schain Commit - r995:39af0b6e404b · Jicamarca Repository

remove prints

Juan C. Espinoza -

r995:39af0b6e404b

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r995:39af0b6e404b

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schainpy/model/io/jroIO_base.py +4 -7

             '''
             Created on Jul 2, 2014
             @author: roj-idl71
             '''
             import os
             import sys
             import glob
             import time
             import numpy
             import fnmatch
             import inspect
             import time, datetime
             import traceback
             import zmq
             try:
                 from gevent import sleep
             except:
                 from time import sleep
             from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader
             from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width
             LOCALTIME = True
             def isNumber(cad):
                 """
                 Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero.
                 Excepciones:
                     Si un determinado string no puede ser convertido a numero
                 Input:
                     str, string al cual se le analiza para determinar si convertible a un numero o no
                 Return:
                     True    :    si el string es uno numerico
                     False   :    no es un string numerico
                 """
                 try:
                     float( cad )
                     return True
                 except:
                     return False
             def isFileInEpoch(filename, startUTSeconds, endUTSeconds):
                 """
                 Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado.
                 Inputs:
                     filename            :    nombre completo del archivo de datos en formato Jicamarca (.r)
                     startUTSeconds      :    fecha inicial del rango seleccionado. La fecha esta dada en
                                              segundos contados desde 01/01/1970.
                     endUTSeconds        :    fecha final del rango seleccionado. La fecha esta dada en
                                              segundos contados desde 01/01/1970.
                 Return:
                     Boolean    :    Retorna True si el archivo de datos contiene datos en el rango de
                                     fecha especificado, de lo contrario retorna False.
                 Excepciones:
                     Si el archivo no existe o no puede ser abierto
                     Si la cabecera no puede ser leida.
                 """
                 basicHeaderObj = BasicHeader(LOCALTIME)
                 try:
                     fp = open(filename,'rb')
                 except IOError:
                     print "The file %s can't be opened" %(filename)
                     return 0
                 sts = basicHeaderObj.read(fp)
                 fp.close()
                 if not(sts):
                     print "Skipping the file %s because it has not a valid header" %(filename)
                     return 0
                 if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)):
                     return 0
                 return 1
             def isTimeInRange(thisTime, startTime, endTime):
                 if endTime >= startTime:
                     if (thisTime < startTime) or (thisTime > endTime):
                         return 0
                     return 1
                 else:
                     if (thisTime < startTime) and (thisTime > endTime):
                         return 0
                     return 1
             def isFileInTimeRange(filename, startDate, endDate, startTime, endTime):
                 """
                 Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado.
                 Inputs:
                     filename            :    nombre completo del archivo de datos en formato Jicamarca (.r)
                     startDate          :    fecha inicial del rango seleccionado en formato datetime.date
                     endDate            :    fecha final del rango seleccionado en formato datetime.date
                     startTime          :    tiempo inicial del rango seleccionado en formato datetime.time
                     endTime            :    tiempo final del rango seleccionado en formato datetime.time
                 Return:
                     Boolean    :    Retorna True si el archivo de datos contiene datos en el rango de
                                     fecha especificado, de lo contrario retorna False.
                 Excepciones:
                     Si el archivo no existe o no puede ser abierto
                     Si la cabecera no puede ser leida.
                 """
                 try:
                     fp = open(filename,'rb')
                 except IOError:
                     print "The file %s can't be opened" %(filename)
                     return None
                 firstBasicHeaderObj = BasicHeader(LOCALTIME)
                 systemHeaderObj = SystemHeader()
                 radarControllerHeaderObj = RadarControllerHeader()
                 processingHeaderObj = ProcessingHeader()
                 lastBasicHeaderObj = BasicHeader(LOCALTIME)
                 sts = firstBasicHeaderObj.read(fp)
                 if not(sts):
                     print "[Reading] Skipping the file %s because it has not a valid header" %(filename)
                     return None
                 if not systemHeaderObj.read(fp):
                     return None
                 if not radarControllerHeaderObj.read(fp):
                     return None
                 if not processingHeaderObj.read(fp):
                     return None
                 filesize = os.path.getsize(filename)
                 offset = processingHeaderObj.blockSize + 24 #header size
                 if filesize <= offset:
                     print "[Reading] %s: This file has not enough data" %filename
                     return None
                 fp.seek(-offset, 2)
                 sts = lastBasicHeaderObj.read(fp)
                 fp.close()
                 thisDatetime = lastBasicHeaderObj.datatime
                 thisTime_last_block = thisDatetime.time()
                 thisDatetime = firstBasicHeaderObj.datatime
                 thisDate = thisDatetime.date()
                 thisTime_first_block = thisDatetime.time()
                 #General case
                 #           o>>>>>>>>>>>>>><<<<<<<<<<<<<<o
                 #-----------o----------------------------o-----------
                 #       startTime                     endTime
                 if endTime >= startTime:
                     if (thisTime_last_block < startTime) or (thisTime_first_block > endTime):
                         return None
                     return thisDatetime
                 #If endTime < startTime then endTime belongs to the next day
                 #<<<<<<<<<<<o                            o>>>>>>>>>>>
                 #-----------o----------------------------o-----------
                 #        endTime                    startTime
                 if (thisDate == startDate) and (thisTime_last_block < startTime):
                     return None
                 if (thisDate == endDate) and (thisTime_first_block > endTime):
                     return None
                 if (thisTime_last_block < startTime) and (thisTime_first_block > endTime):
                     return None
                 return thisDatetime
             def isFolderInDateRange(folder, startDate=None, endDate=None):
                 """
                 Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado.
                 Inputs:
                     folder            :    nombre completo del directorio.
                                            Su formato deberia ser "/path_root/?YYYYDDD"
                                             siendo:
                                                 YYYY    :    Anio         (ejemplo 2015)
                                                 DDD     :    Dia del anio (ejemplo 305)
                     startDate          :    fecha inicial del rango seleccionado en formato datetime.date
                     endDate            :    fecha final del rango seleccionado en formato datetime.date
                 Return:
                     Boolean    :    Retorna True si el archivo de datos contiene datos en el rango de
                                     fecha especificado, de lo contrario retorna False.
                 Excepciones:
                     Si el directorio no tiene el formato adecuado
                 """
                 basename = os.path.basename(folder)
                 if not isRadarFolder(basename):
                     print "The folder %s has not the rigth format" %folder
                     return 0
                 if startDate and endDate:
                     thisDate = getDateFromRadarFolder(basename)
                     if thisDate < startDate:
                         return 0
                     if thisDate > endDate:
                         return 0
                 return 1
             def isFileInDateRange(filename, startDate=None, endDate=None):
                 """
                 Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado.
                 Inputs:
                     filename            :    nombre completo del archivo de datos en formato Jicamarca (.r)
                                            Su formato deberia ser "?YYYYDDDsss"
                                             siendo:
                                                 YYYY    :    Anio         (ejemplo 2015)
                                                 DDD     :    Dia del anio (ejemplo 305)
                                                 sss     :    set
                     startDate          :    fecha inicial del rango seleccionado en formato datetime.date
                     endDate            :    fecha final del rango seleccionado en formato datetime.date
                 Return:
                     Boolean    :    Retorna True si el archivo de datos contiene datos en el rango de
                                     fecha especificado, de lo contrario retorna False.
                 Excepciones:
                     Si el archivo no tiene el formato adecuado
                 """
                 basename = os.path.basename(filename)
                 if not isRadarFile(basename):
                     print "The filename %s has not the rigth format" %filename
                     return 0
                 if startDate and endDate:
                     thisDate = getDateFromRadarFile(basename)
                     if thisDate < startDate:
                         return 0
                     if thisDate > endDate:
                         return 0
                 return 1
             def getFileFromSet(path, ext, set):
                 validFilelist = []
                 fileList = os.listdir(path)
                 # 0 1234 567 89A BCDE
                 # H YYYY DDD SSS .ext
                 for thisFile in fileList:
                     try:
                         year = int(thisFile[1:5])
                         doy  = int(thisFile[5:8])
                     except:
                         continue
                     if (os.path.splitext(thisFile)[-1].lower() != ext.lower()):
                         continue
                     validFilelist.append(thisFile)
                 myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set))
                 if len(myfile)!= 0:
                     return myfile[0]
                 else:
                     filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower())
                     print 'the filename %s does not exist'%filename
                     print '...going to the last file: '
                 if validFilelist:
                     validFilelist = sorted( validFilelist, key=str.lower )
                     return validFilelist[-1]
                 return None
             def getlastFileFromPath(path, ext):
                 """
                 Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext"
                 al final de la depuracion devuelve el ultimo file de la lista que quedo.
                 Input:
                     fileList    :    lista conteniendo todos los files (sin path) que componen una determinada carpeta
                     ext         :    extension de los files contenidos en una carpeta
                 Return:
                     El ultimo file de una determinada carpeta, no se considera el path.
                 """
                 validFilelist = []
                 fileList = os.listdir(path)
                 # 0 1234 567 89A BCDE
                 # H YYYY DDD SSS .ext
                 for thisFile in fileList:
                     year = thisFile[1:5]
                     if not isNumber(year):
                         continue
                     doy = thisFile[5:8]
                     if not isNumber(doy):
                         continue
                     year = int(year)
                     doy = int(doy)
                     if (os.path.splitext(thisFile)[-1].lower() != ext.lower()):
                         continue
                     validFilelist.append(thisFile)
                 if validFilelist:
                     validFilelist = sorted( validFilelist, key=str.lower )
                     return validFilelist[-1]
                 return None
             def checkForRealPath(path, foldercounter, year, doy, set, ext):
                 """
                 Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path,
                 Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar
                 el path exacto de un determinado file.
