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'''
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Created on 23/01/2012
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@author $Author: vsarmiento $
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@version $Id: HeaderIO.py 37 2012-03-26 22:55:13Z vsarmiento $
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'''
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import numpy
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import copy
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class Header:
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def __init__(self):
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raise
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def copy(self):
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return copy.deepcopy(self)
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def read():
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pass
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def write():
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pass
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class BasicHeader(Header):
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size = None
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version = None
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dataBlock = None
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utc = None
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miliSecond = None
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timeZone = None
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dstFlag = None
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errorCount = None
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struct = None
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def __init__(self):
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self.size = 0
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self.version = 0
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self.dataBlock = 0
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self.utc = 0
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self.miliSecond = 0
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self.timeZone = 0
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self.dstFlag = 0
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self.errorCount = 0
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self.struct = numpy.dtype([
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('nSize','<u4'),
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('nVersion','<u2'),
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('nDataBlockId','<u4'),
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('nUtime','<u4'),
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('nMilsec','<u2'),
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('nTimezone','<i2'),
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('nDstflag','<i2'),
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('nErrorCount','<u4')
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])
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def read(self, fp):
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try:
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header = numpy.fromfile(fp, self.struct,1)
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self.size = header['nSize'][0]
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self.version = header['nVersion'][0]
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self.dataBlock = header['nDataBlockId'][0]
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self.utc = header['nUtime'][0]
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self.miliSecond = header['nMilsec'][0]
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self.timeZone = header['nTimezone'][0]
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self.dstFlag = header['nDstflag'][0]
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self.errorCount = header['nErrorCount'][0]
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except:
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return 0
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return 1
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def write(self, fp):
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headerTuple = (self.size,self.version,self.dataBlock,self.utc,self.miliSecond,self.timeZone,self.dstFlag,self.errorCount)
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header = numpy.array(headerTuple,self.struct)
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header.tofile(fp)
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return 1
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class SystemHeader(Header):
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size = None
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nSamples = None
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nProfiles = None
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nChannels = None
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adcResolution = None
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pciDioBusWidth = None
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struct = None
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def __init__(self):
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self.size = 0
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self.nSamples = 0
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self.nProfiles = 0
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self.nChannels = 0
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self.adcResolution = 0
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self.pciDioBusWidth = 0
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self.struct = numpy.dtype([
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('nSize','<u4'),
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('nNumSamples','<u4'),
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('nNumProfiles','<u4'),
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('nNumChannels','<u4'),
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('nADCResolution','<u4'),
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('nPCDIOBusWidth','<u4'),
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])
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def read(self, fp):
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try:
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header = numpy.fromfile(fp,self.struct,1)
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self.size = header['nSize'][0]
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self.nSamples = header['nNumSamples'][0]
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self.nProfiles = header['nNumProfiles'][0]
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self.nChannels = header['nNumChannels'][0]
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self.adcResolution = header['nADCResolution'][0]
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self.pciDioBusWidth = header['nPCDIOBusWidth'][0]
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except:
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return 0
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return 1
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def write(self, fp):
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headerTuple = (self.size,self.nSamples,self.nProfiles,self.nChannels,self.adcResolution,self.pciDioBusWidth)
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header = numpy.array(headerTuple,self.struct)
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header.tofile(fp)
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return 1
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class RadarControllerHeader(Header):
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size = None
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expType = None
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nTx = None
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ipp = None
