | 373 | self.flagIsNewBlock = 0 |
|
|
371 | 374 | |
|
|
372 | 375 | if self.__hasNotDataInBuffer(): |
|
|
373 | 376 | |
|
|
374 | 377 | if not( self.readNextBlock() ): |
|
|
375 | 378 | self.dataOut.flagNoData = True |
|
|
376 | 379 | return 0 |
|
|
377 | 380 | |
|
|
378 | 381 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
|
379 | 382 | |
|
|
380 | 383 | if self.data_dc is None: |
|
|
381 | 384 | self.dataOut.flagNoData = True |
|
|
382 | 385 | return 0 |
|
|
383 | 386 | |
|
|
384 | 387 | self.getBasicHeader() |
|
|
385 | 388 | |
|
|
386 | 389 | self.getFirstHeader() |
|
|
387 | 390 | |
|
|
388 | 391 | self.dataOut.data_spc = self.data_spc |
|
|
389 | 392 | |
|
|
390 | 393 | self.dataOut.data_cspc = self.data_cspc |
|
|
391 | 394 | |
|
|
392 | 395 | self.dataOut.data_dc = self.data_dc |
|
|
393 | 396 | |
|
|
394 | 397 | self.dataOut.flagNoData = False |
|
|
395 | 398 | |
|
|
396 | 399 | self.dataOut.realtime = self.online |
|
|
397 | 400 | |
|
|
398 | 401 | return self.dataOut.data_spc |
|
|
399 | 402 | |
|
|
400 | 403 | class SpectraWriter(JRODataWriter, Operation): |
|
|
401 | 404 | |
|
|
402 | 405 | """ |
|
|
403 | 406 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura |
|
|
404 | 407 | de los datos siempre se realiza por bloques. |
|
|
405 | 408 | """ |
|
|
406 | 409 | |
|
|
407 | 410 | ext = ".pdata" |
|
|
408 | 411 | |
|
|
409 | 412 | optchar = "P" |
|
|
410 | 413 | |
|
|
411 | 414 | shape_spc_Buffer = None |
|
|
412 | 415 | |
|
|
413 | 416 | shape_cspc_Buffer = None |
|
|
414 | 417 | |
|
|
415 | 418 | shape_dc_Buffer = None |
|
|
416 | 419 | |
|
|
417 | 420 | data_spc = None |
|
|
418 | 421 | |
|
|
419 | 422 | data_cspc = None |
|
|
420 | 423 | |
|
|
421 | 424 | data_dc = None |
|
|
422 | 425 | |
|
|
423 | 426 | # dataOut = None |
|
|
424 | 427 | |
|
|
425 | 428 | def __init__(self): |
|
|
426 | 429 | """ |
|
|
427 | 430 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. |
|
|
428 | 431 | |
|
|
429 | 432 | Affected: |
|
|
430 | 433 | self.dataOut |
|
|
431 | 434 | self.basicHeaderObj |
|
|
432 | 435 | self.systemHeaderObj |
|
|
433 | 436 | self.radarControllerHeaderObj |
|
|
434 | 437 | self.processingHeaderObj |
|
|
435 | 438 | |
|
|
436 | 439 | Return: None |
|
|
437 | 440 | """ |
|
|
438 | 441 | |
|
|
439 | 442 | Operation.__init__(self) |
|
|
440 | 443 | |
|
|
441 | 444 | self.isConfig = False |
|
|
442 | 445 | |
|
|
443 | 446 | self.nTotalBlocks = 0 |
|
|
444 | 447 | |
|
|
445 | 448 | self.data_spc = None |
|
|
446 | 449 | |
|
|
447 | 450 | self.data_cspc = None |
|
|
448 | 451 | |
|
|
449 | 452 | self.data_dc = None |
|
|
450 | 453 | |
|
|
451 | 454 | self.fp = None |
|
|
452 | 455 | |
|
|
453 | 456 | self.flagIsNewFile = 1 |
|
|
454 | 457 | |
|
|
455 | 458 | self.nTotalBlocks = 0 |
|
|
456 | 459 | |
|
|
457 | 460 | self.flagIsNewBlock = 0 |
|
|
458 | 461 | |
|
|
459 | 462 | self.setFile = None |
|
|
460 | 463 | |
|
|
461 | 464 | self.dtype = None |
|
|
462 | 465 | |
|
|
463 | 466 | self.path = None |
|
|
464 | 467 | |
|
|
465 | 468 | self.noMoreFiles = 0 |
|
|
466 | 469 | |
|
|
467 | 470 | self.filename = None |
|
|
468 | 471 | |
|
|
469 | 472 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
470 | 473 | |
|
|
471 | 474 | self.systemHeaderObj = SystemHeader() |
|
|
472 | 475 | |
|
|
473 | 476 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
474 | 477 | |
|
|
475 | 478 | self.processingHeaderObj = ProcessingHeader() |
|
|
476 | 479 | |
|
|
477 | 480 | |
|
|
478 | 481 | def hasAllDataInBuffer(self): |
|
|
479 | 482 | return 1 |
|
|
480 | 483 | |
|
|
481 | 484 | |
|
|
482 | 485 | def setBlockDimension(self): |
|
|
483 | 486 | """ |
|
|
484 | 487 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
485 | 488 | |
|
|
486 | 489 | Affected: |
|
|
487 | 490 | self.shape_spc_Buffer |
|
|
488 | 491 | self.shape_cspc_Buffer |
|
|
489 | 492 | self.shape_dc_Buffer |
|
|
490 | 493 | |
|
|
491 | 494 | Return: None |
|
|
492 | 495 | """ |
|
|
493 | 496 | self.shape_spc_Buffer = (self.dataOut.nChannels, |
|
|
494 | 497 | self.processingHeaderObj.nHeights, |
|
|
495 | 498 | self.processingHeaderObj.profilesPerBlock) |
|
|
496 | 499 | |
|
|
497 | 500 | self.shape_cspc_Buffer = (self.dataOut.nPairs, |
|
|
498 | 501 | self.processingHeaderObj.nHeights, |
|
|
499 | 502 | self.processingHeaderObj.profilesPerBlock) |
|
|
500 | 503 | |
|
|
501 | 504 | self.shape_dc_Buffer = (self.dataOut.nChannels, |
|
|
502 | 505 | self.processingHeaderObj.nHeights) |
|
|
503 | 506 | |
|
|
504 | 507 | |
|
|
505 | 508 | def writeBlock(self): |
|
|
506 | 509 | """ |
|
|
507 | 510 | Escribe el buffer en el file designado |
|
|
508 | 511 | |
|
|
509 | 512 | Affected: |
|
|
510 | 513 | self.data_spc |
|
|
511 | 514 | self.data_cspc |
|
|
512 | 515 | self.data_dc |
|
|
513 | 516 | self.flagIsNewFile |
|
|
514 | 517 | self.flagIsNewBlock |
|
|
515 | 518 | self.nTotalBlocks |
|
|
516 | 519 | self.nWriteBlocks |
|
|
517 | 520 | |
|
|
518 | 521 | Return: None |
|
|
519 | 522 | """ |
|
|
520 | 523 | |
|
|
521 | 524 | spc = numpy.transpose( self.data_spc, (0,2,1) ) |
|
|
522 | 525 | if not( self.processingHeaderObj.shif_fft ): |
|
|