                 Example    :
                     nombre correcto del file es  .../.../D2009307/P2009307367.ext
                     Entonces la funcion prueba con las siguientes combinaciones
                         .../.../y2009307367.ext
                         .../.../Y2009307367.ext
                         .../.../x2009307/y2009307367.ext
                         .../.../x2009307/Y2009307367.ext
                         .../.../X2009307/y2009307367.ext
                         .../.../X2009307/Y2009307367.ext
                     siendo para este caso, la ultima combinacion de letras, identica al file buscado
                 Return:
                     Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file
                     caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas
                     para el filename
                 """
                 fullfilename = None
                 find_flag = False
                 filename = None
                 prefixDirList = [None,'d','D']
                 if ext.lower() == ".r": #voltage
                     prefixFileList = ['d','D']
                 elif ext.lower() == ".pdata": #spectra
                     prefixFileList = ['p','P']
                 else:
                     return None, filename
                 #barrido por las combinaciones posibles
                 for prefixDir in prefixDirList:
                     thispath = path
                     if prefixDir != None:
                         #formo el nombre del directorio xYYYYDDD (x=d o x=D)
                         if foldercounter == 0:
                             thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy ))
                         else:
                             thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter))
                     for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D"
                         filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext
                         fullfilename = os.path.join( thispath, filename ) #formo el path completo
                         if os.path.exists( fullfilename ): #verifico que exista
                             find_flag = True
                             break
                     if find_flag:
                         break
                 if not(find_flag):
                     return None, filename
                 return fullfilename, filename
             def isRadarFolder(folder):
                 try:
                     year = int(folder[1:5])
                     doy = int(folder[5:8])
                 except:
                     return 0
                 return 1
             def isRadarFile(file):
                     try:
                         year = int(file[1:5])
                         doy = int(file[5:8])
                         set = int(file[8:11])
                     except:
                         return 0
                     return 1
             def getDateFromRadarFile(file):
                 try:
                     year = int(file[1:5])
                     doy = int(file[5:8])
                     set = int(file[8:11])
                 except:
                     return None
                 thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1)
                 return thisDate
             def getDateFromRadarFolder(folder):
                 try:
                     year = int(folder[1:5])
                     doy = int(folder[5:8])
                 except:
                     return None
                 thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1)
                 return thisDate
             class JRODataIO:
                 c = 3E8
                 isConfig = False
                 basicHeaderObj = None
                 systemHeaderObj = None
                 radarControllerHeaderObj = None
                 processingHeaderObj = None
                 dtype = None
                 pathList = []
                 filenameList = []
                 filename = None
                 ext = None
                 flagIsNewFile = 1
                 flagDiscontinuousBlock = 0
                 flagIsNewBlock = 0
                 fp = None
                 firstHeaderSize = 0
                 basicHeaderSize = 24
                 versionFile = 1103
                 fileSize = None
             #     ippSeconds = None
                 fileSizeByHeader = None
                 fileIndex = None
                 profileIndex = None
                 blockIndex = None
                 nTotalBlocks = None
                 maxTimeStep = 30
                 lastUTTime = None
                 datablock = None
                 dataOut = None
                 blocksize = None
                 getByBlock = False
                 def __init__(self):
                     raise NotImplementedError
                 def run(self):
                     raise NotImplementedError
                 def getDtypeWidth(self):
                     dtype_index = get_dtype_index(self.dtype)
                     dtype_width = get_dtype_width(dtype_index)
                     return dtype_width
                 def getAllowedArgs(self):
                     return inspect.getargspec(self.run).args
             class JRODataReader(JRODataIO):
                 online = 0
                 realtime = 0
                 nReadBlocks = 0
                 delay  = 10   #number of seconds waiting a new file
                 nTries  = 3  #quantity tries
                 nFiles = 3   #number of files for searching
                 path = None
                 foldercounter = 0
                 flagNoMoreFiles = 0
                 datetimeList = []
                 __isFirstTimeOnline = 1
                 __printInfo = True
                 profileIndex = None
                 nTxs = 1
                 txIndex = None
                 #Added--------------------
                 selBlocksize = None
                 selBlocktime = None
                 def __init__(self):
                     """
                     This class is used to find data files
                     Example:
                         reader = JRODataReader()
                         fileList = reader.findDataFiles()
                     """
                     pass
                 def createObjByDefault(self):
                     """
                     """
                     raise NotImplementedError
                 def getBlockDimension(self):
                     raise NotImplementedError
                 def __searchFilesOffLine(self,
                                         path,
                                         startDate=None,
                                         endDate=None,
                                         startTime=datetime.time(0,0,0),
                                         endTime=datetime.time(23,59,59),
                                         set=None,
                                         expLabel='',
                                         ext='.r',
                                         queue=None,
                                         cursor=None,
                                         skip=None,
                                         walk=True):
                     self.filenameList = []
                     self.datetimeList = []
                     pathList = []
                     dateList, pathList = self.findDatafiles(path, startDate, endDate, expLabel, ext, walk, include_path=True)
                     if dateList == []:
             #             print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path)
                         return None, None
                     if len(dateList) > 1:
                         print "[Reading] Data found for date range [%s - %s]: total days = %d" %(startDate, endDate, len(dateList))
                     else:
                         print "[Reading] Data found for date range [%s - %s]: date = %s" %(startDate, endDate, dateList[0])
                     filenameList = []
                     datetimeList = []
                     for thisPath in pathList:
             #             thisPath = pathList[pathDict[file]]
                         fileList = glob.glob1(thisPath, "*%s" %ext)
                         fileList.sort()
                         skippedFileList = []
                         if cursor is not None and skip is not None:
                             # if cursor*skip > len(fileList):
                             if skip == 0:
                                 if queue is not None:
                                     queue.put(len(fileList))
                                 skippedFileList = []
                             else:
                                 skippedFileList = fileList[cursor*skip: cursor*skip + skip]
                         else:
                             skippedFileList = fileList
                         for file in skippedFileList:
                             filename = os.path.join(thisPath,file)
                             if not isFileInDateRange(filename, startDate, endDate):
                                 continue
                             thisDatetime = isFileInTimeRange(filename, startDate, endDate, startTime, endTime)
                             if not(thisDatetime):
                                 continue
                             filenameList.append(filename)
                             datetimeList.append(thisDatetime)
                     if not(filenameList):
                         print "[Reading] Time range selected invalid [%s - %s]: No *%s files in %s)" %(startTime, endTime, ext, path)
                         return None, None
                     print "[Reading] %d file(s) was(were) found in time range: %s - %s" %(len(filenameList), startTime, endTime)
                     print
                     for i in range(len(filenameList)):
                         print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime())
                     self.filenameList = filenameList
                     self.datetimeList = datetimeList
                     return pathList, filenameList
                 def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None):
                     """
                     Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y
                     devuelve el archivo encontrado ademas de otros datos.
                     Input:
                         path           :    carpeta donde estan contenidos los files que contiene data
                         expLabel        :     Nombre del subexperimento (subfolder)
                         ext              :    extension de los files
                         walk        :    Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath)
                     Return:
                         directory   :    eL directorio donde esta el file encontrado
                         filename    :    el ultimo file de una determinada carpeta
                         year        :    el anho
                         doy         :    el numero de dia del anho
                         set         :    el set del archivo
                     """
                     if not os.path.isdir(path):
                         return None, None, None, None, None, None
                     dirList = []
                     if not walk:
                         fullpath = path
                         foldercounter = 0
                     else:
                         #Filtra solo los directorios
                         for thisPath in os.listdir(path):
                             if not os.path.isdir(os.path.join(path,thisPath)):
                                 continue
                             if not isRadarFolder(thisPath):
                                 continue
                             dirList.append(thisPath)
                         if not(dirList):
                             return None, None, None, None, None, None
                         dirList = sorted( dirList, key=str.lower )
                         doypath = dirList[-1]
                         foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0
                         fullpath = os.path.join(path, doypath, expLabel)
                     print "[Reading] %s folder was found: " %(fullpath )
                     if set == None:
                         filename = getlastFileFromPath(fullpath, ext)
                     else:
                         filename = getFileFromSet(fullpath, ext, set)
                     if not(filename):
                         return None, None, None, None, None, None
                     print "[Reading] %s file was found" %(filename)
                     if not(self.__verifyFile(os.path.join(fullpath, filename))):
                         return None, None, None, None, None, None
                     year = int( filename[1:5] )
                     doy  = int( filename[5:8] )
                     set  = int( filename[8:11] )
                     return fullpath, foldercounter, filename, year, doy, set
                 def __setNextFileOffline(self):
                     idFile = self.fileIndex
                     while (True):
                         idFile += 1
                         if not(idFile < len(self.filenameList)):
                             self.flagNoMoreFiles = 1
             #                 print "[Reading] No more Files"
                             return 0
                         filename = self.filenameList[idFile]
                         if not(self.__verifyFile(filename)):
                             continue
                         fileSize = os.path.getsize(filename)
                         fp = open(filename,'rb')
                         break
                     self.flagIsNewFile = 1
                     self.fileIndex = idFile
                     self.filename = filename
                     self.fileSize = fileSize
                     self.fp = fp
             #         print "[Reading] Setting the file: %s"%self.filename
                     return 1
                 def __setNextFileOnline(self):
                     """
                     Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si
                     no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files
                     siguientes.
                     Affected:
                         self.flagIsNewFile
                         self.filename
                         self.fileSize
                         self.fp
                         self.set
                         self.flagNoMoreFiles
                     Return:
 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado
 : si el file fue abierto con exito y esta listo a ser leido
                     Excepciones:
                         Si un determinado file no puede ser abierto
                     """
                     nFiles = 0
                     fileOk_flag = False
                     firstTime_flag = True
                     self.set += 1
                     if self.set > 999:
                         self.set = 0
                         self.foldercounter += 1
                     #busca el 1er file disponible
                     fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext )
                     if fullfilename:
                         if self.__verifyFile(fullfilename, False):
                             fileOk_flag = True
                     #si no encuentra un file entonces espera y vuelve a buscar
                     if not(fileOk_flag):
                         for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles
                             if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces
                                 tries = self.nTries
                             else:
                                 tries = 1 #si no es la 1era vez entonces solo lo hace una vez
                             for nTries in range( tries ):
                                 if firstTime_flag:
                                     print "\t[Reading] Waiting %0.2f sec for the next file: \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 )
                                     sleep( self.delay )
                                 else:
                                     print "\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext)
                                 fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext )
                                 if fullfilename:
                                     if self.__verifyFile(fullfilename):
                                         fileOk_flag = True
                                         break
                             if fileOk_flag:
                                 break
                             firstTime_flag = False
                             print "\t[Reading] Skipping the file \"%s\" due to this file doesn't exist" % filename
                             self.set += 1
                             if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta
                                 self.set = 0
                                 self.doy += 1
                                 self.foldercounter = 0
                     if fileOk_flag:
                         self.fileSize = os.path.getsize( fullfilename )
                         self.filename = fullfilename
                         self.flagIsNewFile = 1
                         if self.fp != None: self.fp.close()
                         self.fp = open(fullfilename, 'rb')
                         self.flagNoMoreFiles = 0
             #             print '[Reading] Setting the file: %s' % fullfilename
                     else:
                         self.fileSize = 0
                         self.filename = None
                         self.flagIsNewFile = 0
                         self.fp = None
                         self.flagNoMoreFiles = 1
             #             print '[Reading] No more files to read'
                     return fileOk_flag
                 def setNextFile(self):
                     if self.fp != None:
                         self.fp.close()
                     if self.online:
                         newFile = self.__setNextFileOnline()
                     else:
                         newFile = self.__setNextFileOffline()
                     if not(newFile):
                         print '[Reading] No more files to read'
                         return 0
                     if self.verbose:
                         print '[Reading] Setting the file: %s' % self.filename
                     self.__readFirstHeader()
                     self.nReadBlocks = 0
                     return 1
                 def __waitNewBlock(self):
                     """
                     Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma.
                     Si el modo de lectura es OffLine siempre retorn 0
                     """
                     if not self.online:
                         return 0
                     if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile):
                         return 0
                     currentPointer = self.fp.tell()
                     neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize
                     for nTries in range( self.nTries ):
                         self.fp.close()
                         self.fp = open( self.filename, 'rb' )
                         self.fp.seek( currentPointer )
                         self.fileSize = os.path.getsize( self.filename )
                         currentSize = self.fileSize - currentPointer
                         if ( currentSize >= neededSize ):
                             self.basicHeaderObj.read(self.fp)
                             return 1
                         if self.fileSize == self.fileSizeByHeader:
             #                self.flagEoF = True
                             return 0
                         print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1)
                         sleep( self.delay )
                     return 0
                 def waitDataBlock(self,pointer_location):
                     currentPointer = pointer_location
                     neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize
                     for nTries in range( self.nTries ):
                         self.fp.close()
                         self.fp = open( self.filename, 'rb' )
                         self.fp.seek( currentPointer )
                         self.fileSize = os.path.getsize( self.filename )
                         currentSize = self.fileSize - currentPointer
                         if ( currentSize >= neededSize ):
                             return 1
                         print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1)
                         sleep( self.delay )
                     return 0
                 def __jumpToLastBlock(self):
                     if not(self.__isFirstTimeOnline):
                         return
                     csize = self.fileSize - self.fp.tell()
                     blocksize = self.processingHeaderObj.blockSize
                     #salta el primer bloque de datos
                     if csize > self.processingHeaderObj.blockSize:
                         self.fp.seek(self.fp.tell() + blocksize)
                     else:
                         return
                     csize = self.fileSize - self.fp.tell()
                     neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize
                     while True:
                         if self.fp.tell()<self.fileSize:
                             self.fp.seek(self.fp.tell() + neededsize)
                         else:
                             self.fp.seek(self.fp.tell() - neededsize)
                             break
             #        csize = self.fileSize - self.fp.tell()
             #        neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize
             #        factor = int(csize/neededsize)
             #        if factor > 0:
             #            self.fp.seek(self.fp.tell() + factor*neededsize)
                     self.flagIsNewFile = 0
                     self.__isFirstTimeOnline = 0
                 def __setNewBlock(self):
                     #if self.server is None:
                     if self.fp == None:
                         return 0
             #         if self.online:
             #             self.__jumpToLastBlock()
-                    print 'xxxx'
                     if self.flagIsNewFile:
                         self.lastUTTime = self.basicHeaderObj.utc
                         return 1
                     if self.realtime:
                         self.flagDiscontinuousBlock = 1
                         if not(self.setNextFile()):
                             return 0
                         else:
                             return 1
-                    print 'xxxx'
                     #if self.server is None:
                     currentSize = self.fileSize - self.fp.tell()
                     neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize
                     if (currentSize >= neededSize):
                         self.basicHeaderObj.read(self.fp)
                         self.lastUTTime = self.basicHeaderObj.utc
