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1 | import os, sys | |
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2 | import timeit | |
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3 | ||
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4 | path = os.path.split(os.getcwd())[0] | |
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5 | sys.path.append(path) | |
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6 | ||
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7 | from controller import * | |
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8 | ||
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9 | desc = "MST-ISR-EEJ Experiment Test" | |
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10 | filename = "mst_isr_eej_blocks.xml" | |
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11 | ||
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12 | controllerObj = Project() | |
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13 | ||
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14 | controllerObj.setup(id = '191', name='test01', description=desc) | |
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15 | ||
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16 | path='/remote/ewdrifts/RAW_EXP/EW_DRIFT_FARADAY/EW_Drift' | |
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17 | ||
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18 | path = '/media/administrator/New Volume/DATA/MST_ISR' | |
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19 | ||
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20 | path = '/home/administrator/Documents/mst_isr_eej' | |
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21 | ||
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22 | readUnitConfObj = controllerObj.addReadUnit(datatype='VoltageReader', | |
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23 | path=path, | |
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24 | startDate='2014/01/09', | |
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25 | endDate='2014/01/09', | |
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26 | startTime='00:00:00', | |
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27 | endTime='23:59:59', | |
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28 | online=0, | |
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29 | delay=10, | |
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30 | walk=0, | |
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31 | getblock=1) | |
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32 | ||
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33 | opObj11 = readUnitConfObj.addOperation(name='printNumberOfBlock') | |
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34 | # ################ EEJ #################################### | |
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35 | procUnitConfObjEEJ = controllerObj.addProcUnit(datatype='VoltageProc', inputId=readUnitConfObj.getId()) | |
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36 | ||
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37 | opObj11 = procUnitConfObjEEJ.addOperation(name='ProfileSelector', optype='other') | |
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38 | opObj11.addParameter(name='profileRangeList', value='120,183', format='intlist') | |
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39 | opObj11.addParameter(name='byblock', value='1', format='bool') | |
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40 | ||
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41 | opObj11 = procUnitConfObjEEJ.addOperation(name='Decoder', optype='other') | |
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42 | opObj11.addParameter(name='code', value='1,-1', format='floatlist') | |
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43 | opObj11.addParameter(name='nCode', value='2', format='int') | |
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44 | opObj11.addParameter(name='nBaud', value='1', format='int') | |
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45 | opObj11.addParameter(name='mode', value='3', format='int') | |
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46 | opObj11.addParameter(name='times', value='32', format='int') | |
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47 | ||
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48 | # opObj11 = procUnitConfObjEEJ.addOperation(name='CohInt', optype='other') | |
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49 | # opObj11.addParameter(name='n', value='2', format='int') | |
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50 | ||
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51 | procUnitConfObjEEJSpecta = controllerObj.addProcUnit(datatype='SpectraProc', inputId=procUnitConfObjEEJ.getId()) | |
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52 | procUnitConfObjEEJSpecta.addParameter(name='nFFTPoints', value='64', format='int') | |
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53 | procUnitConfObjEEJSpecta.addParameter(name='nProfiles', value='64', format='int') | |
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54 | ||
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55 | opObj11 = procUnitConfObjEEJSpecta.addOperation(name='IncohInt', optype='other') | |
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56 | #opObj11.addParameter(name='timeInterval', value='10', format='float') | |
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57 | opObj11.addParameter(name='n', value='36', format='float') | |
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58 | ||
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59 | opObj11 = procUnitConfObjEEJSpecta.addOperation(name='SpectraPlot', optype='other') | |
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60 | opObj11.addParameter(name='id', value='100', format='int') | |
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61 | opObj11.addParameter(name='wintitle', value='EEJ', format='str') | |
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62 | # opObj11.addParameter(name='zmin', value='20', format='int') | |
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63 | # opObj11.addParameter(name='zmax', value='60', format='int')# opObj11.addParameter(name='ftp', value='1', format='int') | |
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64 | # opObj11.addParameter(name='save', value='1', format='int') | |
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65 | # opObj11.addParameter(name='figpath', value='/home/operaciones/Pictures/MST-ISR', format='str') | |
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66 | # opObj11.addParameter(name='wr_period', value='15', format='int') | |
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67 | # opObj11.addParameter(name='ftp', value='1', format='int') | |
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68 | # opObj11.addParameter(name='server', value='jro-app.igp.gob.pe', format='str') | |
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69 | # opObj11.addParameter(name='folder', value='/home/wmaster/graficos', format='str') | |
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70 | # opObj11.addParameter(name='username', value='wmaster', format='str') | |
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71 | # opObj11.addParameter(name='password', value='mst2010vhf', format='str') | |
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72 | # opObj11.addParameter(name='ftp_wei', value='0', format='int') | |
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73 | # opObj11.addParameter(name='exp_code', value='22', format='int') | |
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74 | # opObj11.addParameter(name='sub_exp_code', value='0', format='int') | |
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75 | # opObj11.addParameter(name='plot_pos', value='0', format='int') | |
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76 | ||
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77 | ||
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78 | # opObj11 = procUnitConfObjEEJSpecta.addOperation(name='RTIPlot', optype='other') | |
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79 | # opObj11.addParameter(name='id', value='101', format='int') | |
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80 | # opObj11.addParameter(name='wintitle', value='EEJ', format='str') | |
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81 | # opObj11.addParameter(name='showprofile', value='0', format='int') | |
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82 | # opObj11.addParameter(name='xmin', value='0', format='int') | |
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83 | # opObj11.addParameter(name='xmax', value='24', format='int') | |
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84 | # opObj11.addParameter(name='save', value='1', format='int') | |
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85 | # opObj11.addParameter(name='figpath', value='/home/operaciones/Pictures/MST-ISR', format='str') | |
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86 | # opObj11.addParameter(name='wr_period', value='15', format='int') | |
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87 | # opObj11.addParameter(name='ftp', value='1', format='int') | |
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88 | # opObj11.addParameter(name='server', value='jro-app.igp.gob.pe', format='str') | |
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89 | # opObj11.addParameter(name='folder', value='/home/wmaster/graficos', format='str') | |
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90 | # opObj11.addParameter(name='username', value='wmaster', format='str') | |
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91 | # opObj11.addParameter(name='password', value='mst2010vhf', format='str') | |
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92 | # opObj11.addParameter(name='ftp_wei', value='0', format='int') | |
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93 | # opObj11.addParameter(name='exp_code', value='22', format='int') | |
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94 | # opObj11.addParameter(name='sub_exp_code', value='0', format='int') | |
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95 | # opObj11.addParameter(name='plot_pos', value='0', format='int') | |
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96 | ||
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97 | ################ MST #################################### | |
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98 | procUnitConfObjMST = controllerObj.addProcUnit(datatype='VoltageProc', inputId=readUnitConfObj.getId()) | |
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99 | ||
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100 | opObj11 = procUnitConfObjMST.addOperation(name='ProfileSelector', optype='other') | |
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101 | profileIndex = '0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119' | |
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102 | #profileIndex = '0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19' | |
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103 | opObj11.addParameter(name='profileList', value=profileIndex, format='intlist') | |
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104 | opObj11.addParameter(name='byblock', value='1', format='bool') | |
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105 | ||
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106 | opObj11 = procUnitConfObjMST.addOperation(name='Decoder', optype='other') | |
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107 | opObj11.addParameter(name='mode',value='3',format='int') | |
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108 | opObj11.addParameter(name='times',value='10',format='int') | |
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109 | ||
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110 | opObj11 = procUnitConfObjMST.addOperation(name='CohInt', optype='other') | |
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111 | opObj11.addParameter(name='n', value='20', format='int') | |
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112 | opObj11.addParameter(name='byblock', value='1', format='bool') | |
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113 | ||
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114 | procUnitConfObjMSTSpectra = controllerObj.addProcUnit(datatype='SpectraProc', inputId=procUnitConfObjMST.getId()) | |
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115 | procUnitConfObjMSTSpectra.addParameter(name='nFFTPoints', value='64', format='int') | |
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116 | procUnitConfObjMSTSpectra.addParameter(name='nProfiles', value='64', format='int') | |
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117 | ||
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118 | opObj11 = procUnitConfObjMSTSpectra.addOperation(name='IncohInt', optype='other') | |
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119 | opObj11.addParameter(name='n', value='2', format='float') | |
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120 | ||
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121 | opObj11 = procUnitConfObjMSTSpectra.addOperation(name='SpectraPlot', optype='other') | |
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122 | opObj11.addParameter(name='id', value='200', format='int') | |
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123 | opObj11.addParameter(name='wintitle', value='MST', format='str') | |
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124 | # opObj11.addParameter(name='zmin', value='35', format='int') | |
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125 | # opObj11.addParameter(name='zmax', value='60', format='int') | |
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126 | # opObj11.addParameter(name='save', value='1', format='int') | |
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127 | # opObj11.addParameter(name='figpath', value='/home/operaciones/Pictures/MST-ISR', format='str') | |
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128 | # opObj11.addParameter(name='wr_period', value='5', format='int') | |
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129 | # opObj11.addParameter(name='ftp', value='1', format='int') | |
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130 | # opObj11.addParameter(name='server', value='jro-app.igp.gob.pe', format='str') | |
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131 | # opObj11.addParameter(name='folder', value='/home/wmaster/graficos', format='str') | |
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132 | # opObj11.addParameter(name='username', value='wmaster', format='str') | |
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133 | # opObj11.addParameter(name='password', value='mst2010vhf', format='str') | |
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134 | # opObj11.addParameter(name='ftp_wei', value='0', format='int') | |
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135 | # opObj11.addParameter(name='exp_code', value='19', format='int') | |
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136 | # opObj11.addParameter(name='sub_exp_code', value='0', format='int') | |
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137 | # opObj11.addParameter(name='plot_pos', value='0', format='int') | |
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138 | # | |
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139 | # opObj11 = procUnitConfObjMSTSpectra.addOperation(name='RTIPlot', optype='other') | |
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140 | # opObj11.addParameter(name='id', value='201', format='int') | |
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141 | # opObj11.addParameter(name='wintitle', value='MST', format='str') | |
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142 | # opObj11.addParameter(name='showprofile', value='0', format='int') | |
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143 | # opObj11.addParameter(name='xmin', value='0', format='int') | |
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144 | # opObj11.addParameter(name='xmax', value='24', format='int') | |
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145 | # opObj11.addParameter(name='zmin', value='35', format='int') | |
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146 | # opObj11.addParameter(name='zmax', value='60', format='int') | |
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147 | # opObj11.addParameter(name='save', value='1', format='int') | |
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148 | # opObj11.addParameter(name='figpath', value='/home/operaciones/Pictures/MST-ISR', format='str') | |
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149 | # opObj11.addParameter(name='wr_period', value='5', format='int') | |
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150 | # opObj11.addParameter(name='ftp', value='1', format='int') | |
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151 | # opObj11.addParameter(name='server', value='jro-app.igp.gob.pe', format='str') | |
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152 | # opObj11.addParameter(name='folder', value='/home/wmaster/graficos', format='str') | |
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153 | # opObj11.addParameter(name='username', value='wmaster', format='str') | |
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154 | # opObj11.addParameter(name='password', value='mst2010vhf', format='str') | |
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155 | # opObj11.addParameter(name='ftp_wei', value='0', format='int') | |
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156 | # opObj11.addParameter(name='exp_code', value='19', format='int') | |
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157 | # opObj11.addParameter(name='sub_exp_code', value='0', format='int') | |
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158 | # opObj11.addParameter(name='plot_pos', value='0', format='int') | |
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159 | ||
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160 | # ################ ISR #################################### | |
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161 | procUnitConfObjISR = controllerObj.addProcUnit(datatype='VoltageProc', inputId=readUnitConfObj.getId()) | |
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162 | ||
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163 | opObj11 = procUnitConfObjISR.addOperation(name='ProfileSelector', optype='other') | |
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164 | # profileIndex = '20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99' | |
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165 | # opObj11.addParameter(name='profileList', value=profileIndex, format='intlist') | |
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166 | opObj11.addParameter(name='profileRangeList', value='20,99', format='intlist') | |
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167 | opObj11.addParameter(name='byblock', value='1', format='bool') | |
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168 | ||
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169 | # opObj11 = procUnitConfObjISR.addOperation(name='ProfileConcat', optype='other') | |
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170 | # opObj11.addParameter(name='m', value='5', format='int') | |
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171 | ||
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172 | opObj11 = procUnitConfObjISR.addOperation(name='Reshaper', optype='other') #Esta Operacion opera sobre bloques y reemplaza el ProfileConcat que opera sobre perfiles | |
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173 | opObj11.addParameter(name='shape', value='4,16,6750', format='intlist') | |
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174 | ||
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175 | opObj11 = procUnitConfObjISR.addOperation(name='filterByHeights') | |
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176 | opObj11.addParameter(name='window', value='20', format='int') | |
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177 | opObj11.addParameter(name='axis', value='2', format='int') | |
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178 | ||
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179 | barker3x1 = '1,1,-1,-1,-1,1' | |
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180 | #barker3x5 = '1,1,1,1,1, 1,1,1,1,1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,1,1,1,1,1' | |
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181 | ||
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182 | opObj11 = procUnitConfObjISR.addOperation(name='Decoder', optype='other') | |
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183 | opObj11.addParameter(name='code', value=barker3x1, format='floatlist') | |
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184 | opObj11.addParameter(name='nCode', value='2', format='int') | |
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185 | #opObj11.addParameter(name='nBaud', value='15', format='int') | |
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186 | opObj11.addParameter(name='nBaud', value='3', format='int') | |
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187 | opObj11.addParameter(name='mode', value='3', format='int') | |
