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'''
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$Author$
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$Id$
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'''
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import os
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import sys
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import numpy
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import datetime
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import time
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path = os.path.split(os.getcwd())[0]
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sys.path.append(path)
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from Data.JROData import Voltage
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from IO.VoltageIO import VoltageWriter
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from Graphics.schainPlotTypes import ScopeFigure, RTIFigure
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class VoltageProcessor:
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dataInObj = None
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dataOutObj = None
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integratorObjIndex = None
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writerObjIndex = None
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integratorObjList = None
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writerObjList = None
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def __init__(self):
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self.integratorObjIndex = None
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self.writerObjIndex = None
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self.plotObjIndex = None
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self.integratorObjList = []
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self.writerObjList = []
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self.plotObjList = []
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def setup(self,dataInObj=None,dataOutObj=None):
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self.dataInObj = dataInObj
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if self.dataOutObj == None:
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dataOutObj = Voltage()
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self.dataOutObj = dataOutObj
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return self.dataOutObj
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def init(self):
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self.integratorObjIndex = 0
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self.writerObjIndex = 0
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self.plotObjIndex = 0
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if not(self.dataInObj.flagNoData):
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self.dataOutObj.copy(self.dataInObj)
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# No necesita copiar en cada init() los atributos de dataInObj
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# la copia deberia hacerse por cada nuevo bloque de datos
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def addRti(self, idfigure, nframes, wintitle, driver, colormap, colorbar, showprofile):
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rtiObj = RTIFigure(idfigure, nframes, wintitle, driver, colormap, colorbar, showprofile)
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self.plotObjList.append(rtiObj)
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def plotRti(self, idfigure=None,
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starttime=None,
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endtime=None,
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rangemin=None,
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rangemax=None,
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minvalue=None,
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maxvalue=None,
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wintitle='',
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driver='plplot',
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colormap='br_greeen',
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colorbar=True,
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showprofile=False,
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xrangestep=None,
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save=False,
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gpath=None):
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if self.dataOutObj.flagNoData:
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return 0
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nframes = len(self.dataOutObj.channelList)
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if len(self.plotObjList) <= self.plotObjIndex:
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self.addRti(idfigure, nframes, wintitle, driver, colormap, colorbar, showprofile)
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data = self.dataOutObj.data * numpy.conjugate(self.dataOutObj.data)
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data = 10*numpy.log10(data.real)
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# currenttime = self.dataOutObj.utctime
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# if timezone == "lt":
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currenttime = self.dataOutObj.utctime - time.timezone
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range = self.dataOutObj.heightList
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channelList = self.dataOutObj.channelList
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thisdatetime = datetime.datetime.fromtimestamp(self.dataOutObj.utctime)
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dateTime = "%s"%(thisdatetime.strftime("%d-%b-%Y %H:%M:%S"))
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date = "%s"%(thisdatetime.strftime("%d-%b-%Y"))
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figuretitle = "RTI Plot Radar Data" #+ date
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plotObj = self.plotObjList[self.plotObjIndex]
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cleardata = False
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deltax = self.dataOutObj.timeInterval
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plotObj.plotPcolor(data=data,
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x=currenttime,
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y=range,
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channelList=channelList,
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xmin=starttime,
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xmax=endtime,
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ymin=rangemin,
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ymax=rangemax,
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minvalue=minvalue,
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maxvalue=maxvalue,
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figuretitle=figuretitle,
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xrangestep=xrangestep,
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deltax=deltax,
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save=save,
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gpath=gpath,
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cleardata=cleardata)
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self.plotObjIndex += 1
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def addScope(self, idfigure, nframes, wintitle, driver):
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if idfigure==None:
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idfigure = self.plotObjIndex
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scopeObj = ScopeFigure(idfigure, nframes, wintitle, driver)
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self.plotObjList.append(scopeObj)
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def plotScope(self,
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idfigure=None,
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minvalue=None,
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maxvalue=None,
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xmin=None,
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xmax=None,
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wintitle='',
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driver='plplot',
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save=False,
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gpath=None,
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titleList=None,
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xlabelList=None,
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ylabelList=None,
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type="power"):
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if self.dataOutObj.flagNoData:
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return 0
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nframes = len(self.dataOutObj.channelList)
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if len(self.plotObjList) <= self.plotObjIndex:
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self.addScope(idfigure, nframes, wintitle, driver)
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if type=="power":
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data1D = self.dataOutObj.data * numpy.conjugate(self.dataOutObj.data)
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data1D = data1D.real
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if type =="iq":
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data1D = self.dataOutObj.data
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thisDatetime = datetime.datetime.fromtimestamp(self.dataOutObj.utctime)
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dateTime = "%s"%(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
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date = "%s"%(thisDatetime.strftime("%d-%b-%Y"))
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figureTitle = "Scope Plot Radar Data: " + date
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plotObj = self.plotObjList[self.plotObjIndex]
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plotObj.plot1DArray(data1D=data1D,
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x=self.dataOutObj.heightList,