523 | 526 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
524 | 527 | data = spc.reshape((-1)) |
|
|
525 | 528 | data = data.astype(self.dtype[0]) |
|
|
526 | 529 | data.tofile(self.fp) |
|
|
527 | 530 | |
|
|
528 | 531 | if self.data_cspc is not None: |
|
|
529 | 532 | data = numpy.zeros( self.shape_cspc_Buffer, self.dtype ) |
|
|
530 | 533 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) |
|
|
531 | 534 | if not( self.processingHeaderObj.shif_fft ): |
|
|
532 | 535 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
533 | 536 | data['real'] = cspc.real |
|
|
534 | 537 | data['imag'] = cspc.imag |
|
|
535 | 538 | data = data.reshape((-1)) |
|
|
536 | 539 | data.tofile(self.fp) |
|
|
537 | 540 | |
|
|
538 | 541 | if self.data_dc is not None: |
|
|
539 | 542 | data = numpy.zeros( self.shape_dc_Buffer, self.dtype ) |
|
|
540 | 543 | dc = self.data_dc |
|
|
541 | 544 | data['real'] = dc.real |
|
|
542 | 545 | data['imag'] = dc.imag |
|
|
543 | 546 | data = data.reshape((-1)) |
|
|
544 | 547 | data.tofile(self.fp) |
|
|
545 | 548 | |
|
|
546 | 549 | self.data_spc.fill(0) |
|
|
547 | 550 | |
|
|
548 | 551 | if self.data_dc is not None: |
|
|
549 | 552 | self.data_dc.fill(0) |
|
|
550 | 553 | |
|
|
551 | 554 | if self.data_cspc is not None: |
|
|
552 | 555 | self.data_cspc.fill(0) |
|
|
553 | 556 | |
|
|
554 | 557 | self.flagIsNewFile = 0 |
|
|
555 | 558 | self.flagIsNewBlock = 1 |
|
|
556 | 559 | self.nTotalBlocks += 1 |
|
|
557 | 560 | self.nWriteBlocks += 1 |
|
|
558 | 561 | self.blockIndex += 1 |
|
|
559 | 562 | |
|
|
560 | 563 | # print "[Writing] Block = %d04" %self.blockIndex |
|
|
561 | 564 | |
|
|
562 | 565 | def putData(self): |
|
|
563 | 566 | """ |
|
|
564 | 567 | Setea un bloque de datos y luego los escribe en un file |
|
|
565 | 568 | |
|
|
566 | 569 | Affected: |
|
|
567 | 570 | self.data_spc |
|
|
568 | 571 | self.data_cspc |
|
|
569 | 572 | self.data_dc |
|
|
570 | 573 | |
|
|
571 | 574 | Return: |
|
|
572 | 575 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
573 | 576 | 1 : Si se escribio la data de un bloque en un file |
|
|
574 | 577 | """ |
|
|
575 | 578 | |
|
|
576 | 579 | if self.dataOut.flagNoData: |
|
|
577 | 580 | return 0 |
|
|
578 | 581 | |
|
|
579 | 582 | self.flagIsNewBlock = 0 |
|
|
580 | 583 | |
|
|
581 | 584 | if self.dataOut.flagDiscontinuousBlock: |
|
|
582 | 585 | self.data_spc.fill(0) |
|
|
583 | 586 | self.data_cspc.fill(0) |
|
|
584 | 587 | self.data_dc.fill(0) |
|
|
585 | 588 | self.setNextFile() |
|
|
586 | 589 | |
|
|
587 | 590 | if self.flagIsNewFile == 0: |
|
|
588 | 591 | self.setBasicHeader() |
|
|
589 | 592 | |
|
|
590 | 593 | self.data_spc = self.dataOut.data_spc.copy() |
|
|
591 | 594 | if self.dataOut.data_cspc is not None: |
|
|
592 | 595 | self.data_cspc = self.dataOut.data_cspc.copy() |
|
|
593 | 596 | self.data_dc = self.dataOut.data_dc.copy() |
|
|
594 | 597 | |
|
|
595 | 598 | # #self.processingHeaderObj.dataBlocksPerFile) |
|
|
596 | 599 | if self.hasAllDataInBuffer(): |
|
|
597 | 600 | # self.setFirstHeader() |
|
|
598 | 601 | self.writeNextBlock() |
|
|
599 | 602 | |
|
|
600 | 603 | return 1 |
|
|
601 | 604 | |
|
|
602 | ||
|
|
603 | def __getProcessFlags(self): | |
|
|
604 | ||
|
|
605 | processFlags = 0 | |
|
|
606 | ||
|
|
607 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) | |
|
|
608 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) | |
|
|
609 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) | |
|
|
610 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) | |
|
|
611 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
|
|
612 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) | |
|
|
613 | ||
|
|
614 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] | |
|
|
615 | ||
|
|
616 | ||
|
|
617 | ||
|
|
618 | datatypeValueList = [PROCFLAG.DATATYPE_CHAR, | |
|
|
619 | PROCFLAG.DATATYPE_SHORT, | |
|
|
620 | PROCFLAG.DATATYPE_LONG, | |
|
|
621 | PROCFLAG.DATATYPE_INT64, | |
|
|
622 | PROCFLAG.DATATYPE_FLOAT, | |
|
|
623 | PROCFLAG.DATATYPE_DOUBLE] | |
|
|
624 | ||
|
|
625 | ||
|
|
626 | for index in range(len(dtypeList)): | |
|
|
627 | if self.dataOut.dtype == dtypeList[index]: | |
|
|
628 | dtypeValue = datatypeValueList[index] | |
|
|
629 | break | |
|
|
630 | ||
|
|
631 | processFlags += dtypeValue | |
|
|
632 | ||
|
|
633 | if self.dataOut.flagDecodeData: | |
|
|
634 | processFlags += PROCFLAG.DECODE_DATA | |
|
|
635 | ||
|
|
636 | if self.dataOut.flagDeflipData: | |
|
|
637 | processFlags += PROCFLAG.DEFLIP_DATA | |
|
|
638 | ||
|
|
639 | if self.dataOut.code is not None: | |
|
|
640 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE | |
|
|
641 | ||
|
|
642 | if self.dataOut.nIncohInt > 1: | |
|
|
643 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION | |
|
|
644 | ||
|
|
645 | if self.dataOut.data_dc is not None: | |
|
|
646 | processFlags += PROCFLAG.SAVE_CHANNELS_DC | |
|
|
647 | ||
|
|
648 | return processFlags | |
|
|
649 | ||
|
|
650 | ||
|
|
651 | 605 | def __getBlockSize(self): |
|
|
652 | 606 | ''' |
|
|
653 | 607 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra |
|
|
654 | 608 | ''' |
|
|
655 | 609 | |
|
|
