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import numpy
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import time
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import os
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import h5py
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import re
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from schainpy.model.data.jrodata import *
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from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation
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from schainpy.model.io.jroIO_base import *
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class HDF5Reader(ProcessingUnit):
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ext = ".hdf5"
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optchar = "D"
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timezone = None
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secStart = None
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secEnd = None
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fileIndex = None
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blockIndex = None
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blocksPerFile = None
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path = None
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#List of Files
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filenameList = None
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datetimeList = None
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#Hdf5 File
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fpMetadata = None
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pathMeta = None
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listMetaname = None
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listMeta = None
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listDataname = None
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listData = None
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listShapes = None
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fp = None
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#dataOut reconstruction
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dataOut = None
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nRecords = None
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def __init__(self):
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self.dataOut = self.__createObjByDefault()
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return
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def __createObjByDefault(self):
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dataObj = Parameters()
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return dataObj
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def setup(self,path=None,
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startDate=None,
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endDate=None,
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startTime=datetime.time(0,0,0),
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endTime=datetime.time(23,59,59),
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walk=True,
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timezone='ut',
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all=0,
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online=False,
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ext=None):
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if ext==None:
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ext = self.ext
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self.timezone = timezone
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# self.all = all
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# self.online = online
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self.path = path
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startDateTime = datetime.datetime.combine(startDate,startTime)
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endDateTime = datetime.datetime.combine(endDate,endTime)
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secStart = (startDateTime-datetime.datetime(1970,1,1)).total_seconds()
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secEnd = (endDateTime-datetime.datetime(1970,1,1)).total_seconds()
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self.secStart = secStart
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self.secEnd = secEnd
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if not(online):
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#Busqueda de archivos offline
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self.__searchFilesOffline(path, startDate, endDate, ext, startTime, endTime, secStart, secEnd, walk)
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else:
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self.__searchFilesOnline(path, walk)
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if not(self.filenameList):
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print "There is no files into the folder: %s"%(path)
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sys.exit(-1)
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# self.__getExpParameters()
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self.fileIndex = -1
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self.__setNextFileOffline()
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self.__readMetadata()
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self.blockIndex = 0
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return
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def __searchFilesOffline(self,
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path,
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startDate,
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endDate,
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ext,
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startTime=datetime.time(0,0,0),
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endTime=datetime.time(23,59,59),
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secStart = 0,
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secEnd = numpy.inf,
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walk=True):
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# self.__setParameters(path, startDate, endDate, startTime, endTime, walk)
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#
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# self.__checkPath()
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#
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# self.__findDataForDates()
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#
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# self.__selectDataForTimes()
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#
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# for i in range(len(self.filenameList)):
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# print "%s" %(self.filenameList[i])
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pathList = []
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if not walk:
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#pathList.append(path)
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multi_path = path.split(',')
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for single_path in multi_path:
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pathList.append(single_path)
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else:
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#dirList = []
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multi_path = path.split(',')
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for single_path in multi_path:
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dirList = []
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for thisPath in os.listdir(single_path):
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if not os.path.isdir(os.path.join(single_path,thisPath)):
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continue
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if not isRadarFolder(thisPath):
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continue
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dirList.append(thisPath)
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if not(dirList):
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return None, None
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thisDate = startDate
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while(thisDate <= endDate):
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year = thisDate.timetuple().tm_year
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doy = thisDate.timetuple().tm_yday
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matchlist = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy) + '*')
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if len(matchlist) == 0:
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thisDate += datetime.timedelta(1)
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continue
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for match in matchlist:
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pathList.append(os.path.join(single_path,match))
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thisDate += datetime.timedelta(1)
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if pathList == []:
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print "Any folder was found for the date range: %s-%s" %(startDate, endDate)
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return None, None
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print "%d folder(s) was(were) found for the date range: %s - %s" %(len(pathList), startDate, endDate)
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filenameList = []
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datetimeList = []
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pathDict = {}
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filenameList_to_sort = []
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for i in range(len(pathList)):
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thisPath = pathList[i]
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fileList = glob.glob1(thisPath, "*%s" %ext)
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fileList.sort()
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pathDict.setdefault(fileList[0])
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pathDict[fileList[0]] = i
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filenameList_to_sort.append(fileList[0])
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filenameList_to_sort.sort()
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for file in filenameList_to_sort:
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thisPath = pathList[pathDict[file]]
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fileList = glob.glob1(thisPath, "*%s" %ext)
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fileList.sort()
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for file in fileList:
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filename = os.path.join(thisPath,file)
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thisDatetime = self.__isFileinThisTime(filename, secStart, secEnd)
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if not(thisDatetime):
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continue
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filenameList.append(filename)
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datetimeList.append(thisDatetime)
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if not(filenameList):
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print "Any file was found for the time range %s - %s" %(startTime, endTime)
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return None, None
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print "%d file(s) was(were) found for the time range: %s - %s" %(len(filenameList), startTime, endTime)
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print
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for i in range(len(filenameList)):
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print "%s -> [%s]" %(filenameList[i], datetimeList[i].ctime())
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self.filenameList = filenameList
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self.datetimeList = datetimeList
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return pathList, filenameList
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def __isFileinThisTime(self, filename, startSeconds, endSeconds):
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"""
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Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado.
