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'''
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Created on Aug 1, 2017
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@author: Juan C. Espinoza
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'''
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import os
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import sys
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import time
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import json
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import glob
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import datetime
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import numpy
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import h5py
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import schainpy.admin
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from schainpy.model.io.jroIO_base import LOCALTIME, Reader
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from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator
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from schainpy.model.data.jrodata import Parameters
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from schainpy.utils import log
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try:
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import madrigal.cedar
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except:
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pass
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try:
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basestring
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except:
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basestring = str
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DEF_CATALOG = {
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'principleInvestigator': 'Marco Milla',
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'expPurpose': '',
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'cycleTime': '',
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'correlativeExp': '',
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'sciRemarks': '',
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'instRemarks': ''
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}
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DEF_HEADER = {
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'kindatDesc': '',
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'analyst': 'Jicamarca User',
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'comments': '',
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'history': ''
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}
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MNEMONICS = {
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10: 'jro',
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11: 'jbr',
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840: 'jul',
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13: 'jas',
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1000: 'pbr',
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1001: 'hbr',
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1002: 'obr',
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400: 'clr'
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}
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UT1970 = datetime.datetime(1970, 1, 1) - datetime.timedelta(seconds=time.timezone)
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def load_json(obj):
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'''
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Parse json as string instead of unicode
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'''
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if isinstance(obj, str):
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iterable = json.loads(obj)
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else:
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iterable = obj
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if isinstance(iterable, dict):
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return {str(k): load_json(v) if isinstance(v, dict) else str(v) if isinstance(v, basestring) else v
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for k, v in list(iterable.items())}
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elif isinstance(iterable, (list, tuple)):
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return [str(v) if isinstance(v, basestring) else v for v in iterable]
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return iterable
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class MADReader(Reader, ProcessingUnit):
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def __init__(self):
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ProcessingUnit.__init__(self)
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self.dataOut = Parameters()
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self.counter_records = 0
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self.nrecords = None
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self.flagNoMoreFiles = 0
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self.filename = None
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self.intervals = set()
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self.datatime = datetime.datetime(1900,1,1)
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self.format = None
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self.filefmt = "***%Y%m%d*******"
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def setup(self, **kwargs):
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self.set_kwargs(**kwargs)
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self.oneDDict = load_json(self.oneDDict)
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self.twoDDict = load_json(self.twoDDict)
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self.ind2DList = load_json(self.ind2DList)
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self.independentParam = self.ind2DList[0]
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if self.path is None:
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raise ValueError('The path is not valid')
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self.open_file = open
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self.open_mode = 'rb'
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if self.format is None:
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raise ValueError('The format is not valid choose simple or hdf5')
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elif self.format.lower() in ('simple', 'txt'):
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self.ext = '.txt'
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elif self.format.lower() in ('cedar',):
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self.ext = '.001'
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else:
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self.ext = '.hdf5'
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self.open_file = h5py.File
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self.open_mode = 'r'
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if self.online:
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log.log("Searching files in online mode...", self.name)
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for nTries in range(self.nTries):
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fullpath = self.searchFilesOnLine(self.path, self.startDate,