656 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) | |
|
|
657 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) | |
|
|
658 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) | |
|
|
659 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) | |
|
|
660 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
|
|
661 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) | |
|
|
662 | ||
|
|
663 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] | |
|
|
664 | datatypeValueList = [1,2,4,8,4,8] | |
|
|
665 | for index in range(len(dtypeList)): | |
|
|
666 | if self.dataOut.dtype == dtypeList[index]: | |
|
|
667 | datatypeValue = datatypeValueList[index] | |
|
|
668 | break | |
|
|
669 | ||
|
|
610 | dtype_width = self.getDtypeWidth() | |
|
|
670 | 611 | |
|
|
671 | 612 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints |
|
|
672 | 613 | |
|
|
673 | 614 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) |
|
|
674 |
blocksize = (pts2write_SelfSpectra*d |
|
|
|
615 | blocksize = (pts2write_SelfSpectra*dtype_width) | |
|
|
675 | 616 | |
|
|
676 | 617 | if self.dataOut.data_cspc is not None: |
|
|
677 | 618 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) |
|
|
678 |
blocksize += (pts2write_CrossSpectra*d |
|
|
|
619 | blocksize += (pts2write_CrossSpectra*dtype_width*2) | |
|
|
679 | 620 | |
|
|
680 | 621 | if self.dataOut.data_dc is not None: |
|
|
681 | 622 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) |
|
|
682 |
blocksize += (pts2write_DCchannels*d |
|
|
|
623 | blocksize += (pts2write_DCchannels*dtype_width*2) | |
|
|
683 | 624 | |
|
|
684 | blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO | |
|
|
625 | # blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO | |
|
|
685 | 626 | |
|
|
686 | 627 | return blocksize |
|
|
687 | 628 | |
|
|
688 | 629 | def setFirstHeader(self): |
|
|
689 | 630 | |
|
|
690 | 631 | """ |
|
|
691 | 632 | Obtiene una copia del First Header |
|
|
692 | 633 | |
|
|
693 | 634 | Affected: |
|
|
694 | 635 | self.systemHeaderObj |
|
|
695 | 636 | self.radarControllerHeaderObj |
|
|
696 | 637 | self.dtype |
|
|
697 | 638 | |
|
|
698 | 639 | Return: |
|
|
699 | 640 | None |
|
|
700 | 641 | """ |
|
|
701 | 642 | |
|
|
702 | 643 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
703 | 644 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
704 | 645 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
705 | 646 | old_code_size = self.dataOut.radarControllerHeaderObj.code_size |
|
|
706 | 647 | new_code_size = int(numpy.ceil(self.dataOut.nBaud/32.))*self.dataOut.nCode*4 |
|
|
707 | 648 | self.radarControllerHeaderObj.size = self.radarControllerHeaderObj.size - old_code_size + new_code_size |
|
|
708 | 649 | |
|
|
709 | 650 | self.setBasicHeader() |
|
|
710 | 651 | |
|
|
711 | 652 | processingHeaderSize = 40 # bytes |
|
|
712 | 653 | self.processingHeaderObj.dtype = 1 # Spectra |
|
|
713 | 654 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
714 | 655 | self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints |
|
|
715 | 656 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
716 | 657 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
717 |
self.processingHeaderObj.processFlags = self. |
|
|
|
658 | self.processingHeaderObj.processFlags = self.getProcessFlags() | |
|
|
718 | 659 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval |
|
|
719 | 660 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt |
|
|
720 | 661 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels |
|
|
721 | 662 | self.processingHeaderObj.shif_fft = self.dataOut.flagShiftFFT |
|
|
722 | 663 | |
|
|
723 | 664 | if self.processingHeaderObj.totalSpectra > 0: |
|
|
724 | 665 | channelList = [] |
|
|
725 | 666 | for channel in range(self.dataOut.nChannels): |
|
|
726 | 667 | channelList.append(channel) |
|
|
727 | 668 | channelList.append(channel) |
|
|
728 | 669 | |
|
|
729 | 670 | pairsList = [] |
|
|
730 | 671 | if self.dataOut.nPairs > 0: |
|
|
731 | 672 | for pair in self.dataOut.pairsList: |
|
|
732 | 673 | pairsList.append(pair[0]) |
|
|
733 | 674 | pairsList.append(pair[1]) |
|
|
734 | 675 | |
|
|
735 | 676 | spectraComb = channelList + pairsList |
|
|
736 | 677 | spectraComb = numpy.array(spectraComb,dtype="u1") |
|
|
737 | 678 | self.processingHeaderObj.spectraComb = spectraComb |
|
|
738 | 679 | sizeOfSpcComb = len(spectraComb) |
|
|
739 | 680 | processingHeaderSize += sizeOfSpcComb |
|
|
740 | 681 | |
|
|
741 | 682 | # The processing header should not have information about code |
|
|
742 | 683 | # if self.dataOut.code is not None: |
|
|
743 | 684 | # self.processingHeaderObj.code = self.dataOut.code |
|
|
744 | 685 | # self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
745 | 686 | # self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
746 | 687 | # nCodeSize = 4 # bytes |
|
|
747 | 688 | # nBaudSize = 4 # bytes |
|
|
748 | 689 | # codeSize = 4 # bytes |
|
|
749 | 690 | # sizeOfCode = int(nCodeSize + nBaudSize + codeSize * self.dataOut.nCode * self.dataOut.nBaud) |
|
|
750 | 691 | # processingHeaderSize += sizeOfCode |
|
|
751 | 692 | |
|
|