                         return 1
                     # else:
                     #     self.basicHeaderObj.read(self.zHeader)
                     #     self.lastUTTime = self.basicHeaderObj.utc
                     #     return 1
                     if self.__waitNewBlock():
                         self.lastUTTime = self.basicHeaderObj.utc
                         return 1
                     #if self.server is None:
                     if not(self.setNextFile()):
                         return 0
                     deltaTime = self.basicHeaderObj.utc - self.lastUTTime #
                     self.lastUTTime = self.basicHeaderObj.utc
                     self.flagDiscontinuousBlock = 0
                     if deltaTime > self.maxTimeStep:
                         self.flagDiscontinuousBlock = 1
                     return 1
                 def readNextBlock(self):
                     #Skip block out of startTime and endTime
                     while True:
-                        print 'cxxxx'
                         if not(self.__setNewBlock()):
                             print 'returning'
                             return 0
-                        print 'dxxx'
                         if not(self.readBlock()):
                             return 0
                         self.getBasicHeader()
                         if not isTimeInRange(self.dataOut.datatime.time(), self.startTime, self.endTime):
                             print "[Reading] Block No. %d/%d -> %s [Skipping]" %(self.nReadBlocks,
                                                                           self.processingHeaderObj.dataBlocksPerFile,
                                                                           self.dataOut.datatime.ctime())
                             continue
                         break
                     if self.verbose:
                         print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks,
                                                                   self.processingHeaderObj.dataBlocksPerFile,
                                                                   self.dataOut.datatime.ctime())
                     return 1
                 def __readFirstHeader(self):
                     self.basicHeaderObj.read(self.fp)
                     self.systemHeaderObj.read(self.fp)
                     self.radarControllerHeaderObj.read(self.fp)
                     self.processingHeaderObj.read(self.fp)
                     self.firstHeaderSize = self.basicHeaderObj.size
                     datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR))
                     if datatype == 0:
                         datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')])
                     elif datatype == 1:
                         datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')])
                     elif datatype == 2:
                         datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')])
                     elif datatype == 3:
                         datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')])
                     elif datatype == 4:
                         datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')])
                     elif datatype == 5:
                         datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')])
                     else:
                         raise ValueError, 'Data type was not defined'
                     self.dtype = datatype_str
                     #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c
                     self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1)
             #        self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels)
             #        self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels)
                     self.getBlockDimension()
                 def __verifyFile(self, filename, msgFlag=True):
                     msg = None
                     try:
                         fp = open(filename, 'rb')
                     except IOError:
                         if msgFlag:
                             print "[Reading] File %s can't be opened" % (filename)
                         return False
                     currentPosition = fp.tell()
                     neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize
                     if neededSize == 0:
                         basicHeaderObj = BasicHeader(LOCALTIME)
                         systemHeaderObj = SystemHeader()
                         radarControllerHeaderObj = RadarControllerHeader()
                         processingHeaderObj = ProcessingHeader()
                         if not( basicHeaderObj.read(fp) ):
                             fp.close()
                             return False
                         if not( systemHeaderObj.read(fp) ):
                             fp.close()
                             return False
                         if not( radarControllerHeaderObj.read(fp) ):
                             fp.close()
                             return False
                         if not( processingHeaderObj.read(fp) ):
                             fp.close()
                             return False
                         neededSize = processingHeaderObj.blockSize + basicHeaderObj.size
                     else:
                         msg = "[Reading] Skipping the file %s due to it hasn't enough data" %filename
                     fp.close()
                     fileSize = os.path.getsize(filename)
                     currentSize = fileSize - currentPosition
                     if currentSize < neededSize:
                         if msgFlag and (msg != None):
                             print msg
                         return False
                     return True
                 def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False):
                     path_empty = True
                     dateList = []
                     pathList = []
                     multi_path = path.split(',')
                     if not walk:
                         for single_path in multi_path:
                             if not os.path.isdir(single_path):
                                 continue
                             fileList = glob.glob1(single_path, "*"+ext)
                             if not fileList:
                                 continue
                             path_empty = False
                             fileList.sort()
                             for thisFile in fileList:
                                 if not os.path.isfile(os.path.join(single_path, thisFile)):
                                     continue
                                 if not isRadarFile(thisFile):
                                     continue
                                 if not isFileInDateRange(thisFile, startDate, endDate):
                                     continue
                                 thisDate = getDateFromRadarFile(thisFile)
                                 if thisDate in dateList:
                                     continue
                                 dateList.append(thisDate)
                                 pathList.append(single_path)
                     else:
                         for single_path in multi_path:
                             if not os.path.isdir(single_path):
                                 continue
                             dirList = []
                             for thisPath in os.listdir(single_path):
                                 if not os.path.isdir(os.path.join(single_path,thisPath)):
                                     continue
                                 if not isRadarFolder(thisPath):
                                     continue
                                 if not isFolderInDateRange(thisPath, startDate, endDate):
                                     continue
                                 dirList.append(thisPath)
                             if not dirList:
                                 continue
                             dirList.sort()
                             for thisDir in dirList:
                                 datapath = os.path.join(single_path, thisDir, expLabel)
                                 fileList = glob.glob1(datapath, "*"+ext)
                                 if not fileList:
                                     continue
                                 path_empty = False
                                 thisDate = getDateFromRadarFolder(thisDir)
                                 pathList.append(datapath)
                                 dateList.append(thisDate)
                     dateList.sort()
                     if walk:
                         pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel)
                     else:
                         pattern_path = multi_path[0]
                     if path_empty:
                         print "[Reading] No *%s files in %s for %s to %s" %(ext, pattern_path, startDate, endDate)
                     else:
                         if not dateList:
                             print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path)
                     if include_path:
                         return dateList, pathList
                     return dateList
                 def setup(self,
                             path=None,
                             startDate=None,
                             endDate=None,
                             startTime=datetime.time(0,0,0),
                             endTime=datetime.time(23,59,59),
                             set=None,
                             expLabel = "",
                             ext = None,
                             online = False,
                             delay = 60,
                             walk = True,
                             getblock = False,
                             nTxs = 1,
                             realtime=False,
                             blocksize=None,
                             blocktime=None,
                             queue=None,
                             skip=None,
                             cursor=None,
                             warnings=True,
                             verbose=True,
                             server=None):
                     if server is not None:
                         if 'tcp://' in server:
                             address = server
                         else:
                             address = 'ipc:///tmp/%s' % server
                         self.server = address
                         self.context = zmq.Context()
                         self.receiver = self.context.socket(zmq.PULL)
                         self.receiver.connect(self.server)
                         time.sleep(0.5)
                         print '[Starting] ReceiverData from {}'.format(self.server)
                     else:
                         self.server = None
                         if path == None:
                             raise ValueError, "[Reading] The path is not valid"
                         if ext == None:
                             ext = self.ext
                         if online:
                             print "[Reading] Searching files in online mode..."
                             for nTries in range( self.nTries ):
                                 fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set)
                                 if fullpath:
                                     break
                                 print '[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1)
                                 sleep( self.delay )
                             if not(fullpath):
                                 print "[Reading] There 'isn't any valid file in %s" % path
                                 return
                             self.year = year
                             self.doy  = doy
                             self.set  = set - 1
                             self.path = path
                             self.foldercounter = foldercounter
                             last_set = None
                         else:
                             print "[Reading] Searching files in offline mode ..."
                             pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate,
                                                                             startTime=startTime, endTime=endTime,
                                                                             set=set, expLabel=expLabel, ext=ext,
                                                                             walk=walk, cursor=cursor,
                                                                             skip=skip, queue=queue)
                             if not(pathList):
                         #      print "[Reading] No *%s files in %s (%s - %s)"%(ext, path,
                         #                                          datetime.datetime.combine(startDate,startTime).ctime(),
                         #                                           datetime.datetime.combine(endDate,endTime).ctime())
                         #     sys.exit(-1)
                                 self.fileIndex = -1
                                 self.pathList = []
                                 self.filenameList = []
                                 return
                             self.fileIndex = -1
                             self.pathList = pathList
                             self.filenameList = filenameList
                             file_name = os.path.basename(filenameList[-1])
                             basename, ext = os.path.splitext(file_name)
                             last_set = int(basename[-3:])
                         self.online = online
                         self.realtime = realtime
                         self.delay = delay
                         ext = ext.lower()
                         self.ext = ext
                         self.getByBlock = getblock
                         self.nTxs = nTxs
                         self.startTime = startTime
                         self.endTime = endTime
                         #Added-----------------
                         self.selBlocksize = blocksize
                         self.selBlocktime = blocktime
                         # Verbose-----------
                         self.verbose = verbose
                         self.warnings = warnings
                         if not(self.setNextFile()):
                             if (startDate!=None) and (endDate!=None):
                                 print "[Reading] No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime())
                             elif startDate != None:
                                 print "[Reading] No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime())
                             else:
                                 print "[Reading] No files"
                                 self.fileIndex = -1
                                 self.pathList = []
                                 self.filenameList = []
                                 return
                 #         self.getBasicHeader()
                         if last_set != None:
                             self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock
                     return
                 def getBasicHeader(self):
                     self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds
                     self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock
                     self.dataOut.timeZone = self.basicHeaderObj.timeZone
                     self.dataOut.dstFlag = self.basicHeaderObj.dstFlag
                     self.dataOut.errorCount = self.basicHeaderObj.errorCount
                     self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime
                     self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs
             #         self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs
                 def getFirstHeader(self):
                     raise NotImplementedError
                 def getData(self):
                     raise NotImplementedError
                 def hasNotDataInBuffer(self):
                     raise NotImplementedError
                 def readBlock(self):
                     raise NotImplementedError
                 def isEndProcess(self):
                     return self.flagNoMoreFiles
                 def printReadBlocks(self):
                     print "[Reading] Number of read blocks per file %04d" %self.nReadBlocks
                 def printTotalBlocks(self):
                     print "[Reading] Number of read blocks %04d" %self.nTotalBlocks
                 def printNumberOfBlock(self):
                     if self.flagIsNewBlock:
                         print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks,
                                                                   self.processingHeaderObj.dataBlocksPerFile,
                                                                   self.dataOut.datatime.ctime())
                 def printInfo(self):
                     if self.__printInfo == False:
                         return
                     self.basicHeaderObj.printInfo()
                     self.systemHeaderObj.printInfo()
                     self.radarControllerHeaderObj.printInfo()
                     self.processingHeaderObj.printInfo()
                     self.__printInfo = False
                 def run(self,
                             path=None,
                             startDate=None,
                             endDate=None,
                             startTime=datetime.time(0,0,0),
                             endTime=datetime.time(23,59,59),
                             set=None,
                             expLabel = "",
                             ext = None,
                             online = False,
                             delay = 60,
                             walk = True,
                             getblock = False,
                             nTxs = 1,
                             realtime=False,
                             blocksize=None,
                             blocktime=None,
                             queue=None,
                             skip=None,
                             cursor=None,
                             warnings=True,
                             server=None,
                             verbose=True, **kwargs):
                     if not(self.isConfig):
             #            self.dataOut = dataOut
                         self.setup( path=path,
                                     startDate=startDate,
                                     endDate=endDate,
                                     startTime=startTime,
                                     endTime=endTime,
                                     set=set,
                                     expLabel=expLabel,
                                     ext=ext,
                                     online=online,
                                     delay=delay,
                                     walk=walk,
                                     getblock=getblock,
                                     nTxs=nTxs,
                                     realtime=realtime,
                                     blocksize=blocksize,
                                     blocktime=blocktime,
                                     queue=queue,
                                     skip=skip,
                                     cursor=cursor,
                                     warnings=warnings,
                                     server=server,
                                     verbose=verbose)
                         self.isConfig = True
                     if server is None:
                         self.getData()
                     else:
                         self.getFromServer()
             class JRODataWriter(JRODataIO):
                 """
                 Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura
                 de los datos siempre se realiza por bloques.
                 """
                 blockIndex = 0
                 path = None
                 setFile = None
                 profilesPerBlock = None
                 blocksPerFile = None
                 nWriteBlocks = 0
                 fileDate = None
                 def __init__(self, dataOut=None):
                     raise NotImplementedError
                 def hasAllDataInBuffer(self):
                     raise NotImplementedError
                 def setBlockDimension(self):
                     raise NotImplementedError
                 def writeBlock(self):
                     raise NotImplementedError
                 def putData(self):
                     raise NotImplementedError
                 def getProcessFlags(self):
                     processFlags = 0
                     dtype_index = get_dtype_index(self.dtype)
                     procflag_dtype = get_procflag_dtype(dtype_index)
                     processFlags += procflag_dtype
                     if self.dataOut.flagDecodeData:
                         processFlags += PROCFLAG.DECODE_DATA
                     if self.dataOut.flagDeflipData:
                         processFlags += PROCFLAG.DEFLIP_DATA
                     if self.dataOut.code is not None:
                         processFlags += PROCFLAG.DEFINE_PROCESS_CODE
                     if self.dataOut.nCohInt > 1:
                         processFlags += PROCFLAG.COHERENT_INTEGRATION
                     if self.dataOut.type == "Spectra":
                         if self.dataOut.nIncohInt > 1:
                             processFlags += PROCFLAG.INCOHERENT_INTEGRATION
                         if self.dataOut.data_dc is not None:
                             processFlags += PROCFLAG.SAVE_CHANNELS_DC
                         if self.dataOut.flagShiftFFT:
                             processFlags += PROCFLAG.SHIFT_FFT_DATA
                     return processFlags
                 def setBasicHeader(self):
                     self.basicHeaderObj.size = self.basicHeaderSize #bytes
                     self.basicHeaderObj.version = self.versionFile
                     self.basicHeaderObj.dataBlock = self.nTotalBlocks
                     utc = numpy.floor(self.dataOut.utctime)
                     milisecond  = (self.dataOut.utctime - utc)* 1000.0
                     self.basicHeaderObj.utc = utc
                     self.basicHeaderObj.miliSecond = milisecond
                     self.basicHeaderObj.timeZone = self.dataOut.timeZone
                     self.basicHeaderObj.dstFlag = self.dataOut.dstFlag
                     self.basicHeaderObj.errorCount = self.dataOut.errorCount
                 def setFirstHeader(self):
                     """
                     Obtiene una copia del First Header
                     Affected:
                         self.basicHeaderObj
                         self.systemHeaderObj
                         self.radarControllerHeaderObj
                         self.processingHeaderObj self.
