@@ -1,409 +1,410 | |||
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1 | 1 | ''' |
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2 | 2 | Created on 23/01/2012 |
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3 | 3 | |
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4 | 4 | @author $Author$ |
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5 | 5 | @version $Id$ |
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6 | 6 | ''' |
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7 | 7 | |
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8 | 8 | import numpy |
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9 | 9 | |
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10 | 10 | class BasicHeader: |
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11 | 11 | |
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12 | 12 | def __init__(self): |
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13 | 13 | self.size = 0 |
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14 | 14 | self.version = 0 |
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15 | 15 | self.dataBlock = 0 |
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16 | 16 | self.utc = 0 |
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17 | 17 | self.miliSecond = 0 |
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18 | 18 | self.timeZone = 0 |
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19 | 19 | self.dstFlag = 0 |
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20 | 20 | self.errorCount = 0 |
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21 | 21 | self.struct = numpy.dtype([ |
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22 | 22 | ('nSize','<u4'), |
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23 | 23 | ('nVersion','<u2'), |
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24 | 24 | ('nDataBlockId','<u4'), |
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25 | 25 | ('nUtime','<u4'), |
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26 | 26 | ('nMilsec','<u2'), |
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27 | 27 | ('nTimezone','<i2'), |
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28 | 28 | ('nDstflag','<i2'), |
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29 | 29 | ('nErrorCount','<u4') |
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30 | 30 | ]) |
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31 | 31 | pass |
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32 | 32 | |
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33 | 33 | def read(self, fp): |
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34 | 34 | |
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35 | 35 | header = numpy.fromfile(fp, self.struct,1) |
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36 | 36 | self.size = header['nSize'][0] |
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37 | 37 | self.version = header['nVersion'][0] |
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38 | 38 | self.dataBlock = header['nDataBlockId'][0] |
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39 | 39 | self.utc = header['nUtime'][0] |
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40 | 40 | self.miliSecond = header['nMilsec'][0] |
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41 | 41 | self.timeZone = header['nTimezone'][0] |
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42 | 42 | self.dstFlag = header['nDstflag'][0] |
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43 | 43 | self.errorCount = header['nErrorCount'][0] |
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44 | 44 | |
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45 | 45 | return 1 |
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46 | 46 | |
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47 | 47 | def copy(self): |
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48 | 48 | |
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49 | 49 | obj = BasicHeader() |
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50 | 50 | obj.size = self.size |
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51 | 51 | obj.version = self.version |
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52 | 52 | obj.dataBlock = self.dataBlock |
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53 | 53 | obj.utc = self.utc |
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54 | 54 | obj.miliSecond = self.miliSecond |
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55 | 55 | obj.timeZone = self.timeZone |
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56 | 56 | obj.dstFlag = self.dstFlag |
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57 | 57 | obj.errorCount = self.errorCount |
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58 | 58 | |
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59 | 59 | return obj |
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60 | 60 | |
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61 | 61 | def write(self, fp): |
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62 | 62 | headerTuple = (self.size,self.version,self.dataBlock,self.utc,self.miliSecond,self.timeZone,self.dstFlag,self.errorCount) |
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63 | 63 | header = numpy.array(headerTuple,self.struct) |
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64 | 64 | header.tofile(fp) |
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65 | 65 | |
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66 | 66 | return 1 |
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67 | 67 | |
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68 | 68 | class SystemHeader: |
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69 | 69 | |
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70 | 70 | def __init__(self): |
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71 | 71 | self.size = 0 |
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72 | 72 | self.numSamples = 0 |
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73 | 73 | self.numProfiles = 0 |
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74 | 74 | self.numChannels = 0 |
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75 | 75 | self.adcResolution = 0 |
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76 | 76 | self.pciDioBusWidth = 0 |
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77 | 77 | self.struct = numpy.dtype([ |
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78 | 78 | ('nSize','<u4'), |
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79 | 79 | ('nNumSamples','<u4'), |
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80 | 80 | ('nNumProfiles','<u4'), |
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81 | 81 | ('nNumChannels','<u4'), |
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82 | 82 | ('nADCResolution','<u4'), |
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83 | 83 | ('nPCDIOBusWidth','<u4'), |
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84 | 84 | ]) |
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85 | 85 | |
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86 | 86 | |
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87 | 87 | def read(self, fp): |
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88 | 88 | header = numpy.fromfile(fp,self.struct,1) |
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89 | 89 | self.size = header['nSize'][0] |
