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#!/usr/bin/env python
'''
# Copyright 2005-2018 ECMWF.
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernmental organisation
# nor does it submit to any jurisdiction
This is a test program to encode Wigos Synop
requires
1) ecCodes version 2.8 or above (available at https://confluence.ecmwf.int/display/ECC/Releases)
2) python2.7
To run the program
./test_wigos4.py -a Ascii_csv_file -b output_Bufr
Uses BUFR version 4 template 301150 307091
Author : Roberto Ribas Garcia ECMWF 27 Sep 2018
Modifications
Author : Roberto Ribas Garcia ECMWF 7 Nov 2018
added new command line option to read the station codes
added simplified quality control
changed logic to read station codes and update bufr accordingly
added logging information
'''
import argparse
#import ipdb
import pandas as pd
import numpy as np
from datetime import datetime
from eccodes import (codes_set, codes_set_array, codes_bufr_new_from_samples,codes_write,codes_get_api_version,
codes_release, CodesInternalError,CODES_MISSING_DOUBLE,CODES_MISSING_LONG)
import logging
def read_cmdline():
'''
reads the command line to get the input ascii filename and the output bufr file
usage
prog -a Ascii_input_file -b Bufr_output_file -w wigosIDs_csvfile -l logFileName
'''
p = argparse.ArgumentParser()
p.add_argument('-a', '--ascii', help = 'input Ascii filename')
p.add_argument('-b', '--bufr', help = 'output Bufr filename')
p.add_argument("-w", "--wigoscodes",help="csv with the station codes")
p.add_argument("-l","--logging", help="log file")
args = p.parse_args()
return args
def read_ascii(inputFilename):
'''
function to read the Ascii data into a pandas dataframe,
args:
inputFilename : full path of the Ascii file for example /tmp/data/rema_20180918.txt
uses white spaces as column delimiters
index_col = False avoids using the first column (Station) as index
names is the list of names from the excel it can be changed but this affects the dataframe
returns the pandas dataframe dfM (for Measurement)
'''
dfM = pd.read_csv(inputFilename,
header = None,
index_col = False,
delim_whitespace = True,
names = ['station', 'year', 'month', 'day', 'ObsHour', 'TensBat', 'TempCpu', 'airTinst',
'airTmax', 'airTmin', 'relHinst', 'relHmax', 'relHmin', 'dewPInst', 'dewPmax',
'dewPmin', 'PresInst', 'PresMax', 'PresMin', 'WindSpeed', 'WindDir', 'WindGust',
'Rad', 'Precip', 'CloudCoverTot', 'CloudCODE', 'CloudBase', 'Visib'])
cols=dfM.columns.drop("station")
dfM[cols]=dfM[cols].apply(pd.to_numeric,errors="coerce")
return dfM
# column 1 = station column 2 = year column 3 = month column 4 = day column 5 = ObsHour column 6 = TensBat column 7 = TempCpu
# column 8 = airTinst column 9 = airTmax column 10 = airTmin column 11 = relHinst column 12 = relHmax column 13 = relHmin
# column 14 = dewPInst column 15 = dewPmax column 16 = dewPmin column 17 = PresInst column 18 = PresMax column 19 = PresMin
# column 20 = WindSpeed column 21 = WindDir column 22 = WindGust column 23 = Rad column 24 = Precip column 25 = CloudCoverTot
# column 26 = CloudCODE column 27 = CloudBase column 28 = Visib
#
#
# column 1 = station column 2 = Name column 3 = Latitude column 4 = Longitude column 5 = Elevation column 6 = UF
# column 7 = Region column 8 = Date column 9 = ID_WIGOS column 10 = status
def message_encoding(FullInputFileName, fout,dfEst):
'''
Message encoding function
FullInputFilename : full path of the Ascii file for example /tmp/data/rema_20180918.txt
fout : file Object to write the output bufr file( obtained by a call to open )
Requires ecCodes and the BUFR4_local template on
ECCODES_PATH/share/eccodes/samples
'''
TEMPLATE = 'BUFR4_local'
# reads the Ascii file into a pandas Dataframe of measurements dfM
dfM = read_ascii(FullInputFileName)
# Header
fout.write('ISAI99 SBBR ' + str(dfM['day'][0]) + str(dfM['ObsHour'][0]) + '00\r\r\n')
# loops over the rows of the dataFrame dfFull
nValidMessages=0
nWrongMessages=0
for imsg, mrow in dfM.iterrows():
#here it checks that the measurement station is in the WigosCodes file otherwise,
#does not encode the message
stationToEncode=mrow["station"]
dfStationInfo=dfEst.query("CODIGO=='{0}'".format(stationToEncode))
if dfStationInfo.empty:
logging.warn("message for station {0} could not be encoded ".format(mrow["station"]))
nWrongMessages+=1
else:
logging.info( "encoding message {0}".format(imsg+1))
bid = codes_bufr_new_from_samples(TEMPLATE)
try:
bufr_encode_new(bid, mrow,dfStationInfo)
codes_write(bid, fout)
except CodesInternalError as ec:
print ec
codes_release(bid)
nValidMessages+=1
logging.info(" number of valid messages {0} number of invalid messages {1}".format(nValidMessages,nWrongMessages))
def read_estacoes_data(StationCodeFile):
'''
reads the Stations Code File ( with information such as name,lat, lon,alt, WigosId etc)
the name is read through the command line argument -c
'''
dfEst = pd.read_csv(StationCodeFile,
header = 0,
index_col = False)
return dfEst
def bufr_encode_new(ibufr, row,dfStationInfo):
'''
encodes the new SYNO 307091 adding the 1125, 1126, 1127, 1128 wigos keys before.