752 | 693 | if self.processingHeaderObj.nWindows != 0: |
|
|
753 | 694 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
754 | 695 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
755 | 696 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
756 | 697 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
757 | 698 | sizeOfFirstHeight = 4 |
|
|
758 | 699 | sizeOfdeltaHeight = 4 |
|
|
759 | 700 | sizeOfnHeights = 4 |
|
|
760 | 701 | sizeOfWindows = (sizeOfFirstHeight + sizeOfdeltaHeight + sizeOfnHeights)*self.processingHeaderObj.nWindows |
|
|
761 | 702 | processingHeaderSize += sizeOfWindows |
|
|
762 | 703 | |
|
|
763 | 704 | self.processingHeaderObj.size = processingHeaderSize |
|
|
764 | 705 | |
| @@ -1,652 +1,599 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import numpy |
|
|
8 | 8 | |
|
|
9 | 9 | from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
|
|
10 | 10 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
11 | 11 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
12 | 12 | from schainpy.model.data.jrodata import Voltage |
|
|
13 | 13 | |
|
|
14 | 14 | class VoltageReader(JRODataReader, ProcessingUnit): |
|
|
15 | 15 | """ |
|
|
16 | 16 | Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura |
|
|
17 | 17 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones: |
|
|
18 | 18 | perfiles*alturas*canales) son almacenados en la variable "buffer". |
|
|
19 | 19 | |
|
|
20 | 20 | perfiles * alturas * canales |
|
|
21 | 21 | |
|
|
22 | 22 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
23 | 23 | RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la |
|
|
24 | 24 | cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de |
|
|
25 | 25 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
26 | 26 | |
|
|
27 | 27 | Example: |
|
|
28 | 28 | |
|
|
29 | 29 | dpath = "/home/myuser/data" |
|
|
30 | 30 | |
|
|
31 | 31 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
32 | 32 | |
|
|
33 | 33 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
34 | 34 | |
|
|
35 | 35 | readerObj = VoltageReader() |
|
|
36 | 36 | |
|
|
37 | 37 | readerObj.setup(dpath, startTime, endTime) |
|
|
38 | 38 | |
|
|
39 | 39 | while(True): |
|
|
40 | 40 | |
|
|
41 | 41 | #to get one profile |
|
|
42 | 42 | profile = readerObj.getData() |
|
|
43 | 43 | |
|
|
44 | 44 | #print the profile |
|
|
45 | 45 | print profile |
|
|
46 | 46 | |
|
|
47 | 47 | #If you want to see all datablock |
|
|
48 | 48 | print readerObj.datablock |
|
|
49 | 49 | |
|
|
50 | 50 | if readerObj.flagNoMoreFiles: |
|
|
51 | 51 | break |
|
|
52 | 52 | |
|
|
53 | 53 | """ |
|
|
54 | 54 | |
|
|
55 | 55 | ext = ".r" |
|
|
56 | 56 | |
|
|
57 | 57 | optchar = "D" |
|
|
58 | 58 | dataOut = None |
|
|
59 | 59 | |
|
|
60 | 60 | |
|
|
61 | 61 | def __init__(self): |
|
|
62 | 62 | """ |
|
|
63 | 63 | Inicializador de la clase VoltageReader para la lectura de datos de voltage. |
|
|
64 | 64 | |
|
|
65 | 65 | Input: |
|
|
66 | 66 | dataOut : Objeto de la clase Voltage. Este objeto sera utilizado para |
|
|
67 | 67 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
68 | 68 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
69 | 69 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
70 | 70 | bloque de datos. |
|
|
71 | 71 | Si este parametro no es pasado se creara uno internamente. |
|
|
72 | 72 | |
|
|
73 | 73 | Variables afectadas: |
|
|
74 | 74 | self.dataOut |
|
|
75 | 75 | |
|
|
76 | 76 | Return: |
|
|
77 | 77 | None |
|
|
78 | 78 | """ |
|
|
79 | 79 | |
|
|
80 | 80 | ProcessingUnit.__init__(self) |
|
|
81 | 81 | |
|
|
82 | 82 | self.isConfig = False |
|
|
83 | 83 | |
|
|
84 | 84 | self.datablock = None |
|
|
85 | 85 | |
|
|
86 | 86 | self.utc = 0 |
|
|
87 | 87 | |
|
|
88 | 88 | self.ext = ".r" |
|
|
89 | 89 | |
|
|
90 | 90 | self.optchar = "D" |
|
|
91 | 91 | |
|
|
92 | 92 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
93 | 93 | |
|
|
94 | 94 | self.systemHeaderObj = SystemHeader() |
|
|
95 | 95 | |
|
|
96 | 96 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
97 | 97 | |
|
|
98 | 98 | self.processingHeaderObj = ProcessingHeader() |
|
|
99 | 99 | |
|
|
100 | 100 | self.online = 0 |
|
|
101 | 101 | |
|
|
102 | 102 | self.fp = None |
|
|
103 | 103 | |
|
|
104 | 104 | self.idFile = None |
|
|
105 | 105 | |
|
|
106 | 106 | self.dtype = None |
|
|
107 | 107 | |
|
|
108 | 108 | self.fileSizeByHeader = None |
|
|
109 | 109 | |
|
|
110 | 110 | self.filenameList = [] |
|
|
111 | 111 | |
|
|
112 | 112 | self.filename = None |
|
|
113 | 113 | |
|
|
114 | 114 | self.fileSize = None |
|
|
115 | 115 | |
|
|
116 | 116 | self.firstHeaderSize = 0 |
|
|
117 | 117 | |
|
|
118 | 118 | self.basicHeaderSize = 24 |
|
|
119 | 119 | |
|
|
120 | 120 | self.pathList = [] |
|
|
121 | 121 | |
|
|
122 | 122 | self.filenameList = [] |
|
|
123 | 123 | |
|
|
124 | 124 | self.lastUTTime = 0 |
|
|
125 | 125 | |
|
|
126 | 126 | self.maxTimeStep = 30 |
|
|
127 | 127 | |
|
|
128 | 128 | self.flagNoMoreFiles = 0 |
|
|
129 | 129 | |
|
|
130 | 130 | self.set = 0 |
|
|
131 | 131 | |
|
|
132 | 132 | self.path = None |
|
|
133 | 133 | |
|
|
134 | 134 | self.profileIndex = 2**32-1 |
|
|
135 | 135 | |
|
|