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90 | 90 | self.numSamples = header['nNumSamples'][0] |
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91 | 91 | self.numProfiles = header['nNumProfiles'][0] |
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92 | 92 | self.numChannels = header['nNumChannels'][0] |
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93 | 93 | self.adcResolution = header['nADCResolution'][0] |
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94 | 94 | self.pciDioBusWidth = header['nPCDIOBusWidth'][0] |
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95 | 95 | |
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96 | 96 | |
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97 | 97 | return 1 |
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98 | 98 | |
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99 | 99 | def copy(self): |
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100 | 100 | |
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101 | 101 | obj = SystemHeader() |
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102 | 102 | obj.size = self.size |
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103 | 103 | obj.numSamples = self.numSamples |
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104 | 104 | obj.numProfiles = self.numProfiles |
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105 | 105 | obj.numChannels = self.numChannels |
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106 | 106 | obj.adcResolution = self.adcResolution |
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107 |
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107 | obj.pciDioBusWidth = self.pciDioBusWidth | |
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108 | 108 | |
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109 | 109 | |
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110 | 110 | return obj |
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111 | 111 | |
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112 | 112 | def write(self, fp): |
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113 | 113 | headerTuple = (self.size,self.numSamples,self.numProfiles,self.numChannels,self.adcResolution,self.pciDioBusWidth) |
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114 | 114 | header = numpy.array(headerTuple,self.struct) |
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115 | 115 | header.tofile(fp) |
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116 | 116 | |
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117 | 117 | return 1 |
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118 | 118 | |
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119 | 119 | class RadarControllerHeader: |
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120 | 120 | |
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121 | 121 | |
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122 | 122 | def __init__(self): |
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123 | 123 | self.size = 0 |
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124 | 124 | self.expType = 0 |
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125 | 125 | self.nTx = 0 |
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126 | 126 | self.ipp = 0 |
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127 | 127 | self.txA = 0 |
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128 | 128 | self.txB = 0 |
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129 | 129 | self.numWindows = 0 |
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130 | 130 | self.numTaus = 0 |
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131 | 131 | self.codeType = 0 |
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132 | 132 | self.line6Function = 0 |
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133 | 133 | self.line5Function = 0 |
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134 | 134 | self.fClock = 0 |
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135 | 135 | self.prePulseBefore = 0 |
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136 | 136 | self.prePulserAfter = 0 |
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137 | 137 | self.rangeIpp = 0 |
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138 | 138 | self.rangeTxA = 0 |
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139 | 139 | self.rangeTxB = 0 |
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140 | 140 | self.struct = numpy.dtype([ |
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141 | 141 | ('nSize','<u4'), |
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142 | 142 | ('nExpType','<u4'), |
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143 | 143 | ('nNTx','<u4'), |
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144 | 144 | ('fIpp','<f4'), |
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145 | 145 | ('fTxA','<f4'), |
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146 | 146 | ('fTxB','<f4'), |
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147 | 147 | ('nNumWindows','<u4'), |
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148 | 148 | ('nNumTaus','<u4'), |
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149 | 149 | ('nCodeType','<u4'), |
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150 | 150 | ('nLine6Function','<u4'), |
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151 | 151 | ('nLine5Function','<u4'), |
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152 | 152 | ('fClock','<f4'), |
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153 | 153 | ('nPrePulseBefore','<u4'), |
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154 | 154 | ('nPrePulseAfter','<u4'), |
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155 | 155 | ('sRangeIPP','<a20'), |
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156 | 156 | ('sRangeTxA','<a20'), |
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157 | 157 | ('sRangeTxB','<a20'), |
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158 | 158 | ]) |
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159 | 159 | self.dynamic = numpy.array([],numpy.dtype('byte')) |
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160 | 160 | |
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161 | 161 | |
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162 | 162 | def read(self, fp): |
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163 | 163 | header = numpy.fromfile(fp,self.struct,1) |
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164 | 164 | self.size = header['nSize'][0] |
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165 | 165 | self.expType = header['nExpType'][0] |
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166 | 166 | self.nTx = header['nNTx'][0] |
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167 | 167 | self.ipp = header['fIpp'][0] |
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168 | 168 | self.txA = header['fTxA'][0] |
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169 | 169 | self.txB = header['fTxB'][0] |
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170 | 170 | self.numWindows = header['nNumWindows'][0] |
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171 | 171 | self.numTaus = header['nNumTaus'][0] |
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172 | 172 | self.codeType = header['nCodeType'][0] |