                     Return:
                         None
                     """
                     raise NotImplementedError
                 def __writeFirstHeader(self):
                     """
                     Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader)
                     Affected:
                         __dataType
                     Return:
                         None
                     """
             #        CALCULAR PARAMETROS
                     sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size
                     self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader
                     self.basicHeaderObj.write(self.fp)
                     self.systemHeaderObj.write(self.fp)
                     self.radarControllerHeaderObj.write(self.fp)
                     self.processingHeaderObj.write(self.fp)
                 def __setNewBlock(self):
                     """
                     Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header
                     Return:
 :    si no pudo escribir nada
 :    Si escribio el Basic el First Header
                     """
                     if self.fp == None:
                         self.setNextFile()
                     if self.flagIsNewFile:
                         return 1
                     if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile:
                         self.basicHeaderObj.write(self.fp)
                         return 1
                     if not( self.setNextFile() ):
                         return 0
                     return 1
                 def writeNextBlock(self):
                     """
                     Selecciona el bloque siguiente de datos y los escribe en un file
                     Return:
 :    Si no hizo pudo escribir el bloque de datos
 :    Si no pudo escribir el bloque de datos
                     """
                     if not( self.__setNewBlock() ):
                         return 0
                     self.writeBlock()
                     print "[Writing] Block No. %d/%d" %(self.blockIndex,
                                                         self.processingHeaderObj.dataBlocksPerFile)
                     return 1
                 def setNextFile(self):
                     """
                     Determina el siguiente file que sera escrito
                     Affected:
                         self.filename
                         self.subfolder
                         self.fp
                         self.setFile
                         self.flagIsNewFile
                     Return:
 :    Si el archivo no puede ser escrito
 :    Si el archivo esta listo para ser escrito
                     """
                     ext = self.ext
                     path = self.path
                     if self.fp != None:
                         self.fp.close()
                     timeTuple = time.localtime( self.dataOut.utctime)
                     subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday)
                     fullpath = os.path.join( path, subfolder )
                     setFile = self.setFile
                     if not( os.path.exists(fullpath) ):
                         os.mkdir(fullpath)
                         setFile = -1 #inicializo mi contador de seteo
                     else:
                         filesList = os.listdir( fullpath )
                         if len( filesList ) > 0:
                             filesList = sorted( filesList, key=str.lower )
                             filen = filesList[-1]
                             # el filename debera tener el siguiente formato
                             # 0 1234 567 89A BCDE (hex)
                             # x YYYY DDD SSS .ext
                             if isNumber( filen[8:11] ):
                                 setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file
                             else:
                                 setFile = -1
                         else:
                             setFile = -1 #inicializo mi contador de seteo
                     setFile += 1
                     #If this is a new day it resets some values
                     if self.dataOut.datatime.date() > self.fileDate:
                         setFile = 0
                         self.nTotalBlocks = 0
                     filen = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext )
                     filename = os.path.join( path, subfolder, filen )
                     fp = open( filename,'wb' )
                     self.blockIndex = 0
                     #guardando atributos
                     self.filename = filename
                     self.subfolder = subfolder
                     self.fp = fp
                     self.setFile = setFile
                     self.flagIsNewFile = 1
                     self.fileDate = self.dataOut.datatime.date()
                     self.setFirstHeader()
                     print '[Writing] Opening file: %s'%self.filename
                     self.__writeFirstHeader()
                     return 1
                 def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4):
                     """
                     Setea el tipo de formato en la cual sera guardada la data y escribe el First Header
                     Inputs:
                         path                :    directory where data will be saved
                         profilesPerBlock    :    number of profiles per block
                         set                 :    initial file set
                         datatype            :    An integer number that defines data type:
 : int8  (1 byte)
 : int16 (2 bytes)
 : int32 (4 bytes)
 : int64 (8 bytes)
 : float32 (4 bytes)
 : double64 (8 bytes)
                     Return:
 :    Si no realizo un buen seteo
 :    Si realizo un buen seteo
                     """
                     if ext == None:
                         ext = self.ext
                     self.ext = ext.lower()
                     self.path = path
                     if set is None:
                         self.setFile = -1
                     else:
                         self.setFile = set - 1
                     self.blocksPerFile = blocksPerFile
                     self.profilesPerBlock = profilesPerBlock
                     self.dataOut = dataOut
                     self.fileDate = self.dataOut.datatime.date()
                     #By default
                     self.dtype = self.dataOut.dtype
                     if datatype is not None:
                         self.dtype = get_numpy_dtype(datatype)
                     if not(self.setNextFile()):
                         print "[Writing] There isn't a next file"
                         return 0
                     self.setBlockDimension()
                     return 1
                 def run(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs):
                     if not(self.isConfig):
                         self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, set=set, ext=ext, datatype=datatype, **kwargs)
                         self.isConfig = True
                     self.putData()

schainpy/model/io/jroIO_voltage.py 0 -2

             '''
             Created on Jul 2, 2014
             @author: roj-idl71
             '''
             import numpy
             from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter
             from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation
             from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader
             from schainpy.model.data.jrodata import Voltage
             import zmq
             import tempfile
             from StringIO import StringIO
             # from _sha import blocksize
             class VoltageReader(JRODataReader, ProcessingUnit):
                 """
                 Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura
                 de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones:
                 perfiles*alturas*canales) son almacenados en la variable "buffer".
                                          perfiles * alturas * canales
                 Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader,
                 RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la
                 cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de
                 datos desde el "buffer" cada vez que se ejecute el metodo "getData".
                 Example:
                     dpath = "/home/myuser/data"
                     startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0)
                     endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0)
                     readerObj = VoltageReader()
                     readerObj.setup(dpath, startTime, endTime)
                     while(True):
                         #to get one profile
                         profile =  readerObj.getData()
                         #print the profile
                         print profile
                         #If you want to see all datablock
                         print readerObj.datablock
                         if readerObj.flagNoMoreFiles:
                             break
                 """
                 ext = ".r"
                 optchar = "D"
                 dataOut = None
                 def __init__(self, **kwargs):
                     """
                     Inicializador de la clase VoltageReader para la lectura de datos de voltage.
                     Input:
                         dataOut    :    Objeto de la clase Voltage. Este objeto sera utilizado para
                                           almacenar un perfil de datos cada vez que se haga un requerimiento
                                           (getData). El perfil sera obtenido a partir del buffer de datos,
                                           si el buffer esta vacio se hara un nuevo proceso de lectura de un
                                           bloque de datos.
                                           Si este parametro no es pasado se creara uno internamente.
                     Variables afectadas:
                         self.dataOut
                     Return:
                         None
                     """
                     ProcessingUnit.__init__(self, **kwargs)
                     self.isConfig = False
                     self.datablock = None
                     self.utc = 0
                     self.ext = ".r"
                     self.optchar = "D"
                     self.basicHeaderObj = BasicHeader(LOCALTIME)
                     self.systemHeaderObj = SystemHeader()
                     self.radarControllerHeaderObj = RadarControllerHeader()
                     self.processingHeaderObj = ProcessingHeader()
                     self.online = 0
                     self.fp = None
                     self.idFile = None
                     self.dtype = None
                     self.fileSizeByHeader = None
                     self.filenameList = []
                     self.filename = None
                     self.fileSize = None
                     self.firstHeaderSize = 0
                     self.basicHeaderSize = 24
                     self.pathList = []
                     self.filenameList = []
                     self.lastUTTime = 0
                     self.maxTimeStep = 30
                     self.flagNoMoreFiles = 0
                     self.set = 0
                     self.path = None
                     self.profileIndex = 2**32-1
                     self.delay  = 3   #seconds
                     self.nTries  = 3  #quantity tries
                     self.nFiles = 3   #number of files for searching
                     self.nReadBlocks = 0
                     self.flagIsNewFile = 1
                     self.__isFirstTimeOnline = 1
             #         self.ippSeconds = 0
                     self.flagDiscontinuousBlock = 0
                     self.flagIsNewBlock = 0
                     self.nTotalBlocks = 0
                     self.blocksize = 0
                     self.dataOut = self.createObjByDefault()
                     self.nTxs = 1
                     self.txIndex = 0
                 def createObjByDefault(self):
                     dataObj = Voltage()
                     return dataObj
                 def __hasNotDataInBuffer(self):
                     if self.profileIndex >= self.processingHeaderObj.profilesPerBlock*self.nTxs:
                         return 1
                     return 0
                 def getBlockDimension(self):
                     """
                     Obtiene la cantidad de puntos a leer por cada bloque de datos
                     Affected:
                         self.blocksize
                     Return:
                         None
                     """
                     pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels
                     self.blocksize = pts2read
                 def readBlock(self):
                     """
                     readBlock lee el bloque de datos desde la posicion actual del puntero del archivo
                     (self.fp) y actualiza todos los parametros relacionados al bloque de datos
                     (metadata + data). La data leida es almacenada en el buffer y el contador del buffer
                     es seteado a 0
                     Inputs:
                         None
                     Return:
                         None
                     Affected:
                         self.profileIndex
                         self.datablock
                         self.flagIsNewFile
                         self.flagIsNewBlock
                         self.nTotalBlocks
                     Exceptions:
                         Si un bloque leido no es un bloque valido
                     """
-                    print 'READ BLOCK'
                     # if self.server is not None:
                     #     self.zBlock = self.receiver.recv()
                     #     self.zHeader = self.zBlock[:24]
                     #     self.zDataBlock = self.zBlock[24:]
                     #     junk = numpy.fromstring(self.zDataBlock, numpy.dtype([('real','<i4'),('imag','<i4')]))
                     #     self.processingHeaderObj.profilesPerBlock = 240
                     #     self.processingHeaderObj.nHeights = 248
                     #     self.systemHeaderObj.nChannels
                     # else:
                     current_pointer_location = self.fp.tell()
                     junk = numpy.fromfile( self.fp, self.dtype, self.blocksize )
                     try:
                         junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) )
-                        print'junked'
                     except:
                         #print "The read block (%3d) has not enough data" %self.nReadBlocks
                         if self.waitDataBlock(pointer_location=current_pointer_location):
                             junk = numpy.fromfile( self.fp, self.dtype, self.blocksize )
                             junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) )
             #             return 0
                     #Dimensions : nChannels, nProfiles, nSamples
                     junk = numpy.transpose(junk, (2,0,1))
                     self.datablock = junk['real'] + junk['imag']*1j
                     self.profileIndex = 0
                     self.flagIsNewFile = 0
                     self.flagIsNewBlock = 1
                     self.nTotalBlocks += 1
                     self.nReadBlocks += 1
                     return 1
                 def getFirstHeader(self):
                     self.getBasicHeader()
                     self.dataOut.systemHeaderObj = self.systemHeaderObj.copy()
                     self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy()
                     if self.nTxs > 1:
                         self.dataOut.radarControllerHeaderObj.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs
                     #Time interval and code are propierties of dataOut. Its value depends of radarControllerHeaderObj.
