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1 | import numpy | |
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2 | ||
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3 | class AMISR: | |
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4 | def __init__(self): | |
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5 | self.flagNoData = True | |
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6 | self.data = None | |
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7 | self.utctime = None | |
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8 | self.type = "AMISR" | |
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9 | ||
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10 | #propiedades para compatibilidad con Voltages | |
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11 | self.timeZone = 300#timezone like jroheader, difference in minutes between UTC and localtime | |
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12 | self.dstFlag = 0#self.dataIn.dstFlag | |
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13 | self.errorCount = 0#self.dataIn.errorCount | |
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14 | self.useLocalTime = True#self.dataIn.useLocalTime | |
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15 | ||
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16 | self.radarControllerHeaderObj = None#self.dataIn.radarControllerHeaderObj.copy() | |
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17 | self.systemHeaderObj = None#self.dataIn.systemHeaderObj.copy() | |
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18 | self.channelList = [0]#self.dataIn.channelList esto solo aplica para el caso de AMISR | |
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19 | self.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
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20 | ||
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21 | self.flagTimeBlock = None#self.dataIn.flagTimeBlock | |
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22 | #self.utctime = #self.firstdatatime | |
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23 | self.flagDecodeData = None#self.dataIn.flagDecodeData #asumo q la data esta decodificada | |
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24 | self.flagDeflipData = None#self.dataIn.flagDeflipData #asumo q la data esta sin flip | |
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25 | ||
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26 | self.nCohInt = 1#self.dataIn.nCohInt | |
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27 | self.nIncohInt = 1 | |
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28 | self.ippSeconds = None#self.dataIn.ippSeconds, segun el filename/Setup/Tufile | |
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29 | self.windowOfFilter = None#self.dataIn.windowOfFilter | |
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30 | ||
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31 | self.timeInterval = None#self.dataIn.timeInterval*self.dataOut.nFFTPoints*self.dataOut.nIncohInt | |
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32 | self.frequency = None#self.dataIn.frequency | |
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33 | self.realtime = 0#self.dataIn.realtime | |
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34 | ||
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35 | #actualizar en la lectura de datos | |
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36 | self.heightList = None#self.dataIn.heightList | |
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37 | self.nProfiles = None#Number of samples or nFFTPoints | |
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38 | self.nRecords = None | |
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39 | self.nBeams = None | |
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40 | self.nBaud = None#self.dataIn.nBaud | |
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41 | self.nCode = None#self.dataIn.nCode | |
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42 | self.code = None#self.dataIn.code | |
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43 | ||
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44 | #consideracion para los Beams | |
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45 | self.beamCodeDict = None | |
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46 | self.beamRangeDict = None | |
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47 | ||
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48 | def copy(self, inputObj=None): | |
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49 | ||
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50 | if inputObj == None: | |
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51 | return copy.deepcopy(self) | |
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52 | ||
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53 | for key in inputObj.__dict__.keys(): | |
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54 | self.__dict__[key] = inputObj.__dict__[key] | |
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55 | ||
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56 | ||
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57 | def isEmpty(self): | |
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58 | ||
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59 | return self.flagNoData No newline at end of file | |
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1 | ''' | |
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2 | @author: Daniel Suarez | |
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3 | ''' | |
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4 | ||
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5 | import os | |
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6 | import sys | |
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7 | import glob | |
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8 | import fnmatch | |
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9 | import datetime | |
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10 | import re | |
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11 | import h5py | |
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12 | import numpy | |
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13 | ||
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14 | from model.proc.jroproc_base import ProcessingUnit, Operation | |
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15 | from model.data.jroamisr import AMISR | |
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16 | ||
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17 | class RadacHeader(): | |
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18 | def __init__(self, fp): | |
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19 | header = 'Raw11/Data/RadacHeader' | |
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20 | self.beamCodeByPulse = fp.get(header+'/BeamCode') | |
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21 | self.beamCode = fp.get('Raw11/Data/Beamcodes') | |
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22 | self.code = fp.get(header+'/Code') | |
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23 | self.frameCount = fp.get(header+'/FrameCount') | |
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24 | self.modeGroup = fp.get(header+'/ModeGroup') | |
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25 | self.nsamplesPulse = fp.get(header+'/NSamplesPulse') | |
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26 | self.pulseCount = fp.get(header+'/PulseCount') | |
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27 | self.radacTime = fp.get(header+'/RadacTime') | |
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28 | self.timeCount = fp.get(header+'/TimeCount') | |
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29 | self.timeStatus = fp.get(header+'/TimeStatus') | |
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30 | ||
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31 | self.nrecords = self.pulseCount.shape[0] #nblocks | |
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32 | self.npulses = self.pulseCount.shape[1] #nprofile | |
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33 | self.nsamples = self.nsamplesPulse[0,0] #ngates | |
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34 | self.nbeams = self.beamCode.shape[1] | |
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35 | ||
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36 | ||
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37 | def getIndexRangeToPulse(self, idrecord=0): | |
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38 | indexToZero = numpy.where(self.pulseCount.value[idrecord,:]==0) | |
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39 | startPulseCountId = indexToZero[0][0] | |
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40 | endPulseCountId = startPulseCountId - 1 | |
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41 | range1 = numpy.arange(startPulseCountId,self.npulses,1) | |
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42 | range2 = numpy.arange(0,startPulseCountId,1) | |
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43 | return range1, range2 | |
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44 | ||
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45 | ||
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46 | class AMISRReader(ProcessingUnit): | |
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47 | ||
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48 | path = None | |
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49 | startDate = None | |
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50 | endDate = None | |
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51 | startTime = None | |
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52 | endTime = None | |
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53 | walk = None | |
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54 | isConfig = False | |
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55 | ||
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56 | def __init__(self): | |
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57 | self.set = None | |
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58 | self.subset = None | |
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59 | self.extension_file = '.h5' | |
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60 | self.dtc_str = 'dtc' | |
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61 | self.dtc_id = 0 | |
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62 | self.status = True | |
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63 | self.isConfig = False | |
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64 | self.dirnameList = [] | |
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65 | self.filenameList = [] | |
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66 | self.fileIndex = None | |
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67 | self.flagNoMoreFiles = False | |
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68 | self.flagIsNewFile = 0 | |
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69 | self.filename = '' | |
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70 | self.amisrFilePointer = None | |
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71 | self.radacHeaderObj = None | |
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72 | self.dataOut = self.__createObjByDefault() | |
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73 | self.datablock = None | |
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74 | self.rest_datablock = None | |
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75 | self.range = None | |
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76 | self.idrecord_count = 0 | |
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77 | self.profileIndex = 0 | |
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78 | self.idpulse_range1 = None | |
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79 | self.idpulse_range2 = None | |
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80 | self.beamCodeByFrame = None | |
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81 | self.radacTimeByFrame = None | |
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82 | #atributos originales tal y como esta en el archivo de datos | |
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83 | self.beamCodesFromFile = None | |
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84 | self.radacTimeFromFile = None | |
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85 | self.rangeFromFile = None | |
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86 | self.dataByFrame = None | |
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87 | self.dataset = None | |
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88 | ||
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89 | self.beamCodeDict = {} | |
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90 | self.beamRangeDict = {} | |
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91 | ||
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92 | #experiment cgf file | |
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93 | self.npulsesint_fromfile = None | |
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94 | self.recordsperfile_fromfile = None | |
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95 | self.nbeamcodes_fromfile = None | |
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96 | self.ngates_fromfile = None | |
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97 | self.ippSeconds_fromfile = None | |
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98 | self.frequency_h5file = None | |
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99 | ||
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100 | ||
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101 | self.__firstFile = True | |
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102 | self.buffer_radactime = None | |
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103 | ||
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104 | def __createObjByDefault(self): | |
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105 | ||
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106 | dataObj = AMISR() | |
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107 | ||
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108 | return dataObj | |
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109 | ||
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110 | def __setParameters(self,path,startDate,endDate,startTime,endTime,walk): | |
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111 | self.path = path | |
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112 | self.startDate = startDate | |
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113 | self.endDate = endDate | |
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114 | self.startTime = startTime | |
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115 | self.endTime = endTime | |
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116 | self.walk = walk | |
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117 | ||
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118 | def __checkPath(self): | |
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119 | if os.path.exists(self.path): | |
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120 | self.status = 1 | |
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121 | else: | |
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122 | self.status = 0 | |
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123 | print 'Path:%s does not exists'%self.path | |
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124 | ||
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125 | return | |
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126 | ||
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127 | def __selDates(self, amisr_dirname_format): | |
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128 | try: | |
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129 | year = int(amisr_dirname_format[0:4]) | |
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130 | month = int(amisr_dirname_format[4:6]) | |
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131 | dom = int(amisr_dirname_format[6:8]) | |
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132 | thisDate = datetime.date(year,month,dom) | |
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133 | ||
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134 | if (thisDate>=self.startDate and thisDate <= self.endDate): | |
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135 | return amisr_dirname_format | |
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136 | except: | |
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137 | return None | |
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138 | ||
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139 | def __findDataForDates(self): | |
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140 | ||
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141 | ||
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142 | ||
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143 | if not(self.status): | |
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144 | return None | |
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145 | ||
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146 | pat = '\d+.\d+' | |
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147 | dirnameList = [re.search(pat,x) for x in os.listdir(self.path)] | |
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148 | dirnameList = filter(lambda x:x!=None,dirnameList) | |
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149 | dirnameList = [x.string for x in dirnameList] | |
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150 | dirnameList = [self.__selDates(x) for x in dirnameList] | |
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151 | dirnameList = filter(lambda x:x!=None,dirnameList) | |
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152 | if len(dirnameList)>0: | |
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153 | self.status = 1 | |
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154 | self.dirnameList = dirnameList | |
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155 | self.dirnameList.sort() | |
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156 | else: | |
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157 | self.status = 0 | |
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158 | return None | |
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159 | ||
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160 | def __getTimeFromData(self): | |
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161 | pass | |
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162 | ||
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163 | def __filterByGlob1(self, dirName): | |
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164 | filter_files = glob.glob1(dirName, '*.*%s'%self.extension_file) | |
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165 | filterDict = {} | |
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166 | filterDict.setdefault(dirName) | |
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167 | filterDict[dirName] = filter_files | |
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168 | return filterDict | |
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169 | ||
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170 | def __getFilenameList(self, fileListInKeys, dirList): | |
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171 | for value in fileListInKeys: | |
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172 | dirName = value.keys()[0] | |
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173 | for file in value[dirName]: | |
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174 | filename = os.path.join(dirName, file) | |
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175 | self.filenameList.append(filename) | |
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176 | ||
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177 | ||
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178 | def __selectDataForTimes(self): | |
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179 | #aun no esta implementado el filtro for tiempo | |
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180 | if not(self.status): | |
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181 | return None | |
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182 | ||
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183 | dirList = [os.path.join(self.path,x) for x in self.dirnameList] | |
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184 | ||
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185 | fileListInKeys = [self.__filterByGlob1(x) for x in dirList] | |
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186 | ||
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187 | self.__getFilenameList(fileListInKeys, dirList) | |
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188 | ||
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189 | if len(self.filenameList)>0: | |
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190 | self.status = 1 | |
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191 | self.filenameList.sort() | |
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192 | else: | |
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193 | self.status = 0 | |
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194 | return None | |
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195 | ||
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196 | ||
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197 | def __searchFilesOffline(self, | |
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198 | path, | |
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199 | startDate, | |
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200 | endDate, | |
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201 | startTime=datetime.time(0,0,0), | |
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202 | endTime=datetime.time(23,59,59), | |
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203 | walk=True): | |
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204 | ||
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205 | self.__setParameters(path, startDate, endDate, startTime, endTime, walk) | |
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206 | ||
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207 | self.__checkPath() | |
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208 | ||
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209 | self.__findDataForDates() | |
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210 | ||
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211 | self.__selectDataForTimes() | |
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212 | ||
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213 | for i in range(len(self.filenameList)): | |
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214 | print "%s" %(self.filenameList[i]) | |
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215 | ||
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216 | return | |
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217 | ||
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218 | def __setNextFileOffline(self): | |