136 | 136 | self.delay = 3 #seconds |
|
|
137 | 137 | |
|
|
138 | 138 | self.nTries = 3 #quantity tries |
|
|
139 | 139 | |
|
|
140 | 140 | self.nFiles = 3 #number of files for searching |
|
|
141 | 141 | |
|
|
142 | 142 | self.nReadBlocks = 0 |
|
|
143 | 143 | |
|
|
144 | 144 | self.flagIsNewFile = 1 |
|
|
145 | 145 | |
|
|
146 | 146 | self.__isFirstTimeOnline = 1 |
|
|
147 | 147 | |
|
|
148 | 148 | # self.ippSeconds = 0 |
|
|
149 | 149 | |
|
|
150 | 150 | self.flagDiscontinuousBlock = 0 |
|
|
151 | 151 | |
|
|
152 | 152 | self.flagIsNewBlock = 0 |
|
|
153 | 153 | |
|
|
154 | 154 | self.nTotalBlocks = 0 |
|
|
155 | 155 | |
|
|
156 | 156 | self.blocksize = 0 |
|
|
157 | 157 | |
|
|
158 | 158 | self.dataOut = self.createObjByDefault() |
|
|
159 | 159 | |
|
|
160 | 160 | self.nTxs = 1 |
|
|
161 | 161 | |
|
|
162 | 162 | self.txIndex = 0 |
|
|
163 | 163 | |
|
|
164 | 164 | def createObjByDefault(self): |
|
|
165 | 165 | |
|
|
166 | 166 | dataObj = Voltage() |
|
|
167 | 167 | |
|
|
168 | 168 | return dataObj |
|
|
169 | 169 | |
|
|
170 | 170 | def __hasNotDataInBuffer(self): |
|
|
171 | 171 | |
|
|
172 | 172 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
173 | 173 | return 1 |
|
|
174 | 174 | |
|
|
175 | 175 | return 0 |
|
|
176 | 176 | |
|
|
177 | 177 | |
|
|
178 | 178 | def getBlockDimension(self): |
|
|
179 | 179 | """ |
|
|
180 | 180 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
181 | 181 | |
|
|
182 | 182 | Affected: |
|
|
183 | 183 | self.blocksize |
|
|
184 | 184 | |
|
|
185 | 185 | Return: |
|
|
186 | 186 | None |
|
|
187 | 187 | """ |
|
|
188 | 188 | pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels |
|
|
189 | 189 | self.blocksize = pts2read |
|
|
190 | 190 | |
|
|
191 | 191 | |
|
|
192 | 192 | def readBlock(self): |
|
|
193 | 193 | """ |
|
|
194 | 194 | readBlock lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
195 | 195 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
196 | 196 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
197 | 197 | es seteado a 0 |
|
|
198 | 198 | |
|
|
199 | 199 | Inputs: |
|
|
200 | 200 | None |
|
|
201 | 201 | |
|
|
202 | 202 | Return: |
|
|
203 | 203 | None |
|
|
204 | 204 | |
|
|
205 | 205 | Affected: |
|
|
206 | 206 | self.profileIndex |
|
|
207 | 207 | self.datablock |
|
|
208 | 208 | self.flagIsNewFile |
|
|
209 | 209 | self.flagIsNewBlock |
|
|
210 | 210 | self.nTotalBlocks |
|
|
211 | 211 | |
|
|
212 | 212 | Exceptions: |
|
|
213 | 213 | Si un bloque leido no es un bloque valido |
|
|
214 | 214 | """ |
|
|
215 | 215 | current_pointer_location = self.fp.tell() |
|
|
216 | 216 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|
217 | 217 | |
|
|
218 | 218 | try: |
|
|
219 | 219 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
220 | 220 | except: |
|
|
221 | 221 | #print "The read block (%3d) has not enough data" %self.nReadBlocks |
|
|
222 | 222 | |
|
|
223 | 223 | if self.waitDataBlock(pointer_location=current_pointer_location): |
|
|
224 | 224 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|
225 | 225 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
226 | 226 | # return 0 |
|
|
227 | ||
|
|
228 | #Dimensions : nChannels, nProfiles, nSamples | |
|
|
227 | 229 | |
|
|
228 | 230 | junk = numpy.transpose(junk, (2,0,1)) |
|
|
229 | 231 | self.datablock = junk['real'] + junk['imag']*1j |
|
|
230 | 232 | |
|
|
231 | 233 | self.profileIndex = 0 |
|
|
232 | 234 | |
|
|
233 | 235 | self.flagIsNewFile = 0 |
|
|
234 | 236 | self.flagIsNewBlock = 1 |
|
|
235 | 237 | |
|
|
236 | 238 | self.nTotalBlocks += 1 |
|
|
237 | 239 | self.nReadBlocks += 1 |
|
|
238 | 240 | |
|
|
239 | 241 | return 1 |
|
|
240 | 242 | |
|
|
241 | 243 | def getFirstHeader(self): |
|
|
242 | 244 | |
|
|
245 | self.getBasicHeader() | |
|
|
246 | ||
|
|
243 | 247 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
244 | 248 | |
|
|
245 | 249 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
246 | 250 | |
|
|
247 | 251 | if self.nTxs > 1: |
|
|
248 | 252 | self.dataOut.radarControllerHeaderObj.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
|
249 | 253 | |
|
|
250 | 254 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt |
|
|
251 | 255 | # |
|
|
252 | 256 | # if self.radarControllerHeaderObj.code is not None: |
|
|
253 | 257 | # |
|
|
254 | 258 | # self.dataOut.nCode = self.radarControllerHeaderObj.nCode |
|
|
255 | 259 | # |
|
|
256 | 260 | # self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud |
|
|
257 | 261 | # |
|
|
258 | 262 | # self.dataOut.code = self.radarControllerHeaderObj.code |
|
|
259 | 263 | |
|
|
260 | 264 | self.dataOut.dtype = self.dtype |
|
|
261 | 265 | |
|
|
262 | 266 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
263 | 267 | |
|
|
264 | 268 | if self.processingHeaderObj.nHeights % self.nTxs != 0: |
|
|
265 | 269 | raise ValueError, "nTxs (%d) should be a multiple of nHeights (%d)" %(self.nTxs, self.processingHeaderObj.nHeights) |
|
|
266 | 270 | |
|
|
267 | 271 | xf = self.processingHeaderObj.firstHeight + int(self.processingHeaderObj.nHeights/self.nTxs)*self.processingHeaderObj.deltaHeight |
|
|
268 | 272 | |
|
|