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188 | opObj11.addParameter(name='times', value='8', format='int') | |
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189 | opObj11.addParameter(name='osamp', value='5', format='int') | |
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190 | ||
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191 | ||
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192 | procUnitConfObjISRSpectra = controllerObj.addProcUnit(datatype='SpectraProc', inputId=procUnitConfObjISR.getId()) | |
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193 | procUnitConfObjISRSpectra.addParameter(name='nFFTPoints', value='16', format='int') | |
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194 | procUnitConfObjISRSpectra.addParameter(name='nProfiles', value='16', format='int') | |
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195 | ||
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196 | opObj11 = procUnitConfObjISRSpectra.addOperation(name='IncohInt', optype='other') | |
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197 | opObj11.addParameter(name='n', value='36', format='float') | |
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198 | ||
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199 | opObj11 = procUnitConfObjISRSpectra.addOperation(name='SpectraPlot', optype='other') | |
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200 | opObj11.addParameter(name='id', value='300', format='int') | |
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201 | opObj11.addParameter(name='wintitle', value='ISR', format='str') | |
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202 | # opObj11.addParameter(name='save', value='1', format='bool') | |
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203 | # opObj11.addParameter(name='figpath', value='/home/administrator/Pictures/mst_isr_eej', format='str') | |
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204 | ||
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205 | ||
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206 | print "Escribiendo el archivo XML" | |
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207 | controllerObj.writeXml(filename) | |
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208 | print "Leyendo el archivo XML" | |
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209 | controllerObj.readXml(filename) | |
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210 | ||
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211 | controllerObj.createObjects() | |
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212 | controllerObj.connectObjects() | |
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213 | ||
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214 | #timeit.timeit('controllerObj.run()', number=2) | |
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215 | ||
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216 | controllerObj.run() | |
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217 | #print fib(5) No newline at end of file | |
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1 | 1 | ''' |
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2 | 2 | |
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3 | 3 | ''' |
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4 | 4 | import os |
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5 | 5 | import sys |
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6 | 6 | import glob |
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7 | 7 | import time |
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8 | 8 | import numpy |
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9 | 9 | import fnmatch |
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10 | 10 | import time, datetime |
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11 | 11 | #import h5py |
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12 | 12 | import traceback |
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13 | 13 | |
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14 | 14 | #try: |
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15 | 15 | # import pyfits |
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16 | 16 | #except: |
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17 | 17 | # print "pyfits module has not been imported, it should be installed to save files in fits format" |
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18 | 18 | |
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19 | 19 | #from jrodata import * |
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20 | 20 | #from jroheaderIO import * |
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21 | 21 | #from jroprocessing import * |
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22 | 22 | |
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23 | 23 | #import re |
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24 | 24 | #from xml.etree.ElementTree import Element, SubElement, ElementTree |
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25 | 25 | |
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26 | 26 | |
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27 | 27 | LOCALTIME = True #-18000 |
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28 | 28 | |
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29 | 29 | from model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
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30 | 30 | |
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31 | 31 | def isNumber(str): |
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32 | 32 | """ |
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33 | 33 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
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34 | 34 | |
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35 | 35 | Excepciones: |
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36 | 36 | Si un determinado string no puede ser convertido a numero |
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37 | 37 | Input: |
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38 | 38 | str, string al cual se le analiza para determinar si convertible a un numero o no |
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39 | 39 | |
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40 | 40 | Return: |
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41 | 41 | True : si el string es uno numerico |
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42 | 42 | False : no es un string numerico |
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43 | 43 | """ |
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44 | 44 | try: |
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45 | 45 | float( str ) |
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46 | 46 | return True |
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47 | 47 | except: |
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48 | 48 | return False |
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49 | 49 | |
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50 | 50 | def isThisFileinRange(filename, startUTSeconds, endUTSeconds): |
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51 | 51 | """ |
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52 | 52 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
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53 | 53 | |
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54 | 54 | Inputs: |
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55 | 55 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
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56 | 56 | |
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57 | 57 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
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58 | 58 | segundos contados desde 01/01/1970. |
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59 | 59 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
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60 | 60 | segundos contados desde 01/01/1970. |
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61 | 61 | |
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62 | 62 | Return: |
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63 | 63 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
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64 | 64 | fecha especificado, de lo contrario retorna False. |
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65 | 65 | |
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66 | 66 | Excepciones: |
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67 | 67 | Si el archivo no existe o no puede ser abierto |
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68 | 68 | Si la cabecera no puede ser leida. |
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69 | 69 | |
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70 | 70 | """ |
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71 | 71 | basicHeaderObj = BasicHeader(LOCALTIME) |
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72 | 72 | |
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73 | 73 | try: |
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74 | 74 | fp = open(filename,'rb') |
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75 | 75 | except IOError: |
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76 | 76 | traceback.print_exc() |
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77 | 77 | raise IOError, "The file %s can't be opened" %(filename) |
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78 | 78 | |
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79 | 79 | sts = basicHeaderObj.read(fp) |
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80 | 80 | fp.close() |
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81 | 81 | |
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82 | 82 | if not(sts): |
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83 | 83 | print "Skipping the file %s because it has not a valid header" %(filename) |
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84 | 84 | return 0 |
|
|
85 | 85 | |
|
|
86 | 86 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
87 | 87 | return 0 |
|
|
88 | 88 | |
|
|
89 | 89 | return 1 |
|
|
90 | 90 | |
|
|
91 | 91 | def isFileinThisTime(filename, startTime, endTime): |
|
|
92 | 92 | """ |
|
|
93 | 93 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
94 | 94 | |
|
|
95 | 95 | Inputs: |
|
|
96 | 96 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
97 | 97 | |
|
|
98 | 98 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
99 | 99 | |
|
|
100 | 100 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
101 | 101 | |
|
|
102 | 102 | Return: |
|
|
103 | 103 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
104 | 104 | fecha especificado, de lo contrario retorna False. |
|
|
105 | 105 | |
|
|
106 | 106 | Excepciones: |
|
|
107 | 107 | Si el archivo no existe o no puede ser abierto |
|
|
108 | 108 | Si la cabecera no puede ser leida. |
|
|
109 | 109 | |
|
|
110 | 110 | """ |
|
|
111 | 111 | |
|
|
112 | 112 | |
|
|
113 | 113 | try: |
|
|
114 | 114 | fp = open(filename,'rb') |
|
|
115 | 115 | except IOError: |
|
|
116 | 116 | traceback.print_exc() |
|
|
117 | 117 | raise IOError, "The file %s can't be opened" %(filename) |
|
|
118 | 118 | |
|
|
119 | 119 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
120 | 120 | sts = basicHeaderObj.read(fp) |
|
|
121 | 121 | fp.close() |
|
|
122 | 122 | |
|
|
123 | 123 | thisDatetime = basicHeaderObj.datatime |
|
|
124 | 124 | thisTime = thisDatetime.time() |
|
|
125 | 125 | |
|
|
126 | 126 | if not(sts): |
|
|
127 | 127 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|
128 | 128 | return None |
|
|
129 | 129 | |
|
|
130 | 130 | if not ((startTime <= thisTime) and (endTime > thisTime)): |
|
|
131 | 131 | return None |
|
|
132 | 132 | |
|
|
133 | 133 | return thisDatetime |
|
|
134 | 134 | |
|
|
135 | 135 | def getFileFromSet(path, ext, set): |
|
|
136 | 136 | validFilelist = [] |
|
|
137 | 137 | fileList = os.listdir(path) |
|
|
138 | 138 | |
|
|
139 | 139 | # 0 1234 567 89A BCDE |
|
|
140 | 140 | # H YYYY DDD SSS .ext |
|
|
141 | 141 | |
|
|
142 | 142 | for thisFile in fileList: |
|
|
143 | 143 | try: |
|
|
144 | 144 | year = int(thisFile[1:5]) |
|
|
145 | 145 | doy = int(thisFile[5:8]) |
|
|
146 | 146 | except: |
|
|
147 | 147 | continue |
|
|
148 | 148 | |
|
|
149 | 149 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
150 | 150 | continue |
|
|
151 | 151 | |
|
|
152 | 152 | validFilelist.append(thisFile) |
|
|
153 | 153 | |
|
|
154 | 154 | myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set)) |
|
|
155 | 155 | |
|
|
156 | 156 | if len(myfile)!= 0: |
|
|
157 | 157 | return myfile[0] |
|
|
158 | 158 | else: |
|
|
159 | 159 | filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower()) |
|
|
160 | 160 | print 'the filename %s does not exist'%filename |
|
|
161 | 161 | print '...going to the last file: ' |
|
|
162 | 162 | |
|
|
163 | 163 | if validFilelist: |
|
|
164 | 164 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
165 | 165 | return validFilelist[-1] |
|
|
166 | 166 | |
|
|
167 | 167 | return None |
|
|
168 | 168 | |
|
|
169 | 169 | def getlastFileFromPath(path, ext): |
|
|
170 | 170 | """ |
|
|
171 | 171 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
172 | 172 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
173 | 173 | |
|
|
174 | 174 | Input: |
|
|
175 | 175 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
176 | 176 | ext : extension de los files contenidos en una carpeta |
|
|
177 | 177 | |
|
|
178 | 178 | Return: |
|
|
179 | 179 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
180 | 180 | """ |
|
|
181 | 181 | validFilelist = [] |
|
|
182 | 182 | fileList = os.listdir(path) |
|
|
183 | 183 | |
|
|
184 | 184 | # 0 1234 567 89A BCDE |
|
|
185 | 185 | # H YYYY DDD SSS .ext |
|
|
186 | 186 | |
|
|
187 | 187 | for thisFile in fileList: |
|
|
188 | 188 | |
|
|
189 | 189 | year = thisFile[1:5] |
|
|
190 | 190 | if not isNumber(year): |
|
|
191 | 191 | continue |
|
|
192 | 192 | |
|
|
193 | 193 | doy = thisFile[5:8] |
|
|
194 | 194 | if not isNumber(doy): |
|
|
195 | 195 | continue |
|
|
196 | 196 | |
|
|
197 | 197 | year = int(year) |
|
|
198 | 198 | doy = int(doy) |
|
|
199 | 199 | |
|
|
200 | 200 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
201 | 201 | continue |
|
|
202 | 202 | |
|
|
203 | 203 | validFilelist.append(thisFile) |
|
|
204 | 204 | |
|
|
205 | 205 | if validFilelist: |
|
|
206 | 206 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
207 | 207 | return validFilelist[-1] |
|
|
208 | 208 | |
|
|
209 | 209 | return None |
|
|
210 | 210 | |
|
|
211 | 211 | def checkForRealPath(path, foldercounter, year, doy, set, ext): |
|
|
212 | 212 | """ |
|
|
213 | 213 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
|
214 | 214 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
|
215 | 215 | el path exacto de un determinado file. |
|
|
216 | 216 | |
|
|
217 | 217 | Example : |
|
|
218 | 218 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
219 | 219 | |
|
|
220 | 220 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
221 | 221 | .../.../y2009307367.ext |
|
|
222 | 222 | .../.../Y2009307367.ext |
|
|
223 | 223 | .../.../x2009307/y2009307367.ext |
|
|
224 | 224 | .../.../x2009307/Y2009307367.ext |
|
|
225 | 225 | .../.../X2009307/y2009307367.ext |
|
|
226 | 226 | .../.../X2009307/Y2009307367.ext |
|
|
227 | 227 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
228 | 228 | |
|
|
229 | 229 | Return: |
|
|
230 | 230 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
|
231 | 231 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
|
232 | 232 | para el filename |
|
|
233 | 233 | """ |
|
|
234 | 234 | fullfilename = None |
|
|
235 | 235 | find_flag = False |
|
|
236 | 236 | filename = None |
|
|
237 | 237 | |
|
|
238 | 238 | prefixDirList = [None,'d','D'] |
|
|
239 | 239 | if ext.lower() == ".r": #voltage |
|
|
240 | 240 | prefixFileList = ['d','D'] |
|
|
241 | 241 | elif ext.lower() == ".pdata": #spectra |
|
|
242 | 242 | prefixFileList = ['p','P'] |
|
|
243 | 243 | else: |
|
|
244 | 244 | return None, filename |
|
|
245 | 245 | |
|
|
246 | 246 | #barrido por las combinaciones posibles |
|
|
247 | 247 | for prefixDir in prefixDirList: |
|
|
248 | 248 | thispath = path |
|
|
249 | 249 | if prefixDir != None: |
|
|
250 | 250 | #formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
251 | 251 | if foldercounter == 0: |
|
|
252 | 252 | thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy )) |
|
|
253 | 253 | else: |
|
|
254 | 254 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter)) |
|
|
255 | 255 | for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D" |
|
|
256 | 256 | filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext |
|
|
257 | 257 | fullfilename = os.path.join( thispath, filename ) #formo el path completo |
|
|
258 | 258 | |
|
|
259 | 259 | if os.path.exists( fullfilename ): #verifico que exista |
|
|
260 | 260 | find_flag = True |
|
|
261 | 261 | break |
|
|
262 | 262 | if find_flag: |
|
|
263 | 263 | break |
|
|
264 | 264 | |
|
|
265 | 265 | if not(find_flag): |
|
|
266 | 266 | return None, filename |
|
|
267 | 267 | |
|
|
268 | 268 | return fullfilename, filename |
|
|
269 | 269 | |
|
|
270 | 270 | def isDoyFolder(folder): |
|
|
271 | 271 | try: |
|
|
272 | 272 | year = int(folder[1:5]) |
|
|
273 | 273 | except: |
|
|
274 | 274 | return 0 |
|
|
275 | 275 | |
|
|
276 | 276 | try: |
|
|
277 | 277 | doy = int(folder[5:8]) |
|
|
278 | 278 | except: |
|
|
279 | 279 | return 0 |
|
|
280 | 280 | |
|
|
281 | 281 | return 1 |
|
|
282 | 282 | |
|
|
283 | 283 | class JRODataIO: |
|
|
284 | 284 | |
|
|
285 | 285 | c = 3E8 |
|
|
286 | 286 | |
|
|
287 | 287 | isConfig = False |
|
|
288 | 288 | |
|
|
289 | 289 | basicHeaderObj = None |
|
|
290 | 290 | |
|
|
291 | 291 | systemHeaderObj = None |
|
|
292 | 292 | |
|
|
293 | 293 | radarControllerHeaderObj = None |
|
|
294 | 294 | |
|
|
295 | 295 | processingHeaderObj = None |
|
|
296 | 296 | |
|
|
297 | 297 | online = 0 |
|
|
298 | 298 | |
|
|
299 | 299 | dtype = None |
|
|
300 | 300 | |
|
|
301 | 301 | pathList = [] |
|
|
302 | 302 | |
|
|
303 | 303 | filenameList = [] |
|
|
304 | 304 | |
|
|
305 | 305 | filename = None |
|
|
306 | 306 | |
|
|
307 | 307 | ext = None |
|
|
308 | 308 | |
|
|
309 | 309 | flagIsNewFile = 1 |
|
|
310 | 310 | |
|
|
311 | 311 | flagTimeBlock = 0 |
|
|
312 | 312 | |
|
|
313 | 313 | flagIsNewBlock = 0 |
|
|
314 | 314 | |
|
|
315 | 315 | fp = None |
|
|
316 | 316 | |
|
|
317 | 317 | firstHeaderSize = 0 |
|
|
318 | 318 | |
|
|
319 | 319 | basicHeaderSize = 24 |
|
|
320 | 320 | |
|
|
321 | 321 | versionFile = 1103 |
|
|
322 | 322 | |
|
|
323 | 323 | fileSize = None |
|
|
324 | 324 | |
|
|
325 | 325 | # ippSeconds = None |
|
|
326 | 326 | |
|
|
327 | 327 | fileSizeByHeader = None |
|
|
328 | 328 | |
|
|
329 | 329 | fileIndex = None |
|
|
330 | 330 | |
|
|
331 | 331 | profileIndex = None |
|
|
332 | 332 | |
|
|
333 | 333 | blockIndex = None |
|
|
334 | 334 | |
|
|
335 | 335 | nTotalBlocks = None |
|
|
336 | 336 | |
|
|
337 | 337 | maxTimeStep = 30 |
|
|
338 | 338 | |
|
|
339 | 339 | lastUTTime = None |
|
|
340 | 340 | |
|
|
341 | 341 | datablock = None |
|
|
342 | 342 | |
|
|
343 | 343 | dataOut = None |
|
|
344 | 344 | |
|
|
345 | 345 | blocksize = None |
|
|
346 | 346 | |
|
|
347 | getblock = False | |
|
|
348 | ||
|
|
347 | 349 | def __init__(self): |
|
|
348 | 350 | |
|
|
349 | 351 | raise ValueError, "Not implemented" |
|
|
350 | 352 | |
|
|
351 | 353 | def run(self): |
|
|
352 | 354 | |
|
|
353 | 355 | raise ValueError, "Not implemented" |
|
|
354 | 356 | |
|
|
355 | 357 | class JRODataReader(JRODataIO): |
|
|
356 | 358 | |
|
|
357 | 359 | nReadBlocks = 0 |
|
|
358 | 360 | |
|
|
359 | 361 | delay = 10 #number of seconds waiting a new file |
|
|
360 | 362 | |
|
|
361 | 363 | nTries = 3 #quantity tries |
|
|
362 | 364 | |
|
|
363 | 365 | nFiles = 3 #number of files for searching |
|
|
364 | 366 | |
|
|
365 | 367 | path = None |
|
|
366 | 368 | |
|
|
367 | 369 | foldercounter = 0 |
|
|
368 | 370 | |
|
|
369 | 371 | flagNoMoreFiles = 0 |
|
|
370 | 372 | |
|
|
371 | 373 | datetimeList = [] |
|
|
372 | 374 | |
|
|
373 | 375 | __isFirstTimeOnline = 1 |
|
|
374 | 376 | |
|
|
375 | 377 | __printInfo = True |
|
|
376 | 378 | |
|
|
377 | 379 | profileIndex = None |
|
|
378 | 380 | |
|
|
379 | 381 | def __init__(self): |
|
|
380 | 382 | |
|
|
381 | 383 | """ |
|
|
382 | 384 | |
|
|
383 | 385 | """ |
|
|
384 | 386 | |
|
|
385 | 387 | raise ValueError, "This method has not been implemented" |
|
|
386 | 388 | |
|
|
387 | 389 | |
|
|
388 | 390 | def createObjByDefault(self): |
|
|
389 | 391 | """ |
|
|
390 | 392 | |
|
|
391 | 393 | """ |
|
|
392 | 394 | raise ValueError, "This method has not been implemented" |
|
|
393 | 395 | |
|
|
394 | 396 | def getBlockDimension(self): |
|
|
395 | 397 | |
|
|
396 | 398 | raise ValueError, "No implemented" |
|
|
397 | 399 | |
|
|
398 | 400 | def __searchFilesOffLine(self, |
|
|
399 | 401 | path, |
|
|
400 | 402 | startDate, |
|
|
401 | 403 | endDate, |
|
|
402 | 404 | startTime=datetime.time(0,0,0), |
|
|
403 | 405 | endTime=datetime.time(23,59,59), |
|
|
404 | 406 | set=None, |
|
|
405 | 407 | expLabel='', |
|
|
406 | 408 | ext='.r', |
|
|
407 | 409 | walk=True): |
|
|
408 | 410 | |
|
|
409 | 411 | pathList = [] |
|
|
410 | 412 | |
|
|
411 | 413 | if not walk: |
|
|
412 | 414 | #pathList.append(path) |
|
|
413 | 415 | multi_path = path.split(',') |
|
|
414 | 416 | for single_path in multi_path: |
|
|
415 | 417 | pathList.append(single_path) |
|
|
416 | 418 | |
|
|
417 | 419 | else: |
|
|
418 | 420 | #dirList = [] |
|
|
