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| 1 | ''' |
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| 2 |
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| 3 | $Author: murco $ |
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| 4 | $Id: JROData.py 173 2012-11-20 15:06:21Z murco $ |
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| 5 | ''' |
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| 6 |
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| 7 | import os, sys |
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| 8 | import copy |
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| 9 | import numpy |
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| 10 | import datetime |
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| 11 | import time |
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| 12 | from jroheaderIO import SystemHeader, RadarControllerHeader |
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| 13 |
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| 14 |
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| 15 | def hildebrand_sekhon(data, navg): |
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| 16 |
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| 17 | data = data.copy() |
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| 18 |
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| 19 | sortdata = numpy.sort(data,axis=None) |
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| 20 | lenOfData = len(sortdata) |
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| 21 | nums_min = lenOfData/10 |
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| 22 |
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| 23 | if (lenOfData/10) > 2: |
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| 24 | nums_min = lenOfData/10 |
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| 25 | else: |
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| 26 | nums_min = 2 |
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| 27 |
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| 28 | sump = 0. |
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| 29 |
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| 30 | sumq = 0. |
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| 31 |
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| 32 | j = 0 |
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| 33 |
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| 34 | cont = 1 |
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| 35 |
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| 36 | while((cont==1)and(j<lenOfData)): |
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| 37 |
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| 38 | sump += sortdata[j] |
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| 39 |
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| 40 | sumq += sortdata[j]**2 |
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| 41 |
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| 42 | j += 1 |
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| 43 |
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| 44 | if j > nums_min: |
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| 45 | rtest = float(j)/(j-1) + 1.0/navg |
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| 46 | if ((sumq*j) > (rtest*sump**2)): |
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| 47 | j = j - 1 |
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| 48 | sump = sump - sortdata[j] |
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| 49 | sumq = sumq - sortdata[j]**2 |
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| 50 | cont = 0 |
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| 51 |
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| 52 | lnoise = sump /j |
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| 53 | stdv = numpy.sqrt((sumq - lnoise**2)/(j - 1)) |
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| 54 | return lnoise |
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| 55 |
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| 56 | class JROData: |
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| 57 |
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| 58 | # m_BasicHeader = BasicHeader() |
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| 59 | # m_ProcessingHeader = ProcessingHeader() |
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| 60 |
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| 61 | systemHeaderObj = SystemHeader() |
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| 62 |
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| 63 | radarControllerHeaderObj = RadarControllerHeader() |
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| 64 |
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| 65 | # data = None |
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| 66 |
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| 67 | type = None |
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| 68 |
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| 69 | dtype = None |
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| 70 |
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| 71 | # nChannels = None |
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| 72 |
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| 73 | # nHeights = None |
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| 74 |
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| 75 | nProfiles = None |
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| 76 |
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| 77 | heightList = None |
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| 78 |
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| 79 | channelList = None |
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| 80 |
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| 81 | flagNoData = True |
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| 82 |
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| 83 | flagTimeBlock = False |
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| 84 |
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| 85 | useLocalTime = False |
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| 86 |
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| 87 | utctime = None |
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| 88 |
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| 89 | timeZone = None |
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| 90 |
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| 91 | dstFlag = None |
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| 92 |
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| 93 | errorCount = None |
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| 94 |
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| 95 | blocksize = None |
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| 96 |
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| 97 | nCode = None |
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| 98 |
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| 99 | nBaud = None |
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| 100 |
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| 101 | code = None |
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| 102 |
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| 103 | flagDecodeData = False #asumo q la data no esta decodificada |
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| 104 |
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| 105 | flagDeflipData = False #asumo q la data no esta sin flip |
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| 106 |
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| 107 | flagShiftFFT = False |
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| 108 |
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| 109 | ippSeconds = None |
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| 110 |
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| 111 | timeInterval = None |
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| 112 |
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| 113 | nCohInt = None |
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| 114 |
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| 115 | noise = None |
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| 116 |
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| 117 | windowOfFilter = 1 |
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| 118 |
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| 119 | #Speed of ligth |
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| 120 | C = 3e8 |
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| 121 |
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| 122 | frequency = 49.92e6 |
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| 123 |
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| 124 | realtime = False |
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| 125 |
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| 126 | beacon_heiIndexList = None |
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| 127 |
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| 128 | last_block = None |
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| 129 |
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| 130 | blocknow = None |
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| 131 |
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| 132 | def __init__(self): |
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| 133 |
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| 134 | raise ValueError, "This class has not been implemented" |
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| 135 |
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| 136 | def copy(self, inputObj=None): |
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| 137 |
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| 138 | if inputObj == None: |
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| 139 | return copy.deepcopy(self) |
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| 140 |
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| 141 | for key in inputObj.__dict__.keys(): |
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| 142 | self.__dict__[key] = inputObj.__dict__[key] |
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| 143 |
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| 144 | def deepcopy(self): |
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| 145 |
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| 146 | return copy.deepcopy(self) |
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| 147 |
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| 148 | def isEmpty(self): |
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| 149 |
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| 150 | return self.flagNoData |
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| 151 |
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| 152 | def getNoise(self): |
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| 153 |
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| 154 | raise ValueError, "Not implemented" |
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| 155 |
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| 156 | def getNChannels(self): |
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| 157 |
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| 158 | return len(self.channelList) |
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| 159 |
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| 160 | def getChannelIndexList(self): |
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| 161 |
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| 162 | return range(self.nChannels) |
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| 163 |
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| 164 | def getNHeights(self): |
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| 165 |
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| 166 | return len(self.heightList) |
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| 167 |
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| 168 | def getHeiRange(self, extrapoints=0): |
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| 169 |
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| 170 | heis = self.heightList |
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| 171 | # deltah = self.heightList[1] - self.heightList[0] |
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| 172 | # |
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| 173 | # heis.append(self.heightList[-1]) |
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| 174 |
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| 175 | return heis |
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| 176 |
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| 177 | def getltctime(self): |
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| 178 |
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| 179 | if self.useLocalTime: |
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| 180 | return self.utctime - self.timeZone*60 |
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| 181 |
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| 182 | return self.utctime |
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| 183 |
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| 184 | def getDatatime(self): |
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| 185 |
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| 186 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) |
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| 187 | return datatime |
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| 188 |
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| 189 | def getTimeRange(self): |
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| 190 |
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| 191 | datatime = [] |
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| 192 |
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| 193 | datatime.append(self.ltctime) |
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| 194 | datatime.append(self.ltctime + self.timeInterval) |
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| 195 |
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| 196 | datatime = numpy.array(datatime) |
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| 197 |
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| 198 | return datatime |
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| 199 |
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| 200 | def getFmax(self): |
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| 201 |
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| 202 | PRF = 1./(self.ippSeconds * self.nCohInt) |
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| 203 |
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| 204 | fmax = PRF/2. |
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| 205 |
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| 206 | return fmax |
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| 207 |
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| 208 | def getVmax(self): |
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| 209 |
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| 210 | _lambda = self.C/self.frequency |
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| 211 |
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| 212 | vmax = self.getFmax() * _lambda |
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| 213 |
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| 214 | return vmax |
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| 215 |
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| 216 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
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| 217 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") |
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| 218 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
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| 219 | noise = property(getNoise, "I'm the 'nHeights' property.") |
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| 220 | datatime = property(getDatatime, "I'm the 'datatime' property") |
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| 221 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
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| 222 |
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| 223 | class Voltage(JROData): |
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| 224 |
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| 225 | #data es un numpy array de 2 dmensiones (canales, alturas) |
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| 226 | data = None |
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| 227 |
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| 228 | def __init__(self): |
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| 229 | ''' |
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| 230 | Constructor |
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| 231 | ''' |
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| 232 |
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| 233 | self.radarControllerHeaderObj = RadarControllerHeader() |
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| 234 |
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| 235 | self.systemHeaderObj = SystemHeader() |
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| 236 |
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| 237 | self.type = "Voltage" |
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| 238 |
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| 239 | self.data = None |
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| 240 |
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| 241 | self.dtype = None |
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| 242 |
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| 243 | # self.nChannels = 0 |
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| 244 |
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| 245 | # self.nHeights = 0 |
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| 246 |
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| 247 | self.nProfiles = None |
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| 248 |
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| 249 | self.heightList = None |
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| 250 |
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| 251 | self.channelList = None |
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| 252 |
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| 253 | # self.channelIndexList = None |
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| 254 |
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| 255 | self.flagNoData = True |
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| 256 |
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| 257 | self.flagTimeBlock = False |
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| 258 |
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| 259 | self.utctime = None |
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| 260 |
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| 261 | self.timeZone = None |
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| 262 |
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| 263 | self.dstFlag = None |
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| 264 |
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| 265 | self.errorCount = None |
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| 266 |
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| 267 | self.nCohInt = None |
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| 268 |
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| 269 | self.blocksize = None |
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| 270 |
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| 271 | self.flagDecodeData = False #asumo q la data no esta decodificada |
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| 272 |
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| 273 | self.flagDeflipData = False #asumo q la data no esta sin flip |
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| 274 |
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| 275 | self.flagShiftFFT = False |
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| 276 |
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| 277 |
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| 278 | def getNoisebyHildebrand(self): |
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| 279 | """ |
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| 280 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
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| 281 |
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| 282 | Return: |
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| 283 | noiselevel |
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| 284 | """ |
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| 285 |
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| 286 | for channel in range(self.nChannels): |
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| 287 | daux = self.data_spc[channel,:,:] |
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| 288 | self.noise[channel] = hildebrand_sekhon(daux, self.nCohInt) |
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| 289 |
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| 290 | return self.noise |
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| 291 |
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| 292 | def getNoise(self, type = 1): |
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| 293 |
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| 294 | self.noise = numpy.zeros(self.nChannels) |
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| 295 |
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| 296 | if type == 1: |
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| 297 | noise = self.getNoisebyHildebrand() |
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| 298 |
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| 299 | return 10*numpy.log10(noise) |
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| 300 |
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| 301 | class Spectra(JROData): |
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| 302 |
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| 303 | #data es un numpy array de 2 dmensiones (canales, perfiles, alturas) |
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| 304 | data_spc = None |
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| 305 |
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| 306 | #data es un numpy array de 2 dmensiones (canales, pares, alturas) |
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| 307 | data_cspc = None |
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| 308 |
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| 309 | #data es un numpy array de 2 dmensiones (canales, alturas) |
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| 310 | data_dc = None |
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| 311 |
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| 312 | nFFTPoints = None |
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| 313 |
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| 314 | nPairs = None |
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| 315 |
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| 316 | pairsList = None |
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| 317 |
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| 318 | nIncohInt = None |
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| 319 |
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| 320 | wavelength = None #Necesario para cacular el rango de velocidad desde la frecuencia |
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| 321 |
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| 322 | nCohInt = None #se requiere para determinar el valor de timeInterval |
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| 323 |
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| 324 | ippFactor = None |
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| 325 |
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| 326 | def __init__(self): |
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| 327 | ''' |
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| 328 | Constructor |
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| 329 | ''' |
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| 330 |
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| 331 | self.radarControllerHeaderObj = RadarControllerHeader() |
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| 332 |
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| 333 | self.systemHeaderObj = SystemHeader() |
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| 334 |
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| 335 | self.type = "Spectra" |
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| 336 |
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| 337 | # self.data = None |
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| 338 |
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| 339 | self.dtype = None |
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| 340 |
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| 341 | # self.nChannels = 0 |
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| 342 |
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| 343 | # self.nHeights = 0 |
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| 344 |
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| 345 | self.nProfiles = None |
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| 346 |
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| 347 | self.heightList = None |
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| 348 |
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| 349 | self.channelList = None |
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| 350 |
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| 351 | # self.channelIndexList = None |
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| 352 |
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| 353 | self.flagNoData = True |
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| 354 |
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| 355 | self.flagTimeBlock = False |
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| 356 |
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| 357 | self.utctime = None |
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| 358 |
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| 359 | self.nCohInt = None |
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| 360 |
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| 361 | self.nIncohInt = None |
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| 362 |
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| 363 | self.blocksize = None |
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| 364 |
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| 365 | self.nFFTPoints = None |
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| 366 |
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| 367 | self.wavelength = None |
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| 368 |
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| 369 | self.flagDecodeData = False #asumo q la data no esta decodificada |
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| 370 |
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| 371 | self.flagDeflipData = False #asumo q la data no esta sin flip |
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| 372 |
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| 373 | self.flagShiftFFT = False |
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| 374 |
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| 375 | self.ippFactor = 1 |
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| 376 |
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| 377 | self.noise = None |
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| 378 |
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| 379 | self.beacon_heiIndexList = [] |
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| 380 |
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| 381 |
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| 382 | def getNoisebyHildebrand(self): |
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| 383 | """ |
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| 384 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
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| 385 |
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| 386 | Return: |
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| 387 | noiselevel |
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| 388 | """ |
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| 389 | noise = numpy.zeros(self.nChannels) |
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| 390 | for channel in range(self.nChannels): |
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| 391 | daux = self.data_spc[channel,:,:] |
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| 392 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
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| 393 |
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| 394 | return noise |
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| 395 |
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| 396 | def getNoise(self): |
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| 397 | if self.noise != None: |
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| 398 | return self.noise |
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| 399 | else: |
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| 400 | noise = self.getNoisebyHildebrand() |
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| 401 | return noise |
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| 402 |
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| 403 |
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| 404 | def getFreqRange(self, extrapoints=0): |
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| 405 |
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| 406 | deltafreq = self.getFmax() / (self.nFFTPoints*self.ippFactor) |
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| 407 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 |
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| 408 |
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| 409 | return freqrange |
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| 410 |
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| 411 | def getVelRange(self, extrapoints=0): |
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| 412 |
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| 413 | deltav = self.getVmax() / (self.nFFTPoints*self.ippFactor) |
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| 414 | velrange = deltav*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltav/2 |
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| 415 |
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| 416 | return velrange |
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| 417 |
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| 418 | def getNPairs(self): |
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| 419 |
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| 420 | return len(self.pairsList) |
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| 421 |
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| 422 | def getPairsIndexList(self): |
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| 423 |
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| 424 | return range(self.nPairs) |
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| 425 |
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| 426 | def getNormFactor(self): |
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| 427 | pwcode = 1 |
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| 428 | if self.flagDecodeData: |
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| 429 | pwcode = numpy.sum(self.code[0]**2) |
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| 430 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
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| 431 | normFactor = self.nProfiles*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
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| 432 |
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| 433 | return normFactor |
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| 434 |
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| 435 | def getFlagCspc(self): |
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| 436 |
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| 437 | if self.data_cspc == None: |
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| 438 | return True |
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| 439 |
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| 440 | return False |
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| 441 |
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| 442 | def getFlagDc(self): |
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| 443 |
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| 444 | if self.data_dc == None: |
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| 445 | return True |
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| 446 |
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| 447 | return False |
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| 448 |
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| 449 | nPairs = property(getNPairs, "I'm the 'nPairs' property.") |
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| 450 | pairsIndexList = property(getPairsIndexList, "I'm the 'pairsIndexList' property.") |
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| 451 | normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.") |
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| 452 | flag_cspc = property(getFlagCspc) |
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| 453 | flag_dc = property(getFlagDc) |
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| 454 |
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| 455 | class SpectraHeis(JROData): |
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| 456 |
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| 457 | data_spc = None |
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| 458 |
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||||
| 459 | data_cspc = None |
|
|||
| 460 |
|
||||
| 461 | data_dc = None |
|
|||
| 462 |
|
||||
| 463 | nFFTPoints = None |
|
|||
| 464 |
|
||||
| 465 | nPairs = None |
|
|||
| 466 |
|
||||
| 467 | pairsList = None |
|
|||
| 468 |
|
||||
| 469 | nIncohInt = None |
|
|||
| 470 |
|
||||
| 471 | def __init__(self): |
|
|||
| 472 |
|
||||
| 473 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|||
| 474 |
|
||||
| 475 | self.systemHeaderObj = SystemHeader() |
|
|||
| 476 |
|
||||
| 477 | self.type = "SpectraHeis" |
|
|||
| 478 |
|
||||
| 479 | self.dtype = None |
|
|||
| 480 |
|
||||
| 481 | # self.nChannels = 0 |
|
|||
| 482 |
|
||||
| 483 | # self.nHeights = 0 |
|
|||
| 484 |
|
||||
| 485 | self.nProfiles = None |
|
|||
| 486 |
|
||||
| 487 | self.heightList = None |
|
|||
| 488 |
|
||||
| 489 | self.channelList = None |
|
|||
| 490 |
|
||||
| 491 | # self.channelIndexList = None |
|
|||
| 492 |
|
||||
| 493 | self.flagNoData = True |
|
|||
| 494 |
|
||||
| 495 | self.flagTimeBlock = False |
|
|||
| 496 |
|
||||
| 497 | self.nPairs = 0 |
|
|||
| 498 |
|
||||
| 499 | self.utctime = None |
|
|||
| 500 |
|
||||
| 501 | self.blocksize = None |
|
|||
| 502 |
|
||||
| 503 | class Fits: |
|
|||
| 504 |
|
||||
| 505 | heightList = None |
|
|||
| 506 |
|
||||
| 507 | channelList = None |
|
|||
| 508 |
|
||||
| 509 | flagNoData = True |
|
|||
| 510 |
|
||||
| 511 | flagTimeBlock = False |
|
|||
| 512 |
|
||||
| 513 | useLocalTime = False |
|
|||
| 514 |
|
||||
| 515 | utctime = None |
|
|||
| 516 |
|
||||
| 517 | timeZone = None |
|
|||
| 518 |
|
||||
| 519 | ippSeconds = None |
|
|||
| 520 |
|
||||
| 521 | timeInterval = None |
|
|||
| 522 |
|
||||
| 523 | nCohInt = None |
|
|||
| 524 |
|
||||
| 525 | nIncohInt = None |
|
|||
| 526 |
|
||||
| 527 | noise = None |
|
|||
| 528 |
|
||||
| 529 | windowOfFilter = 1 |
|
|||
| 530 |
|
||||
| 531 | #Speed of ligth |
|
|||
| 532 | C = 3e8 |
|
|||
| 533 |
|
||||
| 534 | frequency = 49.92e6 |
|
|||
| 535 |
|
||||
| 536 | realtime = False |
|
|||
| 537 |
|
||||
| 538 |
|
||||
| 539 | def __init__(self): |
|
|||
| 540 |
|
||||
| 541 | self.type = "Fits" |
|
|||
| 542 |
|
||||
| 543 | self.nProfiles = None |
|
|||
| 544 |
|
||||
| 545 | self.heightList = None |
|
|||
| 546 |
|
||||
| 547 | self.channelList = None |
|
|||
| 548 |
|
||||
| 549 | # self.channelIndexList = None |
|
|||
| 550 |
|
||||
| 551 | self.flagNoData = True |
|
|||
| 552 |
|
||||
| 553 | self.utctime = None |
|
|||
| 554 |
|
||||
| 555 | self.nCohInt = None |
|
|||
| 556 |
|
||||
| 557 | self.nIncohInt = None |
|
|||
| 558 |
|
||||
| 559 | self.useLocalTime = True |
|
|||
| 560 |
|
||||
| 561 | # self.utctime = None |
|
|||
| 562 | # self.timeZone = None |
|
|||
| 563 | # self.ltctime = None |
|
|||
| 564 | # self.timeInterval = None |
|
|||
| 565 | # self.header = None |
|
|||
| 566 | # self.data_header = None |
|
|||
| 567 | # self.data = None |
|
|||
| 568 | # self.datatime = None |
|
|||
| 569 | # self.flagNoData = False |
|
|||
| 570 | # self.expName = '' |
|
|||
| 571 | # self.nChannels = None |
|
|||
| 572 | # self.nSamples = None |
|
|||
| 573 | # self.dataBlocksPerFile = None |
|
|||
| 574 | # self.comments = '' |
|
|||
| 575 | # |
|
|||
| 576 |
|
||||
| 577 |
|
||||
| 578 | def getltctime(self): |
|
|||
| 579 |
|
||||
| 580 | if self.useLocalTime: |
|
|||
| 581 | return self.utctime - self.timeZone*60 |
|
|||
| 582 |
|
||||
| 583 | return self.utctime |
|
|||
| 584 |
|
||||
| 585 | def getDatatime(self): |
|
|||
| 586 |
|
||||
| 587 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|||
| 588 | return datatime |
|
|||
| 589 |
|
||||
| 590 | def getTimeRange(self): |
|
|||
| 591 |
|
||||
| 592 | datatime = [] |
|
|||
| 593 |
|
||||
| 594 | datatime.append(self.ltctime) |
|
|||
| 595 | datatime.append(self.ltctime + self.timeInterval) |
|
|||
| 596 |
|
||||
| 597 | datatime = numpy.array(datatime) |
|
|||
| 598 |
|
||||
| 599 | return datatime |
|
|||
| 600 |
|
||||
| 601 | def getHeiRange(self): |
|
|||
| 602 |
|
||||
| 603 | heis = self.heightList |
|
|||
| 604 |
|
||||
| 605 | return heis |
|
|||
| 606 |
|
||||
| 607 | def isEmpty(self): |
|
|||
| 608 |
|
||||
| 609 | return self.flagNoData |
|
|||
| 610 |
|
||||
| 611 | def getNHeights(self): |
|
|||
| 612 |
|
||||
| 613 | return len(self.heightList) |
|
|||
| 614 |
|
||||
| 615 | def getNChannels(self): |
|
|||
| 616 |
|
||||
| 617 | return len(self.channelList) |
|
|||
| 618 |
|
||||
| 619 | def getChannelIndexList(self): |
|
|||
| 620 |
|
||||
| 621 | return range(self.nChannels) |
|
|||
| 622 |
|
||||
| 623 | def getNoise(self, type = 1): |
|
|||
| 624 |
|
||||
| 625 | self.noise = numpy.zeros(self.nChannels) |
|
|||
| 626 |
|
||||
| 627 | if type == 1: |
|
|||
| 628 | noise = self.getNoisebyHildebrand() |
|
|||
| 629 |
|
||||
| 630 | if type == 2: |
|
|||
| 631 | noise = self.getNoisebySort() |
|
|||
| 632 |
|
||||
| 633 | if type == 3: |
|
|||
| 634 | noise = self.getNoisebyWindow() |
|
|||
| 635 |
|
||||
| 636 | return noise |
|
|||
| 637 |
|
||||
| 638 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|||
| 639 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|||
| 640 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|||
| 641 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|||
| 642 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|||
| 643 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|||
| 644 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|||
| 645 |
|
||||
| 646 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|||
| 647 |
|
||||
| 648 | class AMISR: |
|
|||
| 649 | def __init__(self): |
|
|||
| 650 | self.flagNoData = True |
|
|||
| 651 | self.data = None |
|
|||
| 652 | self.utctime = None |
|
|||
| 653 | self.type = "AMISR" |
|
|||
| 654 |
|
||||
| 655 | #propiedades para compatibilidad con Voltages |
|
|||
| 656 | self.timeZone = 300#timezone like jroheader, difference in minutes between UTC and localtime |
|
|||
| 657 | self.dstFlag = 0#self.dataIn.dstFlag |
|
|||
| 658 | self.errorCount = 0#self.dataIn.errorCount |
|
|||
| 659 | self.useLocalTime = True#self.dataIn.useLocalTime |
|
|||
| 660 |
|
||||
| 661 | self.radarControllerHeaderObj = None#self.dataIn.radarControllerHeaderObj.copy() |
|
|||
| 662 | self.systemHeaderObj = None#self.dataIn.systemHeaderObj.copy() |
|
|||
| 663 | self.channelList = [0]#self.dataIn.channelList esto solo aplica para el caso de AMISR |
|
|||
| 664 | self.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|||
| 665 |
|
||||
| 666 | self.flagTimeBlock = None#self.dataIn.flagTimeBlock |
|
|||
| 667 | #self.utctime = #self.firstdatatime |
|
|||
| 668 | self.flagDecodeData = None#self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
|||
| 669 | self.flagDeflipData = None#self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
|||
| 670 |
|
||||
| 671 | self.nCohInt = 1#self.dataIn.nCohInt |
|
|||
| 672 | self.nIncohInt = 1 |
|
|||
| 673 | self.ippSeconds = None#self.dataIn.ippSeconds, segun el filename/Setup/Tufile |
|
|||
| 674 | self.windowOfFilter = None#self.dataIn.windowOfFilter |
|
|||
| 675 |
|
||||
| 676 | self.timeInterval = None#self.dataIn.timeInterval*self.dataOut.nFFTPoints*self.dataOut.nIncohInt |
|
|||
| 677 | self.frequency = None#self.dataIn.frequency |
|
|||
| 678 | self.realtime = 0#self.dataIn.realtime |
|
|||
| 679 |
|
||||
| 680 | #actualizar en la lectura de datos |
|
|||
| 681 | self.heightList = None#self.dataIn.heightList |
|
|||
| 682 | self.nProfiles = None#Number of samples or nFFTPoints |
|
|||
| 683 | self.nRecords = None |
|
|||
| 684 | self.nBeams = None |
|
|||
| 685 | self.nBaud = None#self.dataIn.nBaud |
|
|||
| 686 | self.nCode = None#self.dataIn.nCode |
|
|||
| 687 | self.code = None#self.dataIn.code |
|
|||
| 688 |
|
||||
| 689 | #consideracion para los Beams |
|
|||
| 690 | self.beamCodeDict = None |
|
|||
| 691 | self.beamRangeDict = None |
|
|||
| 692 |
|
||||
| 693 | def copy(self, inputObj=None): |
|
|||
| 694 |
|
||||
| 695 | if inputObj == None: |
|
|||
| 696 | return copy.deepcopy(self) |
|
|||
| 697 |
|
||||
| 698 | for key in inputObj.__dict__.keys(): |
|
|||
| 699 | self.__dict__[key] = inputObj.__dict__[key] |
|
|||
| 700 |
|
||||
| 701 |
|
||||
| 702 | def isEmpty(self): |
|
|||
| 703 |
|
||||
| 704 | return self.flagNoData No newline at end of file |
|
|||
| This diff has been collapsed as it changes many lines, (3951 lines changed) Show them Hide them | |||||
| @@ -1,3951 +0,0 | |||||
| 1 | ''' |
|
|||
| 2 |
|
||||
| 3 | $Author: murco $ |
|
|||
| 4 | $Id: JRODataIO.py 169 2012-11-19 21:57:03Z murco $ |
|
|||
| 5 | ''' |
|
|||
| 6 |
|
||||
| 7 | import os, sys |
|
|||
| 8 | import glob |
|
|||
| 9 | import time |
|
|||
| 10 | import numpy |
|
|||
| 11 | import fnmatch |
|
|||
| 12 | import time, datetime |
|
|||
| 13 | import h5py |
|
|||
| 14 | import re |
|
|||
| 15 | from xml.etree.ElementTree import Element, SubElement, ElementTree |
|
|||
| 16 | try: |
|
|||
| 17 | import pyfits |
|
|||
| 18 | except: |
|
|||
| 19 | print "pyfits module has not been imported, it should be installed to save files in fits format" |
|
|||
| 20 |
|
||||
| 21 | from jrodata import * |
|
|||
| 22 | from jroheaderIO import * |
|
|||
| 23 | from jroprocessing import * |
|
|||
| 24 |
|
||||
| 25 | LOCALTIME = True #-18000 |
|
|||
| 26 |
|
||||
| 27 | def isNumber(str): |
|
|||
| 28 | """ |
|
|||
| 29 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|||
| 30 |
|
||||
| 31 | Excepciones: |
|
|||
| 32 | Si un determinado string no puede ser convertido a numero |
|
|||
| 33 | Input: |
|
|||
| 34 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|||
| 35 |
|
||||
| 36 | Return: |
|
|||
| 37 | True : si el string es uno numerico |
|
|||
| 38 | False : no es un string numerico |
|
|||
| 39 | """ |
|
|||
| 40 | try: |
|
|||
| 41 | float( str ) |
|
|||
| 42 | return True |
|
|||
| 43 | except: |
|
|||
| 44 | return False |
|
|||
| 45 |
|
||||
| 46 | def isThisFileinRange(filename, startUTSeconds, endUTSeconds): |
|
|||
| 47 | """ |
|
|||
| 48 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|||
| 49 |
|
||||
| 50 | Inputs: |
|
|||
| 51 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|||
| 52 |
|
||||
| 53 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|||
| 54 | segundos contados desde 01/01/1970. |
|
|||
| 55 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|||
| 56 | segundos contados desde 01/01/1970. |
|
|||
| 57 |
|
||||
| 58 | Return: |
|
|||
| 59 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|||
| 60 | fecha especificado, de lo contrario retorna False. |
|
|||
| 61 |
|
||||
| 62 | Excepciones: |
|
|||
| 63 | Si el archivo no existe o no puede ser abierto |
|
|||
| 64 | Si la cabecera no puede ser leida. |
|
|||
| 65 |
|
||||
| 66 | """ |
|
|||
| 67 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|||
| 68 |
|
||||
| 69 | try: |
|
|||
| 70 | fp = open(filename,'rb') |
|
|||
| 71 | except: |
|
|||
| 72 | raise IOError, "The file %s can't be opened" %(filename) |
|
|||
| 73 |
|
||||
| 74 | sts = basicHeaderObj.read(fp) |
|
|||
| 75 | fp.close() |
|
|||
| 76 |
|
||||
| 77 | if not(sts): |
|
|||
| 78 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|||
| 79 | return 0 |
|
|||
| 80 |
|
||||
| 81 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|||
| 82 | return 0 |
|
|||
| 83 |
|
||||
| 84 | return 1 |
|
|||
| 85 |
|
||||
| 86 | def isFileinThisTime(filename, startTime, endTime): |
|
|||
| 87 | """ |
|
|||
| 88 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|||
| 89 |
|
||||
| 90 | Inputs: |
|
|||
| 91 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|||
| 92 |
|
||||
| 93 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|||
| 94 |
|
||||
| 95 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|||
| 96 |
|
||||
| 97 | Return: |
|
|||
| 98 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|||
| 99 | fecha especificado, de lo contrario retorna False. |
|
|||
| 100 |
|
||||
| 101 | Excepciones: |
|
|||
| 102 | Si el archivo no existe o no puede ser abierto |
|
|||
| 103 | Si la cabecera no puede ser leida. |
|
|||
| 104 |
|
||||
| 105 | """ |
|
|||
| 106 |
|
||||
| 107 |
|
||||
| 108 | try: |
|
|||
| 109 | fp = open(filename,'rb') |
|
|||
| 110 | except: |
|
|||
| 111 | raise IOError, "The file %s can't be opened" %(filename) |
|
|||
| 112 |
|
||||