             #         self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt
             #
             #         if self.radarControllerHeaderObj.code is not None:
             #
             #             self.dataOut.nCode = self.radarControllerHeaderObj.nCode
             #
             #             self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud
             #
             #             self.dataOut.code = self.radarControllerHeaderObj.code
                     self.dataOut.dtype = self.dtype
                     self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock
                     self.dataOut.heightList = numpy.arange(self.processingHeaderObj.nHeights) *self.processingHeaderObj.deltaHeight +  self.processingHeaderObj.firstHeight
                     self.dataOut.channelList = range(self.systemHeaderObj.nChannels)
                     self.dataOut.nCohInt = self.processingHeaderObj.nCohInt
                     self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode #asumo q la data no esta decodificada
                     self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip #asumo q la data no esta sin flip
                     self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft
                 def reshapeData(self):
                     if self.nTxs < 0:
                         return
                     if self.nTxs == 1:
                         return
                     if self.nTxs < 1 and self.processingHeaderObj.profilesPerBlock % (1./self.nTxs) != 0:
                         raise ValueError, "1./nTxs (=%f), should be a multiple of nProfiles (=%d)" %(1./self.nTxs, self.processingHeaderObj.profilesPerBlock)
                     if self.nTxs > 1 and self.processingHeaderObj.nHeights % self.nTxs != 0:
                         raise ValueError, "nTxs (=%d), should be a multiple of nHeights (=%d)" %(self.nTxs, self.processingHeaderObj.nHeights)
                     self.datablock = self.datablock.reshape((self.systemHeaderObj.nChannels, self.processingHeaderObj.profilesPerBlock*self.nTxs, self.processingHeaderObj.nHeights/self.nTxs))
                     self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs
                     self.dataOut.heightList = numpy.arange(self.processingHeaderObj.nHeights/self.nTxs) *self.processingHeaderObj.deltaHeight +  self.processingHeaderObj.firstHeight
                     self.dataOut.radarControllerHeaderObj.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs
                     return
                 def readFirstHeaderFromServer(self):
                     self.getFirstHeader()
                     self.firstHeaderSize = self.basicHeaderObj.size
                     datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR))
                     if datatype == 0:
                         datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')])
                     elif datatype == 1:
                         datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')])
                     elif datatype == 2:
                         datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')])
                     elif datatype == 3:
                         datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')])
                     elif datatype == 4:
                         datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')])
                     elif datatype == 5:
                         datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')])
                     else:
                         raise ValueError, 'Data type was not defined'
                     self.dtype = datatype_str
                     #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c
                     self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1)
             #        self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels)
             #        self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels)
                     self.getBlockDimension()
                 def getFromServer(self):
                     self.flagDiscontinuousBlock = 0
                     self.profileIndex = 0
                     self.flagIsNewBlock = 1
                     self.dataOut.flagNoData = False
                     self.nTotalBlocks += 1
                     self.nReadBlocks += 1
                     self.blockPointer = 0
                     block = self.receiver.recv()
                     self.basicHeaderObj.read(block[self.blockPointer:])
                     self.blockPointer += self.basicHeaderObj.length
                     self.systemHeaderObj.read(block[self.blockPointer:])
                     self.blockPointer += self.systemHeaderObj.length
                     self.radarControllerHeaderObj.read(block[self.blockPointer:])
                     self.blockPointer += self.radarControllerHeaderObj.length
                     self.processingHeaderObj.read(block[self.blockPointer:])
                     self.blockPointer += self.processingHeaderObj.length
                     self.readFirstHeaderFromServer()
                     timestamp = self.basicHeaderObj.get_datatime()
                     print '[Reading] - Block {} - {}'.format(self.nTotalBlocks, timestamp)
                     current_pointer_location = self.blockPointer
                     junk = numpy.fromstring( block[self.blockPointer:], self.dtype, self.blocksize )
                     try:
                         junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) )
                     except:
                         #print "The read block (%3d) has not enough data" %self.nReadBlocks
                         if self.waitDataBlock(pointer_location=current_pointer_location):
                             junk = numpy.fromstring( block[self.blockPointer:], self.dtype, self.blocksize )
                             junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) )
             #             return 0
                     #Dimensions : nChannels, nProfiles, nSamples
                     junk = numpy.transpose(junk, (2,0,1))
                     self.datablock = junk['real'] + junk['imag'] * 1j
                     self.profileIndex = 0
                     if self.selBlocksize == None: self.selBlocksize = self.dataOut.nProfiles
                     if self.selBlocktime != None:
                         if self.dataOut.nCohInt is not None:
                             nCohInt = self.dataOut.nCohInt
                         else:
                             nCohInt = 1
                         self.selBlocksize = int(self.dataOut.nProfiles*round(self.selBlocktime/(nCohInt*self.dataOut.ippSeconds*self.dataOut.nProfiles)))
                     self.dataOut.data = self.datablock[:,self.profileIndex:self.profileIndex+self.selBlocksize,:]
                     datasize = self.dataOut.data.shape[1]
                     if datasize < self.selBlocksize:
                         buffer = numpy.zeros((self.dataOut.data.shape[0], self.selBlocksize, self.dataOut.data.shape[2]), dtype = 'complex')
                         buffer[:,:datasize,:] = self.dataOut.data
                         self.dataOut.data = buffer
                         self.profileIndex = blockIndex
                     self.dataOut.flagDataAsBlock = True
                     self.flagIsNewBlock = 1
                     self.dataOut.realtime = self.online
                     return self.dataOut.data
                 def getData(self):
                     """
                     getData obtiene una unidad de datos del buffer de lectura, un perfil,  y la copia al objeto self.dataOut
                     del tipo "Voltage" con todos los parametros asociados a este (metadata). cuando no hay datos
                     en el buffer de lectura es necesario hacer una nueva lectura de los bloques de datos usando
                     "readNextBlock"
                     Ademas incrementa el contador del buffer "self.profileIndex" en 1.
                     Return:
                         Si el flag self.getByBlock ha sido seteado el bloque completo es copiado a self.dataOut y el self.profileIndex
                         es igual al total de perfiles leidos desde el archivo.
                         Si self.getByBlock == False:
                             self.dataOut.data = buffer[:, thisProfile, :]
                             shape = [nChannels, nHeis]
                         Si self.getByBlock == True:
                             self.dataOut.data = buffer[:, :, :]
                             shape = [nChannels, nProfiles, nHeis]
                     Variables afectadas:
                         self.dataOut
                         self.profileIndex
                     Affected:
                         self.dataOut
                         self.profileIndex
                         self.flagDiscontinuousBlock
                         self.flagIsNewBlock
                     """
                     if self.flagNoMoreFiles:
                         self.dataOut.flagNoData = True
                         print 'Process finished'
                         return 0
                     self.flagDiscontinuousBlock = 0
                     self.flagIsNewBlock = 0
                     if self.__hasNotDataInBuffer():
                         if not( self.readNextBlock() ):
                             return 0
                         self.getFirstHeader()
                         self.reshapeData()
                     if self.datablock is None:
                         self.dataOut.flagNoData = True
                         return 0
                     if not self.getByBlock:
                         """
                         Return profile by profile
                         If nTxs > 1 then one profile is divided by nTxs and number of total
                         blocks is increased by nTxs (nProfiles *= nTxs)
                         """
                         self.dataOut.flagDataAsBlock = False
                         self.dataOut.data = self.datablock[:,self.profileIndex,:]
                         self.dataOut.profileIndex = self.profileIndex
                         self.profileIndex += 1
             #         elif self.selBlocksize==None or self.selBlocksize==self.dataOut.nProfiles:
             #             """
             #             Return all block
             #             """
             #             self.dataOut.flagDataAsBlock = True
             #             self.dataOut.data = self.datablock
             #             self.dataOut.profileIndex = self.dataOut.nProfiles - 1
             #
             #             self.profileIndex = self.dataOut.nProfiles
                     else:
                         """
                         Return a block
                         """
                         if self.selBlocksize == None:   self.selBlocksize = self.dataOut.nProfiles
                         if self.selBlocktime != None:
                             if self.dataOut.nCohInt is not None:
                                 nCohInt = self.dataOut.nCohInt
                             else:
                                 nCohInt = 1
                             self.selBlocksize = int(self.dataOut.nProfiles*round(self.selBlocktime/(nCohInt*self.dataOut.ippSeconds*self.dataOut.nProfiles)))
                         self.dataOut.data = self.datablock[:,self.profileIndex:self.profileIndex+self.selBlocksize,:]
                         self.profileIndex += self.selBlocksize
                         datasize = self.dataOut.data.shape[1]
                         if datasize < self.selBlocksize:
                             buffer = numpy.zeros((self.dataOut.data.shape[0],self.selBlocksize,self.dataOut.data.shape[2]), dtype = 'complex')
                             buffer[:,:datasize,:] = self.dataOut.data
                             while datasize < self.selBlocksize: #Not enough profiles to fill the block
                                 if not( self.readNextBlock() ):
                                     return 0
                                 self.getFirstHeader()
                                 self.reshapeData()
                                 if self.datablock is None:
                                     self.dataOut.flagNoData = True
                                     return 0
                                 #stack data
                                 blockIndex = self.selBlocksize - datasize
                                 datablock1 = self.datablock[:,:blockIndex,:]
                                 buffer[:,datasize:datasize+datablock1.shape[1],:] = datablock1
                                 datasize += datablock1.shape[1]
                             self.dataOut.data = buffer
                             self.profileIndex = blockIndex
                         self.dataOut.flagDataAsBlock = True
                         self.dataOut.nProfiles = self.dataOut.data.shape[1]
                     self.dataOut.flagNoData = False
                     self.getBasicHeader()
                     self.dataOut.realtime = self.online
                     return self.dataOut.data
             class VoltageWriter(JRODataWriter, Operation):
                 """
                 Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura
                 de los datos siempre se realiza por bloques.
                 """
                 ext = ".r"
                 optchar = "D"
                 shapeBuffer = None
                 def __init__(self, **kwargs):
                     """
                     Inicializador de la clase VoltageWriter para la escritura de datos de espectros.
                     Affected:
                         self.dataOut
                     Return: None
                     """
                     Operation.__init__(self, **kwargs)
                     self.nTotalBlocks = 0
                     self.profileIndex = 0
                     self.isConfig = False
                     self.fp = None
                     self.flagIsNewFile = 1
                     self.blockIndex = 0
                     self.flagIsNewBlock = 0
                     self.setFile = None
                     self.dtype = None
                     self.path = None
                     self.filename = None
                     self.basicHeaderObj = BasicHeader(LOCALTIME)
                     self.systemHeaderObj = SystemHeader()
                     self.radarControllerHeaderObj = RadarControllerHeader()
                     self.processingHeaderObj = ProcessingHeader()
                 def hasAllDataInBuffer(self):
                     if self.profileIndex >= self.processingHeaderObj.profilesPerBlock:
                         return 1
                     return 0
                 def setBlockDimension(self):
                     """
                     Obtiene las formas dimensionales del los subbloques de datos que componen un bloque
                     Affected:
                         self.shape_spc_Buffer
                         self.shape_cspc_Buffer
                         self.shape_dc_Buffer
                     Return: None
                     """
                     self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock,
                                         self.processingHeaderObj.nHeights,
                                         self.systemHeaderObj.nChannels)
                     self.datablock = numpy.zeros((self.systemHeaderObj.nChannels,
                                                  self.processingHeaderObj.profilesPerBlock,
                                                  self.processingHeaderObj.nHeights),
                                                  dtype=numpy.dtype('complex64'))
                 def writeBlock(self):
                     """
                     Escribe el buffer en el file designado
                     Affected:
                         self.profileIndex
                         self.flagIsNewFile
                         self.flagIsNewBlock
                         self.nTotalBlocks
                         self.blockIndex
                     Return: None
                     """
                     data = numpy.zeros( self.shapeBuffer, self.dtype )
                     junk = numpy.transpose(self.datablock, (1,2,0))
                     data['real'] = junk.real
                     data['imag'] = junk.imag
                     data = data.reshape( (-1) )
                     data.tofile( self.fp )
                     self.datablock.fill(0)
                     self.profileIndex = 0
                     self.flagIsNewFile = 0
                     self.flagIsNewBlock = 1
                     self.blockIndex += 1
                     self.nTotalBlocks += 1
             #         print "[Writing] Block = %04d" %self.blockIndex
                 def putData(self):
                     """
                     Setea un bloque de datos y luego los escribe en un file
                     Affected:
                         self.flagIsNewBlock
                         self.profileIndex
                     Return:
 :    Si no hay data o no hay mas files que puedan escribirse
 :    Si se escribio la data de un bloque en un file
                     """
                     if self.dataOut.flagNoData:
                         return 0
                     self.flagIsNewBlock = 0
                     if self.dataOut.flagDiscontinuousBlock:
                         self.datablock.fill(0)
                         self.profileIndex = 0
                         self.setNextFile()
                     if self.profileIndex == 0:
                         self.setBasicHeader()
                     self.datablock[:,self.profileIndex,:] = self.dataOut.data
                     self.profileIndex += 1
                     if self.hasAllDataInBuffer():
                         #if self.flagIsNewFile:
                         self.writeNextBlock()
             #            self.setFirstHeader()
                     return 1
                 def __getBlockSize(self):
                     '''
                     Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage
                     '''
                     dtype_width = self.getDtypeWidth()
                     blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * dtype_width * 2)
                     return blocksize
                 def setFirstHeader(self):
                     """
                     Obtiene una copia del First Header
                     Affected:
                         self.systemHeaderObj