419 | 421 | multi_path = path.split(',') |
|
|
420 | 422 | for single_path in multi_path: |
|
|
421 | 423 | dirList = [] |
|
|
422 | 424 | for thisPath in os.listdir(single_path): |
|
|
423 | 425 | if not os.path.isdir(os.path.join(single_path,thisPath)): |
|
|
424 | 426 | continue |
|
|
425 | 427 | if not isDoyFolder(thisPath): |
|
|
426 | 428 | continue |
|
|
427 | 429 | |
|
|
428 | 430 | dirList.append(thisPath) |
|
|
429 | 431 | |
|
|
430 | 432 | if not(dirList): |
|
|
431 | 433 | return None, None |
|
|
432 | 434 | |
|
|
433 | 435 | thisDate = startDate |
|
|
434 | 436 | |
|
|
435 | 437 | while(thisDate <= endDate): |
|
|
436 | 438 | year = thisDate.timetuple().tm_year |
|
|
437 | 439 | doy = thisDate.timetuple().tm_yday |
|
|
438 | 440 | |
|
|
439 | 441 | matchlist = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy) + '*') |
|
|
440 | 442 | if len(matchlist) == 0: |
|
|
441 | 443 | thisDate += datetime.timedelta(1) |
|
|
442 | 444 | continue |
|
|
443 | 445 | for match in matchlist: |
|
|
444 | 446 | pathList.append(os.path.join(single_path,match,expLabel)) |
|
|
445 | 447 | |
|
|
446 | 448 | thisDate += datetime.timedelta(1) |
|
|
447 | 449 | |
|
|
448 | 450 | if pathList == []: |
|
|
449 | 451 | print "Any folder was found for the date range: %s-%s" %(startDate, endDate) |
|
|
450 | 452 | return None, None |
|
|
451 | 453 | |
|
|
452 | 454 | print "%d folder(s) was(were) found for the date range: %s - %s" %(len(pathList), startDate, endDate) |
|
|
453 | 455 | |
|
|
454 | 456 | filenameList = [] |
|
|
455 | 457 | datetimeList = [] |
|
|
456 | 458 | pathDict = {} |
|
|
457 | 459 | filenameList_to_sort = [] |
|
|
458 | 460 | |
|
|
459 | 461 | for i in range(len(pathList)): |
|
|
460 | 462 | |
|
|
461 | 463 | thisPath = pathList[i] |
|
|
462 | 464 | |
|
|
463 | 465 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
464 | 466 | fileList.sort() |
|
|
465 | 467 | pathDict.setdefault(fileList[0]) |
|
|
466 | 468 | pathDict[fileList[0]] = i |
|
|
467 | 469 | filenameList_to_sort.append(fileList[0]) |
|
|
468 | 470 | |
|
|
469 | 471 | filenameList_to_sort.sort() |
|
|
470 | 472 | |
|
|
471 | 473 | for file in filenameList_to_sort: |
|
|
472 | 474 | thisPath = pathList[pathDict[file]] |
|
|
473 | 475 | |
|
|
474 | 476 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
475 | 477 | fileList.sort() |
|
|
476 | 478 | |
|
|
477 | 479 | for file in fileList: |
|
|
478 | 480 | |
|
|
479 | 481 | filename = os.path.join(thisPath,file) |
|
|
480 | 482 | thisDatetime = isFileinThisTime(filename, startTime, endTime) |
|
|
481 | 483 | |
|
|
482 | 484 | if not(thisDatetime): |
|
|
483 | 485 | continue |
|
|
484 | 486 | |
|
|
485 | 487 | filenameList.append(filename) |
|
|
486 | 488 | datetimeList.append(thisDatetime) |
|
|
487 | 489 | |
|
|
488 | 490 | if not(filenameList): |
|
|
489 | 491 | print "Any file was found for the time range %s - %s" %(startTime, endTime) |
|
|
490 | 492 | return None, None |
|
|
491 | 493 | |
|
|
492 | 494 | print "%d file(s) was(were) found for the time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
|
493 | 495 | |
|
|
494 | 496 | |
|
|
495 | 497 | for i in range(len(filenameList)): |
|
|
496 | 498 | print "%s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|
497 | 499 | |
|
|
498 | 500 | self.filenameList = filenameList |
|
|
499 | 501 | self.datetimeList = datetimeList |
|
|
500 | 502 | |
|
|
501 | 503 | return pathList, filenameList |
|
|
502 | 504 | |
|
|
503 | 505 | def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None): |
|
|
504 | 506 | |
|
|
505 | 507 | """ |
|
|
506 | 508 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
507 | 509 | devuelve el archivo encontrado ademas de otros datos. |
|
|
508 | 510 | |
|
|
509 | 511 | Input: |
|
|
510 | 512 | path : carpeta donde estan contenidos los files que contiene data |
|
|
511 | 513 | |
|
|
512 | 514 | expLabel : Nombre del subexperimento (subfolder) |
|
|
513 | 515 | |
|
|
514 | 516 | ext : extension de los files |
|
|
515 | 517 | |
|
|
516 | 518 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
517 | 519 | |
|
|
518 | 520 | Return: |
|
|
519 | 521 | directory : eL directorio donde esta el file encontrado |
|
|
520 | 522 | filename : el ultimo file de una determinada carpeta |
|
|
521 | 523 | year : el anho |
|
|
522 | 524 | doy : el numero de dia del anho |
|
|
523 | 525 | set : el set del archivo |
|
|
524 | 526 | |
|
|
525 | 527 | |
|
|
526 | 528 | """ |
|
|
527 | 529 | dirList = [] |
|
|
528 | 530 | |
|
|
529 | 531 | if not walk: |
|
|
530 | 532 | fullpath = path |
|
|
531 | 533 | foldercounter = 0 |
|
|
532 | 534 | else: |
|
|
533 | 535 | #Filtra solo los directorios |
|
|
534 | 536 | for thisPath in os.listdir(path): |
|
|
535 | 537 | if not os.path.isdir(os.path.join(path,thisPath)): |
|
|
536 | 538 | continue |
|
|
537 | 539 | if not isDoyFolder(thisPath): |
|
|
538 | 540 | continue |
|
|
539 | 541 | |
|
|
540 | 542 | dirList.append(thisPath) |
|
|
541 | 543 | |
|
|
542 | 544 | if not(dirList): |
|
|
543 | 545 | return None, None, None, None, None, None |
|
|
544 | 546 | |
|
|
545 | 547 | dirList = sorted( dirList, key=str.lower ) |
|
|
546 | 548 | |
|
|
547 | 549 | doypath = dirList[-1] |
|
|
548 | 550 | foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0 |
|
|
549 | 551 | fullpath = os.path.join(path, doypath, expLabel) |
|
|
550 | 552 | |
|
|
551 | 553 | |
|
|
552 | 554 | print "%s folder was found: " %(fullpath ) |
|
|
553 | 555 | |
|
|
554 | 556 | if set == None: |
|
|
555 | 557 | filename = getlastFileFromPath(fullpath, ext) |
|
|
556 | 558 | else: |
|
|
557 | 559 | filename = getFileFromSet(fullpath, ext, set) |
|
|
558 | 560 | |
|
|
559 | 561 | if not(filename): |
|
|
560 | 562 | return None, None, None, None, None, None |
|
|
561 | 563 | |
|
|
562 | 564 | print "%s file was found" %(filename) |
|
|
563 | 565 | |
|
|
564 | 566 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
|
565 | 567 | return None, None, None, None, None, None |
|
|
566 | 568 | |
|
|
567 | 569 | year = int( filename[1:5] ) |
|
|
568 | 570 | doy = int( filename[5:8] ) |
|
|
569 | 571 | set = int( filename[8:11] ) |
|
|
570 | 572 | |
|
|
571 | 573 | return fullpath, foldercounter, filename, year, doy, set |
|
|
572 | 574 | |
|
|
573 | 575 | def __setNextFileOffline(self): |
|
|
574 | 576 | |
|
|
575 | 577 | idFile = self.fileIndex |
|
|
576 | 578 | |
|
|
577 | 579 | while (True): |
|
|
578 | 580 | idFile += 1 |
|
|
579 | 581 | if not(idFile < len(self.filenameList)): |
|
|
580 | 582 | self.flagNoMoreFiles = 1 |
|
|
581 | 583 | print "No more Files" |
|
|
582 | 584 | return 0 |
|
|
583 | 585 | |
|
|
584 | 586 | filename = self.filenameList[idFile] |
|
|
585 | 587 | |
|
|
586 | 588 | if not(self.__verifyFile(filename)): |
|
|
587 | 589 | continue |
|
|
588 | 590 | |
|
|
589 | 591 | fileSize = os.path.getsize(filename) |
|
|
590 | 592 | fp = open(filename,'rb') |
|
|
591 | 593 | break |
|
|
592 | 594 | |
|
|
593 | 595 | self.flagIsNewFile = 1 |
|
|
594 | 596 | self.fileIndex = idFile |
|
|
595 | 597 | self.filename = filename |
|
|
596 | 598 | self.fileSize = fileSize |
|
|
597 | 599 | self.fp = fp |
|
|
598 | 600 | |
|
|
599 | 601 | print "Setting the file: %s"%self.filename |
|
|
600 | 602 | |
|
|
601 | 603 | return 1 |
|
|
602 | 604 | |
|
|
603 | 605 | def __setNextFileOnline(self): |
|
|
604 | 606 | """ |
|
|
605 | 607 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
606 | 608 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
607 | 609 | siguientes. |
|
|
608 | 610 | |
|
|
609 | 611 | Affected: |
|
|
610 | 612 | self.flagIsNewFile |
|
|
611 | 613 | self.filename |
|
|
612 | 614 | self.fileSize |
|
|
613 | 615 | self.fp |
|
|
614 | 616 | self.set |
|
|
615 | 617 | self.flagNoMoreFiles |
|
|
616 | 618 | |
|
|
617 | 619 | Return: |
|
|
618 | 620 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
619 | 621 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
620 | 622 | |
|
|
621 | 623 | Excepciones: |
|
|
622 | 624 | Si un determinado file no puede ser abierto |
|
|
623 | 625 | """ |
|
|
624 | 626 | nFiles = 0 |
|
|
625 | 627 | fileOk_flag = False |
|
|
626 | 628 | firstTime_flag = True |
|
|
627 | 629 | |
|
|
628 | 630 | self.set += 1 |
|
|
629 | 631 | |
|
|
630 | 632 | if self.set > 999: |
|
|
631 | 633 | self.set = 0 |
|
|
632 | 634 | self.foldercounter += 1 |
|
|
633 | 635 | |
|
|
634 | 636 | #busca el 1er file disponible |
|
|
635 | 637 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
636 | 638 | if fullfilename: |
|
|
637 | 639 | if self.__verifyFile(fullfilename, False): |
|
|
638 | 640 | fileOk_flag = True |
|
|
639 | 641 | |
|
|
640 | 642 | #si no encuentra un file entonces espera y vuelve a buscar |
|
|
641 | 643 | if not(fileOk_flag): |
|
|
642 | 644 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
|
643 | 645 | |
|
|
644 | 646 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
|
645 | 647 | tries = self.nTries |
|
|
646 | 648 | else: |
|
|
647 | 649 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
|
648 | 650 | |
|
|
649 | 651 | for nTries in range( tries ): |
|
|
650 | 652 | if firstTime_flag: |
|
|
651 | 653 | print "\tWaiting %0.2f sec for the file \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
|
652 | 654 | time.sleep( self.delay ) |
|
|
653 | 655 | else: |
|
|
654 | 656 | print "\tSearching next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|
655 | 657 | |
|
|
656 | 658 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
657 | 659 | if fullfilename: |
|
|
658 | 660 | if self.__verifyFile(fullfilename): |
|
|
659 | 661 | fileOk_flag = True |
|
|
660 | 662 | break |
|
|
661 | 663 | |
|
|
662 | 664 | if fileOk_flag: |
|
|
663 | 665 | break |
|
|
664 | 666 | |
|
|
665 | 667 | firstTime_flag = False |
|
|
666 | 668 | |
|
|
667 | 669 | print "\tSkipping the file \"%s\" due to this file doesn't exist" % filename |
|
|
668 | 670 | self.set += 1 |
|
|
669 | 671 | |
|
|
670 | 672 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
671 | 673 | self.set = 0 |
|
|
672 | 674 | self.doy += 1 |
|
|
673 | 675 | self.foldercounter = 0 |
|
|
674 | 676 | |
|
|
675 | 677 | if fileOk_flag: |
|
|
676 | 678 | self.fileSize = os.path.getsize( fullfilename ) |
|
|
677 | 679 | self.filename = fullfilename |
|
|
678 | 680 | self.flagIsNewFile = 1 |
|
|
679 | 681 | if self.fp != None: self.fp.close() |
|
|
680 | 682 | self.fp = open(fullfilename, 'rb') |
|
|
681 | 683 | self.flagNoMoreFiles = 0 |
|
|
682 | 684 | print 'Setting the file: %s' % fullfilename |
|
|
683 | 685 | else: |
|
|
684 | 686 | self.fileSize = 0 |
|
|
685 | 687 | self.filename = None |
|
|
686 | 688 | self.flagIsNewFile = 0 |
|
|
687 | 689 | self.fp = None |
|
|
688 | 690 | self.flagNoMoreFiles = 1 |
|
|
689 | 691 | print 'No more Files' |
|
|
690 | 692 | |
|
|
691 | 693 | return fileOk_flag |
|
|
692 | 694 | |
|
|
693 | 695 | def setNextFile(self): |
|
|
694 | 696 | if self.fp != None: |
|
|
695 | 697 | self.fp.close() |
|
|
696 | 698 | |
|
|
697 | 699 | if self.online: |
|
|
698 | 700 | newFile = self.__setNextFileOnline() |
|
|
699 | 701 | else: |
|
|
700 | 702 | newFile = self.__setNextFileOffline() |
|
|
701 | 703 | |
|
|
702 | 704 | if not(newFile): |
|
|
703 | 705 | return 0 |
|
|
704 | 706 | |
|
|
705 | 707 | self.__readFirstHeader() |
|
|
706 | 708 | self.nReadBlocks = 0 |
|
|
707 | 709 | return 1 |
|
|
708 | 710 | |
|
|
709 | 711 | def __waitNewBlock(self): |
|
|
710 | 712 | """ |
|
|
711 | 713 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
712 | 714 | |
|
|
713 | 715 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
714 | 716 | """ |
|
|
715 | 717 | if not self.online: |
|
|
716 | 718 | return 0 |
|
|
717 | 719 | |
|
|
718 | 720 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
719 | 721 | return 0 |
|
|
720 | 722 | |
|
|
721 | 723 | currentPointer = self.fp.tell() |
|
|
722 | 724 | |
|
|
723 | 725 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
724 | 726 | |
|
|
725 | 727 | for nTries in range( self.nTries ): |
|
|
726 | 728 | |
|
|
727 | 729 | self.fp.close() |
|
|
728 | 730 | self.fp = open( self.filename, 'rb' ) |
|
|
729 | 731 | self.fp.seek( currentPointer ) |
|
|
730 | 732 | |
|
|
731 | 733 | self.fileSize = os.path.getsize( self.filename ) |
|
|
732 | 734 | currentSize = self.fileSize - currentPointer |
|
|
733 | 735 | |
|
|
734 | 736 | if ( currentSize >= neededSize ): |
|
|
735 | 737 | self.basicHeaderObj.read(self.fp) |
|
|
736 | 738 | return 1 |
|
|
737 | 739 | |
|
|
738 | 740 | if self.fileSize == self.fileSizeByHeader: |
|
|
739 | 741 | # self.flagEoF = True |
|
|
740 | 742 | return 0 |
|
|
741 | 743 | |
|
|
742 | 744 | print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
743 | 745 | time.sleep( self.delay ) |
|
|
744 | 746 | |
|
|
745 | 747 | |
|
|
746 | 748 | return 0 |
|
|
747 | 749 | |
|
|
748 | 750 | def waitDataBlock(self,pointer_location): |
|
|
749 | 751 | |
|
|
750 | 752 | currentPointer = pointer_location |
|
|
751 | 753 | |
|
|
752 | 754 | neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize |
|
|
753 | 755 | |
|
|
754 | 756 | for nTries in range( self.nTries ): |
|
|
755 | 757 | self.fp.close() |
|
|
756 | 758 | self.fp = open( self.filename, 'rb' ) |
|
|
757 | 759 | self.fp.seek( currentPointer ) |
|
|
758 | 760 | |
|
|
759 | 761 | self.fileSize = os.path.getsize( self.filename ) |
|
|
760 | 762 | currentSize = self.fileSize - currentPointer |
|
|
761 | 763 | |
|
|
762 | 764 | if ( currentSize >= neededSize ): |
|
|
763 | 765 | return 1 |
|
|
764 | 766 | |
|
|
765 | 767 | print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
766 | 768 | time.sleep( self.delay ) |
|
|
767 | 769 | |
|
|
768 | 770 | return 0 |
|
|
769 | 771 | |
|
|
770 | 772 | def __jumpToLastBlock(self): |
|
|
771 | 773 | |
|
|
772 | 774 | if not(self.__isFirstTimeOnline): |
|
|
773 | 775 | return |
|
|
774 | 776 | |
|
|
775 | 777 | csize = self.fileSize - self.fp.tell() |
|
|
776 | 778 | blocksize = self.processingHeaderObj.blockSize |
|
|
777 | 779 | |
|
|
778 | 780 | #salta el primer bloque de datos |
|
|
779 | 781 | if csize > self.processingHeaderObj.blockSize: |
|
|
780 | 782 | self.fp.seek(self.fp.tell() + blocksize) |
|
|
781 | 783 | else: |
|
|
782 | 784 | return |
|
|
783 | 785 | |
|
|
784 | 786 | csize = self.fileSize - self.fp.tell() |
|
|
785 | 787 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
786 | 788 | while True: |
|
|
787 | 789 | |
|
|
788 | 790 | if self.fp.tell()<self.fileSize: |
|
|
789 | 791 | self.fp.seek(self.fp.tell() + neededsize) |
|
|
790 | 792 | else: |
|
|
791 | 793 | self.fp.seek(self.fp.tell() - neededsize) |
|
|
792 | 794 | break |
|
|
793 | 795 | |
|
|
794 | 796 | # csize = self.fileSize - self.fp.tell() |
|
|
795 | 797 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
796 | 798 | # factor = int(csize/neededsize) |
|
|
797 | 799 | # if factor > 0: |
|
|
798 | 800 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
|
799 | 801 | |
|
|
800 | 802 | self.flagIsNewFile = 0 |
|
|
801 | 803 | self.__isFirstTimeOnline = 0 |
|
|
802 | 804 | |
|
|
803 | 805 | def __setNewBlock(self): |
|
|
804 | 806 | |
|
|
805 | 807 | if self.fp == None: |
|
|
806 | 808 | return 0 |
|
|
807 | 809 | |
|
|
808 | 810 | if self.online: |
|
|
809 | 811 | self.__jumpToLastBlock() |
|
|
810 | 812 | |
|
|
811 | 813 | if self.flagIsNewFile: |
|
|
812 | 814 | return 1 |
|
|
813 | 815 | |
|
|
814 | 816 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
815 | 817 | currentSize = self.fileSize - self.fp.tell() |
|
|
816 | 818 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
817 | 819 | |
|
|
818 | 820 | if (currentSize >= neededSize): |
|
|
819 | 821 | self.basicHeaderObj.read(self.fp) |
|
|
820 | 822 | return 1 |
|
|
821 | 823 | |
|
|
822 | 824 | if self.__waitNewBlock(): |
|
|
823 | 825 | return 1 |
|
|
824 | 826 | |
|
|
825 | 827 | if not(self.setNextFile()): |
|
|
826 | 828 | return 0 |
|
|
827 | 829 | |
|
|
828 | 830 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
|
829 | 831 | |
|
|
830 | 832 | self.flagTimeBlock = 0 |
|
|
831 | 833 | |
|
|
832 | 834 | if deltaTime > self.maxTimeStep: |
|
|
833 | 835 | self.flagTimeBlock = 1 |
|
|
834 | 836 | |
|
|
835 | 837 | return 1 |
|
|
836 | 838 | |
|
|
837 | 839 | def readNextBlock(self): |
|
|
838 | 840 | if not(self.__setNewBlock()): |
|
|
839 | 841 | return 0 |
|
|
840 | 842 | |
|
|
841 | 843 | if not(self.readBlock()): |
|
|
842 | 844 | return 0 |
|
|
843 | 845 | |
|
|
844 | 846 | return 1 |
|
|
845 | 847 | |
|
|
846 | 848 | def __readFirstHeader(self): |
|
|
847 | 849 | |
|
|
848 | 850 | self.basicHeaderObj.read(self.fp) |
|
|
849 | 851 | self.systemHeaderObj.read(self.fp) |
|
|
850 | 852 | self.radarControllerHeaderObj.read(self.fp) |
|
|
851 | 853 | self.processingHeaderObj.read(self.fp) |
|
|
852 | 854 | |
|
|
853 | 855 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
854 | 856 | |
|
|
855 | 857 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
856 | 858 | if datatype == 0: |
|
|
857 | 859 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
858 | 860 | elif datatype == 1: |
|
|
859 | 861 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
860 | 862 | elif datatype == 2: |
|
|
861 | 863 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
862 | 864 | elif datatype == 3: |
|
|
863 | 865 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
864 | 866 | elif datatype == 4: |
|
|
865 | 867 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
866 | 868 | elif datatype == 5: |
|
|
867 | 869 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
868 | 870 | else: |
|
|
869 | 871 | raise ValueError, 'Data type was not defined' |
|
|
870 | 872 | |
|
|
871 | 873 | self.dtype = datatype_str |
|
|
872 | 874 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
873 | 875 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
874 | 876 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
875 | 877 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
876 | 878 | self.getBlockDimension() |
|
|
877 | 879 | |
|
|
878 | 880 | def __verifyFile(self, filename, msgFlag=True): |
|
|
879 | 881 | msg = None |
|
|
880 | 882 | try: |
|
|
881 | 883 | fp = open(filename, 'rb') |
|
|
882 | 884 | currentPosition = fp.tell() |
|
|
883 | 885 | except IOError: |
|
|
884 | 886 | traceback.print_exc() |
|
|
885 | 887 | if msgFlag: |
|
|
886 | 888 | print "The file %s can't be opened" % (filename) |
|
|
887 | 889 | return False |
|
|
888 | 890 | |
|
|
889 | 891 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
890 | 892 | |
|
|
891 | 893 | if neededSize == 0: |
|
|
892 | 894 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
893 | 895 | systemHeaderObj = SystemHeader() |
|
|
894 | 896 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
895 | 897 | processingHeaderObj = ProcessingHeader() |
|
|
896 | 898 | |
|
|
897 | 899 | try: |
|
|
898 | 900 | if not( basicHeaderObj.read(fp) ): raise IOError |
|
|
899 | 901 | if not( systemHeaderObj.read(fp) ): raise IOError |
|
|
900 | 902 | if not( radarControllerHeaderObj.read(fp) ): raise IOError |
|
|
901 | 903 | if not( processingHeaderObj.read(fp) ): raise IOError |
|
|
902 | 904 | # data_type = int(numpy.log2((processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
903 | 905 | |
|
|
904 | 906 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
905 | 907 | |
|
|
906 | 908 | except IOError: |
|
|
907 | 909 | traceback.print_exc() |
|
|
908 | 910 | if msgFlag: |
|
|
909 | 911 | print "\tThe file %s is empty or it hasn't enough data" % filename |
|
|
910 | 912 | |
|
|
911 | 913 | fp.close() |
|
|
912 | 914 | return False |
|
|
913 | 915 | else: |
|
|
914 | 916 | msg = "\tSkipping the file %s due to it hasn't enough data" %filename |
|
|
915 | 917 | |
|
|
916 | 918 | fp.close() |
|
|
917 | 919 | fileSize = os.path.getsize(filename) |
|
|
918 | 920 | currentSize = fileSize - currentPosition |
|
|
919 | 921 | if currentSize < neededSize: |
|
|
920 | 922 | if msgFlag and (msg != None): |
|
|
921 | 923 | print msg #print"\tSkipping the file %s due to it hasn't enough data" %filename |
|
|
922 | 924 | return False |
|
|
923 | 925 | |
|
|
924 | 926 | return True |
|
|
925 | 927 | |
|
|
926 | 928 | def setup(self, |
|
|
927 | 929 | path=None, |
|
|
928 | 930 | startDate=None, |
|
|
929 | 931 | endDate=None, |
|
|
930 | 932 | startTime=datetime.time(0,0,0), |
|
|
931 | 933 | endTime=datetime.time(23,59,59), |
|
|
932 | 934 | set=None, |
|
|
933 | 935 | expLabel = "", |
|
|
934 | 936 | ext = None, |
|
|
935 | 937 | online = False, |
|
|
936 | 938 | delay = 60, |
|
|
937 |
walk = True |
|
|
|
939 | walk = True, | |
|
|
940 | getblock = False): | |
|
|
938 | 941 | |
|
|
939 | 942 | if path == None: |
|
|
940 | 943 | raise ValueError, "The path is not valid" |
|
|
941 | 944 | |
|
|
942 | 945 | if ext == None: |
|
|
943 | 946 | ext = self.ext |
|
|
944 | 947 | |
|
|
945 | 948 | if online: |
|
|
946 | 949 | print "Searching files in online mode..." |
|
|
947 | 950 | |
|
|
948 | 951 | for nTries in range( self.nTries ): |
|
|
949 | 952 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
|
950 | 953 | |
|
|
951 | 954 | if fullpath: |
|
|
952 | 955 | break |
|
|
953 | 956 | |
|
|
954 | 957 | print '\tWaiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
|
955 | 958 | time.sleep( self.delay ) |
|
|
956 | 959 | |
|
|
957 | 960 | if not(fullpath): |
|
|
958 | 961 | print "There 'isn't valied files in %s" % path |
|
|
959 | 962 | return None |
|
|
960 | 963 | |
|
|
961 | 964 | self.year = year |
|
|
962 | 965 | self.doy = doy |
|
|
963 | 966 | self.set = set - 1 |
|
|
964 | 967 | self.path = path |
|
|
965 | 968 | self.foldercounter = foldercounter |
|
|
966 | 969 | last_set = None |
|
|
967 | 970 | |
|
|
968 | 971 | else: |
|
|
969 | 972 | print "Searching files in offline mode ..." |
|
|
970 | 973 | pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|
971 | 974 | startTime=startTime, endTime=endTime, |