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Inputs:
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filename : nombre completo del archivo de datos en formato Jicamarca (.r)
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startTime : tiempo inicial del rango seleccionado en formato datetime.time
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endTime : tiempo final del rango seleccionado en formato datetime.time
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Return:
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Boolean : Retorna True si el archivo de datos contiene datos en el rango de
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fecha especificado, de lo contrario retorna False.
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Excepciones:
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Si el archivo no existe o no puede ser abierto
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Si la cabecera no puede ser leida.
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"""
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try:
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fp = fp = h5py.File(filename,'r')
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except IOError:
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traceback.print_exc()
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raise IOError, "The file %s can't be opened" %(filename)
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grp = fp['Data']
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timeAux = grp['time']
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time0 = timeAux[:][0].astype(numpy.float) #Time Vector
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fp.close()
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if self.timezone == 'lt':
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time0 -= 5*3600
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boolTimer = numpy.logical_and(time0 >= startSeconds,time0 < endSeconds)
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if not (numpy.any(boolTimer)):
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return None
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thisDatetime = datetime.datetime.utcfromtimestamp(time0[0])
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return thisDatetime
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def __checkPath(self):
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if os.path.exists(self.path):
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self.status = 1
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else:
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self.status = 0
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print 'Path:%s does not exists'%self.path
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return
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def __setNextFileOffline(self):
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idFile = self.fileIndex
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idFile += 1
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if not(idFile < len(self.filenameList)):
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print "No more Files"
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return 0
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filename = self.filenameList[idFile]
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filePointer = h5py.File(filename,'r')
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self.flagIsNewFile = 1
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self.fileIndex = idFile
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self.filename = filename
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self.fp = filePointer
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print "Setting the file: %s"%self.filename
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self.__readMetadata()
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self.__setBlockList()
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# self.nRecords = self.fp['Data'].attrs['blocksPerFile']
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self.nRecords = self.fp['Data'].attrs['nRecords']
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self.blockIndex = 0
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return 1
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def __setBlockList(self):
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'''
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self.fp
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self.startDateTime
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self.endDateTime
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self.blockList