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219 | idFile = self.fileIndex | |
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220 | ||
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221 | while (True): | |
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222 | idFile += 1 | |
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223 | if not(idFile < len(self.filenameList)): | |
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224 | self.flagNoMoreFiles = 1 | |
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225 | print "No more Files" | |
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226 | return 0 | |
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227 | ||
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228 | filename = self.filenameList[idFile] | |
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229 | ||
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230 | amisrFilePointer = h5py.File(filename,'r') | |
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231 | ||
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232 | break | |
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233 | ||
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234 | self.flagIsNewFile = 1 | |
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235 | self.fileIndex = idFile | |
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236 | self.filename = filename | |
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237 | ||
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238 | self.amisrFilePointer = amisrFilePointer | |
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239 | ||
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240 | print "Setting the file: %s"%self.filename | |
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241 | ||
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242 | return 1 | |
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243 | ||
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244 | def __readHeader(self): | |
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245 | self.radacHeaderObj = RadacHeader(self.amisrFilePointer) | |
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246 | ||
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247 | #update values from experiment cfg file | |
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248 | if self.radacHeaderObj.nrecords == self.recordsperfile_fromfile: | |
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249 | self.radacHeaderObj.nrecords = self.recordsperfile_fromfile | |
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250 | self.radacHeaderObj.nbeams = self.nbeamcodes_fromfile | |
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251 | self.radacHeaderObj.npulses = self.npulsesint_fromfile | |
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252 | self.radacHeaderObj.nsamples = self.ngates_fromfile | |
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253 | ||
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254 | #get tuning frequency | |
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255 | frequency_h5file_dataset = self.amisrFilePointer.get('Rx'+'/TuningFrequency') | |
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256 | self.frequency_h5file = frequency_h5file_dataset[0,0] | |
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257 | ||
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258 | self.flagIsNewFile = 1 | |
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259 | ||
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260 | def __getBeamCode(self): | |
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261 | self.beamCodeDict = {} | |
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262 | self.beamRangeDict = {} | |
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263 | ||
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264 | for i in range(len(self.radacHeaderObj.beamCode[0,:])): | |
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265 | self.beamCodeDict.setdefault(i) | |
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266 | self.beamRangeDict.setdefault(i) | |
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267 | self.beamCodeDict[i] = self.radacHeaderObj.beamCode[0,i] | |
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268 | ||
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269 | ||
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270 | just4record0 = self.radacHeaderObj.beamCodeByPulse[0,:] | |
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271 | ||
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272 | for i in range(len(self.beamCodeDict.values())): | |
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273 | xx = numpy.where(just4record0==self.beamCodeDict.values()[i]) | |
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274 | self.beamRangeDict[i] = xx[0] | |
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275 | ||
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276 | def __getExpParameters(self): | |
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277 | if not(self.status): | |
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278 | return None | |
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279 | ||
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280 | experimentCfgPath = os.path.join(self.path, self.dirnameList[0], 'Setup') | |
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281 | ||
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282 | expFinder = glob.glob1(experimentCfgPath,'*.exp') | |
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283 | if len(expFinder)== 0: | |
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284 | self.status = 0 | |
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285 | return None | |
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286 | ||
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287 | experimentFilename = os.path.join(experimentCfgPath,expFinder[0]) | |
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288 | ||
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289 | f = open(experimentFilename) | |
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290 | lines = f.readlines() | |
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291 | f.close() | |
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292 | ||
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293 | parmsList = ['npulsesint*','recordsperfile*','nbeamcodes*','ngates*'] | |
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294 | filterList = [fnmatch.filter(lines, x) for x in parmsList] | |
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295 | ||
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296 | ||
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297 | values = [re.sub(r'\D',"",x[0]) for x in filterList] | |
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298 | ||
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299 | self.npulsesint_fromfile = int(values[0]) | |
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300 | self.recordsperfile_fromfile = int(values[1]) | |
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301 | self.nbeamcodes_fromfile = int(values[2]) | |
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302 | self.ngates_fromfile = int(values[3]) | |
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303 | ||
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304 | tufileFinder = fnmatch.filter(lines, 'tufile=*') | |
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305 | tufile = tufileFinder[0].split('=')[1].split('\n')[0] | |
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306 | tufilename = os.path.join(experimentCfgPath,tufile) | |
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307 | ||
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308 | f = open(tufilename) | |
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309 | lines = f.readlines() | |
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310 | f.close() | |
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311 | self.ippSeconds_fromfile = float(lines[1].split()[2])/1E6 | |
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312 | ||
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313 | ||
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314 | self.status = 1 | |
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315 | ||
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316 | def __setIdsAndArrays(self): | |
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317 | self.dataByFrame = self.__setDataByFrame() | |
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318 | self.beamCodeByFrame = self.amisrFilePointer.get('Raw11/Data/RadacHeader/BeamCode').value[0, :] | |
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319 | self.readRanges() | |
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320 | self.idpulse_range1, self.idpulse_range2 = self.radacHeaderObj.getIndexRangeToPulse(0) | |
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321 | self.radacTimeByFrame = numpy.zeros(self.radacHeaderObj.npulses) | |
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322 | self.buffer_radactime = numpy.zeros_like(self.radacTimeByFrame) | |
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323 | ||
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324 | ||
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325 | def __setNextFile(self): | |
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326 | ||
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327 | newFile = self.__setNextFileOffline() | |
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328 | ||
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329 | if not(newFile): | |
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330 | return 0 | |
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331 | ||
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332 | self.__readHeader() | |
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333 | ||
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334 | if self.__firstFile: | |
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335 | self.__setIdsAndArrays() | |
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336 | self.__firstFile = False | |
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337 | ||
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338 | self.__getBeamCode() | |
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339 | self.readDataBlock() | |
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340 | ||
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341 | ||
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342 | def setup(self,path=None, | |
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343 | startDate=None, | |
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344 | endDate=None, | |
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345 | startTime=datetime.time(0,0,0), | |
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346 | endTime=datetime.time(23,59,59), | |
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347 | walk=True): | |
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348 | ||
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349 | #Busqueda de archivos offline | |
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350 | self.__searchFilesOffline(path, startDate, endDate, startTime, endTime, walk) | |
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351 | ||
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352 | if not(self.filenameList): | |
|
|
353 | print "There is no files into the folder: %s"%(path) | |
|
|
354 | ||
|
|
355 | sys.exit(-1) | |
|
|
356 | ||
|
|
357 | self.__getExpParameters() | |
|
|
358 | ||
|
|
359 | self.fileIndex = -1 | |
|
|
360 | ||
|
|
361 | self.__setNextFile() | |
|
|
362 | ||
|
|
363 | def readRanges(self): | |
|
|
364 | dataset = self.amisrFilePointer.get('Raw11/Data/Samples/Range') | |
|
|
365 | #self.rangeFromFile = dataset.value | |
|
|
366 | self.rangeFromFile = numpy.reshape(dataset.value,(-1)) | |
|
|
367 | return range | |
|
|
368 | ||
|
|
369 | ||
|
|
370 | def readRadacTime(self,idrecord, range1, range2): | |
|
|
371 | self.radacTimeFromFile = self.radacHeaderObj.radacTime.value | |
|
|
372 | ||
|
|
373 | radacTimeByFrame = numpy.zeros((self.radacHeaderObj.npulses)) | |
|
|
374 | #radacTimeByFrame = dataset[idrecord - 1,range1] | |
|
|
375 | #radacTimeByFrame = dataset[idrecord,range2] | |
|
|
376 | ||
|
|
377 | return radacTimeByFrame | |
|
|
378 | ||
|
|
379 | def readBeamCode(self, idrecord, range1, range2): | |
|
|
380 | dataset = self.amisrFilePointer.get('Raw11/Data/RadacHeader/BeamCode') | |
|
|
381 | beamcodeByFrame = numpy.zeros((self.radacHeaderObj.npulses)) | |
|
|
382 | self.beamCodesFromFile = dataset.value | |
|
|
383 | ||
|
|
384 | #beamcodeByFrame[range1] = dataset[idrecord - 1, range1] | |
|
|
385 | #beamcodeByFrame[range2] = dataset[idrecord, range2] | |
|
|
386 | beamcodeByFrame[range1] = dataset[idrecord, range1] | |
|
|
387 | beamcodeByFrame[range2] = dataset[idrecord, range2] | |
|
|
388 | ||
|
|
389 | return beamcodeByFrame | |
|
|
390 | ||
|
|
391 | ||
|
|
392 | def __setDataByFrame(self): | |
|
|
393 | ndata = 2 # porque es complejo | |
|
|
394 | dataByFrame = numpy.zeros((self.radacHeaderObj.npulses, self.radacHeaderObj.nsamples, ndata)) | |
|
|
395 | return dataByFrame | |
|
|
396 | ||
|
|
397 | def __readDataSet(self): | |
|
|
398 | dataset = self.amisrFilePointer.get('Raw11/Data/Samples/Data') | |
|
|
399 | return dataset | |
|
|
400 | ||
|
|
401 | def __setDataBlock(self,): | |
|
|
402 | real = self.dataByFrame[:,:,0] #asumo que 0 es real | |
|
|
403 | imag = self.dataByFrame[:,:,1] #asumo que 1 es imaginario | |
|
|
404 | datablock = real + imag*1j #armo el complejo | |
|
|
405 | return datablock | |
|
|
406 | ||
|
|
407 | def readSamples_version1(self,idrecord): | |
|
|
408 | #estas tres primeras lineas solo se deben ejecutar una vez | |
|
|
409 | if self.flagIsNewFile: | |
|
|
410 | #reading dataset | |
|
|
411 | self.dataset = self.__readDataSet() | |
|
|
412 | self.flagIsNewFile = 0 | |
|
|
413 | ||
|
|
414 | if idrecord == 0: | |
|
|
415 | #if self.buffer_last_record == None: | |
|
|
416 | selectorById = self.radacHeaderObj.pulseCount[0,self.idpulse_range2] | |
|
|
417 | ||
|
|
418 | self.dataByFrame[selectorById,:,:] = self.dataset[0, self.idpulse_range2,:,:] | |
|
|
419 | ||
|
|
420 | self.radacTimeByFrame[selectorById] = self.radacHeaderObj.radacTime[0, self.idpulse_range2] | |
|
|
421 | ||
|
|
422 | selectorById = self.radacHeaderObj.pulseCount[0,self.idpulse_range1] | |
|
|
423 | ||
|
|
424 | self.radacTimeByFrame[selectorById] = self.buffer_radactime[selectorById] | |
|
|
425 | ||
|
|
426 | datablock = self.__setDataBlock() | |
|
|
427 | ||
|
|
428 | return datablock | |
|
|
429 | ||
|
|
430 | selectorById = self.radacHeaderObj.pulseCount[idrecord-1,self.idpulse_range1] | |
|
|
431 | self.dataByFrame[selectorById,:,:] = self.dataset[idrecord-1, self.idpulse_range1, :, :] | |
|
|
432 | self.radacTimeByFrame[selectorById] = self.radacHeaderObj.radacTime[idrecord-1, self.idpulse_range1] | |
|
|
433 | ||
|
|
434 | selectorById = self.radacHeaderObj.pulseCount[idrecord,self.idpulse_range2]#data incompleta ultimo archivo de carpeta, verifica el record real segun la dimension del arreglo de datos | |
|
|
435 | self.dataByFrame[selectorById,:,:] = self.dataset[idrecord, self.idpulse_range2, :, :] | |
|
|
436 | self.radacTimeByFrame[selectorById] = self.radacHeaderObj.radacTime[idrecord, self.idpulse_range2] | |
|
|
437 | ||
|
|
438 | datablock = self.__setDataBlock() | |
|
|
439 | ||
|
|
440 | selectorById = self.radacHeaderObj.pulseCount[idrecord,self.idpulse_range1] | |
|
|
441 | self.dataByFrame[selectorById,:,:] = self.dataset[idrecord, self.idpulse_range1, :, :] | |
|
|
442 | self.buffer_radactime[selectorById] = self.radacHeaderObj.radacTime[idrecord, self.idpulse_range1] | |
|
|
443 | ||
|
|
444 | return datablock | |
|
|
445 | ||
|
|
446 | ||
|
|
447 | def readSamples(self,idrecord): | |
|
|
448 | if self.flagIsNewFile: | |
|
|
449 | self.dataByFrame = self.__setDataByFrame() | |
|
|
450 | self.beamCodeByFrame = self.amisrFilePointer.get('Raw11/Data/RadacHeader/BeamCode').value[idrecord, :] | |
|
|
451 | ||
|
|
452 | #reading ranges | |
|
|
453 | self.readRanges() | |
|
|
454 | #reading dataset | |
|
|
455 | self.dataset = self.__readDataSet() | |
|
|
456 | ||
|
|
457 | self.flagIsNewFile = 0 | |
|
|
458 | self.radacTimeByFrame = self.radacHeaderObj.radacTime.value[idrecord, :] | |
|
|
459 | self.dataByFrame = self.dataset[idrecord, :, :, :] | |
|
|
460 | datablock = self.__setDataBlock() | |
|
|
461 | return datablock | |
|
|
462 | ||
|
|
463 | ||
|
|
464 | def readDataBlock(self): | |
|
|
465 | ||
|
|
466 | self.datablock = self.readSamples_version1(self.idrecord_count) | |
|
|
467 | #self.datablock = self.readSamples(self.idrecord_count) | |
|
|
468 | #print 'record:', self.idrecord_count | |
|
|
469 | ||
|
|
470 | self.idrecord_count += 1 | |
|
|
471 | self.profileIndex = 0 | |
|
|
472 | ||
|
|
473 | if self.idrecord_count >= self.radacHeaderObj.nrecords: | |
|
|
474 | self.idrecord_count = 0 | |
|
|
475 | self.flagIsNewFile = 1 | |
|
|
476 | ||
|
|
477 | def readNextBlock(self): | |
|
|
478 | ||
|
|
479 | self.readDataBlock() | |
|
|
480 | ||
|
|
481 | if self.flagIsNewFile: | |
|
|
482 | self.__setNextFile() | |
|
|
483 | pass | |
|
|
484 | ||
|
|
485 | def __hasNotDataInBuffer(self): | |
|
|
486 | #self.radacHeaderObj.npulses debe ser otra variable para considerar el numero de pulsos a tomar en el primer y ultimo record | |
|
|
487 | if self.profileIndex >= self.radacHeaderObj.npulses: | |
|
|
488 | return 1 | |
|
|
489 | return 0 | |
|
|
490 | ||
|
|
491 | def printUTC(self): | |
|
|
492 | print self.dataOut.utctime | |
|
|
493 | print '' | |
|
|
494 | ||
|
|
495 | def setObjProperties(self): | |
|
|
496 | self.dataOut.heightList = self.rangeFromFile/1000.0 #km | |
|
|
497 | self.dataOut.nProfiles = self.radacHeaderObj.npulses | |
|
|
498 | self.dataOut.nRecords = self.radacHeaderObj.nrecords | |
|
|
499 | self.dataOut.nBeams = self.radacHeaderObj.nbeams | |
|
|
500 | self.dataOut.ippSeconds = self.ippSeconds_fromfile | |
|
|
501 | self.dataOut.timeInterval = self.dataOut.ippSeconds * self.dataOut.nCohInt | |
|
|
502 | self.dataOut.frequency = self.frequency_h5file | |
|
|
503 | self.dataOut.nBaud = None | |
|
|
504 | self.dataOut.nCode = None | |
|
|
505 | self.dataOut.code = None | |
|
|
506 | ||
|
|
507 | self.dataOut.beamCodeDict = self.beamCodeDict | |
|
|
508 | self.dataOut.beamRangeDict = self.beamRangeDict | |
|
|
509 | ||
|
|
510 | def getData(self): | |
|
|
511 | ||
|
|
512 | if self.flagNoMoreFiles: | |
|
|
513 | self.dataOut.flagNoData = True | |
|
|
514 | print 'Process finished' | |
|
|
515 | return 0 | |
|
|
516 | ||
|
|
517 | if self.__hasNotDataInBuffer(): | |
|
|
518 | self.readNextBlock() | |
|
|
519 | ||
|
|
520 | ||
|
|
521 | if self.datablock == None: # setear esta condicion cuando no hayan datos por leers | |
|
|
522 | self.dataOut.flagNoData = True | |
|
|
523 | return 0 | |
|
|
524 | ||
|
|
525 | self.dataOut.data = numpy.reshape(self.datablock[self.profileIndex,:],(1,-1)) | |
|
|
526 | ||
|
|
527 | self.dataOut.utctime = self.radacTimeByFrame[self.profileIndex] | |
|
|
528 | ||
|
|
529 | self.dataOut.flagNoData = False | |
|
|
530 | ||
|
|
531 | self.profileIndex += 1 | |
|
|
532 | ||
|
|
533 | return self.dataOut.data | |
|
|
534 | ||
|
|
535 | ||
|
|
536 | def run(self, **kwargs): | |
|
|
537 | if not(self.isConfig): | |
|
|
538 | self.setup(**kwargs) | |
|
|
539 | self.setObjProperties() | |
|
|
540 | self.isConfig = True | |
|
|
541 | ||
|
|
542 | self.getData() | |
| @@ -0,0 +1,82 | |||
|
|
1 | ''' | |
|
|
2 | @author: Daniel Suarez | |
|
|
3 | ''' | |
|
|
4 | ||
|
|
5 | from jroproc_base import ProcessingUnit, Operation | |
|
|
6 | from model.data.jroamisr import AMISR | |
|
|
7 | ||
|
|
8 | class AMISRProc(ProcessingUnit): | |
|
|
9 | def __init__(self): | |
|
|
10 | ProcessingUnit.__init__(self) | |
|
|
11 | self.objectDict = {} | |
|
|
12 | self.dataOut = AMISR() | |
|
|
13 | ||
|
|
14 | def run(self): | |
|
|
15 | if self.dataIn.type == 'AMISR': | |
|
|
16 | self.dataOut.copy(self.dataIn) | |
|
|
17 | ||
|
|
18 | ||
|
|
19 | class PrintInfo(Operation): | |
|
|
20 | def __init__(self): | |
|
|
21 | pass | |
|
|
22 | ||
|
|
23 | def run(self, dataOut): | |
|
|
24 | ||
|
|
25 | print 'Number of Records by File: %d'%dataOut.nRecords | |
|
|
26 | print 'Number of Pulses: %d'%dataOut.nProfiles | |
|
|
27 | print 'Number of Samples by Pulse: %d'%len(dataOut.heightList) | |
|
|
28 | print 'Ipp Seconds: %f'%dataOut.ippSeconds | |
|
|
29 | print 'Number of Beams: %d'%dataOut.nBeams | |
|
|
30 | print 'BeamCodes:' | |
|
|
31 | beamStrList = ['Beam %d -> Code %d'%(k,v) for k,v in dataOut.beamCodeDict.items()] | |
|
|
32 | for b in beamStrList: | |
|
|
33 | print b | |
|
|
34 | ||
|
|
35 | ||
|
|
36 | class BeamSelector(Operation): | |
|
|
37 | profileIndex = None | |
|
|
38 | nProfiles = None | |
|
|
39 | ||
|
|
40 | def __init__(self): | |
|
|
41 | ||
|
|
42 | self.profileIndex = 0 | |
|
|
43 | ||
|
|
44 | def incIndex(self): | |
|
|
45 | self.profileIndex += 1 | |
|
|
46 | ||
|
|
47 | if self.profileIndex >= self.nProfiles: | |
|
|
48 | self.profileIndex = 0 | |
|
|
49 | ||
|
|
50 | def isProfileInRange(self, minIndex, maxIndex): | |
|
|
51 | ||
|
|
52 | if self.profileIndex < minIndex: | |
|
|
53 | return False | |
|
|
54 | ||
|
|
55 | if self.profileIndex > maxIndex: | |
|
|
56 | return False | |
|
|
57 | ||
|
|
58 | return True | |
|
|
59 | ||
|
|
60 | def isProfileInList(self, profileList): | |
|
|
61 | ||
|
|
62 | if self.profileIndex not in profileList: | |
|
|
63 | return False | |
|
|
64 | ||
|
|
65 | return True | |
|
|
66 | ||
|
|
67 | def run(self, dataOut, beam=None): | |
|
|
68 | ||
|
|
69 | dataOut.flagNoData = True | |
|
|
70 | self.nProfiles = dataOut.nProfiles | |
|
|
71 | ||
|
|
72 | if beam != None: | |
|
|
73 | if self.isProfileInList(dataOut.beamRangeDict[beam]): | |
|
|
74 | dataOut.flagNoData = False | |
|
|
75 | ||
|
|
76 | self.incIndex() | |
|
|
77 | return 1 | |
|
|
78 | ||
|
|
79 | else: | |
|
|
80 | raise ValueError, "BeamSelector needs beam value" | |
|
|
81 | ||
|
|
82 | return 0 No newline at end of file | |
| @@ -1,782 +1,725 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: murco $ |
|
|
4 | 4 | $Id: JROData.py 173 2012-11-20 15:06:21Z murco $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import copy |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | import datetime |
|
|
10 | 10 | |
|
|
11 | 11 | from jroheaderIO import SystemHeader, RadarControllerHeader |
|
|
12 | 12 | |
|
|
13 | 13 | def getNumpyDtype(dataTypeCode): |
|
|
14 | 14 | |
|
|
15 | 15 | if dataTypeCode == 0: |
|
|
16 | 16 | numpyDtype = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
17 | 17 | elif dataTypeCode == 1: |
|
|
18 | 18 | numpyDtype = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
19 | 19 | elif dataTypeCode == 2: |
|
|
20 | 20 | numpyDtype = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
21 | 21 | elif dataTypeCode == 3: |
|
|
22 | 22 | numpyDtype = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
23 | 23 | elif dataTypeCode == 4: |
|
|
24 | 24 | numpyDtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
25 | 25 | elif dataTypeCode == 5: |
|
|
26 | 26 | numpyDtype = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
27 | 27 | else: |
|
|
28 | 28 | raise ValueError, 'dataTypeCode was not defined' |
|
|
29 | 29 | |
|
|
30 | 30 | return numpyDtype |
|
|
31 | 31 | |
|
|
32 | 32 | def getDataTypeCode(numpyDtype): |
|
|
33 | 33 | |
|
|
34 | 34 | if numpyDtype == numpy.dtype([('real','<i1'),('imag','<i1')]): |
|
|
35 | 35 | datatype = 0 |
|
|
36 | 36 | elif numpyDtype == numpy.dtype([('real','<i2'),('imag','<i2')]): |
|
|
37 | 37 | datatype = 1 |
|
|