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self.endDate, self.expLabel, self.ext, self.walk,
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self.filefmt, self.folderfmt)
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try:
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fullpath = next(fullpath)
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except:
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fullpath = None
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if fullpath:
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break
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log.warning(
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'Waiting {} sec for a valid file in {}: try {} ...'.format(
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self.delay, self.path, nTries + 1),
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self.name)
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time.sleep(self.delay)
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if not(fullpath):
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raise schainpy.admin.SchainError(
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'There isn\'t any valid file in {}'.format(self.path))
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else:
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log.log("Searching files in {}".format(self.path), self.name)
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self.filenameList = self.searchFilesOffLine(self.path, self.startDate,
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self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt)
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self.setNextFile()
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def readFirstHeader(self):
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'''Read header and data'''
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self.parseHeader()
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self.parseData()
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self.blockIndex = 0
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return
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def parseHeader(self):
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'''
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'''
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self.output = {}
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self.version = '2'
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s_parameters = None
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if self.ext == '.txt':
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self.parameters = [s.strip().lower() for s in self.fp.readline().decode().strip().split(' ') if s]
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elif self.ext == '.hdf5':
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self.metadata = self.fp['Metadata']
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if '_record_layout' in self.metadata:
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s_parameters = [s[0].lower().decode() for s in self.metadata['Independent Spatial Parameters']]
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self.version = '3'
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self.parameters = [s[0].lower().decode() for s in self.metadata['Data Parameters']]
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log.success('Parameters found: {}'.format(self.parameters),
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'MADReader')
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if s_parameters:
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log.success('Spatial parameters found: {}'.format(s_parameters),
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'MADReader')
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for param in list(self.oneDDict.keys()):
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if param.lower() not in self.parameters:
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log.warning(
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'Parameter {} not found will be ignored'.format(
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param),
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'MADReader')
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self.oneDDict.pop(param, None)
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for param, value in list(self.twoDDict.items()):
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if param.lower() not in self.parameters:
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log.warning(
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'Parameter {} not found, it will be ignored'.format(
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param),
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'MADReader')
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self.twoDDict.pop(param, None)
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continue
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if isinstance(value, list):
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if value[0] not in self.output:
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self.output[value[0]] = []
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self.output[value[0]].append([])
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def parseData(self):
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'''
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'''
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if self.ext == '.txt':
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self.data = numpy.genfromtxt(self.fp, missing_values=('missing'))
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self.nrecords = self.data.shape[0]
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self.ranges = numpy.unique(self.data[:,self.parameters.index(self.independentParam.lower())])
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self.counter_records = 0
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elif self.ext == '.hdf5':
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self.data = self.fp['Data']
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self.ranges = numpy.unique(self.data['Table Layout'][self.independentParam.lower()])
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self.times = numpy.unique(self.data['Table Layout']['ut1_unix'])
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self.counter_records = int(self.data['Table Layout']['recno'][0])
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self.nrecords = int(self.data['Table Layout']['recno'][-1])
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def readNextBlock(self):
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while True:
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self.flagDiscontinuousBlock = 0
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if self.counter_records == self.nrecords:
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self.setNextFile()
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self.readBlock()
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if (self.datatime < datetime.datetime.combine(self.startDate, self.startTime)) or \
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(self.datatime > datetime.datetime.combine(self.endDate, self.endTime)):
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log.warning(
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'Reading Record No. {}/{} -> {} [Skipping]'.format(
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self.counter_records,
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self.nrecords,
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self.datatime.ctime()),