| 113 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|||
| 114 | sts = basicHeaderObj.read(fp) |
|
|||
| 115 | fp.close() |
|
|||
| 116 |
|
||||
| 117 | thisDatetime = basicHeaderObj.datatime |
|
|||
| 118 | thisTime = basicHeaderObj.datatime.time() |
|
|||
| 119 |
|
||||
| 120 | if not(sts): |
|
|||
| 121 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|||
| 122 | return None |
|
|||
| 123 |
|
||||
| 124 | if not ((startTime <= thisTime) and (endTime > thisTime)): |
|
|||
| 125 | return None |
|
|||
| 126 |
|
||||
| 127 | return thisDatetime |
|
|||
| 128 |
|
||||
| 129 | def getFileFromSet(path,ext,set): |
|
|||
| 130 | validFilelist = [] |
|
|||
| 131 | fileList = os.listdir(path) |
|
|||
| 132 |
|
||||
| 133 | # 0 1234 567 89A BCDE |
|
|||
| 134 | # H YYYY DDD SSS .ext |
|
|||
| 135 |
|
||||
| 136 | for file in fileList: |
|
|||
| 137 | try: |
|
|||
| 138 | year = int(file[1:5]) |
|
|||
| 139 | doy = int(file[5:8]) |
|
|||
| 140 |
|
||||
| 141 |
|
||||
| 142 | except: |
|
|||
| 143 | continue |
|
|||
| 144 |
|
||||
| 145 | if (os.path.splitext(file)[-1].lower() != ext.lower()): |
|
|||
| 146 | continue |
|
|||
| 147 |
|
||||
| 148 | validFilelist.append(file) |
|
|||
| 149 |
|
||||
| 150 | myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set)) |
|
|||
| 151 |
|
||||
| 152 | if len(myfile)!= 0: |
|
|||
| 153 | return myfile[0] |
|
|||
| 154 | else: |
|
|||
| 155 | filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower()) |
|
|||
| 156 | print 'the filename %s does not exist'%filename |
|
|||
| 157 | print '...going to the last file: ' |
|
|||
| 158 |
|
||||
| 159 | if validFilelist: |
|
|||
| 160 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|||
| 161 | return validFilelist[-1] |
|
|||
| 162 |
|
||||
| 163 | return None |
|
|||
| 164 |
|
||||
| 165 |
|
||||
| 166 | def getlastFileFromPath(path, ext): |
|
|||
| 167 | """ |
|
|||
| 168 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|||
| 169 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|||
| 170 |
|
||||
| 171 | Input: |
|
|||
| 172 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|||
| 173 | ext : extension de los files contenidos en una carpeta |
|
|||
| 174 |
|
||||
| 175 | Return: |
|
|||
| 176 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|||
| 177 | """ |
|
|||
| 178 | validFilelist = [] |
|
|||
| 179 | fileList = os.listdir(path) |
|
|||
| 180 |
|
||||
| 181 | # 0 1234 567 89A BCDE |
|
|||
| 182 | # H YYYY DDD SSS .ext |
|
|||
| 183 |
|
||||
| 184 | for file in fileList: |
|
|||
| 185 | try: |
|
|||
| 186 | year = int(file[1:5]) |
|
|||
| 187 | doy = int(file[5:8]) |
|
|||
| 188 |
|
||||
| 189 |
|
||||
| 190 | except: |
|
|||
| 191 | continue |
|
|||
| 192 |
|
||||
| 193 | if (os.path.splitext(file)[-1].lower() != ext.lower()): |
|
|||
| 194 | continue |
|
|||
| 195 |
|
||||
| 196 | validFilelist.append(file) |
|
|||
| 197 |
|
||||
| 198 | if validFilelist: |
|
|||
| 199 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|||
| 200 | return validFilelist[-1] |
|
|||
| 201 |
|
||||
| 202 | return None |
|
|||
| 203 |
|
||||
| 204 | def checkForRealPath(path, foldercounter, year, doy, set, ext): |
|
|||
| 205 | """ |
|
|||
| 206 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
|||
| 207 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
|||
| 208 | el path exacto de un determinado file. |
|
|||
| 209 |
|
||||
| 210 | Example : |
|
|||
| 211 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|||
| 212 |
|
||||
| 213 | Entonces la funcion prueba con las siguientes combinaciones |
|
|||
| 214 | .../.../y2009307367.ext |
|
|||
| 215 | .../.../Y2009307367.ext |
|
|||
| 216 | .../.../x2009307/y2009307367.ext |
|
|||
| 217 | .../.../x2009307/Y2009307367.ext |
|
|||
| 218 | .../.../X2009307/y2009307367.ext |
|
|||
| 219 | .../.../X2009307/Y2009307367.ext |
|
|||
| 220 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|||
| 221 |
|
||||
| 222 | Return: |
|
|||
| 223 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
|||
| 224 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
|||
| 225 | para el filename |
|
|||
| 226 | """ |
|
|||
| 227 | fullfilename = None |
|
|||
| 228 | find_flag = False |
|
|||
| 229 | filename = None |
|
|||
| 230 |
|
||||
| 231 | prefixDirList = [None,'d','D'] |
|
|||
| 232 | if ext.lower() == ".r": #voltage |
|
|||
| 233 | prefixFileList = ['d','D'] |
|
|||
| 234 | elif ext.lower() == ".pdata": #spectra |
|
|||
| 235 | prefixFileList = ['p','P'] |
|
|||
| 236 | else: |
|
|||
| 237 | return None, filename |
|
|||
| 238 |
|
||||
| 239 | #barrido por las combinaciones posibles |
|
|||
| 240 | for prefixDir in prefixDirList: |
|
|||
| 241 | thispath = path |
|
|||
| 242 | if prefixDir != None: |
|
|||
| 243 | #formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|||
| 244 | if foldercounter == 0: |
|
|||
| 245 | thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy )) |
|
|||
| 246 | else: |
|
|||
| 247 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter)) |
|
|||
| 248 | for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D" |
|
|||
| 249 | filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext |
|
|||
| 250 | fullfilename = os.path.join( thispath, filename ) #formo el path completo |
|
|||
| 251 |
|
||||
| 252 | if os.path.exists( fullfilename ): #verifico que exista |
|
|||
| 253 | find_flag = True |
|
|||
| 254 | break |
|
|||
| 255 | if find_flag: |
|
|||
| 256 | break |
|
|||
| 257 |
|
||||
| 258 | if not(find_flag): |
|
|||
| 259 | return None, filename |
|
|||
| 260 |
|
||||
| 261 | return fullfilename, filename |
|
|||
| 262 |
|
||||
| 263 | def isDoyFolder(folder): |
|
|||
| 264 | try: |
|
|||
| 265 | year = int(folder[1:5]) |
|
|||
| 266 | except: |
|
|||
| 267 | return 0 |
|
|||
| 268 |
|
||||
| 269 | try: |
|
|||
| 270 | doy = int(folder[5:8]) |
|
|||
| 271 | except: |
|
|||
| 272 | return 0 |
|
|||
| 273 |
|
||||
| 274 | return 1 |
|
|||
| 275 |
|
||||
| 276 | class JRODataIO: |
|
|||
| 277 |
|
||||
| 278 | c = 3E8 |
|
|||
| 279 |
|
||||
| 280 | isConfig = False |
|
|||
| 281 |
|
||||
| 282 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|||
| 283 |
|
||||
| 284 | systemHeaderObj = SystemHeader() |
|
|||
| 285 |
|
||||
| 286 | radarControllerHeaderObj = RadarControllerHeader() |
|
|||
| 287 |
|
||||
| 288 | processingHeaderObj = ProcessingHeader() |
|
|||
| 289 |
|
||||
| 290 | online = 0 |
|
|||
| 291 |
|
||||
| 292 | dtype = None |
|
|||
| 293 |
|
||||
| 294 | pathList = [] |
|
|||
| 295 |
|
||||
| 296 | filenameList = [] |
|
|||
| 297 |
|
||||
| 298 | filename = None |
|
|||
| 299 |
|
||||
| 300 | ext = None |
|
|||
| 301 |
|
||||
| 302 | flagIsNewFile = 1 |
|
|||
| 303 |
|
||||
| 304 | flagTimeBlock = 0 |
|
|||
| 305 |
|
||||
| 306 | flagIsNewBlock = 0 |
|
|||
| 307 |
|
||||
| 308 | fp = None |
|
|||
| 309 |
|
||||
| 310 | firstHeaderSize = 0 |
|
|||
| 311 |
|
||||
| 312 | basicHeaderSize = 24 |
|
|||
| 313 |
|
||||
| 314 | versionFile = 1103 |
|
|||
| 315 |
|
||||
| 316 | fileSize = None |
|
|||
| 317 |
|
||||
| 318 | ippSeconds = None |
|
|||
| 319 |
|
||||
| 320 | fileSizeByHeader = None |
|
|||
| 321 |
|
||||
| 322 | fileIndex = None |
|
|||
| 323 |
|
||||
| 324 | profileIndex = None |
|
|||
| 325 |
|
||||
| 326 | blockIndex = None |
|
|||
| 327 |
|
||||
| 328 | nTotalBlocks = None |
|
|||
| 329 |
|
||||
| 330 | maxTimeStep = 30 |
|
|||
| 331 |
|
||||
| 332 | lastUTTime = None |
|
|||
| 333 |
|
||||
| 334 | datablock = None |
|
|||
| 335 |
|
||||
| 336 | dataOut = None |
|
|||
| 337 |
|
||||
| 338 | blocksize = None |
|
|||
| 339 |
|
||||
| 340 | def __init__(self): |
|
|||
| 341 |
|
||||
| 342 | raise ValueError, "Not implemented" |
|
|||
| 343 |
|
||||
| 344 | def run(self): |
|
|||
| 345 |
|
||||
| 346 | raise ValueError, "Not implemented" |
|
|||
| 347 |
|
||||
| 348 | def getOutput(self): |
|
|||
| 349 |
|
||||
| 350 | return self.dataOut |
|
|||
| 351 |
|
||||
| 352 | class JRODataReader(JRODataIO, ProcessingUnit): |
|
|||
| 353 |
|
||||
| 354 | nReadBlocks = 0 |
|
|||
| 355 |
|
||||
| 356 | delay = 10 #number of seconds waiting a new file |
|
|||
| 357 |
|
||||
| 358 | nTries = 3 #quantity tries |
|
|||
| 359 |
|
||||
| 360 | nFiles = 3 #number of files for searching |
|
|||
| 361 |
|
||||
| 362 | path = None |
|
|||
| 363 |
|
||||
| 364 | foldercounter = 0 |
|
|||
| 365 |
|
||||
| 366 | flagNoMoreFiles = 0 |
|
|||
| 367 |
|
||||
| 368 | datetimeList = [] |
|
|||
| 369 |
|
||||
| 370 | __isFirstTimeOnline = 1 |
|
|||
| 371 |
|
||||
| 372 | __printInfo = True |
|
|||
| 373 |
|
||||
| 374 | profileIndex = None |
|
|||
| 375 |
|
||||
| 376 | def __init__(self): |
|
|||
| 377 |
|
||||
| 378 | """ |
|
|||
| 379 |
|
||||
| 380 | """ |
|
|||
| 381 |
|
||||
| 382 | raise ValueError, "This method has not been implemented" |
|
|||
| 383 |
|
||||
| 384 |
|
||||
| 385 | def createObjByDefault(self): |
|
|||
| 386 | """ |
|
|||
| 387 |
|
||||
| 388 | """ |
|
|||
| 389 | raise ValueError, "This method has not been implemented" |
|
|||
| 390 |
|
||||
| 391 | def getBlockDimension(self): |
|
|||
| 392 |
|
||||
| 393 | raise ValueError, "No implemented" |
|
|||
| 394 |
|
||||
| 395 | def __searchFilesOffLine(self, |
|
|||
| 396 | path, |
|
|||
| 397 | startDate, |
|
|||
| 398 | endDate, |
|
|||
| 399 | startTime=datetime.time(0,0,0), |
|
|||
| 400 | endTime=datetime.time(23,59,59), |
|
|||
| 401 | set=None, |
|
|||
| 402 | expLabel='', |
|
|||
| 403 | ext='.r', |
|
|||
| 404 | walk=True): |
|
|||
| 405 |
|
||||
| 406 | pathList = [] |
|
|||
| 407 |
|
||||
| 408 | if not walk: |
|
|||
| 409 | #pathList.append(path) |
|
|||
| 410 | multi_path = path.split(',') |
|
|||
| 411 | for single_path in multi_path: |
|
|||
| 412 | pathList.append(single_path) |
|
|||
| 413 |
|
||||
| 414 | else: |
|
|||
| 415 | #dirList = [] |
|
|||
| 416 | multi_path = path.split(',') |
|
|||
| 417 | for single_path in multi_path: |
|
|||
| 418 | dirList = [] |
|
|||
| 419 | for thisPath in os.listdir(single_path): |
|
|||
| 420 | if not os.path.isdir(os.path.join(single_path,thisPath)): |
|
|||
| 421 | continue |
|
|||
| 422 | if not isDoyFolder(thisPath): |
|
|||
| 423 | continue |
|
|||
| 424 |
|
||||
| 425 | dirList.append(thisPath) |
|
|||
| 426 |
|
||||
| 427 | if not(dirList): |
|
|||
| 428 | return None, None |
|
|||
| 429 |
|
||||
| 430 | thisDate = startDate |
|
|||
| 431 |
|
||||
| 432 | while(thisDate <= endDate): |
|
|||
| 433 | year = thisDate.timetuple().tm_year |
|
|||
| 434 | doy = thisDate.timetuple().tm_yday |
|
|||
| 435 |
|
||||
| 436 | matchlist = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy) + '*') |
|
|||
| 437 | if len(matchlist) == 0: |
|
|||
| 438 | thisDate += datetime.timedelta(1) |
|
|||
| 439 | continue |
|
|||
| 440 | for match in matchlist: |
|
|||
| 441 | pathList.append(os.path.join(single_path,match,expLabel)) |
|
|||
| 442 |
|
||||
| 443 | thisDate += datetime.timedelta(1) |
|
|||
| 444 |
|
||||
| 445 | if pathList == []: |
|
|||
| 446 | print "Any folder was found for the date range: %s-%s" %(startDate, endDate) |
|
|||
| 447 | return None, None |
|
|||
| 448 |
|
||||
| 449 | print "%d folder(s) was(were) found for the date range: %s - %s" %(len(pathList), startDate, endDate) |
|
|||
| 450 |
|
||||
| 451 | filenameList = [] |
|
|||
| 452 | datetimeList = [] |
|
|||
| 453 | pathDict = {} |
|
|||
| 454 | filenameList_to_sort = [] |
|
|||
| 455 |
|
||||
| 456 | for i in range(len(pathList)): |
|
|||
| 457 |
|
||||
| 458 | thisPath = pathList[i] |
|
|||
| 459 |
|
||||
| 460 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|||
| 461 | fileList.sort() |
|
|||
| 462 | pathDict.setdefault(fileList[0]) |
|
|||
| 463 | pathDict[fileList[0]] = i |
|
|||
| 464 | filenameList_to_sort.append(fileList[0]) |
|
|||
| 465 |
|
||||
| 466 | filenameList_to_sort.sort() |
|
|||
| 467 |
|
||||
| 468 | for file in filenameList_to_sort: |
|
|||
| 469 | thisPath = pathList[pathDict[file]] |
|
|||
| 470 |
|
||||
| 471 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|||
| 472 | fileList.sort() |
|
|||
| 473 |
|
||||
| 474 | for file in fileList: |
|
|||
| 475 |
|
||||
| 476 | filename = os.path.join(thisPath,file) |
|
|||
| 477 | thisDatetime = isFileinThisTime(filename, startTime, endTime) |
|
|||
| 478 |
|
||||
| 479 | if not(thisDatetime): |
|
|||
| 480 | continue |
|
|||
| 481 |
|
||||
| 482 | filenameList.append(filename) |
|
|||
| 483 | datetimeList.append(thisDatetime) |
|
|||
| 484 |
|
||||
| 485 | if not(filenameList): |
|
|||
| 486 | print "Any file was found for the time range %s - %s" %(startTime, endTime) |
|
|||
| 487 | return None, None |
|
|||
| 488 |
|
||||
| 489 | print "%d file(s) was(were) found for the time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
|||
| 490 |
|
||||
| 491 |
|
||||
| 492 | for i in range(len(filenameList)): |
|
|||
| 493 | print "%s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|||
| 494 |
|
||||
| 495 | self.filenameList = filenameList |
|
|||
| 496 | self.datetimeList = datetimeList |
|
|||
| 497 |
|
||||
| 498 | return pathList, filenameList |
|
|||
| 499 |
|
||||
| 500 | def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None): |
|
|||
| 501 |
|
||||
| 502 | """ |
|
|||
| 503 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|||
| 504 | devuelve el archivo encontrado ademas de otros datos. |
|
|||
| 505 |
|
||||
| 506 | Input: |
|
|||
| 507 | path : carpeta donde estan contenidos los files que contiene data |
|
|||
| 508 |
|
||||
| 509 | expLabel : Nombre del subexperimento (subfolder) |
|
|||
| 510 |
|
||||
| 511 | ext : extension de los files |
|
|||
| 512 |
|
||||
| 513 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|||
| 514 |
|
||||
| 515 | Return: |
|
|||
| 516 | directory : eL directorio donde esta el file encontrado |
|
|||
| 517 | filename : el ultimo file de una determinada carpeta |
|
|||
| 518 | year : el anho |
|
|||
| 519 | doy : el numero de dia del anho |
|
|||
| 520 | set : el set del archivo |
|
|||
| 521 |
|
||||
| 522 |
|
||||
| 523 | """ |
|
|||
| 524 | dirList = [] |
|
|||
| 525 |
|
||||
| 526 | if not walk: |
|
|||
| 527 | fullpath = path |
|
|||
| 528 | foldercounter = 0 |
|
|||
| 529 | else: |
|
|||
| 530 | #Filtra solo los directorios |
|
|||
| 531 | for thisPath in os.listdir(path): |
|
|||
| 532 | if not os.path.isdir(os.path.join(path,thisPath)): |
|
|||
| 533 | continue |
|
|||
| 534 | if not isDoyFolder(thisPath): |
|
|||
| 535 | continue |
|
|||
| 536 |
|
||||
| 537 | dirList.append(thisPath) |
|
|||
| 538 |
|
||||
| 539 | if not(dirList): |
|
|||
| 540 | return None, None, None, None, None, None |
|
|||
| 541 |
|
||||
| 542 | dirList = sorted( dirList, key=str.lower ) |
|
|||
| 543 |
|
||||
| 544 | doypath = dirList[-1] |
|
|||
| 545 | foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0 |
|
|||
| 546 | fullpath = os.path.join(path, doypath, expLabel) |
|
|||
| 547 |
|
||||
| 548 |
|
||||
| 549 | print "%s folder was found: " %(fullpath ) |
|
|||
| 550 |
|
||||
| 551 | if set == None: |
|
|||
| 552 | filename = getlastFileFromPath(fullpath, ext) |
|
|||
| 553 | else: |
|
|||
| 554 | filename = getFileFromSet(fullpath, ext, set) |
|
|||
| 555 |
|
||||
| 556 | if not(filename): |
|
|||
| 557 | return None, None, None, None, None, None |
|
|||
| 558 |
|
||||
| 559 | print "%s file was found" %(filename) |
|
|||
| 560 |
|
||||
| 561 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
|||
| 562 | return None, None, None, None, None, None |
|
|||
| 563 |
|
||||
| 564 | year = int( filename[1:5] ) |
|
|||
| 565 | doy = int( filename[5:8] ) |
|
|||
| 566 | set = int( filename[8:11] ) |
|
|||
| 567 |
|
||||
| 568 | return fullpath, foldercounter, filename, year, doy, set |
|
|||
| 569 |
|
||||
| 570 | def __setNextFileOffline(self): |
|
|||
| 571 |
|
||||
| 572 | idFile = self.fileIndex |
|
|||
| 573 |
|
||||
| 574 | while (True): |
|
|||
| 575 | idFile += 1 |
|
|||
| 576 | if not(idFile < len(self.filenameList)): |
|
|||
| 577 | self.flagNoMoreFiles = 1 |
|
|||
| 578 | print "No more Files" |
|
|||
| 579 | return 0 |
|
|||
| 580 |
|
||||
| 581 | filename = self.filenameList[idFile] |
|
|||
| 582 |
|
||||
| 583 | if not(self.__verifyFile(filename)): |
|
|||
| 584 | continue |
|
|||
| 585 |
|
||||
| 586 | fileSize = os.path.getsize(filename) |
|
|||
| 587 | fp = open(filename,'rb') |
|
|||
| 588 | break |
|
|||
| 589 |
|
||||
| 590 | self.flagIsNewFile = 1 |
|
|||
| 591 | self.fileIndex = idFile |
|
|||
| 592 | self.filename = filename |
|
|||
| 593 | self.fileSize = fileSize |
|
|||
| 594 | self.fp = fp |
|
|||
| 595 |
|
||||
| 596 | print "Setting the file: %s"%self.filename |
|
|||
| 597 |
|
||||
| 598 | return 1 |
|
|||
| 599 |
|
||||
| 600 | def __setNextFileOnline(self): |
|
|||
| 601 | """ |
|
|||
| 602 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|||
| 603 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|||
| 604 | siguientes. |
|
|||
| 605 |
|
||||
| 606 | Affected: |
|
|||
| 607 | self.flagIsNewFile |
|
|||
| 608 | self.filename |
|
|||
| 609 | self.fileSize |
|
|||
| 610 | self.fp |
|
|||
| 611 | self.set |
|
|||
| 612 | self.flagNoMoreFiles |
|
|||
| 613 |
|
||||
| 614 | Return: |
|
|||
| 615 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|||
| 616 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|||
| 617 |
|
||||
| 618 | Excepciones: |
|
|||
| 619 | Si un determinado file no puede ser abierto |
|
|||
| 620 | """ |
|
|||
| 621 | nFiles = 0 |
|
|||
| 622 | fileOk_flag = False |
|
|||
| 623 | firstTime_flag = True |
|
|||
| 624 |
|
||||
| 625 | self.set += 1 |
|
|||
| 626 |
|
||||
| 627 | if self.set > 999: |
|
|||
| 628 | self.set = 0 |
|
|||
| 629 | self.foldercounter += 1 |
|
|||
| 630 |
|
||||
| 631 | #busca el 1er file disponible |
|
|||
| 632 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|||
| 633 | if fullfilename: |
|
|||
| 634 | if self.__verifyFile(fullfilename, False): |
|
|||
| 635 | fileOk_flag = True |
|
|||
| 636 |
|
||||
| 637 | #si no encuentra un file entonces espera y vuelve a buscar |
|
|||
| 638 | if not(fileOk_flag): |
|
|||
| 639 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
|||
| 640 |
|
||||
| 641 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
|||
| 642 | tries = self.nTries |
|
|||
| 643 | else: |
|
|||
| 644 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
|||
| 645 |
|
||||
| 646 | for nTries in range( tries ): |
|
|||
| 647 | if firstTime_flag: |
|
|||
| 648 | print "\tWaiting %0.2f sec for the file \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
|||
| 649 | time.sleep( self.delay ) |
|
|||
| 650 | else: |
|
|||
| 651 | print "\tSearching next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|||
| 652 |
|
||||
| 653 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|||
| 654 | if fullfilename: |
|
|||
| 655 | if self.__verifyFile(fullfilename): |
|
|||
| 656 | fileOk_flag = True |
|
|||
| 657 | break |
|
|||
| 658 |
|
||||
| 659 | if fileOk_flag: |
|
|||
| 660 | break |
|
|||
| 661 |
|
||||
| 662 | firstTime_flag = False |
|
|||
| 663 |
|
||||
| 664 | print "\tSkipping the file \"%s\" due to this file doesn't exist" % filename |
|
|||
| 665 | self.set += 1 |
|
|||
| 666 |
|
||||
| 667 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|||
| 668 | self.set = 0 |
|
|||
| 669 | self.doy += 1 |
|
|||
| 670 | self.foldercounter = 0 |
|
|||
| 671 |
|
||||
| 672 | if fileOk_flag: |
|
|||
| 673 | self.fileSize = os.path.getsize( fullfilename ) |
|
|||
| 674 | self.filename = fullfilename |
|
|||
| 675 | self.flagIsNewFile = 1 |
|
|||
| 676 | if self.fp != None: self.fp.close() |
|
|||
| 677 | self.fp = open(fullfilename, 'rb') |
|
|||
| 678 | self.flagNoMoreFiles = 0 |
|
|||
| 679 | print 'Setting the file: %s' % fullfilename |
|
|||
| 680 | else: |
|
|||
| 681 | self.fileSize = 0 |
|
|||
| 682 | self.filename = None |
|
|||
| 683 | self.flagIsNewFile = 0 |
|
|||
| 684 | self.fp = None |
|
|||
| 685 | self.flagNoMoreFiles = 1 |
|
|||
| 686 | print 'No more Files' |
|
|||
| 687 |
|
||||
| 688 | return fileOk_flag |
|
|||
| 689 |
|
||||
| 690 |
|
||||
| 691 | def setNextFile(self): |
|
|||
| 692 | if self.fp != None: |
|
|||
| 693 | self.fp.close() |
|
|||
| 694 |
|
||||
| 695 | if self.online: |
|
|||
| 696 | newFile = self.__setNextFileOnline() |
|
|||
| 697 | else: |
|
|||
| 698 | newFile = self.__setNextFileOffline() |
|
|||
| 699 |
|
||||
| 700 | if not(newFile): |
|
|||
| 701 | return 0 |
|
|||
| 702 |
|
||||
| 703 | self.__readFirstHeader() |
|
|||
| 704 | self.nReadBlocks = 0 |
|
|||
| 705 | return 1 |
|
|||
| 706 |
|
||||
| 707 | def __waitNewBlock(self): |
|
|||
| 708 | """ |
|
|||
| 709 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|||
| 710 |
|
||||
| 711 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|||
| 712 | """ |
|
|||
| 713 | if not self.online: |
|
|||
| 714 | return 0 |
|
|||
| 715 |
|
||||
| 716 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|||
| 717 | return 0 |
|
|||
| 718 |
|
||||
| 719 | currentPointer = self.fp.tell() |
|
|||
| 720 |
|
||||
| 721 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|||
| 722 |
|
||||
| 723 | for nTries in range( self.nTries ): |
|
|||
| 724 |
|
||||
| 725 | self.fp.close() |
|
|||
| 726 | self.fp = open( self.filename, 'rb' ) |
|
|||
| 727 | self.fp.seek( currentPointer ) |
|
|||
| 728 |
|
||||
| 729 | self.fileSize = os.path.getsize( self.filename ) |
|
|||
| 730 | currentSize = self.fileSize - currentPointer |
|
|||
| 731 |
|
||||
| 732 | if ( currentSize >= neededSize ): |
|
|||
| 733 | self.__rdBasicHeader() |
|
|||
| 734 | return 1 |
|
|||
| 735 |
|
||||
| 736 | if self.fileSize == self.fileSizeByHeader: |
|
|||
| 737 | # self.flagEoF = True |
|
|||
| 738 | return 0 |
|
|||
| 739 |
|
||||
| 740 | print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|||
| 741 | time.sleep( self.delay ) |
|
|||
| 742 |
|
||||
| 743 |
|
||||
| 744 | return 0 |
|
|||
| 745 |
|
||||
| 746 | def waitDataBlock(self,pointer_location): |
|
|||
| 747 |
|
||||
| 748 | currentPointer = pointer_location |
|
|||
| 749 |
|
||||
| 750 | neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize |
|
|||
| 751 |
|
||||
| 752 | for nTries in range( self.nTries ): |
|
|||
| 753 | self.fp.close() |
|
|||
| 754 | self.fp = open( self.filename, 'rb' ) |
|
|||
| 755 | self.fp.seek( currentPointer ) |
|
|||
| 756 |
|
||||
| 757 | self.fileSize = os.path.getsize( self.filename ) |
|
|||
| 758 | currentSize = self.fileSize - currentPointer |
|
|||
| 759 |
|
||||
| 760 | if ( currentSize >= neededSize ): |
|
|||
| 761 | return 1 |
|
|||
| 762 |
|
||||
| 763 | print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|||
| 764 | time.sleep( self.delay ) |
|
|||
| 765 |
|
||||
| 766 | return 0 |
|
|||
| 767 |
|
||||
| 768 |
|
||||
| 769 | def __jumpToLastBlock(self): |
|
|||
| 770 |
|
||||
| 771 | if not(self.__isFirstTimeOnline): |
|
|||
| 772 | return |
|
|||
| 773 |
|
||||
| 774 | csize = self.fileSize - self.fp.tell() |
|
|||
| 775 | blocksize = self.processingHeaderObj.blockSize |
|
|||
| 776 |
|
||||
| 777 | #salta el primer bloque de datos |
|
|||
| 778 | if csize > self.processingHeaderObj.blockSize: |
|
|||
| 779 | self.fp.seek(self.fp.tell() + blocksize) |
|
|||
| 780 | else: |
|
|||
| 781 | return |
|
|||
| 782 |
|
||||
| 783 | csize = self.fileSize - self.fp.tell() |
|
|||
| 784 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|||
| 785 | while True: |
|
|||
| 786 |
|
||||
| 787 | if self.fp.tell()<self.fileSize: |
|
|||
| 788 | self.fp.seek(self.fp.tell() + neededsize) |
|
|||
| 789 | else: |
|
|||
| 790 | self.fp.seek(self.fp.tell() - neededsize) |
|
|||
| 791 | break |
|
|||
| 792 |
|
||||
| 793 | # csize = self.fileSize - self.fp.tell() |
|
|||
| 794 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|||
| 795 | # factor = int(csize/neededsize) |
|
|||
| 796 | # if factor > 0: |
|
|||
| 797 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
|||
| 798 |
|
||||
| 799 | self.flagIsNewFile = 0 |
|
|||
| 800 | self.__isFirstTimeOnline = 0 |
|
|||
| 801 |
|
||||
| 802 |
|
||||
| 803 | def __setNewBlock(self): |
|
|||
| 804 |
|
||||
| 805 | if self.fp == None: |
|
|||
| 806 | return 0 |
|
|||
| 807 |
|
||||
| 808 | if self.online: |
|
|||
| 809 | self.__jumpToLastBlock() |
|
|||
| 810 |
|
||||
| 811 | if self.flagIsNewFile: |
|
|||
| 812 | return 1 |
|
|||
| 813 |
|
||||
| 814 | self.lastUTTime = self.basicHeaderObj.utc |
|
|||
| 815 | currentSize = self.fileSize - self.fp.tell() |
|
|||
| 816 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|||
| 817 |
|
||||
| 818 | if (currentSize >= neededSize): |
|
|||
| 819 | self.__rdBasicHeader() |
|
|||
| 820 | return 1 |
|
|||
| 821 |
|
||||
| 822 | if self.__waitNewBlock(): |
|
|||
| 823 | return 1 |
|
|||
| 824 |
|
||||
| 825 | if not(self.setNextFile()): |
|
|||
| 826 | return 0 |
|
|||
| 827 |
|
||||
| 828 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
|||
| 829 |
|
||||
| 830 | self.flagTimeBlock = 0 |
|
|||
| 831 |
|
||||
| 832 | if deltaTime > self.maxTimeStep: |
|
|||
| 833 | self.flagTimeBlock = 1 |
|
|||
| 834 |
|
||||
| 835 | return 1 |
|
|||
| 836 |
|
||||
| 837 |
|
||||
| 838 | def readNextBlock(self): |
|
|||
| 839 | if not(self.__setNewBlock()): |
|
|||
| 840 | return 0 |
|
|||
| 841 |
|
||||
| 842 | if not(self.readBlock()): |
|
|||
| 843 | return 0 |
|
|||
| 844 |
|
||||
| 845 | return 1 |
|
|||
| 846 |
|
||||
| 847 | def __rdProcessingHeader(self, fp=None): |
|
|||
| 848 | if fp == None: |
|
|||
| 849 | fp = self.fp |
|
|||
| 850 |
|
||||
| 851 | self.processingHeaderObj.read(fp) |
|
|||
| 852 |
|
||||
| 853 | def __rdRadarControllerHeader(self, fp=None): |
|
|||
| 854 | if fp == None: |
|
|||
| 855 | fp = self.fp |
|
|||
| 856 |
|
||||
| 857 | self.radarControllerHeaderObj.read(fp) |
|
|||
| 858 |
|
||||
| 859 | def __rdSystemHeader(self, fp=None): |
|
|||
| 860 | if fp == None: |
|
|||
| 861 | fp = self.fp |
|
|||
| 862 |
|
||||
| 863 | self.systemHeaderObj.read(fp) |
|
|||
| 864 |
|
||||
| 865 | def __rdBasicHeader(self, fp=None): |
|
|||
| 866 | if fp == None: |
|
|||
| 867 | fp = self.fp |
|
|||
| 868 |
|
||||
| 869 | self.basicHeaderObj.read(fp) |
|
|||
| 870 |
|
||||
| 871 |
|
||||
| 872 | def __readFirstHeader(self): |
|
|||
| 873 | self.__rdBasicHeader() |
|
|||
| 874 | self.__rdSystemHeader() |
|
|||
| 875 | self.__rdRadarControllerHeader() |
|
|||
| 876 | self.__rdProcessingHeader() |
|
|||
| 877 |
|
||||
| 878 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|||
| 879 |
|
||||
| 880 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|||
| 881 | if datatype == 0: |
|
|||
| 882 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|||
| 883 | elif datatype == 1: |
|
|||
| 884 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|||
| 885 | elif datatype == 2: |
|
|||
| 886 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|||
| 887 | elif datatype == 3: |
|
|||
| 888 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|||
| 889 | elif datatype == 4: |
|
|||
| 890 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|||
| 891 | elif datatype == 5: |
|
|||
| 892 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|||
| 893 | else: |
|
|||
| 894 | raise ValueError, 'Data type was not defined' |
|
|||
| 895 |
|
||||
| 896 | self.dtype = datatype_str |
|
|||
| 897 | self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|||
| 898 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|||
| 899 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|||
| 900 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|||
| 901 | self.getBlockDimension() |
|
|||
| 902 |
|
||||
| 903 |
|
||||
| 904 | def __verifyFile(self, filename, msgFlag=True): |
|
|||
| 905 | msg = None |
|
|||
| 906 | try: |
|
|||
| 907 | fp = open(filename, 'rb') |
|
|||
| 908 | currentPosition = fp.tell() |
|
|||
| 909 | except: |
|
|||
| 910 | if msgFlag: |
|
|||
| 911 | print "The file %s can't be opened" % (filename) |
|
|||
| 912 | return False |
|
|||
| 913 |
|
||||
| 914 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|||
| 915 |
|
||||
| 916 | if neededSize == 0: |
|
|||
| 917 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|||
| 918 | systemHeaderObj = SystemHeader() |
|
|||
| 919 | radarControllerHeaderObj = RadarControllerHeader() |
|
|||
| 920 | processingHeaderObj = ProcessingHeader() |
|
|||
| 921 |
|
||||
| 922 | try: |
|
|||
| 923 | if not( basicHeaderObj.read(fp) ): raise IOError |
|
|||
| 924 | if not( systemHeaderObj.read(fp) ): raise IOError |
|
|||
| 925 | if not( radarControllerHeaderObj.read(fp) ): raise IOError |
|
|||
| 926 | if not( processingHeaderObj.read(fp) ): raise IOError |
|
|||
| 927 | data_type = int(numpy.log2((processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|||
| 928 |
|
||||
| 929 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|||
| 930 |
|
||||
| 931 | except: |
|
|||
| 932 | if msgFlag: |
|
|||
| 933 | print "\tThe file %s is empty or it hasn't enough data" % filename |
|
|||
| 934 |
|
||||
| 935 | fp.close() |
|
|||
| 936 | return False |
|
|||
| 937 | else: |
|
|||
| 938 | msg = "\tSkipping the file %s due to it hasn't enough data" %filename |
|
|||
| 939 |
|
||||
| 940 | fp.close() |
|
|||
| 941 | fileSize = os.path.getsize(filename) |
|
|||
| 942 | currentSize = fileSize - currentPosition |
|
|||
| 943 | if currentSize < neededSize: |
|
|||
| 944 | if msgFlag and (msg != None): |
|
|||
| 945 | print msg #print"\tSkipping the file %s due to it hasn't enough data" %filename |
|
|||
| 946 | return False |
|
|||
| 947 |
|
||||
| 948 | return True |
|
|||
| 949 |
|
||||
| 950 | def setup(self, |
|
|||
| 951 | path=None, |
|
|||
| 952 | startDate=None, |
|
|||
| 953 | endDate=None, |
|
|||
| 954 | startTime=datetime.time(0,0,0), |
|
|||
| 955 | endTime=datetime.time(23,59,59), |
|
|||
| 956 | set=None, |
|
|||
| 957 | expLabel = "", |
|
|||
| 958 | ext = None, |
|
|||
| 959 | online = False, |
|
|||
| 960 | delay = 60, |
|
|||
| 961 | walk = True): |
|
|||
| 962 |
|
||||
| 963 | if path == None: |
|
|||
| 964 | raise ValueError, "The path is not valid" |
|
|||
| 965 |
|
||||
| 966 | if ext == None: |
|
|||
| 967 | ext = self.ext |
|
|||
| 968 |
|
||||
| 969 | if online: |
|
|||
| 970 | print "Searching files in online mode..." |
|
|||
| 971 |
|
||||
| 972 | for nTries in range( self.nTries ): |
|
|||
| 973 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
|||
| 974 |
|
||||
| 975 | if fullpath: |
|
|||
| 976 | break |
|
|||
| 977 |
|
||||
| 978 | print '\tWaiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
|||
| 979 | time.sleep( self.delay ) |
|
|||
| 980 |
|
||||
| 981 | if not(fullpath): |
|
|||
| 982 | print "There 'isn't valied files in %s" % path |
|
|||
| 983 | return None |
|
|||
| 984 |
|
||||
| 985 | self.year = year |
|
|||
| 986 | self.doy = doy |
|
|||
| 987 | self.set = set - 1 |
|
|||
| 988 | self.path = path |
|
|||
| 989 | self.foldercounter = foldercounter |
|
|||
| 990 | last_set = None |
|
|||
| 991 |
|
||||
| 992 | else: |
|
|||
| 993 | print "Searching files in offline mode ..." |
|
|||
| 994 | pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|||
| 995 | startTime=startTime, endTime=endTime, |
|
|||
| 996 | set=set, expLabel=expLabel, ext=ext, |
|
|||
| 997 | walk=walk) |
|
|||
| 998 |
|
||||
| 999 | if not(pathList): |
|
|||
| 1000 | print "No *%s files into the folder %s \nfor the range: %s - %s"%(ext, path, |
|
|||
| 1001 | datetime.datetime.combine(startDate,startTime).ctime(), |
|
|||
| 1002 | datetime.datetime.combine(endDate,endTime).ctime()) |
|
|||
| 1003 |
|
||||
| 1004 | sys.exit(-1) |
|
|||
| 1005 |
|
||||
| 1006 |
|
||||
| 1007 | self.fileIndex = -1 |
|
|||
| 1008 | self.pathList = pathList |
|
|||
| 1009 | self.filenameList = filenameList |
|
|||
| 1010 | file_name = os.path.basename(filenameList[-1]) |
|
|||
| 1011 | basename, ext = os.path.splitext(file_name) |
|
|||
| 1012 | last_set = int(basename[-3:]) |
|
|||
| 1013 |
|
||||
| 1014 | self.online = online |
|
|||
| 1015 | self.delay = delay |
|
|||
| 1016 | ext = ext.lower() |
|
|||
| 1017 | self.ext = ext |
|
|||
| 1018 |
|
||||
| 1019 | if not(self.setNextFile()): |
|
|||
| 1020 | if (startDate!=None) and (endDate!=None): |
|
|||
| 1021 | print "No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|||
| 1022 | elif startDate != None: |
|
|||
| 1023 | print "No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|||
| 1024 | else: |
|
|||
| 1025 | print "No files" |
|
|||
| 1026 |
|
||||
| 1027 | sys.exit(-1) |
|
|||
| 1028 |
|
||||
| 1029 | # self.updateDataHeader() |
|
|||
| 1030 | if last_set != None: |
|
|||
| 1031 | self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
|||
| 1032 | return self.dataOut |
|
|||
| 1033 |
|
||||
| 1034 | def getBasicHeader(self): |
|
|||
| 1035 |
|
||||
| 1036 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.ippSeconds |
|
|||
| 1037 |
|
||||
| 1038 | self.dataOut.flagTimeBlock = self.flagTimeBlock |
|
|||
| 1039 |
|
||||
| 1040 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|||
| 1041 |
|
||||
| 1042 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|||
| 1043 |
|
||||
| 1044 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|||
| 1045 |
|
||||
| 1046 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|||
| 1047 |
|
||||
| 1048 | def getFirstHeader(self): |
|
|||
| 1049 |
|
||||
| 1050 | raise ValueError, "This method has not been implemented" |
|
|||
| 1051 |
|
||||
| 1052 | def getData(): |
|
|||
| 1053 |
|
||||
| 1054 | raise ValueError, "This method has not been implemented" |
|
|||
| 1055 |
|
||||
| 1056 | def hasNotDataInBuffer(): |
|
|||
| 1057 |
|
||||
| 1058 | raise ValueError, "This method has not been implemented" |
|
|||
| 1059 |
|
||||
| 1060 | def readBlock(): |
|
|||
| 1061 |
|
||||
| 1062 | raise ValueError, "This method has not been implemented" |
|
|||
| 1063 |
|
||||
| 1064 | def isEndProcess(self): |
|
|||
| 1065 |
|
||||
| 1066 | return self.flagNoMoreFiles |
|
|||
| 1067 |
|
||||
| 1068 | def printReadBlocks(self): |
|
|||
| 1069 |
|
||||
| 1070 | print "Number of read blocks per file %04d" %self.nReadBlocks |
|
|||
| 1071 |
|
||||
| 1072 | def printTotalBlocks(self): |
|
|||
| 1073 |
|
||||
| 1074 | print "Number of read blocks %04d" %self.nTotalBlocks |
|
|||
| 1075 |
|
||||
| 1076 | def printNumberOfBlock(self): |
|
|||
| 1077 |
|
||||
| 1078 | if self.flagIsNewBlock: |
|
|||
| 1079 | print "Block No. %04d, Total blocks %04d -> %s" %(self.basicHeaderObj.dataBlock, self.nTotalBlocks, self.dataOut.datatime.ctime()) |
|
|||
| 1080 | self.dataOut.blocknow = self.basicHeaderObj.dataBlock |
|
|||
| 1081 | def printInfo(self): |
|
|||
| 1082 |
|
||||
| 1083 | if self.__printInfo == False: |
|
|||
| 1084 | return |
|
|||
| 1085 |
|
||||
| 1086 | self.basicHeaderObj.printInfo() |
|
|||
| 1087 | self.systemHeaderObj.printInfo() |
|
|||
| 1088 | self.radarControllerHeaderObj.printInfo() |
|
|||
| 1089 | self.processingHeaderObj.printInfo() |
|
|||
| 1090 |
|
||||
| 1091 | self.__printInfo = False |
|
|||
| 1092 |
|
||||
| 1093 |
|
||||
| 1094 | def run(self, **kwargs): |
|
|||
| 1095 |
|
||||
| 1096 | if not(self.isConfig): |
|
|||
| 1097 |
|
||||
| 1098 | # self.dataOut = dataOut |
|
|||
| 1099 | self.setup(**kwargs) |
|
|||
| 1100 | self.isConfig = True |
|
|||
| 1101 |
|
||||
| 1102 | self.getData() |
|
|||
| 1103 |
|
||||
| 1104 | class JRODataWriter(JRODataIO, Operation): |
|
|||
| 1105 |
|
||||
| 1106 | """ |
|
|||
| 1107 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|||
| 1108 | de los datos siempre se realiza por bloques. |
|
|||
| 1109 | """ |
|
|||
| 1110 |
|
||||
| 1111 | blockIndex = 0 |
|
|||
| 1112 |
|
||||
| 1113 | path = None |
|
|||
| 1114 |
|
||||
| 1115 | setFile = None |
|
|||
| 1116 |
|
||||
| 1117 | profilesPerBlock = None |
|
|||
| 1118 |
|
||||
| 1119 | blocksPerFile = None |
|
|||
| 1120 |
|
||||
| 1121 | nWriteBlocks = 0 |
|
|||
| 1122 |
|
||||
| 1123 | def __init__(self, dataOut=None): |
|
|||
| 1124 | raise ValueError, "Not implemented" |
|
|||
| 1125 |
|
||||
| 1126 |
|
||||
| 1127 | def hasAllDataInBuffer(self): |
|
|||
| 1128 | raise ValueError, "Not implemented" |
|
|||
| 1129 |
|
||||
| 1130 |
|
||||
| 1131 | def setBlockDimension(self): |
|
|||
| 1132 | raise ValueError, "Not implemented" |
|
|||
| 1133 |
|
||||
| 1134 |
|
||||
| 1135 | def writeBlock(self): |
|
|||
| 1136 | raise ValueError, "No implemented" |
|
|||
| 1137 |
|
||||
| 1138 |
|
||||
| 1139 | def putData(self): |
|
|||
| 1140 | raise ValueError, "No implemented" |
|
|||
| 1141 |
|
||||
| 1142 |
|
||||
| 1143 | def setBasicHeader(self): |
|
|||
| 1144 |
|
||||
| 1145 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
|||
| 1146 | self.basicHeaderObj.version = self.versionFile |
|
|||
| 1147 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|||
| 1148 |
|
||||
| 1149 | utc = numpy.floor(self.dataOut.utctime) |
|
|||
| 1150 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
|||
| 1151 |
|
||||
| 1152 | self.basicHeaderObj.utc = utc |
|
|||
| 1153 | self.basicHeaderObj.miliSecond = milisecond |
|
|||
| 1154 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|||
| 1155 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|||
| 1156 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|||
| 1157 |
|
||||
| 1158 | def setFirstHeader(self): |
|
|||
| 1159 | """ |
|
|||
| 1160 | Obtiene una copia del First Header |
|
|||
| 1161 |
|
||||
| 1162 | Affected: |
|
|||
| 1163 |
|
||||
| 1164 | self.basicHeaderObj |
|
|||
| 1165 | self.systemHeaderObj |
|
|||
| 1166 | self.radarControllerHeaderObj |
|
|||
| 1167 | self.processingHeaderObj self. |
|
|||
| 1168 |
|
||||
| 1169 | Return: |
|
|||
| 1170 | None |
|
|||
| 1171 | """ |
|
|||
| 1172 |
|
||||
| 1173 | raise ValueError, "No implemented" |
|
|||
| 1174 |
|
||||
| 1175 | def __writeFirstHeader(self): |
|
|||
| 1176 | """ |
|
|||
| 1177 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|||
| 1178 |
|
||||
| 1179 | Affected: |
|
|||
| 1180 | __dataType |
|
|||
| 1181 |
|
||||
| 1182 | Return: |
|
|||
| 1183 | None |
|
|||
| 1184 | """ |
|
|||
| 1185 |
|
||||
| 1186 | # CALCULAR PARAMETROS |
|
|||
| 1187 |
|
||||
| 1188 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|||
| 1189 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|||
| 1190 |
|
||||
| 1191 | self.basicHeaderObj.write(self.fp) |
|
|||
| 1192 | self.systemHeaderObj.write(self.fp) |
|
|||
| 1193 | self.radarControllerHeaderObj.write(self.fp) |
|
|||
| 1194 | self.processingHeaderObj.write(self.fp) |
|
|||
| 1195 |
|
||||
| 1196 | self.dtype = self.dataOut.dtype |
|
|||
| 1197 |
|
||||
| 1198 | def __setNewBlock(self): |
|
|||
| 1199 | """ |
|
|||
| 1200 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|||
| 1201 |
|
||||
| 1202 | Return: |
|
|||
| 1203 | 0 : si no pudo escribir nada |
|
|||
| 1204 | 1 : Si escribio el Basic el First Header |
|
|||
| 1205 | """ |
|
|||
| 1206 | if self.fp == None: |
|
|||
| 1207 | self.setNextFile() |
|
|||
| 1208 |
|
||||
| 1209 | if self.flagIsNewFile: |
|
|||
| 1210 | return 1 |
|
|||
| 1211 |
|
||||
| 1212 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|||
| 1213 | self.basicHeaderObj.write(self.fp) |
|
|||
| 1214 | return 1 |
|
|||
| 1215 |
|
||||
| 1216 | if not( self.setNextFile() ): |
|
|||
| 1217 | return 0 |
|
|||
| 1218 |
|
||||
| 1219 | return 1 |
|
|||
| 1220 |
|
||||
| 1221 |
|
||||
| 1222 | def writeNextBlock(self): |
|
|||
| 1223 | """ |
|
|||
| 1224 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|||
| 1225 |
|
||||
| 1226 | Return: |
|
|||
| 1227 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|||
| 1228 | 1 : Si no pudo escribir el bloque de datos |
|
|||
| 1229 | """ |
|
|||
| 1230 | if not( self.__setNewBlock() ): |
|
|||
| 1231 | return 0 |
|
|||
| 1232 |
|
||||
| 1233 | self.writeBlock() |
|
|||
| 1234 |
|
||||
| 1235 | return 1 |
|
|||
| 1236 |
|
||||
| 1237 | def setNextFile(self): |
|
|||
| 1238 | """ |
|
|||
| 1239 | Determina el siguiente file que sera escrito |
|
|||
| 1240 |
|
||||
| 1241 | Affected: |
|
|||
| 1242 | self.filename |
|
|||
| 1243 | self.subfolder |
|
|||
| 1244 | self.fp |
|
|||
| 1245 | self.setFile |
|
|||
| 1246 | self.flagIsNewFile |
|
|||
| 1247 |
|
||||
| 1248 | Return: |
|
|||
| 1249 | 0 : Si el archivo no puede ser escrito |
|
|||
| 1250 | 1 : Si el archivo esta listo para ser escrito |
|
|||
| 1251 | """ |
|
|||
| 1252 | ext = self.ext |
|
|||
| 1253 | path = self.path |
|
|||
| 1254 |
|
||||
| 1255 | if self.fp != None: |
|
|||
| 1256 | self.fp.close() |
|
|||
| 1257 |
|
||||
| 1258 | timeTuple = time.localtime( self.dataOut.utctime) |
|
|||
| 1259 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|||
| 1260 |
|
||||
| 1261 | fullpath = os.path.join( path, subfolder ) |
|
|||
| 1262 | if not( os.path.exists(fullpath) ): |
|
|||
| 1263 | os.mkdir(fullpath) |
|
|||
| 1264 | self.setFile = -1 #inicializo mi contador de seteo |
|
|||
| 1265 | else: |
|
|||
| 1266 | filesList = os.listdir( fullpath ) |
|
|||
| 1267 | if len( filesList ) > 0: |
|
|||
| 1268 | filesList = sorted( filesList, key=str.lower ) |
|
|||
| 1269 | filen = filesList[-1] |
|
|||
| 1270 | # el filename debera tener el siguiente formato |
|
|||
| 1271 | # 0 1234 567 89A BCDE (hex) |
|
|||
| 1272 | # x YYYY DDD SSS .ext |
|
|||
| 1273 | if isNumber( filen[8:11] ): |
|
|||
| 1274 | self.setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|||
| 1275 | else: |
|
|||
| 1276 | self.setFile = -1 |
|
|||
| 1277 | else: |
|
|||
| 1278 | self.setFile = -1 #inicializo mi contador de seteo |
|
|||
| 1279 |
|
||||
| 1280 | setFile = self.setFile |
|
|||
| 1281 | setFile += 1 |
|
|||
| 1282 |
|
||||
| 1283 | file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, |
|
|||
| 1284 | timeTuple.tm_year, |
|
|||
| 1285 | timeTuple.tm_yday, |
|
|||
| 1286 | setFile, |
|
|||
| 1287 | ext ) |
|
|||
| 1288 |
|
||||
| 1289 | filename = os.path.join( path, subfolder, file ) |
|
|||
| 1290 |
|
||||
| 1291 | fp = open( filename,'wb' ) |
|
|||
| 1292 |
|
||||
| 1293 | self.blockIndex = 0 |
|
|||
| 1294 |
|
||||
| 1295 | #guardando atributos |
|
|||
| 1296 | self.filename = filename |
|
|||
| 1297 | self.subfolder = subfolder |
|
|||
| 1298 | self.fp = fp |
|
|||
| 1299 | self.setFile = setFile |
|
|||
| 1300 | self.flagIsNewFile = 1 |
|
|||
| 1301 |
|
||||
| 1302 | self.setFirstHeader() |
|
|||
| 1303 |
|
||||
| 1304 | print 'Writing the file: %s'%self.filename |
|
|||
| 1305 |
|
||||
| 1306 | self.__writeFirstHeader() |
|
|||
| 1307 |
|
||||
| 1308 | return 1 |
|
|||
| 1309 |
|
||||
| 1310 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=0, ext=None): |
|
|||
| 1311 | """ |
|
|||
| 1312 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|||
| 1313 |
|
||||
| 1314 | Inputs: |
|
|||
| 1315 | path : el path destino en el cual se escribiran los files a crear |
|
|||
| 1316 | format : formato en el cual sera salvado un file |
|
|||
| 1317 | set : el setebo del file |
|
|||
| 1318 |
|
||||
| 1319 | Return: |
|
|||
| 1320 | 0 : Si no realizo un buen seteo |
|
|||
| 1321 | 1 : Si realizo un buen seteo |
|
|||
| 1322 | """ |
|
|||
| 1323 |
|
||||
| 1324 | if ext == None: |
|
|||
| 1325 | ext = self.ext |
|
|||
| 1326 |
|
||||
| 1327 | ext = ext.lower() |
|
|||
| 1328 |
|
||||
| 1329 | self.ext = ext |
|
|||
| 1330 |
|
||||
| 1331 | self.path = path |
|
|||
| 1332 |
|
||||
| 1333 | self.setFile = set - 1 |
|
|||
| 1334 |
|
||||
| 1335 | self.blocksPerFile = blocksPerFile |
|
|||
| 1336 |
|
||||
| 1337 | self.profilesPerBlock = profilesPerBlock |
|
|||
| 1338 |
|
||||
| 1339 | self.dataOut = dataOut |
|
|||
| 1340 |
|
||||
| 1341 | if not(self.setNextFile()): |
|
|||
| 1342 | print "There isn't a next file" |
|
|||
| 1343 | return 0 |
|
|||
| 1344 |
|
||||
| 1345 | self.setBlockDimension() |
|
|||
| 1346 |
|
||||
| 1347 | return 1 |
|
|||
| 1348 |
|
||||
| 1349 | def run(self, dataOut, **kwargs): |
|
|||
| 1350 |
|
||||
| 1351 | if not(self.isConfig): |
|
|||
| 1352 |
|
||||
| 1353 | self.setup(dataOut, **kwargs) |
|
|||
| 1354 | self.isConfig = True |
|
|||
| 1355 |
|
||||
| 1356 | self.putData() |
|
|||
| 1357 |
|
||||
| 1358 | class VoltageReader(JRODataReader): |
|
|||
| 1359 | """ |
|
|||
| 1360 | Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura |
|
|||
| 1361 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones: |
|
|||
| 1362 | perfiles*alturas*canales) son almacenados en la variable "buffer". |
|
|||
| 1363 |
|
||||
| 1364 | perfiles * alturas * canales |
|
|||
| 1365 |
|
||||
| 1366 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|||
| 1367 | RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la |
|
|||
| 1368 | cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de |
|
|||
| 1369 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|||
| 1370 |
|
||||
| 1371 | Example: |
|
|||
| 1372 |
|
||||
| 1373 | dpath = "/home/myuser/data" |
|
|||
| 1374 |
|
||||
| 1375 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|||
| 1376 |
|
||||
| 1377 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|||
| 1378 |
|
||||
| 1379 | readerObj = VoltageReader() |
|
|||
| 1380 |
|
||||
| 1381 | readerObj.setup(dpath, startTime, endTime) |
|
|||
| 1382 |
|
||||
| 1383 | while(True): |
|
|||
| 1384 |
|
||||
| 1385 | #to get one profile |
|
|||
| 1386 | profile = readerObj.getData() |
|
|||
| 1387 |
|
||||
| 1388 | #print the profile |
|
|||
| 1389 | print profile |
|
|||
| 1390 |
|
||||
| 1391 | #If you want to see all datablock |
|
|||
| 1392 | print readerObj.datablock |
|
|||
| 1393 |
|
||||
| 1394 | if readerObj.flagNoMoreFiles: |
|
|||
| 1395 | break |
|
|||
| 1396 |
|
||||
| 1397 | """ |
|
|||
| 1398 |
|
||||
| 1399 | ext = ".r" |
|
|||
| 1400 |
|
||||
| 1401 | optchar = "D" |
|
|||
| 1402 | dataOut = None |
|
|||
| 1403 |
|
||||
| 1404 |
|
||||
| 1405 | def __init__(self): |
|
|||
| 1406 | """ |
|
|||
| 1407 | Inicializador de la clase VoltageReader para la lectura de datos de voltage. |
|
|||
| 1408 |
|
||||
| 1409 | Input: |
|
|||
| 1410 | dataOut : Objeto de la clase Voltage. Este objeto sera utilizado para |
|
|||
| 1411 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|||
| 1412 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|||
| 1413 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|||
| 1414 | bloque de datos. |
|
|||
| 1415 | Si este parametro no es pasado se creara uno internamente. |
|
|||
| 1416 |
|
||||
| 1417 | Variables afectadas: |
|
|||
| 1418 | self.dataOut |
|
|||
| 1419 |
|
||||
| 1420 | Return: |
|
|||
| 1421 | None |
|
|||
| 1422 | """ |
|
|||
| 1423 |
|
||||
| 1424 | self.isConfig = False |
|
|||
| 1425 |
|
||||
| 1426 | self.datablock = None |
|
|||
| 1427 |
|
||||
| 1428 | self.utc = 0 |
|
|||
| 1429 |
|
||||
| 1430 | self.ext = ".r" |
|
|||
| 1431 |
|
||||
| 1432 | self.optchar = "D" |
|
|||
| 1433 |
|
||||
| 1434 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|||
| 1435 |
|
||||
| 1436 | self.systemHeaderObj = SystemHeader() |
|
|||
| 1437 |
|
||||
| 1438 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|||
| 1439 |
|
||||
| 1440 | self.processingHeaderObj = ProcessingHeader() |
|
|||
| 1441 |
|
||||
| 1442 | self.online = 0 |
|
|||
| 1443 |
|
||||
| 1444 | self.fp = None |
|
|||
| 1445 |
|
||||
| 1446 | self.idFile = None |
|
|||
| 1447 |
|
||||
| 1448 | self.dtype = None |
|
|||
| 1449 |
|
||||
| 1450 | self.fileSizeByHeader = None |
|
|||
| 1451 |
|
||||
| 1452 | self.filenameList = [] |
|
|||
| 1453 |
|
||||
| 1454 | self.filename = None |
|
|||
| 1455 |
|
||||
| 1456 | self.fileSize = None |
|
|||
| 1457 |
|
||||
| 1458 | self.firstHeaderSize = 0 |
|
|||
| 1459 |
|
||||
| 1460 | self.basicHeaderSize = 24 |
|
|||
| 1461 |
|
||||
| 1462 | self.pathList = [] |
|
|||
| 1463 |
|
||||
| 1464 | self.filenameList = [] |
|
|||
| 1465 |
|
||||
| 1466 | self.lastUTTime = 0 |
|
|||
| 1467 |
|
||||
| 1468 | self.maxTimeStep = 30 |
|
|||
| 1469 |
|
||||
| 1470 | self.flagNoMoreFiles = 0 |
|
|||
| 1471 |
|
||||
| 1472 | self.set = 0 |
|
|||
| 1473 |
|
||||
| 1474 | self.path = None |
|
|||
| 1475 |
|
||||
| 1476 | self.profileIndex = 2**32-1 |