38 | 38 | elif numpyDtype == numpy.dtype([('real','<i4'),('imag','<i4')]): |
|
|
39 | 39 | datatype = 2 |
|
|
40 | 40 | elif numpyDtype == numpy.dtype([('real','<i8'),('imag','<i8')]): |
|
|
41 | 41 | datatype = 3 |
|
|
42 | 42 | elif numpyDtype == numpy.dtype([('real','<f4'),('imag','<f4')]): |
|
|
43 | 43 | datatype = 4 |
|
|
44 | 44 | elif numpyDtype == numpy.dtype([('real','<f8'),('imag','<f8')]): |
|
|
45 | 45 | datatype = 5 |
|
|
46 | 46 | else: |
|
|
47 | 47 | datatype = None |
|
|
48 | 48 | |
|
|
49 | 49 | return datatype |
|
|
50 | 50 | |
|
|
51 | 51 | def hildebrand_sekhon(data, navg): |
|
|
52 | 52 | |
|
|
53 | 53 | data = data.copy() |
|
|
54 | 54 | |
|
|
55 | 55 | sortdata = numpy.sort(data,axis=None) |
|
|
56 | 56 | lenOfData = len(sortdata) |
|
|
57 | 57 | nums_min = lenOfData/10 |
|
|
58 | 58 | |
|
|
59 | 59 | if (lenOfData/10) > 2: |
|
|
60 | 60 | nums_min = lenOfData/10 |
|
|
61 | 61 | else: |
|
|
62 | 62 | nums_min = 2 |
|
|
63 | 63 | |
|
|
64 | 64 | sump = 0. |
|
|
65 | 65 | |
|
|
66 | 66 | sumq = 0. |
|
|
67 | 67 | |
|
|
68 | 68 | j = 0 |
|
|
69 | 69 | |
|
|
70 | 70 | cont = 1 |
|
|
71 | 71 | |
|
|
72 | 72 | while((cont==1)and(j<lenOfData)): |
|
|
73 | 73 | |
|
|
74 | 74 | sump += sortdata[j] |
|
|
75 | 75 | |
|
|
76 | 76 | sumq += sortdata[j]**2 |
|
|
77 | 77 | |
|
|
78 | 78 | j += 1 |
|
|
79 | 79 | |
|
|
80 | 80 | if j > nums_min: |
|
|
81 | 81 | rtest = float(j)/(j-1) + 1.0/navg |
|
|
82 | 82 | if ((sumq*j) > (rtest*sump**2)): |
|
|
83 | 83 | j = j - 1 |
|
|
84 | 84 | sump = sump - sortdata[j] |
|
|
85 | 85 | sumq = sumq - sortdata[j]**2 |
|
|
86 | 86 | cont = 0 |
|
|
87 | 87 | |
|
|
88 | 88 | lnoise = sump /j |
|
|
89 | 89 | stdv = numpy.sqrt((sumq - lnoise**2)/(j - 1)) |
|
|
90 | 90 | return lnoise |
|
|
91 | 91 | |
|
|
92 | 92 | class GenericData(object): |
|
|
93 | 93 | |
|
|
94 | 94 | flagNoData = True |
|
|
95 | 95 | |
|
|
96 | 96 | def __init__(self): |
|
|
97 | 97 | |
|
|
98 | 98 | raise ValueError, "This class has not been implemented" |
|
|
99 | 99 | |
|
|
100 | 100 | def copy(self, inputObj=None): |
|
|
101 | 101 | |
|
|
102 | 102 | if inputObj == None: |
|
|
103 | 103 | return copy.deepcopy(self) |
|
|
104 | 104 | |
|
|
105 | 105 | for key in inputObj.__dict__.keys(): |
|
|
106 | 106 | self.__dict__[key] = inputObj.__dict__[key] |
|
|
107 | 107 | |
|
|
108 | 108 | def deepcopy(self): |
|
|
109 | 109 | |
|
|
110 | 110 | return copy.deepcopy(self) |
|
|
111 | 111 | |
|
|
112 | 112 | def isEmpty(self): |
|
|
113 | 113 | |
|
|
114 | 114 | return self.flagNoData |
|
|
115 | 115 | |
|
|
116 | 116 | class JROData(GenericData): |
|
|
117 | 117 | |
|
|
118 | 118 | # m_BasicHeader = BasicHeader() |
|
|
119 | 119 | # m_ProcessingHeader = ProcessingHeader() |
|
|
120 | 120 | |
|
|
121 | 121 | systemHeaderObj = SystemHeader() |
|
|
122 | 122 | |
|
|
123 | 123 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
124 | 124 | |
|
|
125 | 125 | # data = None |
|
|
126 | 126 | |
|
|
127 | 127 | type = None |
|
|
128 | 128 | |
|
|
129 | 129 | datatype = None #dtype but in string |
|
|
130 | 130 | |
|
|
131 | 131 | # dtype = None |
|
|
132 | 132 | |
|
|
133 | 133 | # nChannels = None |
|
|
134 | 134 | |
|
|
135 | 135 | # nHeights = None |
|
|
136 | 136 | |
|
|
137 | 137 | nProfiles = None |
|
|
138 | 138 | |
|
|
139 | 139 | heightList = None |
|
|
140 | 140 | |
|
|
141 | 141 | channelList = None |
|
|
142 | 142 | |
|
|
143 | 143 | flagTimeBlock = False |
|
|
144 | 144 | |
|
|
145 | 145 | useLocalTime = False |
|
|
146 | 146 | |
|
|
147 | 147 | utctime = None |
|
|
148 | 148 | |
|
|
149 | 149 | timeZone = None |
|
|
150 | 150 | |
|
|
151 | 151 | dstFlag = None |
|
|
152 | 152 | |
|
|
153 | 153 | errorCount = None |
|
|
154 | 154 | |
|
|
155 | 155 | blocksize = None |
|
|
156 | 156 | |
|
|
157 | 157 | nCode = None |
|
|
158 | 158 | |
|
|
159 | 159 | nBaud = None |
|
|
160 | 160 | |
|
|
161 | 161 | code = None |
|
|
162 | 162 | |
|
|
163 | 163 | flagDecodeData = False #asumo q la data no esta decodificada |
|
|
164 | 164 | |
|
|
165 | 165 | flagDeflipData = False #asumo q la data no esta sin flip |
|
|
166 | 166 | |
|
|
167 | 167 | flagShiftFFT = False |
|
|
168 | 168 | |
|
|
169 | 169 | # ippSeconds = None |
|
|
170 | 170 | |
|
|
171 | 171 | timeInterval = None |
|
|
172 | 172 | |
|
|
173 | 173 | nCohInt = None |
|
|
174 | 174 | |
|
|
175 | 175 | noise = None |
|
|
176 | 176 | |
|
|
177 | 177 | windowOfFilter = 1 |
|
|
178 | 178 | |
|
|
179 | 179 | #Speed of ligth |
|
|
180 | 180 | C = 3e8 |
|
|
181 | 181 | |
|
|
182 | 182 | frequency = 49.92e6 |
|
|
183 | 183 | |
|
|
184 | 184 | realtime = False |
|
|
185 | 185 | |
|
|
186 | 186 | beacon_heiIndexList = None |
|
|
187 | 187 | |
|
|
188 | 188 | last_block = None |
|
|
189 | 189 | |
|
|
190 | 190 | blocknow = None |
|
|
191 | 191 | |
|
|
192 | 192 | def __init__(self): |
|
|
193 | 193 | |
|
|
194 | 194 | raise ValueError, "This class has not been implemented" |
|
|
195 | 195 | |
|
|
196 | 196 | def getNoise(self): |
|
|
197 | 197 | |
|
|
198 | 198 | raise ValueError, "Not implemented" |
|
|
199 | 199 | |
|
|
200 | 200 | def getNChannels(self): |
|
|
201 | 201 | |
|
|
202 | 202 | return len(self.channelList) |
|
|
203 | 203 | |
|
|
204 | 204 | def getChannelIndexList(self): |
|
|
205 | 205 | |
|
|
206 | 206 | return range(self.nChannels) |
|
|
207 | 207 | |
|
|
208 | 208 | def getNHeights(self): |
|
|
209 | 209 | |
|
|
210 | 210 | return len(self.heightList) |
|
|
211 | 211 | |
|
|
212 | 212 | def getHeiRange(self, extrapoints=0): |
|
|
213 | 213 | |
|
|
214 | 214 | heis = self.heightList |
|
|
215 | 215 | # deltah = self.heightList[1] - self.heightList[0] |
|
|
216 | 216 | # |
|
|
217 | 217 | # heis.append(self.heightList[-1]) |
|
|
218 | 218 | |
|
|
219 | 219 | return heis |
|
|
220 | 220 | |
|
|
221 | 221 | def getltctime(self): |
|
|
222 | 222 | |
|
|
223 | 223 | if self.useLocalTime: |
|
|
224 | 224 | return self.utctime - self.timeZone*60 |
|
|
225 | 225 | |
|
|
226 | 226 | return self.utctime |
|
|
227 | 227 | |
|
|
228 | 228 | def getDatatime(self): |
|
|
229 | 229 | |
|
|
230 | 230 | datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
231 | 231 | return datatimeValue |
|
|
232 | 232 | |
|
|
233 | 233 | def getTimeRange(self): |
|
|
234 | 234 | |
|
|
235 | 235 | datatime = [] |
|
|
236 | 236 | |
|
|
237 | 237 | datatime.append(self.ltctime) |
|
|
238 | 238 | datatime.append(self.ltctime + self.timeInterval) |
|
|
239 | 239 | |
|
|
240 | 240 | datatime = numpy.array(datatime) |
|
|
241 | 241 | |
|
|
242 | 242 | return datatime |
|
|
243 | 243 | |
|
|
244 | 244 | def getFmax(self): |
|
|
245 | 245 | |
|
|
246 | 246 | PRF = 1./(self.ippSeconds * self.nCohInt) |
|
|
247 | 247 | |
|
|
248 | 248 | fmax = PRF/2. |
|
|
249 | 249 | |
|
|
250 | 250 | return fmax |
|
|
251 | 251 | |
|
|
252 | 252 | def getVmax(self): |
|
|
253 | 253 | |
|
|
254 | 254 | _lambda = self.C/self.frequency |
|
|
255 | 255 | |
|
|
256 | 256 | vmax = self.getFmax() * _lambda |
|
|
257 | 257 | |
|
|
258 | 258 | return vmax |
|
|
259 | 259 | |
|
|
260 | 260 | def get_ippSeconds(self): |
|
|
261 | 261 | ''' |
|
|
262 | 262 | ''' |
|
|
263 | 263 | return self.radarControllerHeaderObj.ippSeconds |
|
|
264 | 264 | |
|
|
265 | 265 | def set_ippSeconds(self, ippSeconds): |
|
|
266 | 266 | ''' |
|
|
267 | 267 | ''' |
|
|
268 | 268 | |
|
|
269 | 269 | self.radarControllerHeaderObj.ippSeconds = ippSeconds |
|
|
270 | 270 | |
|
|
271 | 271 | return |
|
|
272 | 272 | |
|
|
273 | 273 | def get_dtype(self): |
|
|
274 | 274 | ''' |
|
|
275 | 275 | ''' |
|
|
276 | 276 | return getNumpyDtype(self.datatype) |
|
|
277 | 277 | |
|
|
278 | 278 | def set_dtype(self, numpyDtype): |
|
|
279 | 279 | ''' |
|
|
280 | 280 | ''' |
|
|
281 | 281 | |
|
|
282 | 282 | self.datatype = getDataTypeCode(numpyDtype) |
|
|
283 | 283 | |
|
|
284 | 284 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
285 | 285 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
286 | 286 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|
287 | 287 | #noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
288 | 288 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
289 | 289 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
290 | 290 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
|
|
291 | 291 | dtype = property(get_dtype, set_dtype) |
|
|
292 | 292 | |
|
|
293 | 293 | class Voltage(JROData): |
|
|
294 | 294 | |
|
|
295 | 295 | #data es un numpy array de 2 dmensiones (canales, alturas) |
|
|
296 | 296 | data = None |
|
|
297 | 297 | |
|
|
298 | 298 | def __init__(self): |
|
|
299 | 299 | ''' |
|
|
300 | 300 | Constructor |
|
|
301 | 301 | ''' |
|
|
302 | 302 | |
|
|
303 | 303 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
304 | 304 | |
|
|
305 | 305 | self.systemHeaderObj = SystemHeader() |
|
|
306 | 306 | |
|
|
307 | 307 | self.type = "Voltage" |
|
|
308 | 308 | |
|
|
309 | 309 | self.data = None |
|
|
310 | 310 | |
|
|
311 | 311 | # self.dtype = None |
|
|
312 | 312 | |
|
|
313 | 313 | # self.nChannels = 0 |
|
|
314 | 314 | |
|
|
315 | 315 | # self.nHeights = 0 |
|
|
316 | 316 | |
|
|
317 | 317 | self.nProfiles = None |
|
|
318 | 318 | |
|
|
319 | 319 | self.heightList = None |
|
|
320 | 320 | |
|
|
321 | 321 | self.channelList = None |
|
|
322 | 322 | |
|
|
323 | 323 | # self.channelIndexList = None |
|
|
324 | 324 | |
|
|
325 | 325 | self.flagNoData = True |
|
|
326 | 326 | |
|
|
327 | 327 | self.flagTimeBlock = False |
|
|
328 | 328 | |
|
|
329 | 329 | self.utctime = None |
|
|
330 | 330 | |
|
|
331 | 331 | self.timeZone = None |
|
|
332 | 332 | |
|
|
333 | 333 | self.dstFlag = None |
|
|
334 | 334 | |
|
|
335 | 335 | self.errorCount = None |
|
|
336 | 336 | |
|
|
337 | 337 | self.nCohInt = None |
|
|
338 | 338 | |
|
|
339 | 339 | self.blocksize = None |
|
|
340 | 340 | |
|
|
341 | 341 | self.flagDecodeData = False #asumo q la data no esta decodificada |
|
|
342 | 342 | |
|
|
343 | 343 | self.flagDeflipData = False #asumo q la data no esta sin flip |
|
|
344 | 344 | |
|
|
345 | 345 | self.flagShiftFFT = False |
|
|
346 | 346 | |
|
|
347 | 347 | |
|
|
348 | 348 | def getNoisebyHildebrand(self): |
|
|
349 | 349 | """ |
|
|
350 | 350 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
351 | 351 | |
|
|
352 | 352 | Return: |
|
|
353 | 353 | noiselevel |
|
|
354 | 354 | """ |
|
|
355 | 355 | |
|
|
356 | 356 | for channel in range(self.nChannels): |
|
|
357 | 357 | daux = self.data_spc[channel,:,:] |
|
|
358 | 358 | self.noise[channel] = hildebrand_sekhon(daux, self.nCohInt) |
|
|
359 | 359 | |
|
|
360 | 360 | return self.noise |
|
|
361 | 361 | |
|
|
362 | 362 | def getNoise(self, type = 1): |
|
|
363 | 363 | |
|
|
364 | 364 | self.noise = numpy.zeros(self.nChannels) |
|
|
365 | 365 | |
|
|
366 | 366 | if type == 1: |
|
|
367 | 367 | noise = self.getNoisebyHildebrand() |
|
|
368 | 368 | |
|
|
369 | 369 | return 10*numpy.log10(noise) |
|
|
370 | 370 | |
|
|
371 | 371 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
372 | 372 | |
|
|
373 | 373 | class Spectra(JROData): |
|
|
374 | 374 | |
|
|
375 | 375 | #data es un numpy array de 2 dmensiones (canales, perfiles, alturas) |
|
|
376 | 376 | data_spc = None |
|
|
377 | 377 | |
|
|
378 | 378 | #data es un numpy array de 2 dmensiones (canales, pares, alturas) |
|
|
379 | 379 | data_cspc = None |
|
|
380 | 380 | |
|
|
381 | 381 | #data es un numpy array de 2 dmensiones (canales, alturas) |
|
|
382 | 382 | data_dc = None |
|
|
383 | 383 | |
|
|
384 | 384 | nFFTPoints = None |
|
|
385 | 385 | |
|
|
386 | 386 | # nPairs = None |
|
|
387 | 387 | |
|
|
388 | 388 | pairsList = None |
|
|
389 | 389 | |
|
|
390 | 390 | nIncohInt = None |
|
|
391 | 391 | |
|
|
392 | 392 | wavelength = None #Necesario para cacular el rango de velocidad desde la frecuencia |
|
|
393 | 393 | |
|
|
394 | 394 | nCohInt = None #se requiere para determinar el valor de timeInterval |
|
|
395 | 395 | |
|
|
396 | 396 | ippFactor = None |
|
|
397 | 397 | |
|
|
398 | 398 | def __init__(self): |
|
|
399 | 399 | ''' |
|
|
400 | 400 | Constructor |
|
|
401 | 401 | ''' |
|
|
402 | 402 | |
|
|
403 | 403 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
404 | 404 | |
|
|
405 | 405 | self.systemHeaderObj = SystemHeader() |
|
|
406 | 406 | |
|
|
407 | 407 | self.type = "Spectra" |
|
|
408 | 408 | |
|
|
409 | 409 | # self.data = None |
|
|
410 | 410 | |
|
|
411 | 411 | # self.dtype = None |
|
|
412 | 412 | |
|
|
413 | 413 | # self.nChannels = 0 |
|
|
414 | 414 | |
|
|
415 | 415 | # self.nHeights = 0 |
|
|
416 | 416 | |
|
|
417 | 417 | self.nProfiles = None |
|
|
418 | 418 | |
|
|
419 | 419 | self.heightList = None |
|
|
420 | 420 | |
|
|
421 | 421 | self.channelList = None |
|
|
422 | 422 | |
|
|
423 | 423 | # self.channelIndexList = None |
|
|
424 | 424 | |
|
|
425 | 425 | self.pairsList = None |
|
|
426 | 426 | |
|
|
427 | 427 | self.flagNoData = True |
|
|
428 | 428 | |
|
|
429 | 429 | self.flagTimeBlock = False |
|
|
430 | 430 | |
|
|
431 | 431 | self.utctime = None |
|
|
432 | 432 | |
|
|
433 | 433 | self.nCohInt = None |
|
|
434 | 434 | |
|
|
435 | 435 | self.nIncohInt = None |
|
|
436 | 436 | |
|
|
437 | 437 | self.blocksize = None |
|
|
438 | 438 | |
|
|
439 | 439 | self.nFFTPoints = None |
|
|
440 | 440 | |
|
|
441 | 441 | self.wavelength = None |
|
|
442 | 442 | |
|
|
443 | 443 | self.flagDecodeData = False #asumo q la data no esta decodificada |
|
|
444 | 444 | |
|
|
445 | 445 | self.flagDeflipData = False #asumo q la data no esta sin flip |
|
|
446 | 446 | |
|
|
447 | 447 | self.flagShiftFFT = False |
|
|
448 | 448 | |
|
|
449 | 449 | self.ippFactor = 1 |
|
|
450 | 450 | |
|
|
451 | 451 | #self.noise = None |
|
|
452 | 452 | |
|
|
453 | 453 | self.beacon_heiIndexList = [] |
|
|
454 | 454 | |
|
|
455 | 455 | self.noise_estimation = None |
|
|
456 | 456 | |
|
|
457 | 457 | |
|
|
458 | 458 | def getNoisebyHildebrand(self): |
|
|
459 | 459 | """ |
|
|
460 | 460 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
461 | 461 | |
|
|
462 | 462 | Return: |
|
|
463 | 463 | noiselevel |
|
|
464 | 464 | """ |
|
|
465 | 465 | |
|
|
466 | 466 | noise = numpy.zeros(self.nChannels) |
|
|
467 | 467 | for channel in range(self.nChannels): |
|
|
468 | 468 | daux = self.data_spc[channel,:,:] |
|
|
469 | 469 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
|
|
470 | 470 | |
|
|
471 | 471 | return noise |
|
|
472 | 472 | |
|
|
473 | 473 | def getNoise(self): |
|
|
474 | 474 | if self.noise_estimation != None: |
|
|
475 | 475 | return self.noise_estimation #this was estimated by getNoise Operation defined in jroproc_spectra.py |
|
|
476 | 476 | else: |
|
|
477 | 477 | noise = self.getNoisebyHildebrand() |
|
|
478 | 478 | return noise |
|
|
479 | 479 | |
|
|
480 | 480 | |
|
|
481 | 481 | def getFreqRange(self, extrapoints=0): |
|
|
482 | 482 | |
|
|
483 | 483 | deltafreq = self.getFmax() / (self.nFFTPoints*self.ippFactor) |
|
|
484 | 484 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 |
|
|
485 | 485 | |
|
|
486 | 486 | return freqrange |
|
|
487 | 487 | |
|
|
488 | 488 | def getVelRange(self, extrapoints=0): |
|
|
489 | 489 | |
|
|
490 | 490 | deltav = self.getVmax() / (self.nFFTPoints*self.ippFactor) |
|
|
491 | 491 | velrange = deltav*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltav/2 |
|
|
492 | 492 | |
|
|
493 | 493 | return velrange |
|
|
494 | 494 | |
|
|
495 | 495 | def getNPairs(self): |
|
|
496 | 496 | |
|
|
497 | 497 | return len(self.pairsList) |
|
|
498 | 498 | |
|
|
499 | 499 | def getPairsIndexList(self): |
|
|
500 | 500 | |
|
|
501 | 501 | return range(self.nPairs) |
|
|
502 | 502 | |
|
|
503 | 503 | def getNormFactor(self): |
|
|
504 | 504 | pwcode = 1 |
|
|
505 | 505 | if self.flagDecodeData: |
|
|
506 | 506 | pwcode = numpy.sum(self.code[0]**2) |
|
|
507 | 507 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
|
508 | 508 | normFactor = self.nProfiles*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
|
509 | 509 | |
|
|
510 | 510 | return normFactor |
|
|
511 | 511 | |
|
|
512 | 512 | def getFlagCspc(self): |
|
|
513 | 513 | |
|
|
514 | 514 | if self.data_cspc == None: |
|
|
515 | 515 | return True |
|
|
516 | 516 | |
|
|
517 | 517 | return False |
|
|
518 | 518 | |
|
|
519 | 519 | def getFlagDc(self): |
|
|
520 | 520 | |
|
|
521 | 521 | if self.data_dc == None: |
|
|
522 | 522 | return True |
|
|
523 | 523 | |
|
|
524 | 524 | return False |
|
|
525 | 525 | |
|
|
526 | 526 | nPairs = property(getNPairs, "I'm the 'nPairs' property.") |
|
|
527 | 527 | pairsIndexList = property(getPairsIndexList, "I'm the 'pairsIndexList' property.") |
|
|
528 | 528 | normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.") |
|
|
529 | 529 | flag_cspc = property(getFlagCspc) |
|
|
530 | 530 | flag_dc = property(getFlagDc) |
|
|
531 | 531 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
532 | 532 | |
|
|
533 | 533 | class SpectraHeis(Spectra): |
|
|
534 | 534 | |
|
|
535 | 535 | data_spc = None |
|
|
536 | 536 | |
|
|
537 | 537 | data_cspc = None |
|
|
538 | 538 | |
|
|
539 | 539 | data_dc = None |
|
|
540 | 540 | |
|
|
541 | 541 | nFFTPoints = None |
|
|
542 | 542 | |
|
|
543 | 543 | # nPairs = None |
|
|
544 | 544 | |
|
|
545 | 545 | pairsList = None |
|
|
546 | 546 | |
|
|
547 | 547 | nIncohInt = None |
|
|
548 | 548 | |
|
|
549 | 549 | def __init__(self): |
|
|
550 | 550 | |
|
|
551 | 551 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
552 | 552 | |
|
|
553 | 553 | self.systemHeaderObj = SystemHeader() |
|
|
554 | 554 | |
|
|
555 | 555 | self.type = "SpectraHeis" |
|
|
556 | 556 | |
|
|
557 | 557 | # self.dtype = None |
|
|
558 | 558 | |
|
|
559 | 559 | # self.nChannels = 0 |
|
|
560 | 560 | |
|
|
561 | 561 | # self.nHeights = 0 |
|
|
562 | 562 | |
|
|
563 | 563 | self.nProfiles = None |
|
|
564 | 564 | |
|
|
565 | 565 | self.heightList = None |
|
|
566 | 566 | |
|
|
567 | 567 | self.channelList = None |
|
|
568 | 568 | |
|
|
569 | 569 | # self.channelIndexList = None |
|
|
570 | 570 | |
|
|
571 | 571 | self.flagNoData = True |
|
|
572 | 572 | |
|
|
573 | 573 | self.flagTimeBlock = False |
|
|
574 | 574 | |
|
|
575 | 575 | # self.nPairs = 0 |
|
|
576 | 576 | |
|
|
577 | 577 | self.utctime = None |
|
|
578 | 578 | |
|
|
579 | 579 | self.blocksize = None |
|
|
580 | 580 | |
|
|
581 | 581 | class Fits: |
|
|
582 | 582 | |
|
|
583 | 583 | heightList = None |
|
|
584 | 584 | |
|
|
585 | 585 | channelList = None |
|
|
586 | 586 | |
|
|
587 | 587 | flagNoData = True |
|
|
588 | 588 | |
|
|
589 | 589 | flagTimeBlock = False |
|
|
590 | 590 | |
|
|
591 | 591 | useLocalTime = False |
|
|
592 | 592 | |
|
|
593 | 593 | utctime = None |
|
|
594 | 594 | |
|
|
595 | 595 | timeZone = None |
|
|
596 | 596 | |
|
|
597 | 597 | # ippSeconds = None |
|
|
598 | 598 | |
|
|
599 | 599 | timeInterval = None |
|
|
600 | 600 | |
|
|
601 | 601 | nCohInt = None |
|
|
602 | 602 | |
|
|
603 | 603 | nIncohInt = None |
|
|
604 | 604 | |
|
|
605 | 605 | noise = None |
|
|
606 | 606 | |
|
|
607 | 607 | windowOfFilter = 1 |
|
|
608 | 608 | |
|
|
609 | 609 | #Speed of ligth |
|
|
610 | 610 | C = 3e8 |
|
|
611 | 611 | |
|
|
612 | 612 | frequency = 49.92e6 |
|
|
613 | 613 | |
|
|
614 | 614 | realtime = False |
|
|
615 | 615 | |
|
|
616 | 616 | |
|
|
617 | 617 | def __init__(self): |
|
|
618 | 618 | |
|
|
619 | 619 | self.type = "Fits" |
|
|
620 | 620 | |
|
|
621 | 621 | self.nProfiles = None |
|
|
622 | 622 | |
|
|
623 | 623 | self.heightList = None |
|
|
624 | 624 | |
|
|
625 | 625 | self.channelList = None |
|
|
626 | 626 | |
|
|
627 | 627 | # self.channelIndexList = None |
|
|
628 | 628 | |
|
|
629 | 629 | self.flagNoData = True |
|
|
630 | 630 | |
|
|
631 | 631 | self.utctime = None |
|
|
632 | 632 | |
|
|
633 | 633 | self.nCohInt = None |
|
|
634 | 634 | |
|
|
635 | 635 | self.nIncohInt = None |
|
|
636 | 636 | |
|
|
637 | 637 | self.useLocalTime = True |
|
|
638 | 638 | |
|
|
639 | 639 | # self.utctime = None |
|
|
640 | 640 | # self.timeZone = None |
|
|
641 | 641 | # self.ltctime = None |
|
|
642 | 642 | # self.timeInterval = None |
|
|
643 | 643 | # self.header = None |
|
|
644 | 644 | # self.data_header = None |
|
|
645 | 645 | # self.data = None |
|
|
646 | 646 | # self.datatime = None |
|
|
647 | 647 | # self.flagNoData = False |
|
|
648 | 648 | # self.expName = '' |
|
|
649 | 649 | # self.nChannels = None |
|
|
650 | 650 | # self.nSamples = None |
|
|
651 | 651 | # self.dataBlocksPerFile = None |
|
|
652 | 652 | # self.comments = '' |
|
|
653 | 653 | # |
|
|
654 | 654 | |
|
|
655 | 655 | |
|
|
656 | 656 | def getltctime(self): |
|
|
657 | 657 | |
|
|
658 | 658 | if self.useLocalTime: |
|
|
659 | 659 | return self.utctime - self.timeZone*60 |
|
|
660 | 660 | |
|
|
661 | 661 | return self.utctime |
|
|
662 | 662 | |
|
|
663 | 663 | def getDatatime(self): |
|
|
664 | 664 | |
|
|
665 | 665 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
666 | 666 | return datatime |
|
|
667 | 667 | |
|
|
668 | 668 | def getTimeRange(self): |
|
|
669 | 669 | |
|
|
670 | 670 | datatime = [] |
|
|
671 | 671 | |
|
|
672 | 672 | datatime.append(self.ltctime) |
|
|
673 | 673 | datatime.append(self.ltctime + self.timeInterval) |
|
|
674 | 674 | |
|
|
675 | 675 | datatime = numpy.array(datatime) |
|
|
676 | 676 | |
|
|
677 | 677 | return datatime |
|
|
678 | 678 | |
|
|
679 | 679 | def getHeiRange(self): |
|
|
680 | 680 | |
|
|
681 | 681 | heis = self.heightList |
|
|
682 | 682 | |
|
|
683 | 683 | return heis |
|
|
684 | 684 | |
|
|
685 | 685 | def isEmpty(self): |
|
|
686 | 686 | |
|
|
687 | 687 | return self.flagNoData |
|
|
688 | 688 | |
|
|
689 | 689 | def getNHeights(self): |
|
|
690 | 690 | |
|
|
691 | 691 | return len(self.heightList) |
|
|
692 | 692 | |
|
|
693 | 693 | def getNChannels(self): |
|
|
694 | 694 | |
|
|
695 | 695 | return len(self.channelList) |
|
|
696 | 696 | |
|
|
697 | 697 | def getChannelIndexList(self): |
|
|
698 | 698 | |
|
|
699 | 699 | return range(self.nChannels) |
|
|
700 | 700 | |
|
|
701 | 701 | def getNoise(self, type = 1): |
|
|
702 | 702 | |
|
|
703 | 703 | self.noise = numpy.zeros(self.nChannels) |
|
|
704 | 704 | |
|
|
705 | 705 | if type == 1: |
|
|
706 | 706 | noise = self.getNoisebyHildebrand() |
|
|
707 | 707 | |
|
|
708 | 708 | if type == 2: |
|
|
709 | 709 | noise = self.getNoisebySort() |
|
|
710 | 710 | |
|
|
711 | 711 | if type == 3: |
|
|
712 | 712 | noise = self.getNoisebyWindow() |
|
|
713 | 713 | |
|
|
714 | 714 | return noise |
|
|
715 | 715 | |
|
|
716 | 716 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
717 | 717 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|
718 | 718 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
719 | 719 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
720 | 720 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
721 | 721 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
722 | 722 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
723 | 723 | |
|
|
724 | 724 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
725 | 725 | |
|
|
726 | class AMISR: | |
|
|
727 | def __init__(self): | |
|
|
728 | self.flagNoData = True | |
|
|
729 | self.data = None | |
|
|
730 | self.utctime = None | |
|
|
731 | self.type = "AMISR" | |
|
|
732 | ||
|
|
733 | #propiedades para compatibilidad con Voltages | |
|
|
734 | self.timeZone = 300#timezone like jroheader, difference in minutes between UTC and localtime | |
|
|
735 | self.dstFlag = 0#self.dataIn.dstFlag | |
|
|
736 | self.errorCount = 0#self.dataIn.errorCount | |
|
|
737 | self.useLocalTime = True#self.dataIn.useLocalTime | |
|
|
738 | ||
|
|
739 | self.radarControllerHeaderObj = None#self.dataIn.radarControllerHeaderObj.copy() | |
|
|
740 | self.systemHeaderObj = None#self.dataIn.systemHeaderObj.copy() | |
|
|
741 | self.channelList = [0]#self.dataIn.channelList esto solo aplica para el caso de AMISR | |
|
|
742 | self.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
|
|
743 | ||
|
|
744 | self.flagTimeBlock = None#self.dataIn.flagTimeBlock | |
|
|
745 | #self.utctime = #self.firstdatatime | |
|
|
746 | self.flagDecodeData = None#self.dataIn.flagDecodeData #asumo q la data esta decodificada | |
|
|
747 | self.flagDeflipData = None#self.dataIn.flagDeflipData #asumo q la data esta sin flip | |
|
|
748 | ||
|
|