269 | 273 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|
270 | 274 | |
|
|
271 | 275 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
272 | 276 | |
|
|
273 | 277 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
274 | 278 | |
|
|
275 | 279 | self.dataOut.flagShiftFFT = False |
|
|
276 | 280 | |
|
|
277 | 281 | self.dataOut.flagDecodeData = False #asumo q la data no esta decodificada |
|
|
278 | 282 | |
|
|
279 | 283 | self.dataOut.flagDeflipData = False #asumo q la data no esta sin flip |
|
|
280 | 284 | |
|
|
281 | 285 | self.dataOut.flagShiftFFT = False |
|
|
282 | 286 | |
|
|
283 | 287 | def getData(self): |
|
|
284 | 288 | """ |
|
|
285 | 289 | getData obtiene una unidad de datos del buffer de lectura, un perfil, y la copia al objeto self.dataOut |
|
|
286 | 290 | del tipo "Voltage" con todos los parametros asociados a este (metadata). cuando no hay datos |
|
|
287 | 291 | en el buffer de lectura es necesario hacer una nueva lectura de los bloques de datos usando |
|
|
288 | 292 | "readNextBlock" |
|
|
289 | 293 | |
|
|
290 | 294 | Ademas incrementa el contador del buffer "self.profileIndex" en 1. |
|
|
291 | 295 | |
|
|
292 | 296 | Return: |
|
|
293 | 297 | |
|
|
294 | 298 | Si el flag self.getByBlock ha sido seteado el bloque completo es copiado a self.dataOut y el self.profileIndex |
|
|
295 | 299 | es igual al total de perfiles leidos desde el archivo. |
|
|
296 | 300 | |
|
|
297 | 301 | Si self.getByBlock == False: |
|
|
298 | 302 | |
|
|
299 | 303 | self.dataOut.data = buffer[:, thisProfile, :] |
|
|
300 | 304 | |
|
|
301 | 305 | shape = [nChannels, nHeis] |
|
|
302 | 306 | |
|
|
303 | 307 | Si self.getByBlock == True: |
|
|
304 | 308 | |
|
|
305 | 309 | self.dataOut.data = buffer[:, :, :] |
|
|
306 | 310 | |
|
|
307 | 311 | shape = [nChannels, nProfiles, nHeis] |
|
|
308 | 312 | |
|
|
309 | 313 | Variables afectadas: |
|
|
310 | 314 | self.dataOut |
|
|
311 | 315 | self.profileIndex |
|
|
312 | 316 | |
|
|
313 | 317 | Affected: |
|
|
314 | 318 | self.dataOut |
|
|
315 | 319 | self.profileIndex |
|
|
316 | 320 | self.flagDiscontinuousBlock |
|
|
317 | 321 | self.flagIsNewBlock |
|
|
318 | 322 | """ |
|
|
319 | 323 | |
|
|
320 | 324 | if self.flagNoMoreFiles: |
|
|
321 | 325 | self.dataOut.flagNoData = True |
|
|
322 | 326 | print 'Process finished' |
|
|
323 | 327 | return 0 |
|
|
324 | 328 | |
|
|
325 | 329 | self.flagDiscontinuousBlock = 0 |
|
|
326 | 330 | self.flagIsNewBlock = 0 |
|
|
327 | 331 | |
|
|
328 | 332 | if self.__hasNotDataInBuffer(): |
|
|
329 | 333 | |
|
|
330 | 334 | if not( self.readNextBlock() ): |
|
|
331 | 335 | return 0 |
|
|
332 | 336 | |
|
|
333 | 337 | self.getFirstHeader() |
|
|
334 | 338 | |
|
|
335 | 339 | if self.datablock is None: |
|
|
336 | 340 | self.dataOut.flagNoData = True |
|
|
337 | 341 | return 0 |
|
|
338 | 342 | |
|
|
339 | 343 | if not self.getByBlock: |
|
|
340 | 344 | |
|
|
341 | 345 | """ |
|
|
342 | 346 | Return profile by profile |
|
|
343 | 347 | |
|
|
344 | 348 | If nTxs > 1 then one profile is divided by nTxs and number of total |
|
|
345 | 349 | blocks is increased by nTxs (nProfiles *= nTxs) |
|
|
346 | 350 | """ |
|
|
347 | 351 | self.dataOut.flagDataAsBlock = False |
|
|
348 | 352 | |
|
|
349 | 353 | if self.nTxs == 1: |
|
|
350 | 354 | self.dataOut.data = self.datablock[:,self.profileIndex,:] |
|
|
351 | 355 | self.dataOut.profileIndex = self.profileIndex |
|
|
352 | 356 | |
|
|
353 | 357 | self.profileIndex += 1 |
|
|
354 | 358 | |
|
|
355 | 359 | else: |
|
|
356 | 360 | iniHei_ForThisTx = (self.txIndex)*int(self.processingHeaderObj.nHeights/self.nTxs) |
|
|
357 | 361 | endHei_ForThisTx = (self.txIndex+1)*int(self.processingHeaderObj.nHeights/self.nTxs) |
|
|
358 | 362 | |
|
|
359 | 363 | # print iniHei_ForThisTx, endHei_ForThisTx |
|
|
360 | 364 | |
|
|
361 | 365 | self.dataOut.data = self.datablock[:, self.profileIndex, iniHei_ForThisTx:endHei_ForThisTx] |
|
|
362 | 366 | self.dataOut.profileIndex = self.profileIndex*self.nTxs + self.txIndex |
|
|
363 | 367 | |
|
|
364 | 368 | self.txIndex += 1 |
|
|
365 | 369 | |
|
|
366 | 370 | if self.txIndex == self.nTxs: |
|
|
367 | 371 | self.txIndex = 0 |
|
|
368 | 372 | self.profileIndex += 1 |
|
|
369 | 373 | |
|
|
370 | 374 | else: |
|
|
371 | 375 | """ |
|
|
372 | 376 | Return all block |
|
|
373 | 377 | """ |
|
|
374 | 378 | self.dataOut.flagDataAsBlock = True |
|
|
375 | 379 | self.dataOut.data = self.datablock |
|
|
376 | 380 | self.dataOut.profileIndex = self.processingHeaderObj.profilesPerBlock |
|
|
377 | 381 | |
|
|
378 | 382 | self.profileIndex = self.processingHeaderObj.profilesPerBlock |
|
|
379 | 383 | |
|
|
380 | 384 | self.dataOut.flagNoData = False |
|
|
381 | 385 | |
|
|
382 | 386 | self.getBasicHeader() |
|
|
383 | 387 | |
|
|
384 | 388 | self.dataOut.realtime = self.online |
|
|
385 | 389 | |
|
|
386 | 390 | return self.dataOut.data |
|
|
387 | 391 | |
|
|
388 | 392 | class VoltageWriter(JRODataWriter, Operation): |
|
|
389 | 393 | """ |
|
|
390 | 394 | Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura |
|
|
391 | 395 | de los datos siempre se realiza por bloques. |
|
|
392 | 396 | """ |
|
|
393 | 397 | |
|
|