|
|||
| 1477 |
|
||||
| 1478 | self.delay = 3 #seconds |
|
|||
| 1479 |
|
||||
| 1480 | self.nTries = 3 #quantity tries |
|
|||
| 1481 |
|
||||
| 1482 | self.nFiles = 3 #number of files for searching |
|
|||
| 1483 |
|
||||
| 1484 | self.nReadBlocks = 0 |
|
|||
| 1485 |
|
||||
| 1486 | self.flagIsNewFile = 1 |
|
|||
| 1487 |
|
||||
| 1488 | self.__isFirstTimeOnline = 1 |
|
|||
| 1489 |
|
||||
| 1490 | self.ippSeconds = 0 |
|
|||
| 1491 |
|
||||
| 1492 | self.flagTimeBlock = 0 |
|
|||
| 1493 |
|
||||
| 1494 | self.flagIsNewBlock = 0 |
|
|||
| 1495 |
|
||||
| 1496 | self.nTotalBlocks = 0 |
|
|||
| 1497 |
|
||||
| 1498 | self.blocksize = 0 |
|
|||
| 1499 |
|
||||
| 1500 | self.dataOut = self.createObjByDefault() |
|
|||
| 1501 |
|
||||
| 1502 | def createObjByDefault(self): |
|
|||
| 1503 |
|
||||
| 1504 | dataObj = Voltage() |
|
|||
| 1505 |
|
||||
| 1506 | return dataObj |
|
|||
| 1507 |
|
||||
| 1508 | def __hasNotDataInBuffer(self): |
|
|||
| 1509 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|||
| 1510 | return 1 |
|
|||
| 1511 | return 0 |
|
|||
| 1512 |
|
||||
| 1513 |
|
||||
| 1514 | def getBlockDimension(self): |
|
|||
| 1515 | """ |
|
|||
| 1516 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|||
| 1517 |
|
||||
| 1518 | Affected: |
|
|||
| 1519 | self.blocksize |
|
|||
| 1520 |
|
||||
| 1521 | Return: |
|
|||
| 1522 | None |
|
|||
| 1523 | """ |
|
|||
| 1524 | pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels |
|
|||
| 1525 | self.blocksize = pts2read |
|
|||
| 1526 |
|
||||
| 1527 |
|
||||
| 1528 | def readBlock(self): |
|
|||
| 1529 | """ |
|
|||
| 1530 | readBlock lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|||
| 1531 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|||
| 1532 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|||
| 1533 | es seteado a 0 |
|
|||
| 1534 |
|
||||
| 1535 | Inputs: |
|
|||
| 1536 | None |
|
|||
| 1537 |
|
||||
| 1538 | Return: |
|
|||
| 1539 | None |
|
|||
| 1540 |
|
||||
| 1541 | Affected: |
|
|||
| 1542 | self.profileIndex |
|
|||
| 1543 | self.datablock |
|
|||
| 1544 | self.flagIsNewFile |
|
|||
| 1545 | self.flagIsNewBlock |
|
|||
| 1546 | self.nTotalBlocks |
|
|||
| 1547 |
|
||||
| 1548 | Exceptions: |
|
|||
| 1549 | Si un bloque leido no es un bloque valido |
|
|||
| 1550 | """ |
|
|||
| 1551 | current_pointer_location = self.fp.tell() |
|
|||
| 1552 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|||
| 1553 |
|
||||
| 1554 | try: |
|
|||
| 1555 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|||
| 1556 | except: |
|
|||
| 1557 | #print "The read block (%3d) has not enough data" %self.nReadBlocks |
|
|||
| 1558 |
|
||||
| 1559 | if self.waitDataBlock(pointer_location=current_pointer_location): |
|
|||
| 1560 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|||
| 1561 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|||
| 1562 | # return 0 |
|
|||
| 1563 |
|
||||
| 1564 | junk = numpy.transpose(junk, (2,0,1)) |
|
|||
| 1565 | self.datablock = junk['real'] + junk['imag']*1j |
|
|||
| 1566 |
|
||||
| 1567 | self.profileIndex = 0 |
|
|||
| 1568 |
|
||||
| 1569 | self.flagIsNewFile = 0 |
|
|||
| 1570 | self.flagIsNewBlock = 1 |
|
|||
| 1571 |
|
||||
| 1572 | self.nTotalBlocks += 1 |
|
|||
| 1573 | self.nReadBlocks += 1 |
|
|||
| 1574 |
|
||||
| 1575 | return 1 |
|
|||
| 1576 |
|
||||
| 1577 | def getFirstHeader(self): |
|
|||
| 1578 |
|
||||
| 1579 | self.dataOut.dtype = self.dtype |
|
|||
| 1580 |
|
||||
| 1581 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|||
| 1582 |
|
||||
| 1583 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|||
| 1584 |
|
||||
| 1585 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|||
| 1586 |
|
||||
| 1587 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|||
| 1588 |
|
||||
| 1589 | self.dataOut.ippSeconds = self.ippSeconds |
|
|||
| 1590 |
|
||||
| 1591 | self.dataOut.timeInterval = self.ippSeconds * self.processingHeaderObj.nCohInt |
|
|||
| 1592 |
|
||||
| 1593 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|||
| 1594 |
|
||||
| 1595 | self.dataOut.flagShiftFFT = False |
|
|||
| 1596 |
|
||||
| 1597 | if self.radarControllerHeaderObj.code != None: |
|
|||
| 1598 |
|
||||
| 1599 | self.dataOut.nCode = self.radarControllerHeaderObj.nCode |
|
|||
| 1600 |
|
||||
| 1601 | self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud |
|
|||
| 1602 |
|
||||
| 1603 | self.dataOut.code = self.radarControllerHeaderObj.code |
|
|||
| 1604 |
|
||||
| 1605 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|||
| 1606 |
|
||||
| 1607 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|||
| 1608 |
|
||||
| 1609 | self.dataOut.flagDecodeData = False #asumo q la data no esta decodificada |
|
|||
| 1610 |
|
||||
| 1611 | self.dataOut.flagDeflipData = False #asumo q la data no esta sin flip |
|
|||
| 1612 |
|
||||
| 1613 | self.dataOut.flagShiftFFT = False |
|
|||
| 1614 |
|
||||
| 1615 | def getData(self): |
|
|||
| 1616 | """ |
|
|||
| 1617 | getData obtiene una unidad de datos del buffer de lectura y la copia a la clase "Voltage" |
|
|||
| 1618 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|||
| 1619 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|||
| 1620 |
|
||||
| 1621 | Ademas incrementa el contador del buffer en 1. |
|
|||
| 1622 |
|
||||
| 1623 | Return: |
|
|||
| 1624 | data : retorna un perfil de voltages (alturas * canales) copiados desde el |
|
|||
| 1625 | buffer. Si no hay mas archivos a leer retorna None. |
|
|||
| 1626 |
|
||||
| 1627 | Variables afectadas: |
|
|||
| 1628 | self.dataOut |
|
|||
| 1629 | self.profileIndex |
|
|||
| 1630 |
|
||||
| 1631 | Affected: |
|
|||
| 1632 | self.dataOut |
|
|||
| 1633 | self.profileIndex |
|
|||
| 1634 | self.flagTimeBlock |
|
|||
| 1635 | self.flagIsNewBlock |
|
|||
| 1636 | """ |
|
|||
| 1637 |
|
||||
| 1638 | if self.flagNoMoreFiles: |
|
|||
| 1639 | self.dataOut.flagNoData = True |
|
|||
| 1640 | print 'Process finished' |
|
|||
| 1641 | return 0 |
|
|||
| 1642 |
|
||||
| 1643 | self.flagTimeBlock = 0 |
|
|||
| 1644 | self.flagIsNewBlock = 0 |
|
|||
| 1645 |
|
||||
| 1646 | if self.__hasNotDataInBuffer(): |
|
|||
| 1647 |
|
||||
| 1648 | if not( self.readNextBlock() ): |
|
|||
| 1649 | return 0 |
|
|||
| 1650 |
|
||||
| 1651 | self.getFirstHeader() |
|
|||
| 1652 |
|
||||
| 1653 | if self.datablock == None: |
|
|||
| 1654 | self.dataOut.flagNoData = True |
|
|||
| 1655 | return 0 |
|
|||
| 1656 |
|
||||
| 1657 | self.dataOut.data = self.datablock[:,self.profileIndex,:] |
|
|||
| 1658 |
|
||||
| 1659 | self.dataOut.flagNoData = False |
|
|||
| 1660 |
|
||||
| 1661 | self.getBasicHeader() |
|
|||
| 1662 |
|
||||
| 1663 | self.profileIndex += 1 |
|
|||
| 1664 |
|
||||
| 1665 | self.dataOut.realtime = self.online |
|
|||
| 1666 |
|
||||
| 1667 | return self.dataOut.data |
|
|||
| 1668 |
|
||||
| 1669 |
|
||||
| 1670 | class VoltageWriter(JRODataWriter): |
|
|||
| 1671 | """ |
|
|||
| 1672 | Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura |
|
|||
| 1673 | de los datos siempre se realiza por bloques. |
|
|||
| 1674 | """ |
|
|||
| 1675 |
|
||||
| 1676 | ext = ".r" |
|
|||
| 1677 |
|
||||
| 1678 | optchar = "D" |
|
|||
| 1679 |
|
||||
| 1680 | shapeBuffer = None |
|
|||
| 1681 |
|
||||
| 1682 |
|
||||
| 1683 | def __init__(self): |
|
|||
| 1684 | """ |
|
|||
| 1685 | Inicializador de la clase VoltageWriter para la escritura de datos de espectros. |
|
|||
| 1686 |
|
||||
| 1687 | Affected: |
|
|||
| 1688 | self.dataOut |
|
|||
| 1689 |
|
||||
| 1690 | Return: None |
|
|||
| 1691 | """ |
|
|||
| 1692 |
|
||||
| 1693 | self.nTotalBlocks = 0 |
|
|||
| 1694 |
|
||||
| 1695 | self.profileIndex = 0 |
|
|||
| 1696 |
|
||||
| 1697 | self.isConfig = False |
|
|||
| 1698 |
|
||||
| 1699 | self.fp = None |
|
|||
| 1700 |
|
||||
| 1701 | self.flagIsNewFile = 1 |
|
|||
| 1702 |
|
||||
| 1703 | self.nTotalBlocks = 0 |
|
|||
| 1704 |
|
||||
| 1705 | self.flagIsNewBlock = 0 |
|
|||
| 1706 |
|
||||
| 1707 | self.setFile = None |
|
|||
| 1708 |
|
||||
| 1709 | self.dtype = None |
|
|||
| 1710 |
|
||||
| 1711 | self.path = None |
|
|||
| 1712 |
|
||||
| 1713 | self.filename = None |
|
|||
| 1714 |
|
||||
| 1715 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|||
| 1716 |
|
||||
| 1717 | self.systemHeaderObj = SystemHeader() |
|
|||
| 1718 |
|
||||
| 1719 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|||
| 1720 |
|
||||
| 1721 | self.processingHeaderObj = ProcessingHeader() |
|
|||
| 1722 |
|
||||
| 1723 | def hasAllDataInBuffer(self): |
|
|||
| 1724 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|||
| 1725 | return 1 |
|
|||
| 1726 | return 0 |
|
|||
| 1727 |
|
||||
| 1728 |
|
||||
| 1729 | def setBlockDimension(self): |
|
|||
| 1730 | """ |
|
|||
| 1731 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|||
| 1732 |
|
||||
| 1733 | Affected: |
|
|||
| 1734 | self.shape_spc_Buffer |
|
|||
| 1735 | self.shape_cspc_Buffer |
|
|||
| 1736 | self.shape_dc_Buffer |
|
|||
| 1737 |
|
||||
| 1738 | Return: None |
|
|||
| 1739 | """ |
|
|||
| 1740 | self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock, |
|
|||
| 1741 | self.processingHeaderObj.nHeights, |
|
|||
| 1742 | self.systemHeaderObj.nChannels) |
|
|||
| 1743 |
|
||||
| 1744 | self.datablock = numpy.zeros((self.systemHeaderObj.nChannels, |
|
|||
| 1745 | self.processingHeaderObj.profilesPerBlock, |
|
|||
| 1746 | self.processingHeaderObj.nHeights), |
|
|||
| 1747 | dtype=numpy.dtype('complex64')) |
|
|||
| 1748 |
|
||||
| 1749 |
|
||||
| 1750 | def writeBlock(self): |
|
|||
| 1751 | """ |
|
|||
| 1752 | Escribe el buffer en el file designado |
|
|||
| 1753 |
|
||||
| 1754 | Affected: |
|
|||
| 1755 | self.profileIndex |
|
|||
| 1756 | self.flagIsNewFile |
|
|||
| 1757 | self.flagIsNewBlock |
|
|||
| 1758 | self.nTotalBlocks |
|
|||
| 1759 | self.blockIndex |
|
|||
| 1760 |
|
||||
| 1761 | Return: None |
|
|||
| 1762 | """ |
|
|||
| 1763 | data = numpy.zeros( self.shapeBuffer, self.dtype ) |
|
|||
| 1764 |
|
||||
| 1765 | junk = numpy.transpose(self.datablock, (1,2,0)) |
|
|||
| 1766 |
|
||||
| 1767 | data['real'] = junk.real |
|
|||
| 1768 | data['imag'] = junk.imag |
|
|||
| 1769 |
|
||||
| 1770 | data = data.reshape( (-1) ) |
|
|||
| 1771 |
|
||||
| 1772 | data.tofile( self.fp ) |
|
|||
| 1773 |
|
||||
| 1774 | self.datablock.fill(0) |
|
|||
| 1775 |
|
||||
| 1776 | self.profileIndex = 0 |
|
|||
| 1777 | self.flagIsNewFile = 0 |
|
|||
| 1778 | self.flagIsNewBlock = 1 |
|
|||
| 1779 |
|
||||
| 1780 | self.blockIndex += 1 |
|
|||
| 1781 | self.nTotalBlocks += 1 |
|
|||
| 1782 |
|
||||
| 1783 | def putData(self): |
|
|||
| 1784 | """ |
|
|||
| 1785 | Setea un bloque de datos y luego los escribe en un file |
|
|||
| 1786 |
|
||||
| 1787 | Affected: |
|
|||
| 1788 | self.flagIsNewBlock |
|
|||
| 1789 | self.profileIndex |
|
|||
| 1790 |
|
||||
| 1791 | Return: |
|
|||
| 1792 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|||
| 1793 | 1 : Si se escribio la data de un bloque en un file |
|
|||
| 1794 | """ |
|
|||
| 1795 | if self.dataOut.flagNoData: |
|
|||
| 1796 | return 0 |
|
|||
| 1797 |
|
||||
| 1798 | self.flagIsNewBlock = 0 |
|
|||
| 1799 |
|
||||
| 1800 | if self.dataOut.flagTimeBlock: |
|
|||
| 1801 |
|
||||
| 1802 | self.datablock.fill(0) |
|
|||
| 1803 | self.profileIndex = 0 |
|
|||
| 1804 | self.setNextFile() |
|
|||
| 1805 |
|
||||
| 1806 | if self.profileIndex == 0: |
|
|||
| 1807 | self.setBasicHeader() |
|
|||
| 1808 |
|
||||
| 1809 | self.datablock[:,self.profileIndex,:] = self.dataOut.data |
|
|||
| 1810 |
|
||||
| 1811 | self.profileIndex += 1 |
|
|||
| 1812 |
|
||||
| 1813 | if self.hasAllDataInBuffer(): |
|
|||
| 1814 | #if self.flagIsNewFile: |
|
|||
| 1815 | self.writeNextBlock() |
|
|||
| 1816 | # self.setFirstHeader() |
|
|||
| 1817 |
|
||||
| 1818 | return 1 |
|
|||
| 1819 |
|
||||
| 1820 | def __getProcessFlags(self): |
|
|||
| 1821 |
|
||||
| 1822 | processFlags = 0 |
|
|||
| 1823 |
|
||||
| 1824 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|||
| 1825 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|||
| 1826 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|||
| 1827 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|||
| 1828 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|||
| 1829 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|||
| 1830 |
|
||||
| 1831 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|||
| 1832 |
|
||||
| 1833 |
|
||||
| 1834 |
|
||||
| 1835 | datatypeValueList = [PROCFLAG.DATATYPE_CHAR, |
|
|||
| 1836 | PROCFLAG.DATATYPE_SHORT, |
|
|||
| 1837 | PROCFLAG.DATATYPE_LONG, |
|
|||
| 1838 | PROCFLAG.DATATYPE_INT64, |
|
|||
| 1839 | PROCFLAG.DATATYPE_FLOAT, |
|
|||
| 1840 | PROCFLAG.DATATYPE_DOUBLE] |
|
|||
| 1841 |
|
||||
| 1842 |
|
||||
| 1843 | for index in range(len(dtypeList)): |
|
|||
| 1844 | if self.dataOut.dtype == dtypeList[index]: |
|
|||
| 1845 | dtypeValue = datatypeValueList[index] |
|
|||
| 1846 | break |
|
|||
| 1847 |
|
||||
| 1848 | processFlags += dtypeValue |
|
|||
| 1849 |
|
||||
| 1850 | if self.dataOut.flagDecodeData: |
|
|||
| 1851 | processFlags += PROCFLAG.DECODE_DATA |
|
|||
| 1852 |
|
||||
| 1853 | if self.dataOut.flagDeflipData: |
|
|||
| 1854 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|||
| 1855 |
|
||||
| 1856 | if self.dataOut.code != None: |
|
|||
| 1857 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|||
| 1858 |
|
||||
| 1859 | if self.dataOut.nCohInt > 1: |
|
|||
| 1860 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|||
| 1861 |
|
||||
| 1862 | return processFlags |
|
|||
| 1863 |
|
||||
| 1864 |
|
||||
| 1865 | def __getBlockSize(self): |
|
|||
| 1866 | ''' |
|
|||
| 1867 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage |
|
|||
| 1868 | ''' |
|
|||
| 1869 |
|
||||
| 1870 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|||
| 1871 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|||
| 1872 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|||
| 1873 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|||
| 1874 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|||
| 1875 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|||
| 1876 |
|
||||
| 1877 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|||
| 1878 | datatypeValueList = [1,2,4,8,4,8] |
|
|||
| 1879 | for index in range(len(dtypeList)): |
|
|||
| 1880 | if self.dataOut.dtype == dtypeList[index]: |
|
|||
| 1881 | datatypeValue = datatypeValueList[index] |
|
|||
| 1882 | break |
|
|||
| 1883 |
|
||||
| 1884 | blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * datatypeValue * 2) |
|
|||
| 1885 |
|
||||
| 1886 | return blocksize |
|
|||
| 1887 |
|
||||
| 1888 | def setFirstHeader(self): |
|
|||
| 1889 |
|
||||
| 1890 | """ |
|
|||
| 1891 | Obtiene una copia del First Header |
|
|||
| 1892 |
|
||||
| 1893 | Affected: |
|
|||
| 1894 | self.systemHeaderObj |
|
|||
| 1895 | self.radarControllerHeaderObj |
|
|||
| 1896 | self.dtype |
|
|||
| 1897 |
|
||||
| 1898 | Return: |
|
|||
| 1899 | None |
|
|||
| 1900 | """ |
|
|||
| 1901 |
|
||||
| 1902 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|||
| 1903 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|||
| 1904 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|||
| 1905 |
|
||||
| 1906 | self.setBasicHeader() |
|
|||
| 1907 |
|
||||
| 1908 | processingHeaderSize = 40 # bytes |
|
|||
| 1909 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|||
| 1910 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|||
| 1911 | self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock |
|
|||
| 1912 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|||
| 1913 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|||
| 1914 | self.processingHeaderObj.processFlags = self.__getProcessFlags() |
|
|||
| 1915 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt |
|
|||
| 1916 | self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage |
|
|||
| 1917 | self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage |
|
|||
| 1918 |
|
||||
| 1919 | # if self.dataOut.code != None: |
|
|||
| 1920 | # self.processingHeaderObj.code = self.dataOut.code |
|
|||
| 1921 | # self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|||
| 1922 | # self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|||
| 1923 | # codesize = int(8 + 4 * self.dataOut.nCode * self.dataOut.nBaud) |
|
|||
| 1924 | # processingHeaderSize += codesize |
|
|||
| 1925 |
|
||||
| 1926 | if self.processingHeaderObj.nWindows != 0: |
|
|||
| 1927 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|||
| 1928 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|||
| 1929 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|||
| 1930 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|||
| 1931 | processingHeaderSize += 12 |
|
|||
| 1932 |
|
||||
| 1933 | self.processingHeaderObj.size = processingHeaderSize |
|
|||
| 1934 |
|
||||
| 1935 | class SpectraReader(JRODataReader): |
|
|||
| 1936 | """ |
|
|||
| 1937 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura |
|
|||
| 1938 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) |
|
|||
| 1939 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. |
|
|||
| 1940 |
|
||||
| 1941 | paresCanalesIguales * alturas * perfiles (Self Spectra) |
|
|||
| 1942 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) |
|
|||
| 1943 | canales * alturas (DC Channels) |
|
|||
| 1944 |
|
||||
| 1945 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|||
| 1946 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la |
|
|||
| 1947 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de |
|
|||
| 1948 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|||
| 1949 |
|
||||
| 1950 | Example: |
|
|||
| 1951 | dpath = "/home/myuser/data" |
|
|||
| 1952 |
|
||||
| 1953 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|||
| 1954 |
|
||||
| 1955 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|||
| 1956 |
|
||||
| 1957 | readerObj = SpectraReader() |
|
|||
| 1958 |
|
||||
| 1959 | readerObj.setup(dpath, startTime, endTime) |
|
|||
| 1960 |
|
||||
| 1961 | while(True): |
|
|||
| 1962 |
|
||||
| 1963 | readerObj.getData() |
|
|||
| 1964 |
|
||||
| 1965 | print readerObj.data_spc |
|
|||
| 1966 |
|
||||
| 1967 | print readerObj.data_cspc |
|
|||
| 1968 |
|
||||
| 1969 | print readerObj.data_dc |
|
|||
| 1970 |
|
||||
| 1971 | if readerObj.flagNoMoreFiles: |
|
|||
| 1972 | break |
|
|||
| 1973 |
|
||||
| 1974 | """ |
|
|||
| 1975 |
|
||||
| 1976 | pts2read_SelfSpectra = 0 |
|
|||
| 1977 |
|
||||
| 1978 | pts2read_CrossSpectra = 0 |
|
|||
| 1979 |
|
||||
| 1980 | pts2read_DCchannels = 0 |
|
|||
| 1981 |
|
||||
| 1982 | ext = ".pdata" |
|
|||
| 1983 |
|
||||
| 1984 | optchar = "P" |
|
|||
| 1985 |
|
||||
| 1986 | dataOut = None |
|
|||
| 1987 |
|
||||
| 1988 | nRdChannels = None |
|
|||
| 1989 |
|
||||
| 1990 | nRdPairs = None |
|
|||
| 1991 |
|
||||
| 1992 | rdPairList = [] |
|
|||
| 1993 |
|
||||
| 1994 | def __init__(self): |
|
|||
| 1995 | """ |
|
|||
| 1996 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. |
|
|||
| 1997 |
|
||||
| 1998 | Inputs: |
|
|||
| 1999 | dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para |
|
|||
| 2000 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|||
| 2001 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|||
| 2002 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|||
| 2003 | bloque de datos. |
|
|||
| 2004 | Si este parametro no es pasado se creara uno internamente. |
|
|||
| 2005 |
|
||||
| 2006 | Affected: |
|
|||
| 2007 | self.dataOut |
|
|||
| 2008 |
|
||||
| 2009 | Return : None |
|
|||
| 2010 | """ |
|
|||
| 2011 |
|
||||
| 2012 | self.isConfig = False |
|
|||
| 2013 |
|
||||
| 2014 | self.pts2read_SelfSpectra = 0 |
|
|||
| 2015 |
|
||||
| 2016 | self.pts2read_CrossSpectra = 0 |
|
|||
| 2017 |
|
||||
| 2018 | self.pts2read_DCchannels = 0 |
|
|||
| 2019 |
|
||||
| 2020 | self.datablock = None |
|
|||
| 2021 |
|
||||
| 2022 | self.utc = None |
|
|||
| 2023 |
|
||||
| 2024 | self.ext = ".pdata" |
|
|||
| 2025 |
|
||||
| 2026 | self.optchar = "P" |
|
|||
| 2027 |
|
||||
| 2028 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|||
| 2029 |
|
||||
| 2030 | self.systemHeaderObj = SystemHeader() |
|
|||
| 2031 |
|
||||
| 2032 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|||
| 2033 |
|
||||
| 2034 | self.processingHeaderObj = ProcessingHeader() |
|
|||
| 2035 |
|
||||
| 2036 | self.online = 0 |
|
|||
| 2037 |
|
||||
| 2038 | self.fp = None |
|
|||
| 2039 |
|
||||
| 2040 | self.idFile = None |
|
|||
| 2041 |
|
||||
| 2042 | self.dtype = None |
|
|||
| 2043 |
|
||||
| 2044 | self.fileSizeByHeader = None |
|
|||
| 2045 |
|
||||
| 2046 | self.filenameList = [] |
|
|||
| 2047 |
|
||||
| 2048 | self.filename = None |
|
|||
| 2049 |
|
||||
| 2050 | self.fileSize = None |
|
|||
| 2051 |
|
||||
| 2052 | self.firstHeaderSize = 0 |
|
|||
| 2053 |
|
||||
| 2054 | self.basicHeaderSize = 24 |
|
|||
| 2055 |
|
||||
| 2056 | self.pathList = [] |
|
|||
| 2057 |
|
||||
| 2058 | self.lastUTTime = 0 |
|
|||
| 2059 |
|
||||
| 2060 | self.maxTimeStep = 30 |
|
|||
| 2061 |
|
||||
| 2062 | self.flagNoMoreFiles = 0 |
|
|||
| 2063 |
|
||||
| 2064 | self.set = 0 |
|
|||
| 2065 |
|
||||
| 2066 | self.path = None |
|
|||
| 2067 |
|
||||
| 2068 | self.delay = 60 #seconds |
|
|||
| 2069 |
|
||||
| 2070 | self.nTries = 3 #quantity tries |
|
|||
| 2071 |
|
||||
| 2072 | self.nFiles = 3 #number of files for searching |
|
|||
| 2073 |
|
||||
| 2074 | self.nReadBlocks = 0 |
|
|||
| 2075 |
|
||||
| 2076 | self.flagIsNewFile = 1 |
|
|||
| 2077 |
|
||||
| 2078 | self.__isFirstTimeOnline = 1 |
|
|||
| 2079 |
|
||||
| 2080 | self.ippSeconds = 0 |
|
|||
| 2081 |
|
||||
| 2082 | self.flagTimeBlock = 0 |
|
|||
| 2083 |
|
||||
| 2084 | self.flagIsNewBlock = 0 |
|
|||
| 2085 |
|
||||
| 2086 | self.nTotalBlocks = 0 |
|
|||
| 2087 |
|
||||
| 2088 | self.blocksize = 0 |
|
|||
| 2089 |
|
||||
| 2090 | self.dataOut = self.createObjByDefault() |
|
|||
| 2091 |
|
||||
| 2092 | self.profileIndex = 1 #Always |
|
|||
| 2093 |
|
||||
| 2094 |
|
||||
| 2095 | def createObjByDefault(self): |
|
|||
| 2096 |
|
||||
| 2097 | dataObj = Spectra() |
|
|||
| 2098 |
|
||||
| 2099 | return dataObj |
|
|||
| 2100 |
|
||||
| 2101 | def __hasNotDataInBuffer(self): |
|
|||
| 2102 | return 1 |
|
|||
| 2103 |
|
||||
| 2104 |
|
||||
| 2105 | def getBlockDimension(self): |
|
|||
| 2106 | """ |
|
|||
| 2107 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|||
| 2108 |
|
||||
| 2109 | Affected: |
|
|||
| 2110 | self.nRdChannels |
|
|||
| 2111 | self.nRdPairs |
|
|||
| 2112 | self.pts2read_SelfSpectra |
|
|||
| 2113 | self.pts2read_CrossSpectra |
|
|||
| 2114 | self.pts2read_DCchannels |
|
|||
| 2115 | self.blocksize |
|
|||
| 2116 | self.dataOut.nChannels |
|
|||
| 2117 | self.dataOut.nPairs |
|
|||
| 2118 |
|
||||
| 2119 | Return: |
|
|||
| 2120 | None |
|
|||
| 2121 | """ |
|
|||
| 2122 | self.nRdChannels = 0 |
|
|||
| 2123 | self.nRdPairs = 0 |
|
|||
| 2124 | self.rdPairList = [] |
|
|||
| 2125 |
|
||||
| 2126 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): |
|
|||
| 2127 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: |
|
|||
| 2128 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales |
|
|||
| 2129 | else: |
|
|||
| 2130 | self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes |
|
|||
| 2131 | self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1])) |
|
|||
| 2132 |
|
||||
| 2133 | pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock |
|
|||
| 2134 |
|
||||
| 2135 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) |
|
|||
| 2136 | self.blocksize = self.pts2read_SelfSpectra |
|
|||
| 2137 |
|
||||
| 2138 | if self.processingHeaderObj.flag_cspc: |
|
|||
| 2139 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) |
|
|||
| 2140 | self.blocksize += self.pts2read_CrossSpectra |
|
|||
| 2141 |
|
||||
| 2142 | if self.processingHeaderObj.flag_dc: |
|
|||
| 2143 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) |
|
|||
| 2144 | self.blocksize += self.pts2read_DCchannels |
|
|||
| 2145 |
|
||||
| 2146 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels |
|
|||
| 2147 |
|
||||
| 2148 |
|
||||
| 2149 | def readBlock(self): |
|
|||
| 2150 | """ |
|
|||
| 2151 | Lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|||
| 2152 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|||
| 2153 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|||
| 2154 | es seteado a 0 |
|
|||
| 2155 |
|
||||
| 2156 | Return: None |
|
|||
| 2157 |
|
||||
| 2158 | Variables afectadas: |
|
|||
| 2159 |
|
||||
| 2160 | self.flagIsNewFile |
|
|||
| 2161 | self.flagIsNewBlock |
|
|||
| 2162 | self.nTotalBlocks |
|
|||
| 2163 | self.data_spc |
|
|||
| 2164 | self.data_cspc |
|
|||
| 2165 | self.data_dc |
|
|||
| 2166 |
|
||||
| 2167 | Exceptions: |
|
|||
| 2168 | Si un bloque leido no es un bloque valido |
|
|||
| 2169 | """ |
|
|||
| 2170 | blockOk_flag = False |
|
|||
| 2171 | fpointer = self.fp.tell() |
|
|||
| 2172 |
|
||||
| 2173 | spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra ) |
|
|||
| 2174 | spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|||
| 2175 |
|
||||
| 2176 | if self.processingHeaderObj.flag_cspc: |
|
|||
| 2177 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) |
|
|||
| 2178 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|||
| 2179 |
|
||||
| 2180 | if self.processingHeaderObj.flag_dc: |
|
|||
| 2181 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) |
|
|||
| 2182 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D |
|
|||
| 2183 |
|
||||
| 2184 |
|
||||
| 2185 | if not(self.processingHeaderObj.shif_fft): |
|
|||
| 2186 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|||
| 2187 | shift = int(self.processingHeaderObj.profilesPerBlock/2) |
|
|||
| 2188 | spc = numpy.roll( spc, shift , axis=2 ) |
|
|||
| 2189 |
|
||||
| 2190 | if self.processingHeaderObj.flag_cspc: |
|
|||
| 2191 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|||
| 2192 | cspc = numpy.roll( cspc, shift, axis=2 ) |
|
|||
| 2193 |
|
||||
| 2194 | # self.processingHeaderObj.shif_fft = True |
|
|||
| 2195 |
|
||||
| 2196 | spc = numpy.transpose( spc, (0,2,1) ) |
|
|||
| 2197 | self.data_spc = spc |
|
|||
| 2198 |
|
||||
| 2199 | if self.processingHeaderObj.flag_cspc: |
|
|||
| 2200 | cspc = numpy.transpose( cspc, (0,2,1) ) |
|
|||
| 2201 | self.data_cspc = cspc['real'] + cspc['imag']*1j |
|
|||
| 2202 | else: |
|
|||
| 2203 | self.data_cspc = None |
|
|||
| 2204 |
|
||||
| 2205 | if self.processingHeaderObj.flag_dc: |
|
|||
| 2206 | self.data_dc = dc['real'] + dc['imag']*1j |
|
|||
| 2207 | else: |
|
|||
| 2208 | self.data_dc = None |
|
|||
| 2209 |
|
||||
| 2210 | self.flagIsNewFile = 0 |
|
|||
| 2211 | self.flagIsNewBlock = 1 |
|
|||
| 2212 |
|
||||
| 2213 | self.nTotalBlocks += 1 |
|
|||
| 2214 | self.nReadBlocks += 1 |
|
|||
| 2215 |
|
||||
| 2216 | return 1 |
|
|||
| 2217 |
|
||||
| 2218 | def getFirstHeader(self): |
|
|||
| 2219 |
|
||||
| 2220 | self.dataOut.dtype = self.dtype |
|
|||
| 2221 |
|
||||
| 2222 | self.dataOut.nPairs = self.nRdPairs |
|
|||
| 2223 |
|
||||
| 2224 | self.dataOut.pairsList = self.rdPairList |
|
|||
| 2225 |
|
||||
| 2226 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|||
| 2227 |
|
||||
| 2228 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock |
|
|||
| 2229 |
|
||||
| 2230 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|||
| 2231 |
|
||||
| 2232 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt |
|
|||
| 2233 |
|
||||
| 2234 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|||
| 2235 |
|
||||
| 2236 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|||
| 2237 |
|
||||
| 2238 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|||
| 2239 |
|
||||
| 2240 | self.dataOut.ippSeconds = self.ippSeconds |
|
|||
| 2241 |
|
||||
| 2242 | self.dataOut.timeInterval = self.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.dataOut.nFFTPoints |
|
|||
| 2243 |
|
||||
| 2244 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|||
| 2245 |
|
||||
| 2246 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|||
| 2247 |
|
||||
| 2248 | self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft |
|
|||
| 2249 |
|
||||
| 2250 | self.dataOut.flagDecodeData = False #asumo q la data no esta decodificada |
|
|||
| 2251 |
|
||||
| 2252 | self.dataOut.flagDeflipData = True #asumo q la data no esta sin flip |
|
|||
| 2253 |
|
||||
| 2254 | if self.radarControllerHeaderObj.code != None: |
|
|||
| 2255 |
|
||||
| 2256 | self.dataOut.nCode = self.radarControllerHeaderObj.nCode |
|
|||
| 2257 |
|
||||
| 2258 | self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud |
|
|||
| 2259 |
|
||||
| 2260 | self.dataOut.code = self.radarControllerHeaderObj.code |
|
|||
| 2261 |
|
||||
| 2262 | self.dataOut.flagDecodeData = True |
|
|||
| 2263 |
|
||||
| 2264 | def getData(self): |
|
|||
| 2265 | """ |
|
|||
| 2266 | Copia el buffer de lectura a la clase "Spectra", |
|
|||
| 2267 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|||
| 2268 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|||
| 2269 |
|
||||
| 2270 | Return: |
|
|||
| 2271 | 0 : Si no hay mas archivos disponibles |
|
|||
| 2272 | 1 : Si hizo una buena copia del buffer |
|
|||
| 2273 |
|
||||
| 2274 | Affected: |
|
|||
| 2275 | self.dataOut |
|
|||
| 2276 |
|
||||
| 2277 | self.flagTimeBlock |
|
|||
| 2278 | self.flagIsNewBlock |
|
|||
| 2279 | """ |
|
|||
| 2280 |
|
||||
| 2281 | if self.flagNoMoreFiles: |
|
|||
| 2282 | self.dataOut.flagNoData = True |
|
|||
| 2283 | print 'Process finished' |
|
|||
| 2284 | return 0 |
|
|||
| 2285 |
|
||||
| 2286 | self.flagTimeBlock = 0 |
|
|||
| 2287 | self.flagIsNewBlock = 0 |
|
|||
| 2288 |
|
||||
| 2289 | if self.__hasNotDataInBuffer(): |
|
|||
| 2290 |
|
||||
| 2291 | if not( self.readNextBlock() ): |
|
|||
| 2292 | self.dataOut.flagNoData = True |
|
|||
| 2293 | return 0 |
|
|||
| 2294 |
|
||||
| 2295 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
|||
| 2296 |
|
||||
| 2297 | if self.data_dc == None: |
|
|||
| 2298 | self.dataOut.flagNoData = True |
|
|||
| 2299 | return 0 |
|
|||
| 2300 |
|
||||
| 2301 | self.getBasicHeader() |
|
|||
| 2302 |
|
||||
| 2303 | self.getFirstHeader() |
|
|||
| 2304 |
|
||||
| 2305 | self.dataOut.data_spc = self.data_spc |
|
|||
| 2306 |
|
||||
| 2307 | self.dataOut.data_cspc = self.data_cspc |
|
|||
| 2308 |
|
||||
| 2309 | self.dataOut.data_dc = self.data_dc |
|
|||
| 2310 |
|
||||
| 2311 | self.dataOut.flagNoData = False |
|
|||
| 2312 |
|
||||
| 2313 | self.dataOut.realtime = self.online |
|
|||
| 2314 |
|
||||
| 2315 | return self.dataOut.data_spc |
|
|||
| 2316 |
|
||||
| 2317 |
|
||||
| 2318 | class SpectraWriter(JRODataWriter): |
|
|||
| 2319 |
|
||||
| 2320 | """ |
|
|||
| 2321 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura |
|
|||
| 2322 | de los datos siempre se realiza por bloques. |
|
|||
| 2323 | """ |
|
|||
| 2324 |
|
||||
| 2325 | ext = ".pdata" |
|
|||
| 2326 |
|
||||
| 2327 | optchar = "P" |
|
|||
| 2328 |
|
||||
| 2329 | shape_spc_Buffer = None |
|
|||
| 2330 |
|
||||
| 2331 | shape_cspc_Buffer = None |
|
|||
| 2332 |
|
||||
| 2333 | shape_dc_Buffer = None |
|
|||
| 2334 |
|
||||
| 2335 | data_spc = None |
|
|||
| 2336 |
|
||||
| 2337 | data_cspc = None |
|
|||
| 2338 |
|
||||
| 2339 | data_dc = None |
|
|||
| 2340 |
|
||||
| 2341 | # dataOut = None |
|
|||
| 2342 |
|
||||
| 2343 | def __init__(self): |
|
|||
| 2344 | """ |
|
|||
| 2345 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. |
|
|||
| 2346 |
|
||||
| 2347 | Affected: |
|
|||
| 2348 | self.dataOut |
|
|||
| 2349 | self.basicHeaderObj |
|
|||
| 2350 | self.systemHeaderObj |
|
|||
| 2351 | self.radarControllerHeaderObj |
|
|||
| 2352 | self.processingHeaderObj |
|
|||
| 2353 |
|
||||
| 2354 | Return: None |
|
|||
| 2355 | """ |
|
|||
| 2356 |
|
||||
| 2357 | self.isConfig = False |
|
|||
| 2358 |
|
||||
| 2359 | self.nTotalBlocks = 0 |
|
|||
| 2360 |
|
||||
| 2361 | self.data_spc = None |
|
|||
| 2362 |
|
||||
| 2363 | self.data_cspc = None |
|
|||
| 2364 |
|
||||
| 2365 | self.data_dc = None |
|
|||
| 2366 |
|
||||
| 2367 | self.fp = None |
|
|||
| 2368 |
|
||||
| 2369 | self.flagIsNewFile = 1 |
|
|||
| 2370 |
|
||||
| 2371 | self.nTotalBlocks = 0 |
|
|||
| 2372 |
|
||||
| 2373 | self.flagIsNewBlock = 0 |
|
|||
| 2374 |
|
||||
| 2375 | self.setFile = None |
|
|||
| 2376 |
|
||||
| 2377 | self.dtype = None |
|
|||
| 2378 |
|
||||
| 2379 | self.path = None |
|
|||
| 2380 |
|
||||
| 2381 | self.noMoreFiles = 0 |
|
|||
| 2382 |
|
||||
| 2383 | self.filename = None |
|
|||
| 2384 |
|
||||
| 2385 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|||
| 2386 |
|
||||
| 2387 | self.systemHeaderObj = SystemHeader() |
|
|||
| 2388 |
|
||||
| 2389 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|||
| 2390 |
|
||||
| 2391 | self.processingHeaderObj = ProcessingHeader() |
|
|||
| 2392 |
|
||||
| 2393 |
|
||||
| 2394 | def hasAllDataInBuffer(self): |
|
|||
| 2395 | return 1 |
|
|||
| 2396 |
|
||||
| 2397 |
|
||||
| 2398 | def setBlockDimension(self): |
|
|||
| 2399 | """ |
|
|||
| 2400 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|||
| 2401 |
|
||||
| 2402 | Affected: |
|
|||
| 2403 | self.shape_spc_Buffer |
|
|||
| 2404 | self.shape_cspc_Buffer |
|
|||
| 2405 | self.shape_dc_Buffer |
|
|||
| 2406 |
|
||||
| 2407 | Return: None |
|
|||
| 2408 | """ |
|
|||
| 2409 | self.shape_spc_Buffer = (self.dataOut.nChannels, |
|
|||
| 2410 | self.processingHeaderObj.nHeights, |
|
|||
| 2411 | self.processingHeaderObj.profilesPerBlock) |
|
|||
| 2412 |
|
||||
| 2413 | self.shape_cspc_Buffer = (self.dataOut.nPairs, |
|
|||
| 2414 | self.processingHeaderObj.nHeights, |
|
|||
| 2415 | self.processingHeaderObj.profilesPerBlock) |
|
|||
| 2416 |
|
||||
| 2417 | self.shape_dc_Buffer = (self.dataOut.nChannels, |
|
|||
| 2418 | self.processingHeaderObj.nHeights) |
|
|||
| 2419 |
|
||||
| 2420 |
|
||||
| 2421 | def writeBlock(self): |
|
|||
| 2422 | """ |
|
|||
| 2423 | Escribe el buffer en el file designado |
|
|||
| 2424 |
|
||||
| 2425 | Affected: |
|
|||
| 2426 | self.data_spc |
|
|||
| 2427 | self.data_cspc |
|
|||
| 2428 | self.data_dc |
|
|||
| 2429 | self.flagIsNewFile |
|
|||
| 2430 | self.flagIsNewBlock |
|
|||
| 2431 | self.nTotalBlocks |
|
|||
| 2432 | self.nWriteBlocks |
|
|||
| 2433 |
|
||||
| 2434 | Return: None |
|
|||
| 2435 | """ |
|
|||
| 2436 |
|
||||
| 2437 | spc = numpy.transpose( self.data_spc, (0,2,1) ) |
|
|||
| 2438 | if not( self.processingHeaderObj.shif_fft ): |
|
|||
| 2439 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|||
| 2440 | data = spc.reshape((-1)) |
|
|||
| 2441 | data = data.astype(self.dtype[0]) |
|
|||
| 2442 | data.tofile(self.fp) |
|
|||
| 2443 |
|
||||
| 2444 | if self.data_cspc != None: |
|
|||
| 2445 | data = numpy.zeros( self.shape_cspc_Buffer, self.dtype ) |
|
|||
| 2446 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) |
|
|||
| 2447 | if not( self.processingHeaderObj.shif_fft ): |
|
|||
| 2448 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|||
| 2449 | data['real'] = cspc.real |
|
|||
| 2450 | data['imag'] = cspc.imag |
|
|||
| 2451 | data = data.reshape((-1)) |
|
|||
| 2452 | data.tofile(self.fp) |
|
|||
| 2453 |
|
||||
| 2454 | if self.data_dc != None: |
|
|||
| 2455 | data = numpy.zeros( self.shape_dc_Buffer, self.dtype ) |
|
|||
| 2456 | dc = self.data_dc |
|
|||
| 2457 | data['real'] = dc.real |
|
|||
| 2458 | data['imag'] = dc.imag |
|
|||
| 2459 | data = data.reshape((-1)) |
|
|||
| 2460 | data.tofile(self.fp) |
|
|||
| 2461 |
|
||||
| 2462 | self.data_spc.fill(0) |
|
|||
| 2463 |
|
||||
| 2464 | if self.data_dc != None: |
|
|||
| 2465 | self.data_dc.fill(0) |
|
|||
| 2466 |
|
||||
| 2467 | if self.data_cspc != None: |
|
|||
| 2468 | self.data_cspc.fill(0) |
|
|||
| 2469 |
|
||||
| 2470 | self.flagIsNewFile = 0 |
|
|||
| 2471 | self.flagIsNewBlock = 1 |
|
|||
| 2472 | self.nTotalBlocks += 1 |
|
|||
| 2473 | self.nWriteBlocks += 1 |
|
|||
| 2474 | self.blockIndex += 1 |
|
|||
| 2475 |
|
||||
| 2476 |
|
||||
| 2477 | def putData(self): |
|
|||
| 2478 | """ |
|
|||
| 2479 | Setea un bloque de datos y luego los escribe en un file |
|
|||
| 2480 |
|
||||
| 2481 | Affected: |
|
|||
| 2482 | self.data_spc |
|
|||
| 2483 | self.data_cspc |
|
|||
| 2484 | self.data_dc |
|
|||
| 2485 |
|
||||
| 2486 | Return: |
|
|||
| 2487 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|||
| 2488 | 1 : Si se escribio la data de un bloque en un file |
|
|||
| 2489 | """ |
|
|||
| 2490 |
|
||||
| 2491 | if self.dataOut.flagNoData: |
|
|||
| 2492 | return 0 |
|
|||
| 2493 |
|
||||
| 2494 | self.flagIsNewBlock = 0 |
|
|||
| 2495 |
|
||||
| 2496 | if self.dataOut.flagTimeBlock: |
|
|||
| 2497 | self.data_spc.fill(0) |
|
|||
| 2498 | self.data_cspc.fill(0) |
|
|||
| 2499 | self.data_dc.fill(0) |
|
|||
| 2500 | self.setNextFile() |
|
|||
| 2501 |
|
||||
| 2502 | if self.flagIsNewFile == 0: |
|
|||
| 2503 | self.setBasicHeader() |
|
|||
| 2504 |
|
||||
| 2505 | self.data_spc = self.dataOut.data_spc.copy() |
|
|||
| 2506 | if self.dataOut.data_cspc != None: |
|
|||
| 2507 | self.data_cspc = self.dataOut.data_cspc.copy() |
|
|||
| 2508 | self.data_dc = self.dataOut.data_dc.copy() |
|
|||
| 2509 |
|
||||
| 2510 | # #self.processingHeaderObj.dataBlocksPerFile) |
|
|||
| 2511 | if self.hasAllDataInBuffer(): |
|
|||
| 2512 | # self.setFirstHeader() |
|
|||
| 2513 | self.writeNextBlock() |
|
|||
| 2514 |
|
||||
| 2515 | return 1 |
|
|||
| 2516 |
|
||||
| 2517 |
|
||||
| 2518 | def __getProcessFlags(self): |
|
|||
| 2519 |
|
||||
| 2520 | processFlags = 0 |
|
|||
| 2521 |
|
||||
| 2522 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|||
| 2523 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|||
| 2524 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|||
| 2525 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|||
| 2526 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|||
| 2527 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|||
| 2528 |
|
||||
| 2529 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|||
| 2530 |
|
||||
| 2531 |
|
||||
| 2532 |
|
||||
| 2533 | datatypeValueList = [PROCFLAG.DATATYPE_CHAR, |
|
|||
| 2534 | PROCFLAG.DATATYPE_SHORT, |
|
|||
| 2535 | PROCFLAG.DATATYPE_LONG, |
|
|||
| 2536 | PROCFLAG.DATATYPE_INT64, |
|
|||
| 2537 | PROCFLAG.DATATYPE_FLOAT, |
|
|||
| 2538 | PROCFLAG.DATATYPE_DOUBLE] |
|
|||
| 2539 |
|
||||
| 2540 |
|
||||
| 2541 | for index in range(len(dtypeList)): |
|
|||
| 2542 | if self.dataOut.dtype == dtypeList[index]: |
|
|||
| 2543 | dtypeValue = datatypeValueList[index] |
|
|||
| 2544 | break |
|
|||
| 2545 |
|
||||
| 2546 | processFlags += dtypeValue |
|
|||
| 2547 |
|
||||
| 2548 | if self.dataOut.flagDecodeData: |
|
|||
| 2549 | processFlags += PROCFLAG.DECODE_DATA |
|
|||
| 2550 |
|
||||
| 2551 | if self.dataOut.flagDeflipData: |
|
|||
| 2552 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|||
| 2553 |
|
||||
| 2554 | if self.dataOut.code != None: |
|
|||
| 2555 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|||
| 2556 |
|
||||
| 2557 | if self.dataOut.nIncohInt > 1: |
|
|||
| 2558 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|||
| 2559 |
|
||||
| 2560 | if self.dataOut.data_dc != None: |
|
|||
| 2561 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|||
| 2562 |
|
||||
| 2563 | return processFlags |
|
|||
| 2564 |
|
||||
| 2565 |
|
||||
| 2566 | def __getBlockSize(self): |
|
|||
| 2567 | ''' |
|
|||
| 2568 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra |
|
|||
| 2569 | ''' |
|
|||
| 2570 |
|
||||
| 2571 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|||
| 2572 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|||
| 2573 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|||
| 2574 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|||
| 2575 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|||
| 2576 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|||
| 2577 |
|
||||
| 2578 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|||
| 2579 | datatypeValueList = [1,2,4,8,4,8] |
|
|||
| 2580 | for index in range(len(dtypeList)): |
|
|||
| 2581 | if self.dataOut.dtype == dtypeList[index]: |
|
|||
| 2582 | datatypeValue = datatypeValueList[index] |
|
|||
| 2583 | break |
|
|||
| 2584 |
|
||||
| 2585 |
|
||||
| 2586 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints |
|
|||
| 2587 |
|
||||
| 2588 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) |
|
|||
| 2589 | blocksize = (pts2write_SelfSpectra*datatypeValue) |
|
|||
| 2590 |
|
||||
| 2591 | if self.dataOut.data_cspc != None: |
|
|||
| 2592 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) |
|
|||
| 2593 | blocksize += (pts2write_CrossSpectra*datatypeValue*2) |
|
|||
| 2594 |
|
||||
| 2595 | if self.dataOut.data_dc != None: |
|
|||
| 2596 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) |
|
|||
| 2597 | blocksize += (pts2write_DCchannels*datatypeValue*2) |
|
|||
| 2598 |
|
||||
| 2599 | blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO |
|
|||
| 2600 |
|
||||
| 2601 | return blocksize |
|
|||
| 2602 |
|
||||
| 2603 | def setFirstHeader(self): |
|
|||
| 2604 |
|
||||
| 2605 | """ |
|
|||
| 2606 | Obtiene una copia del First Header |
|
|||
| 2607 |
|
||||
| 2608 | Affected: |
|
|||
| 2609 | self.systemHeaderObj |
|
|||
| 2610 | self.radarControllerHeaderObj |
|
|||
| 2611 | self.dtype |
|
|||
| 2612 |
|
||||
| 2613 | Return: |
|
|||
| 2614 | None |
|
|||
| 2615 | """ |
|
|||
| 2616 |
|
||||
| 2617 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|||
| 2618 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|||
| 2619 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|||
| 2620 | old_code_size = self.dataOut.radarControllerHeaderObj.code_size |
|
|||
| 2621 | new_code_size = int(numpy.ceil(self.dataOut.nBaud/32.))*self.dataOut.nCode*4 |
|
|||
| 2622 | self.radarControllerHeaderObj.size = self.radarControllerHeaderObj.size - old_code_size + new_code_size |
|
|||
| 2623 |
|
||||
| 2624 | self.setBasicHeader() |
|
|||
| 2625 |
|
||||
| 2626 | processingHeaderSize = 40 # bytes |
|
|||
| 2627 | self.processingHeaderObj.dtype = 1 # Spectra |
|
|||
| 2628 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|||
| 2629 | self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints |
|
|||
| 2630 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|||
| 2631 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|||
| 2632 | self.processingHeaderObj.processFlags = self.__getProcessFlags() |
|
|||
| 2633 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval |
|
|||
| 2634 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt |
|
|||
| 2635 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels |
|
|||
| 2636 | self.processingHeaderObj.shif_fft = self.dataOut.flagShiftFFT |
|
|||
| 2637 |
|
||||
| 2638 | if self.processingHeaderObj.totalSpectra > 0: |
|
|||
| 2639 | channelList = [] |
|
|||
| 2640 | for channel in range(self.dataOut.nChannels): |
|
|||
| 2641 | channelList.append(channel) |
|
|||
| 2642 | channelList.append(channel) |
|
|||
| 2643 |
|
||||
| 2644 | pairsList = [] |
|
|||
| 2645 | if self.dataOut.nPairs > 0: |
|
|||
| 2646 | for pair in self.dataOut.pairsList: |
|
|||
| 2647 | pairsList.append(pair[0]) |
|
|||
| 2648 | pairsList.append(pair[1]) |
|
|||
| 2649 |
|
||||
| 2650 | spectraComb = channelList + pairsList |
|
|||
| 2651 | spectraComb = numpy.array(spectraComb,dtype="u1") |
|
|||
| 2652 | self.processingHeaderObj.spectraComb = spectraComb |
|
|||
| 2653 | sizeOfSpcComb = len(spectraComb) |
|
|||
| 2654 | processingHeaderSize += sizeOfSpcComb |
|
|||
| 2655 |
|
||||
| 2656 | # The processing header should not have information about code |
|
|||
| 2657 | # if self.dataOut.code != None: |
|
|||
| 2658 | # self.processingHeaderObj.code = self.dataOut.code |
|
|||
| 2659 | # self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|||
| 2660 | # self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|||
| 2661 | # nCodeSize = 4 # bytes |
|
|||
| 2662 | # nBaudSize = 4 # bytes |
|
|||
| 2663 | # codeSize = 4 # bytes |
|
|||
| 2664 | # sizeOfCode = int(nCodeSize + nBaudSize + codeSize * self.dataOut.nCode * self.dataOut.nBaud) |
|
|||
| 2665 | # processingHeaderSize += sizeOfCode |
|
|||
| 2666 |
|
||||
| 2667 | if self.processingHeaderObj.nWindows != 0: |
|
|||
| 2668 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|||
| 2669 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|||
| 2670 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|||
| 2671 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|||
| 2672 | sizeOfFirstHeight = 4 |
|
|||
| 2673 | sizeOfdeltaHeight = 4 |
|
|||
| 2674 | sizeOfnHeights = 4 |
|
|||
| 2675 | sizeOfWindows = (sizeOfFirstHeight + sizeOfdeltaHeight + sizeOfnHeights)*self.processingHeaderObj.nWindows |
|
|||
| 2676 | processingHeaderSize += sizeOfWindows |
|
|||
| 2677 |
|
||||
| 2678 | self.processingHeaderObj.size = processingHeaderSize |
|
|||
| 2679 |
|
||||
| 2680 | class SpectraHeisWriter(Operation): |
|
|||
| 2681 | # set = None |
|
|||
| 2682 | setFile = None |
|
|||
| 2683 | idblock = None |
|
|||
| 2684 | doypath = None |
|
|||
| 2685 | subfolder = None |
|
|||
| 2686 |
|
||||
| 2687 | def __init__(self): |
|
|||
| 2688 | self.wrObj = FITS() |
|
|||
| 2689 | # self.dataOut = dataOut |
|
|||
| 2690 | self.nTotalBlocks=0 |
|
|||
| 2691 | # self.set = None |
|
|||
| 2692 | self.setFile = None |
|
|||
| 2693 | self.idblock = 0 |
|
|||
| 2694 | self.wrpath = None |
|
|||
| 2695 | self.doypath = None |
|
|||
| 2696 | self.subfolder = None |
|
|||
| 2697 | self.isConfig = False |
|
|||
| 2698 |
|
||||
| 2699 | def isNumber(str): |
|
|||
| 2700 | """ |
|
|||
| 2701 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|||
| 2702 |
|
||||
| 2703 | Excepciones: |
|
|||
| 2704 | Si un determinado string no puede ser convertido a numero |
|
|||
| 2705 | Input: |
|
|||
| 2706 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|||
| 2707 |
|
||||
| 2708 | Return: |
|
|||
| 2709 | True : si el string es uno numerico |
|
|||
| 2710 | False : no es un string numerico |
|
|||
| 2711 | """ |
|
|||
| 2712 | try: |
|
|||
| 2713 | float( str ) |
|
|||
| 2714 | return True |
|
|||
| 2715 | except: |
|
|||
| 2716 | return False |
|
|||
| 2717 |
|
||||
| 2718 | def setup(self, dataOut, wrpath): |
|
|||
| 2719 |
|
||||
| 2720 | if not(os.path.exists(wrpath)): |
|
|||
| 2721 | os.mkdir(wrpath) |
|
|||
| 2722 |
|
||||
| 2723 | self.wrpath = wrpath |
|
|||
| 2724 | # self.setFile = 0 |
|
|||
| 2725 | self.dataOut = dataOut |
|
|||
| 2726 |
|
||||
| 2727 | def putData(self): |
|
|||
| 2728 | name= time.localtime( self.dataOut.utctime) |
|
|||
| 2729 | ext=".fits" |
|
|||
| 2730 |
|
||||
| 2731 | if self.doypath == None: |
|
|||
| 2732 | self.subfolder = 'F%4.4d%3.3d_%d' % (name.tm_year,name.tm_yday,time.mktime(datetime.datetime.now().timetuple())) |
|
|||
| 2733 | self.doypath = os.path.join( self.wrpath, self.subfolder ) |
|
|||
| 2734 | os.mkdir(self.doypath) |
|
|||
| 2735 |
|
||||
| 2736 | if self.setFile == None: |
|
|||
| 2737 | # self.set = self.dataOut.set |
|
|||
| 2738 | self.setFile = 0 |
|
|||
| 2739 | # if self.set != self.dataOut.set: |
|
|||
| 2740 | ## self.set = self.dataOut.set |
|
|||
| 2741 | # self.setFile = 0 |
|
|||
| 2742 |
|
||||
| 2743 | #make the filename |
|
|||
| 2744 | file = 'D%4.4d%3.3d_%3.3d%s' % (name.tm_year,name.tm_yday,self.setFile,ext) |
|
|||
| 2745 |
|
||||
| 2746 | filename = os.path.join(self.wrpath,self.subfolder, file) |
|
|||
| 2747 |
|
||||
| 2748 | idblock = numpy.array([self.idblock],dtype="int64") |
|
|||
| 2749 | header=self.wrObj.cFImage(idblock=idblock, |
|
|||
| 2750 | year=time.gmtime(self.dataOut.utctime).tm_year, |
|
|||
| 2751 | month=time.gmtime(self.dataOut.utctime).tm_mon, |
|
|||
| 2752 | day=time.gmtime(self.dataOut.utctime).tm_mday, |
|
|||
| 2753 | hour=time.gmtime(self.dataOut.utctime).tm_hour, |