749 | self.nCohInt = 1#self.dataIn.nCohInt | |
|
|
750 | self.nIncohInt = 1 | |
|
|
751 | self.ippSeconds = None#self.dataIn.ippSeconds, segun el filename/Setup/Tufile | |
|
|
752 | self.windowOfFilter = None#self.dataIn.windowOfFilter | |
|
|
753 | ||
|
|
754 | self.timeInterval = None#self.dataIn.timeInterval*self.dataOut.nFFTPoints*self.dataOut.nIncohInt | |
|
|
755 | self.frequency = None#self.dataIn.frequency | |
|
|
756 | self.realtime = 0#self.dataIn.realtime | |
|
|
757 | ||
|
|
758 | #actualizar en la lectura de datos | |
|
|
759 | self.heightList = None#self.dataIn.heightList | |
|
|
760 | self.nProfiles = None#Number of samples or nFFTPoints | |
|
|
761 | self.nRecords = None | |
|
|
762 | self.nBeams = None | |
|
|
763 | self.nBaud = None#self.dataIn.nBaud | |
|
|
764 | self.nCode = None#self.dataIn.nCode | |
|
|
765 | self.code = None#self.dataIn.code | |
|
|
766 | ||
|
|
767 | #consideracion para los Beams | |
|
|
768 | self.beamCodeDict = None | |
|
|
769 | self.beamRangeDict = None | |
|
|
770 | ||
|
|
771 | def copy(self, inputObj=None): | |
|
|
772 | ||
|
|
773 | if inputObj == None: | |
|
|
774 | return copy.deepcopy(self) | |
|
|
775 | ||
|
|
776 | for key in inputObj.__dict__.keys(): | |
|
|
777 | self.__dict__[key] = inputObj.__dict__[key] | |
|
|
778 | ||
|
|
779 | ||
|
|
780 | def isEmpty(self): | |
|
|
781 | ||
|
|
782 | return self.flagNoData No newline at end of file | |
| @@ -1,1334 +1,1334 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | ''' |
|
|
4 | 4 | import os |
|
|
5 | 5 | import sys |
|
|
6 | 6 | import glob |
|
|
7 | 7 | import time |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | import fnmatch |
|
|
10 | 10 | import time, datetime |
|
|
11 | import h5py | |
|
|
11 | #import h5py | |
|
|
12 | 12 | import traceback |
|
|
13 | 13 | |
|
|
14 | 14 | #try: |
|
|
15 | 15 | # import pyfits |
|
|
16 | 16 | #except: |
|
|
17 | 17 | # print "pyfits module has not been imported, it should be installed to save files in fits format" |
|
|
18 | 18 | |
|
|
19 | 19 | #from jrodata import * |
|
|
20 | 20 | #from jroheaderIO import * |
|
|
21 | 21 | #from jroprocessing import * |
|
|
22 | 22 | |
|
|
23 | 23 | #import re |
|
|
24 | 24 | #from xml.etree.ElementTree import Element, SubElement, ElementTree |
|
|
25 | 25 | |
|
|
26 | 26 | |
|
|
27 | 27 | LOCALTIME = True #-18000 |
|
|
28 | 28 | |
|
|
29 | 29 | from model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
30 | 30 | |
|
|
31 | 31 | def isNumber(str): |
|
|
32 | 32 | """ |
|
|
33 | 33 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
34 | 34 | |
|
|
35 | 35 | Excepciones: |
|
|
36 | 36 | Si un determinado string no puede ser convertido a numero |
|
|
37 | 37 | Input: |
|
|
38 | 38 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
39 | 39 | |
|
|
40 | 40 | Return: |
|
|
41 | 41 | True : si el string es uno numerico |
|
|
42 | 42 | False : no es un string numerico |
|
|
43 | 43 | """ |
|
|
44 | 44 | try: |
|
|
45 | 45 | float( str ) |
|
|
46 | 46 | return True |
|
|
47 | 47 | except: |
|
|
48 | 48 | return False |
|
|
49 | 49 | |
|
|
50 | 50 | def isThisFileinRange(filename, startUTSeconds, endUTSeconds): |
|
|
51 | 51 | """ |
|
|
52 | 52 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
53 | 53 | |
|
|
54 | 54 | Inputs: |
|
|
55 | 55 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
56 | 56 | |
|
|
57 | 57 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
58 | 58 | segundos contados desde 01/01/1970. |
|
|
59 | 59 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
60 | 60 | segundos contados desde 01/01/1970. |
|
|
61 | 61 | |
|
|
62 | 62 | Return: |
|
|
63 | 63 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
64 | 64 | fecha especificado, de lo contrario retorna False. |
|
|
65 | 65 | |
|
|
66 | 66 | Excepciones: |
|
|
67 | 67 | Si el archivo no existe o no puede ser abierto |
|
|
68 | 68 | Si la cabecera no puede ser leida. |
|
|
69 | 69 | |
|
|
70 | 70 | """ |
|
|
71 | 71 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
72 | 72 | |
|
|
73 | 73 | try: |
|
|
74 | 74 | fp = open(filename,'rb') |
|
|
75 | 75 | except IOError: |
|
|
76 | 76 | traceback.print_exc() |
|
|
77 | 77 | raise IOError, "The file %s can't be opened" %(filename) |
|
|
78 | 78 | |
|
|
79 | 79 | sts = basicHeaderObj.read(fp) |
|
|
80 | 80 | fp.close() |
|
|
81 | 81 | |
|
|
82 | 82 | if not(sts): |
|
|
83 | 83 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|
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 | 347 | def __init__(self): |
|
|
348 | 348 | |
|
|
349 | 349 | raise ValueError, "Not implemented" |
|
|
350 | 350 | |
|
|
351 | 351 | def run(self): |
|
|
352 | 352 | |
|
|
353 | 353 | raise ValueError, "Not implemented" |
|
|
354 | 354 | |
|
|
355 | 355 | class JRODataReader(JRODataIO): |
|
|
356 | 356 | |
|
|
357 | 357 | nReadBlocks = 0 |
|
|
358 | 358 | |
|
|
359 | 359 | delay = 10 #number of seconds waiting a new file |
|
|
360 | 360 | |
|
|
361 | 361 | nTries = 3 #quantity tries |
|
|
362 | 362 | |
|
|
363 | 363 | nFiles = 3 #number of files for searching |
|
|
364 | 364 | |
|
|
365 | 365 | path = None |
|
|
366 | 366 | |
|
|
367 | 367 | foldercounter = 0 |
|
|
368 | 368 | |
|
|
369 | 369 | flagNoMoreFiles = 0 |
|
|
370 | 370 | |
|
|
371 | 371 | datetimeList = [] |
|
|
372 | 372 | |
|
|
373 | 373 | __isFirstTimeOnline = 1 |
|
|
374 | 374 | |
|
|
375 | 375 | __printInfo = True |
|
|
376 | 376 | |
|
|
377 | 377 | profileIndex = None |
|
|
378 | 378 | |
|
|
379 | 379 | def __init__(self): |
|
|
380 | 380 | |
|
|
381 | 381 | """ |
|
|
382 | 382 | |
|
|
383 | 383 | """ |
|
|
384 | 384 | |
|
|
385 | 385 | raise ValueError, "This method has not been implemented" |
|
|
386 | 386 | |
|
|
387 | 387 | |
|
|
388 | 388 | def createObjByDefault(self): |
|
|
389 | 389 | """ |
|
|
390 | 390 | |
|
|
391 | 391 | """ |
|
|
392 | 392 | raise ValueError, "This method has not been implemented" |
|
|
393 | 393 | |
|
|
394 | 394 | def getBlockDimension(self): |
|
|
395 | 395 | |
|
|
396 | 396 | raise ValueError, "No implemented" |
|
|
397 | 397 | |
|
|
398 | 398 | def __searchFilesOffLine(self, |
|
|
399 | 399 | path, |
|
|
400 | 400 | startDate, |
|
|
401 | 401 | endDate, |
|
|
402 | 402 | startTime=datetime.time(0,0,0), |
|
|
403 | 403 | endTime=datetime.time(23,59,59), |
|
|
404 | 404 | set=None, |
|
|
405 | 405 | expLabel='', |
|
|
406 | 406 | ext='.r', |
|
|
407 | 407 | walk=True): |
|
|
408 | 408 | |
|
|
409 | 409 | pathList = [] |
|
|
410 | 410 | |
|
|
411 | 411 | if not walk: |
|
|
412 | 412 | #pathList.append(path) |
|
|
413 | 413 | multi_path = path.split(',') |
|
|
414 | 414 | for single_path in multi_path: |
|
|
415 | 415 | pathList.append(single_path) |
|
|
416 | 416 | |
|
|
417 | 417 | else: |
|
|
418 | 418 | #dirList = [] |
|
|
419 | 419 | multi_path = path.split(',') |
|
|
420 | 420 | for single_path in multi_path: |
|
|
421 | 421 | dirList = [] |
|
|
422 | 422 | for thisPath in os.listdir(single_path): |
|
|
423 | 423 | if not os.path.isdir(os.path.join(single_path,thisPath)): |
|
|
424 | 424 | continue |
|
|
425 | 425 | if not isDoyFolder(thisPath): |
|
|
426 | 426 | continue |
|
|
427 | 427 | |
|
|
428 | 428 | dirList.append(thisPath) |
|
|
429 | 429 | |
|
|
430 | 430 | if not(dirList): |
|
|
431 | 431 | return None, None |
|
|
432 | 432 | |
|
|
433 | 433 | thisDate = startDate |
|
|
434 | 434 | |
|
|
435 | 435 | while(thisDate <= endDate): |
|
|
436 | 436 | year = thisDate.timetuple().tm_year |
|
|
437 | 437 | doy = thisDate.timetuple().tm_yday |
|
|
438 | 438 | |
|
|
439 | 439 | matchlist = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy) + '*') |
|
|
440 | 440 | if len(matchlist) == 0: |
|
|
441 | 441 | thisDate += datetime.timedelta(1) |
|
|
442 | 442 | continue |
|
|
443 | 443 | for match in matchlist: |
|
|
444 | 444 | pathList.append(os.path.join(single_path,match,expLabel)) |
|
|
445 | 445 | |
|
|
446 | 446 | thisDate += datetime.timedelta(1) |
|
|
447 | 447 | |
|
|
448 | 448 | if pathList == []: |
|
|
449 | 449 | print "Any folder was found for the date range: %s-%s" %(startDate, endDate) |
|
|
450 | 450 | return None, None |
|
|
451 | 451 | |
|
|
452 | 452 | print "%d folder(s) was(were) found for the date range: %s - %s" %(len(pathList), startDate, endDate) |
|
|
453 | 453 | |
|
|
454 | 454 | filenameList = [] |
|
|
455 | 455 | datetimeList = [] |
|
|
456 | 456 | pathDict = {} |
|
|
457 | 457 | filenameList_to_sort = [] |
|
|
458 | 458 | |
|
|
459 | 459 | for i in range(len(pathList)): |
|
|
460 | 460 | |
|
|
461 | 461 | thisPath = pathList[i] |
|
|
462 | 462 | |
|
|
463 | 463 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
464 | 464 | fileList.sort() |
|
|
465 | 465 | pathDict.setdefault(fileList[0]) |
|
|
466 | 466 | pathDict[fileList[0]] = i |
|
|
467 | 467 | filenameList_to_sort.append(fileList[0]) |
|
|
468 | 468 | |
|
|
469 | 469 | filenameList_to_sort.sort() |
|
|
470 | 470 | |
|
|
471 | 471 | for file in filenameList_to_sort: |
|
|
472 | 472 | thisPath = pathList[pathDict[file]] |
|
|
473 | 473 | |
|
|
474 | 474 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
475 | 475 | fileList.sort() |
|
|
476 | 476 | |
|
|
477 | 477 | for file in fileList: |
|
|
478 | 478 | |
|
|
479 | 479 | filename = os.path.join(thisPath,file) |
|
|
480 | 480 | thisDatetime = isFileinThisTime(filename, startTime, endTime) |
|
|
481 | 481 | |
|
|
482 | 482 | if not(thisDatetime): |
|
|
483 | 483 | continue |
|
|
484 | 484 | |
|
|
485 | 485 | filenameList.append(filename) |
|
|
486 | 486 | datetimeList.append(thisDatetime) |
|
|
487 | 487 | |
|
|
488 | 488 | if not(filenameList): |
|
|
489 | 489 | print "Any file was found for the time range %s - %s" %(startTime, endTime) |
|
|
490 | 490 | return None, None |
|
|
491 | 491 | |
|
|
492 | 492 | print "%d file(s) was(were) found for the time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
|
493 | 493 | |
|
|
494 | 494 | |
|
|
495 | 495 | for i in range(len(filenameList)): |
|
|
496 | 496 | print "%s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|
497 | 497 | |
|
|
498 | 498 | self.filenameList = filenameList |
|
|
499 | 499 | self.datetimeList = datetimeList |
|
|
500 | 500 | |
|
|
501 | 501 | return pathList, filenameList |
|
|
502 | 502 | |
|
|
503 | 503 | def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None): |
|
|
504 | 504 | |
|
|
505 | 505 | """ |
|
|
506 | 506 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
507 | 507 | devuelve el archivo encontrado ademas de otros datos. |
|
|
508 | 508 | |
|
|
509 | 509 | Input: |
|
|
510 | 510 | path : carpeta donde estan contenidos los files que contiene data |
|
|
511 | 511 | |
|
|
512 | 512 | expLabel : Nombre del subexperimento (subfolder) |
|
|
513 | 513 | |
|
|
514 | 514 | ext : extension de los files |
|
|
515 | 515 | |
|
|
516 | 516 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
517 | 517 | |
|
|
518 | 518 | Return: |
|
|
519 | 519 | directory : eL directorio donde esta el file encontrado |
|
|
520 | 520 | filename : el ultimo file de una determinada carpeta |
|
|
521 | 521 | year : el anho |
|
|
522 | 522 | doy : el numero de dia del anho |
|
|
523 | 523 | set : el set del archivo |
|
|
524 | 524 | |
|
|
525 | 525 | |
|
|
526 | 526 | """ |
|
|
527 | 527 | dirList = [] |
|
|
528 | 528 | |
|
|
529 | 529 | if not walk: |
|
|
530 | 530 | fullpath = path |
|
|
531 | 531 | foldercounter = 0 |
|
|
532 | 532 | else: |
|
|
533 | 533 | #Filtra solo los directorios |
|
|
534 | 534 | for thisPath in os.listdir(path): |
|
|
535 | 535 | if not os.path.isdir(os.path.join(path,thisPath)): |
|
|
536 | 536 | continue |
|
|
537 | 537 | if not isDoyFolder(thisPath): |
|
|
538 | 538 | continue |
|
|
539 | 539 | |
|
|
540 | 540 | dirList.append(thisPath) |
|
|
541 | 541 | |
|
|
542 | 542 | if not(dirList): |
|
|
543 | 543 | return None, None, None, None, None, None |
|
|
544 | 544 | |
|
|
545 | 545 | dirList = sorted( dirList, key=str.lower ) |
|
|
546 | 546 | |
|
|
547 | 547 | doypath = dirList[-1] |
|
|
548 | 548 | foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0 |
|
|
549 | 549 | fullpath = os.path.join(path, doypath, expLabel) |
|
|
550 | 550 | |
|
|
551 | 551 | |
|
|
552 | 552 | print "%s folder was found: " %(fullpath ) |
|
|
553 | 553 | |
|
|
554 | 554 | if set == None: |
|
|
555 | 555 | filename = getlastFileFromPath(fullpath, ext) |
|
|
556 | 556 | else: |
|
|
557 | 557 | filename = getFileFromSet(fullpath, ext, set) |
|
|
558 | 558 | |
|
|
559 | 559 | if not(filename): |
|
|
560 | 560 | return None, None, None, None, None, None |
|
|
561 | 561 | |
|
|
562 | 562 | print "%s file was found" %(filename) |
|
|
563 | 563 | |
|
|
564 | 564 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
|
565 | 565 | return None, None, None, None, None, None |
|
|
566 | 566 | |
|
|
567 | 567 | year = int( filename[1:5] ) |
|
|
568 | 568 | doy = int( filename[5:8] ) |
|
|
569 | 569 | set = int( filename[8:11] ) |
|
|
570 | 570 | |
|
|
571 | 571 | return fullpath, foldercounter, filename, year, doy, set |
|
|
572 | 572 | |
|
|
573 | 573 | def __setNextFileOffline(self): |
|
|
574 | 574 | |
|
|
575 | 575 | idFile = self.fileIndex |
|
|
576 | 576 | |
|
|
577 | 577 | while (True): |
|
|
578 | 578 | idFile += 1 |
|
|
579 | 579 | if not(idFile < len(self.filenameList)): |
|
|
580 | 580 | self.flagNoMoreFiles = 1 |
|
|
581 | 581 | print "No more Files" |
|
|
582 | 582 | return 0 |
|
|
583 | 583 | |
|
|
584 | 584 | filename = self.filenameList[idFile] |
|
|
585 | 585 | |
|
|
586 | 586 | if not(self.__verifyFile(filename)): |
|
|
587 | 587 | continue |
|
|
588 | 588 | |
|
|
589 | 589 | fileSize = os.path.getsize(filename) |
|
|
590 | 590 | fp = open(filename,'rb') |
|
|
591 | 591 | break |
|
|
592 | 592 | |
|
|
593 | 593 | self.flagIsNewFile = 1 |
|
|
594 | 594 | self.fileIndex = idFile |
|
|
595 | 595 | self.filename = filename |
|
|
596 | 596 | self.fileSize = fileSize |
|
|
597 | 597 | self.fp = fp |
|
|
598 | 598 | |
|
|
599 | 599 | print "Setting the file: %s"%self.filename |
|
|
600 | 600 | |
|
|
601 | 601 | return 1 |
|
|
602 | 602 | |
|
|
603 | 603 | def __setNextFileOnline(self): |
|
|
604 | 604 | """ |
|
|
605 | 605 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
606 | 606 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
607 | 607 | siguientes. |
|
|
608 | 608 | |
|
|
609 | 609 | Affected: |
|
|
610 | 610 | self.flagIsNewFile |
|
|
611 | 611 | self.filename |
|
|
612 | 612 | self.fileSize |
|
|
613 | 613 | self.fp |
|
|
614 | 614 | self.set |
|
|
615 | 615 | self.flagNoMoreFiles |
|
|
616 | 616 | |
|
|
617 | 617 | Return: |
|
|
618 | 618 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
619 | 619 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
620 | 620 | |
|
|
621 | 621 | Excepciones: |
|
|
622 | 622 | Si un determinado file no puede ser abierto |
|
|
623 | 623 | """ |
|
|
624 | 624 | nFiles = 0 |
|
|
625 | 625 | fileOk_flag = False |
|
|
626 | 626 | firstTime_flag = True |
|
|
627 | 627 | |
|
|
628 | 628 | self.set += 1 |
|
|
629 | 629 | |
|
|
630 | 630 | if self.set > 999: |
|
|
631 | 631 | self.set = 0 |
|
|
632 | 632 | self.foldercounter += 1 |
|
|
633 | 633 | |
|
|
634 | 634 | #busca el 1er file disponible |
|
|
635 | 635 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
636 | 636 | if fullfilename: |
|
|
637 | 637 | if self.__verifyFile(fullfilename, False): |
|
|
638 | 638 | fileOk_flag = True |
|
|
639 | 639 | |
|
|
640 | 640 | #si no encuentra un file entonces espera y vuelve a buscar |
|
|
641 | 641 | if not(fileOk_flag): |
|
|
642 | 642 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
|
643 | 643 | |
|
|
644 | 644 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
|
645 | 645 | tries = self.nTries |
|
|
646 | 646 | else: |
|
|
647 | 647 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
|
648 | 648 | |
|
|
649 | 649 | for nTries in range( tries ): |
|
|
650 | 650 | if firstTime_flag: |
|
|
651 | 651 | print "\tWaiting %0.2f sec for the file \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
|
652 | 652 | time.sleep( self.delay ) |
|
|
653 | 653 | else: |
|
|
654 | 654 | print "\tSearching next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|
655 | 655 | |
|
|
656 | 656 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
657 | 657 | if fullfilename: |
|
|
658 | 658 | if self.__verifyFile(fullfilename): |
|
|
659 | 659 | fileOk_flag = True |
|
|
660 | 660 | break |
|
|
661 | 661 | |
|
|
662 | 662 | if fileOk_flag: |
|
|
663 | 663 | break |
|
|
664 | 664 | |
|
|
665 | 665 | firstTime_flag = False |
|
|
666 | 666 | |
|
|
667 | 667 | print "\tSkipping the file \"%s\" due to this file doesn't exist" % filename |
|
|
668 | 668 | self.set += 1 |
|
|
669 | 669 | |
|
|
670 | 670 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
671 | 671 | self.set = 0 |
|
|
672 | 672 | self.doy += 1 |
|
|
673 | 673 | self.foldercounter = 0 |
|
|
674 | 674 | |
|
|
675 | 675 | if fileOk_flag: |
|
|
676 | 676 | self.fileSize = os.path.getsize( fullfilename ) |
|
|
677 | 677 | self.filename = fullfilename |
|
|
678 | 678 | self.flagIsNewFile = 1 |
|
|
679 | 679 | if self.fp != None: self.fp.close() |
|
|
680 | 680 | self.fp = open(fullfilename, 'rb') |
|
|
681 | 681 | self.flagNoMoreFiles = 0 |
|
|
682 | 682 | print 'Setting the file: %s' % fullfilename |
|
|
683 | 683 | else: |
|
|
684 | 684 | self.fileSize = 0 |
|
|
685 | 685 | self.filename = None |
|
|
686 | 686 | self.flagIsNewFile = 0 |
|
|
687 | 687 | self.fp = None |
|
|
688 | 688 | self.flagNoMoreFiles = 1 |
|
|
689 | 689 | print 'No more Files' |
|
|
690 | 690 | |
|
|
691 | 691 | return fileOk_flag |
|
|
692 | 692 | |
|
|
693 | 693 | def setNextFile(self): |
|
|
694 | 694 | if self.fp != None: |
|
|
695 | 695 | self.fp.close() |
|
|
696 | 696 | |
|
|
697 | 697 | if self.online: |
|
|
698 | 698 | newFile = self.__setNextFileOnline() |
|
|
699 | 699 | else: |
|
|
700 | 700 | newFile = self.__setNextFileOffline() |
|
|
701 | 701 | |
|
|
702 | 702 | if not(newFile): |
|
|
703 | 703 | return 0 |
|
|
704 | 704 | |
|
|
705 | 705 | self.__readFirstHeader() |
|
|
706 | 706 | self.nReadBlocks = 0 |
|
|
707 | 707 | return 1 |
|
|
708 | 708 | |
|
|
709 | 709 | def __waitNewBlock(self): |
|
|
710 | 710 | """ |
|
|
711 | 711 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
712 | 712 | |
|
|
713 | 713 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
714 | 714 | """ |
|
|
715 | 715 | if not self.online: |
|
|
716 | 716 | return 0 |
|
|
717 | 717 | |
|
|
718 | 718 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
719 | 719 | return 0 |
|
|
720 | 720 | |
|
|
721 | 721 | currentPointer = self.fp.tell() |
|
|
722 | 722 | |
|
|
723 | 723 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
724 | 724 | |
|
|
725 | 725 | for nTries in range( self.nTries ): |
|
|
726 | 726 | |
|
|
727 | 727 | self.fp.close() |
|
|
728 | 728 | self.fp = open( self.filename, 'rb' ) |
|
|
729 | 729 | self.fp.seek( currentPointer ) |
|
|
730 | 730 | |
|
|
731 | 731 | self.fileSize = os.path.getsize( self.filename ) |
|
|
732 | 732 | currentSize = self.fileSize - currentPointer |
|
|
733 | 733 | |
|
|
734 | 734 | if ( currentSize >= neededSize ): |
|
|
735 | 735 | self.basicHeaderObj.read(self.fp) |
|
|
736 | 736 | return 1 |
|
|
737 | 737 | |
|
|
738 | 738 | if self.fileSize == self.fileSizeByHeader: |
|
|
739 | 739 | # self.flagEoF = True |
|
|
740 | 740 | return 0 |
|
|
741 | 741 | |
|
|
742 | 742 | print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
743 | 743 | time.sleep( self.delay ) |
|
|
744 | 744 | |
|
|
745 | 745 | |
|
|
746 | 746 | return 0 |
|
|
747 | 747 | |
|
|
748 | 748 | def waitDataBlock(self,pointer_location): |
|
|
749 | 749 | |
|
|
750 | 750 | currentPointer = pointer_location |
|
|
751 | 751 | |
|
|
752 | 752 | neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize |
|
|
753 | 753 | |
|
|
754 | 754 | for nTries in range( self.nTries ): |
|
|
755 | 755 | self.fp.close() |
|
|
756 | 756 | self.fp = open( self.filename, 'rb' ) |
|
|
757 | 757 | self.fp.seek( currentPointer ) |
|
|
758 | 758 | |
|
|
759 | 759 | self.fileSize = os.path.getsize( self.filename ) |
|
|
760 | 760 | currentSize = self.fileSize - currentPointer |
|
|
761 | 761 | |
|
|
762 | 762 | if ( currentSize >= neededSize ): |
|
|
763 | 763 | return 1 |
|
|
764 | 764 | |
|
|
765 | 765 | print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
766 | 766 | time.sleep( self.delay ) |
|
|
767 | 767 | |
|
|
768 | 768 | return 0 |
|
|
769 | 769 | |
|
|
770 | 770 | def __jumpToLastBlock(self): |
|
|
771 | 771 | |
|
|
772 | 772 | if not(self.__isFirstTimeOnline): |
|
|
773 | 773 | return |
|
|
774 | 774 | |
|
|
775 | 775 | csize = self.fileSize - self.fp.tell() |
|
|
776 | 776 | blocksize = self.processingHeaderObj.blockSize |
|
|
777 | 777 | |
|
|
778 | 778 | #salta el primer bloque de datos |
|
|
779 | 779 | if csize > self.processingHeaderObj.blockSize: |
|
|
780 | 780 | self.fp.seek(self.fp.tell() + blocksize) |
|
|
781 | 781 | else: |
|
|
782 | 782 | return |
|
|
783 | 783 | |
|
|
784 | 784 | csize = self.fileSize - self.fp.tell() |
|
|
785 | 785 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
786 | 786 | while True: |
|
|
787 | 787 | |
|
|
788 | 788 | if self.fp.tell()<self.fileSize: |
|
|
789 | 789 | self.fp.seek(self.fp.tell() + neededsize) |
|
|
790 | 790 | else: |
|
|
791 | 791 | self.fp.seek(self.fp.tell() - neededsize) |
|
|
792 | 792 | break |
|
|
793 | 793 | |
|
|
794 | 794 | # csize = self.fileSize - self.fp.tell() |
|
|
795 | 795 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
796 | 796 | # factor = int(csize/neededsize) |
|
|
797 | 797 | # if factor > 0: |
|
|
798 | 798 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
|
799 | 799 | |
|
|
800 | 800 | self.flagIsNewFile = 0 |
|
|
801 | 801 | self.__isFirstTimeOnline = 0 |
|
|
802 | 802 | |
|
|
803 | 803 | def __setNewBlock(self): |
|
|
804 | 804 | |
|
|
805 | 805 | if self.fp == None: |
|
|
806 | 806 | return 0 |
|
|
807 | 807 | |
|
|
808 | 808 | if self.online: |
|
|
809 | 809 | self.__jumpToLastBlock() |
|
|
810 | 810 | |
|
|
811 | 811 | if self.flagIsNewFile: |
|
|
812 | 812 | return 1 |
|
|
813 | 813 | |
|
|
814 | 814 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
815 | 815 | currentSize = self.fileSize - self.fp.tell() |
|
|
816 | 816 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
817 | 817 | |
|
|
818 | 818 | if (currentSize >= neededSize): |
|
|
819 | 819 | self.basicHeaderObj.read(self.fp) |
|
|
820 | 820 | return 1 |
|
|
821 | 821 | |
|
|
822 | 822 | if self.__waitNewBlock(): |
|
|
823 | 823 | return 1 |
|
|
824 | 824 | |
|
|
825 | 825 | if not(self.setNextFile()): |
|
|
826 | 826 | return 0 |
|
|
827 | 827 | |
|
|
828 | 828 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
|
829 | 829 | |
|
|
830 | 830 | self.flagTimeBlock = 0 |
|
|
831 | 831 | |
|
|
832 | 832 | if deltaTime > self.maxTimeStep: |
|
|
833 | 833 | self.flagTimeBlock = 1 |
|
|
834 | 834 | |
|
|
835 | 835 | return 1 |
|
|
836 | 836 | |
|
|
837 | 837 | def readNextBlock(self): |
|
|
838 | 838 | if not(self.__setNewBlock()): |
|
|
839 | 839 | return 0 |
|
|
840 | 840 | |
|
|
841 | 841 | if not(self.readBlock()): |
|
|
842 | 842 | return 0 |
|
|
843 | 843 | |
|
|
844 | 844 | return 1 |
|
|
845 | 845 | |
|
|
846 | 846 | def __readFirstHeader(self): |
|
|
847 | 847 | |
|
|
848 | 848 | self.basicHeaderObj.read(self.fp) |
|
|
849 | 849 | self.systemHeaderObj.read(self.fp) |
|
|
850 | 850 | self.radarControllerHeaderObj.read(self.fp) |
|
|
851 | 851 | self.processingHeaderObj.read(self.fp) |
|
|
852 | 852 | |
|
|
853 | 853 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
854 | 854 | |
|
|
855 | 855 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
856 | 856 | if datatype == 0: |
|
|
857 | 857 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
858 | 858 | elif datatype == 1: |
|
|
859 | 859 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
860 | 860 | elif datatype == 2: |
|
|
861 | 861 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
862 | 862 | elif datatype == 3: |
|
|
863 | 863 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
864 | 864 | elif datatype == 4: |
|
|