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self.blocksPerFile
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'''
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filePointer = self.fp
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secStart = self.secStart
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secEnd = self.secEnd
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grp = filePointer['Data']
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timeVector = grp['time'].value.astype(numpy.float)[0]
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if self.timezone == 'lt':
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timeVector -= 5*3600
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ind = numpy.where(numpy.logical_and(timeVector >= secStart , timeVector < secEnd))[0]
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self.blockList = ind
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self.blocksPerFile = len(ind)
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return
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def __readMetadata(self):
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'''
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self.pathMeta
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self.listShapes
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self.listMetaname
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self.listMeta
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'''
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grp = self.fp['Data']
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pathMeta = os.path.join(self.path, grp.attrs['metadata'])
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if pathMeta == self.pathMeta:
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return
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else:
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self.pathMeta = pathMeta
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filePointer = h5py.File(self.pathMeta,'r')
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groupPointer = filePointer['Metadata']
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listMetaname = []
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listMetadata = []
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for item in groupPointer.items():
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name = item[0]
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if name=='array dimensions':
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table = groupPointer[name][:]
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listShapes = {}
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for shapes in table:
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listShapes[shapes[0]] = numpy.array([shapes[1],shapes[2],shapes[3],shapes[4]])
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else:
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data = groupPointer[name].value
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listMetaname.append(name)
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listMetadata.append(data)
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if name=='type':
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self.__initDataOut(data)
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filePointer.close()
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self.listShapes = listShapes
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self.listMetaname = listMetaname
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self.listMeta = listMetadata
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return
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def __readData(self):
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grp = self.fp['Data']
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listdataname = []
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listdata = []
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for item in grp.items():
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name = item[0]
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if name == 'time':
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listdataname.append('utctime')
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timeAux = grp[name].value.astype(numpy.float)[0]
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listdata.append(timeAux)
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continue
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listdataname.append(name)
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array = self.__setDataArray(self.nRecords, grp[name],self.listShapes[name])
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listdata.append(array)