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173 | 173 | self.line6Function = header['nLine6Function'][0] |
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174 | 174 | self.line5Function = header['nLine5Function'][0] |
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175 | 175 | self.fClock = header['fClock'][0] |
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176 | 176 | self.prePulseBefore = header['nPrePulseBefore'][0] |
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177 | 177 | self.prePulserAfter = header['nPrePulseAfter'][0] |
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178 | 178 | self.rangeIpp = header['sRangeIPP'][0] |
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179 | 179 | self.rangeTxA = header['sRangeTxA'][0] |
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180 | 180 | self.rangeTxB = header['sRangeTxB'][0] |
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181 | 181 | # jump Dynamic Radar Controller Header |
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182 | 182 | jumpHeader = self.size - 116 |
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183 | 183 | self.dynamic = numpy.fromfile(fp,numpy.dtype('byte'),jumpHeader) |
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184 | 184 | |
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185 | 185 | return 1 |
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186 | 186 | |
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187 | 187 | def copy(self): |
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188 | 188 | |
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189 | 189 | obj = RadarControllerHeader() |
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190 | 190 | obj.size = self.size |
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191 | 191 | obj.expType = self.expType |
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192 | 192 | obj.nTx = self.nTx |
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193 | 193 | obj.ipp = self.ipp |
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194 | 194 | obj.txA = self.txA |
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195 | 195 | obj.txB = self.txB |
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196 | 196 | obj.numWindows = self.numWindows |
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197 | 197 | obj.numTaus = self.numTaus |
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198 | 198 | obj.codeType = self.codeType |
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199 | 199 | obj.line6Function = self.line6Function |
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200 | 200 | obj.line5Function = self.line5Function |
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201 | 201 | obj.fClock = self.fClock |
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202 | 202 | obj.prePulseBefore = self.prePulseBefore |
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203 | 203 | obj.prePulserAfter = self.prePulserAfter |
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204 | 204 | obj.rangeIpp = self.rangeIpp |
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205 | 205 | obj.rangeTxA = self.rangeTxA |
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206 | 206 | obj.rangeTxB = self.rangeTxB |
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207 | 207 | obj.dynamic = self.dynamic |
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208 | 208 | |
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209 | 209 | return obj |
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210 | 210 | |
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211 | 211 | def write(self, fp): |
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212 | 212 | headerTuple = (self.size, |
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213 | 213 | self.expType, |
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214 | 214 | self.nTx, |
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215 | 215 | self.ipp, |
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216 | 216 | self.txA, |
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217 | 217 | self.txB, |
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218 | 218 | self.numWindows, |
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219 | 219 | self.numTaus, |
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220 | 220 | self.codeType, |
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221 | 221 | self.line6Function, |
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222 | 222 | self.line5Function, |
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223 | 223 | self.fClock, |
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224 | 224 | self.prePulseBefore, |
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225 | 225 | self.prePulserAfter, |
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226 | 226 | self.rangeIpp, |
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227 | 227 | self.rangeTxA, |
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228 | 228 | self.rangeTxB) |
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229 | 229 | |
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230 | 230 | header = numpy.array(headerTuple,self.struct) |
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231 | 231 | header.tofile(fp) |
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232 | 232 | |
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233 | 233 | dynamic = self.dynamic |
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234 | 234 | dynamic.tofile(fp) |
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235 | 235 | |
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236 | 236 | return 1 |
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237 | 237 | |
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238 | 238 | |
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239 | 239 | |
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240 | 240 | class ProcessingHeader: |
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241 | 241 | |
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242 | 242 | def __init__(self): |
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243 | 243 | self.size = 0 |
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244 | 244 | self.dataType = 0 |
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245 | 245 | self.blockSize = 0 |
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246 | 246 | self.profilesPerBlock = 0 |
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247 | 247 | self.dataBlocksPerFile = 0 |
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248 | 248 | self.numWindows = 0 |
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249 | 249 | self.processFlags = 0 |
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250 | 250 | self.coherentInt = 0 |
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251 | 251 | self.incoherentInt = 0 |
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252 | 252 | self.totalSpectra = 0 |
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253 | 253 | self.struct = numpy.dtype([ |
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254 | 254 | ('nSize','<u4'), |
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255 | 255 | ('nDataType','<u4'), |
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256 | 256 | ('nSizeOfDataBlock','<u4'), |