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'MADReader')
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continue
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break
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log.log(
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'Reading Record No. {}/{} -> {}'.format(
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self.counter_records,
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self.nrecords,
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self.datatime.ctime()),
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'MADReader')
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return 1
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def readBlock(self):
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'''
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'''
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dum = []
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if self.ext == '.txt':
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dt = self.data[self.counter_records][:6].astype(int)
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if datetime.datetime(dt[0], dt[1], dt[2], dt[3], dt[4], dt[5]).date() > self.datatime.date():
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self.flagDiscontinuousBlock = 1
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self.datatime = datetime.datetime(dt[0], dt[1], dt[2], dt[3], dt[4], dt[5])
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while True:
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dt = self.data[self.counter_records][:6].astype(int)
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datatime = datetime.datetime(dt[0], dt[1], dt[2], dt[3], dt[4], dt[5])
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if datatime == self.datatime:
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dum.append(self.data[self.counter_records])
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self.counter_records += 1
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if self.counter_records == self.nrecords:
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break
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continue
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self.intervals.add((datatime-self.datatime).seconds)
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break
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elif self.ext == '.hdf5':
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datatime = datetime.datetime.utcfromtimestamp(
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self.times[self.counter_records])
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dum = self.data['Table Layout'][self.data['Table Layout']['recno']==self.counter_records]
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self.intervals.add((datatime-self.datatime).seconds)
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if datatime.date()>self.datatime.date():
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self.flagDiscontinuousBlock = 1
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self.datatime = datatime
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self.counter_records += 1
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self.buffer = numpy.array(dum)
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return
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def set_output(self):
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'''
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Storing data from buffer to dataOut object
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'''
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parameters = [None for __ in self.parameters]
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for param, attr in list(self.oneDDict.items()):
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x = self.parameters.index(param.lower())
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setattr(self.dataOut, attr, self.buffer[0][x])
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for param, value in list(self.twoDDict.items()):
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dummy = numpy.zeros(self.ranges.shape) + numpy.nan
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if self.ext == '.txt':
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x = self.parameters.index(param.lower())
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y = self.parameters.index(self.independentParam.lower())
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ranges = self.buffer[:,y]
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#if self.ranges.size == ranges.size:
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# continue
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index = numpy.where(numpy.in1d(self.ranges, ranges))[0]
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dummy[index] = self.buffer[:,x]
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else:
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ranges = self.buffer[self.independentParam.lower()]
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index = numpy.where(numpy.in1d(self.ranges, ranges))[0]
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dummy[index] = self.buffer[param.lower()]
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if isinstance(value, str):
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if value not in self.independentParam:
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setattr(self.dataOut, value, dummy.reshape(1,-1))
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elif isinstance(value, list):
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self.output[value[0]][value[1]] = dummy
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parameters[value[1]] = param
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for key, value in list(self.output.items()):
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setattr(self.dataOut, key, numpy.array(value))
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self.dataOut.parameters = [s for s in parameters if s]
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self.dataOut.heightList = self.ranges
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self.dataOut.utctime = (self.datatime - datetime.datetime(1970, 1, 1)).total_seconds()
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self.dataOut.utctimeInit = self.dataOut.utctime
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self.dataOut.paramInterval = min(self.intervals)
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self.dataOut.useLocalTime = False
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self.dataOut.flagNoData = False
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self.dataOut.nrecords = self.nrecords
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self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock
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def getData(self):
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'''
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Storing data from databuffer to dataOut object
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'''
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if not self.readNextBlock():
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self.dataOut.flagNoData = True
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return 0
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self.set_output()
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return 1
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def run(self, **kwargs):