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self.listDataname = listdataname
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self.listData = listdata
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return
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def __setDataArray(self, nRecords, dataset, shapes):
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nChannels = shapes[0] #Dimension 0
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nPoints = shapes[1] #Dimension 1, number of Points or Parameters
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nSamples = shapes[2] #Dimension 2, number of samples or ranges
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mode = shapes[3]
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# if nPoints>1:
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# arrayData = numpy.zeros((nRecords,nChannels,nPoints,nSamples))
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# else:
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# arrayData = numpy.zeros((nRecords,nChannels,nSamples))
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#
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# chn = 'channel'
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#
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# for i in range(nChannels):
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#
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# data = dataset[chn + str(i)].value
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#
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# if nPoints>1:
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# data = numpy.rollaxis(data,2)
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#
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# arrayData[:,i,:] = data
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arrayData = numpy.zeros((nRecords,nChannels,nPoints,nSamples))
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doSqueeze = False
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if mode == 0:
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strds = 'channel'
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nDatas = nChannels
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newShapes = (nRecords,nPoints,nSamples)
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if nPoints == 1:
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doSqueeze = True
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axisSqueeze = 2
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else:
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strds = 'param'
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nDatas = nPoints
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newShapes = (nRecords,nChannels,nSamples)
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if nChannels == 1:
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doSqueeze = True
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axisSqueeze = 1
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for i in range(nDatas):
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data = dataset[strds + str(i)].value
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data = data.reshape(newShapes)
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if mode == 0:
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arrayData[:,i,:,:] = data
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else:
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arrayData[:,:,i,:] = data
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if doSqueeze:
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arrayData = numpy.squeeze(arrayData, axis=axisSqueeze)
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return arrayData
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def __initDataOut(self, type):
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# if type =='Parameters':
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# self.dataOut = Parameters()
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# elif type =='Spectra':
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# self.dataOut = Spectra()
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# elif type =='Voltage':
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# self.dataOut = Voltage()
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# elif type =='Correlation':
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# self.dataOut = Correlation()
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return
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def __setDataOut(self):
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listMeta = self.listMeta
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listMetaname = self.listMetaname