865 | 865 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
866 | 866 | elif datatype == 5: |
|
|
867 | 867 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
868 | 868 | else: |
|
|
869 | 869 | raise ValueError, 'Data type was not defined' |
|
|
870 | 870 | |
|
|
871 | 871 | self.dtype = datatype_str |
|
|
872 | 872 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
873 | 873 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
874 | 874 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
875 | 875 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
876 | 876 | self.getBlockDimension() |
|
|
877 | 877 | |
|
|
878 | 878 | def __verifyFile(self, filename, msgFlag=True): |
|
|
879 | 879 | msg = None |
|
|
880 | 880 | try: |
|
|
881 | 881 | fp = open(filename, 'rb') |
|
|
882 | 882 | currentPosition = fp.tell() |
|
|
883 | 883 | except IOError: |
|
|
884 | 884 | traceback.print_exc() |
|
|
885 | 885 | if msgFlag: |
|
|
886 | 886 | print "The file %s can't be opened" % (filename) |
|
|
887 | 887 | return False |
|
|
888 | 888 | |
|
|
889 | 889 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
890 | 890 | |
|
|
891 | 891 | if neededSize == 0: |
|
|
892 | 892 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
893 | 893 | systemHeaderObj = SystemHeader() |
|
|
894 | 894 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
895 | 895 | processingHeaderObj = ProcessingHeader() |
|
|
896 | 896 | |
|
|
897 | 897 | try: |
|
|
898 | 898 | if not( basicHeaderObj.read(fp) ): raise IOError |
|
|
899 | 899 | if not( systemHeaderObj.read(fp) ): raise IOError |
|
|
900 | 900 | if not( radarControllerHeaderObj.read(fp) ): raise IOError |
|
|
901 | 901 | if not( processingHeaderObj.read(fp) ): raise IOError |
|
|
902 | 902 | # data_type = int(numpy.log2((processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
903 | 903 | |
|
|
904 | 904 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
905 | 905 | |
|
|
906 | 906 | except IOError: |
|
|
907 | 907 | traceback.print_exc() |
|
|
908 | 908 | if msgFlag: |
|
|
909 | 909 | print "\tThe file %s is empty or it hasn't enough data" % filename |
|
|
910 | 910 | |
|
|
911 | 911 | fp.close() |
|
|
912 | 912 | return False |
|
|
913 | 913 | else: |
|
|
914 | 914 | msg = "\tSkipping the file %s due to it hasn't enough data" %filename |
|
|
915 | 915 | |
|
|
916 | 916 | fp.close() |
|
|
917 | 917 | fileSize = os.path.getsize(filename) |
|
|
918 | 918 | currentSize = fileSize - currentPosition |
|
|
919 | 919 | if currentSize < neededSize: |
|
|
920 | 920 | if msgFlag and (msg != None): |
|
|
921 | 921 | print msg #print"\tSkipping the file %s due to it hasn't enough data" %filename |
|
|
922 | 922 | return False |
|
|
923 | 923 | |
|
|
924 | 924 | return True |
|
|
925 | 925 | |
|
|
926 | 926 | def setup(self, |
|
|
927 | 927 | path=None, |
|
|
928 | 928 | startDate=None, |
|
|
929 | 929 | endDate=None, |
|
|
930 | 930 | startTime=datetime.time(0,0,0), |
|
|
931 | 931 | endTime=datetime.time(23,59,59), |
|
|
932 | 932 | set=None, |
|
|
933 | 933 | expLabel = "", |
|
|
934 | 934 | ext = None, |
|
|
935 | 935 | online = False, |
|
|
936 | 936 | delay = 60, |
|
|
937 | 937 | walk = True): |
|
|
938 | 938 | |
|
|
939 | 939 | if path == None: |
|
|
940 | 940 | raise ValueError, "The path is not valid" |
|
|
941 | 941 | |
|
|
942 | 942 | if ext == None: |
|
|
943 | 943 | ext = self.ext |
|
|
944 | 944 | |
|
|
945 | 945 | if online: |
|
|
946 | 946 | print "Searching files in online mode..." |
|
|
947 | 947 | |
|
|
948 | 948 | for nTries in range( self.nTries ): |
|
|
949 | 949 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
|
950 | 950 | |
|
|
951 | 951 | if fullpath: |
|
|
952 | 952 | break |
|
|
953 | 953 | |
|
|
954 | 954 | print '\tWaiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
|
955 | 955 | time.sleep( self.delay ) |
|
|
956 | 956 | |
|
|
957 | 957 | if not(fullpath): |
|
|
958 | 958 | print "There 'isn't valied files in %s" % path |
|
|
959 | 959 | return None |
|
|
960 | 960 | |
|
|
961 | 961 | self.year = year |
|
|
962 | 962 | self.doy = doy |
|
|
963 | 963 | self.set = set - 1 |
|
|
964 | 964 | self.path = path |
|
|
965 | 965 | self.foldercounter = foldercounter |
|
|
966 | 966 | last_set = None |
|
|
967 | 967 | |
|
|
968 | 968 | else: |
|
|
969 | 969 | print "Searching files in offline mode ..." |
|
|
970 | 970 | pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|
971 | 971 | startTime=startTime, endTime=endTime, |
|
|
972 | 972 | set=set, expLabel=expLabel, ext=ext, |
|
|
973 | 973 | walk=walk) |
|
|
974 | 974 | |
|
|
975 | 975 | if not(pathList): |
|
|
976 | 976 | print "No *%s files into the folder %s \nfor the range: %s - %s"%(ext, path, |
|
|
977 | 977 | datetime.datetime.combine(startDate,startTime).ctime(), |
|
|
978 | 978 | datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
979 | 979 | |
|
|
980 | 980 | sys.exit(-1) |
|
|
981 | 981 | |
|
|
982 | 982 | |
|
|
983 | 983 | self.fileIndex = -1 |
|
|
984 | 984 | self.pathList = pathList |
|
|
985 | 985 | self.filenameList = filenameList |
|
|
986 | 986 | file_name = os.path.basename(filenameList[-1]) |
|
|
987 | 987 | basename, ext = os.path.splitext(file_name) |
|
|
988 | 988 | last_set = int(basename[-3:]) |
|
|
989 | 989 | |
|
|
990 | 990 | self.online = online |
|
|
991 | 991 | self.delay = delay |
|
|
992 | 992 | ext = ext.lower() |
|
|
993 | 993 | self.ext = ext |
|
|
994 | 994 | |
|
|
995 | 995 | if not(self.setNextFile()): |
|
|
996 | 996 | if (startDate!=None) and (endDate!=None): |
|
|
997 | 997 | print "No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
998 | 998 | elif startDate != None: |
|
|
999 | 999 | print "No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|
1000 | 1000 | else: |
|
|
1001 | 1001 | print "No files" |
|
|
1002 | 1002 | |
|
|
1003 | 1003 | sys.exit(-1) |
|
|
1004 | 1004 | |
|
|
1005 | 1005 | # self.updateDataHeader() |
|
|
1006 | 1006 | if last_set != None: |
|
|
1007 | 1007 | self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
|
1008 | 1008 | return |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | def getBasicHeader(self): |
|
|
1011 | 1011 | |
|
|
1012 | 1012 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1013 | 1013 | |
|
|
1014 | 1014 | self.dataOut.flagTimeBlock = self.flagTimeBlock |
|
|
1015 | 1015 | |
|
|
1016 | 1016 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1017 | 1017 | |
|
|
1018 | 1018 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1019 | 1019 | |
|
|
1020 | 1020 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1021 | 1021 | |
|
|
1022 | 1022 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1023 | 1023 | |
|
|
1024 | 1024 | def getFirstHeader(self): |
|
|
1025 | 1025 | |
|
|
1026 | 1026 | raise ValueError, "This method has not been implemented" |
|
|
1027 | 1027 | |
|
|
1028 | 1028 | def getData(self): |
|
|
1029 | 1029 | |
|
|
1030 | 1030 | raise ValueError, "This method has not been implemented" |
|
|
1031 | 1031 | |
|
|
1032 | 1032 | def hasNotDataInBuffer(self): |
|
|
1033 | 1033 | |
|
|
1034 | 1034 | raise ValueError, "This method has not been implemented" |
|
|
1035 | 1035 | |
|
|
1036 | 1036 | def readBlock(self): |
|
|
1037 | 1037 | |
|
|
1038 | 1038 | raise ValueError, "This method has not been implemented" |
|
|
1039 | 1039 | |
|
|
1040 | 1040 | def isEndProcess(self): |
|
|
1041 | 1041 | |
|
|
1042 | 1042 | return self.flagNoMoreFiles |
|
|
1043 | 1043 | |
|
|
1044 | 1044 | def printReadBlocks(self): |
|
|
1045 | 1045 | |
|
|
1046 | 1046 | print "Number of read blocks per file %04d" %self.nReadBlocks |
|
|
1047 | 1047 | |
|
|
1048 | 1048 | def printTotalBlocks(self): |
|
|
1049 | 1049 | |
|
|
1050 | 1050 | print "Number of read blocks %04d" %self.nTotalBlocks |
|
|
1051 | 1051 | |
|
|
1052 | 1052 | def printNumberOfBlock(self): |
|
|
1053 | 1053 | |
|
|
1054 | 1054 | if self.flagIsNewBlock: |
|
|
1055 | 1055 | print "Block No. %04d, Total blocks %04d -> %s" %(self.basicHeaderObj.dataBlock, self.nTotalBlocks, self.dataOut.datatime.ctime()) |
|
|
1056 | 1056 | self.dataOut.blocknow = self.basicHeaderObj.dataBlock |
|
|
1057 | 1057 | |
|
|
1058 | 1058 | def printInfo(self): |
|
|
1059 | 1059 | |
|
|
1060 | 1060 | if self.__printInfo == False: |
|
|
1061 | 1061 | return |
|
|
1062 | 1062 | |
|
|
1063 | 1063 | self.basicHeaderObj.printInfo() |
|
|
1064 | 1064 | self.systemHeaderObj.printInfo() |
|
|
1065 | 1065 | self.radarControllerHeaderObj.printInfo() |
|
|
1066 | 1066 | self.processingHeaderObj.printInfo() |
|
|
1067 | 1067 | |
|
|
1068 | 1068 | self.__printInfo = False |
|
|
1069 | 1069 | |
|
|
1070 | 1070 | |
|
|
1071 | 1071 | def run(self, **kwargs): |
|
|
1072 | 1072 | |
|
|
1073 | 1073 | if not(self.isConfig): |
|
|
1074 | 1074 | |
|
|
1075 | 1075 | # self.dataOut = dataOut |
|
|
1076 | 1076 | self.setup(**kwargs) |
|
|
1077 | 1077 | self.isConfig = True |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | self.getData() |
|
|
1080 | 1080 | |
|
|
1081 | 1081 | class JRODataWriter(JRODataIO): |
|
|
1082 | 1082 | |
|
|
1083 | 1083 | """ |
|
|
1084 | 1084 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1085 | 1085 | de los datos siempre se realiza por bloques. |
|
|
1086 | 1086 | """ |
|
|
1087 | 1087 | |
|
|
1088 | 1088 | blockIndex = 0 |
|
|
1089 | 1089 | |
|
|
1090 | 1090 | path = None |
|
|
1091 | 1091 | |
|
|
1092 | 1092 | setFile = None |
|
|
1093 | 1093 | |
|
|
1094 | 1094 | profilesPerBlock = None |
|
|
1095 | 1095 | |
|
|
1096 | 1096 | blocksPerFile = None |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | nWriteBlocks = 0 |
|
|
1099 | 1099 | |
|
|
1100 | 1100 | def __init__(self, dataOut=None): |
|
|
1101 | 1101 | raise ValueError, "Not implemented" |
|
|
1102 | 1102 | |
|
|
1103 | 1103 | |
|
|
1104 | 1104 | def hasAllDataInBuffer(self): |
|
|
1105 | 1105 | raise ValueError, "Not implemented" |
|
|
1106 | 1106 | |
|
|
1107 | 1107 | |
|
|
1108 | 1108 | def setBlockDimension(self): |
|
|
1109 | 1109 | raise ValueError, "Not implemented" |
|
|
1110 | 1110 | |
|
|
1111 | 1111 | |
|
|
1112 | 1112 | def writeBlock(self): |
|
|
1113 | 1113 | raise ValueError, "No implemented" |
|
|
1114 | 1114 | |
|
|
1115 | 1115 | |
|
|
1116 | 1116 | def putData(self): |
|
|
1117 | 1117 | raise ValueError, "No implemented" |
|
|
1118 | 1118 | |
|
|
1119 | 1119 | |
|
|
1120 | 1120 | def setBasicHeader(self): |
|
|
1121 | 1121 | |
|
|
1122 | 1122 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
|
1123 | 1123 | self.basicHeaderObj.version = self.versionFile |
|
|
1124 | 1124 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1125 | 1125 | |
|
|
1126 | 1126 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1127 | 1127 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
|
1128 | 1128 | |
|
|
1129 | 1129 | self.basicHeaderObj.utc = utc |
|
|
1130 | 1130 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1131 | 1131 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1132 | 1132 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1133 | 1133 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1134 | 1134 | |
|
|
1135 | 1135 | def setFirstHeader(self): |
|
|
1136 | 1136 | """ |
|
|
1137 | 1137 | Obtiene una copia del First Header |
|
|
1138 | 1138 | |
|
|
1139 | 1139 | Affected: |
|
|
1140 | 1140 | |
|
|
1141 | 1141 | self.basicHeaderObj |
|
|
1142 | 1142 | self.systemHeaderObj |
|
|
1143 | 1143 | self.radarControllerHeaderObj |
|
|
1144 | 1144 | self.processingHeaderObj self. |
|
|
1145 | 1145 | |
|
|
1146 | 1146 | Return: |
|
|
1147 | 1147 | None |
|
|
1148 | 1148 | """ |
|
|
1149 | 1149 | |
|
|
1150 | 1150 | raise ValueError, "No implemented" |
|
|
1151 | 1151 | |
|
|
1152 | 1152 | def __writeFirstHeader(self): |
|
|
1153 | 1153 | """ |
|
|
1154 | 1154 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1155 | 1155 | |
|
|
1156 | 1156 | Affected: |
|
|
1157 | 1157 | __dataType |
|
|
1158 | 1158 | |
|
|
1159 | 1159 | Return: |
|
|
1160 | 1160 | None |
|
|
1161 | 1161 | """ |
|
|
1162 | 1162 | |
|
|
1163 | 1163 | # CALCULAR PARAMETROS |
|
|
1164 | 1164 | |
|
|
1165 | 1165 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1166 | 1166 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1167 | 1167 | |
|
|
1168 | 1168 | self.basicHeaderObj.write(self.fp) |
|
|
1169 | 1169 | self.systemHeaderObj.write(self.fp) |
|
|
1170 | 1170 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1171 | 1171 | self.processingHeaderObj.write(self.fp) |
|
|
1172 | 1172 | |
|
|
1173 | 1173 | self.dtype = self.dataOut.dtype |
|
|
1174 | 1174 | |
|
|
1175 | 1175 | def __setNewBlock(self): |
|
|
1176 | 1176 | """ |
|
|
1177 | 1177 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1178 | 1178 | |
|
|
1179 | 1179 | Return: |
|
|
1180 | 1180 | 0 : si no pudo escribir nada |
|
|
1181 | 1181 | 1 : Si escribio el Basic el First Header |
|
|
1182 | 1182 | """ |
|
|
1183 | 1183 | if self.fp == None: |
|
|
1184 | 1184 | self.setNextFile() |
|
|
1185 | 1185 | |
|
|
1186 | 1186 | if self.flagIsNewFile: |
|
|
1187 | 1187 | return 1 |
|
|
1188 | 1188 | |
|
|
1189 | 1189 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1190 | 1190 | self.basicHeaderObj.write(self.fp) |
|
|
1191 | 1191 | return 1 |
|
|
1192 | 1192 | |
|
|
1193 | 1193 | if not( self.setNextFile() ): |
|
|
1194 | 1194 | return 0 |
|
|
1195 | 1195 | |
|
|
1196 | 1196 | return 1 |
|
|
1197 | 1197 | |
|
|
1198 | 1198 | |
|
|
1199 | 1199 | def writeNextBlock(self): |
|
|
1200 | 1200 | """ |
|
|
1201 | 1201 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1202 | 1202 | |
|
|
1203 | 1203 | Return: |
|
|
1204 | 1204 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1205 | 1205 | 1 : Si no pudo escribir el bloque de datos |
|
|
1206 | 1206 | """ |
|
|
1207 | 1207 | if not( self.__setNewBlock() ): |
|
|
1208 | 1208 | return 0 |
|
|
1209 | 1209 | |
|
|
1210 | 1210 | self.writeBlock() |
|
|
1211 | 1211 | |
|
|
1212 | 1212 | return 1 |
|
|
1213 | 1213 | |
|
|
1214 | 1214 | def setNextFile(self): |
|
|
1215 | 1215 | """ |
|
|
1216 | 1216 | Determina el siguiente file que sera escrito |
|
|
1217 | 1217 | |
|
|
1218 | 1218 | Affected: |
|
|
1219 | 1219 | self.filename |
|
|
1220 | 1220 | self.subfolder |
|
|
1221 | 1221 | self.fp |
|
|
1222 | 1222 | self.setFile |
|
|
1223 | 1223 | self.flagIsNewFile |
|
|
1224 | 1224 | |
|
|
1225 | 1225 | Return: |
|
|
1226 | 1226 | 0 : Si el archivo no puede ser escrito |
|
|
1227 | 1227 | 1 : Si el archivo esta listo para ser escrito |
|
|
1228 | 1228 | """ |
|
|
1229 | 1229 | ext = self.ext |
|
|
1230 | 1230 | path = self.path |
|
|
1231 | 1231 | |
|
|
1232 | 1232 | if self.fp != None: |
|
|
1233 | 1233 | self.fp.close() |
|
|
1234 | 1234 | |
|
|
1235 | 1235 | timeTuple = time.localtime( self.dataOut.utctime) |
|
|
1236 | 1236 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
1237 | 1237 | |
|
|
1238 | 1238 | fullpath = os.path.join( path, subfolder ) |
|
|
1239 | 1239 | if not( os.path.exists(fullpath) ): |
|
|
1240 | 1240 | os.mkdir(fullpath) |
|
|
1241 | 1241 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
1242 | 1242 | else: |
|
|
1243 | 1243 | filesList = os.listdir( fullpath ) |
|
|
1244 | 1244 | if len( filesList ) > 0: |
|
|
1245 | 1245 | filesList = sorted( filesList, key=str.lower ) |
|
|
1246 | 1246 | filen = filesList[-1] |
|
|
1247 | 1247 | # el filename debera tener el siguiente formato |
|
|
1248 | 1248 | # 0 1234 567 89A BCDE (hex) |
|
|
1249 | 1249 | # x YYYY DDD SSS .ext |
|
|
1250 | 1250 | if isNumber( filen[8:11] ): |
|
|
1251 | 1251 | self.setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
1252 | 1252 | else: |
|
|
1253 | 1253 | self.setFile = -1 |
|
|
1254 | 1254 | else: |
|
|
1255 | 1255 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
1256 | 1256 | |
|
|
1257 | 1257 | setFile = self.setFile |
|
|
1258 | 1258 | setFile += 1 |
|
|
1259 | 1259 | |
|
|
1260 | 1260 | file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, |
|
|
1261 | 1261 | timeTuple.tm_year, |
|
|
1262 | 1262 | timeTuple.tm_yday, |
|
|
1263 | 1263 | setFile, |
|
|
1264 | 1264 | ext ) |
|
|
1265 | 1265 | |
|
|
1266 | 1266 | filename = os.path.join( path, subfolder, file ) |
|
|
1267 | 1267 | |
|
|
1268 | 1268 | fp = open( filename,'wb' ) |
|
|
1269 | 1269 | |
|
|
1270 | 1270 | self.blockIndex = 0 |
|
|
1271 | 1271 | |
|
|
1272 | 1272 | #guardando atributos |
|
|
1273 | 1273 | self.filename = filename |
|
|
1274 | 1274 | self.subfolder = subfolder |
|
|
1275 | 1275 | self.fp = fp |
|
|
1276 | 1276 | self.setFile = setFile |
|
|
1277 | 1277 | self.flagIsNewFile = 1 |
|
|
1278 | 1278 | |
|
|
1279 | 1279 | self.setFirstHeader() |
|
|
1280 | 1280 | |
|
|
1281 | 1281 | print 'Writing the file: %s'%self.filename |
|
|
1282 | 1282 | |
|
|
1283 | 1283 | self.__writeFirstHeader() |
|
|
1284 | 1284 | |
|
|
1285 | 1285 | return 1 |
|
|
1286 | 1286 | |
|
|
1287 | 1287 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=0, ext=None): |
|
|
1288 | 1288 | """ |
|
|
1289 | 1289 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1290 | 1290 | |
|
|
1291 | 1291 | Inputs: |
|
|
1292 | 1292 | path : el path destino en el cual se escribiran los files a crear |
|
|
1293 | 1293 | format : formato en el cual sera salvado un file |
|
|
1294 | 1294 | set : el setebo del file |
|
|
1295 | 1295 | |
|
|
1296 | 1296 | Return: |
|
|
1297 | 1297 | 0 : Si no realizo un buen seteo |
|
|
1298 | 1298 | 1 : Si realizo un buen seteo |
|
|
1299 | 1299 | """ |
|
|
1300 | 1300 | |
|
|
1301 | 1301 | if ext == None: |
|
|
1302 | 1302 | ext = self.ext |
|
|
1303 | 1303 | |
|
|
1304 | 1304 | ext = ext.lower() |
|
|
1305 | 1305 | |
|
|
1306 | 1306 | self.ext = ext |
|
|
1307 | 1307 | |
|
|
1308 | 1308 | self.path = path |
|
|
1309 | 1309 | |
|
|
1310 | 1310 | self.setFile = set - 1 |
|
|
1311 | 1311 | |
|
|
1312 | 1312 | self.blocksPerFile = blocksPerFile |
|
|
1313 | 1313 | |
|
|
1314 | 1314 | self.profilesPerBlock = profilesPerBlock |
|
|
1315 | 1315 | |
|
|
1316 | 1316 | self.dataOut = dataOut |
|
|
1317 | 1317 | |
|
|
1318 | 1318 | if not(self.setNextFile()): |
|
|
1319 | 1319 | print "There isn't a next file" |
|
|
1320 | 1320 | return 0 |
|
|
1321 | 1321 | |
|
|
1322 | 1322 | self.setBlockDimension() |
|
|
1323 | 1323 | |
|
|
1324 | 1324 | return 1 |
|
|
1325 | 1325 | |
|
|
1326 | 1326 | def run(self, dataOut, **kwargs): |
|
|
1327 | 1327 | |
|
|
1328 | 1328 | if not(self.isConfig): |
|
|
1329 | 1329 | |
|
|
1330 | 1330 | self.setup(dataOut, **kwargs) |
|
|
1331 | 1331 | self.isConfig = True |
|
|
1332 | 1332 | |
|
|
1333 | 1333 | self.putData() |
|
|
1334 | 1334 | |
| @@ -1,3 +1,4 | |||
|
|
1 | 1 | from jroIO_voltage import * |
|
|
2 | 2 | from jroIO_spectra import * |
|
|
3 | 3 | from jroIO_heispectra import * |
|
|
4 | from jroIO_amisr import * No newline at end of file | |
| @@ -1,1024 +1,1025 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | |
|
|
3 | 3 | from jroproc_base import ProcessingUnit, Operation |
|
|
4 | 4 | from model.data.jrodata import Spectra |
|
|
5 | from model.data.jrodata import hildebrand_sekhon | |
|
|
5 | 6 | |
|
|
6 | 7 | class SpectraProc(ProcessingUnit): |
|
|
7 | 8 | |
|
|
8 | 9 | def __init__(self): |
|
|
9 | 10 | |
|
|
10 | 11 | ProcessingUnit.__init__(self) |
|
|
11 | 12 | |
|
|
12 | 13 | self.buffer = None |
|
|
13 | 14 | self.firstdatatime = None |
|
|
14 | 15 | self.profIndex = 0 |
|
|
15 | 16 | self.dataOut = Spectra() |
|
|
16 | 17 | |
|
|
17 | 18 | def __updateObjFromInput(self): |
|
|
18 | 19 | |
|
|
19 | 20 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|
20 | 21 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|
21 | 22 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|
22 | 23 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|
23 | 24 | |
|
|
24 | 25 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
|
25 | 26 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
|
26 | 27 | self.dataOut.channelList = self.dataIn.channelList |
|
|
27 | 28 | self.dataOut.heightList = self.dataIn.heightList |
|
|
28 | 29 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
29 | 30 | # self.dataOut.nHeights = self.dataIn.nHeights |
|
|
30 | 31 | # self.dataOut.nChannels = self.dataIn.nChannels |
|
|
31 | 32 | self.dataOut.nBaud = self.dataIn.nBaud |
|
|
32 | 33 | self.dataOut.nCode = self.dataIn.nCode |
|
|
33 | 34 | self.dataOut.code = self.dataIn.code |
|
|
34 | 35 | self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
|
35 | 36 | # self.dataOut.channelIndexList = self.dataIn.channelIndexList |
|
|
36 | 37 | self.dataOut.flagTimeBlock = self.dataIn.flagTimeBlock |
|
|
37 | 38 | self.dataOut.utctime = self.firstdatatime |
|
|
38 | 39 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
|
39 | 40 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
|
40 | 41 | # self.dataOut.flagShiftFFT = self.dataIn.flagShiftFFT |
|
|
41 | 42 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|
42 | 43 | self.dataOut.nIncohInt = 1 |
|
|
43 | 44 | # self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
|
44 | 45 | self.dataOut.windowOfFilter = self.dataIn.windowOfFilter |
|
|
45 | 46 | |
|
|
46 | 47 | self.dataOut.timeInterval = self.dataIn.timeInterval*self.dataOut.nFFTPoints*self.dataOut.nIncohInt |
|
|
47 | 48 | self.dataOut.frequency = self.dataIn.frequency |
|
|
48 | 49 | self.dataOut.realtime = self.dataIn.realtime |
|
|
49 | 50 | |
|
|
50 | 51 | def __getFft(self): |
|
|
51 | 52 | """ |
|
|
52 | 53 | Convierte valores de Voltaje a Spectra |
|
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53 | 54 | |
|
|
54 | 55 | Affected: |
|
|
55 | 56 | self.dataOut.data_spc |
|
|
56 | 57 | self.dataOut.data_cspc |
|
|
57 | 58 | self.dataOut.data_dc |
|
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58 | 59 | self.dataOut.heightList |
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59 | 60 | self.profIndex |
|
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60 | 61 | self.buffer |
|
|
61 | 62 | self.dataOut.flagNoData |
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|
62 | 63 | """ |
|
|
63 | 64 | fft_volt = numpy.fft.fft(self.buffer,n=self.dataOut.nFFTPoints,axis=1) |
|
|
64 | 65 | fft_volt = fft_volt.astype(numpy.dtype('complex')) |
|
|
65 | 66 | dc = fft_volt[:,0,:] |
|
|
66 | 67 | |
|
|
67 | 68 | #calculo de self-spectra |
|
|
68 | 69 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
|
|
69 | 70 | spc = fft_volt * numpy.conjugate(fft_volt) |
|
|
70 | 71 | spc = spc.real |
|
|
71 | 72 | |
|
|
72 | 73 | blocksize = 0 |
|
|
73 | 74 | blocksize += dc.size |
|
|
74 | 75 | blocksize += spc.size |
|
|
75 | 76 | |
|
|
76 | 77 | cspc = None |
|
|
77 | 78 | pairIndex = 0 |
|
|
78 | 79 | if self.dataOut.pairsList != None: |
|
|
79 | 80 | #calculo de cross-spectra |
|
|
80 | 81 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') |
|
|
81 | 82 | for pair in self.dataOut.pairsList: |
|
|
82 | 83 | cspc[pairIndex,:,:] = fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]) |
|
|
83 | 84 | pairIndex += 1 |
|
|
84 | 85 | blocksize += cspc.size |
|
|
85 | 86 | |
|
|
86 | 87 | self.dataOut.data_spc = spc |
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87 | 88 | self.dataOut.data_cspc = cspc |
|
|
88 | 89 | self.dataOut.data_dc = dc |
|
|
89 | 90 | self.dataOut.blockSize = blocksize |
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90 | 91 | self.dataOut.flagShiftFFT = False |
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91 | 92 | |
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92 | 93 | def run(self, nProfiles=None, nFFTPoints=None, pairsList=[], ippFactor=None): |
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93 | 94 | |
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94 | 95 | self.dataOut.flagNoData = True |
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95 | 96 | |
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|
96 | 97 | if self.dataIn.type == "Spectra": |
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97 | 98 | self.dataOut.copy(self.dataIn) |
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|
98 | 99 | return True |
|
|
99 | 100 | |
|
|
100 | 101 | if self.dataIn.type == "Voltage": |
|
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101 | 102 | |