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if not(self.isConfig):
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self.setup(**kwargs)
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self.isConfig = True
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self.getData()
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return
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@MPDecorator
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class MADWriter(Operation):
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'''Writing module for Madrigal files
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type: external
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Inputs:
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path path where files will be created
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oneDDict json of one-dimensional parameters in record where keys
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are Madrigal codes (integers or mnemonics) and values the corresponding
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dataOut attribute e.g: {
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'gdlatr': 'lat',
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'gdlonr': 'lon',
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'gdlat2':'lat',
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'glon2':'lon'}
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ind2DList list of independent spatial two-dimensional parameters e.g:
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['heigthList']
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twoDDict json of two-dimensional parameters in record where keys
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are Madrigal codes (integers or mnemonics) and values the corresponding
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dataOut attribute if multidimensional array specify as tupple
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('attr', pos) e.g: {
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'gdalt': 'heightList',
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'vn1p2': ('data_output', 0),
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'vn2p2': ('data_output', 1),
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'vn3': ('data_output', 2),
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'snl': ('data_SNR', 'db')
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}
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metadata json of madrigal metadata (kinst, kindat, catalog and header)
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format hdf5, cedar
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blocks number of blocks per file'''
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__attrs__ = ['path', 'oneDDict', 'ind2DList', 'twoDDict','metadata', 'format', 'blocks']
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missing = -32767
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def __init__(self):
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Operation.__init__(self)
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self.dataOut = Parameters()
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self.counter = 0
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self.path = None
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self.fp = None
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def run(self, dataOut, path, oneDDict, ind2DList='[]', twoDDict='{}',
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metadata='{}', format='cedar', **kwargs):
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if not self.isConfig:
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self.setup(path, oneDDict, ind2DList, twoDDict, metadata, format, **kwargs)
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self.isConfig = True
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self.dataOut = dataOut
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self.putData()
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return 1
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def setup(self, path, oneDDict, ind2DList, twoDDict, metadata, format, **kwargs):
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'''
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Configure Operation
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'''
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self.path = path
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self.blocks = kwargs.get('blocks', None)
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self.counter = 0
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self.oneDDict = load_json(oneDDict)
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self.twoDDict = load_json(twoDDict)
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self.ind2DList = load_json(ind2DList)
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meta = load_json(metadata)
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self.kinst = meta.get('kinst')
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self.kindat = meta.get('kindat')
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self.catalog = meta.get('catalog', DEF_CATALOG)
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self.header = meta.get('header', DEF_HEADER)
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if format == 'cedar':
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self.ext = '.dat'
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self.extra_args = {}
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elif format == 'hdf5':
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self.ext = '.hdf5'
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self.extra_args = {'ind2DList': self.ind2DList}
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self.keys = [k.lower() for k in self.twoDDict]
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if 'range' in self.keys:
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self.keys.remove('range')
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if 'gdalt' in self.keys:
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self.keys.remove('gdalt')
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def setFile(self):
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'''
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Create new cedar file object
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'''
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self.mnemonic = MNEMONICS[self.kinst] #TODO get mnemonic from madrigal
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date = datetime.datetime.utcfromtimestamp(self.dataOut.utctime)
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|
|
|
|
|
filename = '{}{}{}'.format(self.mnemonic,
|
|
|
date.strftime('%Y%m%d_%H%M%S'),
|
|
|
self.ext)
|
|
|
|
|
|
self.fullname = os.path.join(self.path, filename)
|
|
|
|
|
|
if os.path.isfile(self.fullname) :
|
|
|
log.warning(
|
|
|
'Destination file {} already exists, previous file deleted.'.format(
|
|
|
self.fullname),
|
|
|
'MADWriter')
|
|
|
os.remove(self.fullname)
|
|
|
|
|
|
try:
|
|
|
log.success(
|
|
|
'Creating file: {}'.format(self.fullname),
|
|
|
'MADWriter')
|
|
|
if not os.path.exists(self.path):
|
|
|
os.makedirs(self.path)
|
|
|
self.fp = madrigal.cedar.MadrigalCedarFile(self.fullname, True)
|
|
|
except ValueError as e:
|
|
|
log.error(
|
|
|
'Impossible to create a cedar object with "madrigal.cedar.MadrigalCedarFile"',
|
|
|
'MADWriter')
|
|
|
return
|
|
|
|
|
|
return 1
|
|
|
|
|
|
def writeBlock(self):
|
|
|
'''
|
|
|
Add data records to cedar file taking data from oneDDict and twoDDict
|
|
|
attributes.