|
|
972 | 975 | set=set, expLabel=expLabel, ext=ext, |
|
|
973 | 976 | walk=walk) |
|
|
974 | 977 | |
|
|
975 | 978 | if not(pathList): |
|
|
976 | 979 | print "No *%s files into the folder %s \nfor the range: %s - %s"%(ext, path, |
|
|
977 | 980 | datetime.datetime.combine(startDate,startTime).ctime(), |
|
|
978 | 981 | datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
979 | 982 | |
|
|
980 | 983 | sys.exit(-1) |
|
|
981 | 984 | |
|
|
982 | 985 | |
|
|
983 | 986 | self.fileIndex = -1 |
|
|
984 | 987 | self.pathList = pathList |
|
|
985 | 988 | self.filenameList = filenameList |
|
|
986 | 989 | file_name = os.path.basename(filenameList[-1]) |
|
|
987 | 990 | basename, ext = os.path.splitext(file_name) |
|
|
988 | 991 | last_set = int(basename[-3:]) |
|
|
989 | 992 | |
|
|
990 | 993 | self.online = online |
|
|
991 | 994 | self.delay = delay |
|
|
992 | 995 | ext = ext.lower() |
|
|
993 | 996 | self.ext = ext |
|
|
994 | ||
|
|
997 | self.getblock = getblock | |
|
|
995 | 998 | if not(self.setNextFile()): |
|
|
996 | 999 | if (startDate!=None) and (endDate!=None): |
|
|
997 | 1000 | print "No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
998 | 1001 | elif startDate != None: |
|
|
999 | 1002 | print "No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|
1000 | 1003 | else: |
|
|
1001 | 1004 | print "No files" |
|
|
1002 | 1005 | |
|
|
1003 | 1006 | sys.exit(-1) |
|
|
1004 | 1007 | |
|
|
1005 | 1008 | # self.updateDataHeader() |
|
|
1006 | 1009 | if last_set != None: |
|
|
1007 | 1010 | self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
|
1008 | 1011 | return |
|
|
1009 | 1012 | |
|
|
1010 | 1013 | def getBasicHeader(self): |
|
|
1011 | 1014 | |
|
|
1012 | 1015 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1013 | 1016 | |
|
|
1014 | 1017 | self.dataOut.flagTimeBlock = self.flagTimeBlock |
|
|
1015 | 1018 | |
|
|
1016 | 1019 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1017 | 1020 | |
|
|
1018 | 1021 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1019 | 1022 | |
|
|
1020 | 1023 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1021 | 1024 | |
|
|
1022 | 1025 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1023 | 1026 | |
|
|
1024 | 1027 | def getFirstHeader(self): |
|
|
1025 | 1028 | |
|
|
1026 | 1029 | raise ValueError, "This method has not been implemented" |
|
|
1027 | 1030 | |
|
|
1028 | 1031 | def getData(self): |
|
|
1029 | 1032 | |
|
|
1030 | 1033 | raise ValueError, "This method has not been implemented" |
|
|
1031 | 1034 | |
|
|
1032 | 1035 | def hasNotDataInBuffer(self): |
|
|
1033 | 1036 | |
|
|
1034 | 1037 | raise ValueError, "This method has not been implemented" |
|
|
1035 | 1038 | |
|
|
1036 | 1039 | def readBlock(self): |
|
|
1037 | 1040 | |
|
|
1038 | 1041 | raise ValueError, "This method has not been implemented" |
|
|
1039 | 1042 | |
|
|
1040 | 1043 | def isEndProcess(self): |
|
|
1041 | 1044 | |
|
|
1042 | 1045 | return self.flagNoMoreFiles |
|
|
1043 | 1046 | |
|
|
1044 | 1047 | def printReadBlocks(self): |
|
|
1045 | 1048 | |
|
|
1046 | 1049 | print "Number of read blocks per file %04d" %self.nReadBlocks |
|
|
1047 | 1050 | |
|
|
1048 | 1051 | def printTotalBlocks(self): |
|
|
1049 | 1052 | |
|
|
1050 | 1053 | print "Number of read blocks %04d" %self.nTotalBlocks |
|
|
1051 | 1054 | |
|
|
1052 | 1055 | def printNumberOfBlock(self): |
|
|
1053 | 1056 | |
|
|
1054 | 1057 | if self.flagIsNewBlock: |
|
|
1055 | 1058 | print "Block No. %04d, Total blocks %04d -> %s" %(self.basicHeaderObj.dataBlock, self.nTotalBlocks, self.dataOut.datatime.ctime()) |
|
|
1056 | 1059 | self.dataOut.blocknow = self.basicHeaderObj.dataBlock |
|
|
1057 | 1060 | |
|
|
1058 | 1061 | def printInfo(self): |
|
|
1059 | 1062 | |
|
|
1060 | 1063 | if self.__printInfo == False: |
|
|
1061 | 1064 | return |
|
|
1062 | 1065 | |
|
|
1063 | 1066 | self.basicHeaderObj.printInfo() |
|
|
1064 | 1067 | self.systemHeaderObj.printInfo() |
|
|
1065 | 1068 | self.radarControllerHeaderObj.printInfo() |
|
|
1066 | 1069 | self.processingHeaderObj.printInfo() |
|
|
1067 | 1070 | |
|
|
1068 | 1071 | self.__printInfo = False |
|
|
1069 | 1072 | |
|
|
1070 | 1073 | |
|
|
1071 | 1074 | def run(self, **kwargs): |
|
|
1072 | 1075 | |
|
|
1073 | 1076 | if not(self.isConfig): |
|
|
1074 | 1077 | |
|
|
1075 | 1078 | # self.dataOut = dataOut |
|
|
1076 | 1079 | self.setup(**kwargs) |
|
|
1077 | 1080 | self.isConfig = True |
|
|
1078 | 1081 | |
|
|
1079 | 1082 | self.getData() |
|
|
1080 | 1083 | |
|
|
1081 | 1084 | class JRODataWriter(JRODataIO): |
|
|
1082 | 1085 | |
|
|
1083 | 1086 | """ |
|
|
1084 | 1087 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1085 | 1088 | de los datos siempre se realiza por bloques. |
|
|
1086 | 1089 | """ |
|
|
1087 | 1090 | |
|
|
1088 | 1091 | blockIndex = 0 |
|
|
1089 | 1092 | |
|
|
1090 | 1093 | path = None |
|
|
1091 | 1094 | |
|
|
1092 | 1095 | setFile = None |
|
|
1093 | 1096 | |
|
|
1094 | 1097 | profilesPerBlock = None |
|
|
1095 | 1098 | |
|
|
1096 | 1099 | blocksPerFile = None |
|
|
1097 | 1100 | |
|
|
1098 | 1101 | nWriteBlocks = 0 |
|
|
1099 | 1102 | |
|
|
1100 | 1103 | def __init__(self, dataOut=None): |
|
|
1101 | 1104 | raise ValueError, "Not implemented" |
|
|
1102 | 1105 | |
|
|
1103 | 1106 | |
|
|
1104 | 1107 | def hasAllDataInBuffer(self): |
|
|
1105 | 1108 | raise ValueError, "Not implemented" |
|
|
1106 | 1109 | |
|
|
1107 | 1110 | |
|
|
1108 | 1111 | def setBlockDimension(self): |
|
|
1109 | 1112 | raise ValueError, "Not implemented" |
|
|
1110 | 1113 | |
|
|
1111 | 1114 | |
|
|
1112 | 1115 | def writeBlock(self): |
|
|
1113 | 1116 | raise ValueError, "No implemented" |
|
|
1114 | 1117 | |
|
|
1115 | 1118 | |
|
|
1116 | 1119 | def putData(self): |
|
|
1117 | 1120 | raise ValueError, "No implemented" |
|
|
1118 | 1121 | |
|
|
1119 | 1122 | |
|
|
1120 | 1123 | def setBasicHeader(self): |
|
|
1121 | 1124 | |
|
|
1122 | 1125 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
|
1123 | 1126 | self.basicHeaderObj.version = self.versionFile |
|
|
1124 | 1127 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1125 | 1128 | |
|
|
1126 | 1129 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1127 | 1130 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
|
1128 | 1131 | |
|
|
1129 | 1132 | self.basicHeaderObj.utc = utc |
|
|
1130 | 1133 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1131 | 1134 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1132 | 1135 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1133 | 1136 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1134 | 1137 | |
|
|
1135 | 1138 | def setFirstHeader(self): |
|
|
1136 | 1139 | """ |
|
|
1137 | 1140 | Obtiene una copia del First Header |
|
|
1138 | 1141 | |
|
|
1139 | 1142 | Affected: |
|
|
1140 | 1143 | |
|
|
1141 | 1144 | self.basicHeaderObj |
|
|
1142 | 1145 | self.systemHeaderObj |
|
|
1143 | 1146 | self.radarControllerHeaderObj |
|
|
1144 | 1147 | self.processingHeaderObj self. |
|
|
1145 | 1148 | |
|
|
1146 | 1149 | Return: |
|
|
1147 | 1150 | None |
|
|
1148 | 1151 | """ |
|
|
1149 | 1152 | |
|
|
1150 | 1153 | raise ValueError, "No implemented" |
|
|
1151 | 1154 | |
|
|
1152 | 1155 | def __writeFirstHeader(self): |
|
|
1153 | 1156 | """ |
|
|
1154 | 1157 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1155 | 1158 | |
|
|
1156 | 1159 | Affected: |
|
|
1157 | 1160 | __dataType |
|
|
1158 | 1161 | |
|
|
1159 | 1162 | Return: |
|
|
1160 | 1163 | None |
|
|
1161 | 1164 | """ |
|
|
1162 | 1165 | |
|
|
1163 | 1166 | # CALCULAR PARAMETROS |
|
|
1164 | 1167 | |
|
|
1165 | 1168 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1166 | 1169 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1167 | 1170 | |
|
|
1168 | 1171 | self.basicHeaderObj.write(self.fp) |
|
|
1169 | 1172 | self.systemHeaderObj.write(self.fp) |
|
|
1170 | 1173 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1171 | 1174 | self.processingHeaderObj.write(self.fp) |
|
|
1172 | 1175 | |
|
|
1173 | 1176 | self.dtype = self.dataOut.dtype |
|
|
1174 | 1177 | |
|
|
1175 | 1178 | def __setNewBlock(self): |
|
|
1176 | 1179 | """ |
|
|
1177 | 1180 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1178 | 1181 | |
|
|
1179 | 1182 | Return: |
|
|
1180 | 1183 | 0 : si no pudo escribir nada |
|
|
1181 | 1184 | 1 : Si escribio el Basic el First Header |
|
|
1182 | 1185 | """ |
|
|
1183 | 1186 | if self.fp == None: |
|
|
1184 | 1187 | self.setNextFile() |
|
|
1185 | 1188 | |
|
|
1186 | 1189 | if self.flagIsNewFile: |
|
|
1187 | 1190 | return 1 |
|
|
1188 | 1191 | |
|
|
1189 | 1192 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1190 | 1193 | self.basicHeaderObj.write(self.fp) |
|
|
1191 | 1194 | return 1 |
|
|
1192 | 1195 | |
|
|
1193 | 1196 | if not( self.setNextFile() ): |
|
|
1194 | 1197 | return 0 |
|
|
1195 | 1198 | |
|
|
1196 | 1199 | return 1 |
|
|
1197 | 1200 | |
|
|
1198 | 1201 | |
|
|
1199 | 1202 | def writeNextBlock(self): |
|
|
1200 | 1203 | """ |
|
|
1201 | 1204 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1202 | 1205 | |
|
|
1203 | 1206 | Return: |
|
|
1204 | 1207 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1205 | 1208 | 1 : Si no pudo escribir el bloque de datos |
|
|
1206 | 1209 | """ |
|
|
1207 | 1210 | if not( self.__setNewBlock() ): |
|
|
1208 | 1211 | return 0 |
|
|
1209 | 1212 | |
|
|
1210 | 1213 | self.writeBlock() |
|
|
1211 | 1214 | |
|
|
1212 | 1215 | return 1 |
|
|
1213 | 1216 | |
|
|
1214 | 1217 | def setNextFile(self): |
|
|
1215 | 1218 | """ |
|
|
1216 | 1219 | Determina el siguiente file que sera escrito |
|
|
1217 | 1220 | |
|
|
1218 | 1221 | Affected: |
|
|
1219 | 1222 | self.filename |
|
|
1220 | 1223 | self.subfolder |
|
|
1221 | 1224 | self.fp |
|
|
1222 | 1225 | self.setFile |
|
|
1223 | 1226 | self.flagIsNewFile |
|
|
1224 | 1227 | |
|
|
1225 | 1228 | Return: |
|
|
1226 | 1229 | 0 : Si el archivo no puede ser escrito |
|
|
1227 | 1230 | 1 : Si el archivo esta listo para ser escrito |
|
|
1228 | 1231 | """ |
|
|
1229 | 1232 | ext = self.ext |
|
|
1230 | 1233 | path = self.path |
|
|
1231 | 1234 | |
|
|
1232 | 1235 | if self.fp != None: |
|
|
1233 | 1236 | self.fp.close() |
|
|
1234 | 1237 | |
|
|
1235 | 1238 | timeTuple = time.localtime( self.dataOut.utctime) |
|
|
1236 | 1239 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
1237 | 1240 | |
|
|
1238 | 1241 | fullpath = os.path.join( path, subfolder ) |
|
|
1239 | 1242 | if not( os.path.exists(fullpath) ): |
|
|
1240 | 1243 | os.mkdir(fullpath) |
|
|
1241 | 1244 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
1242 | 1245 | else: |
|
|
1243 | 1246 | filesList = os.listdir( fullpath ) |
|
|
1244 | 1247 | if len( filesList ) > 0: |
|
|
1245 | 1248 | filesList = sorted( filesList, key=str.lower ) |
|
|
1246 | 1249 | filen = filesList[-1] |
|
|
1247 | 1250 | # el filename debera tener el siguiente formato |
|
|
1248 | 1251 | # 0 1234 567 89A BCDE (hex) |
|
|
1249 | 1252 | # x YYYY DDD SSS .ext |
|
|
1250 | 1253 | if isNumber( filen[8:11] ): |
|
|
1251 | 1254 | self.setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
1252 | 1255 | else: |
|
|
1253 | 1256 | self.setFile = -1 |
|
|
1254 | 1257 | else: |
|
|
1255 | 1258 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
1256 | 1259 | |
|
|
1257 | 1260 | setFile = self.setFile |
|
|
1258 | 1261 | setFile += 1 |
|
|
1259 | 1262 | |
|
|
1260 | 1263 | file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, |
|
|
1261 | 1264 | timeTuple.tm_year, |
|
|
1262 | 1265 | timeTuple.tm_yday, |
|
|
1263 | 1266 | setFile, |
|
|
1264 | 1267 | ext ) |
|
|
1265 | 1268 | |
|
|
1266 | 1269 | filename = os.path.join( path, subfolder, file ) |
|
|
1267 | 1270 | |
|
|
1268 | 1271 | fp = open( filename,'wb' ) |
|
|
1269 | 1272 | |
|
|
1270 | 1273 | self.blockIndex = 0 |
|
|
1271 | 1274 | |
|
|
1272 | 1275 | #guardando atributos |
|
|
1273 | 1276 | self.filename = filename |
|
|
1274 | 1277 | self.subfolder = subfolder |
|
|
1275 | 1278 | self.fp = fp |
|
|
1276 | 1279 | self.setFile = setFile |
|
|
1277 | 1280 | self.flagIsNewFile = 1 |
|
|
1278 | 1281 | |
|
|
1279 | 1282 | self.setFirstHeader() |
|
|
1280 | 1283 | |
|
|
1281 | 1284 | print 'Writing the file: %s'%self.filename |
|
|
1282 | 1285 | |
|
|
1283 | 1286 | self.__writeFirstHeader() |
|
|
1284 | 1287 | |
|
|
1285 | 1288 | return 1 |
|
|
1286 | 1289 | |
|
|
1287 | 1290 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=0, ext=None): |
|
|
1288 | 1291 | """ |
|
|
1289 | 1292 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1290 | 1293 | |
|
|
1291 | 1294 | Inputs: |
|
|
1292 | 1295 | path : el path destino en el cual se escribiran los files a crear |
|
|
1293 | 1296 | format : formato en el cual sera salvado un file |
|
|
1294 | 1297 | set : el setebo del file |
|
|
1295 | 1298 | |
|
|
1296 | 1299 | Return: |
|
|
1297 | 1300 | 0 : Si no realizo un buen seteo |
|
|
1298 | 1301 | 1 : Si realizo un buen seteo |
|
|
1299 | 1302 | """ |
|
|
1300 | 1303 | |
|
|
1301 | 1304 | if ext == None: |
|
|
1302 | 1305 | ext = self.ext |
|
|
1303 | 1306 | |
|
|
1304 | 1307 | ext = ext.lower() |
|
|
1305 | 1308 | |
|
|
1306 | 1309 | self.ext = ext |
|
|
1307 | 1310 | |
|
|
1308 | 1311 | self.path = path |
|
|
1309 | 1312 | |
|
|
1310 | 1313 | self.setFile = set - 1 |
|
|
1311 | 1314 | |
|
|
1312 | 1315 | self.blocksPerFile = blocksPerFile |
|
|
1313 | 1316 | |
|
|
1314 | 1317 | self.profilesPerBlock = profilesPerBlock |
|
|
1315 | 1318 | |
|
|
1316 | 1319 | self.dataOut = dataOut |
|
|
1317 | 1320 | |
|
|
1318 | 1321 | if not(self.setNextFile()): |
|
|
1319 | 1322 | print "There isn't a next file" |
|
|
1320 | 1323 | return 0 |
|
|
1321 | 1324 | |
|
|
1322 | 1325 | self.setBlockDimension() |
|
|
1323 | 1326 | |
|
|
1324 | 1327 | return 1 |
|
|
1325 | 1328 | |
|
|
1326 | 1329 | def run(self, dataOut, **kwargs): |
|
|
1327 | 1330 | |
|
|
1328 | 1331 | if not(self.isConfig): |
|
|
1329 | 1332 | |
|
|
1330 | 1333 | self.setup(dataOut, **kwargs) |
|
|
1331 | 1334 | self.isConfig = True |
|
|
1332 | 1335 | |
|
|
1333 | 1336 | self.putData() |
|
|
1334 | 1337 | |
| @@ -1,588 +1,593 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | ''' |
|
|
4 | 4 | import numpy |
|
|
5 | 5 | |
|
|
6 | 6 | from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
|
|
7 | 7 | from model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
8 | 8 | from model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
9 | 9 | from model.data.jrodata import Voltage |
|
|
10 | 10 | |
|
|
11 | 11 | class VoltageReader(JRODataReader, ProcessingUnit): |
|
|
12 | 12 | """ |
|
|
13 | 13 | Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura |
|
|
14 | 14 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones: |
|
|
15 | 15 | perfiles*alturas*canales) son almacenados en la variable "buffer". |
|
|
16 | 16 | |
|
|
17 | 17 | perfiles * alturas * canales |
|
|
18 | 18 | |
|
|
19 | 19 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
20 | 20 | RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la |
|
|
21 | 21 | cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de |
|
|
22 | 22 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
23 | 23 | |
|
|
24 | 24 | Example: |
|
|
25 | 25 | |
|
|
26 | 26 | dpath = "/home/myuser/data" |
|
|
27 | 27 | |
|
|
28 | 28 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
29 | 29 | |
|
|
30 | 30 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
31 | 31 | |
|
|
32 | 32 | readerObj = VoltageReader() |
|
|
33 | 33 | |
|
|
34 | 34 | readerObj.setup(dpath, startTime, endTime) |
|
|
35 | 35 | |
|
|
36 | 36 | while(True): |
|
|
37 | 37 | |
|
|
38 | 38 | #to get one profile |
|
|
39 | 39 | profile = readerObj.getData() |
|
|
40 | 40 | |
|
|
41 | 41 | #print the profile |
|
|
42 | 42 | print profile |
|
|
43 | 43 | |
|
|
44 | 44 | #If you want to see all datablock |
|
|
45 | 45 | print readerObj.datablock |
|
|
46 | 46 | |
|
|
47 | 47 | if readerObj.flagNoMoreFiles: |
|
|
48 | 48 | break |
|
|
49 | 49 | |
|
|
50 | 50 | """ |
|
|
51 | 51 | |
|
|
52 | 52 | ext = ".r" |
|
|
53 | 53 | |
|
|
54 | 54 | optchar = "D" |
|
|
55 | 55 | dataOut = None |
|
|
56 | 56 | |
|
|
57 | 57 | |
|
|
58 | 58 | def __init__(self): |
|
|
59 | 59 | """ |
|
|
60 | 60 | Inicializador de la clase VoltageReader para la lectura de datos de voltage. |
|
|
61 | 61 | |
|
|
62 | 62 | Input: |
|
|
63 | 63 | dataOut : Objeto de la clase Voltage. Este objeto sera utilizado para |
|
|
64 | 64 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
65 | 65 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
66 | 66 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
67 | 67 | bloque de datos. |
|
|
68 | 68 | Si este parametro no es pasado se creara uno internamente. |
|
|
69 | 69 | |
|
|
70 | 70 | Variables afectadas: |
|
|
71 | 71 | self.dataOut |
|
|
72 | 72 | |
|
|
73 | 73 | Return: |
|
|
74 | 74 | None |
|
|
75 | 75 | """ |
|
|
76 | 76 | |
|
|
77 | 77 | ProcessingUnit.__init__(self) |
|
|
78 | 78 | |
|
|
79 | 79 | self.isConfig = False |
|
|
80 | 80 | |
|
|
81 | 81 | self.datablock = None |
|
|
82 | 82 | |
|
|
83 | 83 | self.utc = 0 |
|
|
84 | 84 | |
|
|
85 | 85 | self.ext = ".r" |
|
|
86 | 86 | |
|
|
87 | 87 | self.optchar = "D" |
|
|
88 | 88 | |
|
|
89 | 89 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
90 | 90 | |
|
|
91 | 91 | self.systemHeaderObj = SystemHeader() |
|
|
92 | 92 | |
|
|
93 | 93 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
94 | 94 | |
|
|
95 | 95 | self.processingHeaderObj = ProcessingHeader() |
|
|
96 | 96 | |
|
|
97 | 97 | self.online = 0 |
|
|
98 | 98 | |
|
|
99 | 99 | self.fp = None |
|
|
100 | 100 | |
|
|
101 | 101 | self.idFile = None |
|
|
102 | 102 | |
|
|
103 | 103 | self.dtype = None |
|
|
104 | 104 | |
|
|
105 | 105 | self.fileSizeByHeader = None |
|
|
106 | 106 | |
|
|
107 | 107 | self.filenameList = [] |
|
|
108 | 108 | |
|
|
109 | 109 | self.filename = None |
|
|
110 | 110 | |
|
|
111 | 111 | self.fileSize = None |
|
|
112 | 112 | |
|
|
113 | 113 | self.firstHeaderSize = 0 |
|
|
114 | 114 | |
|
|
115 | 115 | self.basicHeaderSize = 24 |
|
|
116 | 116 | |
|
|
117 | 117 | self.pathList = [] |
|
|
118 | 118 | |
|
|
119 | 119 | self.filenameList = [] |
|
|
120 | 120 | |
|
|
121 | 121 | self.lastUTTime = 0 |
|
|
122 | 122 | |
|
|
123 | 123 | self.maxTimeStep = 30 |
|
|
124 | 124 | |
|
|
125 | 125 | self.flagNoMoreFiles = 0 |
|
|
126 | 126 | |
|
|
127 | 127 | self.set = 0 |
|
|
128 | 128 | |
|
|
129 | 129 | self.path = None |
|
|
130 | 130 | |
|
|
131 | 131 | self.profileIndex = 2**32-1 |
|
|
132 | 132 | |
|
|
133 | 133 | self.delay = 3 #seconds |
|
|
134 | 134 | |
|
|
135 | 135 | self.nTries = 3 #quantity tries |
|
|
136 | 136 | |
|
|
137 | 137 | self.nFiles = 3 #number of files for searching |
|
|
138 | 138 | |
|
|
139 | 139 | self.nReadBlocks = 0 |
|
|
140 | 140 | |
|
|
141 | 141 | self.flagIsNewFile = 1 |
|
|
142 | 142 | |
|
|
143 | 143 | self.__isFirstTimeOnline = 1 |
|
|
144 | 144 | |
|
|
145 | 145 | # self.ippSeconds = 0 |
|
|
146 | 146 | |
|
|
147 | 147 | self.flagTimeBlock = 0 |
|
|
148 | 148 | |
|
|
149 | 149 | self.flagIsNewBlock = 0 |
|
|
150 | 150 | |
|
|
151 | 151 | self.nTotalBlocks = 0 |
|
|
152 | 152 | |
|
|
153 | 153 | self.blocksize = 0 |
|
|
154 | 154 | |
|
|
155 | 155 | self.dataOut = self.createObjByDefault() |
|
|
156 | 156 | |
|
|
157 | 157 | def createObjByDefault(self): |
|
|
158 | 158 | |
|
|
159 | 159 | dataObj = Voltage() |
|
|
160 | 160 | |
|
|
161 | 161 | return dataObj |
|
|
162 | 162 | |
|
|
163 | 163 | def __hasNotDataInBuffer(self): |
|
|
164 | 164 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
165 | 165 | return 1 |
|
|
166 | 166 | return 0 |
|
|
167 | 167 | |
|
|
168 | 168 | |
|
|
169 | 169 | def getBlockDimension(self): |
|
|
170 | 170 | """ |
|
|
171 | 171 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
172 | 172 | |
|
|
173 | 173 | Affected: |
|
|
174 | 174 | self.blocksize |
|
|
175 | 175 | |
|
|
176 | 176 | Return: |
|
|
177 | 177 | None |
|
|
178 | 178 | """ |
|
|
179 | 179 | pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels |
|
|
180 | 180 | self.blocksize = pts2read |
|
|
181 | 181 | |
|
|
182 | 182 | |
|
|
183 | 183 | def readBlock(self): |
|
|
184 | 184 | """ |
|
|
185 | 185 | readBlock lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
186 | 186 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
187 | 187 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
188 | 188 | es seteado a 0 |
|
|
189 | 189 | |
|
|
190 | 190 | Inputs: |
|
|
191 | 191 | None |
|
|
192 | 192 | |
|
|
193 | 193 | Return: |
|
|
194 | 194 | None |
|
|
195 | 195 | |
|
|
196 | 196 | Affected: |
|
|
197 | 197 | self.profileIndex |
|
|
198 | 198 | self.datablock |
|
|
199 | 199 | self.flagIsNewFile |
|
|
200 | 200 | self.flagIsNewBlock |
|
|
201 | 201 | self.nTotalBlocks |
|
|
202 | 202 | |
|
|
203 | 203 | Exceptions: |
|
|
204 | 204 | Si un bloque leido no es un bloque valido |
|
|
205 | 205 | """ |
|
|
206 | 206 | current_pointer_location = self.fp.tell() |
|
|
207 | 207 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|
208 | 208 | |
|
|
209 | 209 | try: |
|
|
210 | 210 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
211 | 211 | except: |
|
|
212 | 212 | #print "The read block (%3d) has not enough data" %self.nReadBlocks |
|
|
213 | 213 | |
|
|
214 | 214 | if self.waitDataBlock(pointer_location=current_pointer_location): |
|
|
215 | 215 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|
216 | 216 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
217 | 217 | # return 0 |
|
|
218 | 218 | |
|
|
219 | 219 | junk = numpy.transpose(junk, (2,0,1)) |
|
|
220 | 220 | self.datablock = junk['real'] + junk['imag']*1j |
|
|
221 | 221 | |
|
|
222 | 222 | self.profileIndex = 0 |
|
|
223 | 223 | |
|
|
224 | 224 | self.flagIsNewFile = 0 |
|
|
225 | 225 | self.flagIsNewBlock = 1 |
|
|
226 | 226 | |
|
|
227 | 227 | self.nTotalBlocks += 1 |
|
|