|
|||
| 2754 | minute=time.gmtime(self.dataOut.utctime).tm_min, |
|
|||
| 2755 | second=time.gmtime(self.dataOut.utctime).tm_sec) |
|
|||
| 2756 |
|
||||
| 2757 | c=3E8 |
|
|||
| 2758 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|||
| 2759 | freq=numpy.arange(-1*self.dataOut.nHeights/2.,self.dataOut.nHeights/2.)*(c/(2*deltaHeight*1000)) |
|
|||
| 2760 |
|
||||
| 2761 | colList = [] |
|
|||
| 2762 |
|
||||
| 2763 | colFreq=self.wrObj.setColF(name="freq", format=str(self.dataOut.nFFTPoints)+'E', array=freq) |
|
|||
| 2764 |
|
||||
| 2765 | colList.append(colFreq) |
|
|||
| 2766 |
|
||||
| 2767 | nchannel=self.dataOut.nChannels |
|
|||
| 2768 |
|
||||
| 2769 | for i in range(nchannel): |
|
|||
| 2770 | col = self.wrObj.writeData(name="PCh"+str(i+1), |
|
|||
| 2771 | format=str(self.dataOut.nFFTPoints)+'E', |
|
|||
| 2772 | data=10*numpy.log10(self.dataOut.data_spc[i,:])) |
|
|||
| 2773 |
|
||||
| 2774 | colList.append(col) |
|
|||
| 2775 |
|
||||
| 2776 | data=self.wrObj.Ctable(colList=colList) |
|
|||
| 2777 |
|
||||
| 2778 | self.wrObj.CFile(header,data) |
|
|||
| 2779 |
|
||||
| 2780 | self.wrObj.wFile(filename) |
|
|||
| 2781 |
|
||||
| 2782 | #update the setFile |
|
|||
| 2783 | self.setFile += 1 |
|
|||
| 2784 | self.idblock += 1 |
|
|||
| 2785 |
|
||||
| 2786 | return 1 |
|
|||
| 2787 |
|
||||
| 2788 | def run(self, dataOut, **kwargs): |
|
|||
| 2789 |
|
||||
| 2790 | if not(self.isConfig): |
|
|||
| 2791 |
|
||||
| 2792 | self.setup(dataOut, **kwargs) |
|
|||
| 2793 | self.isConfig = True |
|
|||
| 2794 |
|
||||
| 2795 | self.putData() |
|
|||
| 2796 |
|
||||
| 2797 |
|
||||
| 2798 |
|
||||
| 2799 | class ParameterConf: |
|
|||
| 2800 | ELEMENTNAME = 'Parameter' |
|
|||
| 2801 | def __init__(self): |
|
|||
| 2802 | self.name = '' |
|
|||
| 2803 | self.value = '' |
|
|||
| 2804 |
|
||||
| 2805 | def readXml(self, parmElement): |
|
|||
| 2806 | self.name = parmElement.get('name') |
|
|||
| 2807 | self.value = parmElement.get('value') |
|
|||
| 2808 |
|
||||
| 2809 | def getElementName(self): |
|
|||
| 2810 | return self.ELEMENTNAME |
|
|||
| 2811 |
|
||||
| 2812 | class Metadata: |
|
|||
| 2813 |
|
||||
| 2814 | def __init__(self, filename): |
|
|||
| 2815 | self.parmConfObjList = [] |
|
|||
| 2816 | self.readXml(filename) |
|
|||
| 2817 |
|
||||
| 2818 | def readXml(self, filename): |
|
|||
| 2819 | self.projectElement = None |
|
|||
| 2820 | self.procUnitConfObjDict = {} |
|
|||
| 2821 | self.projectElement = ElementTree().parse(filename) |
|
|||
| 2822 | self.project = self.projectElement.tag |
|
|||
| 2823 |
|
||||
| 2824 | parmElementList = self.projectElement.getiterator(ParameterConf().getElementName()) |
|
|||
| 2825 |
|
||||
| 2826 | for parmElement in parmElementList: |
|
|||
| 2827 | parmConfObj = ParameterConf() |
|
|||
| 2828 | parmConfObj.readXml(parmElement) |
|
|||
| 2829 | self.parmConfObjList.append(parmConfObj) |
|
|||
| 2830 |
|
||||
| 2831 | class FitsWriter(Operation): |
|
|||
| 2832 |
|
||||
| 2833 | def __init__(self): |
|
|||
| 2834 | self.isConfig = False |
|
|||
| 2835 | self.dataBlocksPerFile = None |
|
|||
| 2836 | self.blockIndex = 0 |
|
|||
| 2837 | self.flagIsNewFile = 1 |
|
|||
| 2838 | self.fitsObj = None |
|
|||
| 2839 | self.optchar = 'P' |
|
|||
| 2840 | self.ext = '.fits' |
|
|||
| 2841 | self.setFile = 0 |
|
|||
| 2842 |
|
||||
| 2843 | def setFitsHeader(self, dataOut, metadatafile): |
|
|||
| 2844 |
|
||||
| 2845 | header_data = pyfits.PrimaryHDU() |
|
|||
| 2846 |
|
||||
| 2847 | metadata4fits = Metadata(metadatafile) |
|
|||
| 2848 | for parameter in metadata4fits.parmConfObjList: |
|
|||
| 2849 | parm_name = parameter.name |
|
|||
| 2850 | parm_value = parameter.value |
|
|||
| 2851 |
|
||||
| 2852 | # if parm_value == 'fromdatadatetime': |
|
|||
| 2853 | # value = time.strftime("%b %d %Y %H:%M:%S", dataOut.datatime.timetuple()) |
|
|||
| 2854 | # elif parm_value == 'fromdataheights': |
|
|||
| 2855 | # value = dataOut.nHeights |
|
|||
| 2856 | # elif parm_value == 'fromdatachannel': |
|
|||
| 2857 | # value = dataOut.nChannels |
|
|||
| 2858 | # elif parm_value == 'fromdatasamples': |
|
|||
| 2859 | # value = dataOut.nFFTPoints |
|
|||
| 2860 | # else: |
|
|||
| 2861 | # value = parm_value |
|
|||
| 2862 |
|
||||
| 2863 | header_data.header[parm_name] = parm_value |
|
|||
| 2864 |
|
||||
| 2865 |
|
||||
| 2866 | header_data.header['DATETIME'] = time.strftime("%b %d %Y %H:%M:%S", dataOut.datatime.timetuple()) |
|
|||
| 2867 | header_data.header['CHANNELLIST'] = str(dataOut.channelList) |
|
|||
| 2868 | header_data.header['NCHANNELS'] = dataOut.nChannels |
|
|||
| 2869 | #header_data.header['HEIGHTS'] = dataOut.heightList |
|
|||
| 2870 | header_data.header['NHEIGHTS'] = dataOut.nHeights |
|
|||
| 2871 |
|
||||
| 2872 | header_data.header['IPPSECONDS'] = dataOut.ippSeconds |
|
|||
| 2873 | header_data.header['NCOHINT'] = dataOut.nCohInt |
|
|||
| 2874 | header_data.header['NINCOHINT'] = dataOut.nIncohInt |
|
|||
| 2875 | header_data.header['TIMEZONE'] = dataOut.timeZone |
|
|||
| 2876 | header_data.header['NBLOCK'] = self.blockIndex |
|
|||
| 2877 |
|
||||
| 2878 | header_data.writeto(self.filename) |
|
|||
| 2879 |
|
||||
| 2880 | self.addExtension(dataOut.heightList,'HEIGHTLIST') |
|
|||
| 2881 |
|
||||
| 2882 |
|
||||
| 2883 | def setup(self, dataOut, path, dataBlocksPerFile, metadatafile): |
|
|||
| 2884 |
|
||||
| 2885 | self.path = path |
|
|||
| 2886 | self.dataOut = dataOut |
|
|||
| 2887 | self.metadatafile = metadatafile |
|
|||
| 2888 | self.dataBlocksPerFile = dataBlocksPerFile |
|
|||
| 2889 |
|
||||
| 2890 | def open(self): |
|
|||
| 2891 | self.fitsObj = pyfits.open(self.filename, mode='update') |
|
|||
| 2892 |
|
||||
| 2893 |
|
||||
| 2894 | def addExtension(self, data, tagname): |
|
|||
| 2895 | self.open() |
|
|||
| 2896 | extension = pyfits.ImageHDU(data=data, name=tagname) |
|
|||
| 2897 | #extension.header['TAG'] = tagname |
|
|||
| 2898 | self.fitsObj.append(extension) |
|
|||
| 2899 | self.write() |
|
|||
| 2900 |
|
||||
| 2901 | def addData(self, data): |
|
|||
| 2902 | self.open() |
|
|||
| 2903 | extension = pyfits.ImageHDU(data=data, name=self.fitsObj[0].header['DATATYPE']) |
|
|||
| 2904 | extension.header['UTCTIME'] = self.dataOut.utctime |
|
|||
| 2905 | self.fitsObj.append(extension) |
|
|||
| 2906 | self.blockIndex += 1 |
|
|||
| 2907 | self.fitsObj[0].header['NBLOCK'] = self.blockIndex |
|
|||
| 2908 |
|
||||
| 2909 | self.write() |
|
|||
| 2910 |
|
||||
| 2911 | def write(self): |
|
|||
| 2912 |
|
||||
| 2913 | self.fitsObj.flush(verbose=True) |
|
|||
| 2914 | self.fitsObj.close() |
|
|||
| 2915 |
|
||||
| 2916 |
|
||||
| 2917 | def setNextFile(self): |
|
|||
| 2918 |
|
||||
| 2919 | ext = self.ext |
|
|||
| 2920 | path = self.path |
|
|||
| 2921 |
|
||||
| 2922 | timeTuple = time.localtime( self.dataOut.utctime) |
|
|||
| 2923 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|||
| 2924 |
|
||||
| 2925 | fullpath = os.path.join( path, subfolder ) |
|
|||
| 2926 | if not( os.path.exists(fullpath) ): |
|
|||
| 2927 | os.mkdir(fullpath) |
|
|||
| 2928 | self.setFile = -1 #inicializo mi contador de seteo |
|
|||
| 2929 | else: |
|
|||
| 2930 | filesList = os.listdir( fullpath ) |
|
|||
| 2931 | if len( filesList ) > 0: |
|
|||
| 2932 | filesList = sorted( filesList, key=str.lower ) |
|
|||
| 2933 | filen = filesList[-1] |
|
|||
| 2934 |
|
||||
| 2935 | if isNumber( filen[8:11] ): |
|
|||
| 2936 | self.setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|||
| 2937 | else: |
|
|||
| 2938 | self.setFile = -1 |
|
|||
| 2939 | else: |
|
|||
| 2940 | self.setFile = -1 #inicializo mi contador de seteo |
|
|||
| 2941 |
|
||||
| 2942 | setFile = self.setFile |
|
|||
| 2943 | setFile += 1 |
|
|||
| 2944 |
|
||||
| 2945 | file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, |
|
|||
| 2946 | timeTuple.tm_year, |
|
|||
| 2947 | timeTuple.tm_yday, |
|
|||
| 2948 | setFile, |
|
|||
| 2949 | ext ) |
|
|||
| 2950 |
|
||||
| 2951 | filename = os.path.join( path, subfolder, file ) |
|
|||
| 2952 |
|
||||
| 2953 | self.blockIndex = 0 |
|
|||
| 2954 | self.filename = filename |
|
|||
| 2955 | self.setFile = setFile |
|
|||
| 2956 | self.flagIsNewFile = 1 |
|
|||
| 2957 |
|
||||
| 2958 | print 'Writing the file: %s'%self.filename |
|
|||
| 2959 |
|
||||
| 2960 | self.setFitsHeader(self.dataOut, self.metadatafile) |
|
|||
| 2961 |
|
||||
| 2962 | return 1 |
|
|||
| 2963 |
|
||||
| 2964 | def writeBlock(self): |
|
|||
| 2965 | self.addData(self.dataOut.data_spc) |
|
|||
| 2966 | self.flagIsNewFile = 0 |
|
|||
| 2967 |
|
||||
| 2968 |
|
||||
| 2969 | def __setNewBlock(self): |
|
|||
| 2970 |
|
||||
| 2971 | if self.flagIsNewFile: |
|
|||
| 2972 | return 1 |
|
|||
| 2973 |
|
||||
| 2974 | if self.blockIndex < self.dataBlocksPerFile: |
|
|||
| 2975 | return 1 |
|
|||
| 2976 |
|
||||
| 2977 | if not( self.setNextFile() ): |
|
|||
| 2978 | return 0 |
|
|||
| 2979 |
|
||||
| 2980 | return 1 |
|
|||
| 2981 |
|
||||
| 2982 | def writeNextBlock(self): |
|
|||
| 2983 | if not( self.__setNewBlock() ): |
|
|||
| 2984 | return 0 |
|
|||
| 2985 | self.writeBlock() |
|
|||
| 2986 | return 1 |
|
|||
| 2987 |
|
||||
| 2988 | def putData(self): |
|
|||
| 2989 | if self.flagIsNewFile: |
|
|||
| 2990 | self.setNextFile() |
|
|||
| 2991 | self.writeNextBlock() |
|
|||
| 2992 |
|
||||
| 2993 | def run(self, dataOut, **kwargs): |
|
|||
| 2994 | if not(self.isConfig): |
|
|||
| 2995 | self.setup(dataOut, **kwargs) |
|
|||
| 2996 | self.isConfig = True |
|
|||
| 2997 | self.putData() |
|
|||
| 2998 |
|
||||
| 2999 |
|
||||
| 3000 | class FitsReader(ProcessingUnit): |
|
|||
| 3001 |
|
||||
| 3002 | # __TIMEZONE = time.timezone |
|
|||
| 3003 |
|
||||
| 3004 | expName = None |
|
|||
| 3005 | datetimestr = None |
|
|||
| 3006 | utc = None |
|
|||
| 3007 | nChannels = None |
|
|||
| 3008 | nSamples = None |
|
|||
| 3009 | dataBlocksPerFile = None |
|
|||
| 3010 | comments = None |
|
|||
| 3011 | lastUTTime = None |
|
|||
| 3012 | header_dict = None |
|
|||
| 3013 | data = None |
|
|||
| 3014 | data_header_dict = None |
|
|||
| 3015 |
|
||||
| 3016 | def __init__(self): |
|
|||
| 3017 | self.isConfig = False |
|
|||
| 3018 | self.ext = '.fits' |
|
|||
| 3019 | self.setFile = 0 |
|
|||
| 3020 | self.flagNoMoreFiles = 0 |
|
|||
| 3021 | self.flagIsNewFile = 1 |
|
|||
| 3022 | self.flagTimeBlock = None |
|
|||
| 3023 | self.fileIndex = None |
|
|||
| 3024 | self.filename = None |
|
|||
| 3025 | self.fileSize = None |
|
|||
| 3026 | self.fitsObj = None |
|
|||
| 3027 | self.timeZone = None |
|
|||
| 3028 | self.nReadBlocks = 0 |
|
|||
| 3029 | self.nTotalBlocks = 0 |
|
|||
| 3030 | self.dataOut = self.createObjByDefault() |
|
|||
| 3031 | self.maxTimeStep = 10# deberia ser definido por el usuario usando el metodo setup() |
|
|||
| 3032 | self.blockIndex = 1 |
|
|||
| 3033 |
|
||||
| 3034 | def createObjByDefault(self): |
|
|||
| 3035 |
|
||||
| 3036 | dataObj = Fits() |
|
|||
| 3037 |
|
||||
| 3038 | return dataObj |
|
|||
| 3039 |
|
||||
| 3040 | def isFileinThisTime(self, filename, startTime, endTime, useLocalTime=False): |
|
|||
| 3041 | try: |
|
|||
| 3042 | fitsObj = pyfits.open(filename,'readonly') |
|
|||
| 3043 | except: |
|
|||
| 3044 | raise IOError, "The file %s can't be opened" %(filename) |
|
|||
| 3045 |
|
||||
| 3046 | header = fitsObj[0].header |
|
|||
| 3047 | struct_time = time.strptime(header['DATETIME'], "%b %d %Y %H:%M:%S") |
|
|||
| 3048 | utc = time.mktime(struct_time) - time.timezone #TIMEZONE debe ser un parametro del header FITS |
|
|||
| 3049 |
|
||||
| 3050 | ltc = utc |
|
|||
| 3051 | if useLocalTime: |
|
|||
| 3052 | ltc -= time.timezone |
|
|||
| 3053 | thisDatetime = datetime.datetime.utcfromtimestamp(ltc) |
|
|||
| 3054 | thisTime = thisDatetime.time() |
|
|||
| 3055 |
|
||||
| 3056 | if not ((startTime <= thisTime) and (endTime > thisTime)): |
|
|||
| 3057 | return None |
|
|||
| 3058 |
|
||||
| 3059 | return thisDatetime |
|
|||
| 3060 |
|
||||
| 3061 | def __setNextFileOnline(self): |
|
|||
| 3062 | raise ValueError, "No implemented" |
|
|||
| 3063 |
|
||||
| 3064 | def __setNextFileOffline(self): |
|
|||
| 3065 | idFile = self.fileIndex |
|
|||
| 3066 |
|
||||
| 3067 | while (True): |
|
|||
| 3068 | idFile += 1 |
|
|||
| 3069 | if not(idFile < len(self.filenameList)): |
|
|||
| 3070 | self.flagNoMoreFiles = 1 |
|
|||
| 3071 | print "No more Files" |
|
|||
| 3072 | return 0 |
|
|||
| 3073 |
|
||||
| 3074 | filename = self.filenameList[idFile] |
|
|||
| 3075 |
|
||||
| 3076 | # if not(self.__verifyFile(filename)): |
|
|||
| 3077 | # continue |
|
|||
| 3078 |
|
||||
| 3079 | fileSize = os.path.getsize(filename) |
|
|||
| 3080 | fitsObj = pyfits.open(filename,'readonly') |
|
|||
| 3081 | break |
|
|||
| 3082 |
|
||||
| 3083 | self.flagIsNewFile = 1 |
|
|||
| 3084 | self.fileIndex = idFile |
|
|||
| 3085 | self.filename = filename |
|
|||
| 3086 | self.fileSize = fileSize |
|
|||
| 3087 | self.fitsObj = fitsObj |
|
|||
| 3088 | self.blockIndex = 0 |
|
|||
| 3089 | print "Setting the file: %s"%self.filename |
|
|||
| 3090 |
|
||||
| 3091 | return 1 |
|
|||
| 3092 |
|
||||
| 3093 | def readHeader(self): |
|
|||
| 3094 | headerObj = self.fitsObj[0] |
|
|||
| 3095 |
|
||||
| 3096 | self.header_dict = headerObj.header |
|
|||
| 3097 | if 'EXPNAME' in headerObj.header.keys(): |
|
|||
| 3098 | self.expName = headerObj.header['EXPNAME'] |
|
|||
| 3099 |
|
||||
| 3100 | if 'DATATYPE' in headerObj.header.keys(): |
|
|||
| 3101 | self.dataType = headerObj.header['DATATYPE'] |
|
|||
| 3102 |
|
||||
| 3103 | self.datetimestr = headerObj.header['DATETIME'] |
|
|||
| 3104 | channelList = headerObj.header['CHANNELLIST'] |
|
|||
| 3105 | channelList = channelList.split('[') |
|
|||
| 3106 | channelList = channelList[1].split(']') |
|
|||
| 3107 | channelList = channelList[0].split(',') |
|
|||
| 3108 | channelList = [int(ch) for ch in channelList] |
|
|||
| 3109 | self.channelList = channelList |
|
|||
| 3110 | self.nChannels = headerObj.header['NCHANNELS'] |
|
|||
| 3111 | self.nHeights = headerObj.header['NHEIGHTS'] |
|
|||
| 3112 | self.ippSeconds = headerObj.header['IPPSECONDS'] |
|
|||
| 3113 | self.nCohInt = headerObj.header['NCOHINT'] |
|
|||
| 3114 | self.nIncohInt = headerObj.header['NINCOHINT'] |
|
|||
| 3115 | self.dataBlocksPerFile = headerObj.header['NBLOCK'] |
|
|||
| 3116 | self.timeZone = headerObj.header['TIMEZONE'] |
|
|||
| 3117 |
|
||||
| 3118 | self.timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|||
| 3119 |
|
||||
| 3120 | if 'COMMENT' in headerObj.header.keys(): |
|
|||
| 3121 | self.comments = headerObj.header['COMMENT'] |
|
|||
| 3122 |
|
||||
| 3123 | self.readHeightList() |
|
|||
| 3124 |
|
||||
| 3125 | def readHeightList(self): |
|
|||
| 3126 | self.blockIndex = self.blockIndex + 1 |
|
|||
| 3127 | obj = self.fitsObj[self.blockIndex] |
|
|||
| 3128 | self.heightList = obj.data |
|
|||
| 3129 | self.blockIndex = self.blockIndex + 1 |
|
|||
| 3130 |
|
||||
| 3131 | def readExtension(self): |
|
|||
| 3132 | obj = self.fitsObj[self.blockIndex] |
|
|||
| 3133 | self.heightList = obj.data |
|
|||
| 3134 | self.blockIndex = self.blockIndex + 1 |
|
|||
| 3135 |
|
||||
| 3136 | def setNextFile(self): |
|
|||
| 3137 |
|
||||
| 3138 | if self.online: |
|
|||
| 3139 | newFile = self.__setNextFileOnline() |
|
|||
| 3140 | else: |
|
|||
| 3141 | newFile = self.__setNextFileOffline() |
|
|||
| 3142 |
|
||||
| 3143 | if not(newFile): |
|
|||
| 3144 | return 0 |
|
|||
| 3145 |
|
||||
| 3146 | self.readHeader() |
|
|||
| 3147 |
|
||||
| 3148 | self.nReadBlocks = 0 |
|
|||
| 3149 | # self.blockIndex = 1 |
|
|||
| 3150 | return 1 |
|
|||
| 3151 |
|
||||
| 3152 | def __searchFilesOffLine(self, |
|
|||
| 3153 | path, |
|
|||
| 3154 | startDate, |
|
|||
| 3155 | endDate, |
|
|||
| 3156 | startTime=datetime.time(0,0,0), |
|
|||
| 3157 | endTime=datetime.time(23,59,59), |
|
|||
| 3158 | set=None, |
|
|||
| 3159 | expLabel='', |
|
|||
| 3160 | ext='.fits', |
|
|||
| 3161 | walk=True): |
|
|||
| 3162 |
|
||||
| 3163 | pathList = [] |
|
|||
| 3164 |
|
||||
| 3165 | if not walk: |
|
|||
| 3166 | pathList.append(path) |
|
|||
| 3167 |
|
||||
| 3168 | else: |
|
|||
| 3169 | dirList = [] |
|
|||
| 3170 | for thisPath in os.listdir(path): |
|
|||
| 3171 | if not os.path.isdir(os.path.join(path,thisPath)): |
|
|||
| 3172 | continue |
|
|||
| 3173 | if not isDoyFolder(thisPath): |
|
|||
| 3174 | continue |
|
|||
| 3175 |
|
||||
| 3176 | dirList.append(thisPath) |
|
|||
| 3177 |
|
||||
| 3178 | if not(dirList): |
|
|||
| 3179 | return None, None |
|
|||
| 3180 |
|
||||
| 3181 | thisDate = startDate |
|
|||
| 3182 |
|
||||
| 3183 | while(thisDate <= endDate): |
|
|||
| 3184 | year = thisDate.timetuple().tm_year |
|
|||
| 3185 | doy = thisDate.timetuple().tm_yday |
|
|||
| 3186 |
|
||||
| 3187 | matchlist = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy) + '*') |
|
|||
| 3188 | if len(matchlist) == 0: |
|
|||
| 3189 | thisDate += datetime.timedelta(1) |
|
|||
| 3190 | continue |
|
|||
| 3191 | for match in matchlist: |
|
|||
| 3192 | pathList.append(os.path.join(path,match,expLabel)) |
|
|||
| 3193 |
|
||||
| 3194 | thisDate += datetime.timedelta(1) |
|
|||
| 3195 |
|
||||
| 3196 | if pathList == []: |
|
|||
| 3197 | print "Any folder was found for the date range: %s-%s" %(startDate, endDate) |
|
|||
| 3198 | return None, None |
|
|||
| 3199 |
|
||||
| 3200 | print "%d folder(s) was(were) found for the date range: %s - %s" %(len(pathList), startDate, endDate) |
|
|||
| 3201 |
|
||||
| 3202 | filenameList = [] |
|
|||
| 3203 | datetimeList = [] |
|
|||
| 3204 |
|
||||
| 3205 | for i in range(len(pathList)): |
|
|||
| 3206 |
|
||||
| 3207 | thisPath = pathList[i] |
|
|||
| 3208 |
|
||||
| 3209 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|||
| 3210 | fileList.sort() |
|
|||
| 3211 |
|
||||
| 3212 | for file in fileList: |
|
|||
| 3213 |
|
||||
| 3214 | filename = os.path.join(thisPath,file) |
|
|||
| 3215 | thisDatetime = self.isFileinThisTime(filename, startTime, endTime) |
|
|||
| 3216 |
|
||||
| 3217 | if not(thisDatetime): |
|
|||
| 3218 | continue |
|
|||
| 3219 |
|
||||
| 3220 | filenameList.append(filename) |
|
|||
| 3221 | datetimeList.append(thisDatetime) |
|
|||
| 3222 |
|
||||
| 3223 | if not(filenameList): |
|
|||
| 3224 | print "Any file was found for the time range %s - %s" %(startTime, endTime) |
|
|||
| 3225 | return None, None |
|
|||
| 3226 |
|
||||
| 3227 | print "%d file(s) was(were) found for the time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
|||
| 3228 |
|
||||
| 3229 |
|
||||
| 3230 | for i in range(len(filenameList)): |
|
|||
| 3231 | print "%s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|||
| 3232 |
|
||||
| 3233 | self.filenameList = filenameList |
|
|||
| 3234 | self.datetimeList = datetimeList |
|
|||
| 3235 |
|
||||
| 3236 | return pathList, filenameList |
|
|||
| 3237 |
|
||||
| 3238 | def setup(self, path=None, |
|
|||
| 3239 | startDate=None, |
|
|||
| 3240 | endDate=None, |
|
|||
| 3241 | startTime=datetime.time(0,0,0), |
|
|||
| 3242 | endTime=datetime.time(23,59,59), |
|
|||
| 3243 | set=0, |
|
|||
| 3244 | expLabel = "", |
|
|||
| 3245 | ext = None, |
|
|||
| 3246 | online = False, |
|
|||
| 3247 | delay = 60, |
|
|||
| 3248 | walk = True): |
|
|||
| 3249 |
|
||||
| 3250 | if path == None: |
|
|||
| 3251 | raise ValueError, "The path is not valid" |
|
|||
| 3252 |
|
||||
| 3253 | if ext == None: |
|
|||
| 3254 | ext = self.ext |
|
|||
| 3255 |
|
||||
| 3256 | if not(online): |
|
|||
| 3257 | print "Searching files in offline mode ..." |
|
|||
| 3258 | pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|||
| 3259 | startTime=startTime, endTime=endTime, |
|
|||
| 3260 | set=set, expLabel=expLabel, ext=ext, |
|
|||
| 3261 | walk=walk) |
|
|||
| 3262 |
|
||||
| 3263 | if not(pathList): |
|
|||
| 3264 | print "No *%s files into the folder %s \nfor the range: %s - %s"%(ext, path, |
|
|||
| 3265 | datetime.datetime.combine(startDate,startTime).ctime(), |
|
|||
| 3266 | datetime.datetime.combine(endDate,endTime).ctime()) |
|
|||
| 3267 |
|
||||
| 3268 | sys.exit(-1) |
|
|||
| 3269 |
|
||||
| 3270 | self.fileIndex = -1 |
|
|||
| 3271 | self.pathList = pathList |
|
|||
| 3272 | self.filenameList = filenameList |
|
|||
| 3273 |
|
||||
| 3274 | self.online = online |
|
|||
| 3275 | self.delay = delay |
|
|||
| 3276 | ext = ext.lower() |
|
|||
| 3277 | self.ext = ext |
|
|||
| 3278 |
|
||||
| 3279 | if not(self.setNextFile()): |
|
|||
| 3280 | if (startDate!=None) and (endDate!=None): |
|
|||
| 3281 | print "No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|||
| 3282 | elif startDate != None: |
|
|||
| 3283 | print "No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|||
| 3284 | else: |
|
|||
| 3285 | print "No files" |
|
|||
| 3286 |
|
||||
| 3287 | sys.exit(-1) |
|
|||
| 3288 |
|
||||
| 3289 |
|
||||
| 3290 |
|
||||
| 3291 | def readBlock(self): |
|
|||
| 3292 | dataObj = self.fitsObj[self.blockIndex] |
|
|||
| 3293 |
|
||||
| 3294 | self.data = dataObj.data |
|
|||
| 3295 | self.data_header_dict = dataObj.header |
|
|||
| 3296 | self.utc = self.data_header_dict['UTCTIME'] |
|
|||
| 3297 |
|
||||
| 3298 | self.flagIsNewFile = 0 |
|
|||
| 3299 | self.blockIndex += 1 |
|
|||
| 3300 | self.nTotalBlocks += 1 |
|
|||
| 3301 | self.nReadBlocks += 1 |
|
|||
| 3302 |
|
||||
| 3303 | return 1 |
|
|||
| 3304 |
|
||||
| 3305 | def __jumpToLastBlock(self): |
|
|||
| 3306 | raise ValueError, "No implemented" |
|
|||
| 3307 |
|
||||
| 3308 | def __waitNewBlock(self): |
|
|||
| 3309 | """ |
|
|||
| 3310 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|||
| 3311 |
|
||||
| 3312 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|||
| 3313 | """ |
|
|||
| 3314 | if not self.online: |
|
|||
| 3315 | return 0 |
|
|||
| 3316 |
|
||||
| 3317 | if (self.nReadBlocks >= self.dataBlocksPerFile): |
|
|||
| 3318 | return 0 |
|
|||
| 3319 |
|
||||
| 3320 | currentPointer = self.fp.tell() |
|
|||
| 3321 |
|
||||
| 3322 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|||
| 3323 |
|
||||
| 3324 | for nTries in range( self.nTries ): |
|
|||
| 3325 |
|
||||
| 3326 | self.fp.close() |
|
|||
| 3327 | self.fp = open( self.filename, 'rb' ) |
|
|||
| 3328 | self.fp.seek( currentPointer ) |
|
|||
| 3329 |
|
||||
| 3330 | self.fileSize = os.path.getsize( self.filename ) |
|
|||
| 3331 | currentSize = self.fileSize - currentPointer |
|
|||
| 3332 |
|
||||
| 3333 | if ( currentSize >= neededSize ): |
|
|||
| 3334 | self.__rdBasicHeader() |
|
|||
| 3335 | return 1 |
|
|||
| 3336 |
|
||||
| 3337 | print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|||
| 3338 | time.sleep( self.delay ) |
|
|||
| 3339 |
|
||||
| 3340 |
|
||||
| 3341 | return 0 |
|
|||
| 3342 |
|
||||
| 3343 | def __setNewBlock(self): |
|
|||
| 3344 |
|
||||
| 3345 | if self.online: |
|
|||
| 3346 | self.__jumpToLastBlock() |
|
|||
| 3347 |
|
||||
| 3348 | if self.flagIsNewFile: |
|
|||
| 3349 | return 1 |
|
|||
| 3350 |
|
||||
| 3351 | self.lastUTTime = self.utc |
|
|||
| 3352 |
|
||||
| 3353 | if self.online: |
|
|||
| 3354 | if self.__waitNewBlock(): |
|
|||
| 3355 | return 1 |
|
|||
| 3356 |
|
||||
| 3357 | if self.nReadBlocks < self.dataBlocksPerFile: |
|
|||
| 3358 | return 1 |
|
|||
| 3359 |
|
||||
| 3360 | if not(self.setNextFile()): |
|
|||
| 3361 | return 0 |
|
|||
| 3362 |
|
||||
| 3363 | deltaTime = self.utc - self.lastUTTime |
|
|||
| 3364 |
|
||||
| 3365 | self.flagTimeBlock = 0 |
|
|||
| 3366 |
|
||||
| 3367 | if deltaTime > self.maxTimeStep: |
|
|||
| 3368 | self.flagTimeBlock = 1 |
|
|||
| 3369 |
|
||||
| 3370 | return 1 |
|
|||
| 3371 |
|
||||
| 3372 |
|
||||
| 3373 | def readNextBlock(self): |
|
|||
| 3374 | if not(self.__setNewBlock()): |
|
|||
| 3375 | return 0 |
|
|||
| 3376 |
|
||||
| 3377 | if not(self.readBlock()): |
|
|||
| 3378 | return 0 |
|
|||
| 3379 |
|
||||
| 3380 | return 1 |
|
|||
| 3381 |
|
||||
| 3382 |
|
||||
| 3383 | def getData(self): |
|
|||
| 3384 |
|
||||
| 3385 | if self.flagNoMoreFiles: |
|
|||
| 3386 | self.dataOut.flagNoData = True |
|
|||
| 3387 | print 'Process finished' |
|
|||
| 3388 | return 0 |
|
|||
| 3389 |
|
||||
| 3390 | self.flagTimeBlock = 0 |
|
|||
| 3391 | self.flagIsNewBlock = 0 |
|
|||
| 3392 |
|
||||
| 3393 | if not(self.readNextBlock()): |
|
|||
| 3394 | return 0 |
|
|||
| 3395 |
|
||||
| 3396 | if self.data == None: |
|
|||
| 3397 | self.dataOut.flagNoData = True |
|
|||
| 3398 | return 0 |
|
|||
| 3399 |
|
||||
| 3400 | self.dataOut.data = self.data |
|
|||
| 3401 | self.dataOut.data_header = self.data_header_dict |
|
|||
| 3402 | self.dataOut.utctime = self.utc |
|
|||
| 3403 |
|
||||
| 3404 | self.dataOut.header = self.header_dict |
|
|||
| 3405 | self.dataOut.expName = self.expName |
|
|||
| 3406 | self.dataOut.nChannels = self.nChannels |
|
|||
| 3407 | self.dataOut.timeZone = self.timeZone |
|
|||
| 3408 | self.dataOut.dataBlocksPerFile = self.dataBlocksPerFile |
|
|||
| 3409 | self.dataOut.comments = self.comments |
|
|||
| 3410 | self.dataOut.timeInterval = self.timeInterval |
|
|||
| 3411 | self.dataOut.channelList = self.channelList |
|
|||
| 3412 | self.dataOut.heightList = self.heightList |
|
|||
| 3413 | self.dataOut.flagNoData = False |
|
|||
| 3414 |
|
||||
| 3415 | return self.dataOut.data |
|
|||
| 3416 |
|
||||
| 3417 | def run(self, **kwargs): |
|
|||
| 3418 |
|
||||
| 3419 | if not(self.isConfig): |
|
|||
| 3420 | self.setup(**kwargs) |
|
|||
| 3421 | self.isConfig = True |
|
|||
| 3422 |
|
||||
| 3423 | self.getData() |
|
|||
| 3424 |
|
||||
| 3425 |
|
||||
| 3426 | class RadacHeader(): |
|
|||
| 3427 | def __init__(self, fp): |
|
|||
| 3428 | header = 'Raw11/Data/RadacHeader' |
|
|||
| 3429 | self.beamCodeByPulse = fp.get(header+'/BeamCode') |
|
|||
| 3430 | self.beamCode = fp.get('Raw11/Data/Beamcodes') |
|
|||
| 3431 | self.code = fp.get(header+'/Code') |
|
|||
| 3432 | self.frameCount = fp.get(header+'/FrameCount') |
|
|||
| 3433 | self.modeGroup = fp.get(header+'/ModeGroup') |
|
|||
| 3434 | self.nsamplesPulse = fp.get(header+'/NSamplesPulse') |
|
|||
| 3435 | self.pulseCount = fp.get(header+'/PulseCount') |
|
|||
| 3436 | self.radacTime = fp.get(header+'/RadacTime') |
|
|||
| 3437 | self.timeCount = fp.get(header+'/TimeCount') |
|
|||
| 3438 | self.timeStatus = fp.get(header+'/TimeStatus') |
|
|||
| 3439 |
|
||||
| 3440 | self.nrecords = self.pulseCount.shape[0] #numero de bloques |
|
|||
| 3441 | self.npulses = self.pulseCount.shape[1] #numero de perfiles |
|
|||
| 3442 | self.nsamples = self.nsamplesPulse[0,0] #numero de alturas |
|
|||
| 3443 | self.nbeams = self.beamCode.shape[1] #numero de beams |
|
|||
| 3444 |
|
||||
| 3445 |
|
||||
| 3446 | def getIndexRangeToPulse(self, idrecord=0): |
|
|||
| 3447 | indexToZero = numpy.where(self.pulseCount.value[idrecord,:]==0) |
|
|||
| 3448 | startPulseCountId = indexToZero[0][0] |
|
|||
| 3449 | endPulseCountId = startPulseCountId - 1 |
|
|||
| 3450 | range1 = numpy.arange(startPulseCountId,self.npulses,1) |
|
|||
| 3451 | range2 = numpy.arange(0,startPulseCountId,1) |
|
|||
| 3452 | return range1, range2 |
|
|||
| 3453 |
|
||||
| 3454 |
|
||||
| 3455 | class AMISRReader(ProcessingUnit): |
|
|||
| 3456 |
|
||||
| 3457 | path = None |
|
|||
| 3458 | startDate = None |
|
|||
| 3459 | endDate = None |
|
|||
| 3460 | startTime = None |
|
|||
| 3461 | endTime = None |
|
|||
| 3462 | walk = None |
|
|||
| 3463 | isConfig = False |
|
|||
| 3464 |
|
||||
| 3465 | def __init__(self): |
|
|||
| 3466 | self.set = None |
|
|||
| 3467 | self.subset = None |
|
|||
| 3468 | self.extension_file = '.h5' |
|
|||
| 3469 | self.dtc_str = 'dtc' |
|
|||
| 3470 | self.dtc_id = 0 |
|
|||
| 3471 | self.status = True |
|
|||
| 3472 | self.isConfig = False |
|
|||
| 3473 | self.dirnameList = [] |
|
|||
| 3474 | self.filenameList = [] |
|
|||
| 3475 | self.fileIndex = None |
|
|||
| 3476 | self.flagNoMoreFiles = False |
|
|||
| 3477 | self.flagIsNewFile = 0 |
|
|||
| 3478 | self.filename = '' |
|
|||
| 3479 | self.amisrFilePointer = None |
|
|||
| 3480 | self.radacHeaderObj = None |
|
|||
| 3481 | self.dataOut = self.__createObjByDefault() |
|
|||
| 3482 | self.datablock = None |
|
|||
| 3483 | self.rest_datablock = None |
|
|||
| 3484 | self.range = None |
|
|||
| 3485 | self.idrecord_count = 0 |
|
|||
| 3486 | self.profileIndex = 0 |
|
|||
| 3487 | self.idpulse_range1 = None |
|
|||
| 3488 | self.idpulse_range2 = None |
|
|||
| 3489 | self.beamCodeByFrame = None |
|
|||
| 3490 | self.radacTimeByFrame = None |
|
|||
| 3491 | #atributos originales tal y como esta en el archivo de datos |
|
|||
| 3492 | self.beamCodesFromFile = None |
|
|||
| 3493 | self.radacTimeFromFile = None |
|
|||
| 3494 | self.rangeFromFile = None |
|
|||
| 3495 | self.dataByFrame = None |
|
|||
| 3496 | self.dataset = None |
|
|||
| 3497 |
|
||||
| 3498 | self.beamCodeDict = {} |
|
|||
| 3499 | self.beamRangeDict = {} |
|
|||
| 3500 |
|
||||
| 3501 | #experiment cgf file |
|
|||
| 3502 | self.npulsesint_fromfile = None |
|
|||
| 3503 | self.recordsperfile_fromfile = None |
|
|||
| 3504 | self.nbeamcodes_fromfile = None |
|
|||
| 3505 | self.ngates_fromfile = None |
|
|||
| 3506 | self.ippSeconds_fromfile = None |
|
|||
| 3507 | self.frequency_h5file = None |
|
|||
| 3508 |
|
||||
| 3509 |
|
||||
| 3510 | self.__firstFile = True |
|
|||
| 3511 | self.buffer_radactime = None |
|
|||
| 3512 |
|
||||
| 3513 | def __createObjByDefault(self): |
|
|||
| 3514 |
|
||||
| 3515 | dataObj = AMISR() |
|
|||
| 3516 |
|
||||
| 3517 | return dataObj |
|
|||
| 3518 |
|
||||
| 3519 | def __setParameters(self,path,startDate,endDate,startTime,endTime,walk): |
|
|||
| 3520 | self.path = path |
|
|||
| 3521 | self.startDate = startDate |
|
|||
| 3522 | self.endDate = endDate |
|
|||
| 3523 | self.startTime = startTime |
|
|||
| 3524 | self.endTime = endTime |
|
|||
| 3525 | self.walk = walk |
|
|||
| 3526 |
|
||||
| 3527 | def __checkPath(self): |
|
|||
| 3528 | if os.path.exists(self.path): |
|
|||
| 3529 | self.status = 1 |
|
|||
| 3530 | else: |
|
|||
| 3531 | self.status = 0 |
|
|||
| 3532 | print 'Path:%s does not exists'%self.path |
|
|||
| 3533 |
|
||||
| 3534 | return |
|
|||
| 3535 |
|
||||
| 3536 | def __selDates(self, amisr_dirname_format): |
|
|||
| 3537 | try: |
|
|||
| 3538 | year = int(amisr_dirname_format[0:4]) |
|
|||
| 3539 | month = int(amisr_dirname_format[4:6]) |
|
|||
| 3540 | dom = int(amisr_dirname_format[6:8]) |
|
|||
| 3541 | thisDate = datetime.date(year,month,dom) |
|
|||
| 3542 |
|
||||
| 3543 | if (thisDate>=self.startDate and thisDate <= self.endDate): |
|
|||
| 3544 | return amisr_dirname_format |
|
|||
| 3545 | except: |
|
|||
| 3546 | return None |
|
|||
| 3547 |
|
||||
| 3548 | def __findDataForDates(self): |
|
|||
| 3549 |
|
||||
| 3550 |
|
||||
| 3551 |
|
||||
| 3552 | if not(self.status): |
|
|||
| 3553 | return None |
|
|||
| 3554 |
|
||||
| 3555 | pat = '\d+.\d+' |
|
|||
| 3556 | dirnameList = [re.search(pat,x) for x in os.listdir(self.path)] |
|
|||
| 3557 | dirnameList = filter(lambda x:x!=None,dirnameList) |
|
|||
| 3558 | dirnameList = [x.string for x in dirnameList] |
|
|||
| 3559 | dirnameList = [self.__selDates(x) for x in dirnameList] |
|
|||
| 3560 | dirnameList = filter(lambda x:x!=None,dirnameList) |
|
|||
| 3561 | if len(dirnameList)>0: |
|
|||
| 3562 | self.status = 1 |
|
|||
| 3563 | self.dirnameList = dirnameList |
|
|||
| 3564 | self.dirnameList.sort() |
|
|||
| 3565 | else: |
|
|||
| 3566 | self.status = 0 |
|
|||
| 3567 | return None |
|
|||
| 3568 |
|
||||
| 3569 | def __getTimeFromData(self): |
|
|||
| 3570 | pass |
|
|||
| 3571 |
|
||||
| 3572 | def __filterByGlob1(self, dirName): |
|
|||
| 3573 | filter_files = glob.glob1(dirName, '*.*%s'%self.extension_file) |
|
|||
| 3574 | filterDict = {} |
|
|||
| 3575 | filterDict.setdefault(dirName) |
|
|||
| 3576 | filterDict[dirName] = filter_files |
|
|||
| 3577 | return filterDict |
|
|||
| 3578 |
|
||||
| 3579 | def __getFilenameList(self, fileListInKeys, dirList): |
|
|||
| 3580 | for value in fileListInKeys: |
|
|||
| 3581 | dirName = value.keys()[0] |
|
|||
| 3582 | for file in value[dirName]: |
|
|||
| 3583 | filename = os.path.join(dirName, file) |
|
|||
| 3584 | self.filenameList.append(filename) |
|
|||
| 3585 |
|
||||
| 3586 |
|
||||
| 3587 | def __selectDataForTimes(self): |
|
|||
| 3588 | #aun no esta implementado el filtro for tiempo |
|
|||
| 3589 | if not(self.status): |
|
|||
| 3590 | return None |
|
|||
| 3591 |
|
||||
| 3592 | dirList = [os.path.join(self.path,x) for x in self.dirnameList] |
|
|||
| 3593 |
|
||||
| 3594 | fileListInKeys = [self.__filterByGlob1(x) for x in dirList] |
|
|||
| 3595 |
|
||||
| 3596 | self.__getFilenameList(fileListInKeys, dirList) |
|
|||
| 3597 |
|
||||
| 3598 | if len(self.filenameList)>0: |
|
|||
| 3599 | self.status = 1 |
|
|||
| 3600 | self.filenameList.sort() |
|
|||
| 3601 | else: |
|
|||
| 3602 | self.status = 0 |
|
|||
| 3603 | return None |
|
|||
| 3604 |
|
||||
| 3605 |
|
||||
| 3606 | def __searchFilesOffline(self, |
|
|||
| 3607 | path, |
|
|||
| 3608 | startDate, |
|
|||
| 3609 | endDate, |
|
|||
| 3610 | startTime=datetime.time(0,0,0), |
|
|||
| 3611 | endTime=datetime.time(23,59,59), |
|
|||
| 3612 | walk=True): |
|
|||
| 3613 |
|
||||
| 3614 | self.__setParameters(path, startDate, endDate, startTime, endTime, walk) |
|
|||
| 3615 |
|
||||
| 3616 | self.__checkPath() |
|
|||
| 3617 |
|
||||
| 3618 | self.__findDataForDates() |
|
|||
| 3619 |
|
||||
| 3620 | self.__selectDataForTimes() |
|
|||
| 3621 |
|
||||
| 3622 | for i in range(len(self.filenameList)): |
|
|||
| 3623 | print "%s" %(self.filenameList[i]) |
|
|||
| 3624 |
|
||||
| 3625 | return |
|
|||
| 3626 |
|
||||
| 3627 | def __setNextFileOffline(self): |
|
|||
| 3628 | idFile = self.fileIndex |
|
|||
| 3629 |
|
||||
| 3630 | while (True): |
|
|||
| 3631 | idFile += 1 |
|
|||
| 3632 | if not(idFile < len(self.filenameList)): |
|
|||
| 3633 | self.flagNoMoreFiles = 1 |
|
|||
| 3634 | print "No more Files" |
|
|||
| 3635 | return 0 |
|
|||
| 3636 |
|
||||
| 3637 | filename = self.filenameList[idFile] |
|
|||
| 3638 |
|
||||
| 3639 | amisrFilePointer = h5py.File(filename,'r') |
|
|||
| 3640 |
|
||||
| 3641 | break |
|
|||
| 3642 |
|
||||
| 3643 | self.flagIsNewFile = 1 |
|
|||
| 3644 | self.fileIndex = idFile |
|
|||
| 3645 | self.filename = filename |
|
|||
| 3646 |
|
||||
| 3647 | self.amisrFilePointer = amisrFilePointer |
|
|||
| 3648 |
|
||||
| 3649 | print "Setting the file: %s"%self.filename |
|
|||
| 3650 |
|
||||
| 3651 | return 1 |
|
|||
| 3652 |
|
||||
| 3653 | def __readHeader(self): |
|
|||
| 3654 | self.radacHeaderObj = RadacHeader(self.amisrFilePointer) |
|
|||
| 3655 |
|
||||
| 3656 | #update values from experiment cfg file |
|
|||
| 3657 | if self.radacHeaderObj.nrecords == self.recordsperfile_fromfile: |
|
|||
| 3658 | self.radacHeaderObj.nrecords = self.recordsperfile_fromfile |
|
|||
| 3659 | self.radacHeaderObj.nbeams = self.nbeamcodes_fromfile |
|
|||
| 3660 | self.radacHeaderObj.npulses = self.npulsesint_fromfile |
|
|||
| 3661 | self.radacHeaderObj.nsamples = self.ngates_fromfile |
|
|||
| 3662 |
|
||||
| 3663 | #get tuning frequency |
|
|||
| 3664 | frequency_h5file_dataset = self.amisrFilePointer.get('Rx'+'/TuningFrequency') |
|
|||
| 3665 | self.frequency_h5file = frequency_h5file_dataset[0,0] |
|
|||
| 3666 |
|
||||
| 3667 | self.flagIsNewFile = 1 |
|
|||
| 3668 |
|
||||
| 3669 | def __getBeamCode(self): |
|
|||
| 3670 | self.beamCodeDict = {} |
|
|||
| 3671 | self.beamRangeDict = {} |
|
|||
| 3672 |
|
||||
| 3673 | for i in range(len(self.radacHeaderObj.beamCode[0,:])): |
|
|||
| 3674 | self.beamCodeDict.setdefault(i) |
|
|||
| 3675 | self.beamRangeDict.setdefault(i) |
|
|||
| 3676 | self.beamCodeDict[i] = self.radacHeaderObj.beamCode[0,i] |
|
|||
| 3677 |
|
||||
| 3678 |
|
||||
| 3679 | just4record0 = self.radacHeaderObj.beamCodeByPulse[0,:] |
|
|||
| 3680 |
|
||||
| 3681 | for i in range(len(self.beamCodeDict.values())): |
|
|||
| 3682 | xx = numpy.where(just4record0==self.beamCodeDict.values()[i]) |
|
|||
| 3683 | self.beamRangeDict[i] = xx[0] |
|
|||
| 3684 |
|
||||
| 3685 | def __getExpParameters(self): |
|
|||
| 3686 | if not(self.status): |
|
|||
| 3687 | return None |
|
|||
| 3688 |
|
||||
| 3689 | experimentCfgPath = os.path.join(self.path, self.dirnameList[0], 'Setup') |
|
|||
| 3690 |
|
||||
| 3691 | expFinder = glob.glob1(experimentCfgPath,'*.exp') |
|
|||
| 3692 | if len(expFinder)== 0: |
|
|||
| 3693 | self.status = 0 |
|
|||
| 3694 | return None |
|
|||
| 3695 |
|
||||
| 3696 | experimentFilename = os.path.join(experimentCfgPath,expFinder[0]) |
|
|||
| 3697 |
|
||||
| 3698 | f = open(experimentFilename) |
|
|||
| 3699 | lines = f.readlines() |
|
|||
| 3700 | f.close() |
|
|||
| 3701 |
|
||||
| 3702 | parmsList = ['npulsesint*','recordsperfile*','nbeamcodes*','ngates*'] |
|
|||
| 3703 | filterList = [fnmatch.filter(lines, x) for x in parmsList] |
|
|||
| 3704 |
|
||||
| 3705 |
|
||||
| 3706 | values = [re.sub(r'\D',"",x[0]) for x in filterList] |
|
|||
| 3707 |
|
||||
| 3708 | self.npulsesint_fromfile = int(values[0]) |
|
|||
| 3709 | self.recordsperfile_fromfile = int(values[1]) |
|
|||
| 3710 | self.nbeamcodes_fromfile = int(values[2]) |
|
|||
| 3711 | self.ngates_fromfile = int(values[3]) |
|
|||
| 3712 |
|
||||
| 3713 | tufileFinder = fnmatch.filter(lines, 'tufile=*') |
|
|||
| 3714 | tufile = tufileFinder[0].split('=')[1].split('\n')[0] |
|
|||
| 3715 | tufilename = os.path.join(experimentCfgPath,tufile) |
|
|||
| 3716 |
|
||||
| 3717 | f = open(tufilename) |
|
|||
| 3718 | lines = f.readlines() |
|
|||
| 3719 | f.close() |
|
|||
| 3720 | self.ippSeconds_fromfile = float(lines[1].split()[2])/1E6 |
|
|||
| 3721 |
|
||||
| 3722 |
|
||||
| 3723 | self.status = 1 |
|
|||
| 3724 |
|
||||
| 3725 | def __setIdsAndArrays(self): |
|
|||
| 3726 | self.dataByFrame = self.__setDataByFrame() |
|
|||
| 3727 | self.beamCodeByFrame = self.amisrFilePointer.get('Raw11/Data/RadacHeader/BeamCode').value[0, :] |
|
|||
| 3728 | self.readRanges() |
|
|||
| 3729 | self.idpulse_range1, self.idpulse_range2 = self.radacHeaderObj.getIndexRangeToPulse(0) |
|
|||
| 3730 | self.radacTimeByFrame = numpy.zeros(self.radacHeaderObj.npulses) |
|
|||
| 3731 | self.buffer_radactime = numpy.zeros_like(self.radacTimeByFrame) |
|
|||
| 3732 |
|
||||
| 3733 |
|
||||
| 3734 | def __setNextFile(self): |
|
|||
| 3735 |
|
||||
| 3736 | newFile = self.__setNextFileOffline() |
|
|||
| 3737 |
|
||||
| 3738 | if not(newFile): |
|
|||
| 3739 | return 0 |
|
|||
| 3740 |
|
||||
| 3741 | self.__readHeader() |
|
|||
| 3742 |
|
||||
| 3743 | if self.__firstFile: |
|
|||
| 3744 | self.__setIdsAndArrays() |
|
|||
| 3745 | self.__firstFile = False |
|
|||
| 3746 |
|
||||
| 3747 | self.__getBeamCode() |
|
|||
| 3748 | self.readDataBlock() |
|
|||
| 3749 |
|
||||
| 3750 |
|
||||
| 3751 | def setup(self,path=None, |
|
|||
| 3752 | startDate=None, |
|
|||
| 3753 | endDate=None, |
|
|||
| 3754 | startTime=datetime.time(0,0,0), |
|
|||
| 3755 | endTime=datetime.time(23,59,59), |
|
|||
| 3756 | walk=True): |
|
|||
| 3757 |
|
||||
| 3758 | #Busqueda de archivos offline |
|
|||
| 3759 | self.__searchFilesOffline(path, startDate, endDate, startTime, endTime, walk) |
|
|||
| 3760 |
|
||||
| 3761 | if not(self.filenameList): |
|
|||
| 3762 | print "There is no files into the folder: %s"%(path) |
|
|||
| 3763 |
|
||||
| 3764 | sys.exit(-1) |
|
|||
| 3765 |
|
||||
| 3766 | self.__getExpParameters() |
|
|||
| 3767 |
|
||||
| 3768 | self.fileIndex = -1 |
|
|||
| 3769 |
|
||||
| 3770 | self.__setNextFile() |
|
|||
| 3771 |
|
||||
| 3772 | def readRanges(self): |
|
|||
| 3773 | dataset = self.amisrFilePointer.get('Raw11/Data/Samples/Range') |
|
|||
| 3774 | #self.rangeFromFile = dataset.value |
|
|||
| 3775 | self.rangeFromFile = numpy.reshape(dataset.value,(-1)) |
|
|||
| 3776 | return range |
|
|||
| 3777 |
|
||||
| 3778 |
|
||||
| 3779 | def readRadacTime(self,idrecord, range1, range2): |
|
|||
| 3780 | self.radacTimeFromFile = self.radacHeaderObj.radacTime.value |
|
|||
| 3781 |
|
||||
| 3782 | radacTimeByFrame = numpy.zeros((self.radacHeaderObj.npulses)) |
|
|||
| 3783 | #radacTimeByFrame = dataset[idrecord - 1,range1] |
|
|||
| 3784 | #radacTimeByFrame = dataset[idrecord,range2] |
|
|||
| 3785 |
|
||||
| 3786 | return radacTimeByFrame |
|
|||
| 3787 |
|
||||
| 3788 | def readBeamCode(self, idrecord, range1, range2): |
|
|||
| 3789 | dataset = self.amisrFilePointer.get('Raw11/Data/RadacHeader/BeamCode') |
|
|||
| 3790 | beamcodeByFrame = numpy.zeros((self.radacHeaderObj.npulses)) |
|
|||
| 3791 | self.beamCodesFromFile = dataset.value |
|
|||
| 3792 |
|
||||
| 3793 | #beamcodeByFrame[range1] = dataset[idrecord - 1, range1] |
|
|||
| 3794 | #beamcodeByFrame[range2] = dataset[idrecord, range2] |
|
|||
| 3795 | beamcodeByFrame[range1] = dataset[idrecord, range1] |
|
|||
| 3796 | beamcodeByFrame[range2] = dataset[idrecord, range2] |
|
|||
| 3797 |
|
||||
| 3798 | return beamcodeByFrame |
|
|||
| 3799 |
|
||||
| 3800 |
|
||||
| 3801 | def __setDataByFrame(self): |
|
|||
| 3802 | ndata = 2 # porque es complejo |
|
|||
| 3803 | dataByFrame = numpy.zeros((self.radacHeaderObj.npulses, self.radacHeaderObj.nsamples, ndata)) |
|
|||
| 3804 | return dataByFrame |
|
|||
| 3805 |
|
||||
| 3806 | def __readDataSet(self): |
|
|||
| 3807 | dataset = self.amisrFilePointer.get('Raw11/Data/Samples/Data') |
|
|||
| 3808 | return dataset |
|
|||
| 3809 |
|
||||
| 3810 | def __setDataBlock(self,): |
|
|||
| 3811 | real = self.dataByFrame[:,:,0] #asumo que 0 es real |
|
|||
| 3812 | imag = self.dataByFrame[:,:,1] #asumo que 1 es imaginario |
|
|||
| 3813 | datablock = real + imag*1j #armo el complejo |
|
|||
| 3814 | return datablock |
|
|||
| 3815 |
|
||||
| 3816 | def readSamples_version1(self,idrecord): |
|
|||
| 3817 | #estas tres primeras lineas solo se deben ejecutar una vez |
|
|||
| 3818 | if self.flagIsNewFile: |
|
|||
| 3819 | #reading dataset |
|
|||
| 3820 | self.dataset = self.__readDataSet() |
|
|||
| 3821 | self.flagIsNewFile = 0 |
|
|||
| 3822 |
|
||||
| 3823 | if idrecord == 0: |
|
|||
| 3824 | #if self.buffer_last_record == None: |
|
|||
| 3825 | selectorById = self.radacHeaderObj.pulseCount[0,self.idpulse_range2] |
|
|||
| 3826 |
|
||||
| 3827 | self.dataByFrame[selectorById,:,:] = self.dataset[0, self.idpulse_range2,:,:] |
|
|||
| 3828 |
|
||||
| 3829 | self.radacTimeByFrame[selectorById] = self.radacHeaderObj.radacTime[0, self.idpulse_range2] |
|
|||
| 3830 |
|
||||
| 3831 | selectorById = self.radacHeaderObj.pulseCount[0,self.idpulse_range1] |
|
|||
| 3832 |
|
||||
| 3833 | self.radacTimeByFrame[selectorById] = self.buffer_radactime[selectorById] |
|
|||
| 3834 |
|
||||
| 3835 | datablock = self.__setDataBlock() |
|
|||
| 3836 |
|
||||
| 3837 | return datablock |
|
|||
| 3838 |
|
||||
| 3839 | selectorById = self.radacHeaderObj.pulseCount[idrecord-1,self.idpulse_range1] |
|
|||
| 3840 | self.dataByFrame[selectorById,:,:] = self.dataset[idrecord-1, self.idpulse_range1, :, :] |
|
|||
| 3841 | self.radacTimeByFrame[selectorById] = self.radacHeaderObj.radacTime[idrecord-1, self.idpulse_range1] |
|
|||
| 3842 |
|
||||
| 3843 | 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 |
|
|||
| 3844 | self.dataByFrame[selectorById,:,:] = self.dataset[idrecord, self.idpulse_range2, :, :] |
|
|||
| 3845 | self.radacTimeByFrame[selectorById] = self.radacHeaderObj.radacTime[idrecord, self.idpulse_range2] |
|
|||
| 3846 |
|
||||
| 3847 | datablock = self.__setDataBlock() |
|
|||
| 3848 |
|
||||
| 3849 | selectorById = self.radacHeaderObj.pulseCount[idrecord,self.idpulse_range1] |
|
|||
| 3850 | self.dataByFrame[selectorById,:,:] = self.dataset[idrecord, self.idpulse_range1, :, :] |
|
|||
| 3851 | self.buffer_radactime[selectorById] = self.radacHeaderObj.radacTime[idrecord, self.idpulse_range1] |
|
|||
| 3852 |
|
||||
| 3853 | return datablock |
|
|||
| 3854 |
|
||||
| 3855 |
|
||||
| 3856 | def readSamples(self,idrecord): |
|
|||
| 3857 | if self.flagIsNewFile: |
|
|||
| 3858 | self.dataByFrame = self.__setDataByFrame() |
|
|||
| 3859 | self.beamCodeByFrame = self.amisrFilePointer.get('Raw11/Data/RadacHeader/BeamCode').value[idrecord, :] |
|
|||
| 3860 |
|
||||
| 3861 | #reading ranges |
|
|||
| 3862 | self.readRanges() |
|
|||
| 3863 | #reading dataset |
|
|||
| 3864 | self.dataset = self.__readDataSet() |
|
|||
| 3865 |
|
||||
| 3866 | self.flagIsNewFile = 0 |
|
|||
| 3867 | self.radacTimeByFrame = self.radacHeaderObj.radacTime.value[idrecord, :] |
|
|||
| 3868 | self.dataByFrame = self.dataset[idrecord, :, :, :] |
|
|||
| 3869 | datablock = self.__setDataBlock() |
|
|||
| 3870 | return datablock |
|
|||
| 3871 |
|
||||
| 3872 |
|
||||
| 3873 | def readDataBlock(self): |
|
|||
| 3874 |
|
||||
| 3875 | self.datablock = self.readSamples_version1(self.idrecord_count) |
|
|||
| 3876 | #self.datablock = self.readSamples(self.idrecord_count) |
|
|||
| 3877 | #print 'record:', self.idrecord_count |
|
|||
| 3878 |
|
||||
| 3879 | self.idrecord_count += 1 |
|
|||
| 3880 | self.profileIndex = 0 |
|
|||
| 3881 |
|
||||
| 3882 | if self.idrecord_count >= self.radacHeaderObj.nrecords: |
|
|||
| 3883 | self.idrecord_count = 0 |
|
|||
| 3884 | self.flagIsNewFile = 1 |
|
|||
| 3885 |
|
||||
| 3886 | def readNextBlock(self): |
|
|||
| 3887 |
|
||||
| 3888 | self.readDataBlock() |
|
|||
| 3889 |
|
||||
| 3890 | if self.flagIsNewFile: |
|
|||
| 3891 | self.__setNextFile() |
|
|||
| 3892 | pass |
|
|||
| 3893 |
|
||||
| 3894 | def __hasNotDataInBuffer(self): |
|
|||
| 3895 | #self.radacHeaderObj.npulses debe ser otra variable para considerar el numero de pulsos a tomar en el primer y ultimo record |
|
|||
| 3896 | if self.profileIndex >= self.radacHeaderObj.npulses: |
|
|||
| 3897 | return 1 |
|
|||
| 3898 | return 0 |
|
|||
| 3899 |
|
||||
| 3900 | def printUTC(self): |
|
|||
| 3901 | print self.dataOut.utctime |
|
|||
| 3902 | print '' |
|
|||
| 3903 |
|
||||
| 3904 | def setObjProperties(self): |
|
|||
| 3905 | self.dataOut.heightList = self.rangeFromFile/1000.0 #km |
|
|||
| 3906 | self.dataOut.nProfiles = self.radacHeaderObj.npulses |
|
|||
| 3907 | self.dataOut.nRecords = self.radacHeaderObj.nrecords |
|
|||
| 3908 | self.dataOut.nBeams = self.radacHeaderObj.nbeams |
|
|||
| 3909 | self.dataOut.ippSeconds = self.ippSeconds_fromfile |
|
|||
| 3910 | self.dataOut.timeInterval = self.dataOut.ippSeconds * self.dataOut.nCohInt |
|
|||
| 3911 | self.dataOut.frequency = self.frequency_h5file |
|
|||
| 3912 | self.dataOut.nBaud = None |
|
|||
| 3913 | self.dataOut.nCode = None |
|
|||
| 3914 | self.dataOut.code = None |
|
|||
| 3915 |
|
||||
| 3916 | self.dataOut.beamCodeDict = self.beamCodeDict |
|
|||
| 3917 | self.dataOut.beamRangeDict = self.beamRangeDict |
|
|||
| 3918 |
|
||||
| 3919 | def getData(self): |
|
|||
| 3920 |
|
||||
| 3921 | if self.flagNoMoreFiles: |
|
|||
| 3922 | self.dataOut.flagNoData = True |
|
|||
| 3923 | print 'Process finished' |
|
|||
| 3924 | return 0 |
|
|||
| 3925 |
|
||||
| 3926 | if self.__hasNotDataInBuffer(): |
|
|||
| 3927 | self.readNextBlock() |
|
|||
| 3928 |
|
||||
| 3929 |
|
||||
| 3930 | if self.datablock == None: # setear esta condicion cuando no hayan datos por leers |
|
|||
| 3931 | self.dataOut.flagNoData = True |
|
|||
| 3932 | return 0 |
|
|||
| 3933 |
|
||||
| 3934 | self.dataOut.data = numpy.reshape(self.datablock[self.profileIndex,:],(1,-1)) |
|
|||
| 3935 |
|
||||
| 3936 | self.dataOut.utctime = self.radacTimeByFrame[self.profileIndex] |
|
|||
| 3937 |
|
||||
| 3938 | self.dataOut.flagNoData = False |
|
|||
| 3939 |
|
||||
| 3940 | self.profileIndex += 1 |
|
|||
| 3941 |
|
||||
| 3942 | return self.dataOut.data |
|
|||
| 3943 |
|
||||
| 3944 |
|
||||
| 3945 | def run(self, **kwargs): |
|
|||
| 3946 | if not(self.isConfig): |
|
|||
| 3947 | self.setup(**kwargs) |
|
|||
| 3948 | self.setObjProperties() |
|
|||
| 3949 | self.isConfig = True |
|
|||
| 3950 |
|
||||
| 3951 | self.getData() |
|
|||