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txA = None
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txB = None
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nWindows = None
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numTaus = None
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codeType = None
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line6Function = None
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line5Function = None
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fClock = None
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prePulseBefore = None
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prePulserAfter = None
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rangeIpp = None
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rangeTxA = None
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rangeTxB = None
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struct = None
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def __init__(self):
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self.size = 0
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self.expType = 0
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self.nTx = 0
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self.ipp = 0
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self.txA = 0
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self.txB = 0
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self.nWindows = 0
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self.numTaus = 0
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self.codeType = 0
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self.line6Function = 0
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self.line5Function = 0
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self.fClock = 0
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self.prePulseBefore = 0
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self.prePulserAfter = 0
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self.rangeIpp = 0
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self.rangeTxA = 0
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self.rangeTxB = 0
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self.struct = numpy.dtype([
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('nSize','<u4'),
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('nExpType','<u4'),
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('nNTx','<u4'),
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('fIpp','<f4'),
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('fTxA','<f4'),
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('fTxB','<f4'),
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('nNumWindows','<u4'),
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('nNumTaus','<u4'),
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('nCodeType','<u4'),
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('nLine6Function','<u4'),
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('nLine5Function','<u4'),
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('fClock','<f4'),
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('nPrePulseBefore','<u4'),
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('nPrePulseAfter','<u4'),
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('sRangeIPP','<a20'),
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('sRangeTxA','<a20'),
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('sRangeTxB','<a20'),
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])
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self.samplingWindowStruct = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')])
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self.samplingWindow = None
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self.nHeights = None
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self.firstHeight = None
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self.deltaHeight = None
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self.samplesWin = None
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self.numCode = None
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self.numBaud = None
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self.code = None
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self.flip1 = None
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self.flip2 = None
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self.dynamic = numpy.array([],numpy.dtype('byte'))
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def read(self, fp):
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try:
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startFp = fp.tell()
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header = numpy.fromfile(fp,self.struct,1)
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self.size = header['nSize'][0]
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self.expType = header['nExpType'][0]
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self.nTx = header['nNTx'][0]
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self.ipp = header['fIpp'][0]
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self.txA = header['fTxA'][0]
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self.txB = header['fTxB'][0]
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self.nWindows = header['nNumWindows'][0]
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self.numTaus = header['nNumTaus'][0]
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self.codeType = header['nCodeType'][0]
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self.line6Function = header['nLine6Function'][0]
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self.line5Function = header['nLine5Function'][0]
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self.fClock = header['fClock'][0]
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self.prePulseBefore = header['nPrePulseBefore'][0]
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self.prePulserAfter = header['nPrePulseAfter'][0]
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self.rangeIpp = header['sRangeIPP'][0]
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self.rangeTxA = header['sRangeTxA'][0]
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self.rangeTxB = header['sRangeTxB'][0]
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# jump Dynamic Radar Controller Header
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jumpFp = self.size - 116
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self.dynamic = numpy.fromfile(fp,numpy.dtype('byte'),jumpFp)
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#pointer backward to dynamic header and read
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backFp = fp.tell() - jumpFp
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fp.seek(backFp)
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self.samplingWindow = numpy.fromfile(fp,self.samplingWindowStruct,self.nWindows)
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self.nHeights = numpy.sum(self.samplingWindow['nsa'])
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self.firstHeight = self.samplingWindow['h0']
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self.deltaHeight = self.samplingWindow['dh']
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self.samplesWin = self.samplingWindow['nsa']
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self.Taus = numpy.fromfile(fp,'<f4',self.numTaus)
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if self.codeType != 0:
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self.numCode = numpy.fromfile(fp,'<u4',1)
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self.numBaud = numpy.fromfile(fp,'<u4',1)
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self.code = numpy.empty([self.numCode,self.numBaud],dtype='u1')
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tempList = []
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for ic in range(self.numCode):
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temp = numpy.fromfile(fp,'u1',4*numpy.ceil(self.numBaud/32.))