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listDataname = self.listDataname
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listData = self.listData
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blockIndex = self.blockIndex
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blockList = self.blockList
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for i in range(len(listMeta)):
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setattr(self.dataOut,listMetaname[i],listMeta[i])
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for j in range(len(listData)):
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if listDataname[j]=='utctime':
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|
# setattr(self.dataOut,listDataname[j],listData[j][blockList[blockIndex]])
|
|
|
setattr(self.dataOut,'utctimeInit',listData[j][blockList[blockIndex]])
|
|
|
continue
|
|
|
|
|
|
setattr(self.dataOut,listDataname[j],listData[j][blockList[blockIndex],:])
|
|
|
|
|
|
return self.dataOut.data_param
|
|
|
|
|
|
def getData(self):
|
|
|
|
|
|
# if self.flagNoMoreFiles:
|
|
|
# self.dataOut.flagNoData = True
|
|
|
# print 'Process finished'
|
|
|
# return 0
|
|
|
#
|
|
|
if self.blockIndex==self.blocksPerFile:
|
|
|
if not( self.__setNextFileOffline() ):
|
|
|
self.dataOut.flagNoData = True
|
|
|
return 0
|
|
|
|
|
|
#
|
|
|
# if self.datablock == None: # setear esta condicion cuando no hayan datos por leers
|
|
|
# self.dataOut.flagNoData = True
|
|
|
# return 0
|
|
|
|
|
|
self.__readData()
|
|
|
self.__setDataOut()
|
|
|
self.dataOut.flagNoData = False
|
|
|
|
|
|
self.blockIndex += 1
|
|
|
|
|
|
return
|
|
|
|
|
|
def run(self, **kwargs):
|
|
|
|
|
|
if not(self.isConfig):
|
|
|
self.setup(**kwargs)
|
|
|
# self.setObjProperties()
|
|
|
self.isConfig = True
|
|
|
|
|
|
self.getData()
|
|
|
|
|
|
return
|
|
|
|
|
|
class HDF5Writer(Operation):
|
|
|
|
|
|
ext = ".hdf5"
|
|
|
|
|
|
optchar = "D"
|
|
|
|
|
|
metaoptchar = "M"
|
|
|
|
|
|
metaFile = None
|
|
|
|
|
|
path = None
|
|
|
|
|
|
setFile = None
|
|
|
|
|
|
fp = None
|
|
|
|
|
|
grp = None
|
|
|
|
|
|
ds = None
|
|
|
|
|
|
firsttime = True
|
|
|
|
|
|
#Configurations
|
|
|
|
|
|
blocksPerFile = None
|
|
|
|
|
|
blockIndex = None
|
|
|
|
|
|
dataOut = None
|
|
|
|
|
|
#Data Arrays
|
|
|
|
|
|
dataList = None
|
|
|
|
|
|
metadataList = None
|
|
|
|
|
|
arrayDim = None
|
|
|
|
|
|
tableDim = None
|
|
|
|
|
|
# dtype = [('arrayName', 'S20'),('nChannels', 'i'), ('nPoints', 'i'), ('nSamples', 'i'),('mode', 'b')]
|
|
|
|
|
|
dtype = [('arrayName', 'S20'),('nDimensions', 'i'), ('dim2', 'i'), ('dim1', 'i'),('dim0', 'i'),('mode', 'b')]
|
|
|
|
|
|
mode = None
|
|
|
|
|
|
nDatas = None #Number of datasets to be stored per array
|
|
|
|
|
|
nDims = None #Number Dimensions in each dataset
|
|
|
|
|
|
def __init__(self):
|
|
|
|
|
|
Operation.__init__(self)
|
|
|
self.isConfig = False
|
|
|
return
|
|
|
|
|
|
|
|
|
def setup(self, dataOut, **kwargs):
|
|
|
|
|
|
self.path = kwargs['path']
|
|
|
|
|
|
if kwargs.has_key('ext'):
|
|
|
self.ext = kwargs['ext']
|
|
|
|
|
|
if kwargs.has_key('blocksPerFile'):
|
|
|
self.blocksPerFile = kwargs['blocksPerFile']
|
|
|
else:
|
|
|
self.blocksPerFile = 10
|
|
|
|
|
|
self.metadataList = kwargs['metadataList']
|
|
|
|
|
|
self.dataList = kwargs['dataList']
|
|
|
|
|
|
self.dataOut = dataOut
|
|
|
|
|
|
if kwargs.has_key('mode'):
|
|
|
mode = kwargs['mode']
|
|
|
|
|
|
if type(mode) == int:
|
|
|
mode = numpy.zeros(len(self.dataList)) + mode
|
|
|
else:
|
|
|
mode = numpy.zeros(len(self.dataList))
|
|
|
|
|
|
self.mode = mode
|
|
|
|
|
|
arrayDim = numpy.zeros((len(self.dataList),5))
|
|
|
|
|
|
#Table dimensions
|
|
|
|
|
|
dtype0 = self.dtype
|
|
|
|
|
|
tableList = []
|
|
|
|
|
|
for i in range(len(self.dataList)):
|
|
|
|
|
|
dataAux = getattr(self.dataOut, self.dataList[i])
|
|
|
|
|
|
if type(dataAux)==float or type(dataAux)==int:
|
|
|
arrayDim[i,0] = 1
|
|
|
else:
|
|
|
arrayDim0 = dataAux.shape
|
|
|
arrayDim[i,0] = len(arrayDim0)
|
|
|
arrayDim[i,4] = mode[i]
|
|
|
|
|
|
if len(arrayDim0) == 3:
|
|
|
arrayDim[i,1:-1] = numpy.array(arrayDim0)
|
|
|
elif len(arrayDim0) == 2:
|
|
|
arrayDim[i,2:-1] = numpy.array(arrayDim0) #nHeights
|
|
|
elif len(arrayDim0) == 1:
|
|
|
arrayDim[i,3] = arrayDim0
|
|
|
elif len(arrayDim0) == 0:
|
|
|
arrayDim[i,0] = 1
|
|
|
arrayDim[i,3] = 1
|
|
|
|
|
|
table = numpy.array((self.dataList[i],) + tuple(arrayDim[i,:]),dtype = dtype0)
|
|
|
tableList.append(table)
|
|
|
|
|
|
self.arrayDim = arrayDim
|
|
|
self.tableDim = numpy.array(tableList, dtype = dtype0)
|
|
|
self.blockIndex = 0
|
|
|
|
|
|
return
|
|
|
|
|
|
def putMetadata(self):
|
|
|
|
|
|
fp = self.createMetadataFile()
|
|
|
self.writeMetadata(fp)
|
|
|
fp.close()
|
|
|
return
|
|
|
|
|
|
def createMetadataFile(self):
|
|
|
ext = self.ext
|
|
|