| This diff has been collapsed as it changes many lines, (569 lines changed) Show them Hide them | |||||
| @@ -1,569 +0,0 | |||||
| 1 | ''' |
|
|||
| 2 |
|
||||
| 3 | $Author: murco $ |
|
|||
| 4 | $Id: JROHeaderIO.py 151 2012-10-31 19:00:51Z murco $ |
|
|||
| 5 | ''' |
|
|||
| 6 | import sys |
|
|||
| 7 | import numpy |
|
|||
| 8 | import copy |
|
|||
| 9 | import datetime |
|
|||
| 10 |
|
||||
| 11 | class Header: |
|
|||
| 12 |
|
||||
| 13 | def __init__(self): |
|
|||
| 14 | raise |
|
|||
| 15 |
|
||||
| 16 | def copy(self): |
|
|||
| 17 | return copy.deepcopy(self) |
|
|||
| 18 |
|
||||
| 19 | def read(): |
|
|||
| 20 | pass |
|
|||
| 21 |
|
||||
| 22 | def write(): |
|
|||
| 23 | pass |
|
|||
| 24 |
|
||||
| 25 | def printInfo(self): |
|
|||
| 26 |
|
||||
| 27 | print "#"*100 |
|
|||
| 28 | print self.__class__.__name__.upper() |
|
|||
| 29 | print "#"*100 |
|
|||
| 30 | for key in self.__dict__.keys(): |
|
|||
| 31 | print "%s = %s" %(key, self.__dict__[key]) |
|
|||
| 32 |
|
||||
| 33 | class BasicHeader(Header): |
|
|||
| 34 |
|
||||
| 35 | size = None |
|
|||
| 36 | version = None |
|
|||
| 37 | dataBlock = None |
|
|||
| 38 | utc = None |
|
|||
| 39 | ltc = None |
|
|||
| 40 | miliSecond = None |
|
|||
| 41 | timeZone = None |
|
|||
| 42 | dstFlag = None |
|
|||
| 43 | errorCount = None |
|
|||
| 44 | struct = None |
|
|||
| 45 | datatime = None |
|
|||
| 46 |
|
||||
| 47 | __LOCALTIME = None |
|
|||
| 48 |
|
||||
| 49 | def __init__(self, useLocalTime=True): |
|
|||
| 50 |
|
||||
| 51 | self.size = 0 |
|
|||
| 52 | self.version = 0 |
|
|||
| 53 | self.dataBlock = 0 |
|
|||
| 54 | self.utc = 0 |
|
|||
| 55 | self.miliSecond = 0 |
|
|||
| 56 | self.timeZone = 0 |
|
|||
| 57 | self.dstFlag = 0 |
|
|||
| 58 | self.errorCount = 0 |
|
|||
| 59 | self.struct = numpy.dtype([ |
|
|||
| 60 | ('nSize','<u4'), |
|
|||
| 61 | ('nVersion','<u2'), |
|
|||
| 62 | ('nDataBlockId','<u4'), |
|
|||
| 63 | ('nUtime','<u4'), |
|
|||
| 64 | ('nMilsec','<u2'), |
|
|||
| 65 | ('nTimezone','<i2'), |
|
|||
| 66 | ('nDstflag','<i2'), |
|
|||
| 67 | ('nErrorCount','<u4') |
|
|||
| 68 | ]) |
|
|||
| 69 |
|
||||
| 70 | self.useLocalTime = useLocalTime |
|
|||
| 71 |
|
||||
| 72 | def read(self, fp): |
|
|||
| 73 | try: |
|
|||
| 74 | header = numpy.fromfile(fp, self.struct,1) |
|
|||
| 75 | self.size = int(header['nSize'][0]) |
|
|||
| 76 | self.version = int(header['nVersion'][0]) |
|
|||
| 77 | self.dataBlock = int(header['nDataBlockId'][0]) |
|
|||
| 78 | self.utc = int(header['nUtime'][0]) |
|
|||
| 79 | self.miliSecond = int(header['nMilsec'][0]) |
|
|||
| 80 | self.timeZone = int(header['nTimezone'][0]) |
|
|||
| 81 | self.dstFlag = int(header['nDstflag'][0]) |
|
|||
| 82 | self.errorCount = int(header['nErrorCount'][0]) |
|
|||
| 83 |
|
||||
| 84 | self.ltc = self.utc |
|
|||
| 85 |
|
||||
| 86 | if self.useLocalTime: |
|
|||
| 87 | self.ltc -= self.timeZone*60 |
|
|||
| 88 |
|
||||
| 89 | self.datatime = datetime.datetime.utcfromtimestamp(self.ltc) |
|
|||
| 90 |
|
||||
| 91 | except Exception, e: |
|
|||
| 92 | print "BasicHeader: " |
|
|||
| 93 | print e |
|
|||
| 94 | return 0 |
|
|||
| 95 |
|
||||
| 96 | return 1 |
|
|||
| 97 |
|
||||
| 98 | def write(self, fp): |
|
|||
| 99 |
|
||||
| 100 | headerTuple = (self.size,self.version,self.dataBlock,self.utc,self.miliSecond,self.timeZone,self.dstFlag,self.errorCount) |
|
|||
| 101 | header = numpy.array(headerTuple,self.struct) |
|
|||
| 102 | header.tofile(fp) |
|
|||
| 103 |
|
||||
| 104 | return 1 |
|
|||
| 105 |
|
||||
| 106 | class SystemHeader(Header): |
|
|||
| 107 |
|
||||
| 108 | size = None |
|
|||
| 109 | nSamples = None |
|
|||
| 110 | nProfiles = None |
|
|||
| 111 | nChannels = None |
|
|||
| 112 | adcResolution = None |
|
|||
| 113 | pciDioBusWidth = None |
|
|||
| 114 | struct = None |
|
|||
| 115 |
|
||||
| 116 | def __init__(self): |
|
|||
| 117 | self.size = 0 |
|
|||
| 118 | self.nSamples = 0 |
|
|||
| 119 | self.nProfiles = 0 |
|
|||
| 120 | self.nChannels = 0 |
|
|||
| 121 | self.adcResolution = 0 |
|
|||
| 122 | self.pciDioBusWidth = 0 |
|
|||
| 123 | self.struct = numpy.dtype([ |
|
|||
| 124 | ('nSize','<u4'), |
|
|||
| 125 | ('nNumSamples','<u4'), |
|
|||
| 126 | ('nNumProfiles','<u4'), |
|
|||
| 127 | ('nNumChannels','<u4'), |
|
|||
| 128 | ('nADCResolution','<u4'), |
|
|||
| 129 | ('nPCDIOBusWidth','<u4'), |
|
|||
| 130 | ]) |
|
|||
| 131 |
|
||||
| 132 |
|
||||
| 133 | def read(self, fp): |
|
|||
| 134 | try: |
|
|||
| 135 | header = numpy.fromfile(fp,self.struct,1) |
|
|||
| 136 | self.size = header['nSize'][0] |
|
|||
| 137 | self.nSamples = header['nNumSamples'][0] |
|
|||
| 138 | self.nProfiles = header['nNumProfiles'][0] |
|
|||
| 139 | self.nChannels = header['nNumChannels'][0] |
|
|||
| 140 | self.adcResolution = header['nADCResolution'][0] |
|
|||
| 141 | self.pciDioBusWidth = header['nPCDIOBusWidth'][0] |
|
|||
| 142 |
|
||||
| 143 | except Exception, e: |
|
|||
| 144 | print "SystemHeader: " + e |
|
|||
| 145 | return 0 |
|
|||
| 146 |
|
||||
| 147 | return 1 |
|
|||
| 148 |
|
||||
| 149 | def write(self, fp): |
|
|||
| 150 | headerTuple = (self.size,self.nSamples,self.nProfiles,self.nChannels,self.adcResolution,self.pciDioBusWidth) |
|
|||
| 151 | header = numpy.array(headerTuple,self.struct) |
|
|||
| 152 | header.tofile(fp) |
|
|||
| 153 |
|
||||
| 154 | return 1 |
|
|||
| 155 |
|
||||
| 156 | class RadarControllerHeader(Header): |
|
|||
| 157 |
|
||||
| 158 | size = None |
|
|||
| 159 | expType = None |
|
|||
| 160 | nTx = None |
|
|||
| 161 | ipp = None |
|
|||
| 162 | txA = None |
|
|||
| 163 | txB = None |
|
|||
| 164 | nWindows = None |
|
|||
| 165 | numTaus = None |
|
|||
| 166 | codeType = None |
|
|||
| 167 | line6Function = None |
|
|||
| 168 | line5Function = None |
|
|||
| 169 | fClock = None |
|
|||
| 170 | prePulseBefore = None |
|
|||
| 171 | prePulserAfter = None |
|
|||
| 172 | rangeIpp = None |
|
|||
| 173 | rangeTxA = None |
|
|||
| 174 | rangeTxB = None |
|
|||
| 175 | struct = None |
|
|||
| 176 |
|
||||
| 177 | def __init__(self): |
|
|||
| 178 | self.size = 0 |
|
|||
| 179 | self.expType = 0 |
|
|||
| 180 | self.nTx = 0 |
|
|||
| 181 | self.ipp = 0 |
|
|||
| 182 | self.txA = 0 |
|
|||
| 183 | self.txB = 0 |
|
|||
| 184 | self.nWindows = 0 |
|
|||
| 185 | self.numTaus = 0 |
|
|||
| 186 | self.codeType = 0 |
|
|||
| 187 | self.line6Function = 0 |
|
|||
| 188 | self.line5Function = 0 |
|
|||
| 189 | self.fClock = 0 |
|
|||
| 190 | self.prePulseBefore = 0 |
|
|||
| 191 | self.prePulserAfter = 0 |
|
|||
| 192 | self.rangeIpp = 0 |
|
|||
| 193 | self.rangeTxA = 0 |
|
|||
| 194 | self.rangeTxB = 0 |
|
|||
| 195 | self.struct = numpy.dtype([ |
|
|||
| 196 | ('nSize','<u4'), |
|
|||
| 197 | ('nExpType','<u4'), |
|
|||
| 198 | ('nNTx','<u4'), |
|
|||
| 199 | ('fIpp','<f4'), |
|
|||
| 200 | ('fTxA','<f4'), |
|
|||
| 201 | ('fTxB','<f4'), |
|
|||
| 202 | ('nNumWindows','<u4'), |
|
|||
| 203 | ('nNumTaus','<u4'), |
|
|||
| 204 | ('nCodeType','<u4'), |
|
|||
| 205 | ('nLine6Function','<u4'), |
|
|||
| 206 | ('nLine5Function','<u4'), |
|
|||
| 207 | ('fClock','<f4'), |
|
|||
| 208 | ('nPrePulseBefore','<u4'), |
|
|||
| 209 | ('nPrePulseAfter','<u4'), |
|
|||
| 210 | ('sRangeIPP','<a20'), |
|
|||
| 211 | ('sRangeTxA','<a20'), |
|
|||
| 212 | ('sRangeTxB','<a20'), |
|
|||
| 213 | ]) |
|
|||
| 214 |
|
||||
| 215 | self.samplingWindowStruct = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')]) |
|
|||
| 216 |
|
||||
| 217 | self.samplingWindow = None |
|
|||
| 218 | self.nHeights = None |
|
|||
| 219 | self.firstHeight = None |
|
|||
| 220 | self.deltaHeight = None |
|
|||
| 221 | self.samplesWin = None |
|
|||
| 222 |
|
||||
| 223 | self.nCode = None |
|
|||
| 224 | self.nBaud = None |
|
|||
| 225 | self.code = None |
|
|||
| 226 | self.flip1 = None |
|
|||
| 227 | self.flip2 = None |
|
|||
| 228 |
|
||||
| 229 | self.dynamic = numpy.array([],numpy.dtype('byte')) |
|
|||
| 230 |
|
||||
| 231 |
|
||||
| 232 | def read(self, fp): |
|
|||
| 233 | try: |
|
|||
| 234 | startFp = fp.tell() |
|
|||
| 235 | header = numpy.fromfile(fp,self.struct,1) |
|
|||
| 236 | self.size = int(header['nSize'][0]) |
|
|||
| 237 | self.expType = int(header['nExpType'][0]) |
|
|||
| 238 | self.nTx = int(header['nNTx'][0]) |
|
|||
| 239 | self.ipp = float(header['fIpp'][0]) |
|
|||
| 240 | self.txA = float(header['fTxA'][0]) |
|
|||
| 241 | self.txB = float(header['fTxB'][0]) |
|
|||
| 242 | self.nWindows = int(header['nNumWindows'][0]) |
|
|||
| 243 | self.numTaus = int(header['nNumTaus'][0]) |
|
|||
| 244 | self.codeType = int(header['nCodeType'][0]) |
|
|||
| 245 | self.line6Function = int(header['nLine6Function'][0]) |
|
|||
| 246 | self.line5Function = int(header['nLine5Function'][0]) |
|
|||
| 247 | self.fClock = float(header['fClock'][0]) |
|
|||
| 248 | self.prePulseBefore = int(header['nPrePulseBefore'][0]) |
|
|||
| 249 | self.prePulserAfter = int(header['nPrePulseAfter'][0]) |
|
|||
| 250 | self.rangeIpp = header['sRangeIPP'][0] |
|
|||
| 251 | self.rangeTxA = header['sRangeTxA'][0] |
|
|||
| 252 | self.rangeTxB = header['sRangeTxB'][0] |
|
|||
| 253 | # jump Dynamic Radar Controller Header |
|
|||
| 254 | jumpFp = self.size - 116 |
|
|||
| 255 | self.dynamic = numpy.fromfile(fp,numpy.dtype('byte'),jumpFp) |
|
|||
| 256 | #pointer backward to dynamic header and read |
|
|||
| 257 | backFp = fp.tell() - jumpFp |
|
|||
| 258 | fp.seek(backFp) |
|
|||
| 259 |
|
||||
| 260 | self.samplingWindow = numpy.fromfile(fp,self.samplingWindowStruct,self.nWindows) |
|
|||
| 261 | self.nHeights = int(numpy.sum(self.samplingWindow['nsa'])) |
|
|||
| 262 | self.firstHeight = self.samplingWindow['h0'] |
|
|||
| 263 | self.deltaHeight = self.samplingWindow['dh'] |
|
|||
| 264 | self.samplesWin = self.samplingWindow['nsa'] |
|
|||
| 265 |
|
||||
| 266 | self.Taus = numpy.fromfile(fp,'<f4',self.numTaus) |
|
|||
| 267 |
|
||||
| 268 | if self.codeType != 0: |
|
|||
| 269 | self.nCode = int(numpy.fromfile(fp,'<u4',1)) |
|
|||
| 270 | self.nBaud = int(numpy.fromfile(fp,'<u4',1)) |
|
|||
| 271 | self.code = numpy.empty([self.nCode,self.nBaud],dtype='u1') |
|
|||
| 272 |
|
||||
| 273 | for ic in range(self.nCode): |
|
|||
| 274 | temp = numpy.fromfile(fp,'u4',int(numpy.ceil(self.nBaud/32.))) |
|
|||
| 275 | for ib in range(self.nBaud-1,-1,-1): |
|
|||
| 276 | self.code[ic,ib] = temp[ib/32]%2 |
|
|||
| 277 | temp[ib/32] = temp[ib/32]/2 |
|
|||
| 278 | self.code = 2.0*self.code - 1.0 |
|
|||
| 279 | self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4 |
|
|||
| 280 |
|
||||
| 281 | if self.line5Function == RCfunction.FLIP: |
|
|||
| 282 | self.flip1 = numpy.fromfile(fp,'<u4',1) |
|
|||
| 283 |
|
||||
| 284 | if self.line6Function == RCfunction.FLIP: |
|
|||
| 285 | self.flip2 = numpy.fromfile(fp,'<u4',1) |
|
|||
| 286 |
|
||||
| 287 | endFp = self.size + startFp |
|
|||
| 288 | jumpFp = endFp - fp.tell() |
|
|||
| 289 | if jumpFp > 0: |
|
|||
| 290 | fp.seek(jumpFp) |
|
|||
| 291 |
|
||||
| 292 | except Exception, e: |
|
|||
| 293 | print "RadarControllerHeader: " + e |
|
|||
| 294 | return 0 |
|
|||
| 295 |
|
||||
| 296 | return 1 |
|
|||
| 297 |
|
||||
| 298 | def write(self, fp): |
|
|||
| 299 | headerTuple = (self.size, |
|
|||
| 300 | self.expType, |
|
|||
| 301 | self.nTx, |
|
|||
| 302 | self.ipp, |
|
|||
| 303 | self.txA, |
|
|||
| 304 | self.txB, |
|
|||
| 305 | self.nWindows, |
|
|||
| 306 | self.numTaus, |
|
|||
| 307 | self.codeType, |
|
|||
| 308 | self.line6Function, |
|
|||
| 309 | self.line5Function, |
|
|||
| 310 | self.fClock, |
|
|||
| 311 | self.prePulseBefore, |
|
|||
| 312 | self.prePulserAfter, |
|
|||
| 313 | self.rangeIpp, |
|
|||
| 314 | self.rangeTxA, |
|
|||
| 315 | self.rangeTxB) |
|
|||
| 316 |
|
||||
| 317 | header = numpy.array(headerTuple,self.struct) |
|
|||
| 318 | header.tofile(fp) |
|
|||
| 319 |
|
||||
| 320 | #dynamic = self.dynamic |
|
|||
| 321 | #dynamic.tofile(fp) |
|
|||
| 322 |
|
||||
| 323 | samplingWindow = self.samplingWindow |
|
|||
| 324 | samplingWindow.tofile(fp) |
|
|||
| 325 |
|
||||
| 326 | if self.numTaus > 0: |
|
|||
| 327 | self.Taus.tofile(fp) |
|
|||
| 328 |
|
||||
| 329 | nCode = numpy.array(self.nCode, '<u4') |
|
|||
| 330 | nCode.tofile(fp) |
|
|||
| 331 | nBaud = numpy.array(self.nBaud, '<u4') |
|
|||
| 332 | nBaud.tofile(fp) |
|
|||
| 333 | code1 = (self.code + 1.0)/2. |
|
|||
| 334 |
|
||||
| 335 | for ic in range(self.nCode): |
|
|||
| 336 | tempx = numpy.zeros(numpy.ceil(self.nBaud/32.)) |
|
|||
| 337 | start = 0 |
|
|||
| 338 | end = 32 |
|
|||
| 339 | for i in range(len(tempx)): |
|
|||
| 340 | code_selected = code1[ic,start:end] |
|
|||
| 341 | for j in range(len(code_selected)-1,-1,-1): |
|
|||
| 342 | if code_selected[j] == 1: |
|
|||
| 343 | tempx[i] = tempx[i] + 2**(len(code_selected)-1-j) |
|
|||
| 344 | start = start + 32 |
|
|||
| 345 | end = end + 32 |
|
|||
| 346 |
|
||||
| 347 | tempx = tempx.astype('u4') |
|
|||
| 348 | tempx.tofile(fp) |
|
|||
| 349 |
|
||||
| 350 | if self.line5Function == RCfunction.FLIP: |
|
|||
| 351 | self.flip1.tofile(fp) |
|
|||
| 352 |
|
||||
| 353 | if self.line6Function == RCfunction.FLIP: |
|
|||
| 354 | self.flip2.tofile(fp) |
|
|||
| 355 |
|
||||
| 356 | return 1 |
|
|||
| 357 |
|
||||
| 358 |
|
||||
| 359 |
|
||||
| 360 | class ProcessingHeader(Header): |
|
|||
| 361 |
|
||||
| 362 | size = None |
|
|||
| 363 | dtype = None |
|
|||
| 364 | blockSize = None |
|
|||
| 365 | profilesPerBlock = None |
|
|||
| 366 | dataBlocksPerFile = None |
|
|||
| 367 | nWindows = None |
|
|||
| 368 | processFlags = None |
|
|||
| 369 | nCohInt = None |
|
|||
| 370 | nIncohInt = None |
|
|||
| 371 | totalSpectra = None |
|
|||
| 372 | struct = None |
|
|||
| 373 | flag_dc = None |
|
|||
| 374 | flag_cspc = None |
|
|||
| 375 |
|
||||
| 376 | def __init__(self): |
|
|||
| 377 | self.size = 0 |
|
|||
| 378 | self.dtype = 0 |
|
|||
| 379 | self.blockSize = 0 |
|
|||
| 380 | self.profilesPerBlock = 0 |
|
|||
| 381 | self.dataBlocksPerFile = 0 |
|
|||
| 382 | self.nWindows = 0 |
|
|||
| 383 | self.processFlags = 0 |
|
|||
| 384 | self.nCohInt = 0 |
|
|||
| 385 | self.nIncohInt = 0 |
|
|||
| 386 | self.totalSpectra = 0 |
|
|||
| 387 | self.struct = numpy.dtype([ |
|
|||
| 388 | ('nSize','<u4'), |
|
|||
| 389 | ('nDataType','<u4'), |
|
|||
| 390 | ('nSizeOfDataBlock','<u4'), |
|
|||
| 391 | ('nProfilesperBlock','<u4'), |
|
|||
| 392 | ('nDataBlocksperFile','<u4'), |
|
|||
| 393 | ('nNumWindows','<u4'), |
|
|||
| 394 | ('nProcessFlags','<u4'), |
|
|||
| 395 | ('nCoherentIntegrations','<u4'), |
|
|||
| 396 | ('nIncoherentIntegrations','<u4'), |
|
|||
| 397 | ('nTotalSpectra','<u4') |
|
|||
| 398 | ]) |
|
|||
| 399 | self.samplingWindow = 0 |
|
|||
| 400 | self.structSamplingWindow = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')]) |
|
|||
| 401 | self.nHeights = 0 |
|
|||
| 402 | self.firstHeight = 0 |
|
|||
| 403 | self.deltaHeight = 0 |
|
|||
| 404 | self.samplesWin = 0 |
|
|||
| 405 | self.spectraComb = 0 |
|
|||
| 406 | # self.nCode = None |
|
|||
| 407 | # self.code = None |
|
|||
| 408 | # self.nBaud = None |
|
|||
| 409 | self.shif_fft = False |
|
|||
| 410 | self.flag_dc = False |
|
|||
| 411 | self.flag_cspc = False |
|
|||
| 412 |
|
||||
| 413 | def read(self, fp): |
|
|||
| 414 | # try: |
|
|||
| 415 | header = numpy.fromfile(fp,self.struct,1) |
|
|||
| 416 | self.size = int(header['nSize'][0]) |
|
|||
| 417 | self.dtype = int(header['nDataType'][0]) |
|
|||
| 418 | self.blockSize = int(header['nSizeOfDataBlock'][0]) |
|
|||
| 419 | self.profilesPerBlock = int(header['nProfilesperBlock'][0]) |
|
|||
| 420 | self.dataBlocksPerFile = int(header['nDataBlocksperFile'][0]) |
|
|||
| 421 | self.nWindows = int(header['nNumWindows'][0]) |
|
|||
| 422 | self.processFlags = header['nProcessFlags'] |
|
|||
| 423 | self.nCohInt = int(header['nCoherentIntegrations'][0]) |
|
|||
| 424 | self.nIncohInt = int(header['nIncoherentIntegrations'][0]) |
|
|||
| 425 | self.totalSpectra = int(header['nTotalSpectra'][0]) |
|
|||
| 426 | self.samplingWindow = numpy.fromfile(fp,self.structSamplingWindow,self.nWindows) |
|
|||
| 427 | self.nHeights = int(numpy.sum(self.samplingWindow['nsa'])) |
|
|||
| 428 | self.firstHeight = float(self.samplingWindow['h0'][0]) |
|
|||
| 429 | self.deltaHeight = float(self.samplingWindow['dh'][0]) |
|
|||
| 430 | self.samplesWin = self.samplingWindow['nsa'] |
|
|||
| 431 | self.spectraComb = numpy.fromfile(fp,'u1',2*self.totalSpectra) |
|
|||
| 432 |
|
||||
| 433 | # if ((self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE) == PROCFLAG.DEFINE_PROCESS_CODE): |
|
|||
| 434 | # self.nCode = int(numpy.fromfile(fp,'<u4',1)) |
|
|||
| 435 | # self.nBaud = int(numpy.fromfile(fp,'<u4',1)) |
|
|||
| 436 | # self.code = numpy.fromfile(fp,'<f4',self.nCode*self.nBaud).reshape(self.nCode,self.nBaud) |
|
|||
| 437 |
|
||||
| 438 | if ((self.processFlags & PROCFLAG.SHIFT_FFT_DATA) == PROCFLAG.SHIFT_FFT_DATA): |
|
|||
| 439 | self.shif_fft = True |
|
|||
| 440 | else: |
|
|||
| 441 | self.shif_fft = False |
|
|||
| 442 |
|
||||
| 443 | if ((self.processFlags & PROCFLAG.SAVE_CHANNELS_DC) == PROCFLAG.SAVE_CHANNELS_DC): |
|
|||
| 444 | self.flag_dc = True |
|
|||
| 445 |
|
||||
| 446 | nChannels = 0 |
|
|||
| 447 | nPairs = 0 |
|
|||
| 448 | pairList = [] |
|
|||
| 449 |
|
||||
| 450 | for i in range( 0, self.totalSpectra*2, 2 ): |
|
|||
| 451 | if self.spectraComb[i] == self.spectraComb[i+1]: |
|
|||
| 452 | nChannels = nChannels + 1 #par de canales iguales |
|
|||
| 453 | else: |
|
|||
| 454 | nPairs = nPairs + 1 #par de canales diferentes |
|
|||
| 455 | pairList.append( (self.spectraComb[i], self.spectraComb[i+1]) ) |
|
|||
| 456 |
|
||||
| 457 | self.flag_cspc = False |
|
|||
| 458 | if nPairs > 0: |
|
|||
| 459 | self.flag_cspc = True |
|
|||
| 460 |
|
||||
| 461 | # except Exception, e: |
|
|||
| 462 | # print "Error ProcessingHeader: " |
|
|||
| 463 | # return 0 |
|
|||
| 464 |
|
||||
| 465 | return 1 |
|
|||
| 466 |
|
||||
| 467 | def write(self, fp): |
|
|||
| 468 | headerTuple = (self.size, |
|
|||
| 469 | self.dtype, |
|
|||
| 470 | self.blockSize, |
|
|||
| 471 | self.profilesPerBlock, |
|
|||
| 472 | self.dataBlocksPerFile, |
|
|||
| 473 | self.nWindows, |
|
|||
| 474 | self.processFlags, |
|
|||
| 475 | self.nCohInt, |
|
|||
| 476 | self.nIncohInt, |
|
|||
| 477 | self.totalSpectra) |
|
|||
| 478 |
|
||||
| 479 | header = numpy.array(headerTuple,self.struct) |
|
|||
| 480 | header.tofile(fp) |
|
|||
| 481 |
|
||||
| 482 | if self.nWindows != 0: |
|
|||
| 483 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) |
|
|||
| 484 | samplingWindow = numpy.array(sampleWindowTuple,self.structSamplingWindow) |
|
|||
| 485 | samplingWindow.tofile(fp) |
|
|||
| 486 |
|
||||
| 487 |
|
||||
| 488 | if self.totalSpectra != 0: |
|
|||
| 489 | spectraComb = numpy.array([],numpy.dtype('u1')) |
|
|||
| 490 | spectraComb = self.spectraComb |
|
|||
| 491 | spectraComb.tofile(fp) |
|
|||
| 492 |
|
||||
| 493 | # if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
|||
| 494 | # nCode = numpy.array([self.nCode], numpy.dtype('u4')) #Probar con un dato que almacene codigo, hasta el momento no se hizo la prueba |
|
|||
| 495 | # nCode.tofile(fp) |
|
|||
| 496 | # |
|
|||
| 497 | # nBaud = numpy.array([self.nBaud], numpy.dtype('u4')) |
|
|||
| 498 | # nBaud.tofile(fp) |
|
|||
| 499 | # |
|
|||
| 500 | # code = self.code.reshape(self.nCode*self.nBaud) |
|
|||
| 501 | # code = code.astype(numpy.dtype('<f4')) |
|
|||
| 502 | # code.tofile(fp) |
|
|||
| 503 |
|
||||
| 504 | return 1 |
|
|||
| 505 |
|
||||
| 506 | class RCfunction: |
|
|||
| 507 | NONE=0 |
|
|||
| 508 | FLIP=1 |
|
|||
| 509 | CODE=2 |
|
|||
| 510 | SAMPLING=3 |
|
|||
| 511 | LIN6DIV256=4 |
|
|||
| 512 | SYNCHRO=5 |
|
|||
| 513 |
|
||||
| 514 | class nCodeType: |
|
|||
| 515 | NONE=0 |
|
|||
| 516 | USERDEFINE=1 |
|
|||
| 517 | BARKER2=2 |
|
|||
| 518 | BARKER3=3 |
|
|||
| 519 | BARKER4=4 |
|
|||
| 520 | BARKER5=5 |
|
|||
| 521 | BARKER7=6 |
|
|||
| 522 | BARKER11=7 |
|
|||
| 523 | BARKER13=8 |
|
|||
| 524 | AC128=9 |
|
|||
| 525 | COMPLEMENTARYCODE2=10 |
|
|||
| 526 | COMPLEMENTARYCODE4=11 |
|
|||
| 527 | COMPLEMENTARYCODE8=12 |
|
|||
| 528 | COMPLEMENTARYCODE16=13 |
|
|||
| 529 | COMPLEMENTARYCODE32=14 |
|
|||
| 530 | COMPLEMENTARYCODE64=15 |
|
|||
| 531 | COMPLEMENTARYCODE128=16 |
|
|||
| 532 | CODE_BINARY28=17 |
|
|||
| 533 |
|
||||
| 534 | class PROCFLAG: |
|
|||
| 535 | COHERENT_INTEGRATION = numpy.uint32(0x00000001) |
|
|||
| 536 | DECODE_DATA = numpy.uint32(0x00000002) |
|
|||
| 537 | SPECTRA_CALC = numpy.uint32(0x00000004) |
|
|||
| 538 | INCOHERENT_INTEGRATION = numpy.uint32(0x00000008) |
|
|||
| 539 | POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010) |
|
|||
| 540 | SHIFT_FFT_DATA = numpy.uint32(0x00000020) |
|
|||
| 541 |
|
||||
| 542 | DATATYPE_CHAR = numpy.uint32(0x00000040) |
|
|||
| 543 | DATATYPE_SHORT = numpy.uint32(0x00000080) |
|
|||
| 544 | DATATYPE_LONG = numpy.uint32(0x00000100) |
|
|||
| 545 | DATATYPE_INT64 = numpy.uint32(0x00000200) |
|
|||
| 546 | DATATYPE_FLOAT = numpy.uint32(0x00000400) |
|
|||
| 547 | DATATYPE_DOUBLE = numpy.uint32(0x00000800) |
|
|||
| 548 |
|
||||
| 549 | DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000) |
|
|||
| 550 | DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000) |
|
|||
| 551 | DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000) |
|
|||
| 552 |
|
||||
| 553 | SAVE_CHANNELS_DC = numpy.uint32(0x00008000) |
|
|||
| 554 | DEFLIP_DATA = numpy.uint32(0x00010000) |
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| 555 | DEFINE_PROCESS_CODE = numpy.uint32(0x00020000) |
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| 556 |
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| 557 | ACQ_SYS_NATALIA = numpy.uint32(0x00040000) |
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| 558 | ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000) |
|
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| 559 | ACQ_SYS_ADRXD = numpy.uint32(0x000C0000) |
|
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| 560 | ACQ_SYS_JULIA = numpy.uint32(0x00100000) |
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| 561 | ACQ_SYS_XXXXXX = numpy.uint32(0x00140000) |
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| 562 |
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| 563 | EXP_NAME_ESP = numpy.uint32(0x00200000) |
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| 564 | CHANNEL_NAMES_ESP = numpy.uint32(0x00400000) |
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| 565 |
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| 566 | OPERATION_MASK = numpy.uint32(0x0000003F) |
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| 567 | DATATYPE_MASK = numpy.uint32(0x00000FC0) |
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| 568 | DATAARRANGE_MASK = numpy.uint32(0x00007000) |
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| 569 | ACQ_SYS_MASK = numpy.uint32(0x001C0000) No newline at end of file |
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| This diff has been collapsed as it changes many lines, (2119 lines changed) Show them Hide them | |||||
| @@ -1,2119 +0,0 | |||||
| 1 | import numpy |
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| 2 | import time, datetime, os |
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| 3 | from graphics.figure import * |
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| 4 | def isRealtime(utcdatatime): |
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| 5 | utcnow = time.mktime(time.localtime()) |
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| 6 | delta = abs(utcnow - utcdatatime) # abs |
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| 7 | if delta >= 30.: |
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| 8 | return False |
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| 9 | return True |
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| 10 |
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| 11 | class CrossSpectraPlot(Figure): |
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| 12 |
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| 13 | __isConfig = None |
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| 14 | __nsubplots = None |
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| 15 |
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| 16 | WIDTH = None |
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| 17 | HEIGHT = None |
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| 18 | WIDTHPROF = None |
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| 19 | HEIGHTPROF = None |
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| 20 | PREFIX = 'cspc' |
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| 21 |
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| 22 | def __init__(self): |
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| 23 |
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| 24 | self.__isConfig = False |
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| 25 | self.__nsubplots = 4 |
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| 26 | self.counter_imagwr = 0 |
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| 27 | self.WIDTH = 250 |
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| 28 | self.HEIGHT = 250 |
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| 29 | self.WIDTHPROF = 0 |
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| 30 | self.HEIGHTPROF = 0 |
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| 31 |
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| 32 | self.PLOT_CODE = 1 |
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| 33 | self.FTP_WEI = None |
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| 34 | self.EXP_CODE = None |
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| 35 | self.SUB_EXP_CODE = None |
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| 36 | self.PLOT_POS = None |
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| 37 |
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| 38 | def getSubplots(self): |
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| 39 |
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| 40 | ncol = 4 |
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| 41 | nrow = self.nplots |
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| 42 |
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| 43 | return nrow, ncol |
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| 44 |
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| 45 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
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| 46 |
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| 47 | self.__showprofile = showprofile |
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| 48 | self.nplots = nplots |
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| 49 |
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| 50 | ncolspan = 1 |
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| 51 | colspan = 1 |
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| 52 |
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| 53 | self.createFigure(id = id, |
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| 54 | wintitle = wintitle, |
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| 55 | widthplot = self.WIDTH + self.WIDTHPROF, |
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| 56 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
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| 57 | show=True) |
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| 58 |
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| 59 | nrow, ncol = self.getSubplots() |
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| 60 |
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| 61 | counter = 0 |
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| 62 | for y in range(nrow): |
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| 63 | for x in range(ncol): |
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| 64 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
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| 65 |
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| 66 | counter += 1 |
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| 67 |
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| 68 | def run(self, dataOut, id, wintitle="", pairsList=None, |
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| 69 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
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| 70 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
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| 71 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
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| 72 | server=None, folder=None, username=None, password=None, |
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| 73 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
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| 74 |
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| 75 | """ |
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| 76 |
|
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| 77 | Input: |
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| 78 | dataOut : |
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| 79 | id : |
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| 80 | wintitle : |
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| 81 | channelList : |
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| 82 | showProfile : |
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| 83 | xmin : None, |
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| 84 | xmax : None, |
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| 85 | ymin : None, |
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| 86 | ymax : None, |
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| 87 | zmin : None, |
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| 88 | zmax : None |
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| 89 | """ |
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| 90 |
|
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| 91 | if pairsList == None: |
|
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| 92 | pairsIndexList = dataOut.pairsIndexList |
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| 93 | else: |
|
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| 94 | pairsIndexList = [] |
|
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| 95 | for pair in pairsList: |
|
|||
| 96 | if pair not in dataOut.pairsList: |
|
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| 97 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
|||
| 98 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|||
| 99 |
|
||||
| 100 | if pairsIndexList == []: |
|
|||
| 101 | return |
|
|||
| 102 |
|
||||
| 103 | if len(pairsIndexList) > 4: |
|
|||
| 104 | pairsIndexList = pairsIndexList[0:4] |
|
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| 105 | factor = dataOut.normFactor |
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| 106 | x = dataOut.getVelRange(1) |
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| 107 | y = dataOut.getHeiRange() |
|
|||
| 108 | z = dataOut.data_spc[:,:,:]/factor |
|
|||
| 109 | # z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
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| 110 | avg = numpy.abs(numpy.average(z, axis=1)) |
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| 111 | noise = dataOut.getNoise()/factor |
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| 112 |
|
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| 113 | zdB = 10*numpy.log10(z) |
|
|||
| 114 | avgdB = 10*numpy.log10(avg) |
|
|||
| 115 | noisedB = 10*numpy.log10(noise) |
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| 116 |
|
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| 117 |
|
||||
| 118 | #thisDatetime = dataOut.datatime |
|
|||
| 119 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
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| 120 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|||
| 121 | xlabel = "Velocity (m/s)" |
|
|||
| 122 | ylabel = "Range (Km)" |
|
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| 123 |
|
||||
| 124 | if not self.__isConfig: |
|
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| 125 |
|
||||
| 126 | nplots = len(pairsIndexList) |
|
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| 127 |
|
||||
| 128 | self.setup(id=id, |
|
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| 129 | nplots=nplots, |
|
|||
| 130 | wintitle=wintitle, |
|
|||
| 131 | showprofile=False, |
|
|||
| 132 | show=show) |
|
|||
| 133 |
|
||||
| 134 | if xmin == None: xmin = numpy.nanmin(x) |
|
|||
| 135 | if xmax == None: xmax = numpy.nanmax(x) |
|
|||
| 136 | if ymin == None: ymin = numpy.nanmin(y) |
|
|||
| 137 | if ymax == None: ymax = numpy.nanmax(y) |
|
|||
| 138 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
|||
| 139 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
|||
| 140 |
|
||||
| 141 | self.FTP_WEI = ftp_wei |
|
|||
| 142 | self.EXP_CODE = exp_code |
|
|||
| 143 | self.SUB_EXP_CODE = sub_exp_code |
|
|||
| 144 | self.PLOT_POS = plot_pos |
|
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| 145 |
|
||||
| 146 | self.__isConfig = True |
|
|||
| 147 |
|
||||
| 148 | self.setWinTitle(title) |
|
|||
| 149 |
|
||||
| 150 | for i in range(self.nplots): |
|
|||
| 151 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|||
| 152 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|||
| 153 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[pair[0]], str_datetime) |
|
|||
| 154 | zdB = 10.*numpy.log10(dataOut.data_spc[pair[0],:,:]) |
|
|||
| 155 | axes0 = self.axesList[i*self.__nsubplots] |
|
|||
| 156 | axes0.pcolor(x, y, zdB, |
|
|||
| 157 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|||
| 158 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|||
| 159 | ticksize=9, colormap=power_cmap, cblabel='') |
|
|||
| 160 |
|
||||
| 161 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[pair[1]], str_datetime) |
|
|||
| 162 | zdB = 10.*numpy.log10(dataOut.data_spc[pair[1],:,:]) |
|
|||
| 163 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
|||
| 164 | axes0.pcolor(x, y, zdB, |
|
|||
| 165 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|||
| 166 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|||
| 167 | ticksize=9, colormap=power_cmap, cblabel='') |
|
|||
| 168 |
|
||||
| 169 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:]) |
|
|||
| 170 | coherence = numpy.abs(coherenceComplex) |
|
|||
| 171 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
|||
| 172 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi |
|
|||
| 173 |
|
||||
| 174 | title = "Coherence %d%d" %(pair[0], pair[1]) |
|
|||
| 175 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
|||
| 176 | axes0.pcolor(x, y, coherence, |
|
|||
| 177 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1, |
|
|||
| 178 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|||
| 179 | ticksize=9, colormap=coherence_cmap, cblabel='') |
|
|||
| 180 |
|
||||
| 181 | title = "Phase %d%d" %(pair[0], pair[1]) |
|
|||
| 182 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
|||
| 183 | axes0.pcolor(x, y, phase, |
|
|||
| 184 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180, |
|
|||
| 185 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|||
| 186 | ticksize=9, colormap=phase_cmap, cblabel='') |
|
|||
| 187 |
|
||||
| 188 |
|
||||
| 189 |
|
||||
| 190 | self.draw() |
|
|||
| 191 |
|
||||
| 192 | if save: |
|
|||
| 193 |
|
||||
| 194 | self.counter_imagwr += 1 |
|
|||
| 195 | if (self.counter_imagwr==wr_period): |
|
|||
| 196 | if figfile == None: |
|
|||
| 197 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 198 | figfile = self.getFilename(name = str_datetime) |
|
|||
| 199 |
|
||||
| 200 | self.saveFigure(figpath, figfile) |
|
|||
| 201 |
|
||||
| 202 | if ftp: |
|
|||
| 203 | #provisionalmente envia archivos en el formato de la web en tiempo real |
|
|||
| 204 | name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS) |
|
|||
| 205 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 206 | ftp_file = os.path.join(path,'ftp','%s.png'%name) |
|
|||
| 207 | self.saveFigure(figpath, ftp_file) |
|
|||
| 208 | ftp_filename = os.path.join(figpath,ftp_file) |
|
|||
| 209 |
|
||||
| 210 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 211 | self.counter_imagwr = 0 |
|
|||
| 212 |
|
||||
| 213 | self.counter_imagwr = 0 |
|
|||
| 214 |
|
||||
| 215 | class SNRPlot(Figure): |
|
|||
| 216 |
|
||||
| 217 | __isConfig = None |
|
|||
| 218 | __nsubplots = None |
|
|||
| 219 |
|
||||
| 220 | WIDTHPROF = None |
|
|||
| 221 | HEIGHTPROF = None |
|
|||
| 222 | PREFIX = 'snr' |
|
|||
| 223 |
|
||||
| 224 | def __init__(self): |
|
|||
| 225 |
|
||||
| 226 | self.timerange = 2*60*60 |
|
|||
| 227 | self.__isConfig = False |
|
|||
| 228 | self.__nsubplots = 1 |
|
|||
| 229 |
|
||||
| 230 | self.WIDTH = 800 |
|
|||
| 231 | self.HEIGHT = 150 |
|
|||
| 232 | self.WIDTHPROF = 120 |
|
|||
| 233 | self.HEIGHTPROF = 0 |
|
|||
| 234 | self.counter_imagwr = 0 |
|
|||
| 235 |
|
||||
| 236 | self.PLOT_CODE = 0 |
|
|||
| 237 | self.FTP_WEI = None |
|
|||
| 238 | self.EXP_CODE = None |
|
|||
| 239 | self.SUB_EXP_CODE = None |
|
|||
| 240 | self.PLOT_POS = None |
|
|||
| 241 |
|
||||
| 242 | def getSubplots(self): |
|
|||
| 243 |
|
||||
| 244 | ncol = 1 |
|
|||
| 245 | nrow = self.nplots |
|
|||
| 246 |
|
||||
| 247 | return nrow, ncol |
|
|||
| 248 |
|
||||
| 249 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|||
| 250 |
|
||||
| 251 | self.__showprofile = showprofile |
|
|||
| 252 | self.nplots = nplots |
|
|||
| 253 |
|
||||
| 254 | ncolspan = 1 |
|
|||
| 255 | colspan = 1 |
|
|||
| 256 | if showprofile: |
|
|||
| 257 | ncolspan = 7 |
|
|||
| 258 | colspan = 6 |
|
|||
| 259 | self.__nsubplots = 2 |
|
|||
| 260 |
|
||||
| 261 | self.createFigure(id = id, |
|
|||
| 262 | wintitle = wintitle, |
|
|||
| 263 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|||
| 264 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|||
| 265 | show=show) |
|
|||
| 266 |
|
||||
| 267 | nrow, ncol = self.getSubplots() |
|
|||
| 268 |
|
||||
| 269 | counter = 0 |
|
|||
| 270 | for y in range(nrow): |
|
|||
| 271 | for x in range(ncol): |
|
|||
| 272 |
|
||||
| 273 | if counter >= self.nplots: |
|
|||
| 274 | break |
|
|||
| 275 |
|
||||
| 276 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|||
| 277 |
|
||||
| 278 | if showprofile: |
|
|||
| 279 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|||
| 280 |
|
||||
| 281 | counter += 1 |
|
|||
| 282 |
|
||||
| 283 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
|||
| 284 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|||
| 285 | timerange=None, |
|
|||
| 286 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|||
| 287 | server=None, folder=None, username=None, password=None, |
|
|||
| 288 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|||
| 289 |
|
||||
| 290 | """ |
|
|||
| 291 |
|
||||
| 292 | Input: |
|
|||
| 293 | dataOut : |
|
|||
| 294 | id : |
|
|||
| 295 | wintitle : |
|
|||
| 296 | channelList : |
|
|||
| 297 | showProfile : |
|
|||
| 298 | xmin : None, |
|
|||
| 299 | xmax : None, |
|
|||
| 300 | ymin : None, |
|
|||
| 301 | ymax : None, |
|
|||
| 302 | zmin : None, |
|
|||
| 303 | zmax : None |
|
|||
| 304 | """ |
|
|||
| 305 |
|
||||
| 306 | if channelList == None: |
|
|||
| 307 | channelIndexList = dataOut.channelIndexList |
|
|||
| 308 | else: |
|
|||
| 309 | channelIndexList = [] |
|
|||
| 310 | for channel in channelList: |
|
|||
| 311 | if channel not in dataOut.channelList: |
|
|||
| 312 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|||
| 313 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|||
| 314 |
|
||||
| 315 | if timerange != None: |
|
|||
| 316 | self.timerange = timerange |
|
|||
| 317 |
|
||||
| 318 | tmin = None |
|
|||
| 319 | tmax = None |
|
|||
| 320 | factor = dataOut.normFactor |
|
|||
| 321 | x = dataOut.getTimeRange() |
|
|||
| 322 | y = dataOut.getHeiRange() |
|
|||
| 323 |
|
||||
| 324 | z = dataOut.data_spc[channelIndexList,:,:]/factor |
|
|||
| 325 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|||
| 326 | avg = numpy.average(z, axis=1) |
|
|||
| 327 |
|
||||
| 328 | avgdB = 10.*numpy.log10(avg) |
|
|||
| 329 |
|
||||
| 330 | noise = dataOut.getNoise()/factor |
|
|||
| 331 | noisedB = 10.*numpy.log10(noise) |
|
|||
| 332 |
|
||||
| 333 | SNR = numpy.transpose(numpy.divide(avg.T,noise)) |
|
|||
| 334 |
|
||||
| 335 | SNR_dB = 10.*numpy.log10(SNR) |
|
|||
| 336 |
|
||||
| 337 | #SNR_dB = numpy.transpose(numpy.subtract(avgdB.T, noisedB)) |
|
|||
| 338 |
|
||||
| 339 | # thisDatetime = dataOut.datatime |
|
|||
| 340 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 341 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|||
| 342 | xlabel = "" |
|
|||
| 343 | ylabel = "Range (Km)" |
|
|||
| 344 |
|
||||
| 345 | if not self.__isConfig: |
|
|||
| 346 |
|
||||
| 347 | nplots = len(channelIndexList) |
|
|||
| 348 |
|
||||
| 349 | self.setup(id=id, |
|
|||
| 350 | nplots=nplots, |
|
|||
| 351 | wintitle=wintitle, |
|
|||
| 352 | showprofile=showprofile, |
|
|||
| 353 | show=show) |
|
|||
| 354 |
|
||||
| 355 | tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
|||
| 356 | if ymin == None: ymin = numpy.nanmin(y) |
|
|||
| 357 | if ymax == None: ymax = numpy.nanmax(y) |
|
|||
| 358 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
|||
| 359 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
|||
| 360 |
|
||||
| 361 | self.FTP_WEI = ftp_wei |
|
|||
| 362 | self.EXP_CODE = exp_code |
|
|||
| 363 | self.SUB_EXP_CODE = sub_exp_code |
|
|||
| 364 | self.PLOT_POS = plot_pos |
|
|||
| 365 |
|
||||
| 366 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 367 | self.__isConfig = True |
|
|||
| 368 |
|
||||
| 369 |
|
||||
| 370 | self.setWinTitle(title) |
|
|||
| 371 |
|
||||
| 372 | for i in range(self.nplots): |
|
|||
| 373 | title = "Channel %d: %s" %(dataOut.channelList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|||
| 374 | axes = self.axesList[i*self.__nsubplots] |
|
|||
| 375 | zdB = SNR_dB[i].reshape((1,-1)) |
|
|||
| 376 | axes.pcolorbuffer(x, y, zdB, |
|
|||
| 377 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|||
| 378 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|||
| 379 | ticksize=9, cblabel='', cbsize="1%") |
|
|||
| 380 |
|
||||
| 381 | # if self.__showprofile: |
|
|||
| 382 | # axes = self.axesList[i*self.__nsubplots +1] |
|
|||
| 383 | # axes.pline(avgdB[i], y, |
|
|||
| 384 | # xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|||
| 385 | # xlabel='dB', ylabel='', title='', |
|
|||
| 386 | # ytick_visible=False, |
|
|||
| 387 | # grid='x') |
|
|||
| 388 | # |
|
|||
| 389 | self.draw() |
|
|||
| 390 |
|
||||
| 391 | if lastone: |
|
|||
| 392 | if dataOut.blocknow >= dataOut.last_block: |
|
|||
| 393 | if figfile == None: |
|
|||
| 394 | figfile = self.getFilename(name = self.name) |
|
|||
| 395 | self.saveFigure(figpath, figfile) |
|
|||
| 396 |
|
||||
| 397 | if (save and not(lastone)): |
|
|||
| 398 |
|
||||
| 399 | self.counter_imagwr += 1 |
|
|||
| 400 | if (self.counter_imagwr==wr_period): |
|
|||
| 401 | if figfile == None: |
|
|||
| 402 | figfile = self.getFilename(name = self.name) |
|
|||
| 403 | self.saveFigure(figpath, figfile) |
|
|||
| 404 |
|
||||
| 405 | if ftp: |
|
|||
| 406 | #provisionalmente envia archivos en el formato de la web en tiempo real |
|
|||
| 407 | name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS) |
|
|||
| 408 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 409 | ftp_file = os.path.join(path,'ftp','%s.png'%name) |
|
|||
| 410 | self.saveFigure(figpath, ftp_file) |
|
|||
| 411 | ftp_filename = os.path.join(figpath,ftp_file) |
|
|||
| 412 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 413 | self.counter_imagwr = 0 |
|
|||
| 414 |
|
||||
| 415 | self.counter_imagwr = 0 |
|
|||
| 416 |
|
||||
| 417 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
|||
| 418 |
|
||||
| 419 | self.__isConfig = False |
|
|||
| 420 |
|
||||
| 421 | if lastone: |
|
|||
| 422 | if figfile == None: |
|
|||
| 423 | figfile = self.getFilename(name = self.name) |
|
|||
| 424 | self.saveFigure(figpath, figfile) |
|
|||
| 425 |
|
||||
| 426 | if ftp: |
|
|||
| 427 | #provisionalmente envia archivos en el formato de la web en tiempo real |
|
|||
| 428 | name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS) |
|
|||
| 429 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 430 | ftp_file = os.path.join(path,'ftp','%s.png'%name) |
|
|||
| 431 | self.saveFigure(figpath, ftp_file) |
|
|||
| 432 | ftp_filename = os.path.join(figpath,ftp_file) |
|
|||
| 433 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 434 |
|
||||
| 435 |
|
||||
| 436 | class RTIPlot(Figure): |
|
|||
| 437 |
|
||||
| 438 | __isConfig = None |
|
|||
| 439 | __nsubplots = None |
|
|||
| 440 |
|
||||
| 441 | WIDTHPROF = None |
|
|||
| 442 | HEIGHTPROF = None |
|
|||
| 443 | PREFIX = 'rti' |
|
|||
| 444 |
|
||||
| 445 | def __init__(self): |
|
|||
| 446 |
|
||||
| 447 | self.timerange = 2*60*60 |
|
|||
| 448 | self.__isConfig = False |
|
|||
| 449 | self.__nsubplots = 1 |
|
|||
| 450 |
|
||||
| 451 | self.WIDTH = 800 |
|
|||
| 452 | self.HEIGHT = 150 |
|
|||
| 453 | self.WIDTHPROF = 120 |
|
|||
| 454 | self.HEIGHTPROF = 0 |
|
|||
| 455 | self.counter_imagwr = 0 |
|
|||
| 456 |
|
||||
| 457 | self.PLOT_CODE = 0 |
|
|||
| 458 | self.FTP_WEI = None |
|
|||
| 459 | self.EXP_CODE = None |
|
|||
| 460 | self.SUB_EXP_CODE = None |
|
|||
| 461 | self.PLOT_POS = None |
|
|||
| 462 | self.tmin = None |
|
|||
| 463 | self.tmax = None |
|
|||
| 464 |
|
||||
| 465 | self.xmin = None |
|
|||
| 466 | self.xmax = None |
|
|||
| 467 |
|
||||
| 468 | def getSubplots(self): |
|
|||
| 469 |
|
||||
| 470 | ncol = 1 |
|
|||
| 471 | nrow = self.nplots |
|
|||
| 472 |
|
||||
| 473 | return nrow, ncol |
|
|||
| 474 |
|
||||
| 475 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|||
| 476 |
|
||||
| 477 | self.__showprofile = showprofile |
|
|||
| 478 | self.nplots = nplots |
|
|||
| 479 |
|
||||
| 480 | ncolspan = 1 |
|
|||
| 481 | colspan = 1 |
|
|||
| 482 | if showprofile: |
|
|||
| 483 | ncolspan = 7 |
|
|||
| 484 | colspan = 6 |
|
|||
| 485 | self.__nsubplots = 2 |
|
|||
| 486 |
|
||||
| 487 | self.createFigure(id = id, |
|
|||
| 488 | wintitle = wintitle, |
|
|||
| 489 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|||
| 490 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|||
| 491 | show=show) |
|
|||
| 492 |
|
||||
| 493 | nrow, ncol = self.getSubplots() |
|
|||
| 494 |
|
||||
| 495 | counter = 0 |
|
|||
| 496 | for y in range(nrow): |
|
|||
| 497 | for x in range(ncol): |
|
|||
| 498 |
|
||||
| 499 | if counter >= self.nplots: |
|
|||
| 500 | break |
|
|||
| 501 |
|
||||
| 502 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|||
| 503 |
|
||||
| 504 | if showprofile: |
|
|||
| 505 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|||
| 506 |
|
||||
| 507 | counter += 1 |
|
|||
| 508 |
|
||||
| 509 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|||
| 510 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|||
| 511 | timerange=None, |
|
|||
| 512 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|||
| 513 | server=None, folder=None, username=None, password=None, |
|
|||
| 514 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|||
| 515 |
|
||||
| 516 | """ |
|
|||
| 517 |
|
||||
| 518 | Input: |
|
|||
| 519 | dataOut : |
|
|||
| 520 | id : |
|
|||
| 521 | wintitle : |
|
|||
| 522 | channelList : |
|
|||
| 523 | showProfile : |
|
|||
| 524 | xmin : None, |
|