|
|
102 | 103 | if nFFTPoints == None: |
|
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103 | 104 | raise ValueError, "This SpectraProc.run() need nFFTPoints input variable" |
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|
104 | 105 | |
|
|
105 | 106 | nProfiles = nFFTPoints |
|
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106 | 107 | |
|
|
107 | 108 | # if pairsList == None: |
|
|
108 | 109 | # nPairs = 0 |
|
|
109 | 110 | # else: |
|
|
110 | 111 | # nPairs = len(pairsList) |
|
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111 | 112 | |
|
|
112 | 113 | if ippFactor == None: |
|
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113 | 114 | ippFactor = 1 |
|
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114 | 115 | self.dataOut.ippFactor = ippFactor |
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115 | 116 | |
|
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116 | 117 | self.dataOut.nFFTPoints = nFFTPoints |
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117 | 118 | self.dataOut.pairsList = pairsList |
|
|
118 | 119 | # self.dataOut.nPairs = nPairs |
|
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119 | 120 | |
|
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120 | 121 | if self.buffer == None: |
|
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121 | 122 | self.buffer = numpy.zeros((self.dataIn.nChannels, |
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122 | 123 | nProfiles, |
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123 | 124 | self.dataIn.nHeights), |
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124 | 125 | dtype='complex') |
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125 | 126 | |
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126 | 127 | |
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127 | 128 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() |
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128 | 129 | self.profIndex += 1 |
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129 | 130 | |
|
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130 | 131 | if self.firstdatatime == None: |
|
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131 | 132 | self.firstdatatime = self.dataIn.utctime |
|
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132 | 133 | |
|
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133 | 134 | if self.profIndex == nProfiles: |
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134 | 135 | self.__updateObjFromInput() |
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135 | 136 | self.__getFft() |
|
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136 | 137 | |
|
|
137 | 138 | self.dataOut.flagNoData = False |
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138 | 139 | |
|
|
139 | 140 | self.buffer = None |
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140 | 141 | self.firstdatatime = None |
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141 | 142 | self.profIndex = 0 |
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142 | 143 | |
|
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143 | 144 | return True |
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144 | 145 | |
|
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145 | 146 | raise ValueError, "The type object %s is not valid"%(self.dataIn.type) |
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146 | 147 | |
|
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147 | 148 | def selectChannels(self, channelList): |
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148 | 149 | |
|
|
149 | 150 | channelIndexList = [] |
|
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150 | 151 | |
|
|
151 | 152 | for channel in channelList: |
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152 | 153 | index = self.dataOut.channelList.index(channel) |
|
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153 | 154 | channelIndexList.append(index) |
|
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154 | 155 | |
|
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155 | 156 | self.selectChannelsByIndex(channelIndexList) |
|
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156 | 157 | |
|
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157 | 158 | def selectChannelsByIndex(self, channelIndexList): |
|
|
158 | 159 | """ |
|
|
159 | 160 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
160 | 161 | |
|
|
161 | 162 | Input: |
|
|
162 | 163 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
163 | 164 | |
|
|
164 | 165 | Affected: |
|
|
165 | 166 | self.dataOut.data_spc |
|
|
166 | 167 | self.dataOut.channelIndexList |
|
|
167 | 168 | self.dataOut.nChannels |
|
|
168 | 169 | |
|
|
169 | 170 | Return: |
|
|
170 | 171 | None |
|
|
171 | 172 | """ |
|
|
172 | 173 | |
|
|
173 | 174 | for channelIndex in channelIndexList: |
|
|
174 | 175 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
175 | 176 | print channelIndexList |
|
|
176 | 177 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
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177 | 178 | |
|
|
178 | 179 | # nChannels = len(channelIndexList) |
|
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179 | 180 | |
|
|
180 | 181 | data_spc = self.dataOut.data_spc[channelIndexList,:] |
|
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181 | 182 | |
|
|
182 | 183 | self.dataOut.data_spc = data_spc |
|
|
183 | 184 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
184 | 185 | # self.dataOut.nChannels = nChannels |
|
|
185 | 186 | |
|
|
186 | 187 | return 1 |
|
|
187 | 188 | |
|
|
188 | 189 | def selectHeights(self, minHei, maxHei): |
|
|
189 | 190 | """ |
|
|
190 | 191 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|
191 | 192 | minHei <= height <= maxHei |
|
|
192 | 193 | |
|
|
193 | 194 | Input: |
|
|
194 | 195 | minHei : valor minimo de altura a considerar |
|
|
195 | 196 | maxHei : valor maximo de altura a considerar |
|
|
196 | 197 | |
|
|
197 | 198 | Affected: |
|
|
198 | 199 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|
199 | 200 | |
|
|
200 | 201 | Return: |
|
|
201 | 202 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
202 | 203 | """ |
|
|
203 | 204 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|
204 | 205 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|
205 | 206 | |
|
|
206 | 207 | if (maxHei > self.dataOut.heightList[-1]): |
|
|
207 | 208 | maxHei = self.dataOut.heightList[-1] |
|
|
208 | 209 | # raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|
209 | 210 | |
|
|
210 | 211 | minIndex = 0 |
|
|
211 | 212 | maxIndex = 0 |
|
|
212 | 213 | heights = self.dataOut.heightList |
|
|
213 | 214 | |
|
|
214 | 215 | inda = numpy.where(heights >= minHei) |
|
|
215 | 216 | indb = numpy.where(heights <= maxHei) |
|
|
216 | 217 | |
|
|
217 | 218 | try: |
|
|
218 | 219 | minIndex = inda[0][0] |
|
|
219 | 220 | except: |
|
|
220 | 221 | minIndex = 0 |
|
|
221 | 222 | |
|
|
222 | 223 | try: |
|
|
223 | 224 | maxIndex = indb[0][-1] |
|
|
224 | 225 | except: |
|
|
225 | 226 | maxIndex = len(heights) |
|
|
226 | 227 | |
|
|
227 | 228 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
|
228 | 229 | |
|
|
229 | 230 | return 1 |
|
|
230 | 231 | |
|
|
231 | 232 | def getBeaconSignal(self, tauindex = 0, channelindex = 0, hei_ref=None): |
|
|
232 | 233 | newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) |
|
|
233 | 234 | |
|
|
234 | 235 | if hei_ref != None: |
|
|
235 | 236 | newheis = numpy.where(self.dataOut.heightList>hei_ref) |
|
|
236 | 237 | |
|
|
237 | 238 | minIndex = min(newheis[0]) |
|
|
238 | 239 | maxIndex = max(newheis[0]) |
|
|
239 | 240 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
|
240 | 241 | heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|
241 | 242 | |
|
|
242 | 243 | # determina indices |
|
|
243 | 244 | nheis = int(self.dataOut.radarControllerHeaderObj.txB/(self.dataOut.heightList[1]-self.dataOut.heightList[0])) |
|
|
244 | 245 | avg_dB = 10*numpy.log10(numpy.sum(data_spc[channelindex,:,:],axis=0)) |
|
|
245 | 246 | beacon_dB = numpy.sort(avg_dB)[-nheis:] |
|
|
246 | 247 | beacon_heiIndexList = [] |
|
|
247 | 248 | for val in avg_dB.tolist(): |
|
|
248 | 249 | if val >= beacon_dB[0]: |
|
|
249 | 250 | beacon_heiIndexList.append(avg_dB.tolist().index(val)) |
|
|
250 | 251 | |
|
|
251 | 252 | #data_spc = data_spc[:,:,beacon_heiIndexList] |
|
|
252 | 253 | data_cspc = None |
|
|
253 | 254 | if self.dataOut.data_cspc != None: |
|
|
254 | 255 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
|
255 | 256 | #data_cspc = data_cspc[:,:,beacon_heiIndexList] |
|
|
256 | 257 | |
|
|
257 | 258 | data_dc = None |
|
|
258 | 259 | if self.dataOut.data_dc != None: |
|
|
259 | 260 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
|
260 | 261 | #data_dc = data_dc[:,beacon_heiIndexList] |
|
|
261 | 262 | |
|
|
262 | 263 | self.dataOut.data_spc = data_spc |
|
|
263 | 264 | self.dataOut.data_cspc = data_cspc |
|
|
264 | 265 | self.dataOut.data_dc = data_dc |
|
|
265 | 266 | self.dataOut.heightList = heightList |
|
|
266 | 267 | self.dataOut.beacon_heiIndexList = beacon_heiIndexList |
|
|
267 | 268 | |
|
|
268 | 269 | return 1 |
|
|
269 | 270 | |
|
|
270 | 271 | |
|
|
271 | 272 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|
272 | 273 | """ |
|
|
273 | 274 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|
274 | 275 | minIndex <= index <= maxIndex |
|
|
275 | 276 | |
|
|
276 | 277 | Input: |
|
|
277 | 278 | minIndex : valor de indice minimo de altura a considerar |
|
|
278 | 279 | maxIndex : valor de indice maximo de altura a considerar |
|
|
279 | 280 | |
|
|
280 | 281 | Affected: |
|
|
281 | 282 | self.dataOut.data_spc |
|
|
282 | 283 | self.dataOut.data_cspc |
|
|
283 | 284 | self.dataOut.data_dc |
|
|
284 | 285 | self.dataOut.heightList |
|
|
285 | 286 | |
|
|
286 | 287 | Return: |
|
|
287 | 288 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
288 | 289 | """ |
|
|
289 | 290 | |
|
|
290 | 291 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
291 | 292 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
292 | 293 | |
|
|
293 | 294 | if (maxIndex >= self.dataOut.nHeights): |
|
|
294 | 295 | maxIndex = self.dataOut.nHeights-1 |
|
|
295 | 296 | # raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
296 | 297 | |
|
|
297 | 298 | # nHeights = maxIndex - minIndex + 1 |
|
|
298 | 299 | |
|
|
299 | 300 | #Spectra |
|
|
300 | 301 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
|
301 | 302 | |
|
|
302 | 303 | data_cspc = None |
|
|
303 | 304 | if self.dataOut.data_cspc != None: |
|
|
304 | 305 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
|
305 | 306 | |
|
|
306 | 307 | data_dc = None |
|
|
307 | 308 | if self.dataOut.data_dc != None: |
|
|
308 | 309 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
|
309 | 310 | |
|
|
310 | 311 | self.dataOut.data_spc = data_spc |
|
|
311 | 312 | self.dataOut.data_cspc = data_cspc |
|
|
312 | 313 | self.dataOut.data_dc = data_dc |
|
|
313 | 314 | |
|
|
314 | 315 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|
315 | 316 | |
|
|
316 | 317 | return 1 |
|
|
317 | 318 | |
|
|
318 | 319 | def removeDC(self, mode = 2): |
|
|
319 | 320 | jspectra = self.dataOut.data_spc |
|
|
320 | 321 | jcspectra = self.dataOut.data_cspc |
|
|
321 | 322 | |
|
|
322 | 323 | |
|
|
323 | 324 | num_chan = jspectra.shape[0] |
|
|
324 | 325 | num_hei = jspectra.shape[2] |
|
|
325 | 326 | |
|
|
326 | 327 | if jcspectra != None: |
|
|
327 | 328 | jcspectraExist = True |
|
|
328 | 329 | num_pairs = jcspectra.shape[0] |
|
|
329 | 330 | else: jcspectraExist = False |
|
|
330 | 331 | |
|
|
331 | 332 | freq_dc = jspectra.shape[1]/2 |
|
|
332 | 333 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc |
|
|
333 | 334 | |
|
|
334 | 335 | if ind_vel[0]<0: |
|
|
335 | 336 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof |
|
|
336 | 337 | |
|
|
337 | 338 | if mode == 1: |
|
|
338 | 339 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION |
|
|
339 | 340 | |
|
|
340 | 341 | if jcspectraExist: |
|
|
341 | 342 | jcspectra[:,freq_dc,:] = (jcspectra[:,ind_vel[1],:] + jcspectra[:,ind_vel[2],:])/2 |
|
|
342 | 343 | |
|
|
343 | 344 | if mode == 2: |
|
|
344 | 345 | |
|
|
345 | 346 | vel = numpy.array([-2,-1,1,2]) |
|
|
346 | 347 | xx = numpy.zeros([4,4]) |
|
|
347 | 348 | |
|
|
348 | 349 | for fil in range(4): |
|
|
349 | 350 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) |
|
|
350 | 351 | |
|
|
351 | 352 | xx_inv = numpy.linalg.inv(xx) |
|
|
352 | 353 | xx_aux = xx_inv[0,:] |
|
|
353 | 354 | |
|
|
354 | 355 | for ich in range(num_chan): |
|
|
355 | 356 | yy = jspectra[ich,ind_vel,:] |
|
|
356 | 357 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
|
357 | 358 | |
|
|
358 | 359 | junkid = jspectra[ich,freq_dc,:]<=0 |
|
|
359 | 360 | cjunkid = sum(junkid) |
|
|
360 | 361 | |
|
|
361 | 362 | if cjunkid.any(): |
|
|
362 | 363 | jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2 |
|
|
363 | 364 | |
|
|
364 | 365 | if jcspectraExist: |
|
|
365 | 366 | for ip in range(num_pairs): |
|
|
366 | 367 | yy = jcspectra[ip,ind_vel,:] |
|
|
367 | 368 | jcspectra[ip,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
|
368 | 369 | |
|
|
369 | 370 | |
|
|
370 | 371 | self.dataOut.data_spc = jspectra |
|
|
371 | 372 | self.dataOut.data_cspc = jcspectra |
|
|
372 | 373 | |
|
|
373 | 374 | return 1 |
|
|
374 | 375 | |
|
|
375 | 376 | def removeInterference(self, interf = 2,hei_interf = None, nhei_interf = None, offhei_interf = None): |
|
|
376 | 377 | |
|
|
377 | 378 | jspectra = self.dataOut.data_spc |
|
|
378 | 379 | jcspectra = self.dataOut.data_cspc |
|
|
379 | 380 | jnoise = self.dataOut.getNoise() |
|
|
380 | 381 | num_incoh = self.dataOut.nIncohInt |
|
|
381 | 382 | |
|
|
382 | 383 | num_channel = jspectra.shape[0] |
|
|
383 | 384 | num_prof = jspectra.shape[1] |
|
|
384 | 385 | num_hei = jspectra.shape[2] |
|
|
385 | 386 | |
|
|
386 | 387 | #hei_interf |
|
|
387 | 388 | if hei_interf == None: |
|
|
388 | 389 | count_hei = num_hei/2 #Como es entero no importa |
|
|
389 | 390 | hei_interf = numpy.asmatrix(range(count_hei)) + num_hei - count_hei |
|
|
390 | 391 | hei_interf = numpy.asarray(hei_interf)[0] |
|
|
391 | 392 | #nhei_interf |
|
|
392 | 393 | if (nhei_interf == None): |
|
|
393 | 394 | nhei_interf = 5 |
|
|
394 | 395 | if (nhei_interf < 1): |
|
|
395 | 396 | nhei_interf = 1 |
|
|
396 | 397 | if (nhei_interf > count_hei): |
|
|
397 | 398 | nhei_interf = count_hei |
|
|
398 | 399 | if (offhei_interf == None): |
|
|
399 | 400 | offhei_interf = 0 |
|
|
400 | 401 | |
|
|
401 | 402 | ind_hei = range(num_hei) |
|
|
402 | 403 | # mask_prof = numpy.asarray(range(num_prof - 2)) + 1 |
|
|
403 | 404 | # mask_prof[range(num_prof/2 - 1,len(mask_prof))] += 1 |
|
|
404 | 405 | mask_prof = numpy.asarray(range(num_prof)) |
|
|
405 | 406 | num_mask_prof = mask_prof.size |
|
|
406 | 407 | comp_mask_prof = [0, num_prof/2] |
|
|
407 | 408 | |
|
|
408 | 409 | |
|
|
409 | 410 | #noise_exist: Determina si la variable jnoise ha sido definida y contiene la informacion del ruido de cada canal |
|
|
410 | 411 | if (jnoise.size < num_channel or numpy.isnan(jnoise).any()): |
|
|
411 | 412 | jnoise = numpy.nan |
|
|
412 | 413 | noise_exist = jnoise[0] < numpy.Inf |
|
|
413 | 414 | |
|
|
414 | 415 | #Subrutina de Remocion de la Interferencia |
|
|
415 | 416 | for ich in range(num_channel): |
|
|
416 | 417 | #Se ordena los espectros segun su potencia (menor a mayor) |
|
|
417 | 418 | power = jspectra[ich,mask_prof,:] |
|
|
418 | 419 | power = power[:,hei_interf] |
|
|
419 | 420 | power = power.sum(axis = 0) |
|
|
420 | 421 | psort = power.ravel().argsort() |
|
|
421 | 422 | |
|
|
422 | 423 | #Se estima la interferencia promedio en los Espectros de Potencia empleando |
|
|
423 | 424 | junkspc_interf = jspectra[ich,:,hei_interf[psort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
|
424 | 425 | |
|
|
425 | 426 | if noise_exist: |
|
|
426 | 427 | # tmp_noise = jnoise[ich] / num_prof |
|
|
427 | 428 | tmp_noise = jnoise[ich] |
|
|
428 | 429 | junkspc_interf = junkspc_interf - tmp_noise |
|
|
429 | 430 | #junkspc_interf[:,comp_mask_prof] = 0 |
|
|
430 | 431 | |
|
|
431 | 432 | jspc_interf = junkspc_interf.sum(axis = 0) / nhei_interf |
|
|
432 | 433 | jspc_interf = jspc_interf.transpose() |
|
|
433 | 434 | #Calculando el espectro de interferencia promedio |
|
|
434 | 435 | noiseid = numpy.where(jspc_interf <= tmp_noise/ math.sqrt(num_incoh)) |
|
|
435 | 436 | noiseid = noiseid[0] |
|
|
436 | 437 | cnoiseid = noiseid.size |
|
|
437 | 438 | interfid = numpy.where(jspc_interf > tmp_noise/ math.sqrt(num_incoh)) |
|
|
438 | 439 | interfid = interfid[0] |
|
|
439 | 440 | cinterfid = interfid.size |
|
|
440 | 441 | |
|
|
441 | 442 | if (cnoiseid > 0): jspc_interf[noiseid] = 0 |
|
|
442 | 443 | |
|
|
443 | 444 | #Expandiendo los perfiles a limpiar |
|
|
444 | 445 | if (cinterfid > 0): |
|
|
445 | 446 | new_interfid = (numpy.r_[interfid - 1, interfid, interfid + 1] + num_prof)%num_prof |
|
|
446 | 447 | new_interfid = numpy.asarray(new_interfid) |
|
|
447 | 448 | new_interfid = {x for x in new_interfid} |
|
|
448 | 449 | new_interfid = numpy.array(list(new_interfid)) |
|
|
449 | 450 | new_cinterfid = new_interfid.size |
|
|
450 | 451 | else: new_cinterfid = 0 |
|
|
451 | 452 | |
|
|
452 | 453 | for ip in range(new_cinterfid): |
|
|
453 | 454 | ind = junkspc_interf[:,new_interfid[ip]].ravel().argsort() |
|
|
454 | 455 | jspc_interf[new_interfid[ip]] = junkspc_interf[ind[nhei_interf/2],new_interfid[ip]] |
|
|
455 | 456 | |
|
|
456 | 457 | |
|
|
457 | 458 | jspectra[ich,:,ind_hei] = jspectra[ich,:,ind_hei] - jspc_interf #Corregir indices |
|
|
458 | 459 | |
|
|
459 | 460 | #Removiendo la interferencia del punto de mayor interferencia |
|
|
460 | 461 | ListAux = jspc_interf[mask_prof].tolist() |
|
|
461 | 462 | maxid = ListAux.index(max(ListAux)) |
|
|
462 | 463 | |
|
|
463 | 464 | |
|
|
464 | 465 | if cinterfid > 0: |
|
|
465 | 466 | for ip in range(cinterfid*(interf == 2) - 1): |
|
|
466 | 467 | ind = (jspectra[ich,interfid[ip],:] < tmp_noise*(1 + 1/math.sqrt(num_incoh))).nonzero() |
|
|
467 | 468 | cind = len(ind) |
|
|
468 | 469 | |
|
|
469 | 470 | if (cind > 0): |
|
|
470 | 471 | jspectra[ich,interfid[ip],ind] = tmp_noise*(1 + (numpy.random.uniform(cind) - 0.5)/math.sqrt(num_incoh)) |
|
|
471 | 472 | |
|
|
472 | 473 | ind = numpy.array([-2,-1,1,2]) |
|
|
473 | 474 | xx = numpy.zeros([4,4]) |
|
|
474 | 475 | |
|
|
475 | 476 | for id1 in range(4): |
|
|
476 | 477 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
|
477 | 478 | |
|
|
478 | 479 | xx_inv = numpy.linalg.inv(xx) |
|
|
479 | 480 | xx = xx_inv[:,0] |
|
|
480 | 481 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
|
481 | 482 | yy = jspectra[ich,mask_prof[ind],:] |
|
|
482 | 483 | jspectra[ich,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
|
483 | 484 | |
|
|
484 | 485 | |
|
|
485 | 486 | indAux = (jspectra[ich,:,:] < tmp_noise*(1-1/math.sqrt(num_incoh))).nonzero() |
|
|
486 | 487 | jspectra[ich,indAux[0],indAux[1]] = tmp_noise * (1 - 1/math.sqrt(num_incoh)) |
|
|
487 | 488 | |
|
|
488 | 489 | #Remocion de Interferencia en el Cross Spectra |
|
|
489 | 490 | if jcspectra == None: return jspectra, jcspectra |
|
|
490 | 491 | num_pairs = jcspectra.size/(num_prof*num_hei) |
|
|
491 | 492 | jcspectra = jcspectra.reshape(num_pairs, num_prof, num_hei) |
|
|
492 | 493 | |
|
|
493 | 494 | for ip in range(num_pairs): |
|
|
494 | 495 | |
|
|
495 | 496 | #------------------------------------------- |
|
|
496 | 497 | |
|
|
497 | 498 | cspower = numpy.abs(jcspectra[ip,mask_prof,:]) |
|
|
498 | 499 | cspower = cspower[:,hei_interf] |
|
|
499 | 500 | cspower = cspower.sum(axis = 0) |
|
|
500 | 501 | |
|
|
501 | 502 | cspsort = cspower.ravel().argsort() |
|
|
502 | 503 | junkcspc_interf = jcspectra[ip,:,hei_interf[cspsort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
|
503 | 504 | junkcspc_interf = junkcspc_interf.transpose() |
|
|
504 | 505 | jcspc_interf = junkcspc_interf.sum(axis = 1)/nhei_interf |
|
|
505 | 506 | |
|
|
506 | 507 | ind = numpy.abs(jcspc_interf[mask_prof]).ravel().argsort() |
|
|
507 | 508 | |
|
|
508 | 509 | median_real = numpy.median(numpy.real(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
|
509 | 510 | median_imag = numpy.median(numpy.imag(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
|
510 | 511 | junkcspc_interf[comp_mask_prof,:] = numpy.complex(median_real, median_imag) |
|
|
511 | 512 | |
|
|
512 | 513 | for iprof in range(num_prof): |
|
|
513 | 514 | ind = numpy.abs(junkcspc_interf[iprof,:]).ravel().argsort() |
|
|
514 | 515 | jcspc_interf[iprof] = junkcspc_interf[iprof, ind[nhei_interf/2]] |
|
|
515 | 516 | |
|
|
516 | 517 | #Removiendo la Interferencia |
|
|
517 | 518 | jcspectra[ip,:,ind_hei] = jcspectra[ip,:,ind_hei] - jcspc_interf |
|
|
518 | 519 | |
|
|
519 | 520 | ListAux = numpy.abs(jcspc_interf[mask_prof]).tolist() |
|
|
520 | 521 | maxid = ListAux.index(max(ListAux)) |
|
|
521 | 522 | |
|
|
522 | 523 | ind = numpy.array([-2,-1,1,2]) |
|
|
523 | 524 | xx = numpy.zeros([4,4]) |
|
|
524 | 525 | |
|
|
525 | 526 | for id1 in range(4): |
|
|
526 | 527 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
|
527 | 528 | |
|
|
528 | 529 | xx_inv = numpy.linalg.inv(xx) |
|
|
529 | 530 | xx = xx_inv[:,0] |
|
|
530 | 531 | |
|
|
531 | 532 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
|
532 | 533 | yy = jcspectra[ip,mask_prof[ind],:] |
|
|
533 | 534 | jcspectra[ip,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
|
534 | 535 | |
|
|
535 | 536 | #Guardar Resultados |
|
|
536 | 537 | self.dataOut.data_spc = jspectra |
|
|
537 | 538 | self.dataOut.data_cspc = jcspectra |
|
|
538 | 539 | |
|
|
539 | 540 | return 1 |
|
|
540 | 541 | |
|
|
541 | 542 | def setRadarFrequency(self, frequency=None): |
|
|
542 | 543 | if frequency != None: |
|
|
543 | 544 | self.dataOut.frequency = frequency |
|
|
544 | 545 | |
|
|
545 | 546 | return 1 |
|
|
546 | 547 | |
|
|
547 | 548 | def getNoise(self, minHei=None, maxHei=None, minVel=None, maxVel=None): |
|
|
548 | 549 | #validacion de rango |
|
|
549 | 550 | if minHei == None: |
|
|
550 | 551 | minHei = self.dataOut.heightList[0] |
|
|
551 | 552 | |
|
|
552 | 553 | if maxHei == None: |
|
|
553 | 554 | maxHei = self.dataOut.heightList[-1] |
|
|
554 | 555 | |
|
|
555 | 556 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|
556 | 557 | print 'minHei: %.2f is out of the heights range'%(minHei) |
|
|
557 | 558 | print 'minHei is setting to %.2f'%(self.dataOut.heightList[0]) |
|
|
558 | 559 | minHei = self.dataOut.heightList[0] |
|
|
559 | 560 | |
|
|
560 | 561 | if (maxHei > self.dataOut.heightList[-1]) or (maxHei < minHei): |
|
|
561 | 562 | print 'maxHei: %.2f is out of the heights range'%(maxHei) |
|
|
562 | 563 | print 'maxHei is setting to %.2f'%(self.dataOut.heightList[-1]) |
|
|
563 | 564 | maxHei = self.dataOut.heightList[-1] |
|
|
564 | 565 | |
|
|
565 | 566 | # validacion de velocidades |
|
|
566 | 567 | velrange = self.dataOut.getVelRange(1) |
|
|
567 | 568 | |
|
|
568 | 569 | if minVel == None: |
|
|
569 | 570 | minVel = velrange[0] |
|
|
570 | 571 | |
|
|
571 | 572 | if maxVel == None: |
|
|
572 | 573 | maxVel = velrange[-1] |
|
|
573 | 574 | |
|
|
574 | 575 | if (minVel < velrange[0]) or (minVel > maxVel): |
|
|
575 | 576 | print 'minVel: %.2f is out of the velocity range'%(minVel) |
|
|
576 | 577 | print 'minVel is setting to %.2f'%(velrange[0]) |
|
|
577 | 578 | minVel = velrange[0] |
|
|
578 | 579 | |
|
|
579 | 580 | if (maxVel > velrange[-1]) or (maxVel < minVel): |
|
|
580 | 581 | print 'maxVel: %.2f is out of the velocity range'%(maxVel) |
|
|
581 | 582 | print 'maxVel is setting to %.2f'%(velrange[-1]) |
|
|
582 | 583 | maxVel = velrange[-1] |
|
|
583 | 584 | |
|
|
584 | 585 | # seleccion de indices para rango |
|
|
585 | 586 | minIndex = 0 |
|
|
586 | 587 | maxIndex = 0 |
|
|
587 | 588 | heights = self.dataOut.heightList |
|
|
588 | 589 | |
|
|
589 | 590 | inda = numpy.where(heights >= minHei) |
|
|
590 | 591 | indb = numpy.where(heights <= maxHei) |