|
|
|
Allowed parameters in: parcodes.tab
|
|
|
'''
|
|
|
|
|
|
startTime = datetime.datetime.utcfromtimestamp(self.dataOut.utctime)
|
|
|
endTime = startTime + datetime.timedelta(seconds=self.dataOut.paramInterval)
|
|
|
heights = self.dataOut.heightList
|
|
|
|
|
|
if self.ext == '.dat':
|
|
|
for key, value in list(self.twoDDict.items()):
|
|
|
if isinstance(value, str):
|
|
|
data = getattr(self.dataOut, value)
|
|
|
invalid = numpy.isnan(data)
|
|
|
data[invalid] = self.missing
|
|
|
elif isinstance(value, (tuple, list)):
|
|
|
attr, key = value
|
|
|
data = getattr(self.dataOut, attr)
|
|
|
invalid = numpy.isnan(data)
|
|
|
data[invalid] = self.missing
|
|
|
|
|
|
out = {}
|
|
|
for key, value in list(self.twoDDict.items()):
|
|
|
key = key.lower()
|
|
|
if isinstance(value, str):
|
|
|
if 'db' in value.lower():
|
|
|
tmp = getattr(self.dataOut, value.replace('_db', ''))
|
|
|
SNRavg = numpy.average(tmp, axis=0)
|
|
|
tmp = 10*numpy.log10(SNRavg)
|
|
|
else:
|
|
|
tmp = getattr(self.dataOut, value)
|
|
|
out[key] = tmp.flatten()[:len(heights)]
|
|
|
elif isinstance(value, (tuple, list)):
|
|
|
attr, x = value
|
|
|
data = getattr(self.dataOut, attr)
|
|
|
out[key] = data[int(x)][:len(heights)]
|
|
|
|
|
|
a = numpy.array([out[k] for k in self.keys])
|
|
|
nrows = numpy.array([numpy.isnan(a[:, x]).all() for x in range(len(heights))])
|
|
|
index = numpy.where(nrows == False)[0]
|
|
|
|
|
|
rec = madrigal.cedar.MadrigalDataRecord(
|
|
|
self.kinst,
|
|
|
self.kindat,
|
|
|
startTime.year,
|
|
|
startTime.month,
|
|
|
startTime.day,
|
|
|
startTime.hour,
|
|
|
startTime.minute,
|
|
|
startTime.second,
|
|
|
startTime.microsecond/10000,
|
|
|
endTime.year,
|
|
|
endTime.month,
|
|
|
endTime.day,
|
|
|
endTime.hour,
|
|
|
endTime.minute,
|
|
|
endTime.second,
|
|
|
endTime.microsecond/10000,
|
|
|
list(self.oneDDict.keys()),
|
|
|
list(self.twoDDict.keys()),
|
|
|
len(index),
|
|
|
**self.extra_args
|
|
|
)
|
|
|
|
|
|
# Setting 1d values
|
|
|
for key in self.oneDDict:
|
|
|
rec.set1D(key, getattr(self.dataOut, self.oneDDict[key]))
|
|
|
|
|
|
# Setting 2d values
|
|
|
nrec = 0
|
|
|
for n in index:
|
|
|
for key in out:
|
|
|
rec.set2D(key, nrec, out[key][n])
|
|
|
nrec += 1
|
|
|
|
|
|
self.fp.append(rec)
|
|
|
if self.ext == '.hdf5' and self.counter % 500 == 0 and self.counter > 0:
|
|
|
self.fp.dump()
|
|
|
if self.counter % 20 == 0 and self.counter > 0:
|
|
|
log.log(
|
|
|
'Writing {} records'.format(
|
|
|
self.counter),
|
|
|
'MADWriter')
|
|
|
|
|
|
def setHeader(self):
|
|
|
'''
|
|
|
Create an add catalog and header to cedar file
|
|
|
'''
|
|
|
|
|
|
log.success('Closing file {}'.format(self.fullname), 'MADWriter')
|
|
|
|
|
|
if self.ext == '.dat':
|
|
|
self.fp.write()
|
|
|
else:
|
|
|
self.fp.dump()
|
|
|
self.fp.close()
|
|
|
|
|
|
header = madrigal.cedar.CatalogHeaderCreator(self.fullname)
|
|
|
header.createCatalog(**self.catalog)
|
|
|
header.createHeader(**self.header)
|
|
|
header.write()
|
|
|
|
|
|
def putData(self):
|
|
|
|
|
|
if self.dataOut.flagNoData:
|
|
|
return 0
|
|
|
|
|
|
if self.dataOut.flagDiscontinuousBlock or self.counter == self.blocks:
|
|
|
if self.counter > 0:
|
|
|
self.setHeader()
|
|
|
self.counter = 0
|
|
|
|
|
|
if self.counter == 0:
|
|
|
self.setFile()
|
|
|
|
|
|
self.writeBlock()
|
|
|
self.counter += 1
|
|
|
|
|
|
def close(self):
|
|
|
|
|
|
if self.counter > 0:
|
|
|
self.setHeader()
|