'''
ivalues = (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,)
codes_set_array(ibufr, 'inputShortDelayedDescriptorReplicationFactor', ivalues)
codes_set(ibufr, 'edition', 4)
codes_set(ibufr, 'masterTableNumber', 0)
codes_set(ibufr, 'bufrHeaderCentre', 43)
codes_set(ibufr, 'bufrHeaderSubCentre', 0)
codes_set(ibufr, 'updateSequenceNumber', 0)
codes_set(ibufr, 'dataCategory', 0)
codes_set(ibufr, 'internationalDataSubCategory', 255)
codes_set(ibufr, 'dataSubCategory', 170)
codes_set(ibufr, 'masterTablesVersionNumber', 29)
codes_set(ibufr, 'localTablesVersionNumber', 0)
# set the YMD
codes_set(ibufr, 'typicalYear', row['year'])
codes_set(ibufr, 'typicalMonth', row['month'])
codes_set(ibufr, 'typicalDay', row['day'])
codes_set(ibufr, 'typicalHour', row['ObsHour'])
codes_set(ibufr, 'typicalMinute', 0)
codes_set(ibufr, 'typicalSecond', 0)
# Encodes the Section 2 of the BUFR used internally at ECMWF (start here)
# codes_set(ibufr, 'rdbType', 1)
# codes_set(ibufr, 'oldSubtype', 176)
# codes_set(ibufr, 'localYear', row['year'])
# codes_set(ibufr, 'localMonth', row['month'])
# codes_set(ibufr, 'localDay', row['day'])
# codes_set(ibufr, 'localHour', row['ObsHour'])
# codes_set(ibufr, 'localMinute', 0)
# codes_set(ibufr, 'localSecond', 0)
# procTime = datetime.now()
# codes_set(ibufr, 'rdbtimeDay', procTime.day)
# codes_set(ibufr, 'rdbtimeHour', procTime.hour)
# codes_set(ibufr, 'rdbtimeMinute', procTime.minute)
# codes_set(ibufr, 'rdbtimeSecond', procTime.second)
# codes_set(ibufr, 'rectimeDay', procTime.day )
# codes_set(ibufr, 'rectimeHour', procTime.hour)
# codes_set(ibufr, 'rectimeMinute', procTime.minute)
# codes_set(ibufr, 'rectimeSecond', procTime.second)
# codes_set(ibufr, 'correction1', 0)
# codes_set(ibufr, 'correction1Part', 0)
# codes_set(ibufr, 'correction2', 0)
# codes_set(ibufr, 'correction2Part', 0)
# codes_set(ibufr, 'correction3', 0)
# codes_set(ibufr, 'correction3Part', 0)
# codes_set(ibufr, 'correction4', 0)
# codes_set(ibufr, 'correction4Part', 0)
# codes_set(ibufr, 'qualityControl', 70)
# codes_set(ibufr, 'newSubtype', 0)
# codes_set(ibufr, 'numberOfSubsets', 1)
# codes_set(ibufr, 'localLatitude', data['lat'])
# codes_set(ibufr, 'localLongitude', data['lon'])
#### End of encoding local section 2
codes_set(ibufr, 'observedData', 1)
codes_set(ibufr, 'compressedData', 0)
ivalues = (301150, 307091)
codes_set_array(ibufr, 'unexpandedDescriptors', ivalues)
codes_set(ibufr, 'wigosIdentifierSeries',0 )
codes_set(ibufr, 'wigosIssuerOfIdentifier', 76)
codes_set(ibufr, 'wigosIssueNumber', 0)
WigosCode=dfStationInfo["WIGOS"].values[0]
wigosIdChar=WigosCode.split("-")[-1]
codes_set(ibufr, 'wigosLocalIdentifierCharacter',wigosIdChar )
codes_set(ibufr, 'stateIdentifier', CODES_MISSING_LONG)
codes_set(ibufr, 'nationalStationNumber', CODES_MISSING_LONG)
block=dfStationInfo["BLOCK"].values[0]
codes_set(ibufr, 'blockNumber', block)
stationNumber=dfStationInfo["STATION"].values[0]
codes_set(ibufr, 'stationNumber', stationNumber)
stationName=dfStationInfo["NOME"].values[0]
codes_set(ibufr, 'stationOrSiteName', stationName)
codes_set(ibufr, 'stationType', 0)
codes_set(ibufr, 'year', row['year'])
codes_set(ibufr, 'month', row['month'])
codes_set(ibufr, 'day', row['day'])
codes_set(ibufr, 'hour', row['ObsHour'])
codes_set(ibufr, 'minute', 0)
stationLat=dfStationInfo["LATITUDE"].values[0]
stationLon=dfStationInfo["LONGITUDE"].values[0]
stationAltitude=dfStationInfo["ALTITUDE"].values[0]
codes_set(ibufr, 'latitude', stationLat)
codes_set(ibufr, 'longitude', stationLon)
codes_set(ibufr, 'heightOfStationGroundAboveMeanSeaLevel', stationAltitude)
altitude = float(stationAltitude) + 1.5
codes_set(ibufr, 'heightOfBarometerAboveMeanSeaLevel', altitude)