                         self.radarControllerHeaderObj
                         self.dtype
                     Return:
                         None
                     """
                     self.systemHeaderObj = self.dataOut.systemHeaderObj.copy()
                     self.systemHeaderObj.nChannels = self.dataOut.nChannels
                     self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy()
                     self.processingHeaderObj.dtype = 0 # Voltage
                     self.processingHeaderObj.blockSize = self.__getBlockSize()
                     self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock
                     self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile
                     self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows
                     self.processingHeaderObj.nCohInt = self.dataOut.nCohInt
                     self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage
                     self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage
                     if self.dataOut.code is not None:
                         self.processingHeaderObj.code = self.dataOut.code
                         self.processingHeaderObj.nCode = self.dataOut.nCode
                         self.processingHeaderObj.nBaud = self.dataOut.nBaud
                     if self.processingHeaderObj.nWindows != 0:
                         self.processingHeaderObj.firstHeight = self.dataOut.heightList[0]
                         self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0]
                         self.processingHeaderObj.nHeights = self.dataOut.nHeights
                         self.processingHeaderObj.samplesWin = self.dataOut.nHeights
                     self.processingHeaderObj.processFlags = self.getProcessFlags()
                     self.setBasicHeader()

schainpy/model/proc/jroproc_voltage.py +1 -3

             import sys
             import numpy
             from scipy import interpolate
             from jroproc_base import ProcessingUnit, Operation
             from schainpy.model.data.jrodata import Voltage
             class VoltageProc(ProcessingUnit):
                 def __init__(self, **kwargs):
                     ProcessingUnit.__init__(self, **kwargs)
             #         self.objectDict = {}
                     self.dataOut = Voltage()
                     self.flip = 1
                 def run(self):
                     if self.dataIn.type == 'AMISR':
                         self.__updateObjFromAmisrInput()
                     if self.dataIn.type == 'Voltage':
                         self.dataOut.copy(self.dataIn)
             #         self.dataOut.copy(self.dataIn)
                 def __updateObjFromAmisrInput(self):
                     self.dataOut.timeZone = self.dataIn.timeZone
                     self.dataOut.dstFlag = self.dataIn.dstFlag
                     self.dataOut.errorCount = self.dataIn.errorCount
                     self.dataOut.useLocalTime = self.dataIn.useLocalTime
                     self.dataOut.flagNoData = self.dataIn.flagNoData
                     self.dataOut.data = self.dataIn.data
                     self.dataOut.utctime = self.dataIn.utctime
                     self.dataOut.channelList = self.dataIn.channelList
             #         self.dataOut.timeInterval = self.dataIn.timeInterval
                     self.dataOut.heightList = self.dataIn.heightList
                     self.dataOut.nProfiles = self.dataIn.nProfiles
                     self.dataOut.nCohInt = self.dataIn.nCohInt
                     self.dataOut.ippSeconds = self.dataIn.ippSeconds
                     self.dataOut.frequency = self.dataIn.frequency
                     self.dataOut.azimuth = self.dataIn.azimuth
                     self.dataOut.zenith = self.dataIn.zenith
                     self.dataOut.beam.codeList = self.dataIn.beam.codeList
                     self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList
                     self.dataOut.beam.zenithList = self.dataIn.beam.zenithList
             #
             #        pass#
             #
             #    def init(self):
             #
             #
             #        if self.dataIn.type == 'AMISR':
             #            self.__updateObjFromAmisrInput()
             #
             #        if self.dataIn.type == 'Voltage':
             #            self.dataOut.copy(self.dataIn)
             #        # No necesita copiar en cada init() los atributos de dataIn
             #        # la copia deberia hacerse por cada nuevo bloque de datos
                 def selectChannels(self, channelList):
                     channelIndexList = []
                     for channel in channelList:
                         if channel not in self.dataOut.channelList:
                             raise ValueError, "Channel %d is not in %s" %(channel, str(self.dataOut.channelList))
                         index = self.dataOut.channelList.index(channel)
                         channelIndexList.append(index)
                     self.selectChannelsByIndex(channelIndexList)
                 def selectChannelsByIndex(self, channelIndexList):
                     """
                     Selecciona un bloque de datos en base a canales segun el channelIndexList
                     Input:
                         channelIndexList    :    lista sencilla de canales a seleccionar por ej. [2,3,7]
                     Affected:
                         self.dataOut.data
                         self.dataOut.channelIndexList
                         self.dataOut.nChannels
                         self.dataOut.m_ProcessingHeader.totalSpectra
                         self.dataOut.systemHeaderObj.numChannels
                         self.dataOut.m_ProcessingHeader.blockSize
                     Return:
                         None
                     """
                     for channelIndex in channelIndexList:
                         if channelIndex not in self.dataOut.channelIndexList:
                             print channelIndexList
                             raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex
                     if self.dataOut.flagDataAsBlock:
                         """
                         Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis]
                         """
                         data = self.dataOut.data[channelIndexList,:,:]
                     else:
                         data = self.dataOut.data[channelIndexList,:]
                     self.dataOut.data = data
                     self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList]
             #        self.dataOut.nChannels = nChannels
                     return 1
                 def selectHeights(self, minHei=None, maxHei=None):
                     """
                     Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango
                     minHei <= height <= maxHei
                     Input:
                         minHei    :    valor minimo de altura a considerar
                         maxHei    :    valor maximo de altura a considerar
                     Affected:
                         Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex
                     Return:
 si el metodo se ejecuto con exito caso contrario devuelve 0
                     """
                     if minHei == None:
                         minHei = self.dataOut.heightList[0]
                     if maxHei == None:
                         maxHei = self.dataOut.heightList[-1]
                     if (minHei < self.dataOut.heightList[0]):
                         minHei = self.dataOut.heightList[0]
                     if (maxHei > self.dataOut.heightList[-1]):
                         maxHei = self.dataOut.heightList[-1]
                     minIndex = 0
                     maxIndex = 0
                     heights = self.dataOut.heightList
                     inda = numpy.where(heights >= minHei)
                     indb = numpy.where(heights <= maxHei)
                     try:
                         minIndex = inda[0][0]
                     except:
                         minIndex = 0
                     try:
                         maxIndex = indb[0][-1]
                     except:
                         maxIndex = len(heights)
                     self.selectHeightsByIndex(minIndex, maxIndex)
                     return 1
                 def selectHeightsByIndex(self, minIndex, maxIndex):
                     """
                     Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango
                     minIndex <= index <= maxIndex
                     Input:
                         minIndex    :    valor de indice minimo de altura a considerar
                         maxIndex    :    valor de indice maximo de altura a considerar
                     Affected:
                         self.dataOut.data
                         self.dataOut.heightList
                     Return:
 si el metodo se ejecuto con exito caso contrario devuelve 0
                     """
                     if (minIndex < 0) or (minIndex > maxIndex):
                         raise ValueError, "Height index range (%d,%d) is not valid" % (minIndex, maxIndex)
                     if (maxIndex >= self.dataOut.nHeights):
                         maxIndex = self.dataOut.nHeights
                     #voltage
                     if self.dataOut.flagDataAsBlock:
                         """
                         Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis]
                         """
                         data = self.dataOut.data[:,:, minIndex:maxIndex]
                     else:
                         data = self.dataOut.data[:, minIndex:maxIndex]
             #         firstHeight = self.dataOut.heightList[minIndex]
                     self.dataOut.data = data
                     self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex]
                     if self.dataOut.nHeights <= 1:
                         raise ValueError, "selectHeights: Too few heights. Current number of heights is %d" %(self.dataOut.nHeights)
                     return 1
                 def filterByHeights(self, window):
                     deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0]
                     if window == None:
                         window = (self.dataOut.radarControllerHeaderObj.txA/self.dataOut.radarControllerHeaderObj.nBaud) / deltaHeight
                     newdelta = deltaHeight * window
                     r = self.dataOut.nHeights % window
                     newheights = (self.dataOut.nHeights-r)/window
                     if newheights <= 1:
                         raise ValueError, "filterByHeights: Too few heights. Current number of heights is %d and window is %d" %(self.dataOut.nHeights, window)
                     if self.dataOut.flagDataAsBlock:
                         """
                         Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis]
                         """
                         buffer = self.dataOut.data[:, :, 0:self.dataOut.nHeights-r]
                         buffer = buffer.reshape(self.dataOut.nChannels,self.dataOut.nProfiles,self.dataOut.nHeights/window,window)
                         buffer = numpy.sum(buffer,3)
                     else:
                         buffer = self.dataOut.data[:,0:self.dataOut.nHeights-r]
                         buffer = buffer.reshape(self.dataOut.nChannels,self.dataOut.nHeights/window,window)
                         buffer = numpy.sum(buffer,2)
                     self.dataOut.data = buffer
                     self.dataOut.heightList = self.dataOut.heightList[0] + numpy.arange( newheights )*newdelta
                     self.dataOut.windowOfFilter = window
                 def setH0(self, h0, deltaHeight = None):
                     if not deltaHeight:
                         deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0]
                     nHeights = self.dataOut.nHeights
                     newHeiRange = h0 + numpy.arange(nHeights)*deltaHeight
                     self.dataOut.heightList = newHeiRange
                 def deFlip(self, channelList = []):
                     data = self.dataOut.data.copy()
                     if self.dataOut.flagDataAsBlock:
                         flip = self.flip
                         profileList = range(self.dataOut.nProfiles)
                         if not channelList:
                             for thisProfile in profileList:
                                 data[:,thisProfile,:] = data[:,thisProfile,:]*flip
                                 flip *= -1.0
                         else:
                             for thisChannel in channelList:
                                 if thisChannel not in self.dataOut.channelList:
                                     continue
                                 for thisProfile in profileList:
                                     data[thisChannel,thisProfile,:] = data[thisChannel,thisProfile,:]*flip
                                     flip *= -1.0
                         self.flip = flip
                     else:
                         if not channelList:
                             data[:,:] = data[:,:]*self.flip
                         else:
                             for thisChannel in channelList:
                                 if thisChannel not in self.dataOut.channelList:
                                     continue
                                 data[thisChannel,:] = data[thisChannel,:]*self.flip
                         self.flip *= -1.
                     self.dataOut.data = data
                 def setRadarFrequency(self, frequency=None):
                     if frequency != None:
                         self.dataOut.frequency = frequency
                     return 1
                 def interpolateHeights(self, topLim, botLim):
                     #69 al 72 para julia
                     #82-84 para meteoros
                     if len(numpy.shape(self.dataOut.data))==2:
                         sampInterp = (self.dataOut.data[:,botLim-1] + self.dataOut.data[:,topLim+1])/2
                         sampInterp = numpy.transpose(numpy.tile(sampInterp,(topLim-botLim + 1,1)))
                         #self.dataOut.data[:,botLim:limSup+1] = sampInterp
                         self.dataOut.data[:,botLim:topLim+1] = sampInterp
                     else:
                         nHeights = self.dataOut.data.shape[2]
                         x = numpy.hstack((numpy.arange(botLim),numpy.arange(topLim+1,nHeights)))
                         y = self.dataOut.data[:,:,range(botLim)+range(topLim+1,nHeights)]
                         f = interpolate.interp1d(x, y, axis = 2)
                         xnew = numpy.arange(botLim,topLim+1)
                         ynew = f(xnew)
                         self.dataOut.data[:,:,botLim:topLim+1]  = ynew
             # import collections
             class CohInt(Operation):
                 isConfig = False
                 __profIndex = 0
                 __withOverapping  = False
                 __byTime = False
                 __initime = None
                 __lastdatatime = None
                 __integrationtime = None
                 __buffer = None
                 __dataReady = False
                 n = None
                 def __init__(self, **kwargs):
                     Operation.__init__(self, **kwargs)
             #         self.isConfig = False
                 def setup(self, n=None, timeInterval=None, overlapping=False, byblock=False):
                     """
                     Set the parameters of the integration class.
                     Inputs:
                         n        :    Number of coherent integrations
                         timeInterval   :    Time of integration. If the parameter "n" is selected this one does not work
                         overlapping    :
                     """
                     self.__initime = None
                     self.__lastdatatime = 0
                     self.__buffer = None
                     self.__dataReady = False
                     self.byblock = byblock
                     if n == None and timeInterval == None:
                         raise ValueError, "n or timeInterval should be specified ..."
                     if n != None:
                         self.n = n
                         self.__byTime = False
                     else:
                         self.__integrationtime = timeInterval #* 60. #if (type(timeInterval)!=integer) -> change this line
                         self.n = 9999
                         self.__byTime = True
                     if overlapping:
                         self.__withOverapping = True
                         self.__buffer = None
                     else:
                         self.__withOverapping = False
                         self.__buffer = 0
                     self.__profIndex = 0
                 def putData(self, data):
                     """
                     Add a profile to the __buffer and increase in one the __profileIndex
                     """
                     if not self.__withOverapping:
                         self.__buffer += data.copy()
                         self.__profIndex += 1
                         return
                     #Overlapping data
                     nChannels, nHeis = data.shape
                     data = numpy.reshape(data, (1, nChannels, nHeis))
                     #If the buffer is empty then it takes the data value
                     if self.__buffer is None:
                         self.__buffer = data
                         self.__profIndex += 1
                         return
                     #If the buffer length is lower than n then stakcing the data value
                     if self.__profIndex < self.n:
                         self.__buffer = numpy.vstack((self.__buffer, data))
                         self.__profIndex += 1
                         return
                     #If the buffer length is equal to n then replacing the last buffer value with the data value
                     self.__buffer = numpy.roll(self.__buffer, -1, axis=0)
                     self.__buffer[self.n-1] = data
                     self.__profIndex = self.n
                     return
                 def pushData(self):
                     """
                     Return the sum of the last profiles and the profiles used in the sum.