|
|
591 | 592 | |
|
|
592 | 593 | try: |
|
|
593 | 594 | minIndex = inda[0][0] |
|
|
594 | 595 | except: |
|
|
595 | 596 | minIndex = 0 |
|
|
596 | 597 | |
|
|
597 | 598 | try: |
|
|
598 | 599 | maxIndex = indb[0][-1] |
|
|
599 | 600 | except: |
|
|
600 | 601 | maxIndex = len(heights) |
|
|
601 | 602 | |
|
|
602 | 603 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
603 | 604 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
604 | 605 | |
|
|
605 | 606 | if (maxIndex >= self.dataOut.nHeights): |
|
|
606 | 607 | maxIndex = self.dataOut.nHeights-1 |
|
|
607 | 608 | |
|
|
608 | 609 | # seleccion de indices para velocidades |
|
|
609 | 610 | indminvel = numpy.where(velrange >= minVel) |
|
|
610 | 611 | indmaxvel = numpy.where(velrange <= maxVel) |
|
|
611 | 612 | try: |
|
|
612 | 613 | minIndexVel = indminvel[0][0] |
|
|
613 | 614 | except: |
|
|
614 | 615 | minIndexVel = 0 |
|
|
615 | 616 | |
|
|
616 | 617 | try: |
|
|
617 | 618 | maxIndexVel = indmaxvel[0][-1] |
|
|
618 | 619 | except: |
|
|
619 | 620 | maxIndexVel = len(velrange) |
|
|
620 | 621 | |
|
|
621 | 622 | #seleccion del espectro |
|
|
622 | 623 | data_spc = self.dataOut.data_spc[:,minIndexVel:maxIndexVel+1,minIndex:maxIndex+1] |
|
|
623 | 624 | #estimacion de ruido |
|
|
624 | 625 | noise = numpy.zeros(self.dataOut.nChannels) |
|
|
625 | 626 | |
|
|
626 | 627 | for channel in range(self.dataOut.nChannels): |
|
|
627 | 628 | daux = data_spc[channel,:,:] |
|
|
628 | 629 | noise[channel] = hildebrand_sekhon(daux, self.dataOut.nIncohInt) |
|
|
629 | 630 | |
|
|
630 | 631 | self.dataOut.noise_estimation = noise.copy() |
|
|
631 | 632 | |
|
|
632 | 633 | return 1 |
|
|
633 | 634 | |
|
|
634 | 635 | class IncohInt(Operation): |
|
|
635 | 636 | |
|
|
636 | 637 | |
|
|
637 | 638 | __profIndex = 0 |
|
|
638 | 639 | __withOverapping = False |
|
|
639 | 640 | |
|
|
640 | 641 | __byTime = False |
|
|
641 | 642 | __initime = None |
|
|
642 | 643 | __lastdatatime = None |
|
|
643 | 644 | __integrationtime = None |
|
|
644 | 645 | |
|
|
645 | 646 | __buffer_spc = None |
|
|
646 | 647 | __buffer_cspc = None |
|
|
647 | 648 | __buffer_dc = None |
|
|
648 | 649 | |
|
|
649 | 650 | __dataReady = False |
|
|
650 | 651 | |
|
|
651 | 652 | __timeInterval = None |
|
|
652 | 653 | |
|
|
653 | 654 | n = None |
|
|
654 | 655 | |
|
|
655 | 656 | |
|
|
656 | 657 | |
|
|
657 | 658 | def __init__(self): |
|
|
658 | 659 | |
|
|
659 | 660 | Operation.__init__(self) |
|
|
660 | 661 | # self.isConfig = False |
|
|
661 | 662 | |
|
|
662 | 663 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|
663 | 664 | """ |
|
|
664 | 665 | Set the parameters of the integration class. |
|
|
665 | 666 | |
|
|
666 | 667 | Inputs: |
|
|
667 | 668 | |
|
|
668 | 669 | n : Number of coherent integrations |
|
|
669 | 670 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
670 | 671 | overlapping : |
|
|
671 | 672 | |
|
|
672 | 673 | """ |
|
|
673 | 674 | |
|
|
674 | 675 | self.__initime = None |
|
|
675 | 676 | self.__lastdatatime = 0 |
|
|
676 | 677 | self.__buffer_spc = None |
|
|
677 | 678 | self.__buffer_cspc = None |
|
|
678 | 679 | self.__buffer_dc = None |
|
|
679 | 680 | self.__dataReady = False |
|
|
680 | 681 | |
|
|
681 | 682 | |
|
|
682 | 683 | if n == None and timeInterval == None: |
|
|
683 | 684 | raise ValueError, "n or timeInterval should be specified ..." |
|
|
684 | 685 | |
|
|
685 | 686 | if n != None: |
|
|
686 | 687 | self.n = n |
|
|
687 | 688 | self.__byTime = False |
|
|
688 | 689 | else: |
|
|
689 | 690 | self.__integrationtime = timeInterval #if (type(timeInterval)!=integer) -> change this line |
|
|
690 | 691 | self.n = 9999 |
|
|
691 | 692 | self.__byTime = True |
|
|
692 | 693 | |
|
|
693 | 694 | if overlapping: |
|
|
694 | 695 | self.__withOverapping = True |
|
|
695 | 696 | else: |
|
|
696 | 697 | self.__withOverapping = False |
|
|
697 | 698 | self.__buffer_spc = 0 |
|
|
698 | 699 | self.__buffer_cspc = 0 |
|
|
699 | 700 | self.__buffer_dc = 0 |
|
|
700 | 701 | |
|
|
701 | 702 | self.__profIndex = 0 |
|
|
702 | 703 | |
|
|
703 | 704 | def putData(self, data_spc, data_cspc, data_dc): |
|
|
704 | 705 | |
|
|
705 | 706 | """ |
|
|
706 | 707 | Add a profile to the __buffer_spc and increase in one the __profileIndex |
|
|
707 | 708 | |
|
|
708 | 709 | """ |
|
|
709 | 710 | |
|
|
710 | 711 | if not self.__withOverapping: |
|
|
711 | 712 | self.__buffer_spc += data_spc |
|
|
712 | 713 | |
|
|
713 | 714 | if data_cspc == None: |
|
|
714 | 715 | self.__buffer_cspc = None |
|
|
715 | 716 | else: |
|
|
716 | 717 | self.__buffer_cspc += data_cspc |
|
|
717 | 718 | |
|
|
718 | 719 | if data_dc == None: |
|
|
719 | 720 | self.__buffer_dc = None |
|
|
720 | 721 | else: |
|
|
721 | 722 | self.__buffer_dc += data_dc |
|
|
722 | 723 | |
|
|
723 | 724 | self.__profIndex += 1 |
|
|
724 | 725 | return |
|
|
725 | 726 | |
|
|
726 | 727 | #Overlapping data |
|
|
727 | 728 | nChannels, nFFTPoints, nHeis = data_spc.shape |
|
|
728 | 729 | data_spc = numpy.reshape(data_spc, (1, nChannels, nFFTPoints, nHeis)) |
|
|
729 | 730 | if data_cspc != None: |
|
|
730 | 731 | data_cspc = numpy.reshape(data_cspc, (1, -1, nFFTPoints, nHeis)) |
|
|
731 | 732 | if data_dc != None: |
|
|
732 | 733 | data_dc = numpy.reshape(data_dc, (1, -1, nHeis)) |
|
|
733 | 734 | |
|
|
734 | 735 | #If the buffer is empty then it takes the data value |
|
|
735 | 736 | if self.__buffer_spc == None: |
|
|
736 | 737 | self.__buffer_spc = data_spc |
|
|
737 | 738 | |
|
|
738 | 739 | if data_cspc == None: |
|
|
739 | 740 | self.__buffer_cspc = None |
|
|
740 | 741 | else: |
|
|
741 | 742 | self.__buffer_cspc += data_cspc |
|
|
742 | 743 | |
|
|
743 | 744 | if data_dc == None: |
|
|
744 | 745 | self.__buffer_dc = None |
|
|
745 | 746 | else: |
|
|
746 | 747 | self.__buffer_dc += data_dc |
|
|
747 | 748 | |
|
|
748 | 749 | self.__profIndex += 1 |
|
|
749 | 750 | return |
|
|
750 | 751 | |
|
|
751 | 752 | #If the buffer length is lower than n then stakcing the data value |
|
|
752 | 753 | if self.__profIndex < self.n: |
|
|
753 | 754 | self.__buffer_spc = numpy.vstack((self.__buffer_spc, data_spc)) |
|
|
754 | 755 | |
|
|
755 | 756 | if data_cspc != None: |
|
|
756 | 757 | self.__buffer_cspc = numpy.vstack((self.__buffer_cspc, data_cspc)) |
|
|
757 | 758 | |
|
|
758 | 759 | if data_dc != None: |
|
|
759 | 760 | self.__buffer_dc = numpy.vstack((self.__buffer_dc, data_dc)) |
|
|
760 | 761 | |
|
|
761 | 762 | self.__profIndex += 1 |
|
|
762 | 763 | return |
|
|
763 | 764 | |
|
|
764 | 765 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|
765 | 766 | self.__buffer_spc = numpy.roll(self.__buffer_spc, -1, axis=0) |
|
|
766 | 767 | self.__buffer_spc[self.n-1] = data_spc |
|
|
767 | 768 | |
|
|
768 | 769 | if data_cspc != None: |
|
|
769 | 770 | self.__buffer_cspc = numpy.roll(self.__buffer_cspc, -1, axis=0) |
|
|
770 | 771 | self.__buffer_cspc[self.n-1] = data_cspc |
|
|
771 | 772 | |
|
|
772 | 773 | if data_dc != None: |
|
|
773 | 774 | self.__buffer_dc = numpy.roll(self.__buffer_dc, -1, axis=0) |
|
|
774 | 775 | self.__buffer_dc[self.n-1] = data_dc |
|
|
775 | 776 | |
|
|
776 | 777 | self.__profIndex = self.n |
|
|
777 | 778 | return |
|
|
778 | 779 | |
|
|
779 | 780 | |
|
|
780 | 781 | def pushData(self): |
|
|
781 | 782 | """ |
|
|
782 | 783 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
783 | 784 | |
|
|
784 | 785 | Affected: |
|
|
785 | 786 | |
|
|
786 | 787 | self.__profileIndex |
|
|
787 | 788 | |
|
|
788 | 789 | """ |
|
|
789 | 790 | data_spc = None |
|
|
790 | 791 | data_cspc = None |
|
|
791 | 792 | data_dc = None |
|
|
792 | 793 | |
|
|
793 | 794 | if not self.__withOverapping: |
|
|
794 | 795 | data_spc = self.__buffer_spc |
|
|
795 | 796 | data_cspc = self.__buffer_cspc |
|
|
796 | 797 | data_dc = self.__buffer_dc |
|
|
797 | 798 | |
|
|
798 | 799 | n = self.__profIndex |
|
|
799 | 800 | |
|
|
800 | 801 | self.__buffer_spc = 0 |
|
|
801 | 802 | self.__buffer_cspc = 0 |
|
|
802 | 803 | self.__buffer_dc = 0 |
|
|
803 | 804 | self.__profIndex = 0 |
|
|
804 | 805 | |
|
|
805 | 806 | return data_spc, data_cspc, data_dc, n |
|
|
806 | 807 | |
|
|
807 | 808 | #Integration with Overlapping |
|
|
808 | 809 | data_spc = numpy.sum(self.__buffer_spc, axis=0) |
|
|
809 | 810 | |
|
|
810 | 811 | if self.__buffer_cspc != None: |
|
|
811 | 812 | data_cspc = numpy.sum(self.__buffer_cspc, axis=0) |
|
|
812 | 813 | |
|
|
813 | 814 | if self.__buffer_dc != None: |
|
|
814 | 815 | data_dc = numpy.sum(self.__buffer_dc, axis=0) |
|
|
815 | 816 | |
|
|
816 | 817 | n = self.__profIndex |
|
|
817 | 818 | |
|
|
818 | 819 | return data_spc, data_cspc, data_dc, n |
|
|
819 | 820 | |
|
|
820 | 821 | def byProfiles(self, *args): |
|
|
821 | 822 | |
|
|
822 | 823 | self.__dataReady = False |
|
|
823 | 824 | avgdata_spc = None |
|
|
824 | 825 | avgdata_cspc = None |
|
|
825 | 826 | avgdata_dc = None |
|
|
826 | 827 | # n = None |
|
|
827 | 828 | |
|
|
828 | 829 | self.putData(*args) |
|
|
829 | 830 | |
|
|
830 | 831 | if self.__profIndex == self.n: |
|
|
831 | 832 | |
|
|
832 | 833 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|
833 | 834 | self.__dataReady = True |
|
|
834 | 835 | |
|
|
835 | 836 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
836 | 837 | |
|
|
837 | 838 | def byTime(self, datatime, *args): |
|
|
838 | 839 | |
|
|
839 | 840 | self.__dataReady = False |
|
|
840 | 841 | avgdata_spc = None |
|
|
841 | 842 | avgdata_cspc = None |
|
|
842 | 843 | avgdata_dc = None |
|
|
843 | 844 | n = None |
|
|
844 | 845 | |
|
|
845 | 846 | self.putData(*args) |
|
|
846 | 847 | |
|
|
847 | 848 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
848 | 849 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|
849 | 850 | self.n = n |
|
|
850 | 851 | self.__dataReady = True |
|
|
851 | 852 | |
|
|
852 | 853 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
853 | 854 | |
|
|
854 | 855 | def integrate(self, datatime, *args): |
|
|
855 | 856 | |
|
|
856 | 857 | if self.__initime == None: |
|
|
857 | 858 | self.__initime = datatime |
|
|
858 | 859 | |
|
|
859 | 860 | if self.__byTime: |
|
|
860 | 861 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime(datatime, *args) |
|
|
861 | 862 | else: |
|
|
862 | 863 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byProfiles(*args) |
|
|
863 | 864 | |
|
|
864 | 865 | self.__lastdatatime = datatime |
|
|
865 | 866 | |
|
|
866 | 867 | if avgdata_spc == None: |
|
|
867 | 868 | return None, None, None, None |
|
|
868 | 869 | |
|
|
869 | 870 | avgdatatime = self.__initime |
|
|
870 | 871 | try: |
|
|
871 | 872 | self.__timeInterval = (self.__lastdatatime - self.__initime)/(self.n - 1) |
|
|
872 | 873 | except: |
|
|
873 | 874 | self.__timeInterval = self.__lastdatatime - self.__initime |
|
|
874 | 875 | |
|
|
875 | 876 | deltatime = datatime -self.__lastdatatime |
|
|
876 | 877 | |
|
|
877 | 878 | if not self.__withOverapping: |
|
|
878 | 879 | self.__initime = datatime |
|
|
879 | 880 | else: |
|
|
880 | 881 | self.__initime += deltatime |
|
|
881 | 882 | |
|
|
882 | 883 | return avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
883 | 884 | |
|
|
884 | 885 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): |
|
|
885 | 886 | |
|
|
886 | 887 | if n==1: |
|
|
887 | 888 | dataOut.flagNoData = False |
|
|
888 | 889 | return |
|
|
889 | 890 | |
|
|
890 | 891 | if not self.isConfig: |
|
|
891 | 892 | self.setup(n, timeInterval, overlapping) |
|
|
892 | 893 | self.isConfig = True |
|
|
893 | 894 | |
|
|
894 | 895 | avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc = self.integrate(dataOut.utctime, |
|
|
895 | 896 | dataOut.data_spc, |
|
|
896 | 897 | dataOut.data_cspc, |
|
|
897 | 898 | dataOut.data_dc) |
|
|
898 | 899 | |
|
|
899 | 900 | # dataOut.timeInterval *= n |
|
|
900 | 901 | dataOut.flagNoData = True |
|
|
901 | 902 | |
|
|
902 | 903 | if self.__dataReady: |
|
|
903 | 904 | |
|
|
904 | 905 | dataOut.data_spc = avgdata_spc |
|
|
905 | 906 | dataOut.data_cspc = avgdata_cspc |
|
|
906 | 907 | dataOut.data_dc = avgdata_dc |
|
|
907 | 908 | |
|
|
908 | 909 | dataOut.nIncohInt *= self.n |
|
|
909 | 910 | dataOut.utctime = avgdatatime |
|
|
910 | 911 | #dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt * dataOut.nIncohInt * dataOut.nFFTPoints |
|
|
911 | 912 | dataOut.timeInterval = self.__timeInterval*self.n |
|
|
912 | 913 | dataOut.flagNoData = False |
|
|
913 | 914 | |
|
|
914 | 915 | class ProfileConcat(Operation): |
|
|
915 | 916 | |
|
|
916 | 917 | isConfig = False |
|
|
917 | 918 | buffer = None |
|
|
918 | 919 | |
|
|
919 | 920 | def __init__(self): |
|
|
920 | 921 | |
|
|
921 | 922 | Operation.__init__(self) |
|
|
922 | 923 | self.profileIndex = 0 |
|
|
923 | 924 | |
|
|
924 | 925 | def reset(self): |
|
|
925 | 926 | self.buffer = numpy.zeros_like(self.buffer) |
|
|
926 | 927 | self.start_index = 0 |
|
|
927 | 928 | self.times = 1 |
|
|
928 | 929 | |
|
|
929 | 930 | def setup(self, data, m, n=1): |
|
|
930 | 931 | self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0])) |
|
|
931 | 932 | self.profiles = data.shape[1] |
|
|
932 | 933 | self.start_index = 0 |
|
|
933 | 934 | self.times = 1 |
|
|
934 | 935 | |
|
|
935 | 936 | def concat(self, data): |
|
|
936 | 937 | |
|
|
937 | 938 | self.buffer[:,self.start_index:self.profiles*self.times] = data.copy() |
|
|
938 | 939 | self.start_index = self.start_index + self.profiles |
|
|
939 | 940 | |
|
|
940 | 941 | def run(self, dataOut, m): |
|
|
941 | 942 | |
|
|
942 | 943 | dataOut.flagNoData = True |
|
|
943 | 944 | |
|
|
944 | 945 | if not self.isConfig: |
|
|
945 | 946 | self.setup(dataOut.data, m, 1) |
|
|
946 | 947 | self.isConfig = True |
|
|
947 | 948 | |
|
|
948 | 949 | self.concat(dataOut.data) |
|
|
949 | 950 | self.times += 1 |
|
|
950 | 951 | if self.times > m: |
|
|
951 | 952 | dataOut.data = self.buffer |
|
|
952 | 953 | self.reset() |
|
|
953 | 954 | dataOut.flagNoData = False |
|
|
954 | 955 | # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas |
|
|
955 | 956 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
956 | 957 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * 5 |
|
|
957 | 958 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) |
|
|
958 | 959 | |
|
|
959 | 960 | class ProfileSelector(Operation): |
|
|
960 | 961 | |
|
|
961 | 962 | profileIndex = None |
|
|
962 | 963 | # Tamanho total de los perfiles |
|
|
963 | 964 | nProfiles = None |
|
|
964 | 965 | |
|
|
965 | 966 | def __init__(self): |
|
|
966 | 967 | |
|
|
967 | 968 | Operation.__init__(self) |
|
|
968 | 969 | self.profileIndex = 0 |
|
|
969 | 970 | |
|
|
970 | 971 | def incIndex(self): |
|
|
971 | 972 | self.profileIndex += 1 |
|
|
972 | 973 | |
|
|
973 | 974 | if self.profileIndex >= self.nProfiles: |
|
|
974 | 975 | self.profileIndex = 0 |
|
|
975 | 976 | |
|
|
976 | 977 | def isProfileInRange(self, minIndex, maxIndex): |
|
|
977 | 978 | |
|
|
978 | 979 | if self.profileIndex < minIndex: |
|
|
979 | 980 | return False |
|
|
980 | 981 | |
|
|
981 | 982 | if self.profileIndex > maxIndex: |
|
|
982 | 983 | return False |
|
|
983 | 984 | |
|
|
984 | 985 | return True |
|
|
985 | 986 | |
|
|
986 | 987 | def isProfileInList(self, profileList): |
|
|
987 | 988 | |
|
|
988 | 989 | if self.profileIndex not in profileList: |
|
|
989 | 990 | return False |
|
|
990 | 991 | |
|
|
991 | 992 | return True |
|
|
992 | 993 | |
|
|
993 | 994 | def run(self, dataOut, profileList=None, profileRangeList=None, beam=None): |
|
|
994 | 995 | |
|
|
995 | 996 | dataOut.flagNoData = True |
|
|
996 | 997 | self.nProfiles = dataOut.nProfiles |
|
|
997 | 998 | |
|
|
998 | 999 | if profileList != None: |
|
|
999 | 1000 | if self.isProfileInList(profileList): |
|
|
1000 | 1001 | dataOut.flagNoData = False |
|
|
1001 | 1002 | |
|
|
1002 | 1003 | self.incIndex() |
|
|
1003 | 1004 | return 1 |
|
|
1004 | 1005 | |
|
|
1005 | 1006 | |
|
|
1006 | 1007 | elif profileRangeList != None: |
|
|
1007 | 1008 | minIndex = profileRangeList[0] |
|
|
1008 | 1009 | maxIndex = profileRangeList[1] |
|
|
1009 | 1010 | if self.isProfileInRange(minIndex, maxIndex): |
|
|
1010 | 1011 | dataOut.flagNoData = False |
|
|
1011 | 1012 | |
|
|
1012 | 1013 | self.incIndex() |
|
|
1013 | 1014 | return 1 |
|
|
1014 | 1015 | elif beam != None: |
|
|
1015 | 1016 | if self.isProfileInList(dataOut.beamRangeDict[beam]): |
|
|
1016 | 1017 | dataOut.flagNoData = False |
|
|
1017 | 1018 | |
|
|
1018 | 1019 | self.incIndex() |
|
|
1019 | 1020 | return 1 |
|
|
1020 | 1021 | |
|
|
1021 | 1022 | else: |
|
|
1022 | 1023 | raise ValueError, "ProfileSelector needs profileList or profileRangeList" |
|
|
1023 | 1024 | |
|
|
1024 | 1025 | return 0 |
| @@ -1,518 +1,524 | |||
|
|
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 | self.dataOut.copy(self.dataIn) | |
|
|
18 | if self.dataIn.type == 'AMISR': | |
|
|
19 | self.__updateObjFromAmisrInput() | |
|
|
20 | ||
|
|
21 | if self.dataIn.type == 'Voltage': | |
|
|
22 | self.dataOut.copy(self.dataIn) | |
|
|
23 | ||
|
|
24 | # self.dataOut.copy(self.dataIn) | |
|
|
19 | 25 | |
|
|
20 |
|
|
|
|
21 |
|
|
|
|
22 |
|
|
|
|
23 |
|
|
|
|
24 |
|
|
|
|
25 |
|
|
|
|
26 |
|
|
|
|
27 |
|
|
|
|
28 |
|
|
|
|
29 |
|
|
|
|
30 |
|
|
|
|
31 |
|
|
|
|
32 |
|
|
|
|
33 |
|
|
|
|
34 |
|
|
|
|
35 |
|
|
|
|
36 |
|
|
|
|
37 |
|
|
|
|
26 | def __updateObjFromAmisrInput(self): | |
|
|
27 | ||
|
|
28 | self.dataOut.timeZone = self.dataIn.timeZone | |
|
|
29 | self.dataOut.dstFlag = self.dataIn.dstFlag | |
|
|
30 | self.dataOut.errorCount = self.dataIn.errorCount | |
|
|
31 | self.dataOut.useLocalTime = self.dataIn.useLocalTime | |
|
|
32 | ||
|
|
33 | self.dataOut.flagNoData = self.dataIn.flagNoData | |
|
|
34 | self.dataOut.data = self.dataIn.data | |
|
|
35 | self.dataOut.utctime = self.dataIn.utctime | |
|
|
36 | self.dataOut.channelList = self.dataIn.channelList | |
|
|
37 | self.dataOut.timeInterval = self.dataIn.timeInterval | |
|
|
38 | self.dataOut.heightList = self.dataIn.heightList | |
|
|
39 | self.dataOut.nProfiles = self.dataIn.nProfiles | |
|
|
40 | ||
|
|
41 | self.dataOut.nCohInt = self.dataIn.nCohInt | |
|
|
42 | self.dataOut.ippSeconds = self.dataIn.ippSeconds | |
|
|
43 | self.dataOut.frequency = self.dataIn.frequency | |
|
|
38 | 44 | # |
|
|
39 | 45 | # pass# |
|
|
40 | 46 | # |
|
|
41 | 47 | # def init(self): |
|
|
42 | 48 | # |
|
|
43 | 49 | # |
|
|
44 | 50 | # if self.dataIn.type == 'AMISR': |
|
|
45 | 51 | # self.__updateObjFromAmisrInput() |
|
|
46 | 52 | # |
|
|
47 | 53 | # if self.dataIn.type == 'Voltage': |
|
|
48 | 54 | # self.dataOut.copy(self.dataIn) |
|
|
49 | 55 | # # No necesita copiar en cada init() los atributos de dataIn |
|
|
50 | 56 | # # la copia deberia hacerse por cada nuevo bloque de datos |
|
|
51 | 57 | |
|
|
52 | 58 | def selectChannels(self, channelList): |
|
|
53 | 59 | |
|
|
54 | 60 | channelIndexList = [] |
|
|
55 | 61 | |
|
|
56 | 62 | for channel in channelList: |
|
|
57 | 63 | index = self.dataOut.channelList.index(channel) |
|
|
58 | 64 | channelIndexList.append(index) |
|
|
59 | 65 | |
|
|
60 | 66 | self.selectChannelsByIndex(channelIndexList) |
|
|
61 | 67 | |
|
|
62 | 68 | def selectChannelsByIndex(self, channelIndexList): |
|
|
63 | 69 | """ |
|
|
64 | 70 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
65 | 71 | |
|
|
66 | 72 | Input: |
|
|
67 | 73 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
68 | 74 | |
|
|
69 | 75 | Affected: |
|
|
70 | 76 | self.dataOut.data |
|
|
71 | 77 | self.dataOut.channelIndexList |
|
|
72 | 78 | self.dataOut.nChannels |
|
|
73 | 79 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
|
74 | 80 | self.dataOut.systemHeaderObj.numChannels |
|
|
75 | 81 | self.dataOut.m_ProcessingHeader.blockSize |
|
|
76 | 82 | |
|
|
77 | 83 | Return: |
|
|
78 | 84 | None |
|
|
79 | 85 | """ |
|
|
80 | 86 | |
|
|
81 | 87 | for channelIndex in channelIndexList: |
|
|
82 | 88 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
83 | 89 | print channelIndexList |
|
|
84 | 90 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
|
85 | 91 | |
|
|
86 | 92 | # nChannels = len(channelIndexList) |
|
|
87 | 93 | |
|
|
88 | 94 | data = self.dataOut.data[channelIndexList,:] |
|
|
89 | 95 | |
|
|
90 | 96 | self.dataOut.data = data |
|
|
91 | 97 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
92 | 98 | # self.dataOut.nChannels = nChannels |
|
|
93 | 99 | |
|
|
94 | 100 | return 1 |
|
|
95 | 101 | |
|
|
96 | 102 | def selectHeights(self, minHei=None, maxHei=None): |
|
|
97 | 103 | """ |
|
|
98 | 104 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|
99 | 105 | minHei <= height <= maxHei |
|
|
100 | 106 | |
|
|
101 | 107 | Input: |
|
|
102 | 108 | minHei : valor minimo de altura a considerar |
|
|
103 | 109 | maxHei : valor maximo de altura a considerar |
|
|
104 | 110 | |
|
|
105 | 111 | Affected: |
|
|
106 | 112 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|
107 | 113 | |
|
|
108 | 114 | Return: |
|
|
109 | 115 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
110 | 116 | """ |
|
|
111 | 117 | |
|
|
112 | 118 | if minHei == None: |
|
|
113 | 119 | minHei = self.dataOut.heightList[0] |
|
|
114 | 120 | |
|
|
115 | 121 | if maxHei == None: |
|
|
116 | 122 | maxHei = self.dataOut.heightList[-1] |
|
|
117 | 123 | |
|
|
118 | 124 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|
119 | 125 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|
120 | 126 | |
|
|
121 | 127 | |
|
|
122 | 128 | if (maxHei > self.dataOut.heightList[-1]): |
|
|
123 | 129 | maxHei = self.dataOut.heightList[-1] |
|
|
124 | 130 | # raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|
125 | 131 | |
|
|
126 | 132 | minIndex = 0 |
|
|
127 | 133 | maxIndex = 0 |
|
|
128 | 134 | heights = self.dataOut.heightList |
|
|
129 | 135 | |
|
|
130 | 136 | inda = numpy.where(heights >= minHei) |
|
|
131 | 137 | indb = numpy.where(heights <= maxHei) |
|
|
132 | 138 | |
|
|
133 | 139 | try: |
|
|
134 | 140 | minIndex = inda[0][0] |
|
|
135 | 141 | except: |
|
|
136 | 142 | minIndex = 0 |
|
|
137 | 143 | |
|
|
138 | 144 | try: |
|
|
139 | 145 | maxIndex = indb[0][-1] |
|
|
140 | 146 | except: |
|
|
141 | 147 | maxIndex = len(heights) |
|
|
142 | 148 | |
|
|
143 | 149 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
|
144 | 150 | |
|
|
145 | 151 | return 1 |
|
|
146 | 152 | |
|
|
147 | 153 | |
|
|
148 | 154 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|
149 | 155 | """ |
|
|
150 | 156 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|
151 | 157 | minIndex <= index <= maxIndex |
|
|
152 | 158 | |
|
|
153 | 159 | Input: |
|
|
154 | 160 | minIndex : valor de indice minimo de altura a considerar |
|
|
155 | 161 | maxIndex : valor de indice maximo de altura a considerar |
|
|
156 | 162 | |
|
|
157 | 163 | Affected: |
|
|
158 | 164 | self.dataOut.data |
|
|
159 | 165 | self.dataOut.heightList |
|
|
160 | 166 | |
|
|
161 | 167 | Return: |
|
|
162 | 168 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
163 | 169 | """ |
|
|
164 | 170 | |
|
|
165 | 171 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
166 | 172 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
167 | 173 | |
|
|
168 | 174 | if (maxIndex >= self.dataOut.nHeights): |
|
|
169 | 175 | maxIndex = self.dataOut.nHeights-1 |
|
|
170 | 176 | # raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
171 | 177 | |
|
|
172 | 178 | # nHeights = maxIndex - minIndex + 1 |
|
|
173 | 179 | |
|
|
174 | 180 | #voltage |
|
|
175 | 181 | data = self.dataOut.data[:,minIndex:maxIndex+1] |
|
|
176 | 182 | |
|
|
177 | 183 | # firstHeight = self.dataOut.heightList[minIndex] |
|
|
178 | 184 | |
|
|
179 | 185 | self.dataOut.data = data |
|
|
180 | 186 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|
181 | 187 | |
|
|
182 | 188 | return 1 |
|
|
183 | 189 | |
|
|
184 | 190 | |
|
|
185 | 191 | def filterByHeights(self, window): |
|
|
186 | 192 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
187 | 193 | |
|
|
188 | 194 | if window == None: |
|
|
189 | 195 | window = (self.dataOut.radarControllerHeaderObj.txA/self.dataOut.radarControllerHeaderObj.nBaud) / deltaHeight |
|
|
190 | 196 | |
|
|
191 | 197 | newdelta = deltaHeight * window |
|
|
192 | 198 | r = self.dataOut.data.shape[1] % window |