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channelList=self.dataOutObj.channelList,
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xmin=xmin,
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xmax=xmax,
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minvalue=minvalue,
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maxvalue=maxvalue,
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figureTitle=figureTitle,
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save=save,
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gpath=gpath)
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self.plotObjIndex += 1
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def addIntegrator(self, *args):
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objCohInt = CoherentIntegrator(*args)
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self.integratorObjList.append(objCohInt)
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def addWriter(self, *args):
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writerObj = VoltageWriter(self.dataOutObj)
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writerObj.setup(*args)
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self.writerObjList.append(writerObj)
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def writeData(self, wrpath, blocksPerFile, profilesPerBlock):
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if self.dataOutObj.flagNoData:
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return 0
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if len(self.writerObjList) <= self.writerObjIndex:
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self.addWriter(wrpath, blocksPerFile, profilesPerBlock)
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self.writerObjList[self.writerObjIndex].putData()
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self.writerObjIndex += 1
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def integrator(self, nCohInt=None, timeInterval=None, overlapping=False):
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if self.dataOutObj.flagNoData:
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return 0
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if len(self.integratorObjList) <= self.integratorObjIndex:
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self.addIntegrator(nCohInt, timeInterval, overlapping)
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myCohIntObj = self.integratorObjList[self.integratorObjIndex]
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myCohIntObj.exe(data = self.dataOutObj.data, datatime=None)
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self.dataOutObj.flagNoData = True
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if myCohIntObj.isReady:
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self.dataOutObj.flagNoData = False
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class CoherentIntegrator:
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__profIndex = 0
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__withOverapping = False
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__isByTime = False
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__initime = None
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__integrationtime = None
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__buffer = None
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isReady = False
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nCohInt = None
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def __init__(self, nCohInt=None, timeInterval=None, overlapping=False):
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"""
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Set the parameters of the integration class.
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Inputs:
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nCohInt : Number of coherent integrations
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timeInterval : Time of integration. If nCohInt is selected this parameter does not work
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overlapping :
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"""
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self.__buffer = None
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self.isReady = False
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if nCohInt == None and timeInterval == None:
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raise ValueError, "nCohInt or timeInterval should be specified ..."
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if nCohInt != None:
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self.nCohInt = nCohInt
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self.__isByTime = False
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else:
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self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line
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self.__isByTime = True
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if overlapping:
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self.__withOverapping = True
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self.__buffer = None
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else:
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self.__withOverapping = False
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self.__buffer = 0
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self.__profIndex = 0
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def putData(self, data):
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"""
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Add a profile to the __buffer and increase in one the __profileIndex
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"""
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if not self.__withOverapping:
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self.__buffer += data
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self.__profIndex += 1
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return
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#Overlapping data
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nChannels, nHeis = data.shape
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data = numpy.reshape(data, (1, nChannels, nHeis))
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if self.__buffer == None:
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self.__buffer = data
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self.__profIndex += 1
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return
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if self.__profIndex < self.nCohInt:
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self.__buffer = numpy.vstack((self.__buffer, data))
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self.__profIndex += 1
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return
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self.__buffer = numpy.roll(self.__buffer, -1, axis=0)
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self.__buffer[self.nCohInt-1] = data
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#self.__profIndex = self.nCohInt
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return
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def pushData(self):
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"""
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Return the sum of the last profiles and the profiles used in the sum.
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Affected:
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self.__profileIndex
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"""
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if not self.__withOverapping:
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data = self.__buffer
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nCohInt = self.__profIndex
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self.__buffer = 0
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self.__profIndex = 0
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return data, nCohInt
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#Overlapping data
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data = numpy.sum(self.__buffer, axis=0)
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nCohInt = self.__profIndex
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return data, nCohInt
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def byProfiles(self, data):
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self.isReady = False
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avg_data = None
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self.putData(data)
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if self.__profIndex == self.nCohInt:
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avg_data, nCohInt = self.pushData()
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self.isReady = True
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return avg_data
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def byTime(self, data, datatime):
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self.isReady = False
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avg_data = None
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if self.__initime == None:
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self.__initime = datatime
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self.putData(data)
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if (datatime - self.__initime) >= self.__integrationtime:
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avg_data, nCohInt = self.pushData()
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self.nCohInt = nCohInt
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self.isReady = True
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return avg_data
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def exe(self, data, datatime=None):
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if not self.__isByTime:
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avg_data = self.byProfiles(data)
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else:
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avg_data = self.byTime(data, datatime)
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self.data = avg_data
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return avg_data
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