228 | 228 | self.nReadBlocks += 1 |
|
|
229 | 229 | |
|
|
230 | 230 | return 1 |
|
|
231 | 231 | |
|
|
232 | 232 | def getFirstHeader(self): |
|
|
233 | 233 | |
|
|
234 | 234 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
235 | 235 | |
|
|
236 | 236 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
237 | 237 | |
|
|
238 | 238 | # self.dataOut.ippSeconds = self.ippSeconds |
|
|
239 | 239 | |
|
|
240 | 240 | self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt |
|
|
241 | 241 | |
|
|
242 | 242 | if self.radarControllerHeaderObj.code != None: |
|
|
243 | 243 | |
|
|
244 | 244 | self.dataOut.nCode = self.radarControllerHeaderObj.nCode |
|
|
245 | 245 | |
|
|
246 | 246 | self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud |
|
|
247 | 247 | |
|
|
248 | 248 | self.dataOut.code = self.radarControllerHeaderObj.code |
|
|
249 | 249 | |
|
|
250 | 250 | self.dataOut.dtype = self.dtype |
|
|
251 | 251 | |
|
|
252 | 252 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
253 | 253 | |
|
|
254 | 254 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|
255 | 255 | |
|
|
256 | 256 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|
257 | 257 | |
|
|
258 | 258 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
259 | 259 | |
|
|
260 | 260 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
261 | 261 | |
|
|
262 | 262 | self.dataOut.flagShiftFFT = False |
|
|
263 | 263 | |
|
|
264 | 264 | self.dataOut.flagDecodeData = False #asumo q la data no esta decodificada |
|
|
265 | 265 | |
|
|
266 | 266 | self.dataOut.flagDeflipData = False #asumo q la data no esta sin flip |
|
|
267 | 267 | |
|
|
268 | 268 | self.dataOut.flagShiftFFT = False |
|
|
269 | 269 | |
|
|
270 | 270 | def getData(self): |
|
|
271 | 271 | """ |
|
|
272 | 272 | getData obtiene una unidad de datos del buffer de lectura y la copia a la clase "Voltage" |
|
|
273 | 273 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|
274 | 274 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|
275 | 275 | |
|
|
276 | 276 | Ademas incrementa el contador del buffer en 1. |
|
|
277 | 277 | |
|
|
278 | 278 | Return: |
|
|
279 | 279 | data : retorna un perfil de voltages (alturas * canales) copiados desde el |
|
|
280 | 280 | buffer. Si no hay mas archivos a leer retorna None. |
|
|
281 | 281 | |
|
|
282 | 282 | Variables afectadas: |
|
|
283 | 283 | self.dataOut |
|
|
284 | 284 | self.profileIndex |
|
|
285 | 285 | |
|
|
286 | 286 | Affected: |
|
|
287 | 287 | self.dataOut |
|
|
288 | 288 | self.profileIndex |
|
|
289 | 289 | self.flagTimeBlock |
|
|
290 | 290 | self.flagIsNewBlock |
|
|
291 | 291 | """ |
|
|
292 | 292 | |
|
|
293 | 293 | if self.flagNoMoreFiles: |
|
|
294 | 294 | self.dataOut.flagNoData = True |
|
|
295 | 295 | print 'Process finished' |
|
|
296 | 296 | return 0 |
|
|
297 | 297 | |
|
|
298 | 298 | self.flagTimeBlock = 0 |
|
|
299 | 299 | self.flagIsNewBlock = 0 |
|
|
300 | 300 | |
|
|
301 | 301 | if self.__hasNotDataInBuffer(): |
|
|
302 | 302 | |
|
|
303 | 303 | if not( self.readNextBlock() ): |
|
|
304 | 304 | return 0 |
|
|
305 | 305 | |
|
|
306 | 306 | self.getFirstHeader() |
|
|
307 | 307 | |
|
|
308 | 308 | if self.datablock == None: |
|
|
309 | 309 | self.dataOut.flagNoData = True |
|
|
310 | 310 | return 0 |
|
|
311 | 311 | |
|
|
312 | self.dataOut.data = self.datablock[:,self.profileIndex,:] | |
|
|
312 | if self.getblock: | |
|
|
313 | self.dataOut.data = self.datablock | |
|
|
314 | self.profileIndex = self.processingHeaderObj.profilesPerBlock | |
|
|
315 | else: | |
|
|
316 | self.dataOut.data = self.datablock[:,self.profileIndex,:] | |
|
|
317 | self.profileIndex += 1 | |
|
|
313 | 318 | |
|
|
314 | 319 | self.dataOut.flagNoData = False |
|
|
315 | 320 | |
|
|
316 | 321 | self.getBasicHeader() |
|
|
317 | 322 | |
|
|
318 | self.profileIndex += 1 | |
|
|
323 | ||
|
|
319 | 324 | |
|
|
320 | 325 | self.dataOut.realtime = self.online |
|
|
321 | 326 | |
|
|
322 | 327 | return self.dataOut.data |
|
|
323 | 328 | |
|
|
324 | 329 | class VoltageWriter(JRODataWriter, Operation): |
|
|
325 | 330 | """ |
|
|
326 | 331 | Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura |
|
|
327 | 332 | de los datos siempre se realiza por bloques. |
|
|
328 | 333 | """ |
|
|
329 | 334 | |
|
|
330 | 335 | ext = ".r" |
|
|
331 | 336 | |
|
|
332 | 337 | optchar = "D" |
|
|
333 | 338 | |
|
|
334 | 339 | shapeBuffer = None |
|
|
335 | 340 | |
|
|
336 | 341 | |
|
|
337 | 342 | def __init__(self): |
|
|
338 | 343 | """ |
|
|
339 | 344 | Inicializador de la clase VoltageWriter para la escritura de datos de espectros. |
|
|
340 | 345 | |
|
|
341 | 346 | Affected: |
|
|
342 | 347 | self.dataOut |
|
|
343 | 348 | |
|
|
344 | 349 | Return: None |
|
|
345 | 350 | """ |
|
|
346 | 351 | Operation.__init__(self) |
|
|
347 | 352 | |
|
|
348 | 353 | self.nTotalBlocks = 0 |
|
|
349 | 354 | |
|
|
350 | 355 | self.profileIndex = 0 |
|
|
351 | 356 | |
|
|
352 | 357 | self.isConfig = False |
|
|
353 | 358 | |
|
|
354 | 359 | self.fp = None |
|
|
355 | 360 | |
|
|
356 | 361 | self.flagIsNewFile = 1 |
|
|
357 | 362 | |
|
|
358 | 363 | self.nTotalBlocks = 0 |
|
|
359 | 364 | |
|
|
360 | 365 | self.flagIsNewBlock = 0 |
|
|
361 | 366 | |
|
|
362 | 367 | self.setFile = None |
|
|
363 | 368 | |
|
|
364 | 369 | self.dtype = None |
|
|
365 | 370 | |
|
|
366 | 371 | self.path = None |
|
|
367 | 372 | |
|
|
368 | 373 | self.filename = None |
|
|
369 | 374 | |
|
|
370 | 375 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
371 | 376 | |
|
|
372 | 377 | self.systemHeaderObj = SystemHeader() |
|
|
373 | 378 | |
|
|
374 | 379 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
375 | 380 | |
|
|
376 | 381 | self.processingHeaderObj = ProcessingHeader() |
|
|
377 | 382 | |
|
|
378 | 383 | def hasAllDataInBuffer(self): |
|
|
379 | 384 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
380 | 385 | return 1 |
|
|
381 | 386 | return 0 |
|
|
382 | 387 | |
|
|
383 | 388 | |
|
|
384 | 389 | def setBlockDimension(self): |
|
|
385 | 390 | """ |
|
|
386 | 391 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
387 | 392 | |
|
|
388 | 393 | Affected: |
|
|
389 | 394 | self.shape_spc_Buffer |
|
|
390 | 395 | self.shape_cspc_Buffer |
|
|
391 | 396 | self.shape_dc_Buffer |
|
|
392 | 397 | |
|
|
393 | 398 | Return: None |
|
|
394 | 399 | """ |
|
|
395 | 400 | self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock, |
|
|
396 | 401 | self.processingHeaderObj.nHeights, |
|
|
397 | 402 | self.systemHeaderObj.nChannels) |
|
|
398 | 403 | |
|
|
399 | 404 | self.datablock = numpy.zeros((self.systemHeaderObj.nChannels, |
|
|
400 | 405 | self.processingHeaderObj.profilesPerBlock, |
|
|
401 | 406 | self.processingHeaderObj.nHeights), |
|
|
402 | 407 | dtype=numpy.dtype('complex64')) |
|
|
403 | 408 | |
|
|
404 | 409 | |
|
|
405 | 410 | def writeBlock(self): |
|
|
406 | 411 | """ |
|
|
407 | 412 | Escribe el buffer en el file designado |
|
|
408 | 413 | |
|
|
409 | 414 | Affected: |
|
|
410 | 415 | self.profileIndex |
|
|
411 | 416 | self.flagIsNewFile |
|
|
412 | 417 | self.flagIsNewBlock |
|
|
413 | 418 | self.nTotalBlocks |
|
|
414 | 419 | self.blockIndex |
|
|
415 | 420 | |
|
|
416 | 421 | Return: None |
|
|
417 | 422 | """ |
|
|
418 | 423 | data = numpy.zeros( self.shapeBuffer, self.dtype ) |
|
|
419 | 424 | |
|
|
420 | 425 | junk = numpy.transpose(self.datablock, (1,2,0)) |
|
|
421 | 426 | |
|
|
422 | 427 | data['real'] = junk.real |
|
|
423 | 428 | data['imag'] = junk.imag |
|
|
424 | 429 | |
|
|
425 | 430 | data = data.reshape( (-1) ) |
|
|
426 | 431 | |
|
|
427 | 432 | data.tofile( self.fp ) |
|
|
428 | 433 | |
|
|
429 | 434 | self.datablock.fill(0) |
|
|
430 | 435 | |
|
|
431 | 436 | self.profileIndex = 0 |
|
|
432 | 437 | self.flagIsNewFile = 0 |
|
|
433 | 438 | self.flagIsNewBlock = 1 |
|
|
434 | 439 | |
|
|
435 | 440 | self.blockIndex += 1 |
|
|
436 | 441 | self.nTotalBlocks += 1 |
|
|
437 | 442 | |
|
|
438 | 443 | def putData(self): |
|
|
439 | 444 | """ |
|
|
440 | 445 | Setea un bloque de datos y luego los escribe en un file |
|
|
441 | 446 | |
|
|
442 | 447 | Affected: |
|
|
443 | 448 | self.flagIsNewBlock |
|
|
444 | 449 | self.profileIndex |
|
|
445 | 450 | |
|
|
446 | 451 | Return: |
|
|
447 | 452 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
448 | 453 | 1 : Si se escribio la data de un bloque en un file |
|
|
449 | 454 | """ |
|
|
450 | 455 | if self.dataOut.flagNoData: |
|
|
451 | 456 | return 0 |
|
|
452 | 457 | |
|
|
453 | 458 | self.flagIsNewBlock = 0 |
|
|
454 | 459 | |
|
|
455 | 460 | if self.dataOut.flagTimeBlock: |
|
|
456 | 461 | |
|
|
457 | 462 | self.datablock.fill(0) |
|
|
458 | 463 | self.profileIndex = 0 |
|
|
459 | 464 | self.setNextFile() |
|
|
460 | 465 | |
|
|
461 | 466 | if self.profileIndex == 0: |
|
|
462 | 467 | self.setBasicHeader() |
|
|
463 | 468 | |
|
|
464 | 469 | self.datablock[:,self.profileIndex,:] = self.dataOut.data |
|
|
465 | 470 | |
|
|
466 | 471 | self.profileIndex += 1 |
|
|
467 | 472 | |
|
|
468 | 473 | if self.hasAllDataInBuffer(): |
|
|
469 | 474 | #if self.flagIsNewFile: |
|
|
470 | 475 | self.writeNextBlock() |
|
|
471 | 476 | # self.setFirstHeader() |
|
|
472 | 477 | |
|
|
473 | 478 | return 1 |
|
|
474 | 479 | |
|
|
475 | 480 | def __getProcessFlags(self): |
|
|
476 | 481 | |
|
|
477 | 482 | processFlags = 0 |
|
|
478 | 483 | |
|
|
479 | 484 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
480 | 485 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
481 | 486 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
482 | 487 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
483 | 488 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
484 | 489 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
485 | 490 | |
|
|
486 | 491 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
487 | 492 | |
|
|
488 | 493 | |
|
|
489 | 494 | |
|
|
490 | 495 | datatypeValueList = [PROCFLAG.DATATYPE_CHAR, |
|
|
491 | 496 | PROCFLAG.DATATYPE_SHORT, |
|
|
492 | 497 | PROCFLAG.DATATYPE_LONG, |
|
|
493 | 498 | PROCFLAG.DATATYPE_INT64, |
|
|
494 | 499 | PROCFLAG.DATATYPE_FLOAT, |
|
|
495 | 500 | PROCFLAG.DATATYPE_DOUBLE] |
|
|
496 | 501 | |
|
|
497 | 502 | |
|
|
498 | 503 | for index in range(len(dtypeList)): |
|
|
499 | 504 | if self.dataOut.dtype == dtypeList[index]: |
|
|
500 | 505 | dtypeValue = datatypeValueList[index] |
|
|
501 | 506 | break |
|
|
502 | 507 | |
|
|
503 | 508 | processFlags += dtypeValue |
|
|
504 | 509 | |
|
|
505 | 510 | if self.dataOut.flagDecodeData: |
|
|
506 | 511 | processFlags += PROCFLAG.DECODE_DATA |
|
|
507 | 512 | |
|
|
508 | 513 | if self.dataOut.flagDeflipData: |
|
|
509 | 514 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
510 | 515 | |
|
|
511 | 516 | if self.dataOut.code != None: |
|
|
512 | 517 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
513 | 518 | |
|
|
514 | 519 | if self.dataOut.nCohInt > 1: |
|
|
515 | 520 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
516 | 521 | |
|
|
517 | 522 | return processFlags |
|
|
518 | 523 | |
|
|
519 | 524 | |
|
|
520 | 525 | def __getBlockSize(self): |
|
|
521 | 526 | ''' |
|
|
522 | 527 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage |
|
|
523 | 528 | ''' |
|
|
524 | 529 | |
|
|
525 | 530 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
526 | 531 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
527 | 532 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
528 | 533 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
529 | 534 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
530 | 535 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
531 | 536 | |
|
|
532 | 537 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
533 | 538 | datatypeValueList = [1,2,4,8,4,8] |
|
|
534 | 539 | for index in range(len(dtypeList)): |
|
|
535 | 540 | if self.dataOut.dtype == dtypeList[index]: |
|
|
536 | 541 | datatypeValue = datatypeValueList[index] |
|
|
537 | 542 | break |
|
|
538 | 543 | |
|
|
539 | 544 | blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * datatypeValue * 2) |
|
|
540 | 545 | |
|
|
541 | 546 | return blocksize |
|
|
542 | 547 | |
|
|
543 | 548 | def setFirstHeader(self): |
|
|
544 | 549 | |
|
|
545 | 550 | """ |
|
|
546 | 551 | Obtiene una copia del First Header |
|
|
547 | 552 | |
|
|
548 | 553 | Affected: |
|
|
549 | 554 | self.systemHeaderObj |
|
|
550 | 555 | self.radarControllerHeaderObj |
|
|
551 | 556 | self.dtype |
|
|
552 | 557 | |
|
|
553 | 558 | Return: |
|
|
554 | 559 | None |
|
|
555 | 560 | """ |
|
|
556 | 561 | |
|
|
557 | 562 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
558 | 563 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
559 | 564 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
560 | 565 | |
|
|
561 | 566 | self.setBasicHeader() |
|
|
562 | 567 | |
|
|
563 | 568 | processingHeaderSize = 40 # bytes |
|
|
564 | 569 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|
565 | 570 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
566 | 571 | self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock |
|
|
567 | 572 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
568 | 573 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
569 | 574 | self.processingHeaderObj.processFlags = self.__getProcessFlags() |
|
|
570 | 575 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt |
|
|
571 | 576 | self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage |
|
|
572 | 577 | self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage |
|
|
573 | 578 | |
|
|
574 | 579 | # if self.dataOut.code != None: |
|
|
575 | 580 | # self.processingHeaderObj.code = self.dataOut.code |
|
|
576 | 581 | # self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
577 | 582 | # self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
578 | 583 | # codesize = int(8 + 4 * self.dataOut.nCode * self.dataOut.nBaud) |
|
|
579 | 584 | # processingHeaderSize += codesize |
|
|
580 | 585 | |
|
|
581 | 586 | if self.processingHeaderObj.nWindows != 0: |
|
|
582 | 587 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
583 | 588 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
584 | 589 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
585 | 590 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
586 | 591 | processingHeaderSize += 12 |
|
|
587 | 592 | |
|
|
588 | 593 | self.processingHeaderObj.size = processingHeaderSize No newline at end of file |
| @@ -1,1025 +1,927 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | |
|
|
3 | 3 | from jroproc_base import ProcessingUnit, Operation |
|
|
4 | 4 | from model.data.jrodata import Spectra |
|
|
5 | 5 | from model.data.jrodata import hildebrand_sekhon |
|
|
6 | 6 | |
|
|
7 | 7 | class SpectraProc(ProcessingUnit): |
|
|
8 | 8 | |
|
|
9 | 9 | def __init__(self): |
|
|
10 | 10 | |
|
|
11 | 11 | ProcessingUnit.__init__(self) |
|
|
12 | 12 | |
|
|
13 | 13 | self.buffer = None |
|
|
14 | 14 | self.firstdatatime = None |
|
|
15 | 15 | self.profIndex = 0 |
|
|
16 | 16 | self.dataOut = Spectra() |
|
|
17 | self.id_min = None | |
|
|
18 | self.id_max = None | |
|
|
17 | 19 | |
|
|
18 | 20 | def __updateObjFromInput(self): |
|
|
19 | 21 | |
|
|
20 | 22 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|
21 | 23 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|
22 | 24 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|
23 | 25 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|
24 | 26 | |
|
|
25 | 27 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
|
26 | 28 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
|
27 | 29 | self.dataOut.channelList = self.dataIn.channelList |
|
|
28 | 30 | self.dataOut.heightList = self.dataIn.heightList |
|
|
29 | 31 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
30 | 32 | # self.dataOut.nHeights = self.dataIn.nHeights |
|
|
31 | 33 | # self.dataOut.nChannels = self.dataIn.nChannels |
|
|
32 | 34 | self.dataOut.nBaud = self.dataIn.nBaud |
|
|
33 | 35 | self.dataOut.nCode = self.dataIn.nCode |
|
|
34 | 36 | self.dataOut.code = self.dataIn.code |
|
|
35 | 37 | self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
|
36 | 38 | # self.dataOut.channelIndexList = self.dataIn.channelIndexList |
|
|
37 | 39 | self.dataOut.flagTimeBlock = self.dataIn.flagTimeBlock |
|
|
38 | 40 | self.dataOut.utctime = self.firstdatatime |
|
|
39 | 41 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
|
40 | 42 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
|
41 | 43 | # self.dataOut.flagShiftFFT = self.dataIn.flagShiftFFT |
|
|
42 | 44 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|
43 | 45 | self.dataOut.nIncohInt = 1 |
|
|
44 | 46 | # self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
|
45 | 47 | self.dataOut.windowOfFilter = self.dataIn.windowOfFilter |
|
|
46 | 48 | |
|
|
47 | 49 | self.dataOut.timeInterval = self.dataIn.timeInterval*self.dataOut.nFFTPoints*self.dataOut.nIncohInt |
|
|
48 | 50 | self.dataOut.frequency = self.dataIn.frequency |
|
|
49 | 51 | self.dataOut.realtime = self.dataIn.realtime |
|
|
50 | 52 | |
|
|
51 | 53 | def __getFft(self): |
|
|
52 | 54 | """ |
|
|
53 | 55 | Convierte valores de Voltaje a Spectra |
|
|
54 | 56 | |
|
|
55 | 57 | Affected: |
|
|
56 | 58 | self.dataOut.data_spc |
|
|
57 | 59 | self.dataOut.data_cspc |
|
|
58 | 60 | self.dataOut.data_dc |
|
|
59 | 61 | self.dataOut.heightList |
|
|
60 | 62 | self.profIndex |
|
|
61 | 63 | self.buffer |
|
|
62 | 64 | self.dataOut.flagNoData |
|
|
63 | 65 | """ |
|
|
64 | 66 | fft_volt = numpy.fft.fft(self.buffer,n=self.dataOut.nFFTPoints,axis=1) |
|
|
65 | 67 | fft_volt = fft_volt.astype(numpy.dtype('complex')) |
|
|
66 | 68 | dc = fft_volt[:,0,:] |
|
|
67 | 69 | |
|
|
68 | 70 | #calculo de self-spectra |
|
|
69 | 71 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
|
|
70 | 72 | spc = fft_volt * numpy.conjugate(fft_volt) |
|
|
71 | 73 | spc = spc.real |
|
|
72 | 74 | |
|
|
73 | 75 | blocksize = 0 |
|
|
74 | 76 | blocksize += dc.size |
|
|
75 | 77 | blocksize += spc.size |
|
|
76 | 78 | |
|
|
77 | 79 | cspc = None |
|
|
78 | 80 | pairIndex = 0 |
|
|
79 | 81 | if self.dataOut.pairsList != None: |
|
|
80 | 82 | #calculo de cross-spectra |
|
|
81 | 83 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') |
|
|
82 | 84 | for pair in self.dataOut.pairsList: |
|
|
83 | 85 | cspc[pairIndex,:,:] = fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]) |
|
|
84 | 86 | pairIndex += 1 |
|
|
85 | 87 | blocksize += cspc.size |
|
|
86 | 88 | |
|
|
87 | 89 | self.dataOut.data_spc = spc |
|
|
88 | 90 | self.dataOut.data_cspc = cspc |
|
|
89 | 91 | self.dataOut.data_dc = dc |
|
|
90 | 92 | self.dataOut.blockSize = blocksize |
|
|
91 | 93 | self.dataOut.flagShiftFFT = False |
|
|
92 | 94 | |
|
|
93 | 95 | def run(self, nProfiles=None, nFFTPoints=None, pairsList=[], ippFactor=None): |
|
|
94 | 96 | |
|
|
95 | 97 | self.dataOut.flagNoData = True |
|
|
96 | 98 | |
|
|
97 | 99 | if self.dataIn.type == "Spectra": |
|
|
98 | 100 | self.dataOut.copy(self.dataIn) |
|
|
99 | 101 | return True |
|
|
100 | 102 | |
|
|
101 | 103 | if self.dataIn.type == "Voltage": |
|
|
102 | 104 | |
|
|
103 | 105 | if nFFTPoints == None: |
|
|
104 | 106 | raise ValueError, "This SpectraProc.run() need nFFTPoints input variable" |
|
|
105 | 107 | |
|
|
106 |
nProfiles = |
|
|
|
107 | ||
|
|
108 | # if pairsList == None: | |
|
|
109 | # nPairs = 0 | |
|
|
110 | # else: | |
|
|
111 | # nPairs = len(pairsList) | |
|
|
108 | if nProfiles == None: | |
|
|
109 | raise ValueError, "This SpectraProc.run() need nProfiles input variable" | |
|
|
110 | ||
|
|
112 | 111 | |
|
|
113 | 112 | if ippFactor == None: |
|
|
114 | 113 | ippFactor = 1 |
|
|
115 | 114 | self.dataOut.ippFactor = ippFactor |
|
|
116 | 115 | |
|
|
117 | 116 | self.dataOut.nFFTPoints = nFFTPoints |
|
|
118 | 117 | self.dataOut.pairsList = pairsList |
|
|
119 | # self.dataOut.nPairs = nPairs | |
|
|
120 | ||
|
|
118 | ||
|
|
121 | 119 | if self.buffer == None: |
|
|
122 | 120 | self.buffer = numpy.zeros((self.dataIn.nChannels, |
|
|
123 | 121 | nProfiles, |
|
|
124 | 122 | self.dataIn.nHeights), |
|
|
125 |
|
|
|
|
123 | dtype='complex') | |
|
|
124 | self.id_min = 0 | |
|
|
125 | self.id_max = self.dataIn.data.shape[1] | |
|
|
126 | 126 | |
|
|
127 | ||
|
|
128 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() | |
|
|
129 | self.profIndex += 1 | |
|
|
127 | if len(self.dataIn.data.shape) == 2: | |
|
|
128 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() | |
|
|
129 | self.profIndex += 1 | |
|
|
130 | else: | |
|
|
131 | if self.dataIn.data.shape[1] == nProfiles: | |
|
|
132 | self.buffer = self.dataIn.data.copy() | |
|
|
133 | self.profIndex = nProfiles | |
|
|
134 | elif self.dataIn.data.shape[1] < nProfiles: | |
|
|
135 | self.buffer[:,self.id_min:self.id_max,:] = self.dataIn.data | |
|
|
136 | self.profIndex += self.dataIn.data.shape[1] | |
|
|
137 | self.id_min += self.dataIn.data.shape[1] | |
|
|
138 | self.id_max += self.dataIn.data.shape[1] | |
|
|
139 | else: | |
|
|
140 | raise ValueError, "The type object %s has %d profiles, it should be equal to %d profiles"%(self.dataIn.type,self.dataIn.data.shape[1],nProfiles) | |
|
|
141 | self.dataOut.flagNoData = True | |
|
|
142 | return 0 | |
|
|
143 | ||
|
|
130 | 144 | |
|
|
131 | 145 | if self.firstdatatime == None: |
|
|
132 | 146 | self.firstdatatime = self.dataIn.utctime |
|
|
133 | 147 | |
|
|
134 | 148 | if self.profIndex == nProfiles: |
|
|
135 | 149 | self.__updateObjFromInput() |
|
|
136 | 150 | self.__getFft() |
|
|
137 | 151 | |
|
|
138 | 152 | self.dataOut.flagNoData = False |
|
|
139 | 153 | |
|
|
140 | 154 | self.buffer = None |
|
|
141 | 155 | self.firstdatatime = None |
|
|
142 | 156 | self.profIndex = 0 |
|
|
143 | 157 | |
|
|
144 | 158 | return True |
|
|
145 | 159 | |
|
|
146 | 160 | raise ValueError, "The type object %s is not valid"%(self.dataIn.type) |
|
|
147 | 161 | |
|
|
148 | 162 | def selectChannels(self, channelList): |