|||
| 525 | xmax : None, |
|
|||
| 526 | ymin : None, |
|
|||
| 527 | ymax : None, |
|
|||
| 528 | zmin : None, |
|
|||
| 529 | zmax : None |
|
|||
| 530 | """ |
|
|||
| 531 |
|
||||
| 532 | if channelList == None: |
|
|||
| 533 | channelIndexList = dataOut.channelIndexList |
|
|||
| 534 | else: |
|
|||
| 535 | channelIndexList = [] |
|
|||
| 536 | for channel in channelList: |
|
|||
| 537 | if channel not in dataOut.channelList: |
|
|||
| 538 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|||
| 539 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|||
| 540 |
|
||||
| 541 | if timerange != None: |
|
|||
| 542 | self.timerange = timerange |
|
|||
| 543 |
|
||||
| 544 | #tmin = None |
|
|||
| 545 | #tmax = None |
|
|||
| 546 | factor = dataOut.normFactor |
|
|||
| 547 | x = dataOut.getTimeRange() |
|
|||
| 548 | y = dataOut.getHeiRange() |
|
|||
| 549 |
|
||||
| 550 | z = dataOut.data_spc[channelIndexList,:,:]/factor |
|
|||
| 551 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|||
| 552 | avg = numpy.average(z, axis=1) |
|
|||
| 553 |
|
||||
| 554 | avgdB = 10.*numpy.log10(avg) |
|
|||
| 555 |
|
||||
| 556 |
|
||||
| 557 | # thisDatetime = dataOut.datatime |
|
|||
| 558 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 559 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|||
| 560 | xlabel = "" |
|
|||
| 561 | ylabel = "Range (Km)" |
|
|||
| 562 |
|
||||
| 563 | if not self.__isConfig: |
|
|||
| 564 |
|
||||
| 565 | nplots = len(channelIndexList) |
|
|||
| 566 |
|
||||
| 567 | self.setup(id=id, |
|
|||
| 568 | nplots=nplots, |
|
|||
| 569 | wintitle=wintitle, |
|
|||
| 570 | showprofile=showprofile, |
|
|||
| 571 | show=show) |
|
|||
| 572 |
|
||||
| 573 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|||
| 574 |
|
||||
| 575 | # if timerange != None: |
|
|||
| 576 | # self.timerange = timerange |
|
|||
| 577 | # self.xmin, self.tmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|||
| 578 |
|
||||
| 579 |
|
||||
| 580 |
|
||||
| 581 | if ymin == None: ymin = numpy.nanmin(y) |
|
|||
| 582 | if ymax == None: ymax = numpy.nanmax(y) |
|
|||
| 583 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
|||
| 584 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
|||
| 585 |
|
||||
| 586 | self.FTP_WEI = ftp_wei |
|
|||
| 587 | self.EXP_CODE = exp_code |
|
|||
| 588 | self.SUB_EXP_CODE = sub_exp_code |
|
|||
| 589 | self.PLOT_POS = plot_pos |
|
|||
| 590 |
|
||||
| 591 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 592 | self.__isConfig = True |
|
|||
| 593 |
|
||||
| 594 |
|
||||
| 595 | self.setWinTitle(title) |
|
|||
| 596 |
|
||||
| 597 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|||
| 598 | x[1] = self.xmax |
|
|||
| 599 |
|
||||
| 600 | for i in range(self.nplots): |
|
|||
| 601 | title = "Channel %d: %s" %(dataOut.channelList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|||
| 602 | axes = self.axesList[i*self.__nsubplots] |
|
|||
| 603 | zdB = avgdB[i].reshape((1,-1)) |
|
|||
| 604 | axes.pcolorbuffer(x, y, zdB, |
|
|||
| 605 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|||
| 606 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|||
| 607 | ticksize=9, cblabel='', cbsize="1%") |
|
|||
| 608 |
|
||||
| 609 | if self.__showprofile: |
|
|||
| 610 | axes = self.axesList[i*self.__nsubplots +1] |
|
|||
| 611 | axes.pline(avgdB[i], y, |
|
|||
| 612 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|||
| 613 | xlabel='dB', ylabel='', title='', |
|
|||
| 614 | ytick_visible=False, |
|
|||
| 615 | grid='x') |
|
|||
| 616 |
|
||||
| 617 | self.draw() |
|
|||
| 618 |
|
||||
| 619 | # if lastone: |
|
|||
| 620 | # if dataOut.blocknow >= dataOut.last_block: |
|
|||
| 621 | # if figfile == None: |
|
|||
| 622 | # figfile = self.getFilename(name = self.name) |
|
|||
| 623 | # self.saveFigure(figpath, figfile) |
|
|||
| 624 | # |
|
|||
| 625 | # if (save and not(lastone)): |
|
|||
| 626 | # |
|
|||
| 627 | # self.counter_imagwr += 1 |
|
|||
| 628 | # if (self.counter_imagwr==wr_period): |
|
|||
| 629 | # if figfile == None: |
|
|||
| 630 | # figfile = self.getFilename(name = self.name) |
|
|||
| 631 | # self.saveFigure(figpath, figfile) |
|
|||
| 632 | # |
|
|||
| 633 | # if ftp: |
|
|||
| 634 | # #provisionalmente envia archivos en el formato de la web en tiempo real |
|
|||
| 635 | # name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS) |
|
|||
| 636 | # path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 637 | # ftp_file = os.path.join(path,'ftp','%s.png'%name) |
|
|||
| 638 | # self.saveFigure(figpath, ftp_file) |
|
|||
| 639 | # ftp_filename = os.path.join(figpath,ftp_file) |
|
|||
| 640 | # self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 641 | # self.counter_imagwr = 0 |
|
|||
| 642 | # |
|
|||
| 643 | # self.counter_imagwr = 0 |
|
|||
| 644 |
|
||||
| 645 | #if ((dataOut.utctime-time.timezone) >= self.axesList[0].xmax): |
|
|||
| 646 | self.saveFigure(figpath, figfile) |
|
|||
| 647 | if x[1] >= self.axesList[0].xmax: |
|
|||
| 648 | self.saveFigure(figpath, figfile) |
|
|||
| 649 | self.__isConfig = False |
|
|||
| 650 |
|
||||
| 651 | # if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
|||
| 652 | # |
|
|||
| 653 | # self.__isConfig = False |
|
|||
| 654 |
|
||||
| 655 | # if lastone: |
|
|||
| 656 | # if figfile == None: |
|
|||
| 657 | # figfile = self.getFilename(name = self.name) |
|
|||
| 658 | # self.saveFigure(figpath, figfile) |
|
|||
| 659 | # |
|
|||
| 660 | # if ftp: |
|
|||
| 661 | # #provisionalmente envia archivos en el formato de la web en tiempo real |
|
|||
| 662 | # name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS) |
|
|||
| 663 | # path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 664 | # ftp_file = os.path.join(path,'ftp','%s.png'%name) |
|
|||
| 665 | # self.saveFigure(figpath, ftp_file) |
|
|||
| 666 | # ftp_filename = os.path.join(figpath,ftp_file) |
|
|||
| 667 | # self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 668 |
|
||||
| 669 |
|
||||
| 670 | class SpectraPlot(Figure): |
|
|||
| 671 |
|
||||
| 672 | __isConfig = None |
|
|||
| 673 | __nsubplots = None |
|
|||
| 674 |
|
||||
| 675 | WIDTHPROF = None |
|
|||
| 676 | HEIGHTPROF = None |
|
|||
| 677 | PREFIX = 'spc' |
|
|||
| 678 |
|
||||
| 679 | def __init__(self): |
|
|||
| 680 |
|
||||
| 681 | self.__isConfig = False |
|
|||
| 682 | self.__nsubplots = 1 |
|
|||
| 683 |
|
||||
| 684 | self.WIDTH = 280 |
|
|||
| 685 | self.HEIGHT = 250 |
|
|||
| 686 | self.WIDTHPROF = 120 |
|
|||
| 687 | self.HEIGHTPROF = 0 |
|
|||
| 688 | self.counter_imagwr = 0 |
|
|||
| 689 |
|
||||
| 690 | self.PLOT_CODE = 1 |
|
|||
| 691 | self.FTP_WEI = None |
|
|||
| 692 | self.EXP_CODE = None |
|
|||
| 693 | self.SUB_EXP_CODE = None |
|
|||
| 694 | self.PLOT_POS = None |
|
|||
| 695 |
|
||||
| 696 | def getSubplots(self): |
|
|||
| 697 |
|
||||
| 698 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|||
| 699 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|||
| 700 |
|
||||
| 701 | return nrow, ncol |
|
|||
| 702 |
|
||||
| 703 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|||
| 704 |
|
||||
| 705 | self.__showprofile = showprofile |
|
|||
| 706 | self.nplots = nplots |
|
|||
| 707 |
|
||||
| 708 | ncolspan = 1 |
|
|||
| 709 | colspan = 1 |
|
|||
| 710 | if showprofile: |
|
|||
| 711 | ncolspan = 3 |
|
|||
| 712 | colspan = 2 |
|
|||
| 713 | self.__nsubplots = 2 |
|
|||
| 714 |
|
||||
| 715 | self.createFigure(id = id, |
|
|||
| 716 | wintitle = wintitle, |
|
|||
| 717 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|||
| 718 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|||
| 719 | show=show) |
|
|||
| 720 |
|
||||
| 721 | nrow, ncol = self.getSubplots() |
|
|||
| 722 |
|
||||
| 723 | counter = 0 |
|
|||
| 724 | for y in range(nrow): |
|
|||
| 725 | for x in range(ncol): |
|
|||
| 726 |
|
||||
| 727 | if counter >= self.nplots: |
|
|||
| 728 | break |
|
|||
| 729 |
|
||||
| 730 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|||
| 731 |
|
||||
| 732 | if showprofile: |
|
|||
| 733 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|||
| 734 |
|
||||
| 735 | counter += 1 |
|
|||
| 736 |
|
||||
| 737 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|||
| 738 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|||
| 739 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|||
| 740 | server=None, folder=None, username=None, password=None, |
|
|||
| 741 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
|||
| 742 |
|
||||
| 743 | """ |
|
|||
| 744 |
|
||||
| 745 | Input: |
|
|||
| 746 | dataOut : |
|
|||
| 747 | id : |
|
|||
| 748 | wintitle : |
|
|||
| 749 | channelList : |
|
|||
| 750 | showProfile : |
|
|||
| 751 | xmin : None, |
|
|||
| 752 | xmax : None, |
|
|||
| 753 | ymin : None, |
|
|||
| 754 | ymax : None, |
|
|||
| 755 | zmin : None, |
|
|||
| 756 | zmax : None |
|
|||
| 757 | """ |
|
|||
| 758 |
|
||||
| 759 | if dataOut.flagNoData: |
|
|||
| 760 | return None |
|
|||
| 761 |
|
||||
| 762 | if realtime: |
|
|||
| 763 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|||
| 764 | print 'Skipping this plot function' |
|
|||
| 765 | return |
|
|||
| 766 |
|
||||
| 767 | if channelList == None: |
|
|||
| 768 | channelIndexList = dataOut.channelIndexList |
|
|||
| 769 | else: |
|
|||
| 770 | channelIndexList = [] |
|
|||
| 771 | for channel in channelList: |
|
|||
| 772 | if channel not in dataOut.channelList: |
|
|||
| 773 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|||
| 774 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|||
| 775 | factor = dataOut.normFactor |
|
|||
| 776 | x = dataOut.getVelRange(1) |
|
|||
| 777 | y = dataOut.getHeiRange() |
|
|||
| 778 |
|
||||
| 779 | z = dataOut.data_spc[channelIndexList,:,:]/factor |
|
|||
| 780 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|||
| 781 | avg = numpy.average(z, axis=1) |
|
|||
| 782 | noise = dataOut.getNoise()/factor |
|
|||
| 783 |
|
||||
| 784 | zdB = 10*numpy.log10(z) |
|
|||
| 785 | avgdB = 10*numpy.log10(avg) |
|
|||
| 786 | noisedB = 10*numpy.log10(noise) |
|
|||
| 787 |
|
||||
| 788 | #thisDatetime = dataOut.datatime |
|
|||
| 789 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 790 | title = wintitle + " Spectra" |
|
|||
| 791 | xlabel = "Velocity (m/s)" |
|
|||
| 792 | ylabel = "Range (Km)" |
|
|||
| 793 |
|
||||
| 794 | if not self.__isConfig: |
|
|||
| 795 |
|
||||
| 796 | nplots = len(channelIndexList) |
|
|||
| 797 |
|
||||
| 798 | self.setup(id=id, |
|
|||
| 799 | nplots=nplots, |
|
|||
| 800 | wintitle=wintitle, |
|
|||
| 801 | showprofile=showprofile, |
|
|||
| 802 | show=show) |
|
|||
| 803 |
|
||||
| 804 | if xmin == None: xmin = numpy.nanmin(x) |
|
|||
| 805 | if xmax == None: xmax = numpy.nanmax(x) |
|
|||
| 806 | if ymin == None: ymin = numpy.nanmin(y) |
|
|||
| 807 | if ymax == None: ymax = numpy.nanmax(y) |
|
|||
| 808 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
|||
| 809 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
|||
| 810 |
|
||||
| 811 | self.FTP_WEI = ftp_wei |
|
|||
| 812 | self.EXP_CODE = exp_code |
|
|||
| 813 | self.SUB_EXP_CODE = sub_exp_code |
|
|||
| 814 | self.PLOT_POS = plot_pos |
|
|||
| 815 |
|
||||
| 816 | self.__isConfig = True |
|
|||
| 817 |
|
||||
| 818 | self.setWinTitle(title) |
|
|||
| 819 |
|
||||
| 820 | for i in range(self.nplots): |
|
|||
| 821 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|||
| 822 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i]+1, noisedB[i], str_datetime) |
|
|||
| 823 | axes = self.axesList[i*self.__nsubplots] |
|
|||
| 824 | axes.pcolor(x, y, zdB[i,:,:], |
|
|||
| 825 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|||
| 826 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|||
| 827 | ticksize=9, cblabel='') |
|
|||
| 828 |
|
||||
| 829 | if self.__showprofile: |
|
|||
| 830 | axes = self.axesList[i*self.__nsubplots +1] |
|
|||
| 831 | axes.pline(avgdB[i], y, |
|
|||
| 832 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|||
| 833 | xlabel='dB', ylabel='', title='', |
|
|||
| 834 | ytick_visible=False, |
|
|||
| 835 | grid='x') |
|
|||
| 836 |
|
||||
| 837 | noiseline = numpy.repeat(noisedB[i], len(y)) |
|
|||
| 838 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|||
| 839 |
|
||||
| 840 | self.draw() |
|
|||
| 841 |
|
||||
| 842 | if save: |
|
|||
| 843 |
|
||||
| 844 | self.counter_imagwr += 1 |
|
|||
| 845 | if (self.counter_imagwr==wr_period): |
|
|||
| 846 | if figfile == None: |
|
|||
| 847 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 848 | figfile = self.getFilename(name = str_datetime) |
|
|||
| 849 |
|
||||
| 850 | self.saveFigure(figpath, figfile) |
|
|||
| 851 |
|
||||
| 852 | if ftp: |
|
|||
| 853 | #provisionalmente envia archivos en el formato de la web en tiempo real |
|
|||
| 854 | name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS) |
|
|||
| 855 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 856 | ftp_file = os.path.join(path,'ftp','%s.png'%name) |
|
|||
| 857 | self.saveFigure(figpath, ftp_file) |
|
|||
| 858 | ftp_filename = os.path.join(figpath,ftp_file) |
|
|||
| 859 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 860 | self.counter_imagwr = 0 |
|
|||
| 861 |
|
||||
| 862 |
|
||||
| 863 | self.counter_imagwr = 0 |
|
|||
| 864 |
|
||||
| 865 |
|
||||
| 866 | class Scope(Figure): |
|
|||
| 867 |
|
||||
| 868 | __isConfig = None |
|
|||
| 869 |
|
||||
| 870 | def __init__(self): |
|
|||
| 871 |
|
||||
| 872 | self.__isConfig = False |
|
|||
| 873 | self.WIDTH = 300 |
|
|||
| 874 | self.HEIGHT = 200 |
|
|||
| 875 | self.counter_imagwr = 0 |
|
|||
| 876 |
|
||||
| 877 | def getSubplots(self): |
|
|||
| 878 |
|
||||
| 879 | nrow = self.nplots |
|
|||
| 880 | ncol = 3 |
|
|||
| 881 | return nrow, ncol |
|
|||
| 882 |
|
||||
| 883 | def setup(self, id, nplots, wintitle, show): |
|
|||
| 884 |
|
||||
| 885 | self.nplots = nplots |
|
|||
| 886 |
|
||||
| 887 | self.createFigure(id=id, |
|
|||
| 888 | wintitle=wintitle, |
|
|||
| 889 | show=show) |
|
|||
| 890 |
|
||||
| 891 | nrow,ncol = self.getSubplots() |
|
|||
| 892 | colspan = 3 |
|
|||
| 893 | rowspan = 1 |
|
|||
| 894 |
|
||||
| 895 | for i in range(nplots): |
|
|||
| 896 | self.addAxes(nrow, ncol, i, 0, colspan, rowspan) |
|
|||
| 897 |
|
||||
| 898 | def plot_iq(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax): |
|
|||
| 899 | yreal = y[channelIndexList,:].real |
|
|||
| 900 | yimag = y[channelIndexList,:].imag |
|
|||
| 901 |
|
||||
| 902 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|||
| 903 | xlabel = "Range (Km)" |
|
|||
| 904 | ylabel = "Intensity - IQ" |
|
|||
| 905 |
|
||||
| 906 | if not self.__isConfig: |
|
|||
| 907 | nplots = len(channelIndexList) |
|
|||
| 908 |
|
||||
| 909 | self.setup(id=id, |
|
|||
| 910 | nplots=nplots, |
|
|||
| 911 | wintitle='', |
|
|||
| 912 | show=show) |
|
|||
| 913 |
|
||||
| 914 | if xmin == None: xmin = numpy.nanmin(x) |
|
|||
| 915 | if xmax == None: xmax = numpy.nanmax(x) |
|
|||
| 916 | if ymin == None: ymin = min(numpy.nanmin(yreal),numpy.nanmin(yimag)) |
|
|||
| 917 | if ymax == None: ymax = max(numpy.nanmax(yreal),numpy.nanmax(yimag)) |
|
|||
| 918 |
|
||||
| 919 | self.__isConfig = True |
|
|||
| 920 |
|
||||
| 921 | self.setWinTitle(title) |
|
|||
| 922 |
|
||||
| 923 | for i in range(len(self.axesList)): |
|
|||
| 924 | title = "Channel %d" %(i) |
|
|||
| 925 | axes = self.axesList[i] |
|
|||
| 926 |
|
||||
| 927 | axes.pline(x, yreal[i,:], |
|
|||
| 928 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|||
| 929 | xlabel=xlabel, ylabel=ylabel, title=title) |
|
|||
| 930 |
|
||||
| 931 | axes.addpline(x, yimag[i,:], idline=1, color="red", linestyle="solid", lw=2) |
|
|||
| 932 |
|
||||
| 933 | def plot_power(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax): |
|
|||
| 934 | y = y[channelIndexList,:] * numpy.conjugate(y[channelIndexList,:]) |
|
|||
| 935 | yreal = y.real |
|
|||
| 936 |
|
||||
| 937 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|||
| 938 | xlabel = "Range (Km)" |
|
|||
| 939 | ylabel = "Intensity" |
|
|||
| 940 |
|
||||
| 941 | if not self.__isConfig: |
|
|||
| 942 | nplots = len(channelIndexList) |
|
|||
| 943 |
|
||||
| 944 | self.setup(id=id, |
|
|||
| 945 | nplots=nplots, |
|
|||
| 946 | wintitle='', |
|
|||
| 947 | show=show) |
|
|||
| 948 |
|
||||
| 949 | if xmin == None: xmin = numpy.nanmin(x) |
|
|||
| 950 | if xmax == None: xmax = numpy.nanmax(x) |
|
|||
| 951 | if ymin == None: ymin = numpy.nanmin(yreal) |
|
|||
| 952 | if ymax == None: ymax = numpy.nanmax(yreal) |
|
|||
| 953 |
|
||||
| 954 | self.__isConfig = True |
|
|||
| 955 |
|
||||
| 956 | self.setWinTitle(title) |
|
|||
| 957 |
|
||||
| 958 | for i in range(len(self.axesList)): |
|
|||
| 959 | title = "Channel %d" %(i) |
|
|||
| 960 | axes = self.axesList[i] |
|
|||
| 961 | ychannel = yreal[i,:] |
|
|||
| 962 | axes.pline(x, ychannel, |
|
|||
| 963 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|||
| 964 | xlabel=xlabel, ylabel=ylabel, title=title) |
|
|||
| 965 |
|
||||
| 966 |
|
||||
| 967 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|||
| 968 | xmin=None, xmax=None, ymin=None, ymax=None, save=False, |
|
|||
| 969 | figpath='./', figfile=None, show=True, wr_period=1, |
|
|||
| 970 | server=None, folder=None, username=None, password=None, type='power'): |
|
|||
| 971 |
|
||||
| 972 | """ |
|
|||
| 973 |
|
||||
| 974 | Input: |
|
|||
| 975 | dataOut : |
|
|||
| 976 | id : |
|
|||
| 977 | wintitle : |
|
|||
| 978 | channelList : |
|
|||
| 979 | xmin : None, |
|
|||
| 980 | xmax : None, |
|
|||
| 981 | ymin : None, |
|
|||
| 982 | ymax : None, |
|
|||
| 983 | """ |
|
|||
| 984 | if dataOut.flagNoData: |
|
|||
| 985 | return None |
|
|||
| 986 |
|
||||
| 987 | if channelList == None: |
|
|||
| 988 | channelIndexList = dataOut.channelIndexList |
|
|||
| 989 | else: |
|
|||
| 990 | channelIndexList = [] |
|
|||
| 991 | for channel in channelList: |
|
|||
| 992 | if channel not in dataOut.channelList: |
|
|||
| 993 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|||
| 994 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|||
| 995 |
|
||||
| 996 | x = dataOut.heightList |
|
|||
| 997 | y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
|||
| 998 | y = y.real |
|
|||
| 999 |
|
||||
| 1000 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 1001 |
|
||||
| 1002 | if type == "power": |
|
|||
| 1003 | self.plot_power(dataOut.heightList, |
|
|||
| 1004 | dataOut.data, |
|
|||
| 1005 | id, |
|
|||
| 1006 | channelIndexList, |
|
|||
| 1007 | thisDatetime, |
|
|||
| 1008 | wintitle, |
|
|||
| 1009 | show, |
|
|||
| 1010 | xmin, |
|
|||
| 1011 | xmax, |
|
|||
| 1012 | ymin, |
|
|||
| 1013 | ymax) |
|
|||
| 1014 |
|
||||
| 1015 | if type == "iq": |
|
|||
| 1016 | self.plot_iq(dataOut.heightList, |
|
|||
| 1017 | dataOut.data, |
|
|||
| 1018 | id, |
|
|||
| 1019 | channelIndexList, |
|
|||
| 1020 | thisDatetime, |
|
|||
| 1021 | wintitle, |
|
|||
| 1022 | show, |
|
|||
| 1023 | xmin, |
|
|||
| 1024 | xmax, |
|
|||
| 1025 | ymin, |
|
|||
| 1026 | ymax) |
|
|||
| 1027 |
|
||||
| 1028 |
|
||||
| 1029 | self.draw() |
|
|||
| 1030 |
|
||||
| 1031 | if save: |
|
|||
| 1032 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 1033 | if figfile == None: |
|
|||
| 1034 | figfile = self.getFilename(name = date) |
|
|||
| 1035 |
|
||||
| 1036 | self.saveFigure(figpath, figfile) |
|
|||
| 1037 |
|
||||
| 1038 | self.counter_imagwr += 1 |
|
|||
| 1039 | if (ftp and (self.counter_imagwr==wr_period)): |
|
|||
| 1040 | ftp_filename = os.path.join(figpath,figfile) |
|
|||
| 1041 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 1042 | self.counter_imagwr = 0 |
|
|||
| 1043 |
|
||||
| 1044 | class PowerProfile(Figure): |
|
|||
| 1045 | __isConfig = None |
|
|||
| 1046 | __nsubplots = None |
|
|||
| 1047 |
|
||||
| 1048 | WIDTHPROF = None |
|
|||
| 1049 | HEIGHTPROF = None |
|
|||
| 1050 | PREFIX = 'spcprofile' |
|
|||
| 1051 |
|
||||
| 1052 | def __init__(self): |
|
|||
| 1053 | self.__isConfig = False |
|
|||
| 1054 | self.__nsubplots = 1 |
|
|||
| 1055 |
|
||||
| 1056 | self.WIDTH = 300 |
|
|||
| 1057 | self.HEIGHT = 500 |
|
|||
| 1058 | self.counter_imagwr = 0 |
|
|||
| 1059 |
|
||||
| 1060 | def getSubplots(self): |
|
|||
| 1061 | ncol = 1 |
|
|||
| 1062 | nrow = 1 |
|
|||
| 1063 |
|
||||
| 1064 | return nrow, ncol |
|
|||
| 1065 |
|
||||
| 1066 | def setup(self, id, nplots, wintitle, show): |
|
|||
| 1067 |
|
||||
| 1068 | self.nplots = nplots |
|
|||
| 1069 |
|
||||
| 1070 | ncolspan = 1 |
|
|||
| 1071 | colspan = 1 |
|
|||
| 1072 |
|
||||
| 1073 | self.createFigure(id = id, |
|
|||
| 1074 | wintitle = wintitle, |
|
|||
| 1075 | widthplot = self.WIDTH, |
|
|||
| 1076 | heightplot = self.HEIGHT, |
|
|||
| 1077 | show=show) |
|
|||
| 1078 |
|
||||
| 1079 | nrow, ncol = self.getSubplots() |
|
|||
| 1080 |
|
||||
| 1081 | counter = 0 |
|
|||
| 1082 | for y in range(nrow): |
|
|||
| 1083 | for x in range(ncol): |
|
|||
| 1084 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|||
| 1085 |
|
||||
| 1086 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|||
| 1087 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|||
| 1088 | save=False, figpath='./', figfile=None, show=True, wr_period=1, |
|
|||
| 1089 | server=None, folder=None, username=None, password=None,): |
|
|||
| 1090 |
|
||||
| 1091 | if dataOut.flagNoData: |
|
|||
| 1092 | return None |
|
|||
| 1093 |
|
||||
| 1094 | if channelList == None: |
|
|||
| 1095 | channelIndexList = dataOut.channelIndexList |
|
|||
| 1096 | channelList = dataOut.channelList |
|
|||
| 1097 | else: |
|
|||
| 1098 | channelIndexList = [] |
|
|||
| 1099 | for channel in channelList: |
|
|||
| 1100 | if channel not in dataOut.channelList: |
|
|||
| 1101 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|||
| 1102 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|||
| 1103 |
|
||||
| 1104 | try: |
|
|||
| 1105 | factor = dataOut.normFactor |
|
|||
| 1106 | except: |
|
|||
| 1107 | factor = 1 |
|
|||
| 1108 |
|
||||
| 1109 | y = dataOut.getHeiRange() |
|
|||
| 1110 |
|
||||
| 1111 | #for voltage |
|
|||
| 1112 | if dataOut.type == 'Voltage': |
|
|||
| 1113 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
|||
| 1114 | x = x.real |
|
|||
| 1115 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
|||
| 1116 |
|
||||
| 1117 | #for spectra |
|
|||
| 1118 | if dataOut.type == 'Spectra': |
|
|||
| 1119 | x = dataOut.data_spc[channelIndexList,:,:]/factor |
|
|||
| 1120 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
|||
| 1121 | x = numpy.average(x, axis=1) |
|
|||
| 1122 |
|
||||
| 1123 |
|
||||
| 1124 | xdB = 10*numpy.log10(x) |
|
|||
| 1125 |
|
||||
| 1126 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 1127 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|||
| 1128 | xlabel = "dB" |
|
|||
| 1129 | ylabel = "Range (Km)" |
|
|||
| 1130 |
|
||||
| 1131 | if not self.__isConfig: |
|
|||
| 1132 |
|
||||
| 1133 | nplots = 1 |
|
|||
| 1134 |
|
||||
| 1135 | self.setup(id=id, |
|
|||
| 1136 | nplots=nplots, |
|
|||
| 1137 | wintitle=wintitle, |
|
|||
| 1138 | show=show) |
|
|||
| 1139 |
|
||||
| 1140 | if ymin == None: ymin = numpy.nanmin(y) |
|
|||
| 1141 | if ymax == None: ymax = numpy.nanmax(y) |
|
|||
| 1142 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 |
|
|||
| 1143 | if xmax == None: xmax = numpy.nanmax(xdB)*0.9 |
|
|||
| 1144 |
|
||||
| 1145 | self.__isConfig = True |
|
|||
| 1146 |
|
||||
| 1147 | self.setWinTitle(title) |
|
|||
| 1148 |
|
||||
| 1149 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|||
| 1150 | axes = self.axesList[0] |
|
|||
| 1151 |
|
||||
| 1152 | legendlabels = ["channel %d"%x for x in channelList] |
|
|||
| 1153 | axes.pmultiline(xdB, y, |
|
|||
| 1154 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|||
| 1155 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
|||
| 1156 | ytick_visible=True, nxticks=5, |
|
|||
| 1157 | grid='x') |
|
|||
| 1158 |
|
||||
| 1159 | self.draw() |
|
|||
| 1160 |
|
||||
| 1161 | if save: |
|
|||
| 1162 | date = thisDatetime.strftime("%Y%m%d") |
|
|||
| 1163 | if figfile == None: |
|
|||
| 1164 | figfile = self.getFilename(name = date) |
|
|||
| 1165 |
|
||||
| 1166 | self.saveFigure(figpath, figfile) |
|
|||
| 1167 |
|
||||
| 1168 | self.counter_imagwr += 1 |
|
|||
| 1169 | if (ftp and (self.counter_imagwr==wr_period)): |
|
|||
| 1170 | ftp_filename = os.path.join(figpath,figfile) |
|
|||
| 1171 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 1172 | self.counter_imagwr = 0 |
|
|||
| 1173 |
|
||||
| 1174 | class CoherenceMap(Figure): |
|
|||
| 1175 | __isConfig = None |
|
|||
| 1176 | __nsubplots = None |
|
|||
| 1177 |
|
||||
| 1178 | WIDTHPROF = None |
|
|||
| 1179 | HEIGHTPROF = None |
|
|||
| 1180 | PREFIX = 'cmap' |
|
|||
| 1181 |
|
||||
| 1182 | def __init__(self): |
|
|||
| 1183 | self.timerange = 2*60*60 |
|
|||
| 1184 | self.__isConfig = False |
|
|||
| 1185 | self.__nsubplots = 1 |
|
|||
| 1186 |
|
||||
| 1187 | self.WIDTH = 800 |
|
|||
| 1188 | self.HEIGHT = 150 |
|
|||
| 1189 | self.WIDTHPROF = 120 |
|
|||
| 1190 | self.HEIGHTPROF = 0 |
|
|||
| 1191 | self.counter_imagwr = 0 |
|
|||
| 1192 |
|
||||
| 1193 | self.PLOT_CODE = 3 |
|
|||
| 1194 | self.FTP_WEI = None |
|
|||
| 1195 | self.EXP_CODE = None |
|
|||
| 1196 | self.SUB_EXP_CODE = None |
|
|||
| 1197 | self.PLOT_POS = None |
|
|||
| 1198 | self.counter_imagwr = 0 |
|
|||
| 1199 |
|
||||
| 1200 | self.xmin = None |
|
|||
| 1201 | self.xmax = None |
|
|||
| 1202 |
|
||||
| 1203 | def getSubplots(self): |
|
|||
| 1204 | ncol = 1 |
|
|||
| 1205 | nrow = self.nplots*2 |
|
|||
| 1206 |
|
||||
| 1207 | return nrow, ncol |
|
|||
| 1208 |
|
||||
| 1209 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|||
| 1210 | self.__showprofile = showprofile |
|
|||
| 1211 | self.nplots = nplots |
|
|||
| 1212 |
|
||||
| 1213 | ncolspan = 1 |
|
|||
| 1214 | colspan = 1 |
|
|||
| 1215 | if showprofile: |
|
|||
| 1216 | ncolspan = 7 |
|
|||
| 1217 | colspan = 6 |
|
|||
| 1218 | self.__nsubplots = 2 |
|
|||
| 1219 |
|
||||
| 1220 | self.createFigure(id = id, |
|
|||
| 1221 | wintitle = wintitle, |
|
|||
| 1222 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|||
| 1223 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|||
| 1224 | show=True) |
|
|||
| 1225 |
|
||||
| 1226 | nrow, ncol = self.getSubplots() |
|
|||
| 1227 |
|
||||
| 1228 | for y in range(nrow): |
|
|||
| 1229 | for x in range(ncol): |
|
|||
| 1230 |
|
||||
| 1231 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|||
| 1232 |
|
||||
| 1233 | if showprofile: |
|
|||
| 1234 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|||
| 1235 |
|
||||
| 1236 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|||
| 1237 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|||
| 1238 | timerange=None, |
|
|||
| 1239 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
|||
| 1240 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
|||
| 1241 | server=None, folder=None, username=None, password=None, |
|
|||
| 1242 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|||
| 1243 |
|
||||
| 1244 | if pairsList == None: |
|
|||
| 1245 | pairsIndexList = dataOut.pairsIndexList |
|
|||
| 1246 | else: |
|
|||
| 1247 | pairsIndexList = [] |
|
|||
| 1248 | for pair in pairsList: |
|
|||
| 1249 | if pair not in dataOut.pairsList: |
|
|||
| 1250 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
|||
| 1251 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|||
| 1252 |
|
||||
| 1253 | if timerange != None: |
|
|||
| 1254 | self.timerange = timerange |
|
|||
| 1255 |
|
||||
| 1256 | if pairsIndexList == []: |
|
|||
| 1257 | return |
|
|||
| 1258 |
|
||||
| 1259 | if len(pairsIndexList) > 4: |
|
|||
| 1260 | pairsIndexList = pairsIndexList[0:4] |
|
|||
| 1261 |
|
||||
| 1262 | # tmin = None |
|
|||
| 1263 | # tmax = None |
|
|||
| 1264 | x = dataOut.getTimeRange() |
|
|||
| 1265 | y = dataOut.getHeiRange() |
|
|||
| 1266 |
|
||||
| 1267 | #thisDatetime = dataOut.datatime |
|
|||
| 1268 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 1269 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|||
| 1270 | xlabel = "" |
|
|||
| 1271 | ylabel = "Range (Km)" |
|
|||
| 1272 |
|
||||
| 1273 | if not self.__isConfig: |
|
|||
| 1274 | nplots = len(pairsIndexList) |
|
|||
| 1275 | self.setup(id=id, |
|
|||
| 1276 | nplots=nplots, |
|
|||
| 1277 | wintitle=wintitle, |
|
|||
| 1278 | showprofile=showprofile, |
|
|||
| 1279 | show=show) |
|
|||
| 1280 |
|
||||
| 1281 | #tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
|||
| 1282 |
|
||||
| 1283 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|||
| 1284 |
|
||||
| 1285 | if ymin == None: ymin = numpy.nanmin(y) |
|
|||
| 1286 | if ymax == None: ymax = numpy.nanmax(y) |
|
|||
| 1287 | if zmin == None: zmin = 0. |
|
|||
| 1288 | if zmax == None: zmax = 1. |
|
|||
| 1289 |
|
||||
| 1290 | self.FTP_WEI = ftp_wei |
|
|||
| 1291 | self.EXP_CODE = exp_code |
|
|||
| 1292 | self.SUB_EXP_CODE = sub_exp_code |
|
|||
| 1293 | self.PLOT_POS = plot_pos |
|
|||
| 1294 |
|
||||
| 1295 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 1296 |
|
||||
| 1297 | self.__isConfig = True |
|
|||
| 1298 |
|
||||
| 1299 | self.setWinTitle(title) |
|
|||
| 1300 |
|
||||
| 1301 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|||
| 1302 | x[1] = self.xmax |
|
|||
| 1303 |
|
||||
| 1304 | for i in range(self.nplots): |
|
|||
| 1305 |
|
||||
| 1306 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|||
| 1307 | # coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:]) |
|
|||
| 1308 | # avgcoherenceComplex = numpy.average(coherenceComplex, axis=0) |
|
|||
| 1309 | # coherence = numpy.abs(avgcoherenceComplex) |
|
|||
| 1310 |
|
||||
| 1311 | ## coherence = numpy.abs(coherenceComplex) |
|
|||
| 1312 | ## avg = numpy.average(coherence, axis=0) |
|
|||
| 1313 |
|
||||
| 1314 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) |
|
|||
| 1315 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) |
|
|||
| 1316 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) |
|
|||
| 1317 |
|
||||
| 1318 |
|
||||
| 1319 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|||
| 1320 | coherence = numpy.abs(avgcoherenceComplex) |
|
|||
| 1321 |
|
||||
| 1322 | z = coherence.reshape((1,-1)) |
|
|||
| 1323 |
|
||||
| 1324 | counter = 0 |
|
|||
| 1325 |
|
||||
| 1326 | title = "Coherence %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|||
| 1327 | axes = self.axesList[i*self.__nsubplots*2] |
|
|||
| 1328 | axes.pcolorbuffer(x, y, z, |
|
|||
| 1329 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|||
| 1330 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|||
| 1331 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") |
|
|||
| 1332 |
|
||||
| 1333 | if self.__showprofile: |
|
|||
| 1334 | counter += 1 |
|
|||
| 1335 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|||
| 1336 | axes.pline(coherence, y, |
|
|||
| 1337 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|||
| 1338 | xlabel='', ylabel='', title='', ticksize=7, |
|
|||
| 1339 | ytick_visible=False, nxticks=5, |
|
|||
| 1340 | grid='x') |
|
|||
| 1341 |
|
||||
| 1342 | counter += 1 |
|
|||
| 1343 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
|||
| 1344 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|||
| 1345 | # avg = numpy.average(phase, axis=0) |
|
|||
| 1346 | z = phase.reshape((1,-1)) |
|
|||
| 1347 |
|
||||
| 1348 | title = "Phase %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|||
| 1349 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|||
| 1350 | axes.pcolorbuffer(x, y, z, |
|
|||
| 1351 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180, |
|
|||
| 1352 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|||
| 1353 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") |
|
|||
| 1354 |
|
||||
| 1355 | if self.__showprofile: |
|
|||
| 1356 | counter += 1 |
|
|||
| 1357 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|||
| 1358 | axes.pline(phase, y, |
|
|||
| 1359 | xmin=-180, xmax=180, ymin=ymin, ymax=ymax, |
|
|||
| 1360 | xlabel='', ylabel='', title='', ticksize=7, |
|
|||
| 1361 | ytick_visible=False, nxticks=4, |
|
|||
| 1362 | grid='x') |
|
|||
| 1363 |
|
||||
| 1364 | self.draw() |
|
|||
| 1365 |
|
||||
| 1366 | if x[1] >= self.axesList[0].xmax: |
|
|||
| 1367 | self.saveFigure(figpath, figfile) |
|
|||
| 1368 | self.__isConfig = False |
|
|||
| 1369 |
|
||||
| 1370 | # if save: |
|
|||
| 1371 | # |
|
|||
| 1372 | # self.counter_imagwr += 1 |
|
|||
| 1373 | # if (self.counter_imagwr==wr_period): |
|
|||
| 1374 | # if figfile == None: |
|
|||
| 1375 | # figfile = self.getFilename(name = self.name) |
|
|||
| 1376 | # self.saveFigure(figpath, figfile) |
|
|||
| 1377 | # |
|
|||
| 1378 | # if ftp: |
|
|||
| 1379 | # #provisionalmente envia archivos en el formato de la web en tiempo real |
|
|||
| 1380 | # name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS) |
|
|||
| 1381 | # path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 1382 | # ftp_file = os.path.join(path,'ftp','%s.png'%name) |
|
|||
| 1383 | # self.saveFigure(figpath, ftp_file) |
|
|||
| 1384 | # ftp_filename = os.path.join(figpath,ftp_file) |
|
|||
| 1385 | # self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 1386 | # self.counter_imagwr = 0 |
|
|||
| 1387 | # |
|
|||
| 1388 | # self.counter_imagwr = 0 |
|
|||
| 1389 | # |
|
|||
| 1390 | # |
|
|||
| 1391 | # if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
|||
| 1392 | # self.__isConfig = False |
|
|||
| 1393 |
|
||||
| 1394 | class BeaconPhase(Figure): |
|
|||
| 1395 |
|
||||
| 1396 | __isConfig = None |
|
|||
| 1397 | __nsubplots = None |
|
|||
| 1398 |
|
||||
| 1399 | PREFIX = 'beacon_phase' |
|
|||
| 1400 |
|
||||
| 1401 | def __init__(self): |
|
|||
| 1402 |
|
||||
| 1403 | self.timerange = 24*60*60 |
|
|||
| 1404 | self.__isConfig = False |
|
|||
| 1405 | self.__nsubplots = 1 |
|
|||
| 1406 | self.counter_imagwr = 0 |
|
|||
| 1407 | self.WIDTH = 600 |
|
|||
| 1408 | self.HEIGHT = 300 |
|
|||
| 1409 | self.WIDTHPROF = 120 |
|
|||
| 1410 | self.HEIGHTPROF = 0 |
|
|||
| 1411 | self.xdata = None |
|
|||
| 1412 | self.ydata = None |
|
|||
| 1413 |
|
||||
| 1414 | self.PLOT_CODE = 18 |
|
|||
| 1415 | self.FTP_WEI = None |
|
|||
| 1416 | self.EXP_CODE = None |
|
|||
| 1417 | self.SUB_EXP_CODE = None |
|
|||
| 1418 | self.PLOT_POS = None |
|
|||
| 1419 |
|
||||
| 1420 | self.filename_phase = None |
|
|||
| 1421 |
|
||||
| 1422 | def getSubplots(self): |
|
|||
| 1423 |
|
||||
| 1424 | ncol = 1 |
|
|||
| 1425 | nrow = 1 |
|
|||
| 1426 |
|
||||
| 1427 | return nrow, ncol |
|
|||
| 1428 |
|
||||
| 1429 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|||
| 1430 |
|
||||
| 1431 | self.__showprofile = showprofile |
|
|||
| 1432 | self.nplots = nplots |
|
|||
| 1433 |
|
||||
| 1434 | ncolspan = 7 |
|
|||
| 1435 | colspan = 6 |
|
|||
| 1436 | self.__nsubplots = 2 |
|
|||
| 1437 |
|
||||
| 1438 | self.createFigure(id = id, |
|
|||
| 1439 | wintitle = wintitle, |
|
|||
| 1440 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|||
| 1441 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|||
| 1442 | show=show) |
|
|||
| 1443 |
|
||||
| 1444 | nrow, ncol = self.getSubplots() |
|
|||
| 1445 |
|
||||
| 1446 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|||
| 1447 |
|
||||
| 1448 | def save_phase(self, filename_phase): |
|
|||
| 1449 | f = open(filename_phase,'w+') |
|
|||
| 1450 | f.write('\n\n') |
|
|||
| 1451 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
|||
| 1452 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
|||
| 1453 | f.close() |
|
|||
| 1454 |
|
||||
| 1455 | def save_data(self, filename_phase, data, data_datetime): |
|
|||
| 1456 | f=open(filename_phase,'a') |
|
|||
| 1457 | timetuple_data = data_datetime.timetuple() |
|
|||
| 1458 | day = str(timetuple_data.tm_mday) |
|
|||
| 1459 | month = str(timetuple_data.tm_mon) |
|
|||
| 1460 | year = str(timetuple_data.tm_year) |
|
|||
| 1461 | hour = str(timetuple_data.tm_hour) |
|
|||
| 1462 | minute = str(timetuple_data.tm_min) |
|
|||
| 1463 | second = str(timetuple_data.tm_sec) |
|
|||
| 1464 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
|||
| 1465 | f.close() |
|
|||
| 1466 |
|
||||
| 1467 |
|
||||
| 1468 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|||
| 1469 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|||
| 1470 | timerange=None, |
|
|||
| 1471 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|||
| 1472 | server=None, folder=None, username=None, password=None, |
|
|||
| 1473 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|||
| 1474 |
|
||||
| 1475 | if pairsList == None: |
|
|||
| 1476 | pairsIndexList = dataOut.pairsIndexList |
|
|||
| 1477 | else: |
|
|||
| 1478 | pairsIndexList = [] |
|
|||
| 1479 | for pair in pairsList: |
|
|||
| 1480 | if pair not in dataOut.pairsList: |
|
|||
| 1481 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
|||
| 1482 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|||
| 1483 |
|
||||
| 1484 | if pairsIndexList == []: |
|
|||
| 1485 | return |
|
|||
| 1486 |
|
||||
| 1487 | # if len(pairsIndexList) > 4: |
|
|||
| 1488 | # pairsIndexList = pairsIndexList[0:4] |
|
|||
| 1489 |
|
||||
| 1490 | if timerange != None: |
|
|||
| 1491 | self.timerange = timerange |
|
|||
| 1492 |
|
||||
| 1493 | tmin = None |
|
|||
| 1494 | tmax = None |
|
|||
| 1495 | x = dataOut.getTimeRange() |
|
|||
| 1496 | y = dataOut.getHeiRange() |
|
|||
| 1497 |
|
||||
| 1498 |
|
||||
| 1499 | #thisDatetime = dataOut.datatime |
|
|||
| 1500 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 1501 | title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|||
| 1502 | xlabel = "Local Time" |
|
|||
| 1503 | ylabel = "Phase" |
|
|||
| 1504 |
|
||||
| 1505 | nplots = len(pairsIndexList) |
|
|||
| 1506 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
|||
| 1507 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
|||
| 1508 | for i in range(nplots): |
|
|||
| 1509 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|||
| 1510 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) |
|
|||
| 1511 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) |
|
|||
| 1512 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) |
|
|||
| 1513 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|||
| 1514 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|||
| 1515 |
|
||||
| 1516 | #print "Phase %d%d" %(pair[0], pair[1]) |
|
|||
| 1517 | #print phase[dataOut.beacon_heiIndexList] |
|
|||
| 1518 |
|
||||
| 1519 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
|||
| 1520 |
|
||||
| 1521 | if not self.__isConfig: |
|
|||
| 1522 |
|
||||
| 1523 | nplots = len(pairsIndexList) |
|
|||
| 1524 |
|
||||
| 1525 | self.setup(id=id, |
|
|||
| 1526 | nplots=nplots, |
|
|||
| 1527 | wintitle=wintitle, |
|
|||
| 1528 | showprofile=showprofile, |
|
|||
| 1529 | show=show) |
|
|||
| 1530 |
|
||||
| 1531 | tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
|||
| 1532 | if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0 |
|
|||
| 1533 | if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0 |
|
|||
| 1534 |
|
||||
| 1535 | self.FTP_WEI = ftp_wei |
|
|||
| 1536 | self.EXP_CODE = exp_code |
|
|||
| 1537 | self.SUB_EXP_CODE = sub_exp_code |
|
|||
| 1538 | self.PLOT_POS = plot_pos |
|
|||
| 1539 |
|
||||
| 1540 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 1541 | self.__isConfig = True |
|
|||
| 1542 |
|
||||
| 1543 | self.xdata = numpy.array([]) |
|
|||
| 1544 | self.ydata = numpy.array([]) |
|
|||
| 1545 |
|
||||
| 1546 | #open file beacon phase |
|
|||
| 1547 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 1548 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
|||
| 1549 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
|||
| 1550 | #self.save_phase(self.filename_phase) |
|
|||
| 1551 |
|
||||
| 1552 |
|
||||
| 1553 | #store data beacon phase |
|
|||
| 1554 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
|||
| 1555 |
|
||||
| 1556 | self.setWinTitle(title) |
|
|||
| 1557 |
|
||||
| 1558 |
|
||||
| 1559 | title = "Beacon Signal %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|||
| 1560 |
|
||||
| 1561 | legendlabels = ["pairs %d%d"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
|||
| 1562 |
|
||||
| 1563 | axes = self.axesList[0] |
|
|||
| 1564 |
|
||||
| 1565 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|||
| 1566 |
|
||||
| 1567 | if len(self.ydata)==0: |
|
|||
| 1568 | self.ydata = phase_beacon.reshape(-1,1) |
|
|||
| 1569 | else: |
|
|||
| 1570 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
|||
| 1571 |
|
||||
| 1572 |
|
||||
| 1573 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|||
| 1574 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, |
|
|||
| 1575 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|||
| 1576 | XAxisAsTime=True, grid='both' |
|
|||
| 1577 | ) |
|
|||
| 1578 |
|
||||
| 1579 | self.draw() |
|
|||
| 1580 |
|
||||
| 1581 | if save: |
|
|||
| 1582 |
|
||||
| 1583 | self.counter_imagwr += 1 |
|
|||
| 1584 | if (self.counter_imagwr==wr_period): |
|
|||
| 1585 | if figfile == None: |
|
|||
| 1586 | figfile = self.getFilename(name = self.name) |
|
|||
| 1587 | self.saveFigure(figpath, figfile) |
|
|||
| 1588 |
|
||||
| 1589 | if ftp: |
|
|||
| 1590 | #provisionalmente envia archivos en el formato de la web en tiempo real |
|
|||
| 1591 | name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS) |
|
|||
| 1592 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 1593 | ftp_file = os.path.join(path,'ftp','%s.png'%name) |
|
|||
| 1594 | self.saveFigure(figpath, ftp_file) |
|
|||
| 1595 | ftp_filename = os.path.join(figpath,ftp_file) |
|
|||
| 1596 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 1597 |
|
||||
| 1598 | self.counter_imagwr = 0 |
|
|||
| 1599 |
|
||||
| 1600 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
|||
| 1601 | self.__isConfig = False |
|
|||
| 1602 | del self.xdata |
|
|||
| 1603 | del self.ydata |
|
|||
| 1604 |
|
||||
| 1605 |
|
||||
| 1606 |
|
||||
| 1607 |
|
||||
| 1608 | class Noise(Figure): |
|
|||
| 1609 |
|
||||
| 1610 | __isConfig = None |
|
|||
| 1611 | __nsubplots = None |
|
|||
| 1612 |
|
||||
| 1613 | PREFIX = 'noise' |
|
|||
| 1614 |
|
||||
| 1615 | def __init__(self): |
|
|||
| 1616 |
|
||||
| 1617 | self.timerange = 24*60*60 |
|
|||
| 1618 | self.__isConfig = False |
|
|||
| 1619 | self.__nsubplots = 1 |
|
|||
| 1620 | self.counter_imagwr = 0 |
|
|||
| 1621 | self.WIDTH = 600 |
|
|||
| 1622 | self.HEIGHT = 300 |
|
|||
| 1623 | self.WIDTHPROF = 120 |
|
|||
| 1624 | self.HEIGHTPROF = 0 |
|
|||
| 1625 | self.xdata = None |
|
|||
| 1626 | self.ydata = None |
|
|||
| 1627 |
|
||||
| 1628 | self.PLOT_CODE = 77 |
|
|||
| 1629 | self.FTP_WEI = None |
|
|||
| 1630 | self.EXP_CODE = None |
|
|||
| 1631 | self.SUB_EXP_CODE = None |
|
|||
| 1632 | self.PLOT_POS = None |
|
|||
| 1633 |
|
||||
| 1634 | def getSubplots(self): |
|
|||
| 1635 |
|
||||
| 1636 | ncol = 1 |
|
|||
| 1637 | nrow = 1 |
|
|||
| 1638 |
|
||||
| 1639 | return nrow, ncol |
|
|||
| 1640 |
|
||||
| 1641 | def openfile(self, filename): |
|
|||
| 1642 | f = open(filename,'w+') |
|
|||
| 1643 | f.write('\n\n') |
|
|||
| 1644 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') |
|
|||
| 1645 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) |
|
|||
| 1646 | f.close() |
|
|||
| 1647 |
|
||||
| 1648 | def save_data(self, filename_phase, data, data_datetime): |
|
|||
| 1649 | f=open(filename_phase,'a') |
|
|||
| 1650 | timetuple_data = data_datetime.timetuple() |
|
|||
| 1651 | day = str(timetuple_data.tm_mday) |
|
|||
| 1652 | month = str(timetuple_data.tm_mon) |
|
|||
| 1653 | year = str(timetuple_data.tm_year) |
|
|||
| 1654 | hour = str(timetuple_data.tm_hour) |
|
|||
| 1655 | minute = str(timetuple_data.tm_min) |
|
|||
| 1656 | second = str(timetuple_data.tm_sec) |
|
|||
| 1657 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
|||
| 1658 | f.close() |
|
|||
| 1659 |
|
||||
| 1660 |
|
||||
| 1661 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|||
| 1662 |
|
||||
| 1663 | self.__showprofile = showprofile |
|
|||
| 1664 | self.nplots = nplots |
|
|||
| 1665 |
|
||||
| 1666 | ncolspan = 7 |
|
|||
| 1667 | colspan = 6 |
|
|||
| 1668 | self.__nsubplots = 2 |
|
|||
| 1669 |
|
||||
| 1670 | self.createFigure(id = id, |
|
|||
| 1671 | wintitle = wintitle, |
|
|||
| 1672 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|||
| 1673 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|||
| 1674 | show=show) |
|
|||
| 1675 |
|
||||
| 1676 | nrow, ncol = self.getSubplots() |
|
|||
| 1677 |
|
||||
| 1678 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|||
| 1679 |
|
||||
| 1680 |
|
||||
| 1681 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|||
| 1682 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|||
| 1683 | timerange=None, |
|
|||
| 1684 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|||
| 1685 | server=None, folder=None, username=None, password=None, |
|
|||
| 1686 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|||
| 1687 |
|
||||
| 1688 | if channelList == None: |
|
|||
| 1689 | channelIndexList = dataOut.channelIndexList |
|
|||
| 1690 | channelList = dataOut.channelList |
|
|||
| 1691 | else: |
|
|||
| 1692 | channelIndexList = [] |
|
|||
| 1693 | for channel in channelList: |
|
|||
| 1694 | if channel not in dataOut.channelList: |
|
|||
| 1695 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|||
| 1696 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|||
| 1697 |
|
||||
| 1698 | if timerange != None: |
|
|||
| 1699 | self.timerange = timerange |
|
|||
| 1700 |
|
||||
| 1701 | tmin = None |
|
|||
| 1702 | tmax = None |
|
|||
| 1703 | x = dataOut.getTimeRange() |
|
|||
| 1704 | y = dataOut.getHeiRange() |
|
|||
| 1705 | factor = dataOut.normFactor |
|
|||
| 1706 | noise = dataOut.getNoise()/factor |
|
|||
| 1707 | noisedB = 10*numpy.log10(noise) |
|
|||
| 1708 |
|
||||
| 1709 | #thisDatetime = dataOut.datatime |
|
|||
| 1710 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 1711 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|||
| 1712 | xlabel = "" |
|
|||
| 1713 | ylabel = "Intensity (dB)" |
|
|||
| 1714 |
|
||||
| 1715 | if not self.__isConfig: |
|
|||
| 1716 |
|
||||
| 1717 | nplots = 1 |
|
|||
| 1718 |
|
||||
| 1719 | self.setup(id=id, |
|
|||
| 1720 | nplots=nplots, |
|
|||
| 1721 | wintitle=wintitle, |
|
|||
| 1722 | showprofile=showprofile, |
|
|||
| 1723 | show=show) |
|
|||
| 1724 |
|
||||
| 1725 | tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
|||
| 1726 | if ymin == None: ymin = numpy.nanmin(noisedB) - 10.0 |
|
|||
| 1727 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 |
|
|||
| 1728 |
|
||||
| 1729 | self.FTP_WEI = ftp_wei |
|
|||
| 1730 | self.EXP_CODE = exp_code |
|
|||
| 1731 | self.SUB_EXP_CODE = sub_exp_code |
|
|||
| 1732 | self.PLOT_POS = plot_pos |
|
|||
| 1733 |
|
||||
| 1734 |
|
||||
| 1735 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 1736 | self.__isConfig = True |
|
|||
| 1737 |
|
||||
| 1738 | self.xdata = numpy.array([]) |
|
|||
| 1739 | self.ydata = numpy.array([]) |
|
|||
| 1740 |
|
||||
| 1741 | #open file beacon phase |
|
|||
| 1742 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 1743 | noise_file = os.path.join(path,'%s.txt'%self.name) |
|
|||
| 1744 | self.filename_noise = os.path.join(figpath,noise_file) |
|
|||
| 1745 | self.openfile(self.filename_noise) |
|
|||
| 1746 |
|
||||
| 1747 |
|
||||
| 1748 | #store data beacon phase |
|
|||
| 1749 | self.save_data(self.filename_noise, noisedB, thisDatetime) |
|
|||
| 1750 |
|
||||
| 1751 |
|
||||
| 1752 | self.setWinTitle(title) |
|
|||
| 1753 |
|
||||
| 1754 |
|
||||
| 1755 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|||
| 1756 |
|
||||
| 1757 | legendlabels = ["channel %d"%(idchannel+1) for idchannel in channelList] |
|
|||
| 1758 | axes = self.axesList[0] |
|
|||
| 1759 |
|