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tempList.append(temp)
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self.code[ic] = numpy.unpackbits(temp[::-1])[-1*self.numBaud:]
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self.code = 2.0*self.code - 1.0
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if self.line5Function == RCfunction.FLIP:
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self.flip1 = numpy.fromfile(fp,'<u4',1)
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if self.line6Function == RCfunction.FLIP:
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self.flip2 = numpy.fromfile(fp,'<u4',1)
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endFp = self.size + startFp
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jumpFp = endFp - fp.tell()
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if jumpFp > 0:
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fp.seek(jumpFp)
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except:
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return 0
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return 1
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def write(self, fp):
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headerTuple = (self.size,
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self.expType,
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self.nTx,
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self.ipp,
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self.txA,
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self.txB,
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self.nWindows,
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self.numTaus,
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self.codeType,
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self.line6Function,
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self.line5Function,
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self.fClock,
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self.prePulseBefore,
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self.prePulserAfter,
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self.rangeIpp,
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self.rangeTxA,
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self.rangeTxB)
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header = numpy.array(headerTuple,self.struct)
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header.tofile(fp)
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dynamic = self.dynamic
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dynamic.tofile(fp)
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return 1
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class ProcessingHeader(Header):
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size = None
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dtype = None
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blockSize = None
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profilesPerBlock = None
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dataBlocksPerFile = None
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nWindows = None
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processFlags = None
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nCohInt = None
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nIncohInt = None
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totalSpectra = None
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struct = None
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flag_dc = None
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flag_cspc = None
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def __init__(self):
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self.size = 0
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self.dataType = 0
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self.blockSize = 0
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self.profilesPerBlock = 0
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self.dataBlocksPerFile = 0
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self.nWindows = 0
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self.processFlags = 0
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self.nCohInt = 0
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self.nIncohInt = 0
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self.totalSpectra = 0
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self.struct = numpy.dtype([
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('nSize','<u4'),
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('nDataType','<u4'),
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('nSizeOfDataBlock','<u4'),
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('nProfilesperBlock','<u4'),
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('nDataBlocksperFile','<u4'),
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('nNumWindows','<u4'),
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('nProcessFlags','<u4'),
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('nCoherentIntegrations','<u4'),
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('nIncoherentIntegrations','<u4'),
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('nTotalSpectra','<u4')
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])
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self.samplingWindow = 0
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self.structSamplingWindow = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')])
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self.nHeights = 0
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self.firstHeight = 0
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self.deltaHeight = 0
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self.samplesWin = 0
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self.spectraComb = 0
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self.numCode = 0
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self.code = 0
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self.numBaud = 0
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self.shif_fft = False
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self.flag_dc = False
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self.flag_cspc = False
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def read(self, fp):
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try:
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header = numpy.fromfile(fp,self.struct,1)
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self.size = header['nSize'][0]
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self.dataType = header['nDataType'][0]
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self.blockSize = header['nSizeOfDataBlock'][0]
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self.profilesPerBlock = header['nProfilesperBlock'][0]
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self.dataBlocksPerFile = header['nDataBlocksperFile'][0]
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self.nWindows = header['nNumWindows'][0]
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self.processFlags = header['nProcessFlags']
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self.nCohInt = header['nCoherentIntegrations'][0]
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self.nIncohInt = header['nIncoherentIntegrations'][0]
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self.totalSpectra = header['nTotalSpectra'][0]
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self.samplingWindow = numpy.fromfile(fp,self.structSamplingWindow,self.nWindows)
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self.nHeights = numpy.sum(self.samplingWindow['nsa'])
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self.firstHeight = self.samplingWindow['h0'][0]
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self.deltaHeight = self.samplingWindow['dh'][0]
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self.samplesWin = self.samplingWindow['nsa']
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self.spectraComb = numpy.fromfile(fp,'u1',2*self.totalSpectra)
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if ((self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE) == PROCFLAG.DEFINE_PROCESS_CODE):
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self.numCode = numpy.fromfile(fp,'<u4',1)
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self.numBaud = numpy.fromfile(fp,'<u4',1)
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self.code = numpy.fromfile(fp,'<f4',self.numCode*self.numBaud).reshape(self.numBaud,self.numCode)