|
|
149 | 163 | |
|
|
150 | 164 | channelIndexList = [] |
|
|
151 | 165 | |
|
|
152 | 166 | for channel in channelList: |
|
|
153 | 167 | index = self.dataOut.channelList.index(channel) |
|
|
154 | 168 | channelIndexList.append(index) |
|
|
155 | 169 | |
|
|
156 | 170 | self.selectChannelsByIndex(channelIndexList) |
|
|
157 | 171 | |
|
|
158 | 172 | def selectChannelsByIndex(self, channelIndexList): |
|
|
159 | 173 | """ |
|
|
160 | 174 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
161 | 175 | |
|
|
162 | 176 | Input: |
|
|
163 | 177 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
164 | 178 | |
|
|
165 | 179 | Affected: |
|
|
166 | 180 | self.dataOut.data_spc |
|
|
167 | 181 | self.dataOut.channelIndexList |
|
|
168 | 182 | self.dataOut.nChannels |
|
|
169 | 183 | |
|
|
170 | 184 | Return: |
|
|
171 | 185 | None |
|
|
172 | 186 | """ |
|
|
173 | 187 | |
|
|
174 | 188 | for channelIndex in channelIndexList: |
|
|
175 | 189 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
176 | 190 | print channelIndexList |
|
|
177 | 191 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
|
178 | 192 | |
|
|
179 | 193 | # nChannels = len(channelIndexList) |
|
|
180 | 194 | |
|
|
181 | 195 | data_spc = self.dataOut.data_spc[channelIndexList,:] |
|
|
182 | 196 | |
|
|
183 | 197 | self.dataOut.data_spc = data_spc |
|
|
184 | 198 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
185 | 199 | # self.dataOut.nChannels = nChannels |
|
|
186 | 200 | |
|
|
187 | 201 | return 1 |
|
|
188 | 202 | |
|
|
189 | 203 | def selectHeights(self, minHei, maxHei): |
|
|
190 | 204 | """ |
|
|
191 | 205 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|
192 | 206 | minHei <= height <= maxHei |
|
|
193 | 207 | |
|
|
194 | 208 | Input: |
|
|
195 | 209 | minHei : valor minimo de altura a considerar |
|
|
196 | 210 | maxHei : valor maximo de altura a considerar |
|
|
197 | 211 | |
|
|
198 | 212 | Affected: |
|
|
199 | 213 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|
200 | 214 | |
|
|
201 | 215 | Return: |
|
|
202 | 216 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
203 | 217 | """ |
|
|
204 | 218 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|
205 | 219 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|
206 | 220 | |
|
|
207 | 221 | if (maxHei > self.dataOut.heightList[-1]): |
|
|
208 | 222 | maxHei = self.dataOut.heightList[-1] |
|
|
209 | 223 | # raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|
210 | 224 | |
|
|
211 | 225 | minIndex = 0 |
|
|
212 | 226 | maxIndex = 0 |
|
|
213 | 227 | heights = self.dataOut.heightList |
|
|
214 | 228 | |
|
|
215 | 229 | inda = numpy.where(heights >= minHei) |
|
|
216 | 230 | indb = numpy.where(heights <= maxHei) |
|
|
217 | 231 | |
|
|
218 | 232 | try: |
|
|
219 | 233 | minIndex = inda[0][0] |
|
|
220 | 234 | except: |
|
|
221 | 235 | minIndex = 0 |
|
|
222 | 236 | |
|
|
223 | 237 | try: |
|
|
224 | 238 | maxIndex = indb[0][-1] |
|
|
225 | 239 | except: |
|
|
226 | 240 | maxIndex = len(heights) |
|
|
227 | 241 | |
|
|
228 | 242 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
|
229 | 243 | |
|
|
230 | 244 | return 1 |
|
|
231 | 245 | |
|
|
232 | 246 | def getBeaconSignal(self, tauindex = 0, channelindex = 0, hei_ref=None): |
|
|
233 | 247 | newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) |
|
|
234 | 248 | |
|
|
235 | 249 | if hei_ref != None: |
|
|
236 | 250 | newheis = numpy.where(self.dataOut.heightList>hei_ref) |
|
|
237 | 251 | |
|
|
238 | 252 | minIndex = min(newheis[0]) |
|
|
239 | 253 | maxIndex = max(newheis[0]) |
|
|
240 | 254 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
|
241 | 255 | heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|
242 | 256 | |
|
|
243 | 257 | # determina indices |
|
|
244 | 258 | nheis = int(self.dataOut.radarControllerHeaderObj.txB/(self.dataOut.heightList[1]-self.dataOut.heightList[0])) |
|
|
245 | 259 | avg_dB = 10*numpy.log10(numpy.sum(data_spc[channelindex,:,:],axis=0)) |
|
|
246 | 260 | beacon_dB = numpy.sort(avg_dB)[-nheis:] |
|
|
247 | 261 | beacon_heiIndexList = [] |
|
|
248 | 262 | for val in avg_dB.tolist(): |
|
|
249 | 263 | if val >= beacon_dB[0]: |
|
|
250 | 264 | beacon_heiIndexList.append(avg_dB.tolist().index(val)) |
|
|
251 | 265 | |
|
|
252 | 266 | #data_spc = data_spc[:,:,beacon_heiIndexList] |
|
|
253 | 267 | data_cspc = None |
|
|
254 | 268 | if self.dataOut.data_cspc != None: |
|
|
255 | 269 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
|
256 | 270 | #data_cspc = data_cspc[:,:,beacon_heiIndexList] |
|
|
257 | 271 | |
|
|
258 | 272 | data_dc = None |
|
|
259 | 273 | if self.dataOut.data_dc != None: |
|
|
260 | 274 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
|
261 | 275 | #data_dc = data_dc[:,beacon_heiIndexList] |
|
|
262 | 276 | |
|
|
263 | 277 | self.dataOut.data_spc = data_spc |
|
|
264 | 278 | self.dataOut.data_cspc = data_cspc |
|
|
265 | 279 | self.dataOut.data_dc = data_dc |
|
|
266 | 280 | self.dataOut.heightList = heightList |
|
|
267 | 281 | self.dataOut.beacon_heiIndexList = beacon_heiIndexList |
|
|
268 | 282 | |
|
|
269 | 283 | return 1 |
|
|
270 | 284 | |
|
|
271 | 285 | |
|
|
272 | 286 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|
273 | 287 | """ |
|
|
274 | 288 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|
275 | 289 | minIndex <= index <= maxIndex |
|
|
276 | 290 | |
|
|
277 | 291 | Input: |
|
|
278 | 292 | minIndex : valor de indice minimo de altura a considerar |
|
|
279 | 293 | maxIndex : valor de indice maximo de altura a considerar |
|
|
280 | 294 | |
|
|
281 | 295 | Affected: |
|
|
282 | 296 | self.dataOut.data_spc |
|
|
283 | 297 | self.dataOut.data_cspc |
|
|
284 | 298 | self.dataOut.data_dc |
|
|
285 | 299 | self.dataOut.heightList |
|
|
286 | 300 | |
|
|
287 | 301 | Return: |
|
|
288 | 302 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
289 | 303 | """ |
|
|
290 | 304 | |
|
|
291 | 305 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
292 | 306 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
293 | 307 | |
|
|
294 | 308 | if (maxIndex >= self.dataOut.nHeights): |
|
|
295 | 309 | maxIndex = self.dataOut.nHeights-1 |
|
|
296 | 310 | # raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
297 | 311 | |
|
|
298 | 312 | # nHeights = maxIndex - minIndex + 1 |
|
|
299 | 313 | |
|
|
300 | 314 | #Spectra |
|
|
301 | 315 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
|
302 | 316 | |
|
|
303 | 317 | data_cspc = None |
|
|
304 | 318 | if self.dataOut.data_cspc != None: |
|
|
305 | 319 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
|
306 | 320 | |
|
|
307 | 321 | data_dc = None |
|
|
308 | 322 | if self.dataOut.data_dc != None: |
|
|
309 | 323 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
|
310 | 324 | |
|
|
311 | 325 | self.dataOut.data_spc = data_spc |
|
|
312 | 326 | self.dataOut.data_cspc = data_cspc |
|
|
313 | 327 | self.dataOut.data_dc = data_dc |
|
|
314 | 328 | |
|
|
315 | 329 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|
316 | 330 | |
|
|
317 | 331 | return 1 |
|
|
318 | 332 | |
|
|
319 | 333 | def removeDC(self, mode = 2): |
|
|
320 | 334 | jspectra = self.dataOut.data_spc |
|
|
321 | 335 | jcspectra = self.dataOut.data_cspc |
|
|
322 | 336 | |
|
|
323 | 337 | |
|
|
324 | 338 | num_chan = jspectra.shape[0] |
|
|
325 | 339 | num_hei = jspectra.shape[2] |
|
|
326 | 340 | |
|
|
327 | 341 | if jcspectra != None: |
|
|
328 | 342 | jcspectraExist = True |
|
|
329 | 343 | num_pairs = jcspectra.shape[0] |
|
|
330 | 344 | else: jcspectraExist = False |
|
|
331 | 345 | |
|
|
332 | 346 | freq_dc = jspectra.shape[1]/2 |
|
|
333 | 347 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc |
|
|
334 | 348 | |
|
|
335 | 349 | if ind_vel[0]<0: |
|
|
336 | 350 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof |
|
|
337 | 351 | |
|
|
338 | 352 | if mode == 1: |
|
|
339 | 353 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION |
|
|
340 | 354 | |
|
|
341 | 355 | if jcspectraExist: |
|
|
342 | 356 | jcspectra[:,freq_dc,:] = (jcspectra[:,ind_vel[1],:] + jcspectra[:,ind_vel[2],:])/2 |
|
|
343 | 357 | |
|
|
344 | 358 | if mode == 2: |
|
|
345 | 359 | |
|
|
346 | 360 | vel = numpy.array([-2,-1,1,2]) |
|
|
347 | 361 | xx = numpy.zeros([4,4]) |
|
|
348 | 362 | |
|
|
349 | 363 | for fil in range(4): |
|
|
350 | 364 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) |
|
|
351 | 365 | |
|
|
352 | 366 | xx_inv = numpy.linalg.inv(xx) |
|
|
353 | 367 | xx_aux = xx_inv[0,:] |
|
|
354 | 368 | |
|
|
355 | 369 | for ich in range(num_chan): |
|
|
356 | 370 | yy = jspectra[ich,ind_vel,:] |
|
|
357 | 371 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
|
358 | 372 | |
|
|
359 | 373 | junkid = jspectra[ich,freq_dc,:]<=0 |
|
|
360 | 374 | cjunkid = sum(junkid) |
|
|
361 | 375 | |
|
|
362 | 376 | if cjunkid.any(): |
|
|
363 | 377 | jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2 |
|
|
364 | 378 | |
|
|
365 | 379 | if jcspectraExist: |
|
|
366 | 380 | for ip in range(num_pairs): |
|
|
367 | 381 | yy = jcspectra[ip,ind_vel,:] |
|
|
368 | 382 | jcspectra[ip,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
|
369 | 383 | |
|
|
370 | 384 | |
|
|
371 | 385 | self.dataOut.data_spc = jspectra |
|
|
372 | 386 | self.dataOut.data_cspc = jcspectra |
|
|
373 | 387 | |
|
|
374 | 388 | return 1 |
|
|
375 | 389 | |
|
|
376 | 390 | def removeInterference(self, interf = 2,hei_interf = None, nhei_interf = None, offhei_interf = None): |
|
|
377 | 391 | |
|
|
378 | 392 | jspectra = self.dataOut.data_spc |
|
|
379 | 393 | jcspectra = self.dataOut.data_cspc |
|
|
380 | 394 | jnoise = self.dataOut.getNoise() |
|
|
381 | 395 | num_incoh = self.dataOut.nIncohInt |
|
|
382 | 396 | |
|
|
383 | 397 | num_channel = jspectra.shape[0] |
|
|
384 | 398 | num_prof = jspectra.shape[1] |
|
|
385 | 399 | num_hei = jspectra.shape[2] |
|
|
386 | 400 | |
|
|
387 | 401 | #hei_interf |
|
|
388 | 402 | if hei_interf == None: |
|
|
389 | 403 | count_hei = num_hei/2 #Como es entero no importa |
|
|
390 | 404 | hei_interf = numpy.asmatrix(range(count_hei)) + num_hei - count_hei |
|
|
391 | 405 | hei_interf = numpy.asarray(hei_interf)[0] |
|
|
392 | 406 | #nhei_interf |
|
|
393 | 407 | if (nhei_interf == None): |
|
|
394 | 408 | nhei_interf = 5 |
|
|
395 | 409 | if (nhei_interf < 1): |
|
|
396 | 410 | nhei_interf = 1 |
|
|
397 | 411 | if (nhei_interf > count_hei): |
|
|
398 | 412 | nhei_interf = count_hei |
|
|
399 | 413 | if (offhei_interf == None): |
|
|
400 | 414 | offhei_interf = 0 |
|
|
401 | 415 | |
|
|
402 | 416 | ind_hei = range(num_hei) |
|
|
403 | 417 | # mask_prof = numpy.asarray(range(num_prof - 2)) + 1 |
|
|
404 | 418 | # mask_prof[range(num_prof/2 - 1,len(mask_prof))] += 1 |
|
|
405 | 419 | mask_prof = numpy.asarray(range(num_prof)) |
|
|
406 | 420 | num_mask_prof = mask_prof.size |
|
|
407 | 421 | comp_mask_prof = [0, num_prof/2] |
|
|
408 | 422 | |
|
|
409 | 423 | |
|
|
410 | 424 | #noise_exist: Determina si la variable jnoise ha sido definida y contiene la informacion del ruido de cada canal |
|
|
411 | 425 | if (jnoise.size < num_channel or numpy.isnan(jnoise).any()): |
|
|
412 | 426 | jnoise = numpy.nan |
|
|
413 | 427 | noise_exist = jnoise[0] < numpy.Inf |
|
|
414 | 428 | |
|
|
415 | 429 | #Subrutina de Remocion de la Interferencia |
|
|
416 | 430 | for ich in range(num_channel): |
|
|
417 | 431 | #Se ordena los espectros segun su potencia (menor a mayor) |
|
|
418 | 432 | power = jspectra[ich,mask_prof,:] |
|
|
419 | 433 | power = power[:,hei_interf] |
|
|
420 | 434 | power = power.sum(axis = 0) |
|
|
421 | 435 | psort = power.ravel().argsort() |
|
|
422 | 436 | |
|
|
423 | 437 | #Se estima la interferencia promedio en los Espectros de Potencia empleando |
|
|
424 | 438 | junkspc_interf = jspectra[ich,:,hei_interf[psort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
|
425 | 439 | |
|
|
426 | 440 | if noise_exist: |
|
|
427 | 441 | # tmp_noise = jnoise[ich] / num_prof |
|
|
428 | 442 | tmp_noise = jnoise[ich] |
|
|
429 | 443 | junkspc_interf = junkspc_interf - tmp_noise |
|
|
430 | 444 | #junkspc_interf[:,comp_mask_prof] = 0 |
|
|
431 | 445 | |
|
|
432 | 446 | jspc_interf = junkspc_interf.sum(axis = 0) / nhei_interf |
|
|
433 | 447 | jspc_interf = jspc_interf.transpose() |
|
|
434 | 448 | #Calculando el espectro de interferencia promedio |
|
|
435 | 449 | noiseid = numpy.where(jspc_interf <= tmp_noise/ math.sqrt(num_incoh)) |
|
|
436 | 450 | noiseid = noiseid[0] |
|
|
437 | 451 | cnoiseid = noiseid.size |
|
|
438 | 452 | interfid = numpy.where(jspc_interf > tmp_noise/ math.sqrt(num_incoh)) |
|
|
439 | 453 | interfid = interfid[0] |
|
|
440 | 454 | cinterfid = interfid.size |
|
|
441 | 455 | |
|
|
442 | 456 | if (cnoiseid > 0): jspc_interf[noiseid] = 0 |
|
|
443 | 457 | |
|
|
444 | 458 | #Expandiendo los perfiles a limpiar |
|
|
445 | 459 | if (cinterfid > 0): |
|
|
446 | 460 | new_interfid = (numpy.r_[interfid - 1, interfid, interfid + 1] + num_prof)%num_prof |
|
|
447 | 461 | new_interfid = numpy.asarray(new_interfid) |
|
|
448 | 462 | new_interfid = {x for x in new_interfid} |
|
|
449 | 463 | new_interfid = numpy.array(list(new_interfid)) |
|
|
450 | 464 | new_cinterfid = new_interfid.size |
|
|
451 | 465 | else: new_cinterfid = 0 |
|
|
452 | 466 | |
|
|
453 | 467 | for ip in range(new_cinterfid): |
|
|
454 | 468 | ind = junkspc_interf[:,new_interfid[ip]].ravel().argsort() |
|
|
455 | 469 | jspc_interf[new_interfid[ip]] = junkspc_interf[ind[nhei_interf/2],new_interfid[ip]] |
|
|
456 | 470 | |
|
|
457 | 471 | |
|
|
458 | 472 | jspectra[ich,:,ind_hei] = jspectra[ich,:,ind_hei] - jspc_interf #Corregir indices |
|
|
459 | 473 | |
|
|
460 | 474 | #Removiendo la interferencia del punto de mayor interferencia |
|
|
461 | 475 | ListAux = jspc_interf[mask_prof].tolist() |
|
|
462 | 476 | maxid = ListAux.index(max(ListAux)) |
|
|
463 | 477 | |
|
|
464 | 478 | |
|
|
465 | 479 | if cinterfid > 0: |
|
|
466 | 480 | for ip in range(cinterfid*(interf == 2) - 1): |
|
|
467 | 481 | ind = (jspectra[ich,interfid[ip],:] < tmp_noise*(1 + 1/math.sqrt(num_incoh))).nonzero() |
|
|
468 | 482 | cind = len(ind) |
|
|
469 | 483 | |
|
|
470 | 484 | if (cind > 0): |
|
|
471 | 485 | jspectra[ich,interfid[ip],ind] = tmp_noise*(1 + (numpy.random.uniform(cind) - 0.5)/math.sqrt(num_incoh)) |
|
|
472 | 486 | |
|
|
473 | 487 | ind = numpy.array([-2,-1,1,2]) |
|
|
474 | 488 | xx = numpy.zeros([4,4]) |
|
|
475 | 489 | |
|
|
476 | 490 | for id1 in range(4): |
|
|
477 | 491 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
|
478 | 492 | |
|
|
479 | 493 | xx_inv = numpy.linalg.inv(xx) |
|
|
480 | 494 | xx = xx_inv[:,0] |
|
|
481 | 495 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
|
482 | 496 | yy = jspectra[ich,mask_prof[ind],:] |
|
|
483 | 497 | jspectra[ich,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
|
484 | 498 | |
|
|
485 | 499 | |
|
|
486 | 500 | indAux = (jspectra[ich,:,:] < tmp_noise*(1-1/math.sqrt(num_incoh))).nonzero() |
|
|
487 | 501 | jspectra[ich,indAux[0],indAux[1]] = tmp_noise * (1 - 1/math.sqrt(num_incoh)) |
|
|
488 | 502 | |
|
|
489 | 503 | #Remocion de Interferencia en el Cross Spectra |
|
|
490 | 504 | if jcspectra == None: return jspectra, jcspectra |
|
|
491 | 505 | num_pairs = jcspectra.size/(num_prof*num_hei) |
|
|
492 | 506 | jcspectra = jcspectra.reshape(num_pairs, num_prof, num_hei) |
|
|
493 | 507 | |
|
|
494 | 508 | for ip in range(num_pairs): |
|
|
495 | 509 | |
|
|
496 | 510 | #------------------------------------------- |
|
|
497 | 511 | |
|
|
498 | 512 | cspower = numpy.abs(jcspectra[ip,mask_prof,:]) |
|
|
499 | 513 | cspower = cspower[:,hei_interf] |
|
|
500 | 514 | cspower = cspower.sum(axis = 0) |
|
|
501 | 515 | |
|
|
502 | 516 | cspsort = cspower.ravel().argsort() |
|
|
503 | 517 | junkcspc_interf = jcspectra[ip,:,hei_interf[cspsort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
|
504 | 518 | junkcspc_interf = junkcspc_interf.transpose() |
|
|
505 | 519 | jcspc_interf = junkcspc_interf.sum(axis = 1)/nhei_interf |
|
|
506 | 520 | |
|
|
507 | 521 | ind = numpy.abs(jcspc_interf[mask_prof]).ravel().argsort() |
|
|
508 | 522 | |
|
|
509 | 523 | median_real = numpy.median(numpy.real(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
|
510 | 524 | median_imag = numpy.median(numpy.imag(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
|
511 | 525 | junkcspc_interf[comp_mask_prof,:] = numpy.complex(median_real, median_imag) |
|
|
512 | 526 | |
|
|
513 | 527 | for iprof in range(num_prof): |
|
|
514 | 528 | ind = numpy.abs(junkcspc_interf[iprof,:]).ravel().argsort() |
|
|
515 | 529 | jcspc_interf[iprof] = junkcspc_interf[iprof, ind[nhei_interf/2]] |
|
|
516 | 530 | |
|
|
517 | 531 | #Removiendo la Interferencia |
|
|
518 | 532 | jcspectra[ip,:,ind_hei] = jcspectra[ip,:,ind_hei] - jcspc_interf |
|
|
519 | 533 | |
|
|
520 | 534 | ListAux = numpy.abs(jcspc_interf[mask_prof]).tolist() |
|
|
521 | 535 | maxid = ListAux.index(max(ListAux)) |
|
|
522 | 536 | |
|
|
523 | 537 | ind = numpy.array([-2,-1,1,2]) |
|
|
524 | 538 | xx = numpy.zeros([4,4]) |
|
|
525 | 539 | |
|
|
526 | 540 | for id1 in range(4): |
|
|
527 | 541 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
|
528 | 542 | |
|
|
529 | 543 | xx_inv = numpy.linalg.inv(xx) |
|
|
530 | 544 | xx = xx_inv[:,0] |
|
|
531 | 545 | |
|
|
532 | 546 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
|
533 | 547 | yy = jcspectra[ip,mask_prof[ind],:] |
|
|
534 | 548 | jcspectra[ip,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
|
535 | 549 | |
|
|
536 | 550 | #Guardar Resultados |
|
|
537 | 551 | self.dataOut.data_spc = jspectra |
|
|
538 | 552 | self.dataOut.data_cspc = jcspectra |
|
|
539 | 553 | |
|
|
540 | 554 | return 1 |
|
|
541 | 555 | |
|
|
542 | 556 | def setRadarFrequency(self, frequency=None): |
|
|
543 | 557 | if frequency != None: |
|
|
544 | 558 | self.dataOut.frequency = frequency |
|
|
545 | 559 | |
|
|
546 | 560 | return 1 |
|
|
547 | 561 | |
|
|
548 | 562 | def getNoise(self, minHei=None, maxHei=None, minVel=None, maxVel=None): |
|
|
549 | 563 | #validacion de rango |
|
|
550 | 564 | if minHei == None: |
|
|
551 | 565 | minHei = self.dataOut.heightList[0] |
|
|
552 | 566 | |
|
|
553 | 567 | if maxHei == None: |
|
|
554 | 568 | maxHei = self.dataOut.heightList[-1] |
|
|
555 | 569 | |
|
|
556 | 570 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|
557 | 571 | print 'minHei: %.2f is out of the heights range'%(minHei) |
|
|
558 | 572 | print 'minHei is setting to %.2f'%(self.dataOut.heightList[0]) |
|
|
559 | 573 | minHei = self.dataOut.heightList[0] |
|
|
560 | 574 | |
|
|
561 | 575 | if (maxHei > self.dataOut.heightList[-1]) or (maxHei < minHei): |
|
|
562 | 576 | print 'maxHei: %.2f is out of the heights range'%(maxHei) |
|
|
563 | 577 | print 'maxHei is setting to %.2f'%(self.dataOut.heightList[-1]) |
|
|
564 | 578 | maxHei = self.dataOut.heightList[-1] |
|
|
565 | 579 | |
|
|
566 | 580 | # validacion de velocidades |
|
|
567 | 581 | velrange = self.dataOut.getVelRange(1) |
|
|
568 | 582 | |
|
|
569 | 583 | if minVel == None: |
|
|
570 | 584 | minVel = velrange[0] |
|
|
571 | 585 | |
|
|
572 | 586 | if maxVel == None: |
|
|
573 | 587 | maxVel = velrange[-1] |
|
|
574 | 588 | |
|
|
575 | 589 | if (minVel < velrange[0]) or (minVel > maxVel): |
|
|
576 | 590 | print 'minVel: %.2f is out of the velocity range'%(minVel) |
|
|
577 | 591 | print 'minVel is setting to %.2f'%(velrange[0]) |
|
|
578 | 592 | minVel = velrange[0] |
|
|
579 | 593 | |
|
|
580 | 594 | if (maxVel > velrange[-1]) or (maxVel < minVel): |
|
|
581 | 595 | print 'maxVel: %.2f is out of the velocity range'%(maxVel) |
|
|
582 | 596 | print 'maxVel is setting to %.2f'%(velrange[-1]) |
|
|
583 | 597 | maxVel = velrange[-1] |
|
|
584 | 598 | |
|
|
585 | 599 | # seleccion de indices para rango |
|
|
586 | 600 | minIndex = 0 |
|
|
587 | 601 | maxIndex = 0 |
|
|
588 | 602 | heights = self.dataOut.heightList |
|
|
589 | 603 | |
|
|
590 | 604 | inda = numpy.where(heights >= minHei) |
|
|
591 | 605 | indb = numpy.where(heights <= maxHei) |
|
|
592 | 606 | |
|
|
593 | 607 | try: |
|
|
594 | 608 | minIndex = inda[0][0] |
|
|
595 | 609 | except: |
|
|
596 | 610 | minIndex = 0 |
|
|
597 | 611 | |
|
|
598 | 612 | try: |
|
|
599 | 613 | maxIndex = indb[0][-1] |
|
|
600 | 614 | except: |
|
|
601 | 615 | maxIndex = len(heights) |
|
|
602 | 616 | |
|
|
603 | 617 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
604 | 618 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
605 | 619 | |
|
|
606 | 620 | if (maxIndex >= self.dataOut.nHeights): |
|
|
607 | 621 | maxIndex = self.dataOut.nHeights-1 |
|
|
608 | 622 | |
|
|
609 | 623 | # seleccion de indices para velocidades |
|
|
610 | 624 | indminvel = numpy.where(velrange >= minVel) |
|
|
611 | 625 | indmaxvel = numpy.where(velrange <= maxVel) |
|
|
612 | 626 | try: |
|
|
613 | 627 | minIndexVel = indminvel[0][0] |
|
|
614 | 628 | except: |
|
|
615 | 629 | minIndexVel = 0 |
|
|
616 | 630 | |
|
|
617 | 631 | try: |
|
|
618 | 632 | maxIndexVel = indmaxvel[0][-1] |
|
|
619 | 633 | except: |
|
|
620 | 634 | maxIndexVel = len(velrange) |
|
|
621 | 635 | |
|
|
622 | 636 | #seleccion del espectro |
|
|
623 | 637 | data_spc = self.dataOut.data_spc[:,minIndexVel:maxIndexVel+1,minIndex:maxIndex+1] |
|
|
624 | 638 | #estimacion de ruido |
|
|
625 | 639 | noise = numpy.zeros(self.dataOut.nChannels) |
|
|
626 | 640 | |
|
|
627 | 641 | for channel in range(self.dataOut.nChannels): |
|
|
628 | 642 | daux = data_spc[channel,:,:] |
|
|
629 | 643 | noise[channel] = hildebrand_sekhon(daux, self.dataOut.nIncohInt) |
|
|
630 | 644 | |
|
|
631 | 645 | self.dataOut.noise_estimation = noise.copy() |
|
|
632 | 646 | |
|
|
633 | 647 | return 1 |
|
|
634 | 648 | |
|
|
635 | 649 | class IncohInt(Operation): |
|
|
636 | 650 | |
|
|
637 | 651 | |
|
|
638 | 652 | __profIndex = 0 |
|
|
639 | 653 | __withOverapping = False |
|
|
640 | 654 | |