codes_set(ibufr, 'surfaceQualifierForTemperatureData', CODES_MISSING_LONG)
codes_set(ibufr, 'mainPresentWeatherDetectingSystem', CODES_MISSING_LONG)
codes_set(ibufr, 'supplementaryPresentWeatherSensor', CODES_MISSING_LONG)
codes_set(ibufr, 'visibilityMeasurementSystem', CODES_MISSING_LONG)
codes_set(ibufr, 'cloudDetectionSystem', CODES_MISSING_LONG)
codes_set(ibufr, 'lightningDetectionSensorType', CODES_MISSING_LONG)
codes_set(ibufr, 'skyConditionAlgorithmType', CODES_MISSING_LONG)
codes_set(ibufr, 'capabilityToDetectPrecipitationPhenomena', CODES_MISSING_LONG)
codes_set(ibufr, 'capabilityToDetectOtherWeatherPhenomena', CODES_MISSING_LONG)
codes_set(ibufr, 'capabilityToDetectObscuration', CODES_MISSING_LONG)
codes_set(ibufr, 'capabilityToDiscriminateLightningStrikes', CODES_MISSING_LONG)
codes_set(ibufr, '#1#nonCoordinatePressure', CODES_MISSING_DOUBLE)
pressure=row["PresInst"]
pressure = float(pressure) * 100
codes_set(ibufr, 'pressureReducedToMeanSeaLevel', pressure)
codes_set(ibufr, '3HourPressureChange', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'characteristicOfPressureTendency', CODES_MISSING_LONG)
codes_set(ibufr, 'pressure', pressure)
codes_set(ibufr, 'nonCoordinateGeopotentialHeight', CODES_MISSING_LONG)
codes_set(ibufr, '#1#heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#1#heightOfSensorAboveWaterSurface', CODES_MISSING_DOUBLE)
airTInst=row["airTinst"]
if airTInst!=CODES_MISSING_DOUBLE:
temperature = airTInst + 273.15
else:
temperature=airTInst
codes_set(ibufr, '#1#airTemperature', temperature)
dewPInst=row["dewPInst"]
dewPInst=dewPInst+273.15
codes_set(ibufr, 'dewpointTemperature', dewPInst)
relHinst=row["relHinst"]
codes_set(ibufr, '#1#relativeHumidity', relHinst)
codes_set(ibufr, '#1#depthBelowLandSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#1#soilTemperature', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#2#depthBelowLandSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#2#soilTemperature', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#3#depthBelowLandSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#3#soilTemperature', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#4#depthBelowLandSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#4#soilTemperature', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#5#depthBelowLandSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#5#soilTemperature', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#6#depthBelowLandSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#2#heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#2#heightOfSensorAboveWaterSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#1#attributeOfFollowingValue', CODES_MISSING_LONG)
visib=row["Visib"]
codes_set(ibufr, 'horizontalVisibility', visib)
codes_set(ibufr, '#3#heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#3#heightOfSensorAboveWaterSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'iceDepositThickness', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'rateOfIceAccretionEstimated', CODES_MISSING_LONG)
codes_set(ibufr, 'methodOfWaterTemperatureAndOrOrSalinityMeasurement', CODES_MISSING_LONG)
codes_set(ibufr, 'oceanographicWaterTemperature', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'wavesDirection', CODES_MISSING_LONG)
codes_set(ibufr, 'periodOfWaves', CODES_MISSING_LONG)
codes_set(ibufr, 'heightOfWaves', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'methodOfStateOfGroundMeasurement', CODES_MISSING_LONG)
codes_set(ibufr, 'stateOfGround', CODES_MISSING_LONG)
codes_set(ibufr, 'methodOfSnowDepthMeasurement', CODES_MISSING_LONG)
codes_set(ibufr, 'totalSnowDepth', CODES_MISSING_DOUBLE)