||||
| 1760 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|||
| 1761 |
|
||||
| 1762 | if len(self.ydata)==0: |
|
|||
| 1763 | self.ydata = noisedB[channelIndexList].reshape(-1,1) |
|
|||
| 1764 | else: |
|
|||
| 1765 | self.ydata = numpy.hstack((self.ydata, noisedB[channelIndexList].reshape(-1,1))) |
|
|||
| 1766 |
|
||||
| 1767 |
|
||||
| 1768 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|||
| 1769 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, |
|
|||
| 1770 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|||
| 1771 | XAxisAsTime=True, grid='both' |
|
|||
| 1772 | ) |
|
|||
| 1773 |
|
||||
| 1774 | self.draw() |
|
|||
| 1775 |
|
||||
| 1776 | # if save: |
|
|||
| 1777 | # |
|
|||
| 1778 | # if figfile == None: |
|
|||
| 1779 | # figfile = self.getFilename(name = self.name) |
|
|||
| 1780 | # |
|
|||
| 1781 | # self.saveFigure(figpath, figfile) |
|
|||
| 1782 |
|
||||
| 1783 | if save: |
|
|||
| 1784 |
|
||||
| 1785 | self.counter_imagwr += 1 |
|
|||
| 1786 | if (self.counter_imagwr==wr_period): |
|
|||
| 1787 | if figfile == None: |
|
|||
| 1788 | figfile = self.getFilename(name = self.name) |
|
|||
| 1789 | self.saveFigure(figpath, figfile) |
|
|||
| 1790 |
|
||||
| 1791 | if ftp: |
|
|||
| 1792 | #provisionalmente envia archivos en el formato de la web en tiempo real |
|
|||
| 1793 | name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS) |
|
|||
| 1794 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|||
| 1795 | ftp_file = os.path.join(path,'ftp','%s.png'%name) |
|
|||
| 1796 | self.saveFigure(figpath, ftp_file) |
|
|||
| 1797 | ftp_filename = os.path.join(figpath,ftp_file) |
|
|||
| 1798 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 1799 | self.counter_imagwr = 0 |
|
|||
| 1800 |
|
||||
| 1801 | self.counter_imagwr = 0 |
|
|||
| 1802 |
|
||||
| 1803 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
|||
| 1804 | self.__isConfig = False |
|
|||
| 1805 | del self.xdata |
|
|||
| 1806 | del self.ydata |
|
|||
| 1807 |
|
||||
| 1808 |
|
||||
| 1809 | class SpectraHeisScope(Figure): |
|
|||
| 1810 |
|
||||
| 1811 |
|
||||
| 1812 | __isConfig = None |
|
|||
| 1813 | __nsubplots = None |
|
|||
| 1814 |
|
||||
| 1815 | WIDTHPROF = None |
|
|||
| 1816 | HEIGHTPROF = None |
|
|||
| 1817 | PREFIX = 'spc' |
|
|||
| 1818 |
|
||||
| 1819 | def __init__(self): |
|
|||
| 1820 |
|
||||
| 1821 | self.__isConfig = False |
|
|||
| 1822 | self.__nsubplots = 1 |
|
|||
| 1823 |
|
||||
| 1824 | self.WIDTH = 230 |
|
|||
| 1825 | self.HEIGHT = 250 |
|
|||
| 1826 | self.WIDTHPROF = 120 |
|
|||
| 1827 | self.HEIGHTPROF = 0 |
|
|||
| 1828 | self.counter_imagwr = 0 |
|
|||
| 1829 |
|
||||
| 1830 | def getSubplots(self): |
|
|||
| 1831 |
|
||||
| 1832 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|||
| 1833 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|||
| 1834 |
|
||||
| 1835 | return nrow, ncol |
|
|||
| 1836 |
|
||||
| 1837 | def setup(self, id, nplots, wintitle, show): |
|
|||
| 1838 |
|
||||
| 1839 | showprofile = False |
|
|||
| 1840 | self.__showprofile = showprofile |
|
|||
| 1841 | self.nplots = nplots |
|
|||
| 1842 |
|
||||
| 1843 | ncolspan = 1 |
|
|||
| 1844 | colspan = 1 |
|
|||
| 1845 | if showprofile: |
|
|||
| 1846 | ncolspan = 3 |
|
|||
| 1847 | colspan = 2 |
|
|||
| 1848 | self.__nsubplots = 2 |
|
|||
| 1849 |
|
||||
| 1850 | self.createFigure(id = id, |
|
|||
| 1851 | wintitle = wintitle, |
|
|||
| 1852 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|||
| 1853 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|||
| 1854 | show = show) |
|
|||
| 1855 |
|
||||
| 1856 | nrow, ncol = self.getSubplots() |
|
|||
| 1857 |
|
||||
| 1858 | counter = 0 |
|
|||
| 1859 | for y in range(nrow): |
|
|||
| 1860 | for x in range(ncol): |
|
|||
| 1861 |
|
||||
| 1862 | if counter >= self.nplots: |
|
|||
| 1863 | break |
|
|||
| 1864 |
|
||||
| 1865 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|||
| 1866 |
|
||||
| 1867 | if showprofile: |
|
|||
| 1868 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|||
| 1869 |
|
||||
| 1870 | counter += 1 |
|
|||
| 1871 |
|
||||
| 1872 |
|
||||
| 1873 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|||
| 1874 | xmin=None, xmax=None, ymin=None, ymax=None, save=False, |
|
|||
| 1875 | figpath='./', figfile=None, ftp=False, wr_period=1, show=True, |
|
|||
| 1876 | server=None, folder=None, username=None, password=None): |
|
|||
| 1877 |
|
||||
| 1878 | """ |
|
|||
| 1879 |
|
||||
| 1880 | Input: |
|
|||
| 1881 | dataOut : |
|
|||
| 1882 | id : |
|
|||
| 1883 | wintitle : |
|
|||
| 1884 | channelList : |
|
|||
| 1885 | xmin : None, |
|
|||
| 1886 | xmax : None, |
|
|||
| 1887 | ymin : None, |
|
|||
| 1888 | ymax : None, |
|
|||
| 1889 | """ |
|
|||
| 1890 |
|
||||
| 1891 | if dataOut.realtime: |
|
|||
| 1892 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|||
| 1893 | print 'Skipping this plot function' |
|
|||
| 1894 | return |
|
|||
| 1895 |
|
||||
| 1896 | if channelList == None: |
|
|||
| 1897 | channelIndexList = dataOut.channelIndexList |
|
|||
| 1898 | else: |
|
|||
| 1899 | channelIndexList = [] |
|
|||
| 1900 | for channel in channelList: |
|
|||
| 1901 | if channel not in dataOut.channelList: |
|
|||
| 1902 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|||
| 1903 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|||
| 1904 |
|
||||
| 1905 | # x = dataOut.heightList |
|
|||
| 1906 | c = 3E8 |
|
|||
| 1907 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|||
| 1908 | #deberia cambiar para el caso de 1Mhz y 100KHz |
|
|||
| 1909 | x = numpy.arange(-1*dataOut.nHeights/2.,dataOut.nHeights/2.)*(c/(2*deltaHeight*dataOut.nHeights*1000)) |
|
|||
| 1910 | #para 1Mhz descomentar la siguiente linea |
|
|||
| 1911 | #x= x/(10000.0) |
|
|||
| 1912 | # y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
|||
| 1913 | # y = y.real |
|
|||
| 1914 | datadB = 10.*numpy.log10(dataOut.data_spc) |
|
|||
| 1915 | y = datadB |
|
|||
| 1916 |
|
||||
| 1917 | #thisDatetime = dataOut.datatime |
|
|||
| 1918 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 1919 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|||
| 1920 | xlabel = "" |
|
|||
| 1921 | #para 1Mhz descomentar la siguiente linea |
|
|||
| 1922 | #xlabel = "Frequency x 10000" |
|
|||
| 1923 | ylabel = "Intensity (dB)" |
|
|||
| 1924 |
|
||||
| 1925 | if not self.__isConfig: |
|
|||
| 1926 | nplots = len(channelIndexList) |
|
|||
| 1927 |
|
||||
| 1928 | self.setup(id=id, |
|
|||
| 1929 | nplots=nplots, |
|
|||
| 1930 | wintitle=wintitle, |
|
|||
| 1931 | show=show) |
|
|||
| 1932 |
|
||||
| 1933 | if xmin == None: xmin = numpy.nanmin(x) |
|
|||
| 1934 | if xmax == None: xmax = numpy.nanmax(x) |
|
|||
| 1935 | if ymin == None: ymin = numpy.nanmin(y) |
|
|||
| 1936 | if ymax == None: ymax = numpy.nanmax(y) |
|
|||
| 1937 |
|
||||
| 1938 | self.__isConfig = True |
|
|||
| 1939 |
|
||||
| 1940 | self.setWinTitle(title) |
|
|||
| 1941 |
|
||||
| 1942 | for i in range(len(self.axesList)): |
|
|||
| 1943 | ychannel = y[i,:] |
|
|||
| 1944 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|||
| 1945 | title = "Channel %d: %4.2fdB: %s" %(i, numpy.max(ychannel), str_datetime) |
|
|||
| 1946 | axes = self.axesList[i] |
|
|||
| 1947 | axes.pline(x, ychannel, |
|
|||
| 1948 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|||
| 1949 | xlabel=xlabel, ylabel=ylabel, title=title, grid='both') |
|
|||
| 1950 |
|
||||
| 1951 |
|
||||
| 1952 | self.draw() |
|
|||
| 1953 |
|
||||
| 1954 | if save: |
|
|||
| 1955 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 1956 | if figfile == None: |
|
|||
| 1957 | figfile = self.getFilename(name = date) |
|
|||
| 1958 |
|
||||
| 1959 | self.saveFigure(figpath, figfile) |
|
|||
| 1960 |
|
||||
| 1961 | self.counter_imagwr += 1 |
|
|||
| 1962 | if (ftp and (self.counter_imagwr==wr_period)): |
|
|||
| 1963 | ftp_filename = os.path.join(figpath,figfile) |
|
|||
| 1964 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 1965 | self.counter_imagwr = 0 |
|
|||
| 1966 |
|
||||
| 1967 |
|
||||
| 1968 | class RTIfromSpectraHeis(Figure): |
|
|||
| 1969 |
|
||||
| 1970 | __isConfig = None |
|
|||
| 1971 | __nsubplots = None |
|
|||
| 1972 |
|
||||
| 1973 | PREFIX = 'rtinoise' |
|
|||
| 1974 |
|
||||
| 1975 | def __init__(self): |
|
|||
| 1976 |
|
||||
| 1977 | self.timerange = 24*60*60 |
|
|||
| 1978 | self.__isConfig = False |
|
|||
| 1979 | self.__nsubplots = 1 |
|
|||
| 1980 |
|
||||
| 1981 | self.WIDTH = 820 |
|
|||
| 1982 | self.HEIGHT = 200 |
|
|||
| 1983 | self.WIDTHPROF = 120 |
|
|||
| 1984 | self.HEIGHTPROF = 0 |
|
|||
| 1985 | self.counter_imagwr = 0 |
|
|||
| 1986 | self.xdata = None |
|
|||
| 1987 | self.ydata = None |
|
|||
| 1988 |
|
||||
| 1989 | def getSubplots(self): |
|
|||
| 1990 |
|
||||
| 1991 | ncol = 1 |
|
|||
| 1992 | nrow = 1 |
|
|||
| 1993 |
|
||||
| 1994 | return nrow, ncol |
|
|||
| 1995 |
|
||||
| 1996 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|||
| 1997 |
|
||||
| 1998 | self.__showprofile = showprofile |
|
|||
| 1999 | self.nplots = nplots |
|
|||
| 2000 |
|
||||
| 2001 | ncolspan = 7 |
|
|||
| 2002 | colspan = 6 |
|
|||
| 2003 | self.__nsubplots = 2 |
|
|||
| 2004 |
|
||||
| 2005 | self.createFigure(id = id, |
|
|||
| 2006 | wintitle = wintitle, |
|
|||
| 2007 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|||
| 2008 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|||
| 2009 | show = show) |
|
|||
| 2010 |
|
||||
| 2011 | nrow, ncol = self.getSubplots() |
|
|||
| 2012 |
|
||||
| 2013 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|||
| 2014 |
|
||||
| 2015 |
|
||||
| 2016 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|||
| 2017 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|||
| 2018 | timerange=None, |
|
|||
| 2019 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, show=True, |
|
|||
| 2020 | server=None, folder=None, username=None, password=None): |
|
|||
| 2021 |
|
||||
| 2022 | if channelList == None: |
|
|||
| 2023 | channelIndexList = dataOut.channelIndexList |
|
|||
| 2024 | channelList = dataOut.channelList |
|
|||
| 2025 | else: |
|
|||
| 2026 | channelIndexList = [] |
|
|||
| 2027 | for channel in channelList: |
|
|||
| 2028 | if channel not in dataOut.channelList: |
|
|||
| 2029 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|||
| 2030 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|||
| 2031 |
|
||||
| 2032 | if timerange != None: |
|
|||
| 2033 | self.timerange = timerange |
|
|||
| 2034 |
|
||||
| 2035 | tmin = None |
|
|||
| 2036 | tmax = None |
|
|||
| 2037 | x = dataOut.getTimeRange() |
|
|||
| 2038 | y = dataOut.getHeiRange() |
|
|||
| 2039 |
|
||||
| 2040 | #factor = 1 |
|
|||
| 2041 | data = dataOut.data_spc#/factor |
|
|||
| 2042 | data = numpy.average(data,axis=1) |
|
|||
| 2043 | datadB = 10*numpy.log10(data) |
|
|||
| 2044 |
|
||||
| 2045 | # factor = dataOut.normFactor |
|
|||
| 2046 | # noise = dataOut.getNoise()/factor |
|
|||
| 2047 | # noisedB = 10*numpy.log10(noise) |
|
|||
| 2048 |
|
||||
| 2049 | #thisDatetime = dataOut.datatime |
|
|||
| 2050 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1]) |
|
|||
| 2051 | title = wintitle + " RTI: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|||
| 2052 | xlabel = "Local Time" |
|
|||
| 2053 | ylabel = "Intensity (dB)" |
|
|||
| 2054 |
|
||||
| 2055 | if not self.__isConfig: |
|
|||
| 2056 |
|
||||
| 2057 | nplots = 1 |
|
|||
| 2058 |
|
||||
| 2059 | self.setup(id=id, |
|
|||
| 2060 | nplots=nplots, |
|
|||
| 2061 | wintitle=wintitle, |
|
|||
| 2062 | showprofile=showprofile, |
|
|||
| 2063 | show=show) |
|
|||
| 2064 |
|
||||
| 2065 | tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
|||
| 2066 | if ymin == None: ymin = numpy.nanmin(datadB) |
|
|||
| 2067 | if ymax == None: ymax = numpy.nanmax(datadB) |
|
|||
| 2068 |
|
||||
| 2069 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|||
| 2070 | self.__isConfig = True |
|
|||
| 2071 |
|
||||
| 2072 | self.xdata = numpy.array([]) |
|
|||
| 2073 | self.ydata = numpy.array([]) |
|
|||
| 2074 |
|
||||
| 2075 | self.setWinTitle(title) |
|
|||
| 2076 |
|
||||
| 2077 |
|
||||
| 2078 | # title = "RTI %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|||
| 2079 | title = "RTI - %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|||
| 2080 |
|
||||
| 2081 | legendlabels = ["channel %d"%idchannel for idchannel in channelList] |
|
|||
| 2082 | axes = self.axesList[0] |
|
|||
| 2083 |
|
||||
| 2084 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|||
| 2085 |
|
||||
| 2086 | if len(self.ydata)==0: |
|
|||
| 2087 | self.ydata = datadB[channelIndexList].reshape(-1,1) |
|
|||
| 2088 | else: |
|
|||
| 2089 | self.ydata = numpy.hstack((self.ydata, datadB[channelIndexList].reshape(-1,1))) |
|
|||
| 2090 |
|
||||
| 2091 |
|
||||
| 2092 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|||
| 2093 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, |
|
|||
| 2094 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='.', markersize=8, linestyle="solid", grid='both', |
|
|||
| 2095 | XAxisAsTime=True |
|
|||
| 2096 | ) |
|
|||
| 2097 |
|
||||
| 2098 | self.draw() |
|
|||
| 2099 |
|
||||
| 2100 | if save: |
|
|||
| 2101 |
|
||||
| 2102 | if figfile == None: |
|
|||
| 2103 | figfile = self.getFilename(name = self.name) |
|
|||
| 2104 |
|
||||
| 2105 | self.saveFigure(figpath, figfile) |
|
|||
| 2106 |
|
||||
| 2107 | self.counter_imagwr += 1 |
|
|||
| 2108 | if (ftp and (self.counter_imagwr==wr_period)): |
|
|||
| 2109 | ftp_filename = os.path.join(figpath,figfile) |
|
|||
| 2110 | self.sendByFTP_Thread(ftp_filename, server, folder, username, password) |
|
|||
| 2111 | self.counter_imagwr = 0 |
|
|||
| 2112 |
|
||||
| 2113 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
|||
| 2114 | self.__isConfig = False |
|
|||
| 2115 | del self.xdata |
|
|||
| 2116 | del self.ydata |
|
|||
| 2117 |
|
||||
| 2118 |
|
||||
| 2119 | No newline at end of file |
|
|||
| This diff has been collapsed as it changes many lines, (2150 lines changed) Show them Hide them | |||||
| @@ -1,2150 +0,0 | |||||
| 1 | ''' |
|
|||
| 2 |
|
||||
| 3 | $Author: dsuarez $ |
|
|||
| 4 | $Id: Processor.py 1 2012-11-12 18:56:07Z dsuarez $ |
|
|||
| 5 | ''' |
|
|||
| 6 | import os |
|
|||
| 7 | import numpy |
|
|||
| 8 | import datetime |
|
|||
| 9 | import time |
|
|||
| 10 | import math |
|
|||
| 11 | from jrodata import * |
|
|||
| 12 | from jrodataIO import * |
|
|||
| 13 | from jroplot import * |
|
|||
| 14 |
|
||||
| 15 | try: |
|
|||
| 16 | import cfunctions |
|
|||
| 17 | except: |
|
|||
| 18 | pass |
|
|||
| 19 |
|
||||
| 20 | class ProcessingUnit: |
|
|||
| 21 |
|
||||
| 22 | """ |
|
|||
| 23 | Esta es la clase base para el procesamiento de datos. |
|
|||
| 24 |
|
||||
| 25 | Contiene el metodo "call" para llamar operaciones. Las operaciones pueden ser: |
|
|||
| 26 | - Metodos internos (callMethod) |
|
|||
| 27 | - Objetos del tipo Operation (callObject). Antes de ser llamados, estos objetos |
|
|||
| 28 | tienen que ser agreagados con el metodo "add". |
|
|||
| 29 |
|
||||
| 30 | """ |
|
|||
| 31 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
|||
| 32 | dataIn = None |
|
|||
| 33 |
|
||||
| 34 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
|||
| 35 | dataOut = None |
|
|||
| 36 |
|
||||
| 37 |
|
||||
| 38 | objectDict = None |
|
|||
| 39 |
|
||||
| 40 | def __init__(self): |
|
|||
| 41 |
|
||||
| 42 | self.objectDict = {} |
|
|||
| 43 |
|
||||
| 44 | def init(self): |
|
|||
| 45 |
|
||||
| 46 | raise ValueError, "Not implemented" |
|
|||
| 47 |
|
||||
| 48 | def addOperation(self, object, objId): |
|
|||
| 49 |
|
||||
| 50 | """ |
|
|||
| 51 | Agrega el objeto "object" a la lista de objetos "self.objectList" y retorna el |
|
|||
| 52 | identificador asociado a este objeto. |
|
|||
| 53 |
|
||||
| 54 | Input: |
|
|||
| 55 |
|
||||
| 56 | object : objeto de la clase "Operation" |
|
|||
| 57 |
|
||||
| 58 | Return: |
|
|||
| 59 |
|
||||
| 60 | objId : identificador del objeto, necesario para ejecutar la operacion |
|
|||
| 61 | """ |
|
|||
| 62 |
|
||||
| 63 | self.objectDict[objId] = object |
|
|||
| 64 |
|
||||
| 65 | return objId |
|
|||
| 66 |
|
||||
| 67 | def operation(self, **kwargs): |
|
|||
| 68 |
|
||||
| 69 | """ |
|
|||
| 70 | Operacion directa sobre la data (dataOut.data). Es necesario actualizar los valores de los |
|
|||
| 71 | atributos del objeto dataOut |
|
|||
| 72 |
|
||||
| 73 | Input: |
|
|||
| 74 |
|
||||
| 75 | **kwargs : Diccionario de argumentos de la funcion a ejecutar |
|
|||
| 76 | """ |
|
|||
| 77 |
|
||||
| 78 | raise ValueError, "ImplementedError" |
|
|||
| 79 |
|
||||
| 80 | def callMethod(self, name, **kwargs): |
|
|||
| 81 |
|
||||
| 82 | """ |
|
|||
| 83 | Ejecuta el metodo con el nombre "name" y con argumentos **kwargs de la propia clase. |
|
|||
| 84 |
|
||||
| 85 | Input: |
|
|||
| 86 | name : nombre del metodo a ejecutar |
|
|||
| 87 |
|
||||
| 88 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
|||
| 89 |
|
||||
| 90 | """ |
|
|||
| 91 | if name != 'run': |
|
|||
| 92 |
|
||||
| 93 | if name == 'init' and self.dataIn.isEmpty(): |
|
|||
| 94 | self.dataOut.flagNoData = True |
|
|||
| 95 | return False |
|
|||
| 96 |
|
||||
| 97 | if name != 'init' and self.dataOut.isEmpty(): |
|
|||
| 98 | return False |
|
|||
| 99 |
|
||||
| 100 | methodToCall = getattr(self, name) |
|
|||
| 101 |
|
||||
| 102 | methodToCall(**kwargs) |
|
|||
| 103 |
|
||||
| 104 | if name != 'run': |
|
|||
| 105 | return True |
|
|||
| 106 |
|
||||
| 107 | if self.dataOut.isEmpty(): |
|
|||
| 108 | return False |
|
|||
| 109 |
|
||||
| 110 | return True |
|
|||
| 111 |
|
||||
| 112 | def callObject(self, objId, **kwargs): |
|
|||
| 113 |
|
||||
| 114 | """ |
|
|||
| 115 | Ejecuta la operacion asociada al identificador del objeto "objId" |
|
|||
| 116 |
|
||||
| 117 | Input: |
|
|||
| 118 |
|
||||
| 119 | objId : identificador del objeto a ejecutar |
|
|||
| 120 |
|
||||
| 121 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
|||
| 122 |
|
||||
| 123 | Return: |
|
|||
| 124 |
|
||||
| 125 | None |
|
|||
| 126 | """ |
|
|||
| 127 |
|
||||
| 128 | if self.dataOut.isEmpty(): |
|
|||
| 129 | return False |
|
|||
| 130 |
|
||||
| 131 | object = self.objectDict[objId] |
|
|||
| 132 |
|
||||
| 133 | object.run(self.dataOut, **kwargs) |
|
|||
| 134 |
|
||||
| 135 | return True |
|
|||
| 136 |
|
||||
| 137 | def call(self, operationConf, **kwargs): |
|
|||
| 138 |
|
||||
| 139 | """ |
|
|||
| 140 | Return True si ejecuta la operacion "operationConf.name" con los |
|
|||
| 141 | argumentos "**kwargs". False si la operacion no se ha ejecutado. |
|
|||
| 142 | La operacion puede ser de dos tipos: |
|
|||
| 143 |
|
||||
| 144 | 1. Un metodo propio de esta clase: |
|
|||
| 145 |
|
||||
| 146 | operation.type = "self" |
|
|||
| 147 |
|
||||
| 148 | 2. El metodo "run" de un objeto del tipo Operation o de un derivado de ella: |
|
|||
| 149 | operation.type = "other". |
|
|||
| 150 |
|
||||
| 151 | Este objeto de tipo Operation debe de haber sido agregado antes con el metodo: |
|
|||
| 152 | "addOperation" e identificado con el operation.id |
|
|||
| 153 |
|
||||
| 154 |
|
||||
| 155 | con el id de la operacion. |
|
|||
| 156 |
|
||||
| 157 | Input: |
|
|||
| 158 |
|
||||
| 159 | Operation : Objeto del tipo operacion con los atributos: name, type y id. |
|
|||
| 160 |
|
||||
| 161 | """ |
|
|||
| 162 |
|
||||
| 163 | if operationConf.type == 'self': |
|
|||
| 164 | sts = self.callMethod(operationConf.name, **kwargs) |
|
|||
| 165 |
|
||||
| 166 | if operationConf.type == 'other': |
|
|||
| 167 | sts = self.callObject(operationConf.id, **kwargs) |
|
|||
| 168 |
|
||||
| 169 | return sts |
|
|||
| 170 |
|
||||
| 171 | def setInput(self, dataIn): |
|
|||
| 172 |
|
||||
| 173 | self.dataIn = dataIn |
|
|||
| 174 |
|
||||
| 175 | def getOutput(self): |
|
|||
| 176 |
|
||||
| 177 | return self.dataOut |
|
|||
| 178 |
|
||||
| 179 | class Operation(): |
|
|||
| 180 |
|
||||
| 181 | """ |
|
|||
| 182 | Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit |
|
|||
| 183 | y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de |
|
|||
| 184 | acumulacion dentro de esta clase |
|
|||
| 185 |
|
||||
| 186 | Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer) |
|
|||
| 187 |
|
||||
| 188 | """ |
|
|||
| 189 |
|
||||
| 190 | __buffer = None |
|
|||
| 191 | __isConfig = False |
|
|||
| 192 |
|
||||
| 193 | def __init__(self): |
|
|||
| 194 |
|
||||
| 195 | pass |
|
|||
| 196 |
|
||||
| 197 | def run(self, dataIn, **kwargs): |
|
|||
| 198 |
|
||||
| 199 | """ |
|
|||
| 200 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los atributos del objeto dataIn. |
|
|||
| 201 |
|
||||
| 202 | Input: |
|
|||
| 203 |
|
||||
| 204 | dataIn : objeto del tipo JROData |
|
|||
| 205 |
|
||||
| 206 | Return: |
|
|||
| 207 |
|
||||
| 208 | None |
|
|||
| 209 |
|
||||
| 210 | Affected: |
|
|||
| 211 | __buffer : buffer de recepcion de datos. |
|
|||
| 212 |
|
||||
| 213 | """ |
|
|||
| 214 |
|
||||
| 215 | raise ValueError, "ImplementedError" |
|
|||
| 216 |
|
||||
| 217 | class VoltageProc(ProcessingUnit): |
|
|||
| 218 |
|
||||
| 219 |
|
||||
| 220 | def __init__(self): |
|
|||
| 221 |
|
||||
| 222 | self.objectDict = {} |
|
|||
| 223 | self.dataOut = Voltage() |
|
|||
| 224 | self.flip = 1 |
|
|||
| 225 |
|
||||
| 226 | def __updateObjFromAmisrInput(self): |
|
|||
| 227 |
|
||||
| 228 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|||
| 229 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|||
| 230 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|||
| 231 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|||
| 232 |
|
||||
| 233 | self.dataOut.flagNoData = self.dataIn.flagNoData |
|
|||
| 234 | self.dataOut.data = self.dataIn.data |
|
|||
| 235 | self.dataOut.utctime = self.dataIn.utctime |
|
|||
| 236 | self.dataOut.channelList = self.dataIn.channelList |
|
|||
| 237 | self.dataOut.timeInterval = self.dataIn.timeInterval |
|
|||
| 238 | self.dataOut.heightList = self.dataIn.heightList |
|
|||
| 239 | self.dataOut.nProfiles = self.dataIn.nProfiles |
|
|||
| 240 |
|
||||
| 241 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|||
| 242 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
|||
| 243 | self.dataOut.frequency = self.dataIn.frequency |
|
|||
| 244 |
|
||||
| 245 | pass |
|
|||
| 246 |
|
||||
| 247 | def init(self): |
|
|||
| 248 |
|
||||
| 249 |
|
||||
| 250 | if self.dataIn.type == 'AMISR': |
|
|||
| 251 | self.__updateObjFromAmisrInput() |
|
|||
| 252 |
|
||||
| 253 | if self.dataIn.type == 'Voltage': |
|
|||
| 254 | self.dataOut.copy(self.dataIn) |
|
|||
| 255 | # No necesita copiar en cada init() los atributos de dataIn |
|
|||
| 256 | # la copia deberia hacerse por cada nuevo bloque de datos |
|
|||
| 257 |
|
||||
| 258 | def selectChannels(self, channelList): |
|
|||
| 259 |
|
||||
| 260 | channelIndexList = [] |
|
|||
| 261 |
|
||||
| 262 | for channel in channelList: |
|
|||
| 263 | index = self.dataOut.channelList.index(channel) |
|
|||
| 264 | channelIndexList.append(index) |
|
|||
| 265 |
|
||||
| 266 | self.selectChannelsByIndex(channelIndexList) |
|
|||
| 267 |
|
||||
| 268 | def selectChannelsByIndex(self, channelIndexList): |
|
|||
| 269 | """ |
|
|||
| 270 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|||
| 271 |
|
||||
| 272 | Input: |
|
|||
| 273 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|||
| 274 |
|
||||
| 275 | Affected: |
|
|||
| 276 | self.dataOut.data |
|
|||
| 277 | self.dataOut.channelIndexList |
|
|||
| 278 | self.dataOut.nChannels |
|
|||
| 279 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
|||
| 280 | self.dataOut.systemHeaderObj.numChannels |
|
|||
| 281 | self.dataOut.m_ProcessingHeader.blockSize |
|
|||
| 282 |
|
||||
| 283 | Return: |
|
|||
| 284 | None |
|
|||
| 285 | """ |
|
|||
| 286 |
|
||||
| 287 | for channelIndex in channelIndexList: |
|
|||
| 288 | if channelIndex not in self.dataOut.channelIndexList: |
|
|||
| 289 | print channelIndexList |
|
|||
| 290 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
|||
| 291 |
|
||||
| 292 | nChannels = len(channelIndexList) |
|
|||
| 293 |
|
||||
| 294 | data = self.dataOut.data[channelIndexList,:] |
|
|||
| 295 |
|
||||
| 296 | self.dataOut.data = data |
|
|||
| 297 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|||
| 298 | # self.dataOut.nChannels = nChannels |
|
|||
| 299 |
|
||||
| 300 | return 1 |
|
|||
| 301 |
|
||||
| 302 | def selectHeights(self, minHei=None, maxHei=None): |
|
|||
| 303 | """ |
|
|||
| 304 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|||
| 305 | minHei <= height <= maxHei |
|
|||
| 306 |
|
||||
| 307 | Input: |
|
|||
| 308 | minHei : valor minimo de altura a considerar |
|
|||
| 309 | maxHei : valor maximo de altura a considerar |
|
|||
| 310 |
|
||||
| 311 | Affected: |
|
|||
| 312 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|||
| 313 |
|
||||
| 314 | Return: |
|
|||
| 315 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|||
| 316 | """ |
|
|||
| 317 |
|
||||
| 318 | if minHei == None: |
|
|||
| 319 | minHei = self.dataOut.heightList[0] |
|
|||
| 320 |
|
||||
| 321 | if maxHei == None: |
|
|||
| 322 | maxHei = self.dataOut.heightList[-1] |
|
|||
| 323 |
|
||||
| 324 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|||
| 325 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|||
| 326 |
|
||||
| 327 |
|
||||
| 328 | if (maxHei > self.dataOut.heightList[-1]): |
|
|||
| 329 | maxHei = self.dataOut.heightList[-1] |
|
|||
| 330 | # raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|||
| 331 |
|
||||
| 332 | minIndex = 0 |
|
|||
| 333 | maxIndex = 0 |
|
|||
| 334 | heights = self.dataOut.heightList |
|
|||
| 335 |
|
||||
| 336 | inda = numpy.where(heights >= minHei) |
|
|||
| 337 | indb = numpy.where(heights <= maxHei) |
|
|||
| 338 |
|
||||
| 339 | try: |
|
|||
| 340 | minIndex = inda[0][0] |
|
|||
| 341 | except: |
|
|||
| 342 | minIndex = 0 |
|
|||
| 343 |
|
||||
| 344 | try: |
|
|||
| 345 | maxIndex = indb[0][-1] |
|
|||
| 346 | except: |
|
|||
| 347 | maxIndex = len(heights) |
|
|||
| 348 |
|
||||
| 349 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
|||
| 350 |
|
||||
| 351 | return 1 |
|
|||
| 352 |
|
||||
| 353 |
|
||||
| 354 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|||
| 355 | """ |
|
|||
| 356 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|||
| 357 | minIndex <= index <= maxIndex |
|
|||
| 358 |
|
||||
| 359 | Input: |
|
|||
| 360 | minIndex : valor de indice minimo de altura a considerar |
|
|||
| 361 | maxIndex : valor de indice maximo de altura a considerar |
|
|||
| 362 |
|
||||
| 363 | Affected: |
|
|||
| 364 | self.dataOut.data |
|
|||
| 365 | self.dataOut.heightList |
|
|||
| 366 |
|
||||
| 367 | Return: |
|
|||
| 368 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|||
| 369 | """ |
|
|||
| 370 |
|
||||
| 371 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|||
| 372 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|||
| 373 |
|
||||
| 374 | if (maxIndex >= self.dataOut.nHeights): |
|
|||
| 375 | maxIndex = self.dataOut.nHeights-1 |
|
|||
| 376 | # raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|||
| 377 |
|
||||
| 378 | nHeights = maxIndex - minIndex + 1 |
|
|||
| 379 |
|
||||
| 380 | #voltage |
|
|||
| 381 | data = self.dataOut.data[:,minIndex:maxIndex+1] |
|
|||
| 382 |
|
||||
| 383 | firstHeight = self.dataOut.heightList[minIndex] |
|
|||
| 384 |
|
||||
| 385 | self.dataOut.data = data |
|
|||
| 386 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|||
| 387 |
|
||||
| 388 | return 1 |
|
|||
| 389 |
|
||||
| 390 |
|
||||
| 391 | def filterByHeights(self, window): |
|
|||
| 392 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|||
| 393 |
|
||||
| 394 | if window == None: |
|
|||
| 395 | window = (self.dataOut.radarControllerHeaderObj.txA/self.dataOut.radarControllerHeaderObj.nBaud) / deltaHeight |
|
|||
| 396 |
|
||||
| 397 | newdelta = deltaHeight * window |
|
|||
| 398 | r = self.dataOut.data.shape[1] % window |
|
|||
| 399 | buffer = self.dataOut.data[:,0:self.dataOut.data.shape[1]-r] |
|
|||
| 400 | buffer = buffer.reshape(self.dataOut.data.shape[0],self.dataOut.data.shape[1]/window,window) |
|
|||
| 401 | buffer = numpy.sum(buffer,2) |
|
|||
| 402 | self.dataOut.data = buffer |
|
|||
| 403 | self.dataOut.heightList = numpy.arange(self.dataOut.heightList[0],newdelta*(self.dataOut.nHeights-r)/window,newdelta) |
|
|||
| 404 | self.dataOut.windowOfFilter = window |
|
|||
| 405 |
|
||||
| 406 | def deFlip(self): |
|
|||
| 407 | self.dataOut.data *= self.flip |
|
|||
| 408 | self.flip *= -1. |
|
|||
| 409 |
|
||||
| 410 | def setRadarFrequency(self, frequency=None): |
|
|||
| 411 | if frequency != None: |
|
|||
| 412 | self.dataOut.frequency = frequency |
|
|||
| 413 |
|
||||
| 414 | return 1 |
|
|||
| 415 |
|
||||
| 416 | class CohInt(Operation): |
|
|||
| 417 |
|
||||
| 418 | __isConfig = False |
|
|||
| 419 |
|
||||
| 420 | __profIndex = 0 |
|
|||
| 421 | __withOverapping = False |
|
|||
| 422 |
|
||||
| 423 | __byTime = False |
|
|||
| 424 | __initime = None |
|
|||
| 425 | __lastdatatime = None |
|
|||
| 426 | __integrationtime = None |
|
|||
| 427 |
|
||||
| 428 | __buffer = None |
|
|||
| 429 |
|
||||
| 430 | __dataReady = False |
|
|||
| 431 |
|
||||
| 432 | n = None |
|
|||
| 433 |
|
||||
| 434 |
|
||||
| 435 | def __init__(self): |
|
|||
| 436 |
|
||||
| 437 | self.__isConfig = False |
|
|||
| 438 |
|
||||
| 439 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|||
| 440 | """ |
|
|||
| 441 | Set the parameters of the integration class. |
|
|||
| 442 |
|
||||
| 443 | Inputs: |
|
|||
| 444 |
|
||||
| 445 | n : Number of coherent integrations |
|
|||
| 446 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|||
| 447 | overlapping : |
|
|||
| 448 |
|
||||
| 449 | """ |
|
|||
| 450 |
|
||||
| 451 | self.__initime = None |
|
|||
| 452 | self.__lastdatatime = 0 |
|
|||
| 453 | self.__buffer = None |
|
|||
| 454 | self.__dataReady = False |
|
|||
| 455 |
|
||||
| 456 |
|
||||
| 457 | if n == None and timeInterval == None: |
|
|||
| 458 | raise ValueError, "n or timeInterval should be specified ..." |
|
|||
| 459 |
|
||||
| 460 | if n != None: |
|
|||
| 461 | self.n = n |
|
|||
| 462 | self.__byTime = False |
|
|||
| 463 | else: |
|
|||
| 464 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line |
|
|||
| 465 | self.n = 9999 |
|
|||
| 466 | self.__byTime = True |
|
|||
| 467 |
|
||||
| 468 | if overlapping: |
|
|||
| 469 | self.__withOverapping = True |
|
|||
| 470 | self.__buffer = None |
|
|||
| 471 | else: |
|
|||
| 472 | self.__withOverapping = False |
|
|||
| 473 | self.__buffer = 0 |
|
|||
| 474 |
|
||||
| 475 | self.__profIndex = 0 |
|
|||
| 476 |
|
||||
| 477 | def putData(self, data): |
|
|||
| 478 |
|
||||
| 479 | """ |
|
|||
| 480 | Add a profile to the __buffer and increase in one the __profileIndex |
|
|||
| 481 |
|
||||
| 482 | """ |
|
|||
| 483 |
|
||||
| 484 | if not self.__withOverapping: |
|
|||
| 485 | self.__buffer += data.copy() |
|
|||
| 486 | self.__profIndex += 1 |
|
|||
| 487 | return |
|
|||
| 488 |
|
||||
| 489 | #Overlapping data |
|
|||
| 490 | nChannels, nHeis = data.shape |
|
|||
| 491 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
|||
| 492 |
|
||||
| 493 | #If the buffer is empty then it takes the data value |
|
|||
| 494 | if self.__buffer == None: |
|
|||
| 495 | self.__buffer = data |
|
|||
| 496 | self.__profIndex += 1 |
|
|||
| 497 | return |
|
|||
| 498 |
|
||||
| 499 | #If the buffer length is lower than n then stakcing the data value |
|
|||
| 500 | if self.__profIndex < self.n: |
|
|||
| 501 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
|||
| 502 | self.__profIndex += 1 |
|
|||
| 503 | return |
|
|||
| 504 |
|
||||
| 505 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|||
| 506 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
|||
| 507 | self.__buffer[self.n-1] = data |
|
|||
| 508 | self.__profIndex = self.n |
|
|||
| 509 | return |
|
|||
| 510 |
|
||||
| 511 |
|
||||
| 512 | def pushData(self): |
|
|||
| 513 | """ |
|
|||
| 514 | Return the sum of the last profiles and the profiles used in the sum. |
|
|||
| 515 |
|
||||
| 516 | Affected: |
|
|||
| 517 |
|
||||
| 518 | self.__profileIndex |
|
|||
| 519 |
|
||||
| 520 | """ |
|
|||
| 521 |
|
||||
| 522 | if not self.__withOverapping: |
|
|||
| 523 | data = self.__buffer |
|
|||
| 524 | n = self.__profIndex |
|
|||
| 525 |
|
||||
| 526 | self.__buffer = 0 |
|
|||
| 527 | self.__profIndex = 0 |
|
|||
| 528 |
|
||||
| 529 | return data, n |
|
|||
| 530 |
|
||||
| 531 | #Integration with Overlapping |
|
|||
| 532 | data = numpy.sum(self.__buffer, axis=0) |
|
|||
| 533 | n = self.__profIndex |
|
|||
| 534 |
|
||||
| 535 | return data, n |
|
|||
| 536 |
|
||||
| 537 | def byProfiles(self, data): |
|
|||
| 538 |
|
||||
| 539 | self.__dataReady = False |
|
|||
| 540 | avgdata = None |
|
|||
| 541 | n = None |
|
|||
| 542 |
|
||||
| 543 | self.putData(data) |
|
|||
| 544 |
|
||||
| 545 | if self.__profIndex == self.n: |
|
|||
| 546 |
|
||||
| 547 | avgdata, n = self.pushData() |
|
|||
| 548 | self.__dataReady = True |
|
|||
| 549 |
|
||||
| 550 | return avgdata |
|
|||
| 551 |
|
||||
| 552 | def byTime(self, data, datatime): |
|
|||
| 553 |
|
||||
| 554 | self.__dataReady = False |
|
|||
| 555 | avgdata = None |
|
|||
| 556 | n = None |
|
|||
| 557 |
|
||||
| 558 | self.putData(data) |
|
|||
| 559 |
|
||||
| 560 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|||
| 561 | avgdata, n = self.pushData() |
|
|||
| 562 | self.n = n |
|
|||
| 563 | self.__dataReady = True |
|
|||
| 564 |
|
||||
| 565 | return avgdata |
|
|||
| 566 |
|
||||
| 567 | def integrate(self, data, datatime=None): |
|
|||
| 568 |
|
||||
| 569 | if self.__initime == None: |
|
|||
| 570 | self.__initime = datatime |
|
|||
| 571 |
|
||||
| 572 | if self.__byTime: |
|
|||
| 573 | avgdata = self.byTime(data, datatime) |
|
|||
| 574 | else: |
|
|||
| 575 | avgdata = self.byProfiles(data) |
|
|||
| 576 |
|
||||
| 577 |
|
||||
| 578 | self.__lastdatatime = datatime |
|
|||
| 579 |
|
||||
| 580 | if avgdata == None: |
|
|||
| 581 | return None, None |
|
|||
| 582 |
|
||||
| 583 | avgdatatime = self.__initime |
|
|||
| 584 |
|
||||
| 585 | deltatime = datatime -self.__lastdatatime |
|
|||
| 586 |
|
||||
| 587 | if not self.__withOverapping: |
|
|||
| 588 | self.__initime = datatime |
|
|||
| 589 | else: |
|
|||
| 590 | self.__initime += deltatime |
|
|||
| 591 |
|
||||
| 592 | return avgdata, avgdatatime |
|
|||
| 593 |
|
||||
| 594 | def run(self, dataOut, **kwargs): |
|
|||
| 595 |
|
||||
| 596 | if not self.__isConfig: |
|
|||
| 597 | self.setup(**kwargs) |
|
|||
| 598 | self.__isConfig = True |
|
|||
| 599 |
|
||||
| 600 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) |
|
|||
| 601 |
|
||||
| 602 | # dataOut.timeInterval *= n |
|
|||
| 603 | dataOut.flagNoData = True |
|
|||
| 604 |
|
||||
| 605 | if self.__dataReady: |
|
|||
| 606 | dataOut.data = avgdata |
|
|||
| 607 | dataOut.nCohInt *= self.n |
|
|||
| 608 | dataOut.utctime = avgdatatime |
|
|||
| 609 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt |
|
|||
| 610 | dataOut.flagNoData = False |
|
|||
| 611 |
|
||||
| 612 |
|
||||
| 613 | class Decoder(Operation): |
|
|||
| 614 |
|
||||
| 615 | __isConfig = False |
|
|||
| 616 | __profIndex = 0 |
|
|||
| 617 |
|
||||
| 618 | code = None |
|
|||
| 619 |
|
||||
| 620 | nCode = None |
|
|||
| 621 | nBaud = None |
|
|||
| 622 |
|
||||
| 623 | def __init__(self): |
|
|||
| 624 |
|
||||
| 625 | self.__isConfig = False |
|
|||
| 626 |
|
||||
| 627 | def setup(self, code, shape): |
|
|||
| 628 |
|
||||
| 629 | self.__profIndex = 0 |
|
|||
| 630 |
|
||||
| 631 | self.code = code |
|
|||
| 632 |
|
||||
| 633 | self.nCode = len(code) |
|
|||
| 634 | self.nBaud = len(code[0]) |
|
|||
| 635 |
|
||||
| 636 | self.__nChannels, self.__nHeis = shape |
|
|||
| 637 |
|
||||
| 638 | __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex) |
|
|||
| 639 |
|
||||
| 640 | __codeBuffer[:,0:self.nBaud] = self.code |
|
|||
| 641 |
|
||||
| 642 | self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1)) |
|
|||
| 643 |
|
||||
| 644 | self.ndatadec = self.__nHeis - self.nBaud + 1 |
|
|||
| 645 |
|
||||
| 646 | self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex) |
|
|||
| 647 |
|
||||
| 648 | def convolutionInFreq(self, data): |
|
|||
| 649 |
|
||||
| 650 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|||
| 651 |
|
||||
| 652 | fft_data = numpy.fft.fft(data, axis=1) |
|
|||
| 653 |
|
||||
| 654 | conv = fft_data*fft_code |
|
|||
| 655 |
|
||||
| 656 | data = numpy.fft.ifft(conv,axis=1) |
|
|||
| 657 |
|
||||
| 658 | datadec = data[:,:-self.nBaud+1] |
|
|||
| 659 |
|
||||
| 660 | return datadec |
|
|||
| 661 |
|
||||
| 662 | def convolutionInFreqOpt(self, data): |
|
|||
| 663 |
|
||||
| 664 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|||
| 665 |
|
||||
| 666 | data = cfunctions.decoder(fft_code, data) |
|
|||
| 667 |
|
||||
| 668 | datadec = data[:,:-self.nBaud+1] |
|
|||
| 669 |
|
||||
| 670 | return datadec |
|
|||
| 671 |
|
||||
| 672 | def convolutionInTime(self, data): |
|
|||
| 673 |
|
||||
| 674 | code = self.code[self.__profIndex] |
|
|||
| 675 |
|
||||
| 676 | for i in range(self.__nChannels): |
|
|||
| 677 | self.datadecTime[i,:] = numpy.correlate(data[i,:], code, mode='valid') |
|
|||
| 678 |
|
||||
| 679 | return self.datadecTime |
|
|||
| 680 |
|
||||
| 681 | def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0): |
|
|||
| 682 |
|
||||
| 683 | if code == None: |
|
|||
| 684 | code = dataOut.code |
|
|||
| 685 | else: |
|
|||
| 686 | code = numpy.array(code).reshape(nCode,nBaud) |
|
|||
| 687 | dataOut.code = code |
|
|||
| 688 | dataOut.nCode = nCode |
|
|||
| 689 | dataOut.nBaud = nBaud |
|
|||
| 690 | dataOut.radarControllerHeaderObj.code = code |
|
|||
| 691 | dataOut.radarControllerHeaderObj.nCode = nCode |
|
|||
| 692 | dataOut.radarControllerHeaderObj.nBaud = nBaud |
|
|||
| 693 |
|
||||
| 694 |
|
||||
| 695 | if not self.__isConfig: |
|
|||
| 696 |
|
||||
| 697 | self.setup(code, dataOut.data.shape) |
|
|||
| 698 | self.__isConfig = True |
|
|||
| 699 |
|
||||
| 700 | if mode == 0: |
|
|||
| 701 | datadec = self.convolutionInTime(dataOut.data) |
|
|||
| 702 |
|
||||
| 703 | if mode == 1: |
|
|||
| 704 | datadec = self.convolutionInFreq(dataOut.data) |
|
|||
| 705 |
|
||||
| 706 | if mode == 2: |
|
|||
| 707 | datadec = self.convolutionInFreqOpt(dataOut.data) |
|
|||
| 708 |
|
||||
| 709 | dataOut.data = datadec |
|
|||
| 710 |
|
||||
| 711 | dataOut.heightList = dataOut.heightList[0:self.ndatadec] |
|
|||
| 712 |
|
||||
| 713 | dataOut.flagDecodeData = True #asumo q la data no esta decodificada |
|
|||
| 714 |
|
||||
| 715 | if self.__profIndex == self.nCode-1: |
|
|||
| 716 | self.__profIndex = 0 |
|
|||
| 717 | return 1 |
|
|||
| 718 |
|
||||
| 719 | self.__profIndex += 1 |
|
|||
| 720 |
|
||||
| 721 | return 1 |
|
|||
| 722 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip |
|
|||
| 723 |
|
||||
| 724 |
|
||||
| 725 |
|
||||
| 726 | class SpectraProc(ProcessingUnit): |
|
|||
| 727 |
|
||||
| 728 | def __init__(self): |
|
|||
| 729 |
|
||||
| 730 | self.objectDict = {} |
|
|||
| 731 | self.buffer = None |
|
|||
| 732 | self.firstdatatime = None |
|
|||
| 733 | self.profIndex = 0 |
|
|||
| 734 | self.dataOut = Spectra() |
|
|||
| 735 |
|
||||
| 736 | def __updateObjFromInput(self): |
|
|||
| 737 |
|
||||
| 738 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|||
| 739 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|||
| 740 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|||
| 741 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|||
| 742 |
|
||||
| 743 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
|||
| 744 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
|||
| 745 | self.dataOut.channelList = self.dataIn.channelList |
|
|||
| 746 | self.dataOut.heightList = self.dataIn.heightList |
|
|||
| 747 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|||
| 748 | # self.dataOut.nHeights = self.dataIn.nHeights |
|
|||
| 749 | # self.dataOut.nChannels = self.dataIn.nChannels |
|
|||
| 750 | self.dataOut.nBaud = self.dataIn.nBaud |
|
|||
| 751 | self.dataOut.nCode = self.dataIn.nCode |
|
|||
| 752 | self.dataOut.code = self.dataIn.code |
|
|||
| 753 | self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
|||
| 754 | # self.dataOut.channelIndexList = self.dataIn.channelIndexList |
|
|||
| 755 | self.dataOut.flagTimeBlock = self.dataIn.flagTimeBlock |
|
|||
| 756 | self.dataOut.utctime = self.firstdatatime |
|
|||
| 757 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
|||
| 758 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
|||
| 759 | # self.dataOut.flagShiftFFT = self.dataIn.flagShiftFFT |
|
|||
| 760 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|||
| 761 | self.dataOut.nIncohInt = 1 |
|
|||
| 762 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
|||
| 763 | self.dataOut.windowOfFilter = self.dataIn.windowOfFilter |
|
|||
| 764 |
|
||||
| 765 | self.dataOut.timeInterval = self.dataIn.timeInterval*self.dataOut.nFFTPoints*self.dataOut.nIncohInt |
|
|||
| 766 | self.dataOut.frequency = self.dataIn.frequency |
|
|||
| 767 | self.dataOut.realtime = self.dataIn.realtime |
|
|||
| 768 |
|
||||
| 769 | def __getFft(self): |
|
|||
| 770 | """ |
|
|||
| 771 | Convierte valores de Voltaje a Spectra |
|
|||
| 772 |
|
||||
| 773 | Affected: |
|
|||
| 774 | self.dataOut.data_spc |
|
|||
| 775 | self.dataOut.data_cspc |
|
|||
| 776 | self.dataOut.data_dc |
|
|||
| 777 | self.dataOut.heightList |
|
|||
| 778 | self.profIndex |
|
|||
| 779 | self.buffer |
|
|||
| 780 | self.dataOut.flagNoData |
|
|||
| 781 | """ |
|
|||
| 782 | fft_volt = numpy.fft.fft(self.buffer,n=self.dataOut.nFFTPoints,axis=1) |
|
|||
| 783 | fft_volt = fft_volt.astype(numpy.dtype('complex')) |
|
|||
| 784 | dc = fft_volt[:,0,:] |
|
|||
| 785 |
|
||||
| 786 | #calculo de self-spectra |
|
|||
| 787 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
|
|||
| 788 | spc = fft_volt * numpy.conjugate(fft_volt) |
|
|||
| 789 | spc = spc.real |
|
|||
| 790 |
|
||||
| 791 | blocksize = 0 |
|
|||
| 792 | blocksize += dc.size |
|
|||
| 793 | blocksize += spc.size |
|
|||
| 794 |
|
||||
| 795 | cspc = None |
|
|||
| 796 | pairIndex = 0 |
|
|||
| 797 | if self.dataOut.pairsList != None: |
|
|||
| 798 | #calculo de cross-spectra |
|
|||
| 799 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') |
|
|||
| 800 | for pair in self.dataOut.pairsList: |
|
|||
| 801 | cspc[pairIndex,:,:] = fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]) |
|
|||
| 802 | pairIndex += 1 |
|
|||
| 803 | blocksize += cspc.size |
|
|||
| 804 |
|
||||
| 805 | self.dataOut.data_spc = spc |
|
|||
| 806 | self.dataOut.data_cspc = cspc |
|
|||
| 807 | self.dataOut.data_dc = dc |
|
|||
| 808 | self.dataOut.blockSize = blocksize |
|
|||
| 809 | self.dataOut.flagShiftFFT = False |
|
|||
| 810 |
|
||||
| 811 | def init(self, nProfiles=None, nFFTPoints=None, pairsList=None, ippFactor=None): |
|
|||
| 812 |
|
||||
| 813 | self.dataOut.flagNoData = True |
|
|||
| 814 |
|
||||
| 815 | if self.dataIn.type == "Spectra": |
|
|||
| 816 | self.dataOut.copy(self.dataIn) |
|
|||
| 817 | return |
|
|||
| 818 |
|
||||
| 819 | if self.dataIn.type == "Voltage": |
|
|||
| 820 |
|
||||
| 821 | if nFFTPoints == None: |
|
|||
| 822 | raise ValueError, "This SpectraProc.init() need nFFTPoints input variable" |
|
|||
| 823 |
|
||||
| 824 | if pairsList == None: |
|
|||
| 825 | nPairs = 0 |
|
|||
| 826 | else: |
|
|||
| 827 | nPairs = len(pairsList) |
|
|||
| 828 |
|
||||
| 829 | if ippFactor == None: |
|
|||
| 830 | ippFactor = 1 |
|
|||
| 831 | self.dataOut.ippFactor = ippFactor |
|
|||
| 832 |
|
||||
| 833 | self.dataOut.nFFTPoints = nFFTPoints |
|
|||
| 834 | self.dataOut.pairsList = pairsList |
|
|||
| 835 | self.dataOut.nPairs = nPairs |
|
|||
| 836 |
|
||||
| 837 | if self.buffer == None: |
|
|||
| 838 | self.buffer = numpy.zeros((self.dataIn.nChannels, |
|
|||
| 839 | nProfiles, |
|
|||
| 840 | self.dataIn.nHeights), |
|
|||
| 841 | dtype='complex') |
|
|||
| 842 |
|
||||
| 843 |
|
||||
| 844 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() |
|
|||
| 845 | self.profIndex += 1 |
|
|||
| 846 |
|
||||
| 847 | if self.firstdatatime == None: |
|
|||
| 848 | self.firstdatatime = self.dataIn.utctime |
|
|||
| 849 |
|
||||
| 850 | if self.profIndex == nProfiles: |
|
|||
| 851 | self.__updateObjFromInput() |
|
|||
| 852 | self.__getFft() |
|
|||
| 853 |
|
||||
| 854 | self.dataOut.flagNoData = False |
|
|||
| 855 |
|
||||
| 856 | self.buffer = None |
|
|||
| 857 | self.firstdatatime = None |
|
|||
| 858 | self.profIndex = 0 |
|
|||
| 859 |
|
||||
| 860 | return |
|
|||
| 861 |
|
||||
| 862 | raise ValueError, "The type object %s is not valid"%(self.dataIn.type) |
|
|||
| 863 |
|
||||
| 864 | def selectChannels(self, channelList): |
|
|||
| 865 |
|
||||
| 866 | channelIndexList = [] |
|
|||
| 867 |
|
||||
| 868 | for channel in channelList: |
|
|||
| 869 | index = self.dataOut.channelList.index(channel) |
|
|||
| 870 | channelIndexList.append(index) |
|
|||
| 871 |
|
||||
| 872 | self.selectChannelsByIndex(channelIndexList) |
|
|||
| 873 |
|
||||
| 874 | def selectChannelsByIndex(self, channelIndexList): |
|
|||
| 875 | """ |
|
|||
| 876 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|||
| 877 |
|
||||
| 878 | Input: |
|
|||
| 879 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|||
| 880 |
|
||||
| 881 | Affected: |
|
|||
| 882 | self.dataOut.data_spc |
|
|||
| 883 | self.dataOut.channelIndexList |
|
|||
| 884 | self.dataOut.nChannels |
|
|||
| 885 |
|
||||
| 886 | Return: |
|
|||
| 887 | None |
|
|||
| 888 | """ |
|
|||
| 889 |
|
||||
| 890 | for channelIndex in channelIndexList: |
|
|||
| 891 | if channelIndex not in self.dataOut.channelIndexList: |
|
|||
| 892 | print channelIndexList |
|
|||
| 893 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
|||
| 894 |
|
||||
| 895 | nChannels = len(channelIndexList) |
|
|||
| 896 |
|
||||
| 897 | data_spc = self.dataOut.data_spc[channelIndexList,:] |
|
|||
| 898 |
|
||||
| 899 | self.dataOut.data_spc = data_spc |
|
|||
| 900 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|||
| 901 | # self.dataOut.nChannels = nChannels |
|
|||
| 902 |
|
||||
| 903 | return 1 |
|
|||
| 904 |
|
||||
| 905 | def selectHeights(self, minHei, maxHei): |
|
|||
| 906 | """ |
|
|||
| 907 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|||
| 908 | minHei <= height <= maxHei |
|
|||
| 909 |
|
||||
| 910 | Input: |
|
|||
| 911 | minHei : valor minimo de altura a considerar |
|
|||
| 912 | maxHei : valor maximo de altura a considerar |
|
|||
| 913 |
|
||||
| 914 | Affected: |
|
|||
| 915 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|||
| 916 |
|
||||
| 917 | Return: |
|
|||
| 918 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|||
| 919 | """ |
|
|||
| 920 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|||
| 921 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|||
| 922 |
|
||||
| 923 | if (maxHei > self.dataOut.heightList[-1]): |
|
|||
| 924 | maxHei = self.dataOut.heightList[-1] |
|
|||
| 925 | # raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
|||
| 926 |
|
||||
| 927 | minIndex = 0 |
|
|||
| 928 | maxIndex = 0 |
|
|||
| 929 | heights = self.dataOut.heightList |
|
|||
| 930 |
|
||||
| 931 | inda = numpy.where(heights >= minHei) |
|
|||
| 932 | indb = numpy.where(heights <= maxHei) |
|
|||
| 933 |
|
||||
| 934 | try: |
|
|||
| 935 | minIndex = inda[0][0] |
|
|||
| 936 | except: |
|
|||
| 937 | minIndex = 0 |
|
|||
| 938 |
|
||||
| 939 | try: |
|
|||
| 940 | maxIndex = indb[0][-1] |
|
|||
| 941 | except: |
|
|||
| 942 | maxIndex = len(heights) |
|
|||
| 943 |
|
||||
| 944 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
|||
| 945 |
|
||||
| 946 | return 1 |
|
|||