|
|
641 | 655 | __byTime = False |
|
|
642 | 656 | __initime = None |
|
|
643 | 657 | __lastdatatime = None |
|
|
644 | 658 | __integrationtime = None |
|
|
645 | 659 | |
|
|
646 | 660 | __buffer_spc = None |
|
|
647 | 661 | __buffer_cspc = None |
|
|
648 | 662 | __buffer_dc = None |
|
|
649 | 663 | |
|
|
650 | 664 | __dataReady = False |
|
|
651 | 665 | |
|
|
652 | 666 | __timeInterval = None |
|
|
653 | 667 | |
|
|
654 | 668 | n = None |
|
|
655 | 669 | |
|
|
656 | 670 | |
|
|
657 | 671 | |
|
|
658 | 672 | def __init__(self): |
|
|
659 | 673 | |
|
|
660 | 674 | Operation.__init__(self) |
|
|
661 | 675 | # self.isConfig = False |
|
|
662 | 676 | |
|
|
663 | 677 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|
664 | 678 | """ |
|
|
665 | 679 | Set the parameters of the integration class. |
|
|
666 | 680 | |
|
|
667 | 681 | Inputs: |
|
|
668 | 682 | |
|
|
669 | 683 | n : Number of coherent integrations |
|
|
670 | 684 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
671 | 685 | overlapping : |
|
|
672 | 686 | |
|
|
673 | 687 | """ |
|
|
674 | 688 | |
|
|
675 | 689 | self.__initime = None |
|
|
676 | 690 | self.__lastdatatime = 0 |
|
|
677 | 691 | self.__buffer_spc = None |
|
|
678 | 692 | self.__buffer_cspc = None |
|
|
679 | 693 | self.__buffer_dc = None |
|
|
680 | 694 | self.__dataReady = False |
|
|
681 | 695 | |
|
|
682 | 696 | |
|
|
683 | 697 | if n == None and timeInterval == None: |
|
|
684 | 698 | raise ValueError, "n or timeInterval should be specified ..." |
|
|
685 | 699 | |
|
|
686 | 700 | if n != None: |
|
|
687 | 701 | self.n = n |
|
|
688 | 702 | self.__byTime = False |
|
|
689 | 703 | else: |
|
|
690 | 704 | self.__integrationtime = timeInterval #if (type(timeInterval)!=integer) -> change this line |
|
|
691 | 705 | self.n = 9999 |
|
|
692 | 706 | self.__byTime = True |
|
|
693 | 707 | |
|
|
694 | 708 | if overlapping: |
|
|
695 | 709 | self.__withOverapping = True |
|
|
696 | 710 | else: |
|
|
697 | 711 | self.__withOverapping = False |
|
|
698 | 712 | self.__buffer_spc = 0 |
|
|
699 | 713 | self.__buffer_cspc = 0 |
|
|
700 | 714 | self.__buffer_dc = 0 |
|
|
701 | 715 | |
|
|
702 | 716 | self.__profIndex = 0 |
|
|
703 | 717 | |
|
|
704 | 718 | def putData(self, data_spc, data_cspc, data_dc): |
|
|
705 | 719 | |
|
|
706 | 720 | """ |
|
|
707 | 721 | Add a profile to the __buffer_spc and increase in one the __profileIndex |
|
|
708 | 722 | |
|
|
709 | 723 | """ |
|
|
710 | 724 | |
|
|
711 | 725 | if not self.__withOverapping: |
|
|
712 | 726 | self.__buffer_spc += data_spc |
|
|
713 | 727 | |
|
|
714 | 728 | if data_cspc == None: |
|
|
715 | 729 | self.__buffer_cspc = None |
|
|
716 | 730 | else: |
|
|
717 | 731 | self.__buffer_cspc += data_cspc |
|
|
718 | 732 | |
|
|
719 | 733 | if data_dc == None: |
|
|
720 | 734 | self.__buffer_dc = None |
|
|
721 | 735 | else: |
|
|
722 | 736 | self.__buffer_dc += data_dc |
|
|
723 | 737 | |
|
|
724 | 738 | self.__profIndex += 1 |
|
|
725 | 739 | return |
|
|
726 | 740 | |
|
|
727 | 741 | #Overlapping data |
|
|
728 | 742 | nChannels, nFFTPoints, nHeis = data_spc.shape |
|
|
729 | 743 | data_spc = numpy.reshape(data_spc, (1, nChannels, nFFTPoints, nHeis)) |
|
|
730 | 744 | if data_cspc != None: |
|
|
731 | 745 | data_cspc = numpy.reshape(data_cspc, (1, -1, nFFTPoints, nHeis)) |
|
|
732 | 746 | if data_dc != None: |
|
|
733 | 747 | data_dc = numpy.reshape(data_dc, (1, -1, nHeis)) |
|
|
734 | 748 | |
|
|
735 | 749 | #If the buffer is empty then it takes the data value |
|
|
736 | 750 | if self.__buffer_spc == None: |
|
|
737 | 751 | self.__buffer_spc = data_spc |
|
|
738 | 752 | |
|
|
739 | 753 | if data_cspc == None: |
|
|
740 | 754 | self.__buffer_cspc = None |
|
|
741 | 755 | else: |
|
|
742 | 756 | self.__buffer_cspc += data_cspc |
|
|
743 | 757 | |
|
|
744 | 758 | if data_dc == None: |
|
|
745 | 759 | self.__buffer_dc = None |
|
|
746 | 760 | else: |
|
|
747 | 761 | self.__buffer_dc += data_dc |
|
|
748 | 762 | |
|
|
749 | 763 | self.__profIndex += 1 |
|
|
750 | 764 | return |
|
|
751 | 765 | |
|
|
752 | 766 | #If the buffer length is lower than n then stakcing the data value |
|
|
753 | 767 | if self.__profIndex < self.n: |
|
|
754 | 768 | self.__buffer_spc = numpy.vstack((self.__buffer_spc, data_spc)) |
|
|
755 | 769 | |
|
|
756 | 770 | if data_cspc != None: |
|
|
757 | 771 | self.__buffer_cspc = numpy.vstack((self.__buffer_cspc, data_cspc)) |
|
|
758 | 772 | |
|
|
759 | 773 | if data_dc != None: |
|
|
760 | 774 | self.__buffer_dc = numpy.vstack((self.__buffer_dc, data_dc)) |
|
|
761 | 775 | |
|
|
762 | 776 | self.__profIndex += 1 |
|
|
763 | 777 | return |
|
|
764 | 778 | |
|
|
765 | 779 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|
766 | 780 | self.__buffer_spc = numpy.roll(self.__buffer_spc, -1, axis=0) |
|
|
767 | 781 | self.__buffer_spc[self.n-1] = data_spc |
|
|
768 | 782 | |
|
|
769 | 783 | if data_cspc != None: |
|
|
770 | 784 | self.__buffer_cspc = numpy.roll(self.__buffer_cspc, -1, axis=0) |
|
|
771 | 785 | self.__buffer_cspc[self.n-1] = data_cspc |
|
|
772 | 786 | |
|
|
773 | 787 | if data_dc != None: |
|
|
774 | 788 | self.__buffer_dc = numpy.roll(self.__buffer_dc, -1, axis=0) |
|
|
775 | 789 | self.__buffer_dc[self.n-1] = data_dc |
|
|
776 | 790 | |
|
|
777 | 791 | self.__profIndex = self.n |
|
|
778 | 792 | return |
|
|
779 | 793 | |
|
|
780 | 794 | |
|
|
781 | 795 | def pushData(self): |
|
|
782 | 796 | """ |
|
|
783 | 797 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
784 | 798 | |
|
|
785 | 799 | Affected: |
|
|
786 | 800 | |
|
|
787 | 801 | self.__profileIndex |
|
|
788 | 802 | |
|
|
789 | 803 | """ |
|
|
790 | 804 | data_spc = None |
|
|
791 | 805 | data_cspc = None |
|
|
792 | 806 | data_dc = None |
|
|
793 | 807 | |
|
|
794 | 808 | if not self.__withOverapping: |
|
|
795 | 809 | data_spc = self.__buffer_spc |
|
|
796 | 810 | data_cspc = self.__buffer_cspc |
|
|
797 | 811 | data_dc = self.__buffer_dc |
|
|
798 | 812 | |
|
|
799 | 813 | n = self.__profIndex |
|
|
800 | 814 | |
|
|
801 | 815 | self.__buffer_spc = 0 |
|
|
802 | 816 | self.__buffer_cspc = 0 |
|
|
803 | 817 | self.__buffer_dc = 0 |
|
|
804 | 818 | self.__profIndex = 0 |
|
|
805 | 819 | |
|
|
806 | 820 | return data_spc, data_cspc, data_dc, n |
|
|
807 | 821 | |
|
|
808 | 822 | #Integration with Overlapping |
|
|
809 | 823 | data_spc = numpy.sum(self.__buffer_spc, axis=0) |
|
|
810 | 824 | |
|
|
811 | 825 | if self.__buffer_cspc != None: |
|
|
812 | 826 | data_cspc = numpy.sum(self.__buffer_cspc, axis=0) |
|
|
813 | 827 | |
|
|
814 | 828 | if self.__buffer_dc != None: |
|
|
815 | 829 | data_dc = numpy.sum(self.__buffer_dc, axis=0) |
|
|
816 | 830 | |
|
|
817 | 831 | n = self.__profIndex |
|
|
818 | 832 | |
|
|
819 | 833 | return data_spc, data_cspc, data_dc, n |
|
|
820 | 834 | |
|
|
821 | 835 | def byProfiles(self, *args): |
|
|
822 | 836 | |
|
|
823 | 837 | self.__dataReady = False |
|
|
824 | 838 | avgdata_spc = None |
|
|
825 | 839 | avgdata_cspc = None |
|
|
826 | 840 | avgdata_dc = None |
|
|
827 | 841 | # n = None |
|
|
828 | 842 | |
|
|
829 | 843 | self.putData(*args) |
|
|
830 | 844 | |
|
|
831 | 845 | if self.__profIndex == self.n: |
|
|
832 | 846 | |
|
|
833 | 847 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|
834 | 848 | self.__dataReady = True |
|
|
835 | 849 | |
|
|
836 | 850 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
837 | 851 | |
|
|
838 | 852 | def byTime(self, datatime, *args): |
|
|
839 | 853 | |
|
|
840 | 854 | self.__dataReady = False |
|
|
841 | 855 | avgdata_spc = None |
|
|
842 | 856 | avgdata_cspc = None |
|
|
843 | 857 | avgdata_dc = None |
|
|
844 | 858 | n = None |
|
|
845 | 859 | |
|
|
846 | 860 | self.putData(*args) |
|
|
847 | 861 | |
|
|
848 | 862 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
849 | 863 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|
850 | 864 | self.n = n |
|
|
851 | 865 | self.__dataReady = True |
|
|
852 | 866 | |
|
|
853 | 867 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
854 | 868 | |
|
|
855 | 869 | def integrate(self, datatime, *args): |
|
|
856 | 870 | |
|
|
857 | 871 | if self.__initime == None: |
|
|
858 | 872 | self.__initime = datatime |
|
|
859 | 873 | |
|
|
860 | 874 | if self.__byTime: |
|
|
861 | 875 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime(datatime, *args) |
|
|
862 | 876 | else: |
|
|
863 | 877 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byProfiles(*args) |
|
|
864 | 878 | |
|
|
865 | 879 | self.__lastdatatime = datatime |
|
|
866 | 880 | |
|
|
867 | 881 | if avgdata_spc == None: |
|
|
868 | 882 | return None, None, None, None |
|
|
869 | 883 | |
|
|
870 | 884 | avgdatatime = self.__initime |
|
|
871 | 885 | try: |
|
|
872 | 886 | self.__timeInterval = (self.__lastdatatime - self.__initime)/(self.n - 1) |
|
|
873 | 887 | except: |
|
|
874 | 888 | self.__timeInterval = self.__lastdatatime - self.__initime |
|
|
875 | 889 | |
|
|
876 | 890 | deltatime = datatime -self.__lastdatatime |
|
|
877 | 891 | |
|
|
878 | 892 | if not self.__withOverapping: |
|
|
879 | 893 | self.__initime = datatime |
|
|
880 | 894 | else: |
|
|
881 | 895 | self.__initime += deltatime |
|
|
882 | 896 | |
|
|
883 | 897 | return avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
884 | 898 | |
|
|
885 | 899 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): |
|
|
886 | 900 | |
|
|
887 | 901 | if n==1: |
|
|
888 | 902 | dataOut.flagNoData = False |
|
|
889 | 903 | return |
|
|
890 | 904 | |
|
|
891 | 905 | if not self.isConfig: |
|
|
892 | 906 | self.setup(n, timeInterval, overlapping) |
|
|
893 | 907 | self.isConfig = True |
|
|
894 | 908 | |
|
|
895 | 909 | avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc = self.integrate(dataOut.utctime, |
|
|
896 | 910 | dataOut.data_spc, |
|
|
897 | 911 | dataOut.data_cspc, |
|
|
898 | 912 | dataOut.data_dc) |
|
|
899 | 913 | |
|
|
900 | 914 | # dataOut.timeInterval *= n |
|
|
901 | 915 | dataOut.flagNoData = True |
|
|
902 | 916 | |
|
|
903 | 917 | if self.__dataReady: |
|
|
904 | 918 | |
|
|
905 | 919 | dataOut.data_spc = avgdata_spc |
|
|
906 | 920 | dataOut.data_cspc = avgdata_cspc |
|
|
907 | 921 | dataOut.data_dc = avgdata_dc |
|
|
908 | 922 | |
|
|
909 | 923 | dataOut.nIncohInt *= self.n |
|
|
910 | 924 | dataOut.utctime = avgdatatime |
|
|
911 | 925 | #dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt * dataOut.nIncohInt * dataOut.nFFTPoints |
|
|
912 | 926 | dataOut.timeInterval = self.__timeInterval*self.n |
|
|
913 | 927 | dataOut.flagNoData = False |
|
|
914 | ||
|
|
915 | class ProfileConcat(Operation): | |
|
|
916 | ||
|
|
917 | isConfig = False | |
|
|
918 | buffer = None | |
|
|
919 | ||
|
|
920 | def __init__(self): | |
|
|
921 | ||
|
|
922 | Operation.__init__(self) | |
|
|
923 | self.profileIndex = 0 | |
|
|
924 | ||
|
|
925 | def reset(self): | |
|
|
926 | self.buffer = numpy.zeros_like(self.buffer) | |
|
|
927 | self.start_index = 0 | |
|
|
928 | self.times = 1 | |
|
|
929 | ||
|
|
930 | def setup(self, data, m, n=1): | |
|
|
931 | self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0])) | |
|
|
932 | self.profiles = data.shape[1] | |
|
|
933 | self.start_index = 0 | |
|
|
934 | self.times = 1 | |
|
|
935 | ||
|
|
936 | def concat(self, data): | |
|
|
937 | ||
|
|
938 | self.buffer[:,self.start_index:self.profiles*self.times] = data.copy() | |
|
|
939 | self.start_index = self.start_index + self.profiles | |
|
|
940 | ||
|
|
941 | def run(self, dataOut, m): | |
|
|
942 | ||
|
|
943 | dataOut.flagNoData = True | |
|
|
944 | ||
|
|
945 | if not self.isConfig: | |
|
|
946 | self.setup(dataOut.data, m, 1) | |
|
|
947 | self.isConfig = True | |
|
|
948 | ||
|
|
949 | self.concat(dataOut.data) | |
|
|
950 | self.times += 1 | |
|
|
951 | if self.times > m: | |
|
|
952 | dataOut.data = self.buffer | |
|
|
953 | self.reset() | |
|
|
954 | dataOut.flagNoData = False | |
|
|
955 | # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas | |
|
|
956 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] | |
|
|
957 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * 5 | |
|
|
958 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) | |
|
|
959 | ||
|
|
960 | class ProfileSelector(Operation): | |
|
|
961 | ||
|
|
962 | profileIndex = None | |
|
|
963 | # Tamanho total de los perfiles | |
|
|
964 | nProfiles = None | |
|
|
965 | ||
|
|
966 | def __init__(self): | |
|
|
967 | ||
|
|
968 | Operation.__init__(self) | |
|
|
969 | self.profileIndex = 0 | |
|
|
970 | ||
|
|
971 | def incIndex(self): | |
|
|
972 | self.profileIndex += 1 | |
|
|
973 | ||
|
|
974 | if self.profileIndex >= self.nProfiles: | |
|
|
975 | self.profileIndex = 0 | |
|
|
976 | ||
|
|
977 | def isProfileInRange(self, minIndex, maxIndex): | |
|
|
978 | ||
|
|
979 | if self.profileIndex < minIndex: | |
|
|
980 | return False | |
|
|
981 | ||
|
|
982 | if self.profileIndex > maxIndex: | |
|
|
983 | return False | |
|
|
984 | ||
|
|
985 | return True | |
|
|
986 | ||
|
|
987 | def isProfileInList(self, profileList): | |
|
|
988 | ||
|
|
989 | if self.profileIndex not in profileList: | |
|
|
990 | return False | |
|
|
991 | ||
|
|
992 | return True | |
|
|
993 | ||
|
|
994 | def run(self, dataOut, profileList=None, profileRangeList=None, beam=None): | |
|
|
995 | ||
|
|
996 | dataOut.flagNoData = True | |
|
|
997 | self.nProfiles = dataOut.nProfiles | |
|
|
998 | ||
|
|
999 | if profileList != None: | |
|
|
1000 | if self.isProfileInList(profileList): | |
|
|
1001 | dataOut.flagNoData = False | |
|
|
1002 | ||
|
|
1003 | self.incIndex() | |
|
|
1004 | return 1 | |
|
|
1005 | ||
|
|
1006 | ||
|
|
1007 | elif profileRangeList != None: | |
|
|
1008 | minIndex = profileRangeList[0] | |
|
|
1009 | maxIndex = profileRangeList[1] | |
|
|
1010 | if self.isProfileInRange(minIndex, maxIndex): | |
|
|
1011 | dataOut.flagNoData = False | |
|
|
1012 | ||
|
|
1013 | self.incIndex() | |
|
|
1014 | return 1 | |
|
|
1015 | elif beam != None: | |
|
|
1016 | if self.isProfileInList(dataOut.beamRangeDict[beam]): | |
|
|
1017 | dataOut.flagNoData = False | |
|
|
1018 | ||
|
|
1019 | self.incIndex() | |
|
|
1020 | return 1 | |
|
|
1021 | ||
|
|
1022 | else: | |
|
|
1023 | raise ValueError, "ProfileSelector needs profileList or profileRangeList" | |
|
|
1024 | ||
|
|
1025 | return 0 | |
| @@ -1,524 +1,751 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | |
|
|
3 | 3 | from jroproc_base import ProcessingUnit, Operation |
|
|
4 | 4 | from model.data.jrodata import Voltage |
|
|
5 | 5 | |
|
|
6 | 6 | class VoltageProc(ProcessingUnit): |
|
|
7 | 7 | |
|
|
8 | 8 | |
|
|
9 | 9 | def __init__(self): |
|
|
10 | 10 | |
|
|
11 | 11 | ProcessingUnit.__init__(self) |
|
|
12 | 12 | |
|
|
13 | 13 | # self.objectDict = {} |
|
|
14 | 14 | self.dataOut = Voltage() |
|
|
15 | 15 | self.flip = 1 |
|
|
16 | 16 | |
|
|
17 | 17 | def run(self): |
|
|
18 | 18 | if self.dataIn.type == 'AMISR': |
|
|
19 | 19 | self.__updateObjFromAmisrInput() |
|
|
20 | 20 | |
|
|
21 | 21 | if self.dataIn.type == 'Voltage': |
|
|
22 | 22 | self.dataOut.copy(self.dataIn) |
|
|
23 | 23 | |
|
|
24 | 24 | # self.dataOut.copy(self.dataIn) |
|
|
25 | 25 | |
|
|
26 | 26 | def __updateObjFromAmisrInput(self): |
|
|
27 | 27 | |
|
|
28 | 28 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|
29 | 29 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|
30 | 30 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|
31 | 31 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|
32 | 32 | |
|
|
33 | 33 | self.dataOut.flagNoData = self.dataIn.flagNoData |
|
|
34 | 34 | self.dataOut.data = self.dataIn.data |
|
|
35 | 35 | self.dataOut.utctime = self.dataIn.utctime |
|
|
36 | 36 | self.dataOut.channelList = self.dataIn.channelList |
|
|
37 | 37 | self.dataOut.timeInterval = self.dataIn.timeInterval |
|
|
38 | 38 | self.dataOut.heightList = self.dataIn.heightList |
|
|
39 | 39 | self.dataOut.nProfiles = self.dataIn.nProfiles |
|
|
40 | 40 | |
|
|
41 | 41 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|
42 | 42 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
|
43 | 43 | self.dataOut.frequency = self.dataIn.frequency |
|
|
44 | 44 | # |
|
|
45 | 45 | # pass# |
|
|
46 | 46 | # |
|
|
47 | 47 | # def init(self): |
|
|
48 | 48 | # |
|
|
49 | 49 | # |
|
|
50 | 50 | # if self.dataIn.type == 'AMISR': |
|
|
51 | 51 | # self.__updateObjFromAmisrInput() |
|
|
52 | 52 | # |
|
|
53 | 53 | # if self.dataIn.type == 'Voltage': |
|
|
54 | 54 | # self.dataOut.copy(self.dataIn) |
|
|
55 | 55 | # # No necesita copiar en cada init() los atributos de dataIn |
|
|
56 | 56 | # # la copia deberia hacerse por cada nuevo bloque de datos |
|
|
57 | 57 | |
|
|
58 | 58 | def selectChannels(self, channelList): |
|
|
59 | 59 | |
|
|
60 | 60 | channelIndexList = [] |
|
|
61 | 61 | |
|
|
62 | 62 | for channel in channelList: |
|
|
63 | 63 | index = self.dataOut.channelList.index(channel) |
|
|
64 | 64 | channelIndexList.append(index) |
|
|
65 | 65 | |
|
|
66 | 66 | self.selectChannelsByIndex(channelIndexList) |
|
|
67 | 67 | |
|
|
68 | 68 | def selectChannelsByIndex(self, channelIndexList): |
|
|
69 | 69 | """ |
|
|
70 | 70 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
71 | 71 | |
|
|
72 | 72 | Input: |
|
|
73 | 73 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
74 | 74 | |
|
|
75 | 75 | Affected: |
|
|
76 | 76 | self.dataOut.data |
|
|
77 | 77 | self.dataOut.channelIndexList |
|
|
78 | 78 | self.dataOut.nChannels |
|
|
79 | 79 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
|
80 | 80 | self.dataOut.systemHeaderObj.numChannels |
|
|
81 | 81 | self.dataOut.m_ProcessingHeader.blockSize |
|
|
82 | 82 | |
|
|
83 | 83 | Return: |
|
|
84 | 84 | None |
|
|
85 | 85 | """ |
|
|
86 | 86 | |
|
|
87 | 87 | for channelIndex in channelIndexList: |
|
|
88 | 88 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
89 | 89 | print channelIndexList |
|
|
90 | 90 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
|
91 | 91 | |
|
|
92 | 92 | # nChannels = len(channelIndexList) |
|
|
93 | 93 | |
|
|
94 | 94 | data = self.dataOut.data[channelIndexList,:] |
|
|
95 | 95 | |
|
|
96 | 96 | self.dataOut.data = data |
|
|
97 | 97 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
98 | 98 | # self.dataOut.nChannels = nChannels |
|
|
99 | 99 | |
|
|
100 | 100 | return 1 |
|
|
101 | 101 | |
|
|
102 | 102 | def selectHeights(self, minHei=None, maxHei=None): |
|
|
103 | 103 | """ |
|
|
104 | 104 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|
105 | 105 | minHei <= height <= maxHei |
|
|
106 | 106 | |
|
|
107 | 107 | Input: |
|
|
108 | 108 | minHei : valor minimo de altura a considerar |
|
|
109 | 109 | maxHei : valor maximo de altura a considerar |
|
|
110 | 110 | |
|
|
111 | 111 | Affected: |
|
|
112 | 112 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|
113 | 113 | |
|
|
114 | 114 | Return: |
|
|
115 | 115 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
116 | 116 | """ |
|
|
117 | 117 | |
|
|
118 | 118 | if minHei == None: |
|
|
119 | 119 | minHei = self.dataOut.heightList[0] |
|
|
120 | 120 | |
|
|
121 | 121 | if maxHei == None: |
|
|
122 | 122 | maxHei = self.dataOut.heightList[-1] |
|
|
123 | 123 | |
|
|
124 | 124 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|
125 | 125 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|
126 | 126 | |
|
|
127 | 127 | |
|
|
128 | 128 | if (maxHei > self.dataOut.heightList[-1]): |
|
|
129 | 129 | maxHei = self.dataOut.heightList[-1] |
|
|
130 | 130 | # raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|
131 | 131 | |
|
|
132 | 132 | minIndex = 0 |
|
|
133 | 133 | maxIndex = 0 |
|
|
134 | 134 | heights = self.dataOut.heightList |
|
|
135 | 135 | |
|
|
136 | 136 | inda = numpy.where(heights >= minHei) |
|
|
137 | 137 | indb = numpy.where(heights <= maxHei) |
|
|
138 | 138 | |
|
|
139 | 139 | try: |
|
|
140 | 140 | minIndex = inda[0][0] |
|
|
141 | 141 | except: |
|
|
142 | 142 | minIndex = 0 |
|
|
143 | 143 | |
|
|
144 | 144 | try: |
|
|
145 | 145 | maxIndex = indb[0][-1] |
|
|
146 | 146 | except: |
|
|
147 | 147 | maxIndex = len(heights) |
|
|
148 | 148 | |
|
|
149 | 149 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
|
150 | 150 | |
|
|
151 | 151 | return 1 |
|
|
152 | 152 | |
|
|
153 | 153 | |
|
|
154 | 154 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|
155 | 155 | """ |
|
|
156 | 156 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|
157 | 157 | minIndex <= index <= maxIndex |
|
|
158 | 158 | |
|
|
159 | 159 | Input: |
|
|
160 | 160 | minIndex : valor de indice minimo de altura a considerar |
|
|
161 | 161 | maxIndex : valor de indice maximo de altura a considerar |
|
|
162 | 162 | |
|
|
163 | 163 | Affected: |
|
|
164 | 164 | self.dataOut.data |
|
|
165 | 165 | self.dataOut.heightList |
|
|
166 | 166 | |
|
|
167 | 167 | Return: |
|
|
168 | 168 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
169 | 169 | """ |
|
|
170 | 170 | |
|
|
171 | 171 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
172 | 172 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
173 | 173 | |
|
|
174 | 174 | if (maxIndex >= self.dataOut.nHeights): |
|
|
175 | 175 | maxIndex = self.dataOut.nHeights-1 |
|
|
176 | 176 | # raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
177 | 177 | |
|
|
178 | 178 | # nHeights = maxIndex - minIndex + 1 |
|
|
179 | 179 | |
|
|
180 | 180 | #voltage |
|
|
181 | 181 | data = self.dataOut.data[:,minIndex:maxIndex+1] |
|
|
182 | 182 | |
|
|
183 | 183 | # firstHeight = self.dataOut.heightList[minIndex] |
|
|
184 | 184 | |
|
|
185 | 185 | self.dataOut.data = data |
|
|
186 | 186 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|
187 | 187 | |
|
|
188 | 188 | return 1 |
|
|
189 | 189 | |
|
|
190 | 190 | |
|
|
191 | def filterByHeights(self, window): | |
|
|
191 | def filterByHeights(self, window, axis=1): | |
|
|
192 | 192 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
193 | 193 | |
|
|
194 | 194 | if window == None: |