path = self.path
|
|
|
setFile = self.setFile
|
|
|
|
|
|
timeTuple = time.localtime(self.dataOut.utctime)
|
|
|
subfolder = ''
|
|
|
|
|
|
fullpath = os.path.join( path, subfolder )
|
|
|
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
|
|
|
|
|
|
file = '%s%4.4d%3.3d%3.3d%s' % (self.metaoptchar,
|
|
|
timeTuple.tm_year,
|
|
|
timeTuple.tm_yday,
|
|
|
setFile,
|
|
|
ext )
|
|
|
|
|
|
filename = os.path.join( path, subfolder, file )
|
|
|
self.metaFile = file
|
|
|
#Setting HDF5 File
|
|
|
fp = h5py.File(filename,'w')
|
|
|
|
|
|
return fp
|
|
|
|
|
|
def writeMetadata(self, fp):
|
|
|
|
|
|
grp = fp.create_group("Metadata")
|
|
|
grp.create_dataset('array dimensions', data = self.tableDim, dtype = self.dtype)
|
|
|
|
|
|
for i in range(len(self.metadataList)):
|
|
|
grp.create_dataset(self.metadataList[i], data=getattr(self.dataOut, self.metadataList[i]))
|
|
|
return
|
|
|
|
|
|
def setNextFile(self):
|
|
|
|
|
|
ext = self.ext
|
|
|
path = self.path
|
|
|
setFile = self.setFile
|
|
|
mode = self.mode
|
|
|
|
|
|
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 )
|
|
|
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
|
|
|
|
|
|
file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar,
|
|
|
timeTuple.tm_year,
|
|
|
timeTuple.tm_yday,
|
|
|
setFile,
|
|
|
ext )
|
|
|
|
|
|
filename = os.path.join( path, subfolder, file )
|
|
|
|
|
|
#Setting HDF5 File
|
|
|
fp = h5py.File(filename,'w')
|
|
|
grp = fp.create_group("Data")
|
|
|
grp.attrs['metadata'] = self.metaFile
|
|
|
|
|
|
# grp.attrs['blocksPerFile'] = 0
|
|
|
|
|
|
ds = []
|
|
|
data = []
|
|
|
|
|
|
nDatas = numpy.zeros(len(self.dataList))
|
|
|
nDims = self.arrayDim[:,0]
|
|
|
|
|
|
for i in range(len(self.dataList)):
|
|
|
|
|
|
if nDims[i]==1:
|
|
|
ds0 = grp.create_dataset(self.dataList[i], (1,1), maxshape=(1,None) , chunks = True, dtype='S20')
|
|
|
ds.append(ds0)
|
|
|
data.append([])
|
|
|
|
|
|
else:
|
|
|
|
|
|
if mode[i]==0:
|
|
|
strMode = "channel"
|
|
|
nDatas[i] = self.arrayDim[i,1]
|
|
|
else:
|
|
|
strMode = "param"
|
|
|
nDatas[i] = self.arrayDim[i,2]
|
|
|
|
|
|
if nDims[i]==2:
|
|
|
nDatas[i] = self.arrayDim[i,2]
|
|
|
|
|
|
grp0 = grp.create_group(self.dataList[i])
|
|
|
|
|
|
for j in range(int(nDatas[i])):
|
|
|
tableName = strMode + str(j)
|
|
|
|
|
|
if nDims[i] == 3:
|
|
|
ds0 = grp0.create_dataset(tableName, (1,1,1) , maxshape=(None,None,None), chunks=True)
|
|
|
else:
|
|
|
ds0 = grp0.create_dataset(tableName, (1,1) , maxshape=(None,None), chunks=True)
|
|
|
|
|
|
ds.append(ds0)
|
|
|
data.append([])
|
|
|
|
|
|
self.nDatas = nDatas
|
|
|
self.nDims = nDims
|
|
|
|
|
|
#Saving variables
|
|
|
print 'Writing the file: %s'%filename
|
|
|
self.fp = fp
|
|
|
self.grp = grp
|
|
|
self.ds = ds
|
|
|
self.data = data
|
|
|
|
|
|
self.setFile = setFile
|
|
|
self.firsttime = True
|
|
|
self.blockIndex = 0
|
|
|
return
|
|
|
|
|
|
def putData(self):
|
|
|
self.setBlock()
|
|
|
self.writeBlock()
|
|
|
|
|
|
if self.blockIndex == self.blocksPerFile:
|
|
|
self.setNextFile()
|
|
|
return
|
|
|
|
|
|
def setBlock(self):
|
|
|
'''
|
|
|
data Array configured
|
|
|
|
|
|
|
|
|
self.data
|
|
|
'''
|
|
|
#Creating Arrays
|
|
|
data = self.data
|
|
|
nDatas = self.nDatas
|
|
|
nDims = self.nDims
|
|
|
mode = self.mode
|
|
|
ind = 0
|
|
|
|
|
|
for i in range(len(self.dataList)):
|
|
|
dataAux = getattr(self.dataOut,self.dataList[i])
|
|
|
|
|
|
if nDims[i] == 1:
|
|
|
data[ind] = numpy.array([str(dataAux)]).reshape((1,1))
|
|
|
if not self.firsttime:
|
|
|
data[ind] = numpy.hstack((self.ds[ind][:], self.data[ind]))
|
|
|
ind += 1
|
|
|
|
|
|
else:
|
|
|
for j in range(int(nDatas[i])):
|
|
|
if (mode[i] == 0) or (nDims[i] == 2): #In case division per channel or Dimensions is only 1
|
|
|
data[ind] = dataAux[j,:]
|
|
|
else:
|
|
|
data[ind] = dataAux[:,j,:]
|
|
|
|
|
|
if nDims[i] == 3:
|
|
|
data[ind] = data[ind].reshape((data[ind].shape[0],data[ind].shape[1],1))
|
|
|
|
|
|
if not self.firsttime:
|
|
|
data[ind] = numpy.dstack((self.ds[ind][:], data[ind]))
|
|
|
|
|
|
else:
|
|
|
data[ind] = data[ind].reshape((1,data[ind].shape[0]))
|
|
|
|
|
|
if not self.firsttime:
|
|
|
data[ind] = numpy.vstack((self.ds[ind][:], data[ind]))
|
|
|
ind += 1
|
|
|
|
|
|
self.data = data
|
|
|
return
|
|
|
|
|
|
def writeBlock(self):
|
|
|
'''
|
|
|
Saves the block in the HDF5 file
|
|
|
'''
|
|
|
for i in range(len(self.ds)):
|
|
|
self.ds[i].resize(self.data[i].shape)
|
|
|
self.ds[i][:] = self.data[i]
|
|
|
|
|
|
self.blockIndex += 1
|
|
|
|
|
|
self.grp.attrs.modify('nRecords', self.blockIndex)
|
|
|
|
|
|
self.firsttime = False
|
|
|
return
|
|
|
|
|
|
def run(self, dataOut, **kwargs):
|
|
|
if not(self.isConfig):
|
|
|
self.setup(dataOut, **kwargs)
|
|
|
self.isConfig = True
|
|
|
self.putMetadata()
|
|
|
self.setNextFile()
|
|
|
|
|
|
self.putData()
|
|
|
return
|
|
|
|
|
|
|