                     Affected:
                     self.__profileIndex
                     """
                     if not self.__withOverapping:
                         data = self.__buffer
                         n = self.__profIndex
                         self.__buffer = 0
                         self.__profIndex = 0
                         return data, n
                     #Integration with Overlapping
                     data = numpy.sum(self.__buffer, axis=0)
                     n = self.__profIndex
                     return data, n
                 def byProfiles(self, data):
                     self.__dataReady = False
                     avgdata = None
             #         n = None
                     self.putData(data)
                     if self.__profIndex == self.n:
                         avgdata, n = self.pushData()
                         self.__dataReady = True
                     return avgdata
                 def byTime(self, data, datatime):
                     self.__dataReady = False
                     avgdata = None
                     n = None
                     self.putData(data)
                     if (datatime - self.__initime) >= self.__integrationtime:
                         avgdata, n = self.pushData()
                         self.n = n
                         self.__dataReady = True
                     return avgdata
                 def integrate(self, data, datatime=None):
                     if self.__initime == None:
                         self.__initime = datatime
                     if self.__byTime:
                         avgdata = self.byTime(data, datatime)
                     else:
                         avgdata = self.byProfiles(data)
                     self.__lastdatatime = datatime
                     if avgdata is None:
                         return None, None
                     avgdatatime = self.__initime
                     deltatime = datatime -self.__lastdatatime
                     if not self.__withOverapping:
                         self.__initime = datatime
                     else:
                         self.__initime += deltatime
                     return avgdata, avgdatatime
                 def integrateByBlock(self, dataOut):
                     times = int(dataOut.data.shape[1]/self.n)
                     avgdata = numpy.zeros((dataOut.nChannels, times, dataOut.nHeights), dtype=numpy.complex)
                     id_min = 0
                     id_max = self.n
                     for i in range(times):
                         junk = dataOut.data[:,id_min:id_max,:]
                         avgdata[:,i,:] = junk.sum(axis=1)
                         id_min += self.n
                         id_max += self.n
                     timeInterval = dataOut.ippSeconds*self.n
                     avgdatatime = (times - 1) * timeInterval + dataOut.utctime
                     self.__dataReady = True
                     return avgdata, avgdatatime
                 def run(self, dataOut, n=None, timeInterval=None, overlapping=False, byblock=False, **kwargs):
                     if not self.isConfig:
                         self.setup(n=n, timeInterval=timeInterval, overlapping=overlapping, byblock=byblock, **kwargs)
                         self.isConfig = True
                     if dataOut.flagDataAsBlock:
                         """
                         Si la data es leida por bloques, dimension = [nChannels, nProfiles, nHeis]
                         """
                         avgdata, avgdatatime = self.integrateByBlock(dataOut)
                         dataOut.nProfiles /= self.n
                     else:
                         avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime)
             #        dataOut.timeInterval *= n
                     dataOut.flagNoData = True
                     if self.__dataReady:
                         dataOut.data = avgdata
                         dataOut.nCohInt *= self.n
                         dataOut.utctime = avgdatatime
             #             dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt
                         dataOut.flagNoData = False
             class Decoder(Operation):
                 isConfig = False
                 __profIndex = 0
                 code = None
                 nCode = None
                 nBaud = None
                 def __init__(self, **kwargs):
                     Operation.__init__(self, **kwargs)
                     self.times = None
                     self.osamp = None
             #         self.__setValues = False
                     self.isConfig = False
                 def setup(self, code, osamp, dataOut):
                     self.__profIndex = 0
                     self.code = code
                     self.nCode = len(code)
                     self.nBaud = len(code[0])
                     if (osamp != None) and (osamp >1):
                         self.osamp = osamp
                         self.code = numpy.repeat(code, repeats=self.osamp, axis=1)
                         self.nBaud = self.nBaud*self.osamp
                     self.__nChannels = dataOut.nChannels
                     self.__nProfiles = dataOut.nProfiles
                     self.__nHeis = dataOut.nHeights
                     if self.__nHeis < self.nBaud:
                         raise ValueError, 'Number of heights (%d) should be greater than number of bauds (%d)' %(self.__nHeis, self.nBaud)
                     #Frequency
                     __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex)
                     __codeBuffer[:,0:self.nBaud] = self.code
                     self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1))
                     if dataOut.flagDataAsBlock:
                         self.ndatadec = self.__nHeis #- self.nBaud + 1
                         self.datadecTime = numpy.zeros((self.__nChannels, self.__nProfiles, self.ndatadec), dtype=numpy.complex)
                     else:
                         #Time
                         self.ndatadec = self.__nHeis #- self.nBaud + 1
                         self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex)
                 def __convolutionInFreq(self, data):
                     fft_code = self.fft_code[self.__profIndex].reshape(1,-1)
                     fft_data = numpy.fft.fft(data, axis=1)
                     conv = fft_data*fft_code
                     data = numpy.fft.ifft(conv,axis=1)
                     return data
                 def __convolutionInFreqOpt(self, data):
                     raise NotImplementedError
                 def __convolutionInTime(self, data):
                     code = self.code[self.__profIndex]
                     for i in range(self.__nChannels):
                         self.datadecTime[i,:] = numpy.correlate(data[i,:], code, mode='full')[self.nBaud-1:]
                     return self.datadecTime
                 def __convolutionByBlockInTime(self, data):
                     repetitions = self.__nProfiles / self.nCode
                     junk = numpy.lib.stride_tricks.as_strided(self.code, (repetitions, self.code.size), (0, self.code.itemsize))
                     junk = junk.flatten()
                     code_block = numpy.reshape(junk, (self.nCode*repetitions, self.nBaud))
                     for i in range(self.__nChannels):
                         for j in range(self.__nProfiles):
-                            print self.datadecTime[i,j,:].shape
-                            print numpy.correlate(data[i,j,:], code_block[j,:], mode='full')[self.nBaud-1:].shape
                             self.datadecTime[i,j,:] = numpy.correlate(data[i,j,:], code_block[j,:], mode='full')[self.nBaud-1:]
                     return self.datadecTime
                 def __convolutionByBlockInFreq(self, data):
                     raise NotImplementedError, "Decoder by frequency fro Blocks not implemented"
                     fft_code = self.fft_code[self.__profIndex].reshape(1,-1)
                     fft_data = numpy.fft.fft(data, axis=2)
                     conv = fft_data*fft_code
                     data = numpy.fft.ifft(conv,axis=2)
                     return data
                 def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0, osamp=None, times=None):
                     if dataOut.flagDecodeData:
                         print "This data is already decoded, recoding again ..."
                     if not self.isConfig:
                         if code is None:
                             if dataOut.code is None:
                                 raise ValueError, "Code could not be read from %s instance. Enter a value in Code parameter" %dataOut.type
                             code = dataOut.code
                         else:
                             code = numpy.array(code).reshape(nCode,nBaud)
                         self.setup(code, osamp, dataOut)
                         self.isConfig = True
                         if mode == 3:
                             sys.stderr.write("Decoder Warning: mode=%d is not valid, using mode=0\n" %mode)
                         if times != None:
                             sys.stderr.write("Decoder Warning: Argument 'times' in not used anymore\n")
                     if self.code is None:
                         print "Fail decoding: Code is not defined."
                         return
                     datadec = None
                     if mode == 3:
                         mode = 0
                     if dataOut.flagDataAsBlock:
                         """
                         Decoding when data have been read as block,
                         """
                         if mode == 0:
                             datadec = self.__convolutionByBlockInTime(dataOut.data)
                         if mode == 1:
                             datadec = self.__convolutionByBlockInFreq(dataOut.data)
                     else:
                         """
                         Decoding when data have been read profile by profile
                         """
                         if mode == 0:
                             datadec = self.__convolutionInTime(dataOut.data)
                         if mode == 1:
                             datadec = self.__convolutionInFreq(dataOut.data)
                         if mode == 2:
                             datadec = self.__convolutionInFreqOpt(dataOut.data)
                     if datadec is None:
                         raise ValueError, "Codification mode selected is not valid: mode=%d. Try selecting 0 or 1" %mode
                     dataOut.code = self.code
                     dataOut.nCode = self.nCode
                     dataOut.nBaud = self.nBaud
                     dataOut.data = datadec
                     dataOut.heightList = dataOut.heightList[0:datadec.shape[-1]]
                     dataOut.flagDecodeData = True #asumo q la data esta decodificada
                     if self.__profIndex == self.nCode-1:
                         self.__profIndex = 0
                         return 1
                     self.__profIndex += 1
                     return 1
             #        dataOut.flagDeflipData = True #asumo q la data no esta sin flip
             class ProfileConcat(Operation):
                 isConfig = False
                 buffer = None
                 def __init__(self, **kwargs):
                     Operation.__init__(self, **kwargs)
                     self.profileIndex = 0
                 def reset(self):
                     self.buffer = numpy.zeros_like(self.buffer)
                     self.start_index = 0
                     self.times = 1
                 def setup(self, data, m, n=1):
                     self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0]))
                     self.nHeights = data.shape[1]#.nHeights
                     self.start_index = 0
                     self.times = 1
                 def concat(self, data):
                     self.buffer[:,self.start_index:self.nHeights*self.times] = data.copy()
                     self.start_index = self.start_index + self.nHeights
                 def run(self, dataOut, m):
                     dataOut.flagNoData = True
                     if not self.isConfig:
                         self.setup(dataOut.data, m, 1)
                         self.isConfig = True
                     if dataOut.flagDataAsBlock:
                         raise ValueError, "ProfileConcat can only be used when voltage have been read profile by profile, getBlock = False"
                     else:
                         self.concat(dataOut.data)
                         self.times += 1
                         if self.times > m:
                             dataOut.data = self.buffer
                             self.reset()
                             dataOut.flagNoData = False
                             # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas
                             deltaHeight = dataOut.heightList[1] - dataOut.heightList[0]
                             xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * m
                             dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight)
                             dataOut.ippSeconds *= m
             class ProfileSelector(Operation):
                 profileIndex = None
                 # Tamanho total de los perfiles
                 nProfiles = None
                 def __init__(self, **kwargs):
                     Operation.__init__(self, **kwargs)
                     self.profileIndex = 0
                 def incProfileIndex(self):
                     self.profileIndex += 1
                     if self.profileIndex >= self.nProfiles:
                         self.profileIndex = 0
                 def isThisProfileInRange(self, profileIndex, minIndex, maxIndex):
                     if profileIndex < minIndex:
                         return False
                     if profileIndex > maxIndex:
                         return False
                     return True
                 def isThisProfileInList(self, profileIndex, profileList):
                     if profileIndex not in profileList:
                         return False
                     return True
                 def run(self, dataOut, profileList=None, profileRangeList=None, beam=None, byblock=False, rangeList = None, nProfiles=None):
                     """
                     ProfileSelector:
                     Inputs:
                         profileList        :    Index of profiles selected. Example: profileList = (0,1,2,7,8)
                         profileRangeList    :    Minimum and maximum profile indexes. Example: profileRangeList = (4, 30)
                         rangeList            :    List of profile ranges. Example: rangeList = ((4, 30), (32, 64), (128, 256))
                     """
                     if rangeList is not None:
                         if type(rangeList[0]) not in (tuple, list):
                             rangeList = [rangeList]
                     dataOut.flagNoData = True
                     if dataOut.flagDataAsBlock:
                         """
                         data dimension  = [nChannels, nProfiles, nHeis]
                         """
                         if profileList != None:
                             dataOut.data = dataOut.data[:,profileList,:]
                         if profileRangeList != None:
                             minIndex = profileRangeList[0]
                             maxIndex = profileRangeList[1]
                             profileList = range(minIndex, maxIndex+1)
                             dataOut.data = dataOut.data[:,minIndex:maxIndex+1,:]
                         if rangeList != None:
                             profileList = []
                             for thisRange in rangeList:
                                 minIndex = thisRange[0]
                                 maxIndex = thisRange[1]
                                 profileList.extend(range(minIndex, maxIndex+1))
                             dataOut.data = dataOut.data[:,profileList,:]
                         dataOut.nProfiles = len(profileList)
                         dataOut.profileIndex = dataOut.nProfiles - 1
                         dataOut.flagNoData = False
                         return True