|
|
195 | 195 | window = (self.dataOut.radarControllerHeaderObj.txA/self.dataOut.radarControllerHeaderObj.nBaud) / deltaHeight |
|
|
196 | 196 | |
|
|
197 | 197 | newdelta = deltaHeight * window |
|
|
198 |
r = self.dataOut.data.shape[ |
|
|
|
199 | buffer = self.dataOut.data[:,0:self.dataOut.data.shape[1]-r] | |
|
|
200 | buffer = buffer.reshape(self.dataOut.data.shape[0],self.dataOut.data.shape[1]/window,window) | |
|
|
201 | buffer = numpy.sum(buffer,2) | |
|
|
202 | self.dataOut.data = buffer | |
|
|
198 | r = self.dataOut.data.shape[axis] % window | |
|
|
199 | if axis == 1: | |
|
|
200 | buffer = self.dataOut.data[:,0:self.dataOut.data.shape[axis]-r] | |
|
|
201 | buffer = buffer.reshape(self.dataOut.data.shape[0],self.dataOut.data.shape[axis]/window,window) | |
|
|
202 | buffer = numpy.sum(buffer,axis+1) | |
|
|
203 | ||
|
|
204 | elif axis == 2: | |
|
|
205 | buffer = self.dataOut.data[:, :, 0:self.dataOut.data.shape[axis]-r] | |
|
|
206 | buffer = buffer.reshape(self.dataOut.data.shape[0],self.dataOut.data.shape[1],self.dataOut.data.shape[axis]/window,window) | |
|
|
207 | buffer = numpy.sum(buffer,axis+1) | |
|
|
208 | ||
|
|
209 | else: | |
|
|
210 | raise ValueError, "axis value should be 1 or 2, the input value %d is not valid" % (axis) | |
|
|
211 | ||
|
|
212 | self.dataOut.data = buffer.copy() | |
|
|
203 | 213 | self.dataOut.heightList = numpy.arange(self.dataOut.heightList[0],newdelta*(self.dataOut.nHeights-r)/window,newdelta) |
|
|
204 | 214 | self.dataOut.windowOfFilter = window |
|
|
205 | ||
|
|
215 | ||
|
|
216 | return 1 | |
|
|
217 | ||
|
|
206 | 218 | def deFlip(self): |
|
|
207 | 219 | self.dataOut.data *= self.flip |
|
|
208 | 220 | self.flip *= -1. |
|
|
209 | 221 | |
|
|
210 | 222 | def setRadarFrequency(self, frequency=None): |
|
|
211 | 223 | if frequency != None: |
|
|
212 | 224 | self.dataOut.frequency = frequency |
|
|
213 | 225 | |
|
|
214 | 226 | return 1 |
|
|
215 | 227 | |
|
|
216 | 228 | class CohInt(Operation): |
|
|
217 | 229 | |
|
|
218 | 230 | isConfig = False |
|
|
219 | 231 | |
|
|
220 | 232 | __profIndex = 0 |
|
|
221 | 233 | __withOverapping = False |
|
|
222 | 234 | |
|
|
223 | 235 | __byTime = False |
|
|
224 | 236 | __initime = None |
|
|
225 | 237 | __lastdatatime = None |
|
|
226 | 238 | __integrationtime = None |
|
|
227 | 239 | |
|
|
228 | 240 | __buffer = None |
|
|
229 | 241 | |
|
|
230 | 242 | __dataReady = False |
|
|
231 | 243 | |
|
|
232 | 244 | n = None |
|
|
233 | 245 | |
|
|
234 | 246 | |
|
|
235 | 247 | def __init__(self): |
|
|
236 | 248 | |
|
|
237 | 249 | Operation.__init__(self) |
|
|
238 | 250 | |
|
|
239 | 251 | # self.isConfig = False |
|
|
240 | 252 | |
|
|
241 | def setup(self, n=None, timeInterval=None, overlapping=False): | |
|
|
253 | def setup(self, n=None, timeInterval=None, overlapping=False, byblock=False): | |
|
|
242 | 254 | """ |
|
|
243 | 255 | Set the parameters of the integration class. |
|
|
244 | 256 | |
|
|
245 | 257 | Inputs: |
|
|
246 | 258 | |
|
|
247 | 259 | n : Number of coherent integrations |
|
|
248 | 260 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
249 | 261 | overlapping : |
|
|
250 | 262 | |
|
|
251 | 263 | """ |
|
|
252 | 264 | |
|
|
253 | 265 | self.__initime = None |
|
|
254 | 266 | self.__lastdatatime = 0 |
|
|
255 | 267 | self.__buffer = None |
|
|
256 | 268 | self.__dataReady = False |
|
|
257 | ||
|
|
269 | self.byblock = byblock | |
|
|
258 | 270 | |
|
|
259 | 271 | if n == None and timeInterval == None: |
|
|
260 | 272 | raise ValueError, "n or timeInterval should be specified ..." |
|
|
261 | 273 | |
|
|
262 | 274 | if n != None: |
|
|
263 | 275 | self.n = n |
|
|
264 | 276 | self.__byTime = False |
|
|
265 | 277 | else: |
|
|
266 | 278 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line |
|
|
267 | 279 | self.n = 9999 |
|
|
268 | 280 | self.__byTime = True |
|
|
269 | 281 | |
|
|
270 | 282 | if overlapping: |
|
|
271 | 283 | self.__withOverapping = True |
|
|
272 | 284 | self.__buffer = None |
|
|
273 | 285 | else: |
|
|
274 | 286 | self.__withOverapping = False |
|
|
275 | 287 | self.__buffer = 0 |
|
|
276 | 288 | |
|
|
277 | 289 | self.__profIndex = 0 |
|
|
278 | 290 | |
|
|
279 | 291 | def putData(self, data): |
|
|
280 | 292 | |
|
|
281 | 293 | """ |
|
|
282 | 294 | Add a profile to the __buffer and increase in one the __profileIndex |
|
|
283 | 295 | |
|
|
284 | 296 | """ |
|
|
285 | 297 | |
|
|
286 | 298 | if not self.__withOverapping: |
|
|
287 | 299 | self.__buffer += data.copy() |
|
|
288 | 300 | self.__profIndex += 1 |
|
|
289 | 301 | return |
|
|
290 | 302 | |
|
|
291 | 303 | #Overlapping data |
|
|
292 | 304 | nChannels, nHeis = data.shape |
|
|
293 | 305 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
|
294 | 306 | |
|
|
295 | 307 | #If the buffer is empty then it takes the data value |
|
|
296 | 308 | if self.__buffer == None: |
|
|
297 | 309 | self.__buffer = data |
|
|
298 | 310 | self.__profIndex += 1 |
|
|
299 | 311 | return |
|
|
300 | 312 | |
|
|
301 | 313 | #If the buffer length is lower than n then stakcing the data value |
|
|
302 | 314 | if self.__profIndex < self.n: |
|
|
303 | 315 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
|
304 | 316 | self.__profIndex += 1 |
|
|
305 | 317 | return |
|
|
306 | 318 | |
|
|
307 | 319 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|
308 | 320 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
|
309 | 321 | self.__buffer[self.n-1] = data |
|
|
310 | 322 | self.__profIndex = self.n |
|
|
311 | 323 | return |
|
|
312 | 324 | |
|
|
313 | 325 | |
|
|
314 | 326 | def pushData(self): |
|
|
315 | 327 | """ |
|
|
316 | 328 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
317 | 329 | |
|
|
318 | 330 | Affected: |
|
|
319 | 331 | |
|
|
320 | 332 | self.__profileIndex |
|
|
321 | 333 | |
|
|
322 | 334 | """ |
|
|
323 | 335 | |
|
|
324 | 336 | if not self.__withOverapping: |
|
|
325 | 337 | data = self.__buffer |
|
|
326 | 338 | n = self.__profIndex |
|
|
327 | 339 | |
|
|
328 | 340 | self.__buffer = 0 |
|
|
329 | 341 | self.__profIndex = 0 |
|
|
330 | 342 | |
|
|
331 | 343 | return data, n |
|
|
332 | 344 | |
|
|
333 | 345 | #Integration with Overlapping |
|
|
334 | 346 | data = numpy.sum(self.__buffer, axis=0) |
|
|
335 | 347 | n = self.__profIndex |
|
|
336 | 348 | |
|
|
337 | 349 | return data, n |
|
|
338 | 350 | |
|
|
339 | 351 | def byProfiles(self, data): |
|
|
340 | 352 | |
|
|
341 | 353 | self.__dataReady = False |
|
|
342 | 354 | avgdata = None |
|
|
343 | 355 | # n = None |
|
|
344 | 356 | |
|
|
345 | 357 | self.putData(data) |
|
|
346 | 358 | |
|
|
347 | 359 | if self.__profIndex == self.n: |
|
|
348 | 360 | |
|
|
349 | 361 | avgdata, n = self.pushData() |
|
|
350 | 362 | self.__dataReady = True |
|
|
351 | 363 | |
|
|
352 | 364 | return avgdata |
|
|
353 | 365 | |
|
|
354 | 366 | def byTime(self, data, datatime): |
|
|
355 | 367 | |
|
|
356 | 368 | self.__dataReady = False |
|
|
357 | 369 | avgdata = None |
|
|
358 | 370 | n = None |
|
|
359 | 371 | |
|
|
360 | 372 | self.putData(data) |
|
|
361 | 373 | |
|
|
362 | 374 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
363 | 375 | avgdata, n = self.pushData() |
|
|
364 | 376 | self.n = n |
|
|
365 | 377 | self.__dataReady = True |
|
|
366 | 378 | |
|
|
367 | 379 | return avgdata |
|
|
368 | 380 | |
|
|
369 | 381 | def integrate(self, data, datatime=None): |
|
|
370 | 382 | |
|
|
371 | 383 | if self.__initime == None: |
|
|
372 | 384 | self.__initime = datatime |
|
|
373 | 385 | |
|
|
374 | 386 | if self.__byTime: |
|
|
375 | 387 | avgdata = self.byTime(data, datatime) |
|
|
376 | 388 | else: |
|
|
377 | 389 | avgdata = self.byProfiles(data) |
|
|
378 | 390 | |
|
|
379 | 391 | |
|
|
380 | 392 | self.__lastdatatime = datatime |
|
|
381 | 393 | |
|
|
382 | 394 | if avgdata == None: |
|
|
383 | 395 | return None, None |
|
|
384 | 396 | |
|
|
385 | 397 | avgdatatime = self.__initime |
|
|
386 | 398 | |
|
|
387 | 399 | deltatime = datatime -self.__lastdatatime |
|
|
388 | 400 | |
|
|
389 | 401 | if not self.__withOverapping: |
|
|
390 | 402 | self.__initime = datatime |
|
|
391 | 403 | else: |
|
|
392 | 404 | self.__initime += deltatime |
|
|
393 | 405 | |
|
|
394 | 406 | return avgdata, avgdatatime |
|
|
395 |
|
|
|
|
407 | ||
|
|
408 | def integrateByBlock(self, dataOut): | |
|
|
409 | times = int(dataOut.data.shape[1]/self.n) | |
|
|
410 | avgdata = numpy.zeros((dataOut.nChannels, times, dataOut.nHeights), dtype=numpy.complex) | |
|
|
411 | ||
|
|
412 | id_min = 0 | |
|
|
413 | id_max = self.n | |
|
|
414 | ||
|
|
415 | for i in range(times): | |
|
|
416 | junk = dataOut.data[:,id_min:id_max,:] | |
|
|
417 | avgdata[:,i,:] = junk.sum(axis=1) | |
|
|
418 | id_min += self.n | |
|
|
419 | id_max += self.n | |
|
|
420 | ||
|
|
421 | timeInterval = dataOut.ippSeconds*self.n | |
|
|
422 | avgdatatime = (times - 1) * timeInterval + dataOut.utctime | |
|
|
423 | self.__dataReady = True | |
|
|
424 | return avgdata, avgdatatime | |
|
|
425 | ||
|
|
396 | 426 | def run(self, dataOut, **kwargs): |
|
|
397 | 427 | |
|
|
398 | 428 | if not self.isConfig: |
|
|
399 | 429 | self.setup(**kwargs) |
|
|
400 | 430 | self.isConfig = True |
|
|
401 | ||
|
|
402 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) | |
|
|
431 | ||
|
|
432 | if self.byblock: | |
|
|
433 | avgdata, avgdatatime = self.integrateByBlock(dataOut) | |
|
|
434 | else: | |
|
|
435 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) | |
|
|
403 | 436 | |
|
|
404 | 437 | # dataOut.timeInterval *= n |
|
|
405 | 438 | dataOut.flagNoData = True |
|
|
406 | 439 | |
|
|
407 | 440 | if self.__dataReady: |
|
|
408 | 441 | dataOut.data = avgdata |
|
|
409 | 442 | dataOut.nCohInt *= self.n |
|
|
410 | 443 | dataOut.utctime = avgdatatime |
|
|
411 | 444 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt |
|
|
412 | 445 | dataOut.flagNoData = False |
|
|
413 | 446 | |
|
|
414 | 447 | class Decoder(Operation): |
|
|
415 | 448 | |
|
|
416 | 449 | isConfig = False |
|
|
417 | 450 | __profIndex = 0 |
|
|
418 | 451 | |
|
|
419 | 452 | code = None |
|
|
420 | 453 | |
|
|
421 | 454 | nCode = None |
|
|
422 | 455 | nBaud = None |
|
|
423 | 456 | |
|
|
457 | ||
|
|
424 | 458 | def __init__(self): |
|
|
425 | 459 | |
|
|
426 | 460 | Operation.__init__(self) |
|
|
461 | ||
|
|
462 | self.times = None | |
|
|
463 | self.osamp = None | |
|
|
464 | self.__setValues = False | |
|
|
427 | 465 | # self.isConfig = False |
|
|
428 | 466 | |
|
|
429 | def setup(self, code, shape): | |
|
|
467 | def setup(self, code, shape, times, osamp): | |
|
|
430 | 468 | |
|
|
431 | 469 | self.__profIndex = 0 |
|
|
432 | 470 | |
|
|
433 | 471 | self.code = code |
|
|
434 | 472 | |
|
|
435 | 473 | self.nCode = len(code) |
|
|
436 | 474 | self.nBaud = len(code[0]) |
|
|
437 | 475 | |
|
|
438 | self.__nChannels, self.__nHeis = shape | |
|
|
476 | if times != None: | |
|
|
477 | self.times = times | |
|
|
439 | 478 | |
|
|
440 | __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex) | |
|
|
479 | if ((osamp != None) and (osamp >1)): | |
|
|
480 | self.osamp = osamp | |
|
|
481 | self.code = numpy.repeat(code, repeats=self.osamp,axis=1) | |
|
|
482 | self.nBaud = self.nBaud*self.osamp | |
|
|
441 | 483 | |
|
|
442 | __codeBuffer[:,0:self.nBaud] = self.code | |
|
|
443 | ||
|
|
444 | self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1)) | |
|
|
445 | ||
|
|
446 | self.ndatadec = self.__nHeis - self.nBaud + 1 | |
|
|
484 | if len(shape) == 2: | |
|
|
485 | self.__nChannels, self.__nHeis = shape | |
|
|
486 | ||
|
|
487 | __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex) | |
|
|
488 | ||
|
|
489 | __codeBuffer[:,0:self.nBaud] = self.code | |
|
|
490 | ||
|
|
491 | self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1)) | |
|
|
492 | ||
|
|
493 | self.ndatadec = self.__nHeis - self.nBaud + 1 | |
|
|
494 | ||
|
|
495 | self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex) | |
|
|
496 | else: | |
|
|
497 | self.__nChannels, self.__nProfiles, self.__nHeis = shape | |
|
|
498 | ||
|
|
499 | self.ndatadec = self.__nHeis - self.nBaud + 1 | |
|
|
500 | ||
|
|
501 | self.datadecTime = numpy.zeros((self.__nChannels, self.__nProfiles, self.ndatadec), dtype=numpy.complex) | |
|
|
447 | 502 | |
|
|
448 | self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex) | |
|
|
503 | ||
|
|
449 | 504 | |
|
|
450 | 505 | def convolutionInFreq(self, data): |
|
|
451 | 506 | |
|
|
452 | 507 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|
453 | 508 | |
|
|
454 | 509 | fft_data = numpy.fft.fft(data, axis=1) |
|
|
455 | 510 | |
|
|
456 | 511 | conv = fft_data*fft_code |
|
|
457 | 512 | |
|
|
458 | 513 | data = numpy.fft.ifft(conv,axis=1) |
|
|
459 | 514 | |
|
|
460 | 515 | datadec = data[:,:-self.nBaud+1] |
|
|
461 | 516 | |
|
|
462 | 517 | return datadec |
|
|
463 | 518 | |
|
|
464 | 519 | def convolutionInFreqOpt(self, data): |
|
|
465 | 520 | |
|
|
466 | 521 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|
467 | 522 | |
|
|
468 | 523 | data = cfunctions.decoder(fft_code, data) |
|
|
469 | 524 | |
|
|
470 | 525 | datadec = data[:,:-self.nBaud+1] |
|
|
471 | 526 | |
|
|
472 | 527 | return datadec |
|
|
473 | 528 | |
|
|
474 | 529 | def convolutionInTime(self, data): |
|
|
475 | 530 | |
|
|
476 | 531 | code = self.code[self.__profIndex] |
|
|
477 | 532 | |
|
|
478 | 533 | for i in range(self.__nChannels): |
|
|
479 | 534 | self.datadecTime[i,:] = numpy.correlate(data[i,:], code, mode='valid') |
|
|
480 | 535 | |
|
|
481 | 536 | return self.datadecTime |
|
|
482 | 537 | |
|
|
483 | def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0): | |
|
|
538 | def convolutionByBlockInTime(self, data): | |
|
|
539 | junk = numpy.lib.stride_tricks.as_strided(self.code, (self.times, self.code.size), (0, self.code.itemsize)) | |
|
|
540 | junk = junk.flatten() | |
|
|
541 | code_block = numpy.reshape(junk, (self.nCode*self.times,self.nBaud)) | |
|
|
542 | ||
|
|
543 | for i in range(self.__nChannels): | |
|
|
544 | for j in range(self.__nProfiles): | |
|
|
545 | self.datadecTime[i,j,:] = numpy.correlate(data[i,j,:], code_block[j,:], mode='valid') | |
|
|
546 | ||
|
|
547 | return self.datadecTime | |
|
|
548 | ||
|
|
549 | def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0, times=None, osamp=None): | |
|
|
484 | 550 | |
|
|
485 | 551 | if code == None: |
|
|
486 | 552 | code = dataOut.code |
|
|
487 | 553 | else: |
|
|
488 | 554 | code = numpy.array(code).reshape(nCode,nBaud) |
|
|
555 | ||
|
|
556 | ||
|
|
557 | ||
|
|
558 | if not self.isConfig: | |
|
|
559 | ||
|
|
560 | self.setup(code, dataOut.data.shape, times, osamp) | |
|
|
561 | ||
|
|
489 | 562 | dataOut.code = code |
|
|
490 | 563 | dataOut.nCode = nCode |
|
|
491 | 564 | dataOut.nBaud = nBaud |
|
|
492 | 565 | dataOut.radarControllerHeaderObj.code = code |
|
|
493 | 566 | dataOut.radarControllerHeaderObj.nCode = nCode |
|
|
494 | 567 | dataOut.radarControllerHeaderObj.nBaud = nBaud |
|
|
495 | 568 | |
|
|
496 | ||
|
|
497 | if not self.isConfig: | |
|
|
498 | ||
|
|
499 | self.setup(code, dataOut.data.shape) | |
|
|
500 | 569 | self.isConfig = True |
|
|
501 | 570 | |
|
|
502 | 571 | if mode == 0: |
|
|
503 | 572 | datadec = self.convolutionInTime(dataOut.data) |
|
|
504 | 573 | |
|
|
505 | 574 | if mode == 1: |
|
|
506 | 575 | datadec = self.convolutionInFreq(dataOut.data) |
|
|
507 | 576 | |
|
|
508 | 577 | if mode == 2: |
|
|
509 | 578 | datadec = self.convolutionInFreqOpt(dataOut.data) |
|
|
579 | ||
|
|
580 | if mode == 3: | |
|
|
581 | datadec = self.convolutionByBlockInTime(dataOut.data) | |
|
|
582 | ||
|
|
583 | if not(self.__setValues): | |
|
|
584 | dataOut.code = self.code | |
|
|
585 | dataOut.nCode = self.nCode | |
|
|
586 | dataOut.nBaud = self.nBaud | |
|
|
587 | dataOut.radarControllerHeaderObj.code = self.code | |
|
|
588 | dataOut.radarControllerHeaderObj.nCode = self.nCode | |
|
|
589 | dataOut.radarControllerHeaderObj.nBaud = self.nBaud | |
|
|
590 | self.__setValues = True | |
|
|
510 | 591 | |
|
|
511 | 592 | dataOut.data = datadec |
|
|
512 | 593 | |
|
|
513 | 594 | dataOut.heightList = dataOut.heightList[0:self.ndatadec] |
|
|
514 | 595 | |
|
|
515 | 596 | dataOut.flagDecodeData = True #asumo q la data no esta decodificada |
|
|
516 | 597 | |
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517 | 598 | if self.__profIndex == self.nCode-1: |
|
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518 | 599 | self.__profIndex = 0 |
|
|
519 | 600 | return 1 |
|
|
520 | 601 | |
|
|
521 | 602 | self.__profIndex += 1 |
|
|
522 | 603 | |
|
|
523 | 604 | return 1 |
|
|
524 | 605 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip |
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|
606 | ||
|
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607 | ||
|
|
608 | class ProfileConcat(Operation): | |
|
|
609 | ||
|
|
610 | isConfig = False | |
|
|
611 | buffer = None | |
|
|
612 | ||
|
|
613 | def __init__(self): | |
|
|
614 | ||
|
|
615 | Operation.__init__(self) | |
|
|
616 | self.profileIndex = 0 | |
|
|
617 | ||
|
|
618 | def reset(self): | |
|
|
619 | self.buffer = numpy.zeros_like(self.buffer) | |
|
|
620 | self.start_index = 0 | |
|
|
621 | self.times = 1 | |
|
|
622 | ||
|
|
623 | def setup(self, data, m, n=1): | |
|
|
624 | self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0])) | |
|
|
625 | self.profiles = data.shape[1] | |
|
|
626 | self.start_index = 0 | |
|
|
627 | self.times = 1 | |
|
|
628 | ||
|
|
629 | def concat(self, data): | |
|
|
630 | ||
|
|
631 | self.buffer[:,self.start_index:self.profiles*self.times] = data.copy() | |
|
|
632 | self.start_index = self.start_index + self.profiles | |
|
|
633 | ||
|
|
634 | def run(self, dataOut, m): | |
|
|
635 | ||
|
|
636 | dataOut.flagNoData = True | |
|
|
637 | ||
|
|
638 | if not self.isConfig: | |
|
|
639 | self.setup(dataOut.data, m, 1) | |
|
|
640 | self.isConfig = True | |
|
|
641 | ||
|
|
642 | self.concat(dataOut.data) | |
|
|
643 | self.times += 1 | |
|
|
644 | if self.times > m: | |
|
|
645 | dataOut.data = self.buffer | |
|
|
646 | self.reset() | |
|
|
647 | dataOut.flagNoData = False | |
|
|
648 | # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas | |
|
|
649 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] | |
|
|
650 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * 5 | |
|
|
651 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) | |
|
|
652 | ||
|
|
653 | class ProfileSelector(Operation): | |
|
|
654 | ||
|
|
655 | profileIndex = None | |
|
|
656 | # Tamanho total de los perfiles | |
|
|
657 | nProfiles = None | |
|
|
658 | ||
|
|
659 | def __init__(self): | |
|
|
660 | ||
|
|
661 | Operation.__init__(self) | |
|
|
662 | self.profileIndex = 0 | |
|
|
663 | ||
|
|
664 | def incIndex(self): | |
|
|
665 | self.profileIndex += 1 | |
|
|
666 | ||
|
|
667 | if self.profileIndex >= self.nProfiles: | |
|
|
668 | self.profileIndex = 0 | |
|
|
669 | ||
|
|
670 | def isProfileInRange(self, minIndex, maxIndex): | |
|
|
671 | ||
|
|
672 | if self.profileIndex < minIndex: | |
|
|
673 | return False | |
|
|
674 | ||
|
|
675 | if self.profileIndex > maxIndex: | |
|
|
676 | return False | |
|
|
677 | ||
|
|
678 | return True | |
|
|
679 | ||
|
|
680 | def isProfileInList(self, profileList): | |
|
|
681 | ||
|
|
682 | if self.profileIndex not in profileList: | |
|
|
683 | return False | |
|
|
684 | ||
|
|
685 | return True | |
|
|
686 | ||
|
|
687 | def run(self, dataOut, profileList=None, profileRangeList=None, beam=None, byblock=False): | |
|
|
688 | ||
|
|
689 | dataOut.flagNoData = True | |
|
|
690 | self.nProfiles = dataOut.nProfiles | |
|
|
691 | ||
|
|
692 | if byblock: | |
|
|
693 | ||
|
|
694 | if profileList != None: | |
|
|
695 | dataOut.data = dataOut.data[:,profileList,:] | |
|
|
696 | pass | |
|
|
697 | else: | |
|
|
698 | pmin = profileRangeList[0] | |
|
|
699 | pmax = profileRangeList[1] | |
|
|
700 | dataOut.data = dataOut.data[:,pmin:pmax+1,:] | |
|
|
701 | dataOut.flagNoData = False | |
|
|
702 | self.profileIndex = 0 | |
|
|
703 | return 1 | |
|
|
704 | ||
|
|
705 | if profileList != None: | |
|
|
706 | if self.isProfileInList(profileList): | |
|
|
707 | dataOut.flagNoData = False | |
|
|
708 | ||
|
|
709 | self.incIndex() | |
|
|
710 | return 1 | |
|
|
711 | ||
|
|
712 | ||
|
|
713 | elif profileRangeList != None: | |
|
|
714 | minIndex = profileRangeList[0] | |
|
|
715 | maxIndex = profileRangeList[1] | |
|
|
716 | if self.isProfileInRange(minIndex, maxIndex): | |
|
|
717 | dataOut.flagNoData = False | |
|
|
718 | ||
|
|
719 | self.incIndex() | |
|
|
720 | return 1 | |
|
|
721 | elif beam != None: #beam is only for AMISR data | |
|
|
722 | if self.isProfileInList(dataOut.beamRangeDict[beam]): | |
|
|
723 | dataOut.flagNoData = False | |
|
|
724 | ||
|
|
725 | self.incIndex() | |
|
|
726 | return 1 | |
|
|
727 | ||
|
|
728 | else: | |
|
|
729 | raise ValueError, "ProfileSelector needs profileList or profileRangeList" | |
|
|
730 | ||
|
|
731 | return 0 | |
|
|
732 | ||
|
|
733 | ||
|
|
734 | ||
|
|
735 | class Reshaper(Operation): | |
|
|
736 | def __init__(self): | |
|
|
737 | Operation.__init__(self) | |
|
|
738 | self.updateNewHeights = False | |
|
|
739 | ||
|
|
740 | def run(self, dataOut, shape): | |
|
|
741 | shape_tuple = tuple(shape) | |
|
|
742 | dataOut.data = numpy.reshape(dataOut.data, shape_tuple) | |
|
|
743 | dataOut.flagNoData = False | |
|
|
744 | ||
|
|
745 | if not(self.updateNewHeights): | |
|
|
746 | old_nheights = dataOut.nHeights | |
|
|
747 | new_nheights = dataOut.data.shape[2] | |
|
|
748 | factor = new_nheights / old_nheights | |
|
|
749 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] | |
|
|
750 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * factor | |
|
|
751 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) No newline at end of file | |
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