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257 | 257 | ('nProfilesperBlock','<u4'), |
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258 | 258 | ('nDataBlocksperFile','<u4'), |
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259 | 259 | ('nNumWindows','<u4'), |
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260 | 260 | ('nProcessFlags','<u4'), |
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261 | 261 | ('nCoherentIntegrations','<u4'), |
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262 | 262 | ('nIncoherentIntegrations','<u4'), |
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263 | 263 | ('nTotalSpectra','<u4') |
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264 | 264 | ]) |
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265 | 265 | self.samplingWindow = 0 |
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266 | 266 | self.structSamplingWindow = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')]) |
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267 | 267 | self.numHeights = 0 |
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268 | 268 | self.firstHeight = 0 |
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269 | 269 | self.deltaHeight = 0 |
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270 | 270 | self.samplesWin = 0 |
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271 | 271 | self.spectraComb = 0 |
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272 | 272 | self.numCode = 0 |
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273 | 273 | self.codes = 0 |
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274 | 274 | self.numBaud = 0 |
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275 | self.shif_fft = False | |
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275 | 276 | |
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276 | 277 | def read(self, fp): |
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277 | 278 | header = numpy.fromfile(fp,self.struct,1) |
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278 | 279 | self.size = header['nSize'][0] |
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279 | 280 | self.dataType = header['nDataType'][0] |
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280 | 281 | self.blockSize = header['nSizeOfDataBlock'][0] |
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281 | 282 | self.profilesPerBlock = header['nProfilesperBlock'][0] |
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282 | 283 | self.dataBlocksPerFile = header['nDataBlocksperFile'][0] |
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283 | 284 | self.numWindows = header['nNumWindows'][0] |
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284 | 285 | self.processFlags = header['nProcessFlags'] |
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285 | 286 | self.coherentInt = header['nCoherentIntegrations'][0] |
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286 | 287 | self.incoherentInt = header['nIncoherentIntegrations'][0] |
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287 | 288 | self.totalSpectra = header['nTotalSpectra'][0] |
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288 | 289 | self.samplingWindow = numpy.fromfile(fp,self.structSamplingWindow,self.numWindows) |
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289 | 290 | self.numHeights = numpy.sum(self.samplingWindow['nsa']) |
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290 | 291 | self.firstHeight = self.samplingWindow['h0'] |
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291 | 292 | self.deltaHeight = self.samplingWindow['dh'] |
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292 | 293 | self.samplesWin = self.samplingWindow['nsa'] |
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293 | 294 | self.spectraComb = numpy.fromfile(fp,'u1',2*self.totalSpectra) |
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294 | 295 | |
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295 | 296 | if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
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296 | 297 | self.numCode = numpy.fromfile(fp,'<u4',1) |
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297 | 298 | self.numBaud = numpy.fromfile(fp,'<u4',1) |
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298 | 299 | self.codes = numpy.fromfile(fp,'<f4',self.numCode*self.numBaud).reshape(self.numBaud,self.numCode) |
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299 | 300 | |
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300 | 301 | if self.processFlags & PROCFLAG.SHIFT_FFT_DATA == PROCFLAG.SHIFT_FFT_DATA: |
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301 | 302 | self.shif_fft = True |
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302 | 303 | else: |
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303 | 304 | self.shif_fft = False |
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304 | 305 | |
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305 | 306 | |
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306 | 307 | return 1 |
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307 | 308 | |
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308 | 309 | def copy(self): |
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309 | 310 | |
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310 | 311 | obj = ProcessingHeader() |
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311 | 312 | obj.size = self.size |
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312 | 313 | obj.dataType = self.dataType |
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313 | 314 | obj.blockSize = self.blockSize |
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314 | 315 | obj.profilesPerBlock = self.profilesPerBlock |
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315 | 316 | obj.dataBlocksPerFile = self.dataBlocksPerFile |
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316 | 317 | obj.numWindows = self.numWindows |
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317 | 318 | obj.processFlags = self.processFlags |
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318 | 319 | obj.coherentInt = self.coherentInt |
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319 | 320 | obj.incoherentInt = self.incoherentInt |
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320 | 321 | obj.totalSpectra = self.totalSpectra |
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321 | 322 | obj.samplingWindow = self.samplingWindow |
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322 | 323 | obj.numHeights = self.numHeights |
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323 | 324 | obj.firstHeight = self.firstHeight |
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324 | 325 | obj.deltaHeight = self.deltaHeight |
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325 | 326 | obj.samplesWin = self.samplesWin |
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326 | 327 | obj.spectraComb = self.spectraComb |
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327 | 328 | obj.numCode = self.numCode |
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328 | 329 | obj.numBaud = self.numBaud |
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329 | 330 | obj.codes = self.codes |
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330 | 331 | |
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331 | 332 | obj.shif_fft = self.shif_fft |