                     """
                     data dimension  = [nChannels, nHeis]
                     """
                     if profileList != None:
                         if self.isThisProfileInList(dataOut.profileIndex, profileList):
                             self.nProfiles = len(profileList)
                             dataOut.nProfiles = self.nProfiles
                             dataOut.profileIndex = self.profileIndex
                             dataOut.flagNoData = False
                             self.incProfileIndex()
                         return True
                     if profileRangeList != None:
                         minIndex = profileRangeList[0]
                         maxIndex = profileRangeList[1]
                         if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex):
                             self.nProfiles = maxIndex - minIndex + 1
                             dataOut.nProfiles = self.nProfiles
                             dataOut.profileIndex = self.profileIndex
                             dataOut.flagNoData = False
                             self.incProfileIndex()
                         return True
                     if rangeList != None:
                         nProfiles = 0
                         for thisRange in rangeList:
                             minIndex = thisRange[0]
                             maxIndex = thisRange[1]
                             nProfiles += maxIndex - minIndex + 1
                         for thisRange in rangeList:
                             minIndex = thisRange[0]
                             maxIndex = thisRange[1]
                             if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex):
                                 self.nProfiles = nProfiles
                                 dataOut.nProfiles = self.nProfiles
                                 dataOut.profileIndex = self.profileIndex
                                 dataOut.flagNoData = False
                                 self.incProfileIndex()
                                 break
                         return True
                     if beam != None: #beam is only for AMISR data
                         if self.isThisProfileInList(dataOut.profileIndex, dataOut.beamRangeDict[beam]):
                             dataOut.flagNoData = False
                             dataOut.profileIndex = self.profileIndex
                             self.incProfileIndex()
                         return True
                     raise ValueError, "ProfileSelector needs profileList, profileRangeList or rangeList parameter"
                     return False
             class Reshaper(Operation):
                 def __init__(self, **kwargs):
                     Operation.__init__(self, **kwargs)
                     self.__buffer = None
                     self.__nitems = 0
                 def __appendProfile(self, dataOut, nTxs):
                     if self.__buffer is None:
                         shape = (dataOut.nChannels, int(dataOut.nHeights/nTxs) )
                         self.__buffer = numpy.empty(shape, dtype = dataOut.data.dtype)
                     ini = dataOut.nHeights * self.__nitems
                     end = ini + dataOut.nHeights
                     self.__buffer[:, ini:end] = dataOut.data
                     self.__nitems += 1
                     return int(self.__nitems*nTxs)
                 def __getBuffer(self):
                     if self.__nitems == int(1./self.__nTxs):
                         self.__nitems = 0
                         return self.__buffer.copy()
                     return None
                 def __checkInputs(self, dataOut, shape, nTxs):
                     if shape is None and nTxs is None:
                         raise ValueError, "Reshaper: shape of factor should be defined"
                     if nTxs:
                         if nTxs < 0:
                             raise ValueError, "nTxs should be greater than 0"
                         if nTxs < 1 and dataOut.nProfiles % (1./nTxs) != 0:
                             raise ValueError, "nProfiles= %d is not divisibled by (1./nTxs) = %f" %(dataOut.nProfiles, (1./nTxs))
                         shape = [dataOut.nChannels, dataOut.nProfiles*nTxs, dataOut.nHeights/nTxs]
                         return shape, nTxs
                     if len(shape) != 2 and len(shape) !=  3:
                         raise ValueError, "shape dimension should be equal to 2 or 3. shape = (nProfiles, nHeis) or (nChannels, nProfiles, nHeis). Actually shape = (%d, %d, %d)" %(dataOut.nChannels, dataOut.nProfiles, dataOut.nHeights)
                     if len(shape) == 2:
                         shape_tuple = [dataOut.nChannels]
                         shape_tuple.extend(shape)
                     else:
                         shape_tuple = list(shape)
                     nTxs = 1.0*shape_tuple[1]/dataOut.nProfiles
                     return shape_tuple, nTxs
                 def run(self, dataOut, shape=None, nTxs=None):
                     shape_tuple, self.__nTxs = self.__checkInputs(dataOut, shape, nTxs)
                     dataOut.flagNoData = True
                     profileIndex = None
                     if dataOut.flagDataAsBlock:
                         dataOut.data = numpy.reshape(dataOut.data, shape_tuple)
                         dataOut.flagNoData = False
                         profileIndex = int(dataOut.nProfiles*self.__nTxs) - 1
                     else:
                         if self.__nTxs < 1:
                             self.__appendProfile(dataOut, self.__nTxs)
                             new_data = self.__getBuffer()
                             if new_data is not None:
                                 dataOut.data = new_data
                                 dataOut.flagNoData = False
                                 profileIndex = dataOut.profileIndex*nTxs
                         else:
                             raise ValueError, "nTxs should be greater than 0 and lower than 1, or use VoltageReader(..., getblock=True)"
                     deltaHeight = dataOut.heightList[1] - dataOut.heightList[0]
                     dataOut.heightList = numpy.arange(dataOut.nHeights/self.__nTxs) * deltaHeight + dataOut.heightList[0]
                     dataOut.nProfiles = int(dataOut.nProfiles*self.__nTxs)
                     dataOut.profileIndex = profileIndex
                     dataOut.ippSeconds /= self.__nTxs
             class SplitProfiles(Operation):
                 def __init__(self, **kwargs):
                     Operation.__init__(self, **kwargs)
                 def run(self, dataOut, n):
                     dataOut.flagNoData = True
                     profileIndex = None
                     if dataOut.flagDataAsBlock:
                         #nchannels, nprofiles, nsamples
                         shape = dataOut.data.shape
                         if shape[2] % n != 0:
                             raise ValueError, "Could not split the data, n=%d has to be multiple of %d" %(n, shape[2])
                         new_shape = shape[0], shape[1]*n, shape[2]/n
                         dataOut.data = numpy.reshape(dataOut.data, new_shape)
                         dataOut.flagNoData = False
                         profileIndex = int(dataOut.nProfiles/n) - 1
                     else:
                         raise ValueError, "Could not split the data when is read Profile by Profile. Use VoltageReader(..., getblock=True)"
                     deltaHeight = dataOut.heightList[1] - dataOut.heightList[0]
                     dataOut.heightList = numpy.arange(dataOut.nHeights/n) * deltaHeight + dataOut.heightList[0]
                     dataOut.nProfiles = int(dataOut.nProfiles*n)
                     dataOut.profileIndex = profileIndex
                     dataOut.ippSeconds /= n
             class CombineProfiles(Operation):
                 def __init__(self, **kwargs):
                     Operation.__init__(self, **kwargs)
                     self.__remData = None
                     self.__profileIndex = 0
                 def run(self, dataOut, n):
                     dataOut.flagNoData = True
                     profileIndex = None
                     if dataOut.flagDataAsBlock:
                         #nchannels, nprofiles, nsamples
                         shape = dataOut.data.shape
                         new_shape = shape[0], shape[1]/n, shape[2]*n
                         if shape[1] % n != 0:
                             raise ValueError, "Could not split the data, n=%d has to be multiple of %d" %(n, shape[1])
                         dataOut.data = numpy.reshape(dataOut.data, new_shape)
                         dataOut.flagNoData = False
                         profileIndex = int(dataOut.nProfiles*n) - 1
                     else:
                         #nchannels, nsamples
                         if self.__remData is None:
                             newData = dataOut.data
                         else:
                             newData = numpy.concatenate((self.__remData, dataOut.data), axis=1)
                         self.__profileIndex += 1
                         if self.__profileIndex < n:
                             self.__remData = newData
                             #continue
                             return
                         self.__profileIndex = 0
                         self.__remData = None
                         dataOut.data = newData
                         dataOut.flagNoData = False
                         profileIndex = dataOut.profileIndex/n
                     deltaHeight = dataOut.heightList[1] - dataOut.heightList[0]
                     dataOut.heightList = numpy.arange(dataOut.nHeights*n) * deltaHeight + dataOut.heightList[0]
                     dataOut.nProfiles = int(dataOut.nProfiles/n)
                     dataOut.profileIndex = profileIndex
                     dataOut.ippSeconds *= n
             # import collections
             # from scipy.stats import mode
             #
             # class Synchronize(Operation):
             #
             #     isConfig = False
             #     __profIndex = 0
             #
             #     def __init__(self, **kwargs):
             #
             #         Operation.__init__(self, **kwargs)
             # #         self.isConfig = False
             #         self.__powBuffer = None
             #         self.__startIndex = 0
             #         self.__pulseFound = False
             #
             #     def __findTxPulse(self, dataOut, channel=0, pulse_with = None):
             #
             #         #Read data
             #
             #         powerdB = dataOut.getPower(channel = channel)
             #         noisedB = dataOut.getNoise(channel = channel)[0]
             #
             #         self.__powBuffer.extend(powerdB.flatten())
             #
             #         dataArray = numpy.array(self.__powBuffer)
             #
             #         filteredPower = numpy.correlate(dataArray, dataArray[0:self.__nSamples], "same")
             #
             #         maxValue = numpy.nanmax(filteredPower)
             #
             #         if maxValue < noisedB + 10:
             #             #No se encuentra ningun pulso de transmision
             #             return None
             #
             #         maxValuesIndex = numpy.where(filteredPower > maxValue - 0.1*abs(maxValue))[0]
             #
             #         if len(maxValuesIndex) < 2:
             #             #Solo se encontro un solo pulso de transmision de un baudio, esperando por el siguiente TX
             #             return None
             #
             #         phasedMaxValuesIndex = maxValuesIndex - self.__nSamples
             #
             #         #Seleccionar solo valores con un espaciamiento de nSamples
             #         pulseIndex = numpy.intersect1d(maxValuesIndex, phasedMaxValuesIndex)
             #
             #         if len(pulseIndex) < 2:
             #             #Solo se encontro un pulso de transmision con ancho mayor a 1
             #             return None
             #
             #         spacing = pulseIndex[1:] - pulseIndex[:-1]
             #
             #         #remover senales que se distancien menos de 10 unidades o muestras
             #         #(No deberian existir IPP menor a 10 unidades)
             #
             #         realIndex = numpy.where(spacing > 10 )[0]
             #
             #         if len(realIndex) < 2:
             #             #Solo se encontro un pulso de transmision con ancho mayor a 1
             #             return None
             #
             #         #Eliminar pulsos anchos (deja solo la diferencia entre IPPs)
             #         realPulseIndex = pulseIndex[realIndex]
             #
             #         period = mode(realPulseIndex[1:] - realPulseIndex[:-1])[0][0]
             #
             #         print "IPP = %d samples" %period
             #
             #         self.__newNSamples = dataOut.nHeights #int(period)
             #         self.__startIndex = int(realPulseIndex[0])
             #
             #         return 1
             #
             #
             #     def setup(self, nSamples, nChannels, buffer_size = 4):
             #
             #         self.__powBuffer = collections.deque(numpy.zeros( buffer_size*nSamples,dtype=numpy.float),
             #                                           maxlen = buffer_size*nSamples)
             #
             #         bufferList = []
             #
             #         for i in range(nChannels):
             #             bufferByChannel = collections.deque(numpy.zeros( buffer_size*nSamples, dtype=numpy.complex) +  numpy.NAN,
             #                                           maxlen = buffer_size*nSamples)
             #
             #             bufferList.append(bufferByChannel)
             #
             #         self.__nSamples = nSamples
             #         self.__nChannels = nChannels
             #         self.__bufferList = bufferList
             #
             #     def run(self, dataOut, channel = 0):
             #
             #         if not self.isConfig:
             #             nSamples = dataOut.nHeights
             #             nChannels = dataOut.nChannels
             #             self.setup(nSamples, nChannels)
             #             self.isConfig = True
             #
             #         #Append new data to internal buffer
             #         for thisChannel in range(self.__nChannels):
             #             bufferByChannel = self.__bufferList[thisChannel]
             #             bufferByChannel.extend(dataOut.data[thisChannel])
             #
             #         if self.__pulseFound:
             #             self.__startIndex -= self.__nSamples
             #
             #         #Finding Tx Pulse
             #         if not self.__pulseFound:
             #             indexFound = self.__findTxPulse(dataOut, channel)
             #
             #             if indexFound == None:
             #                 dataOut.flagNoData = True
             #                 return
             #
             #             self.__arrayBuffer = numpy.zeros((self.__nChannels, self.__newNSamples), dtype = numpy.complex)
             #             self.__pulseFound = True
             #             self.__startIndex = indexFound
             #
             #         #If pulse was found ...
             #         for thisChannel in range(self.__nChannels):
             #             bufferByChannel = self.__bufferList[thisChannel]
             #             #print self.__startIndex
             #             x = numpy.array(bufferByChannel)
             #             self.__arrayBuffer[thisChannel] = x[self.__startIndex:self.__startIndex+self.__newNSamples]
             #
             #         deltaHeight = dataOut.heightList[1] - dataOut.heightList[0]
             #         dataOut.heightList = numpy.arange(self.__newNSamples)*deltaHeight
             # #             dataOut.ippSeconds = (self.__newNSamples / deltaHeight)/1e6
             #
             #         dataOut.data = self.__arrayBuffer
             #
             #         self.__startIndex += self.__newNSamples
             #
             #         return

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