cloudCoverTot=row["CloudCoverTot"]
codes_set(ibufr, 'cloudCoverTotal', cloudCoverTot)
codes_set(ibufr, '#1#verticalSignificanceSurfaceObservations', CODES_MISSING_LONG)
codes_set(ibufr, '#1#cloudAmount', CODES_MISSING_LONG)
codes_set(ibufr, '#1#cloudType', CODES_MISSING_LONG)
codes_set(ibufr, '#2#attributeOfFollowingValue', CODES_MISSING_LONG)
codes_set(ibufr, '#1#heightOfBaseOfCloud', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#2#verticalSignificanceSurfaceObservations', CODES_MISSING_LONG)
codes_set(ibufr, '#2#cloudAmount', CODES_MISSING_LONG)
codes_set(ibufr, '#2#cloudType', CODES_MISSING_LONG)
codes_set(ibufr, '#3#attributeOfFollowingValue', CODES_MISSING_LONG)
codes_set(ibufr, '#2#heightOfBaseOfCloud', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#3#verticalSignificanceSurfaceObservations', CODES_MISSING_LONG)
codes_set(ibufr, '#3#cloudAmount', CODES_MISSING_LONG)
codes_set(ibufr, '#3#cloudType', CODES_MISSING_LONG)
codes_set(ibufr, '#4#attributeOfFollowingValue', CODES_MISSING_LONG)
codes_set(ibufr, '#3#heightOfBaseOfCloud', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#4#verticalSignificanceSurfaceObservations', CODES_MISSING_LONG)
codes_set(ibufr, '#4#cloudAmount', CODES_MISSING_LONG)
codes_set(ibufr, '#4#cloudType', CODES_MISSING_LONG)
codes_set(ibufr, '#5#attributeOfFollowingValue', CODES_MISSING_LONG)
codes_set(ibufr, '#4#heightOfBaseOfCloud', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'presentWeather', CODES_MISSING_LONG)
codes_set(ibufr, '#1#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'pastWeather1', CODES_MISSING_LONG)
codes_set(ibufr, 'pastWeather2', CODES_MISSING_LONG)
codes_set(ibufr, '#1#timeSignificance', CODES_MISSING_LONG)
codes_set(ibufr, '#2#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'precipitationIntensityHighAccuracy', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'sizeOfPrecipitatingElement', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#2#timeSignificance', CODES_MISSING_LONG)
codes_set(ibufr, '#3#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'precipitationType', CODES_MISSING_LONG)
codes_set(ibufr, 'characterOfPrecipitation', CODES_MISSING_LONG)
codes_set(ibufr, 'durationOfPrecipitation', CODES_MISSING_LONG)
codes_set(ibufr, 'otherWeatherPhenomena', CODES_MISSING_LONG)
codes_set(ibufr, 'intensityOfPhenomena', CODES_MISSING_LONG)
codes_set(ibufr, 'obscuration', CODES_MISSING_LONG)
codes_set(ibufr, 'characterOfObscuration', CODES_MISSING_LONG)
codes_set(ibufr, '#4#heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#4#heightOfSensorAboveWaterSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#3#timeSignificance', CODES_MISSING_LONG)
codes_set(ibufr, '#4#timePeriod', CODES_MISSING_LONG)
windDir=row["WindDir"]
codes_set(ibufr, '#1#windDirection', float(windDir))
windSpeed=row['WindSpeed']
codes_set(ibufr, '#1#windSpeed', float(windSpeed))
codes_set(ibufr, '#4#timeSignificance', CODES_MISSING_LONG)
codes_set(ibufr, '#5#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, '#1#maximumWindGustDirection', CODES_MISSING_LONG)
windGust=row["WindGust"]
codes_set(ibufr, '#1#maximumWindGustSpeed', windGust)
codes_set(ibufr, '#6#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, '#2#maximumWindGustDirection', CODES_MISSING_LONG)
codes_set(ibufr, '#2#maximumWindGustSpeed', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#7#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'extremeCounterclockwiseWindDirectionOfAVariableWind', CODES_MISSING_LONG)
codes_set(ibufr, 'extremeClockwiseWindDirectionOfAVariableWind', CODES_MISSING_LONG)