394 | 398 | ext = ".r" |
|
|
395 | 399 | |
|
|
396 | 400 | optchar = "D" |
|
|
397 | 401 | |
|
|
398 | 402 | shapeBuffer = None |
|
|
399 | 403 | |
|
|
400 | 404 | |
|
|
401 | 405 | def __init__(self): |
|
|
402 | 406 | """ |
|
|
403 | 407 | Inicializador de la clase VoltageWriter para la escritura de datos de espectros. |
|
|
404 | 408 | |
|
|
405 | 409 | Affected: |
|
|
406 | 410 | self.dataOut |
|
|
407 | 411 | |
|
|
408 | 412 | Return: None |
|
|
409 | 413 | """ |
|
|
410 | 414 | Operation.__init__(self) |
|
|
411 | 415 | |
|
|
412 | 416 | self.nTotalBlocks = 0 |
|
|
413 | 417 | |
|
|
414 | 418 | self.profileIndex = 0 |
|
|
415 | 419 | |
|
|
416 | 420 | self.isConfig = False |
|
|
417 | 421 | |
|
|
418 | 422 | self.fp = None |
|
|
419 | 423 | |
|
|
420 | 424 | self.flagIsNewFile = 1 |
|
|
421 | 425 | |
|
|
422 |
self. |
|
|
|
426 | self.blockIndex = 0 | |
|
|
423 | 427 | |
|
|
424 | 428 | self.flagIsNewBlock = 0 |
|
|
425 | 429 | |
|
|
426 | 430 | self.setFile = None |
|
|
427 | 431 | |
|
|
428 | 432 | self.dtype = None |
|
|
429 | 433 | |
|
|
430 | 434 | self.path = None |
|
|
431 | 435 | |
|
|
432 | 436 | self.filename = None |
|
|
433 | 437 | |
|
|
434 | 438 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
435 | 439 | |
|
|
436 | 440 | self.systemHeaderObj = SystemHeader() |
|
|
437 | 441 | |
|
|
438 | 442 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
439 | 443 | |
|
|
440 | 444 | self.processingHeaderObj = ProcessingHeader() |
|
|
441 | 445 | |
|
|
442 | 446 | def hasAllDataInBuffer(self): |
|
|
443 | 447 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
444 | 448 | return 1 |
|
|
445 | 449 | return 0 |
|
|
446 | 450 | |
|
|
447 | 451 | |
|
|
448 | 452 | def setBlockDimension(self): |
|
|
449 | 453 | """ |
|
|
450 | 454 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
451 | 455 | |
|
|
452 | 456 | Affected: |
|
|
453 | 457 | self.shape_spc_Buffer |
|
|
454 | 458 | self.shape_cspc_Buffer |
|
|
455 | 459 | self.shape_dc_Buffer |
|
|
456 | 460 | |
|
|
457 | 461 | Return: None |
|
|
458 | 462 | """ |
|
|
459 | 463 | self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock, |
|
|
460 | 464 | self.processingHeaderObj.nHeights, |
|
|
461 | 465 | self.systemHeaderObj.nChannels) |
|
|
462 | 466 | |
|
|
463 | 467 | self.datablock = numpy.zeros((self.systemHeaderObj.nChannels, |
|
|
464 | 468 | self.processingHeaderObj.profilesPerBlock, |
|
|
465 | 469 | self.processingHeaderObj.nHeights), |
|
|
466 | 470 | dtype=numpy.dtype('complex64')) |
|
|
467 | 471 | |
|
|
468 | 472 | def writeBlock(self): |
|
|
469 | 473 | """ |
|
|
470 | 474 | Escribe el buffer en el file designado |
|
|
471 | 475 | |
|
|
472 | 476 | Affected: |
|
|
473 | 477 | self.profileIndex |
|
|
474 | 478 | self.flagIsNewFile |
|
|
475 | 479 | self.flagIsNewBlock |
|
|
476 | 480 | self.nTotalBlocks |
|
|
477 | 481 | self.blockIndex |
|
|
478 | 482 | |
|
|
479 | 483 | Return: None |
|
|
480 | 484 | """ |
|
|
481 | 485 | data = numpy.zeros( self.shapeBuffer, self.dtype ) |
|
|
482 | 486 | |
|
|
483 | 487 | junk = numpy.transpose(self.datablock, (1,2,0)) |
|
|
484 | 488 | |
|
|
485 | 489 | data['real'] = junk.real |
|
|
486 | 490 | data['imag'] = junk.imag |
|
|
487 | 491 | |
|
|
488 | 492 | data = data.reshape( (-1) ) |
|
|
489 | 493 | |
|
|
490 | 494 | data.tofile( self.fp ) |
|
|
491 | 495 | |
|
|
492 | 496 | self.datablock.fill(0) |
|
|
493 | 497 | |
|
|
494 | 498 | self.profileIndex = 0 |
|
|
495 | 499 | self.flagIsNewFile = 0 |
|
|
496 | 500 | self.flagIsNewBlock = 1 |
|
|
497 | 501 | |
|
|
498 | 502 | self.blockIndex += 1 |
|
|
499 | 503 | self.nTotalBlocks += 1 |
|
|
500 | 504 | |
|
|
501 | 505 | # print "[Writing] Block = %04d" %self.blockIndex |
|
|
502 | 506 | |
|
|
503 | 507 | def putData(self): |
|
|
504 | 508 | """ |
|
|
505 | 509 | Setea un bloque de datos y luego los escribe en un file |
|
|
506 | 510 | |
|
|
507 | 511 | Affected: |
|
|
508 | 512 | self.flagIsNewBlock |
|
|
509 | 513 | self.profileIndex |
|
|
510 | 514 | |
|
|
511 | 515 | Return: |
|
|
512 | 516 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
513 | 517 | 1 : Si se escribio la data de un bloque en un file |
|
|
514 | 518 | """ |
|
|
515 | 519 | if self.dataOut.flagNoData: |
|
|
516 | 520 | return 0 |
|
|
517 | 521 | |
|
|
518 | 522 | self.flagIsNewBlock = 0 |
|
|
519 | 523 | |
|
|
520 | 524 | if self.dataOut.flagDiscontinuousBlock: |
|
|
521 | 525 | self.datablock.fill(0) |
|
|
522 | 526 | self.profileIndex = 0 |
|
|
523 | 527 | self.setNextFile() |
|
|
524 | 528 | |
|
|
525 | 529 | if self.profileIndex == 0: |
|
|
526 | 530 | self.setBasicHeader() |
|
|
527 | 531 | |
|
|
528 | 532 | self.datablock[:,self.profileIndex,:] = self.dataOut.data |
|
|
529 | 533 | |
|
|
530 | 534 | self.profileIndex += 1 |
|
|
531 | 535 | |
|
|
532 | 536 | if self.hasAllDataInBuffer(): |
|
|
533 | 537 | #if self.flagIsNewFile: |
|
|
534 | 538 | self.writeNextBlock() |
|
|
535 | 539 | # self.setFirstHeader() |
|
|
536 | 540 | |
|
|
537 | 541 | return 1 |
|
|
538 | 542 | |
|
|
539 | def __getProcessFlags(self): | |
|
|
540 | ||
|
|
541 | processFlags = 0 | |
|
|
542 | ||
|
|
