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The tool bufr_dump can generate code in Fortran90, Python, C and ecCodes filter language ( that can be executed and tested with bufr_filter command line tool). More information, examples etc available at

ecCodes Home

UPDATES

Updated the code to encode BUFR and fixed dataframes. Includes new command line options to provide the Wigos Identifier tables and log file, Jose Mauro Resende provided the Wigos Identifier csv file and contributed to the code as well.


Code Block
languagepy
titletest_wigos5.py
#!/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()


...