codes_set(ibufr, '#5#heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#5#heightOfSensorAboveWaterSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#8#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'maximumTemperatureAtHeightAndOverPeriodSpecified', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#1#minimumTemperatureAtHeightAndOverPeriodSpecified', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#6#heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#9#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, '#2#minimumTemperatureAtHeightAndOverPeriodSpecified', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#6#heightOfSensorAboveWaterSurface', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#7#heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'methodOfPrecipitationMeasurement', CODES_MISSING_LONG)
codes_set(ibufr, 'methodOfLiquidContentMeasurementOfPrecipitation', CODES_MISSING_LONG)
codes_set(ibufr, '#10#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'totalPrecipitationOrTotalWaterEquivalent', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#8#heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'methodOfEvaporationMeasurement', CODES_MISSING_LONG)
codes_set(ibufr, '#11#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'evaporation', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#12#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'totalSunshine', CODES_MISSING_LONG)
codes_set(ibufr, '#13#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'longWaveRadiationIntegratedOverPeriodSpecified', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'shortWaveRadiationIntegratedOverPeriodSpecified', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'netRadiationIntegratedOverPeriodSpecified', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'globalSolarRadiationIntegratedOverPeriodSpecified', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'diffuseSolarRadiationIntegratedOverPeriodSpecified', CODES_MISSING_DOUBLE)
codes_set(ibufr, 'directSolarRadiationIntegratedOverPeriodSpecified', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#14#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, 'numberOfFlashesThunderstorm', CODES_MISSING_LONG)
codes_set(ibufr, '#15#timePeriod', CODES_MISSING_LONG)
codes_set(ibufr, '#1#firstOrderStatistics', CODES_MISSING_LONG)
codes_set(ibufr, '#2#nonCoordinatePressure', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#2#windDirection', CODES_MISSING_LONG)
codes_set(ibufr, '#2#windSpeed', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#2#airTemperature', CODES_MISSING_DOUBLE)
codes_set(ibufr, '#2#relativeHumidity', CODES_MISSING_LONG)
codes_set(ibufr, '#2#firstOrderStatistics', CODES_MISSING_LONG)
codes_set(ibufr, 'qualityInformationAwsData', CODES_MISSING_LONG)
codes_set(ibufr, 'internalMeasurementStatusInformationAws', CODES_MISSING_LONG)
#Encode the keys back in the data section
codes_set(ibufr, 'pack', 1)
def main():
'''
main program reads the command line and encodes the messages into the output filename
to run the program
prog -a Ascii_input_file -b Bufr_output_file -w wigosIDs_csvfile -l logFileName
'''
cmdLine = read_cmdline()
inputFilename = cmdLine.ascii
outFilename = cmdLine.bufr
stationFile=cmdLine.wigoscodes
logFile=cmdLine.logging
logging.basicConfig(filename=logFile,format="%(asctime)s %(levelname)s:%(message)s ",level=logging.DEBUG)
logging.info("Using ecCodes version {0}".format(codes_get_api_version()))
fout = open(outFilename, 'w')
dfEstacoes=read_estacoes_data(stationFile)
message_encoding(inputFilename, fout,dfEstacoes)
fout.close()
logging.info(' output file {0}'.format(outFilename))
if __name__ == '__main__':
main()
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