543 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) | |
|
|
544 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) | |
|
|
545 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) | |
|
|
546 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) | |
|
|
547 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
|
|
548 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) | |
|
|
549 | ||
|
|
550 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] | |
|
|
551 | ||
|
|
552 | ||
|
|
553 | ||
|
|
554 | datatypeValueList = [PROCFLAG.DATATYPE_CHAR, | |
|
|
555 | PROCFLAG.DATATYPE_SHORT, | |
|
|
556 | PROCFLAG.DATATYPE_LONG, | |
|
|
557 | PROCFLAG.DATATYPE_INT64, | |
|
|
558 | PROCFLAG.DATATYPE_FLOAT, | |
|
|
559 | PROCFLAG.DATATYPE_DOUBLE] | |
|
|
560 | ||
|
|
561 | ||
|
|
562 | for index in range(len(dtypeList)): | |
|
|
563 | if self.dataOut.dtype == dtypeList[index]: | |
|
|
564 | dtypeValue = datatypeValueList[index] | |
|
|
565 | break | |
|
|
566 | ||
|
|
567 | processFlags += dtypeValue | |
|
|
568 | ||
|
|
569 | if self.dataOut.flagDecodeData: | |
|
|
570 | processFlags += PROCFLAG.DECODE_DATA | |
|
|
571 | ||
|
|
572 | if self.dataOut.flagDeflipData: | |
|
|
573 | processFlags += PROCFLAG.DEFLIP_DATA | |
|
|
574 | ||
|
|
575 | if self.dataOut.code is not None: | |
|
|
576 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE | |
|
|
577 | ||
|
|
578 | if self.dataOut.nCohInt > 1: | |
|
|
579 | processFlags += PROCFLAG.COHERENT_INTEGRATION | |
|
|
580 | ||
|
|
581 | return processFlags | |
|
|
582 | ||
|
|
583 | ||
|
|
584 | 543 | def __getBlockSize(self): |
|
|
585 | 544 | ''' |
|
|
586 | 545 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage |
|
|
587 | 546 | ''' |
|
|
588 | 547 | |
|
|
589 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) | |
|
|
590 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) | |
|
|
591 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) | |
|
|
592 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) | |
|
|
593 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
|
|
594 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) | |
|
|
595 | ||
|
|
596 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] | |
|
|
597 | datatypeValueList = [1,2,4,8,4,8] | |
|
|
598 | for index in range(len(dtypeList)): | |
|
|
599 | if self.dataOut.dtype == dtypeList[index]: | |
|
|
600 | datatypeValue = datatypeValueList[index] | |
|
|
601 | break | |
|
|
548 | dtype_width = self.getDtypeWidth() | |
|
|
602 | 549 | |
|
|
603 |
blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * d |
|
|
|
550 | blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * dtype_width * 2) | |
|
|
604 | 551 | |
|
|
605 | 552 | return blocksize |
|
|
606 | 553 | |
|
|
607 | 554 | def setFirstHeader(self): |
|
|
608 | 555 | |
|
|
609 | 556 | """ |
|
|
610 | 557 | Obtiene una copia del First Header |
|
|
611 | 558 | |
|
|
612 | 559 | Affected: |
|
|
613 | 560 | self.systemHeaderObj |
|
|
614 | 561 | self.radarControllerHeaderObj |
|
|
615 | 562 | self.dtype |
|
|
616 | 563 | |
|
|
617 | 564 | Return: |
|
|
618 | 565 | None |
|
|
619 | 566 | """ |
|
|
620 | 567 | |
|
|
621 | 568 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
622 | 569 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
623 | 570 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
624 | 571 | |
|
|
625 | 572 | self.setBasicHeader() |
|
|
626 | 573 | |
|
|
627 | 574 | processingHeaderSize = 40 # bytes |
|
|
628 | 575 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|
629 | 576 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
630 | 577 | self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock |
|
|
631 | 578 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
632 | 579 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
633 |
self.processingHeaderObj.processFlags = self. |
|
|
|
580 | self.processingHeaderObj.processFlags = self.getProcessFlags() | |
|
|
634 | 581 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt |
|
|
635 | 582 | self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage |
|
|
636 | 583 | self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage |
|
|
637 | 584 | |
|
|
638 | 585 | # if self.dataOut.code is not None: |
|
|
639 | 586 | # self.processingHeaderObj.code = self.dataOut.code |
|
|
640 | 587 | # self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
641 | 588 | # self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
642 | 589 | # codesize = int(8 + 4 * self.dataOut.nCode * self.dataOut.nBaud) |
|
|
643 | 590 | # processingHeaderSize += codesize |
|
|
644 | 591 | |
|
|
645 | 592 | if self.processingHeaderObj.nWindows != 0: |
|
|
646 | 593 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
647 | 594 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
648 | 595 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
649 | 596 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
650 | 597 | processingHeaderSize += 12 |
|
|
651 | 598 | |
|
|
652 | 599 | self.processingHeaderObj.size = processingHeaderSize No newline at end of file |
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