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332 | 333 | return obj |
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333 | 334 | |
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334 | 335 | def write(self, fp): |
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335 | 336 | headerTuple = (self.size, |
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336 | 337 | self.dataType, |
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337 | 338 | self.blockSize, |
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338 | 339 | self.profilesPerBlock, |
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339 | 340 | self.dataBlocksPerFile, |
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340 | 341 | self.numWindows, |
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341 | 342 | self.processFlags, |
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342 | 343 | self.coherentInt, |
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343 | 344 | self.incoherentInt, |
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344 | 345 | self.totalSpectra) |
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345 | 346 | |
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346 | 347 | header = numpy.array(headerTuple,self.struct) |
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347 | 348 | header.tofile(fp) |
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348 | 349 | |
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349 | 350 | if self.numWindows != 0: |
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350 | 351 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) |
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351 | 352 | samplingWindow = numpy.array(sampleWindowTuple,self.structSamplingWindow) |
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352 | 353 | samplingWindow.tofile(fp) |
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353 | 354 | |
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354 | 355 | |
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355 | 356 | if self.totalSpectra != 0: |
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356 | 357 | spectraComb = numpy.array([],numpy.dtype('u1')) |
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357 | 358 | spectraComb = self.spectraComb |
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358 | 359 | spectraComb.tofile(fp) |
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359 | 360 | |
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360 | 361 | |
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361 | 362 | if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
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362 | 363 | numCode = self.numCode |
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363 | 364 | numCode.tofile(fp) |
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364 | 365 | |
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365 | 366 | numBaud = self.numBaud |
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366 | 367 | numBaud.tofile(fp) |
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367 | 368 | |
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368 | 369 | codes = self.codes.reshape(numCode*numBaud) |
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369 | 370 | codes.tofile(fp) |
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370 | 371 | |
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371 | 372 | return 1 |
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372 | 373 | |
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373 | 374 | |
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374 | 375 | class PROCFLAG: |
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375 | 376 | COHERENT_INTEGRATION = numpy.uint32(0x00000001) |
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376 | 377 | DECODE_DATA = numpy.uint32(0x00000002) |
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377 | 378 | SPECTRA_CALC = numpy.uint32(0x00000004) |
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378 | 379 | INCOHERENT_INTEGRATION = numpy.uint32(0x00000008) |
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379 | 380 | POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010) |
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380 | 381 | SHIFT_FFT_DATA = numpy.uint32(0x00000020) |
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381 | 382 | |
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382 | 383 | DATATYPE_CHAR = numpy.uint32(0x00000040) |
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383 | 384 | DATATYPE_SHORT = numpy.uint32(0x00000080) |
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384 | 385 | DATATYPE_LONG = numpy.uint32(0x00000100) |
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385 | 386 | DATATYPE_INT64 = numpy.uint32(0x00000200) |
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386 | 387 | DATATYPE_FLOAT = numpy.uint32(0x00000400) |
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387 | 388 | DATATYPE_DOUBLE = numpy.uint32(0x00000800) |
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388 | 389 | |
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389 | 390 | DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000) |
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390 | 391 | DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000) |
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391 | 392 | DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000) |
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392 | 393 | |
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393 | 394 | SAVE_CHANNELS_DC = numpy.uint32(0x00008000) |
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394 | 395 | DEFLIP_DATA = numpy.uint32(0x00010000) |
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395 | 396 | DEFINE_PROCESS_CODE = numpy.uint32(0x00020000) |
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396 | 397 | |
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397 | 398 | ACQ_SYS_NATALIA = numpy.uint32(0x00040000) |
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398 | 399 | ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000) |
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399 | 400 | ACQ_SYS_ADRXD = numpy.uint32(0x000C0000) |
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400 | 401 | ACQ_SYS_JULIA = numpy.uint32(0x00100000) |
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401 | 402 | ACQ_SYS_XXXXXX = numpy.uint32(0x00140000) |
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402 | 403 | |
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403 | 404 | EXP_NAME_ESP = numpy.uint32(0x00200000) |
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404 | 405 | CHANNEL_NAMES_ESP = numpy.uint32(0x00400000) |
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405 | 406 | |
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406 | 407 | OPERATION_MASK = numpy.uint32(0x0000003F) |
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407 | 408 | DATATYPE_MASK = numpy.uint32(0x00000FC0) |
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408 | 409 | DATAARRANGE_MASK = numpy.uint32(0x00007000) |
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409 | 410 | ACQ_SYS_MASK = numpy.uint32(0x001C0000) No newline at end of file |
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