|
|
193 | 199 | buffer = self.dataOut.data[:,0:self.dataOut.data.shape[1]-r] |
|
|
194 | 200 | buffer = buffer.reshape(self.dataOut.data.shape[0],self.dataOut.data.shape[1]/window,window) |
|
|
195 | 201 | buffer = numpy.sum(buffer,2) |
|
|
196 | 202 | self.dataOut.data = buffer |
|
|
197 | 203 | self.dataOut.heightList = numpy.arange(self.dataOut.heightList[0],newdelta*(self.dataOut.nHeights-r)/window,newdelta) |
|
|
198 | 204 | self.dataOut.windowOfFilter = window |
|
|
199 | 205 | |
|
|
200 | 206 | def deFlip(self): |
|
|
201 | 207 | self.dataOut.data *= self.flip |
|
|
202 | 208 | self.flip *= -1. |
|
|
203 | 209 | |
|
|
204 | 210 | def setRadarFrequency(self, frequency=None): |
|
|
205 | 211 | if frequency != None: |
|
|
206 | 212 | self.dataOut.frequency = frequency |
|
|
207 | 213 | |
|
|
208 | 214 | return 1 |
|
|
209 | 215 | |
|
|
210 | 216 | class CohInt(Operation): |
|
|
211 | 217 | |
|
|
212 | 218 | isConfig = False |
|
|
213 | 219 | |
|
|
214 | 220 | __profIndex = 0 |
|
|
215 | 221 | __withOverapping = False |
|
|
216 | 222 | |
|
|
217 | 223 | __byTime = False |
|
|
218 | 224 | __initime = None |
|
|
219 | 225 | __lastdatatime = None |
|
|
220 | 226 | __integrationtime = None |
|
|
221 | 227 | |
|
|
222 | 228 | __buffer = None |
|
|
223 | 229 | |
|
|
224 | 230 | __dataReady = False |
|
|
225 | 231 | |
|
|
226 | 232 | n = None |
|
|
227 | 233 | |
|
|
228 | 234 | |
|
|
229 | 235 | def __init__(self): |
|
|
230 | 236 | |
|
|
231 | 237 | Operation.__init__(self) |
|
|
232 | 238 | |
|
|
233 | 239 | # self.isConfig = False |
|
|
234 | 240 | |
|
|
235 | 241 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|
236 | 242 | """ |
|
|
237 | 243 | Set the parameters of the integration class. |
|
|
238 | 244 | |
|
|
239 | 245 | Inputs: |
|
|
240 | 246 | |
|
|
241 | 247 | n : Number of coherent integrations |
|
|
242 | 248 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
243 | 249 | overlapping : |
|
|
244 | 250 | |
|
|
245 | 251 | """ |
|
|
246 | 252 | |
|
|
247 | 253 | self.__initime = None |
|
|
248 | 254 | self.__lastdatatime = 0 |
|
|
249 | 255 | self.__buffer = None |
|
|
250 | 256 | self.__dataReady = False |
|
|
251 | 257 | |
|
|
252 | 258 | |
|
|
253 | 259 | if n == None and timeInterval == None: |
|
|
254 | 260 | raise ValueError, "n or timeInterval should be specified ..." |
|
|
255 | 261 | |
|
|
256 | 262 | if n != None: |
|
|
257 | 263 | self.n = n |
|
|
258 | 264 | self.__byTime = False |
|
|
259 | 265 | else: |
|
|
260 | 266 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line |
|
|
261 | 267 | self.n = 9999 |
|
|
262 | 268 | self.__byTime = True |
|
|
263 | 269 | |
|
|
264 | 270 | if overlapping: |
|
|
265 | 271 | self.__withOverapping = True |
|
|
266 | 272 | self.__buffer = None |
|
|
267 | 273 | else: |
|
|
268 | 274 | self.__withOverapping = False |
|
|
269 | 275 | self.__buffer = 0 |
|
|
270 | 276 | |
|
|
271 | 277 | self.__profIndex = 0 |
|
|
272 | 278 | |
|
|
273 | 279 | def putData(self, data): |
|
|
274 | 280 | |
|
|
275 | 281 | """ |
|
|
276 | 282 | Add a profile to the __buffer and increase in one the __profileIndex |
|
|
277 | 283 | |
|
|
278 | 284 | """ |
|
|
279 | 285 | |
|
|
280 | 286 | if not self.__withOverapping: |
|
|
281 | 287 | self.__buffer += data.copy() |
|
|
282 | 288 | self.__profIndex += 1 |
|
|
283 | 289 | return |
|
|
284 | 290 | |
|
|
285 | 291 | #Overlapping data |
|
|
286 | 292 | nChannels, nHeis = data.shape |
|
|
287 | 293 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
|
288 | 294 | |
|
|
289 | 295 | #If the buffer is empty then it takes the data value |
|
|
290 | 296 | if self.__buffer == None: |
|
|
291 | 297 | self.__buffer = data |
|
|
292 | 298 | self.__profIndex += 1 |
|
|
293 | 299 | return |
|
|
294 | 300 | |
|
|
295 | 301 | #If the buffer length is lower than n then stakcing the data value |
|
|
296 | 302 | if self.__profIndex < self.n: |
|
|
297 | 303 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
|
298 | 304 | self.__profIndex += 1 |
|
|
299 | 305 | return |
|
|
300 | 306 | |
|
|
301 | 307 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|
302 | 308 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
|
303 | 309 | self.__buffer[self.n-1] = data |
|
|
304 | 310 | self.__profIndex = self.n |
|
|
305 | 311 | return |
|
|
306 | 312 | |
|
|
307 | 313 | |
|
|
308 | 314 | def pushData(self): |
|
|
309 | 315 | """ |
|
|
310 | 316 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
311 | 317 | |
|
|
312 | 318 | Affected: |
|
|
313 | 319 | |
|
|
314 | 320 | self.__profileIndex |
|
|
315 | 321 | |
|
|
316 | 322 | """ |
|
|
317 | 323 | |
|
|
318 | 324 | if not self.__withOverapping: |
|
|
319 | 325 | data = self.__buffer |
|
|
320 | 326 | n = self.__profIndex |
|
|
321 | 327 | |
|
|
322 | 328 | self.__buffer = 0 |
|
|
323 | 329 | self.__profIndex = 0 |
|
|
324 | 330 | |
|
|
325 | 331 | return data, n |
|
|
326 | 332 | |
|
|
327 | 333 | #Integration with Overlapping |
|
|
328 | 334 | data = numpy.sum(self.__buffer, axis=0) |
|
|
329 | 335 | n = self.__profIndex |
|
|
330 | 336 | |
|
|
331 | 337 | return data, n |
|
|
332 | 338 | |
|
|
333 | 339 | def byProfiles(self, data): |
|
|
334 | 340 | |
|
|
335 | 341 | self.__dataReady = False |
|
|
336 | 342 | avgdata = None |
|
|
337 | 343 | # n = None |
|
|
338 | 344 | |
|
|
339 | 345 | self.putData(data) |
|
|
340 | 346 | |
|
|
341 | 347 | if self.__profIndex == self.n: |
|
|
342 | 348 | |
|
|
343 | 349 | avgdata, n = self.pushData() |
|
|
344 | 350 | self.__dataReady = True |
|
|
345 | 351 | |
|
|
346 | 352 | return avgdata |
|
|
347 | 353 | |
|
|
348 | 354 | def byTime(self, data, datatime): |
|
|
349 | 355 | |
|
|
350 | 356 | self.__dataReady = False |
|
|
351 | 357 | avgdata = None |
|
|
352 | 358 | n = None |
|
|
353 | 359 | |
|
|
354 | 360 | self.putData(data) |
|
|
355 | 361 | |
|
|
356 | 362 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
357 | 363 | avgdata, n = self.pushData() |
|
|
358 | 364 | self.n = n |
|
|
359 | 365 | self.__dataReady = True |
|
|
360 | 366 | |
|
|
361 | 367 | return avgdata |
|
|
362 | 368 | |
|
|
363 | 369 | def integrate(self, data, datatime=None): |
|
|
364 | 370 | |
|
|
365 | 371 | if self.__initime == None: |
|
|
366 | 372 | self.__initime = datatime |
|
|
367 | 373 | |
|
|
368 | 374 | if self.__byTime: |
|
|
369 | 375 | avgdata = self.byTime(data, datatime) |
|
|
370 | 376 | else: |
|
|
371 | 377 | avgdata = self.byProfiles(data) |
|
|
372 | 378 | |
|
|
373 | 379 | |
|
|
374 | 380 | self.__lastdatatime = datatime |
|
|
375 | 381 | |
|
|
376 | 382 | if avgdata == None: |
|
|
377 | 383 | return None, None |
|
|
378 | 384 | |
|
|
379 | 385 | avgdatatime = self.__initime |
|
|
380 | 386 | |
|
|
381 | 387 | deltatime = datatime -self.__lastdatatime |
|
|
382 | 388 | |
|
|
383 | 389 | if not self.__withOverapping: |
|
|
384 | 390 | self.__initime = datatime |
|
|
385 | 391 | else: |
|
|
386 | 392 | self.__initime += deltatime |
|
|
387 | 393 | |
|
|
388 | 394 | return avgdata, avgdatatime |
|
|
389 | 395 | |
|
|
390 | 396 | def run(self, dataOut, **kwargs): |
|
|
391 | 397 | |
|
|
392 | 398 | if not self.isConfig: |
|
|
393 | 399 | self.setup(**kwargs) |
|
|
394 | 400 | self.isConfig = True |
|
|
395 | 401 | |
|
|
396 | 402 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) |
|
|
397 | 403 | |
|
|
398 | 404 | # dataOut.timeInterval *= n |
|
|
399 | 405 | dataOut.flagNoData = True |
|
|
400 | 406 | |
|
|
401 | 407 | if self.__dataReady: |
|
|
402 | 408 | dataOut.data = avgdata |
|
|
403 | 409 | dataOut.nCohInt *= self.n |
|
|
404 | 410 | dataOut.utctime = avgdatatime |
|
|
405 | 411 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt |
|
|
406 | 412 | dataOut.flagNoData = False |
|
|
407 | 413 | |
|
|
408 | 414 | class Decoder(Operation): |
|
|
409 | 415 | |
|
|
410 | 416 | isConfig = False |
|
|
411 | 417 | __profIndex = 0 |
|
|
412 | 418 | |
|
|
413 | 419 | code = None |
|
|
414 | 420 | |
|
|
415 | 421 | nCode = None |
|
|
416 | 422 | nBaud = None |
|
|
417 | 423 | |
|
|
418 | 424 | def __init__(self): |
|
|
419 | 425 | |
|
|
420 | 426 | Operation.__init__(self) |
|
|
421 | 427 | # self.isConfig = False |
|
|
422 | 428 | |
|
|
423 | 429 | def setup(self, code, shape): |
|
|
424 | 430 | |
|
|
425 | 431 | self.__profIndex = 0 |
|
|
426 | 432 | |
|
|
427 | 433 | self.code = code |
|
|
428 | 434 | |
|
|
429 | 435 | self.nCode = len(code) |
|
|
430 | 436 | self.nBaud = len(code[0]) |
|
|
431 | 437 | |
|
|
432 | 438 | self.__nChannels, self.__nHeis = shape |
|
|
433 | 439 | |
|
|
434 | 440 | __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex) |
|
|
435 | 441 | |
|
|
436 | 442 | __codeBuffer[:,0:self.nBaud] = self.code |
|
|
437 | 443 | |
|
|
438 | 444 | self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1)) |
|
|
439 | 445 | |
|
|
440 | 446 | self.ndatadec = self.__nHeis - self.nBaud + 1 |
|
|
441 | 447 | |
|
|
442 | 448 | self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex) |
|
|
443 | 449 | |
|
|
444 | 450 | def convolutionInFreq(self, data): |
|
|
445 | 451 | |
|
|
446 | 452 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|
447 | 453 | |
|
|
448 | 454 | fft_data = numpy.fft.fft(data, axis=1) |
|
|
449 | 455 | |
|
|
450 | 456 | conv = fft_data*fft_code |
|
|
451 | 457 | |
|
|
452 | 458 | data = numpy.fft.ifft(conv,axis=1) |
|
|
453 | 459 | |
|
|
454 | 460 | datadec = data[:,:-self.nBaud+1] |
|
|
455 | 461 | |
|
|
456 | 462 | return datadec |
|
|
457 | 463 | |
|
|
458 | 464 | def convolutionInFreqOpt(self, data): |
|
|
459 | 465 | |
|
|
460 | 466 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|
461 | 467 | |
|
|
462 | 468 | data = cfunctions.decoder(fft_code, data) |
|
|
463 | 469 | |
|
|
464 | 470 | datadec = data[:,:-self.nBaud+1] |
|
|
465 | 471 | |
|
|
466 | 472 | return datadec |
|
|
467 | 473 | |
|
|
468 | 474 | def convolutionInTime(self, data): |
|
|
469 | 475 | |
|
|
470 | 476 | code = self.code[self.__profIndex] |
|
|
471 | 477 | |
|
|
472 | 478 | for i in range(self.__nChannels): |
|
|
473 | 479 | self.datadecTime[i,:] = numpy.correlate(data[i,:], code, mode='valid') |
|
|
474 | 480 | |
|
|
475 | 481 | return self.datadecTime |
|
|
476 | 482 | |
|
|
477 | 483 | def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0): |
|
|
478 | 484 | |
|
|
479 | 485 | if code == None: |
|
|
480 | 486 | code = dataOut.code |
|
|
481 | 487 | else: |
|
|
482 | 488 | code = numpy.array(code).reshape(nCode,nBaud) |
|
|
483 | 489 | dataOut.code = code |
|
|
484 | 490 | dataOut.nCode = nCode |
|
|
485 | 491 | dataOut.nBaud = nBaud |
|
|
486 | 492 | dataOut.radarControllerHeaderObj.code = code |
|
|
487 | 493 | dataOut.radarControllerHeaderObj.nCode = nCode |
|
|
488 | 494 | dataOut.radarControllerHeaderObj.nBaud = nBaud |
|
|
489 | 495 | |
|
|
490 | 496 | |
|
|
491 | 497 | if not self.isConfig: |
|
|
492 | 498 | |
|
|
493 | 499 | self.setup(code, dataOut.data.shape) |
|
|
494 | 500 | self.isConfig = True |
|
|
495 | 501 | |
|
|
496 | 502 | if mode == 0: |
|
|
497 | 503 | datadec = self.convolutionInTime(dataOut.data) |
|
|
498 | 504 | |
|
|
499 | 505 | if mode == 1: |
|
|
500 | 506 | datadec = self.convolutionInFreq(dataOut.data) |
|
|
501 | 507 | |
|
|
502 | 508 | if mode == 2: |
|
|
503 | 509 | datadec = self.convolutionInFreqOpt(dataOut.data) |
|
|
504 | 510 | |
|
|
505 | 511 | dataOut.data = datadec |
|
|
506 | 512 | |
|
|
507 | 513 | dataOut.heightList = dataOut.heightList[0:self.ndatadec] |
|
|
508 | 514 | |
|
|
509 | 515 | dataOut.flagDecodeData = True #asumo q la data no esta decodificada |
|
|
510 | 516 | |
|
|
511 | 517 | if self.__profIndex == self.nCode-1: |
|
|
512 | 518 | self.__profIndex = 0 |
|
|
513 | 519 | return 1 |
|
|
514 | 520 | |
|
|
515 | 521 | self.__profIndex += 1 |
|
|
516 | 522 | |
|
|
517 | 523 | return 1 |
|
|
518 | 524 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip |
| @@ -1,3 +1,4 | |||
|
|
1 | 1 | from jroproc_voltage import * |
|
|
2 | 2 | from jroproc_spectra import * |
|
|
3 | from jroproc_heispectra import * No newline at end of file | |
|
|
3 | from jroproc_heispectra import * | |
|
|
4 | from jroproc_amisr import * No newline at end of file | |
| @@ -1,79 +1,79 | |||
|
|
1 | 1 | import os, sys |
|
|
2 | 2 | |
|
|
3 | 3 | path = os.path.split(os.getcwd())[0] |
|
|
4 | 4 | sys.path.append(path) |
|
|
5 | 5 | |
|
|
6 | 6 | from controller import * |
|
|
7 | 7 | |
|
|
8 | 8 | desc = "AMISR Experiment" |
|
|
9 | 9 | |
|
|
10 | 10 | filename = "amisr_reader.xml" |
|
|
11 | 11 | |
|
|
12 | 12 | controllerObj = Project() |
|
|
13 | 13 | |
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14 | 14 | controllerObj.setup(id = '191', name='test01', description=desc) |
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15 | 15 | |
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16 | 16 | path = os.path.join(os.environ['HOME'],'Documents/amisr') |
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17 | 17 | |
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18 | 18 | figpath = os.path.join(os.environ['HOME'],'Pictures/amisr') |
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19 | 19 | |
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20 | readUnitConfObj = controllerObj.addReadUnit(datatype='AMISR', | |
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20 | readUnitConfObj = controllerObj.addReadUnit(datatype='AMISRReader', | |
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21 | 21 | path=path, |
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22 | 22 | startDate='2014/08/18', |
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23 | 23 | endDate='2014/08/18', |
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24 | 24 | startTime='00:00:00', |
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25 | 25 | endTime='23:59:59', |
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26 | 26 | walk=1) |
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27 | 27 | |
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28 | 28 | #AMISR Processing Unit |
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29 | procUnitAMISRBeam0 = controllerObj.addProcUnit(datatype='AMISR', inputId=readUnitConfObj.getId()) | |
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29 | procUnitAMISRBeam0 = controllerObj.addProcUnit(datatype='AMISRProc', inputId=readUnitConfObj.getId()) | |
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30 | 30 | |
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31 | 31 | #Beam Selector |
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32 | 32 | opObj11 = procUnitAMISRBeam0.addOperation(name='BeamSelector', optype='other') |
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33 | 33 | opObj11.addParameter(name='beam', value='0', format='int') |
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34 | 34 | |
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35 | 35 | #Voltage Processing Unit |
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36 | procUnitConfObjBeam0 = controllerObj.addProcUnit(datatype='Voltage', inputId=procUnitAMISRBeam0.getId()) | |
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36 | procUnitConfObjBeam0 = controllerObj.addProcUnit(datatype='VoltageProc', inputId=procUnitAMISRBeam0.getId()) | |
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37 | 37 | #Coherent Integration |
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38 | 38 | opObj11 = procUnitConfObjBeam0.addOperation(name='CohInt', optype='other') |
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39 | 39 | opObj11.addParameter(name='n', value='128', format='int') |
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40 | 40 | #Spectra Unit Processing, getting spectras with nProfiles and nFFTPoints |
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41 | procUnitConfObjSpectraBeam0 = controllerObj.addProcUnit(datatype='Spectra', inputId=procUnitConfObjBeam0.getId()) | |
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41 | procUnitConfObjSpectraBeam0 = controllerObj.addProcUnit(datatype='SpectraProc', inputId=procUnitConfObjBeam0.getId()) | |
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42 | 42 | procUnitConfObjSpectraBeam0.addParameter(name='nFFTPoints', value=32, format='int') |
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43 | 43 | procUnitConfObjSpectraBeam0.addParameter(name='nProfiles', value=32, format='int') |
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44 | 44 | #Noise Estimation |
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45 | 45 | opObj11 = procUnitConfObjSpectraBeam0.addOperation(name='getNoise') |
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46 | 46 | opObj11.addParameter(name='minHei', value='100', format='float') |
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47 | 47 | opObj11.addParameter(name='maxHei', value='450', format='float') |
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48 | 48 | |
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49 | 49 | #SpectraPlot |
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50 | 50 | opObj11 = procUnitConfObjSpectraBeam0.addOperation(name='SpectraPlot', optype='other') |
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51 | 51 | opObj11.addParameter(name='id', value='100', format='int') |
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52 | 52 | opObj11.addParameter(name='wintitle', value='AMISR Beam 0', format='str') |
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53 | 53 | |
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54 | 54 | #RTIPlot |
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55 | 55 | title0 = 'RTI AMISR Beam 0' |
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56 | 56 | opObj11 = procUnitConfObjSpectraBeam0.addOperation(name='RTIPlot', optype='other') |
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57 | 57 | opObj11.addParameter(name='id', value='200', format='int') |
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58 | 58 | opObj11.addParameter(name='wintitle', value=title0, format='str') |
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59 | 59 | opObj11.addParameter(name='showprofile', value='0', format='int') |
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60 | 60 | #Setting RTI time using xmin,xmax |
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61 | 61 | opObj11.addParameter(name='xmin', value='0', format='int') |
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62 | 62 | opObj11.addParameter(name='xmax', value='18', format='int') |
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63 | 63 | #Setting dB range with zmin, zmax |
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64 | 64 | opObj11.addParameter(name='zmin', value='45', format='int') |
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65 | 65 | opObj11.addParameter(name='zmax', value='70', format='int') |
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66 | 66 | #Save RTI |
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67 | 67 | figfile0 = 'amisr_rti_beam0.png' |
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68 | 68 | opObj11.addParameter(name='figpath', value=figpath, format='str') |
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69 | opObj11.addParameter(name='figfile', value=figfile0, format='str') | |
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69 | #opObj11.addParameter(name='figfile', value=figfile0, format='str') | |
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70 | 70 | |
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71 | 71 | |
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72 | 72 | print "Escribiendo el archivo XML" |
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73 | 73 | controllerObj.writeXml(filename) |
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74 | 74 | print "Leyendo el archivo XML" |
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75 | 75 | controllerObj.readXml(filename) |
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76 | 76 | |
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77 | 77 | controllerObj.createObjects() |
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78 | 78 | controllerObj.connectObjects() |
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79 | 79 | controllerObj.run() |
| @@ -1,39 +1,39 | |||
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1 | 1 | import os, sys |
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2 | 2 | |
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3 | 3 | path = os.path.split(os.getcwd())[0] |
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4 | 4 | sys.path.append(path) |
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5 | 5 | |
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6 | 6 | from controller import * |
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7 | 7 | |
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8 | 8 | desc = "AMISR Experiment" |
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9 | 9 | |
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10 | 10 | filename = "amisr_reader.xml" |
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11 | 11 | |
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12 | 12 | controllerObj = Project() |
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13 | 13 | |
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14 | 14 | controllerObj.setup(id = '191', name='test01', description=desc) |
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15 | 15 | |
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16 | 16 | path = os.path.join(os.environ['HOME'],'Documents/amisr') #'/home/signalchain/Documents/amisr' |
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17 | 17 | |
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18 | 18 | figpath = os.path.join(os.environ['HOME'],'Pictures/amisr') |
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19 | 19 | |
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20 | readUnitConfObj = controllerObj.addReadUnit(datatype='AMISR', | |
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20 | readUnitConfObj = controllerObj.addReadUnit(datatype='AMISRReader', | |
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21 | 21 | path=path, |
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22 | 22 | startDate='2014/08/18', |
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23 | 23 | endDate='2014/08/18', |
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24 | 24 | startTime='00:00:00', |
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25 | 25 | endTime='23:59:59', |
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26 | 26 | walk=1) |
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27 | 27 | |
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28 | procUnitAMISR = controllerObj.addProcUnit(datatype='AMISR', inputId=readUnitConfObj.getId()) | |
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28 | procUnitAMISR = controllerObj.addProcUnit(datatype='AMISRProc', inputId=readUnitConfObj.getId()) | |
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29 | 29 | |
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30 | 30 | opObj11 = procUnitAMISR.addOperation(name='PrintInfo', optype='other') |
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31 | 31 | |
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32 | 32 | print "Escribiendo el archivo XML" |
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33 | 33 | controllerObj.writeXml(filename) |
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34 | 34 | print "Leyendo el archivo XML" |
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35 | 35 | controllerObj.readXml(filename) |
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36 | 36 | |
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37 | 37 | controllerObj.createObjects() |
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38 | 38 | controllerObj.connectObjects() |
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39 | 39 | controllerObj.run() |
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