| 947 |
|
||||
| 948 | def getBeaconSignal(self, tauindex = 0, channelindex = 0, hei_ref=None): |
|
|||
| 949 | newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) |
|
|||
| 950 |
|
||||
| 951 | if hei_ref != None: |
|
|||
| 952 | newheis = numpy.where(self.dataOut.heightList>hei_ref) |
|
|||
| 953 |
|
||||
| 954 | minIndex = min(newheis[0]) |
|
|||
| 955 | maxIndex = max(newheis[0]) |
|
|||
| 956 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
|||
| 957 | heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|||
| 958 |
|
||||
| 959 | # determina indices |
|
|||
| 960 | nheis = int(self.dataOut.radarControllerHeaderObj.txB/(self.dataOut.heightList[1]-self.dataOut.heightList[0])) |
|
|||
| 961 | avg_dB = 10*numpy.log10(numpy.sum(data_spc[channelindex,:,:],axis=0)) |
|
|||
| 962 | beacon_dB = numpy.sort(avg_dB)[-nheis:] |
|
|||
| 963 | beacon_heiIndexList = [] |
|
|||
| 964 | for val in avg_dB.tolist(): |
|
|||
| 965 | if val >= beacon_dB[0]: |
|
|||
| 966 | beacon_heiIndexList.append(avg_dB.tolist().index(val)) |
|
|||
| 967 |
|
||||
| 968 | #data_spc = data_spc[:,:,beacon_heiIndexList] |
|
|||
| 969 | data_cspc = None |
|
|||
| 970 | if self.dataOut.data_cspc != None: |
|
|||
| 971 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
|||
| 972 | #data_cspc = data_cspc[:,:,beacon_heiIndexList] |
|
|||
| 973 |
|
||||
| 974 | data_dc = None |
|
|||
| 975 | if self.dataOut.data_dc != None: |
|
|||
| 976 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
|||
| 977 | #data_dc = data_dc[:,beacon_heiIndexList] |
|
|||
| 978 |
|
||||
| 979 | self.dataOut.data_spc = data_spc |
|
|||
| 980 | self.dataOut.data_cspc = data_cspc |
|
|||
| 981 | self.dataOut.data_dc = data_dc |
|
|||
| 982 | self.dataOut.heightList = heightList |
|
|||
| 983 | self.dataOut.beacon_heiIndexList = beacon_heiIndexList |
|
|||
| 984 |
|
||||
| 985 | return 1 |
|
|||
| 986 |
|
||||
| 987 |
|
||||
| 988 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|||
| 989 | """ |
|
|||
| 990 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|||
| 991 | minIndex <= index <= maxIndex |
|
|||
| 992 |
|
||||
| 993 | Input: |
|
|||
| 994 | minIndex : valor de indice minimo de altura a considerar |
|
|||
| 995 | maxIndex : valor de indice maximo de altura a considerar |
|
|||
| 996 |
|
||||
| 997 | Affected: |
|
|||
| 998 | self.dataOut.data_spc |
|
|||
| 999 | self.dataOut.data_cspc |
|
|||
| 1000 | self.dataOut.data_dc |
|
|||
| 1001 | self.dataOut.heightList |
|
|||
| 1002 |
|
||||
| 1003 | Return: |
|
|||
| 1004 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|||
| 1005 | """ |
|
|||
| 1006 |
|
||||
| 1007 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|||
| 1008 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|||
| 1009 |
|
||||
| 1010 | if (maxIndex >= self.dataOut.nHeights): |
|
|||
| 1011 | maxIndex = self.dataOut.nHeights-1 |
|
|||
| 1012 | # raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|||
| 1013 |
|
||||
| 1014 | nHeights = maxIndex - minIndex + 1 |
|
|||
| 1015 |
|
||||
| 1016 | #Spectra |
|
|||
| 1017 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
|||
| 1018 |
|
||||
| 1019 | data_cspc = None |
|
|||
| 1020 | if self.dataOut.data_cspc != None: |
|
|||
| 1021 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
|||
| 1022 |
|
||||
| 1023 | data_dc = None |
|
|||
| 1024 | if self.dataOut.data_dc != None: |
|
|||
| 1025 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
|||
| 1026 |
|
||||
| 1027 | self.dataOut.data_spc = data_spc |
|
|||
| 1028 | self.dataOut.data_cspc = data_cspc |
|
|||
| 1029 | self.dataOut.data_dc = data_dc |
|
|||
| 1030 |
|
||||
| 1031 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|||
| 1032 |
|
||||
| 1033 | return 1 |
|
|||
| 1034 |
|
||||
| 1035 | def removeDC(self, mode = 2): |
|
|||
| 1036 | jspectra = self.dataOut.data_spc |
|
|||
| 1037 | jcspectra = self.dataOut.data_cspc |
|
|||
| 1038 |
|
||||
| 1039 |
|
||||
| 1040 | num_chan = jspectra.shape[0] |
|
|||
| 1041 | num_hei = jspectra.shape[2] |
|
|||
| 1042 |
|
||||
| 1043 | if jcspectra != None: |
|
|||
| 1044 | jcspectraExist = True |
|
|||
| 1045 | num_pairs = jcspectra.shape[0] |
|
|||
| 1046 | else: jcspectraExist = False |
|
|||
| 1047 |
|
||||
| 1048 | freq_dc = jspectra.shape[1]/2 |
|
|||
| 1049 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc |
|
|||
| 1050 |
|
||||
| 1051 | if ind_vel[0]<0: |
|
|||
| 1052 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof |
|
|||
| 1053 |
|
||||
| 1054 | if mode == 1: |
|
|||
| 1055 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION |
|
|||
| 1056 |
|
||||
| 1057 | if jcspectraExist: |
|
|||
| 1058 | jcspectra[:,freq_dc,:] = (jcspectra[:,ind_vel[1],:] + jcspectra[:,ind_vel[2],:])/2 |
|
|||
| 1059 |
|
||||
| 1060 | if mode == 2: |
|
|||
| 1061 |
|
||||
| 1062 | vel = numpy.array([-2,-1,1,2]) |
|
|||
| 1063 | xx = numpy.zeros([4,4]) |
|
|||
| 1064 |
|
||||
| 1065 | for fil in range(4): |
|
|||
| 1066 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) |
|
|||
| 1067 |
|
||||
| 1068 | xx_inv = numpy.linalg.inv(xx) |
|
|||
| 1069 | xx_aux = xx_inv[0,:] |
|
|||
| 1070 |
|
||||
| 1071 | for ich in range(num_chan): |
|
|||
| 1072 | yy = jspectra[ich,ind_vel,:] |
|
|||
| 1073 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
|||
| 1074 |
|
||||
| 1075 | junkid = jspectra[ich,freq_dc,:]<=0 |
|
|||
| 1076 | cjunkid = sum(junkid) |
|
|||
| 1077 |
|
||||
| 1078 | if cjunkid.any(): |
|
|||
| 1079 | jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2 |
|
|||
| 1080 |
|
||||
| 1081 | if jcspectraExist: |
|
|||
| 1082 | for ip in range(num_pairs): |
|
|||
| 1083 | yy = jcspectra[ip,ind_vel,:] |
|
|||
| 1084 | jcspectra[ip,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
|||
| 1085 |
|
||||
| 1086 |
|
||||
| 1087 | self.dataOut.data_spc = jspectra |
|
|||
| 1088 | self.dataOut.data_cspc = jcspectra |
|
|||
| 1089 |
|
||||
| 1090 | return 1 |
|
|||
| 1091 |
|
||||
| 1092 | def removeInterference(self, interf = 2,hei_interf = None, nhei_interf = None, offhei_interf = None): |
|
|||
| 1093 |
|
||||
| 1094 | jspectra = self.dataOut.data_spc |
|
|||
| 1095 | jcspectra = self.dataOut.data_cspc |
|
|||
| 1096 | jnoise = self.dataOut.getNoise() |
|
|||
| 1097 | num_incoh = self.dataOut.nIncohInt |
|
|||
| 1098 |
|
||||
| 1099 | num_channel = jspectra.shape[0] |
|
|||
| 1100 | num_prof = jspectra.shape[1] |
|
|||
| 1101 | num_hei = jspectra.shape[2] |
|
|||
| 1102 |
|
||||
| 1103 | #hei_interf |
|
|||
| 1104 | if hei_interf == None: |
|
|||
| 1105 | count_hei = num_hei/2 #Como es entero no importa |
|
|||
| 1106 | hei_interf = numpy.asmatrix(range(count_hei)) + num_hei - count_hei |
|
|||
| 1107 | hei_interf = numpy.asarray(hei_interf)[0] |
|
|||
| 1108 | #nhei_interf |
|
|||
| 1109 | if (nhei_interf == None): |
|
|||
| 1110 | nhei_interf = 5 |
|
|||
| 1111 | if (nhei_interf < 1): |
|
|||
| 1112 | nhei_interf = 1 |
|
|||
| 1113 | if (nhei_interf > count_hei): |
|
|||
| 1114 | nhei_interf = count_hei |
|
|||
| 1115 | if (offhei_interf == None): |
|
|||
| 1116 | offhei_interf = 0 |
|
|||
| 1117 |
|
||||
| 1118 | ind_hei = range(num_hei) |
|
|||
| 1119 | # mask_prof = numpy.asarray(range(num_prof - 2)) + 1 |
|
|||
| 1120 | # mask_prof[range(num_prof/2 - 1,len(mask_prof))] += 1 |
|
|||
| 1121 | mask_prof = numpy.asarray(range(num_prof)) |
|
|||
| 1122 | num_mask_prof = mask_prof.size |
|
|||
| 1123 | comp_mask_prof = [0, num_prof/2] |
|
|||
| 1124 |
|
||||
| 1125 |
|
||||
| 1126 | #noise_exist: Determina si la variable jnoise ha sido definida y contiene la informacion del ruido de cada canal |
|
|||
| 1127 | if (jnoise.size < num_channel or numpy.isnan(jnoise).any()): |
|
|||
| 1128 | jnoise = numpy.nan |
|
|||
| 1129 | noise_exist = jnoise[0] < numpy.Inf |
|
|||
| 1130 |
|
||||
| 1131 | #Subrutina de Remocion de la Interferencia |
|
|||
| 1132 | for ich in range(num_channel): |
|
|||
| 1133 | #Se ordena los espectros segun su potencia (menor a mayor) |
|
|||
| 1134 | power = jspectra[ich,mask_prof,:] |
|
|||
| 1135 | power = power[:,hei_interf] |
|
|||
| 1136 | power = power.sum(axis = 0) |
|
|||
| 1137 | psort = power.ravel().argsort() |
|
|||
| 1138 |
|
||||
| 1139 | #Se estima la interferencia promedio en los Espectros de Potencia empleando |
|
|||
| 1140 | junkspc_interf = jspectra[ich,:,hei_interf[psort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
|||
| 1141 |
|
||||
| 1142 | if noise_exist: |
|
|||
| 1143 | # tmp_noise = jnoise[ich] / num_prof |
|
|||
| 1144 | tmp_noise = jnoise[ich] |
|
|||
| 1145 | junkspc_interf = junkspc_interf - tmp_noise |
|
|||
| 1146 | #junkspc_interf[:,comp_mask_prof] = 0 |
|
|||
| 1147 |
|
||||
| 1148 | jspc_interf = junkspc_interf.sum(axis = 0) / nhei_interf |
|
|||
| 1149 | jspc_interf = jspc_interf.transpose() |
|
|||
| 1150 | #Calculando el espectro de interferencia promedio |
|
|||
| 1151 | noiseid = numpy.where(jspc_interf <= tmp_noise/ math.sqrt(num_incoh)) |
|
|||
| 1152 | noiseid = noiseid[0] |
|
|||
| 1153 | cnoiseid = noiseid.size |
|
|||
| 1154 | interfid = numpy.where(jspc_interf > tmp_noise/ math.sqrt(num_incoh)) |
|
|||
| 1155 | interfid = interfid[0] |
|
|||
| 1156 | cinterfid = interfid.size |
|
|||
| 1157 |
|
||||
| 1158 | if (cnoiseid > 0): jspc_interf[noiseid] = 0 |
|
|||
| 1159 |
|
||||
| 1160 | #Expandiendo los perfiles a limpiar |
|
|||
| 1161 | if (cinterfid > 0): |
|
|||
| 1162 | new_interfid = (numpy.r_[interfid - 1, interfid, interfid + 1] + num_prof)%num_prof |
|
|||
| 1163 | new_interfid = numpy.asarray(new_interfid) |
|
|||
| 1164 | new_interfid = {x for x in new_interfid} |
|
|||
| 1165 | new_interfid = numpy.array(list(new_interfid)) |
|
|||
| 1166 | new_cinterfid = new_interfid.size |
|
|||
| 1167 | else: new_cinterfid = 0 |
|
|||
| 1168 |
|
||||
| 1169 | for ip in range(new_cinterfid): |
|
|||
| 1170 | ind = junkspc_interf[:,new_interfid[ip]].ravel().argsort() |
|
|||
| 1171 | jspc_interf[new_interfid[ip]] = junkspc_interf[ind[nhei_interf/2],new_interfid[ip]] |
|
|||
| 1172 |
|
||||
| 1173 |
|
||||
| 1174 | jspectra[ich,:,ind_hei] = jspectra[ich,:,ind_hei] - jspc_interf #Corregir indices |
|
|||
| 1175 |
|
||||
| 1176 | #Removiendo la interferencia del punto de mayor interferencia |
|
|||
| 1177 | ListAux = jspc_interf[mask_prof].tolist() |
|
|||
| 1178 | maxid = ListAux.index(max(ListAux)) |
|
|||
| 1179 |
|
||||
| 1180 |
|
||||
| 1181 | if cinterfid > 0: |
|
|||
| 1182 | for ip in range(cinterfid*(interf == 2) - 1): |
|
|||
| 1183 | ind = (jspectra[ich,interfid[ip],:] < tmp_noise*(1 + 1/math.sqrt(num_incoh))).nonzero() |
|
|||
| 1184 | cind = len(ind) |
|
|||
| 1185 |
|
||||
| 1186 | if (cind > 0): |
|
|||
| 1187 | jspectra[ich,interfid[ip],ind] = tmp_noise*(1 + (numpy.random.uniform(cind) - 0.5)/math.sqrt(num_incoh)) |
|
|||
| 1188 |
|
||||
| 1189 | ind = numpy.array([-2,-1,1,2]) |
|
|||
| 1190 | xx = numpy.zeros([4,4]) |
|
|||
| 1191 |
|
||||
| 1192 | for id1 in range(4): |
|
|||
| 1193 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
|||
| 1194 |
|
||||
| 1195 | xx_inv = numpy.linalg.inv(xx) |
|
|||
| 1196 | xx = xx_inv[:,0] |
|
|||
| 1197 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
|||
| 1198 | yy = jspectra[ich,mask_prof[ind],:] |
|
|||
| 1199 | jspectra[ich,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
|||
| 1200 |
|
||||
| 1201 |
|
||||
| 1202 | indAux = (jspectra[ich,:,:] < tmp_noise*(1-1/math.sqrt(num_incoh))).nonzero() |
|
|||
| 1203 | jspectra[ich,indAux[0],indAux[1]] = tmp_noise * (1 - 1/math.sqrt(num_incoh)) |
|
|||
| 1204 |
|
||||
| 1205 | #Remocion de Interferencia en el Cross Spectra |
|
|||
| 1206 | if jcspectra == None: return jspectra, jcspectra |
|
|||
| 1207 | num_pairs = jcspectra.size/(num_prof*num_hei) |
|
|||
| 1208 | jcspectra = jcspectra.reshape(num_pairs, num_prof, num_hei) |
|
|||
| 1209 |
|
||||
| 1210 | for ip in range(num_pairs): |
|
|||
| 1211 |
|
||||
| 1212 | #------------------------------------------- |
|
|||
| 1213 |
|
||||
| 1214 | cspower = numpy.abs(jcspectra[ip,mask_prof,:]) |
|
|||
| 1215 | cspower = cspower[:,hei_interf] |
|
|||
| 1216 | cspower = cspower.sum(axis = 0) |
|
|||
| 1217 |
|
||||
| 1218 | cspsort = cspower.ravel().argsort() |
|
|||
| 1219 | junkcspc_interf = jcspectra[ip,:,hei_interf[cspsort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
|||
| 1220 | junkcspc_interf = junkcspc_interf.transpose() |
|
|||
| 1221 | jcspc_interf = junkcspc_interf.sum(axis = 1)/nhei_interf |
|
|||
| 1222 |
|
||||
| 1223 | ind = numpy.abs(jcspc_interf[mask_prof]).ravel().argsort() |
|
|||
| 1224 |
|
||||
| 1225 | median_real = numpy.median(numpy.real(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
|||
| 1226 | median_imag = numpy.median(numpy.imag(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
|||
| 1227 | junkcspc_interf[comp_mask_prof,:] = numpy.complex(median_real, median_imag) |
|
|||
| 1228 |
|
||||
| 1229 | for iprof in range(num_prof): |
|
|||
| 1230 | ind = numpy.abs(junkcspc_interf[iprof,:]).ravel().argsort() |
|
|||
| 1231 | jcspc_interf[iprof] = junkcspc_interf[iprof, ind[nhei_interf/2]] |
|
|||
| 1232 |
|
||||
| 1233 | #Removiendo la Interferencia |
|
|||
| 1234 | jcspectra[ip,:,ind_hei] = jcspectra[ip,:,ind_hei] - jcspc_interf |
|
|||
| 1235 |
|
||||
| 1236 | ListAux = numpy.abs(jcspc_interf[mask_prof]).tolist() |
|
|||
| 1237 | maxid = ListAux.index(max(ListAux)) |
|
|||
| 1238 |
|
||||
| 1239 | ind = numpy.array([-2,-1,1,2]) |
|
|||
| 1240 | xx = numpy.zeros([4,4]) |
|
|||
| 1241 |
|
||||
| 1242 | for id1 in range(4): |
|
|||
| 1243 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
|||
| 1244 |
|
||||
| 1245 | xx_inv = numpy.linalg.inv(xx) |
|
|||
| 1246 | xx = xx_inv[:,0] |
|
|||
| 1247 |
|
||||
| 1248 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
|||
| 1249 | yy = jcspectra[ip,mask_prof[ind],:] |
|
|||
| 1250 | jcspectra[ip,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
|||
| 1251 |
|
||||
| 1252 | #Guardar Resultados |
|
|||
| 1253 | self.dataOut.data_spc = jspectra |
|
|||
| 1254 | self.dataOut.data_cspc = jcspectra |
|
|||
| 1255 |
|
||||
| 1256 | return 1 |
|
|||
| 1257 |
|
||||
| 1258 | def setRadarFrequency(self, frequency=None): |
|
|||
| 1259 | if frequency != None: |
|
|||
| 1260 | self.dataOut.frequency = frequency |
|
|||
| 1261 |
|
||||
| 1262 | return 1 |
|
|||
| 1263 |
|
||||
| 1264 | def getNoise(self, minHei=None, maxHei=None, minVel=None, maxVel=None): |
|
|||
| 1265 | #validacion de rango |
|
|||
| 1266 | if minHei == None: |
|
|||
| 1267 | minHei = self.dataOut.heightList[0] |
|
|||
| 1268 |
|
||||
| 1269 | if maxHei == None: |
|
|||
| 1270 | maxHei = self.dataOut.heightList[-1] |
|
|||
| 1271 |
|
||||
| 1272 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|||
| 1273 | print 'minHei: %.2f is out of the heights range'%(minHei) |
|
|||
| 1274 | print 'minHei is setting to %.2f'%(self.dataOut.heightList[0]) |
|
|||
| 1275 | minHei = self.dataOut.heightList[0] |
|
|||
| 1276 |
|
||||
| 1277 | if (maxHei > self.dataOut.heightList[-1]) or (maxHei < minHei): |
|
|||
| 1278 | print 'maxHei: %.2f is out of the heights range'%(maxHei) |
|
|||
| 1279 | print 'maxHei is setting to %.2f'%(self.dataOut.heightList[-1]) |
|
|||
| 1280 | maxHei = self.dataOut.heightList[-1] |
|
|||
| 1281 |
|
||||
| 1282 | # validacion de velocidades |
|
|||
| 1283 | velrange = self.dataOut.getVelRange(1) |
|
|||
| 1284 |
|
||||
| 1285 | if minVel == None: |
|
|||
| 1286 | minVel = velrange[0] |
|
|||
| 1287 |
|
||||
| 1288 | if maxVel == None: |
|
|||
| 1289 | maxVel = velrange[-1] |
|
|||
| 1290 |
|
||||
| 1291 | if (minVel < velrange[0]) or (minVel > maxVel): |
|
|||
| 1292 | print 'minVel: %.2f is out of the velocity range'%(minVel) |
|
|||
| 1293 | print 'minVel is setting to %.2f'%(velrange[0]) |
|
|||
| 1294 | minVel = velrange[0] |
|
|||
| 1295 |
|
||||
| 1296 | if (maxVel > velrange[-1]) or (maxVel < minVel): |
|
|||
| 1297 | print 'maxVel: %.2f is out of the velocity range'%(maxVel) |
|
|||
| 1298 | print 'maxVel is setting to %.2f'%(velrange[-1]) |
|
|||
| 1299 | maxVel = velrange[-1] |
|
|||
| 1300 |
|
||||
| 1301 | # seleccion de indices para rango |
|
|||
| 1302 | minIndex = 0 |
|
|||
| 1303 | maxIndex = 0 |
|
|||
| 1304 | heights = self.dataOut.heightList |
|
|||
| 1305 |
|
||||
| 1306 | inda = numpy.where(heights >= minHei) |
|
|||
| 1307 | indb = numpy.where(heights <= maxHei) |
|
|||
| 1308 |
|
||||
| 1309 | try: |
|
|||
| 1310 | minIndex = inda[0][0] |
|
|||
| 1311 | except: |
|
|||
| 1312 | minIndex = 0 |
|
|||
| 1313 |
|
||||
| 1314 | try: |
|
|||
| 1315 | maxIndex = indb[0][-1] |
|
|||
| 1316 | except: |
|
|||
| 1317 | maxIndex = len(heights) |
|
|||
| 1318 |
|
||||
| 1319 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|||
| 1320 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|||
| 1321 |
|
||||
| 1322 | if (maxIndex >= self.dataOut.nHeights): |
|
|||
| 1323 | maxIndex = self.dataOut.nHeights-1 |
|
|||
| 1324 |
|
||||
| 1325 | # seleccion de indices para velocidades |
|
|||
| 1326 | indminvel = numpy.where(velrange >= minVel) |
|
|||
| 1327 | indmaxvel = numpy.where(velrange <= maxVel) |
|
|||
| 1328 | try: |
|
|||
| 1329 | minIndexVel = indminvel[0][0] |
|
|||
| 1330 | except: |
|
|||
| 1331 | minIndexVel = 0 |
|
|||
| 1332 |
|
||||
| 1333 | try: |
|
|||
| 1334 | maxIndexVel = indmaxvel[0][-1] |
|
|||
| 1335 | except: |
|
|||
| 1336 | maxIndexVel = len(velrange) |
|
|||
| 1337 |
|
||||
| 1338 | #seleccion del espectro |
|
|||
| 1339 | data_spc = self.dataOut.data_spc[:,minIndexVel:maxIndexVel+1,minIndex:maxIndex+1] |
|
|||
| 1340 | #estimacion de ruido |
|
|||
| 1341 | noise = numpy.zeros(self.dataOut.nChannels) |
|
|||
| 1342 |
|
||||
| 1343 | for channel in range(self.dataOut.nChannels): |
|
|||
| 1344 | daux = data_spc[channel,:,:] |
|
|||
| 1345 | noise[channel] = hildebrand_sekhon(daux, self.dataOut.nIncohInt) |
|
|||
| 1346 |
|
||||
| 1347 | self.dataOut.noise = noise.copy() |
|
|||
| 1348 |
|
||||
| 1349 | return 1 |
|
|||
| 1350 |
|
||||
| 1351 |
|
||||
| 1352 | class IncohInt(Operation): |
|
|||
| 1353 |
|
||||
| 1354 |
|
||||
| 1355 | __profIndex = 0 |
|
|||
| 1356 | __withOverapping = False |
|
|||
| 1357 |
|
||||
| 1358 | __byTime = False |
|
|||
| 1359 | __initime = None |
|
|||
| 1360 | __lastdatatime = None |
|
|||
| 1361 | __integrationtime = None |
|
|||
| 1362 |
|
||||
| 1363 | __buffer_spc = None |
|
|||
| 1364 | __buffer_cspc = None |
|
|||
| 1365 | __buffer_dc = None |
|
|||
| 1366 |
|
||||
| 1367 | __dataReady = False |
|
|||
| 1368 |
|
||||
| 1369 | __timeInterval = None |
|
|||
| 1370 |
|
||||
| 1371 | n = None |
|
|||
| 1372 |
|
||||
| 1373 |
|
||||
| 1374 |
|
||||
| 1375 | def __init__(self): |
|
|||
| 1376 |
|
||||
| 1377 | self.__isConfig = False |
|
|||
| 1378 |
|
||||
| 1379 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|||
| 1380 | """ |
|
|||
| 1381 | Set the parameters of the integration class. |
|
|||
| 1382 |
|
||||
| 1383 | Inputs: |
|
|||
| 1384 |
|
||||
| 1385 | n : Number of coherent integrations |
|
|||
| 1386 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|||
| 1387 | overlapping : |
|
|||
| 1388 |
|
||||
| 1389 | """ |
|
|||
| 1390 |
|
||||
| 1391 | self.__initime = None |
|
|||
| 1392 | self.__lastdatatime = 0 |
|
|||
| 1393 | self.__buffer_spc = None |
|
|||
| 1394 | self.__buffer_cspc = None |
|
|||
| 1395 | self.__buffer_dc = None |
|
|||
| 1396 | self.__dataReady = False |
|
|||
| 1397 |
|
||||
| 1398 |
|
||||
| 1399 | if n == None and timeInterval == None: |
|
|||
| 1400 | raise ValueError, "n or timeInterval should be specified ..." |
|
|||
| 1401 |
|
||||
| 1402 | if n != None: |
|
|||
| 1403 | self.n = n |
|
|||
| 1404 | self.__byTime = False |
|
|||
| 1405 | else: |
|
|||
| 1406 | self.__integrationtime = timeInterval #if (type(timeInterval)!=integer) -> change this line |
|
|||
| 1407 | self.n = 9999 |
|
|||
| 1408 | self.__byTime = True |
|
|||
| 1409 |
|
||||
| 1410 | if overlapping: |
|
|||
| 1411 | self.__withOverapping = True |
|
|||
| 1412 | else: |
|
|||
| 1413 | self.__withOverapping = False |
|
|||
| 1414 | self.__buffer_spc = 0 |
|
|||
| 1415 | self.__buffer_cspc = 0 |
|
|||
| 1416 | self.__buffer_dc = 0 |
|
|||
| 1417 |
|
||||
| 1418 | self.__profIndex = 0 |
|
|||
| 1419 |
|
||||
| 1420 | def putData(self, data_spc, data_cspc, data_dc): |
|
|||
| 1421 |
|
||||
| 1422 | """ |
|
|||
| 1423 | Add a profile to the __buffer_spc and increase in one the __profileIndex |
|
|||
| 1424 |
|
||||
| 1425 | """ |
|
|||
| 1426 |
|
||||
| 1427 | if not self.__withOverapping: |
|
|||
| 1428 | self.__buffer_spc += data_spc |
|
|||
| 1429 |
|
||||
| 1430 | if data_cspc == None: |
|
|||
| 1431 | self.__buffer_cspc = None |
|
|||
| 1432 | else: |
|
|||
| 1433 | self.__buffer_cspc += data_cspc |
|
|||
| 1434 |
|
||||
| 1435 | if data_dc == None: |
|
|||
| 1436 | self.__buffer_dc = None |
|
|||
| 1437 | else: |
|
|||
| 1438 | self.__buffer_dc += data_dc |
|
|||
| 1439 |
|
||||
| 1440 | self.__profIndex += 1 |
|
|||
| 1441 | return |
|
|||
| 1442 |
|
||||
| 1443 | #Overlapping data |
|
|||
| 1444 | nChannels, nFFTPoints, nHeis = data_spc.shape |
|
|||
| 1445 | data_spc = numpy.reshape(data_spc, (1, nChannels, nFFTPoints, nHeis)) |
|
|||
| 1446 | if data_cspc != None: |
|
|||
| 1447 | data_cspc = numpy.reshape(data_cspc, (1, -1, nFFTPoints, nHeis)) |
|
|||
| 1448 | if data_dc != None: |
|
|||
| 1449 | data_dc = numpy.reshape(data_dc, (1, -1, nHeis)) |
|
|||
| 1450 |
|
||||
| 1451 | #If the buffer is empty then it takes the data value |
|
|||
| 1452 | if self.__buffer_spc == None: |
|
|||
| 1453 | self.__buffer_spc = data_spc |
|
|||
| 1454 |
|
||||
| 1455 | if data_cspc == None: |
|
|||
| 1456 | self.__buffer_cspc = None |
|
|||
| 1457 | else: |
|
|||
| 1458 | self.__buffer_cspc += data_cspc |
|
|||
| 1459 |
|
||||
| 1460 | if data_dc == None: |
|
|||
| 1461 | self.__buffer_dc = None |
|
|||
| 1462 | else: |
|
|||
| 1463 | self.__buffer_dc += data_dc |
|
|||
| 1464 |
|
||||
| 1465 | self.__profIndex += 1 |
|
|||
| 1466 | return |
|
|||
| 1467 |
|
||||
| 1468 | #If the buffer length is lower than n then stakcing the data value |
|
|||
| 1469 | if self.__profIndex < self.n: |
|
|||
| 1470 | self.__buffer_spc = numpy.vstack((self.__buffer_spc, data_spc)) |
|
|||
| 1471 |
|
||||
| 1472 | if data_cspc != None: |
|
|||
| 1473 | self.__buffer_cspc = numpy.vstack((self.__buffer_cspc, data_cspc)) |
|
|||
| 1474 |
|
||||
| 1475 | if data_dc != None: |
|
|||
| 1476 | self.__buffer_dc = numpy.vstack((self.__buffer_dc, data_dc)) |
|
|||
| 1477 |
|
||||
| 1478 | self.__profIndex += 1 |
|
|||
| 1479 | return |
|
|||
| 1480 |
|
||||
| 1481 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|||
| 1482 | self.__buffer_spc = numpy.roll(self.__buffer_spc, -1, axis=0) |
|
|||
| 1483 | self.__buffer_spc[self.n-1] = data_spc |
|
|||
| 1484 |
|
||||
| 1485 | if data_cspc != None: |
|
|||
| 1486 | self.__buffer_cspc = numpy.roll(self.__buffer_cspc, -1, axis=0) |
|
|||
| 1487 | self.__buffer_cspc[self.n-1] = data_cspc |
|
|||
| 1488 |
|
||||
| 1489 | if data_dc != None: |
|
|||
| 1490 | self.__buffer_dc = numpy.roll(self.__buffer_dc, -1, axis=0) |
|
|||
| 1491 | self.__buffer_dc[self.n-1] = data_dc |
|
|||
| 1492 |
|
||||
| 1493 | self.__profIndex = self.n |
|
|||
| 1494 | return |
|
|||
| 1495 |
|
||||
| 1496 |
|
||||
| 1497 | def pushData(self): |
|
|||
| 1498 | """ |
|
|||
| 1499 | Return the sum of the last profiles and the profiles used in the sum. |
|
|||
| 1500 |
|
||||
| 1501 | Affected: |
|
|||
| 1502 |
|
||||
| 1503 | self.__profileIndex |
|
|||
| 1504 |
|
||||
| 1505 | """ |
|
|||
| 1506 | data_spc = None |
|
|||
| 1507 | data_cspc = None |
|
|||
| 1508 | data_dc = None |
|
|||
| 1509 |
|
||||
| 1510 | if not self.__withOverapping: |
|
|||
| 1511 | data_spc = self.__buffer_spc |
|
|||
| 1512 | data_cspc = self.__buffer_cspc |
|
|||
| 1513 | data_dc = self.__buffer_dc |
|
|||
| 1514 |
|
||||
| 1515 | n = self.__profIndex |
|
|||
| 1516 |
|
||||
| 1517 | self.__buffer_spc = 0 |
|
|||
| 1518 | self.__buffer_cspc = 0 |
|
|||
| 1519 | self.__buffer_dc = 0 |
|
|||
| 1520 | self.__profIndex = 0 |
|
|||
| 1521 |
|
||||
| 1522 | return data_spc, data_cspc, data_dc, n |
|
|||
| 1523 |
|
||||
| 1524 | #Integration with Overlapping |
|
|||
| 1525 | data_spc = numpy.sum(self.__buffer_spc, axis=0) |
|
|||
| 1526 |
|
||||
| 1527 | if self.__buffer_cspc != None: |
|
|||
| 1528 | data_cspc = numpy.sum(self.__buffer_cspc, axis=0) |
|
|||
| 1529 |
|
||||
| 1530 | if self.__buffer_dc != None: |
|
|||
| 1531 | data_dc = numpy.sum(self.__buffer_dc, axis=0) |
|
|||
| 1532 |
|
||||
| 1533 | n = self.__profIndex |
|
|||
| 1534 |
|
||||
| 1535 | return data_spc, data_cspc, data_dc, n |
|
|||
| 1536 |
|
||||
| 1537 | def byProfiles(self, *args): |
|
|||
| 1538 |
|
||||
| 1539 | self.__dataReady = False |
|
|||
| 1540 | avgdata_spc = None |
|
|||
| 1541 | avgdata_cspc = None |
|
|||
| 1542 | avgdata_dc = None |
|
|||
| 1543 | n = None |
|
|||
| 1544 |
|
||||
| 1545 | self.putData(*args) |
|
|||
| 1546 |
|
||||
| 1547 | if self.__profIndex == self.n: |
|
|||
| 1548 |
|
||||
| 1549 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|||
| 1550 | self.__dataReady = True |
|
|||
| 1551 |
|
||||
| 1552 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|||
| 1553 |
|
||||
| 1554 | def byTime(self, datatime, *args): |
|
|||
| 1555 |
|
||||
| 1556 | self.__dataReady = False |
|
|||
| 1557 | avgdata_spc = None |
|
|||
| 1558 | avgdata_cspc = None |
|
|||
| 1559 | avgdata_dc = None |
|
|||
| 1560 | n = None |
|
|||
| 1561 |
|
||||
| 1562 | self.putData(*args) |
|
|||
| 1563 |
|
||||
| 1564 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|||
| 1565 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|||
| 1566 | self.n = n |
|
|||
| 1567 | self.__dataReady = True |
|
|||
| 1568 |
|
||||
| 1569 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|||
| 1570 |
|
||||
| 1571 | def integrate(self, datatime, *args): |
|
|||
| 1572 |
|
||||
| 1573 | if self.__initime == None: |
|
|||
| 1574 | self.__initime = datatime |
|
|||
| 1575 |
|
||||
| 1576 | if self.__byTime: |
|
|||
| 1577 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime(datatime, *args) |
|
|||
| 1578 | else: |
|
|||
| 1579 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byProfiles(*args) |
|
|||
| 1580 |
|
||||
| 1581 | self.__lastdatatime = datatime |
|
|||
| 1582 |
|
||||
| 1583 | if avgdata_spc == None: |
|
|||
| 1584 | return None, None, None, None |
|
|||
| 1585 |
|
||||
| 1586 | avgdatatime = self.__initime |
|
|||
| 1587 | try: |
|
|||
| 1588 | self.__timeInterval = (self.__lastdatatime - self.__initime)/(self.n - 1) |
|
|||
| 1589 | except: |
|
|||
| 1590 | self.__timeInterval = self.__lastdatatime - self.__initime |
|
|||
| 1591 |
|
||||
| 1592 | deltatime = datatime -self.__lastdatatime |
|
|||
| 1593 |
|
||||
| 1594 | if not self.__withOverapping: |
|
|||
| 1595 | self.__initime = datatime |
|
|||
| 1596 | else: |
|
|||
| 1597 | self.__initime += deltatime |
|
|||
| 1598 |
|
||||
| 1599 | return avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc |
|
|||
| 1600 |
|
||||
| 1601 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): |
|
|||
| 1602 |
|
||||
| 1603 | if n==1: |
|
|||
| 1604 | dataOut.flagNoData = False |
|
|||
| 1605 | return |
|
|||
| 1606 |
|
||||
| 1607 | if not self.__isConfig: |
|
|||
| 1608 | self.setup(n, timeInterval, overlapping) |
|
|||
| 1609 | self.__isConfig = True |
|
|||
| 1610 |
|
||||
| 1611 | avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc = self.integrate(dataOut.utctime, |
|
|||
| 1612 | dataOut.data_spc, |
|
|||
| 1613 | dataOut.data_cspc, |
|
|||
| 1614 | dataOut.data_dc) |
|
|||
| 1615 |
|
||||
| 1616 | # dataOut.timeInterval *= n |
|
|||
| 1617 | dataOut.flagNoData = True |
|
|||
| 1618 |
|
||||
| 1619 | if self.__dataReady: |
|
|||
| 1620 |
|
||||
| 1621 | dataOut.data_spc = avgdata_spc |
|
|||
| 1622 | dataOut.data_cspc = avgdata_cspc |
|
|||
| 1623 | dataOut.data_dc = avgdata_dc |
|
|||
| 1624 |
|
||||
| 1625 | dataOut.nIncohInt *= self.n |
|
|||
| 1626 | dataOut.utctime = avgdatatime |
|
|||
| 1627 | #dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt * dataOut.nIncohInt * dataOut.nFFTPoints |
|
|||
| 1628 | dataOut.timeInterval = self.__timeInterval*self.n |
|
|||
| 1629 | dataOut.flagNoData = False |
|
|||
| 1630 |
|
||||
| 1631 | class ProfileConcat(Operation): |
|
|||
| 1632 |
|
||||
| 1633 | __isConfig = False |
|
|||
| 1634 | buffer = None |
|
|||
| 1635 |
|
||||
| 1636 | def __init__(self): |
|
|||
| 1637 |
|
||||
| 1638 | self.profileIndex = 0 |
|
|||
| 1639 |
|
||||
| 1640 | def reset(self): |
|
|||
| 1641 | self.buffer = numpy.zeros_like(self.buffer) |
|
|||
| 1642 | self.start_index = 0 |
|
|||
| 1643 | self.times = 1 |
|
|||
| 1644 |
|
||||
| 1645 | def setup(self, data, m, n=1): |
|
|||
| 1646 | self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0])) |
|
|||
| 1647 | self.profiles = data.shape[1] |
|
|||
| 1648 | self.start_index = 0 |
|
|||
| 1649 | self.times = 1 |
|
|||
| 1650 |
|
||||
| 1651 | def concat(self, data): |
|
|||
| 1652 |
|
||||
| 1653 | self.buffer[:,self.start_index:self.profiles*self.times] = data.copy() |
|
|||
| 1654 | self.start_index = self.start_index + self.profiles |
|
|||
| 1655 |
|
||||
| 1656 | def run(self, dataOut, m): |
|
|||
| 1657 |
|
||||
| 1658 | dataOut.flagNoData = True |
|
|||
| 1659 |
|
||||
| 1660 | if not self.__isConfig: |
|
|||
| 1661 | self.setup(dataOut.data, m, 1) |
|
|||
| 1662 | self.__isConfig = True |
|
|||
| 1663 |
|
||||
| 1664 | self.concat(dataOut.data) |
|
|||
| 1665 | self.times += 1 |
|
|||
| 1666 | if self.times > m: |
|
|||
| 1667 | dataOut.data = self.buffer |
|
|||
| 1668 | self.reset() |
|
|||
| 1669 | dataOut.flagNoData = False |
|
|||
| 1670 | # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas |
|
|||
| 1671 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|||
| 1672 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * 5 |
|
|||
| 1673 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) |
|
|||
| 1674 |
|
||||
| 1675 |
|
||||
| 1676 |
|
||||
| 1677 | class ProfileSelector(Operation): |
|
|||
| 1678 |
|
||||
| 1679 | profileIndex = None |
|
|||
| 1680 | # Tamanho total de los perfiles |
|
|||
| 1681 | nProfiles = None |
|
|||
| 1682 |
|
||||
| 1683 | def __init__(self): |
|
|||
| 1684 |
|
||||
| 1685 | self.profileIndex = 0 |
|
|||
| 1686 |
|
||||
| 1687 | def incIndex(self): |
|
|||
| 1688 | self.profileIndex += 1 |
|
|||
| 1689 |
|
||||
| 1690 | if self.profileIndex >= self.nProfiles: |
|
|||
| 1691 | self.profileIndex = 0 |
|
|||
| 1692 |
|
||||
| 1693 | def isProfileInRange(self, minIndex, maxIndex): |
|
|||
| 1694 |
|
||||
| 1695 | if self.profileIndex < minIndex: |
|
|||
| 1696 | return False |
|
|||
| 1697 |
|
||||
| 1698 | if self.profileIndex > maxIndex: |
|
|||
| 1699 | return False |
|
|||
| 1700 |
|
||||
| 1701 | return True |
|
|||
| 1702 |
|
||||
| 1703 | def isProfileInList(self, profileList): |
|
|||
| 1704 |
|
||||
| 1705 | if self.profileIndex not in profileList: |
|
|||
| 1706 | return False |
|
|||
| 1707 |
|
||||
| 1708 | return True |
|
|||
| 1709 |
|
||||
| 1710 | def run(self, dataOut, profileList=None, profileRangeList=None, beam=None): |
|
|||
| 1711 |
|
||||
| 1712 | dataOut.flagNoData = True |
|
|||
| 1713 | self.nProfiles = dataOut.nProfiles |
|
|||
| 1714 |
|
||||
| 1715 | if profileList != None: |
|
|||
| 1716 | if self.isProfileInList(profileList): |
|
|||
| 1717 | dataOut.flagNoData = False |
|
|||
| 1718 |
|
||||
| 1719 | self.incIndex() |
|
|||
| 1720 | return 1 |
|
|||
| 1721 |
|
||||
| 1722 |
|
||||
| 1723 | elif profileRangeList != None: |
|
|||
| 1724 | minIndex = profileRangeList[0] |
|
|||
| 1725 | maxIndex = profileRangeList[1] |
|
|||
| 1726 | if self.isProfileInRange(minIndex, maxIndex): |
|
|||
| 1727 | dataOut.flagNoData = False |
|
|||
| 1728 |
|
||||
| 1729 | self.incIndex() |
|
|||
| 1730 | return 1 |
|
|||
| 1731 | elif beam != None: |
|
|||
| 1732 | if self.isProfileInList(dataOut.beamRangeDict[beam]): |
|
|||
| 1733 | dataOut.flagNoData = False |
|
|||
| 1734 |
|
||||
| 1735 | self.incIndex() |
|
|||
| 1736 | return 1 |
|
|||
| 1737 |
|
||||
| 1738 | else: |
|
|||
| 1739 | raise ValueError, "ProfileSelector needs profileList or profileRangeList" |
|
|||
| 1740 |
|
||||
| 1741 | return 0 |
|
|||
| 1742 |
|
||||
| 1743 | class SpectraHeisProc(ProcessingUnit): |
|
|||
| 1744 | def __init__(self): |
|
|||
| 1745 | self.objectDict = {} |
|
|||
| 1746 | # self.buffer = None |
|
|||
| 1747 | # self.firstdatatime = None |
|
|||
| 1748 | # self.profIndex = 0 |
|
|||
| 1749 | self.dataOut = SpectraHeis() |
|
|||
| 1750 |
|
||||
| 1751 | def __updateObjFromInput(self): |
|
|||
| 1752 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|||
| 1753 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|||
| 1754 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|||
| 1755 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|||
| 1756 |
|
||||
| 1757 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy()# |
|
|||
| 1758 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy()# |
|
|||
| 1759 | self.dataOut.channelList = self.dataIn.channelList |
|
|||
| 1760 | self.dataOut.heightList = self.dataIn.heightList |
|
|||
| 1761 | # self.dataOut.dtype = self.dataIn.dtype |
|
|||
| 1762 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|||
| 1763 | # self.dataOut.nHeights = self.dataIn.nHeights |
|
|||
| 1764 | # self.dataOut.nChannels = self.dataIn.nChannels |
|
|||
| 1765 | self.dataOut.nBaud = self.dataIn.nBaud |
|
|||
| 1766 | self.dataOut.nCode = self.dataIn.nCode |
|
|||
| 1767 | self.dataOut.code = self.dataIn.code |
|
|||
| 1768 | # self.dataOut.nProfiles = 1 |
|
|||
| 1769 | # self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
|||
| 1770 | self.dataOut.nFFTPoints = self.dataIn.nHeights |
|
|||
| 1771 | # self.dataOut.channelIndexList = self.dataIn.channelIndexList |
|
|||
| 1772 | # self.dataOut.flagNoData = self.dataIn.flagNoData |
|
|||
| 1773 | self.dataOut.flagTimeBlock = self.dataIn.flagTimeBlock |
|
|||
| 1774 | self.dataOut.utctime = self.dataIn.utctime |
|
|||
| 1775 | # self.dataOut.utctime = self.firstdatatime |
|
|||
| 1776 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
|||
| 1777 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
|||
| 1778 | # self.dataOut.flagShiftFFT = self.dataIn.flagShiftFFT |
|
|||
| 1779 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|||
| 1780 | self.dataOut.nIncohInt = 1 |
|
|||
| 1781 | self.dataOut.ippSeconds= self.dataIn.ippSeconds |
|
|||
| 1782 | self.dataOut.windowOfFilter = self.dataIn.windowOfFilter |
|
|||
| 1783 |
|
||||
| 1784 | self.dataOut.timeInterval = self.dataIn.timeInterval*self.dataOut.nIncohInt |
|
|||
| 1785 | # self.dataOut.set=self.dataIn.set |
|
|||
| 1786 | # self.dataOut.deltaHeight=self.dataIn.deltaHeight |
|
|||
| 1787 |
|
||||
| 1788 |
|
||||
| 1789 | def __updateObjFromFits(self): |
|
|||
| 1790 | self.dataOut.utctime = self.dataIn.utctime |
|
|||
| 1791 | self.dataOut.channelIndexList = self.dataIn.channelIndexList |
|
|||
| 1792 |
|
||||
| 1793 | self.dataOut.channelList = self.dataIn.channelList |
|
|||
| 1794 | self.dataOut.heightList = self.dataIn.heightList |
|
|||
| 1795 | self.dataOut.data_spc = self.dataIn.data |
|
|||
| 1796 | self.dataOut.timeInterval = self.dataIn.timeInterval |
|
|||
| 1797 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|||
| 1798 | self.dataOut.useLocalTime = True |
|
|||
| 1799 | # self.dataOut. |
|
|||
| 1800 | # self.dataOut. |
|
|||
| 1801 |
|
||||
| 1802 | def __getFft(self): |
|
|||
| 1803 |
|
||||
| 1804 | fft_volt = numpy.fft.fft(self.dataIn.data, axis=1) |
|
|||
| 1805 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
|
|||
| 1806 | spc = numpy.abs(fft_volt * numpy.conjugate(fft_volt))/(self.dataOut.nFFTPoints) |
|
|||
| 1807 | self.dataOut.data_spc = spc |
|
|||
| 1808 |
|
||||
| 1809 | def init(self): |
|
|||
| 1810 |
|
||||
| 1811 | self.dataOut.flagNoData = True |
|
|||
| 1812 |
|
||||
| 1813 | if self.dataIn.type == "Fits": |
|
|||
| 1814 | self.__updateObjFromFits() |
|
|||
| 1815 | self.dataOut.flagNoData = False |
|
|||
| 1816 | return |
|
|||
| 1817 |
|
||||
| 1818 | if self.dataIn.type == "SpectraHeis": |
|
|||
| 1819 | self.dataOut.copy(self.dataIn) |
|
|||
| 1820 | return |
|
|||
| 1821 |
|
||||
| 1822 | if self.dataIn.type == "Voltage": |
|
|||
| 1823 | self.__updateObjFromInput() |
|
|||
| 1824 | self.__getFft() |
|
|||
| 1825 | self.dataOut.flagNoData = False |
|
|||
| 1826 |
|
||||
| 1827 | return |
|
|||
| 1828 |
|
||||
| 1829 | raise ValueError, "The type object %s is not valid"%(self.dataIn.type) |
|
|||
| 1830 |
|
||||
| 1831 |
|
||||
| 1832 | def selectChannels(self, channelList): |
|
|||
| 1833 |
|
||||
| 1834 | channelIndexList = [] |
|
|||
| 1835 |
|
||||
| 1836 | for channel in channelList: |
|
|||
| 1837 | index = self.dataOut.channelList.index(channel) |
|
|||
| 1838 | channelIndexList.append(index) |
|
|||
| 1839 |
|
||||
| 1840 | self.selectChannelsByIndex(channelIndexList) |
|
|||
| 1841 |
|
||||
| 1842 | def selectChannelsByIndex(self, channelIndexList): |
|
|||
| 1843 | """ |
|
|||
| 1844 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|||
| 1845 |
|
||||
| 1846 | Input: |
|
|||
| 1847 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|||
| 1848 |
|
||||
| 1849 | Affected: |
|
|||
| 1850 | self.dataOut.data |
|
|||
| 1851 | self.dataOut.channelIndexList |
|
|||
| 1852 | self.dataOut.nChannels |
|
|||
| 1853 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
|||
| 1854 | self.dataOut.systemHeaderObj.numChannels |
|
|||
| 1855 | self.dataOut.m_ProcessingHeader.blockSize |
|
|||
| 1856 |
|
||||
| 1857 | Return: |
|
|||
| 1858 | None |
|
|||
| 1859 | """ |
|
|||
| 1860 |
|
||||
| 1861 | for channelIndex in channelIndexList: |
|
|||
| 1862 | if channelIndex not in self.dataOut.channelIndexList: |
|
|||
| 1863 | print channelIndexList |
|
|||
| 1864 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
|||
| 1865 |
|
||||
| 1866 | nChannels = len(channelIndexList) |
|
|||
| 1867 |
|
||||
| 1868 | data_spc = self.dataOut.data_spc[channelIndexList,:] |
|
|||
| 1869 |
|
||||
| 1870 | self.dataOut.data_spc = data_spc |
|
|||
| 1871 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|||
| 1872 |
|
||||
| 1873 | return 1 |
|
|||
| 1874 |
|
||||
| 1875 | class IncohInt4SpectraHeis(Operation): |
|
|||
| 1876 |
|
||||
| 1877 | __isConfig = False |
|
|||
| 1878 |
|
||||
| 1879 | __profIndex = 0 |
|
|||
| 1880 | __withOverapping = False |
|
|||
| 1881 |
|
||||
| 1882 | __byTime = False |
|
|||
| 1883 | __initime = None |
|
|||
| 1884 | __lastdatatime = None |
|
|||
| 1885 | __integrationtime = None |
|
|||
| 1886 |
|
||||
| 1887 | __buffer = None |
|
|||
| 1888 |
|
||||
| 1889 | __dataReady = False |
|
|||
| 1890 |
|
||||
| 1891 | n = None |
|
|||
| 1892 |
|
||||
| 1893 |
|
||||
| 1894 | def __init__(self): |
|
|||
| 1895 |
|
||||
| 1896 | self.__isConfig = False |
|
|||
| 1897 |
|
||||
| 1898 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|||
| 1899 | """ |
|
|||
| 1900 | Set the parameters of the integration class. |
|
|||
| 1901 |
|
||||
| 1902 | Inputs: |
|
|||
| 1903 |
|
||||
| 1904 | n : Number of coherent integrations |
|
|||
| 1905 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|||
| 1906 | overlapping : |
|
|||
| 1907 |
|
||||
| 1908 | """ |
|
|||
| 1909 |
|
||||
| 1910 | self.__initime = None |
|
|||
| 1911 | self.__lastdatatime = 0 |
|
|||
| 1912 | self.__buffer = None |
|
|||
| 1913 | self.__dataReady = False |
|
|||
| 1914 |
|
||||
| 1915 |
|
||||
| 1916 | if n == None and timeInterval == None: |
|
|||
| 1917 | raise ValueError, "n or timeInterval should be specified ..." |
|
|||
| 1918 |
|
||||
| 1919 | if n != None: |
|
|||
| 1920 | self.n = n |
|
|||
| 1921 | self.__byTime = False |
|
|||
| 1922 | else: |
|
|||
| 1923 | self.__integrationtime = timeInterval #* 60. #if (type(timeInterval)!=integer) -> change this line |
|
|||
| 1924 | self.n = 9999 |
|
|||
| 1925 | self.__byTime = True |
|
|||
| 1926 |
|
||||
| 1927 | if overlapping: |
|
|||
| 1928 | self.__withOverapping = True |
|
|||
| 1929 | self.__buffer = None |
|
|||
| 1930 | else: |
|
|||
| 1931 | self.__withOverapping = False |
|
|||
| 1932 | self.__buffer = 0 |
|
|||
| 1933 |
|
||||
| 1934 | self.__profIndex = 0 |
|
|||
| 1935 |
|
||||
| 1936 | def putData(self, data): |
|
|||
| 1937 |
|
||||
| 1938 | """ |
|
|||
| 1939 | Add a profile to the __buffer and increase in one the __profileIndex |
|
|||
| 1940 |
|
||||
| 1941 | """ |
|
|||
| 1942 |
|
||||
| 1943 | if not self.__withOverapping: |
|
|||
| 1944 | self.__buffer += data.copy() |
|
|||
| 1945 | self.__profIndex += 1 |
|
|||
| 1946 | return |
|
|||
| 1947 |
|
||||
| 1948 | #Overlapping data |
|
|||
| 1949 | nChannels, nHeis = data.shape |
|
|||
| 1950 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
|||
| 1951 |
|
||||
| 1952 | #If the buffer is empty then it takes the data value |
|
|||
| 1953 | if self.__buffer == None: |
|
|||
| 1954 | self.__buffer = data |
|
|||
| 1955 | self.__profIndex += 1 |
|
|||
| 1956 | return |
|
|||
| 1957 |
|
||||
| 1958 | #If the buffer length is lower than n then stakcing the data value |
|
|||
| 1959 | if self.__profIndex < self.n: |
|
|||
| 1960 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
|||
| 1961 | self.__profIndex += 1 |
|
|||
| 1962 | return |
|
|||
| 1963 |
|
||||
| 1964 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|||
| 1965 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
|||
| 1966 | self.__buffer[self.n-1] = data |
|
|||
| 1967 | self.__profIndex = self.n |
|
|||
| 1968 | return |
|
|||
| 1969 |
|
||||
| 1970 |
|
||||
| 1971 | def pushData(self): |
|
|||
| 1972 | """ |
|
|||
| 1973 | Return the sum of the last profiles and the profiles used in the sum. |
|
|||
| 1974 |
|
||||
| 1975 | Affected: |
|
|||
| 1976 |
|
||||
| 1977 | self.__profileIndex |
|
|||
| 1978 |
|
||||
| 1979 | """ |
|
|||
| 1980 |
|
||||
| 1981 | if not self.__withOverapping: |
|
|||
| 1982 | data = self.__buffer |
|
|||
| 1983 | n = self.__profIndex |
|
|||
| 1984 |
|
||||
| 1985 | self.__buffer = 0 |
|
|||
| 1986 | self.__profIndex = 0 |
|
|||
| 1987 |
|
||||
| 1988 | return data, n |
|
|||
| 1989 |
|
||||
| 1990 | #Integration with Overlapping |
|
|||
| 1991 | data = numpy.sum(self.__buffer, axis=0) |
|
|||
| 1992 | n = self.__profIndex |
|
|||
| 1993 |
|
||||
| 1994 | return data, n |
|
|||
| 1995 |
|
||||
| 1996 | def byProfiles(self, data): |
|
|||
| 1997 |
|
||||
| 1998 | self.__dataReady = False |
|
|||
| 1999 | avgdata = None |
|
|||
| 2000 | n = None |
|
|||
| 2001 |
|
||||
| 2002 | self.putData(data) |
|
|||
| 2003 |
|
||||
| 2004 | if self.__profIndex == self.n: |
|
|||
| 2005 |
|
||||
| 2006 | avgdata, n = self.pushData() |
|
|||
| 2007 | self.__dataReady = True |
|
|||
| 2008 |
|
||||
| 2009 | return avgdata |
|
|||
| 2010 |
|
||||
| 2011 | def byTime(self, data, datatime): |
|
|||
| 2012 |
|
||||
| 2013 | self.__dataReady = False |
|
|||
| 2014 | avgdata = None |
|
|||
| 2015 | n = None |
|
|||
| 2016 |
|
||||
| 2017 | self.putData(data) |
|
|||
| 2018 |
|
||||
| 2019 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|||
| 2020 | avgdata, n = self.pushData() |
|
|||
| 2021 | self.n = n |
|
|||
| 2022 | self.__dataReady = True |
|
|||
| 2023 |
|
||||
| 2024 | return avgdata |
|
|||
| 2025 |
|
||||
| 2026 | def integrate(self, data, datatime=None): |
|
|||
| 2027 |
|
||||
| 2028 | if self.__initime == None: |
|
|||
| 2029 | self.__initime = datatime |
|
|||
| 2030 |
|
||||
| 2031 | if self.__byTime: |
|
|||
| 2032 | avgdata = self.byTime(data, datatime) |
|
|||
| 2033 | else: |
|
|||
| 2034 | avgdata = self.byProfiles(data) |
|
|||
| 2035 |
|
||||
| 2036 |
|
||||
| 2037 | self.__lastdatatime = datatime |
|
|||
| 2038 |
|
||||
| 2039 | if avgdata == None: |
|
|||
| 2040 | return None, None |
|
|||
| 2041 |
|
||||
| 2042 | avgdatatime = self.__initime |
|
|||
| 2043 |
|
||||
| 2044 | deltatime = datatime -self.__lastdatatime |
|
|||
| 2045 |
|
||||
| 2046 | if not self.__withOverapping: |
|
|||
| 2047 | self.__initime = datatime |
|
|||
| 2048 | else: |
|
|||
| 2049 | self.__initime += deltatime |
|
|||
| 2050 |
|
||||
| 2051 | return avgdata, avgdatatime |
|
|||
| 2052 |
|
||||
| 2053 | def run(self, dataOut, **kwargs): |
|
|||
| 2054 |
|
||||
| 2055 | if not self.__isConfig: |
|
|||
| 2056 | self.setup(**kwargs) |
|
|||
| 2057 | self.__isConfig = True |
|
|||
| 2058 |
|
||||
| 2059 | avgdata, avgdatatime = self.integrate(dataOut.data_spc, dataOut.utctime) |
|
|||
| 2060 |
|
||||
| 2061 | # dataOut.timeInterval *= n |
|
|||
| 2062 | dataOut.flagNoData = True |
|
|||
| 2063 |
|
||||
| 2064 | if self.__dataReady: |
|
|||
| 2065 | dataOut.data_spc = avgdata |
|
|||
| 2066 | dataOut.nIncohInt *= self.n |
|
|||
| 2067 | # dataOut.nCohInt *= self.n |
|
|||
| 2068 | dataOut.utctime = avgdatatime |
|
|||
| 2069 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nIncohInt |
|
|||
| 2070 | # dataOut.timeInterval = self.__timeInterval*self.n |
|
|||
| 2071 | dataOut.flagNoData = False |
|
|||
| 2072 |
|
||||
| 2073 |
|
||||
| 2074 |
|
||||
| 2075 |
|
||||
| 2076 | class AMISRProc(ProcessingUnit): |
|
|||
| 2077 | def __init__(self): |
|
|||
| 2078 | self.objectDict = {} |
|
|||
| 2079 | self.dataOut = AMISR() |
|
|||
| 2080 |
|
||||
| 2081 | def init(self): |
|
|||
| 2082 | if self.dataIn.type == 'AMISR': |
|
|||
| 2083 | self.dataOut.copy(self.dataIn) |
|
|||
| 2084 |
|
||||
| 2085 |
|
||||
| 2086 | class PrintInfo(Operation): |
|
|||
| 2087 | def __init__(self): |
|
|||
| 2088 | pass |
|
|||
| 2089 |
|
||||
| 2090 | def run(self, dataOut): |
|
|||
| 2091 |
|
||||
| 2092 | print 'Number of Records by File: %d'%dataOut.nRecords |
|
|||
| 2093 | print 'Number of Pulses: %d'%dataOut.nProfiles |
|
|||
| 2094 | print 'Number of Samples by Pulse: %d'%len(dataOut.heightList) |
|
|||
| 2095 | print 'Ipp Seconds: %f'%dataOut.ippSeconds |
|
|||
| 2096 | print 'Number of Beams: %d'%dataOut.nBeams |
|
|||
| 2097 | print 'BeamCodes:' |
|
|||
| 2098 | beamStrList = ['Beam %d -> Code %d'%(k,v) for k,v in dataOut.beamCodeDict.items()] |
|
|||
| 2099 | for b in beamStrList: |
|
|||
| 2100 | print b |
|
|||
| 2101 |
|
||||
| 2102 |
|
||||
| 2103 | class BeamSelector(Operation): |
|
|||
| 2104 | profileIndex = None |
|
|||
| 2105 | # Tamanho total de los perfiles |
|
|||
| 2106 | nProfiles = None |
|
|||
| 2107 |
|
||||
| 2108 | def __init__(self): |
|
|||
| 2109 |
|
||||
| 2110 | self.profileIndex = 0 |
|
|||
| 2111 |
|
||||
| 2112 | def incIndex(self): |
|
|||
| 2113 | self.profileIndex += 1 |
|
|||
| 2114 |
|
||||
| 2115 | if self.profileIndex >= self.nProfiles: |
|
|||
| 2116 | self.profileIndex = 0 |
|
|||
| 2117 |
|
||||
| 2118 | def isProfileInRange(self, minIndex, maxIndex): |
|
|||
| 2119 |
|
||||
| 2120 | if self.profileIndex < minIndex: |
|
|||
| 2121 | return False |
|
|||
| 2122 |
|
||||
| 2123 | if self.profileIndex > maxIndex: |
|
|||
| 2124 | return False |
|
|||
| 2125 |
|
||||
| 2126 | return True |
|
|||
| 2127 |
|
||||
| 2128 | def isProfileInList(self, profileList): |
|
|||
| 2129 |
|
||||
| 2130 | if self.profileIndex not in profileList: |
|
|||
| 2131 | return False |
|
|||
| 2132 |
|
||||
| 2133 | return True |
|
|||
| 2134 |
|
||||
| 2135 | def run(self, dataOut, beam=None): |
|
|||
| 2136 |
|
||||
| 2137 | dataOut.flagNoData = True |
|
|||
| 2138 | self.nProfiles = dataOut.nProfiles |
|
|||
| 2139 |
|
||||
| 2140 | if beam != None: |
|
|||
| 2141 | if self.isProfileInList(dataOut.beamRangeDict[beam]): |
|
|||
| 2142 | dataOut.flagNoData = False |
|
|||
| 2143 |
|
||||
| 2144 | self.incIndex() |
|
|||
| 2145 | return 1 |
|
|||
| 2146 |
|
||||
| 2147 | else: |
|
|||
| 2148 | raise ValueError, "BeamSelector needs beam value" |
|
|||
| 2149 |
|
||||
| 2150 | return 0 No newline at end of file |
|
|||
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