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if ((self.processFlags & PROCFLAG.SHIFT_FFT_DATA) == PROCFLAG.SHIFT_FFT_DATA):
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self.shif_fft = True
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else:
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self.shif_fft = False
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if ((self.processFlags & PROCFLAG.SAVE_CHANNELS_DC) == PROCFLAG.SAVE_CHANNELS_DC):
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self.flag_dc = True
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nChannels = 0
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nPairs = 0
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pairList = []
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for i in range( 0, self.totalSpectra*2, 2 ):
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if self.spectraComb[i] == self.spectraComb[i+1]:
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nChannels = nChannels + 1 #par de canales iguales
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else:
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nPairs = nPairs + 1 #par de canales diferentes
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pairList.append( (self.spectraComb[i], self.spectraComb[i+1]) )
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self.flag_cspc = False
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if nPairs > 0:
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self.flag_cspc = True
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except:
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return 0
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return 1
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def write(self, fp):
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headerTuple = (self.size,
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self.dataType,
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self.blockSize,
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self.profilesPerBlock,
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self.dataBlocksPerFile,
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self.nWindows,
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self.processFlags,
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self.nCohInt,
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self.nIncohInt,
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self.totalSpectra)
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header = numpy.array(headerTuple,self.struct)
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header.tofile(fp)
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if self.nWindows != 0:
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sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin)
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samplingWindow = numpy.array(sampleWindowTuple,self.structSamplingWindow)
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samplingWindow.tofile(fp)
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if self.totalSpectra != 0:
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spectraComb = numpy.array([],numpy.dtype('u1'))
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spectraComb = self.spectraComb
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spectraComb.tofile(fp)
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if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE:
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numCode = self.numCode
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numCode.tofile(fp)
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numBaud = self.numBaud
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numBaud.tofile(fp)
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code = self.code.reshape(numCode*numBaud)
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code.tofile(fp)
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return 1
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class RCfunction:
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NONE=0
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FLIP=1
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CODE=2
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SAMPLING=3
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LIN6DIV256=4
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SYNCHRO=5
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class nCodeType:
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NONE=0
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USERDEFINE=1
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BARKER2=2
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BARKER3=3
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BARKER4=4
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BARKER5=5
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BARKER7=6
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BARKER11=7
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BARKER13=8
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AC128=9
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COMPLEMENTARYCODE2=10
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COMPLEMENTARYCODE4=11
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COMPLEMENTARYCODE8=12
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COMPLEMENTARYCODE16=13
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COMPLEMENTARYCODE32=14
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COMPLEMENTARYCODE64=15
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COMPLEMENTARYCODE128=16
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CODE_BINARY28=17
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class PROCFLAG:
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COHERENT_INTEGRATION = numpy.uint32(0x00000001)
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DECODE_DATA = numpy.uint32(0x00000002)
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SPECTRA_CALC = numpy.uint32(0x00000004)
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INCOHERENT_INTEGRATION = numpy.uint32(0x00000008)
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POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010)
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SHIFT_FFT_DATA = numpy.uint32(0x00000020)
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DATATYPE_CHAR = numpy.uint32(0x00000040)
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DATATYPE_SHORT = numpy.uint32(0x00000080)
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DATATYPE_LONG = numpy.uint32(0x00000100)
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DATATYPE_INT64 = numpy.uint32(0x00000200)
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DATATYPE_FLOAT = numpy.uint32(0x00000400)
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DATATYPE_DOUBLE = numpy.uint32(0x00000800)
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DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000)
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DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000)
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DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000)
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SAVE_CHANNELS_DC = numpy.uint32(0x00008000)
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DEFLIP_DATA = numpy.uint32(0x00010000)
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DEFINE_PROCESS_CODE = numpy.uint32(0x00020000)
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ACQ_SYS_NATALIA = numpy.uint32(0x00040000)
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ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000)
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ACQ_SYS_ADRXD = numpy.uint32(0x000C0000)
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ACQ_SYS_JULIA = numpy.uint32(0x00100000)
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ACQ_SYS_XXXXXX = numpy.uint32(0x00140000)
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EXP_NAME_ESP = numpy.uint32(0x00200000)
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CHANNEL_NAMES_ESP = numpy.uint32(0x00400000)
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OPERATION_MASK = numpy.uint32(0x0000003F)
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|
DATATYPE_MASK = numpy.uint32(0x00000FC0)
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|
|
DATAARRANGE_MASK = numpy.uint32(0x00007000)
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|
ACQ_SYS_MASK = numpy.uint32(0x001C0000)
|
