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# Code source de EWtoPy

    #!/usr/bin/env python

    """Convert EasyWeather.dat data to pywws format
    ::

    %s

    This program assumes that EasyWeather used your local time, and
    converts time stamps to UTC. This can create ambiguities when the
    clocks go back in October, which the program attempts to detect and
    correct.

    """

    __docformat__ = "restructuredtext en"
    __usage__ = """
     usage: python EWtoPy.py [options] EasyWeather_file data_dir
     options are:
      -h or --help    display this help
     EasyWeather_file is the input data file, e.g. EasyWeather.dat
     data_dir is the root directory of the weather data
    """
    __doc__ %= __usage__
    __usage__ = __doc__.split('\n')[0] + __usage__

    from datetime import datetime, timedelta
    import getopt
    import os
    import sys

    from pywws import DataStore
    from pywws import TimeZone

    def main(argv=None):
        if argv is None:
            argv = sys.argv
        try:
            opts, args = getopt.getopt(argv[1:], "", ['help'])
        except getopt.error, msg:
            print >>sys.stderr, 'Error: %s\n' % msg
            print >>sys.stderr, __usage__.strip()
            return 1
        # process options
        for o, a in opts:
            if o == '--help':
                usage()
                return 0
        # check arguments
        if len(args) != 2:
            print >>sys.stderr, 'Error: 2 arguments required\n'
            print >>sys.stderr, __usage__.strip()
            return 2
        # process arguments
        in_name = args[0]
        out_name = args[1]
        # open input
        in_file = open(in_name, 'r')
        # open data file store
        ds = DataStore.data_store(out_name)
        # get time to go forward to
        first_stored = ds.after(datetime.min)
        if first_stored == None:
            first_stored = datetime.max
        # copy any missing data
        last_date = None
        count = 0
        for line in in_file:
            items = line.split(',')
            local_date = DataStore.safestrptime(items[2].strip(), '%Y-%m-%d %H:%M:%S')
            local_date = local_date.replace(tzinfo=TimeZone.Local)
            date = local_date.astimezone(TimeZone.utc)
            if last_date and date < last_date:
                date = date + timedelta(hours=1)
                print "Corrected DST ambiguity %s %s -> %s" % (
                    local_date, local_date.tzname(), date)
            last_date = date
            date = date.replace(tzinfo=None)
            # get data
            data = {}
            data['delay'] = int(items[3])
            data['hum_in'] = int(items[4])
            data['temp_in'] = float(items[5])
            try:
                data['hum_out'] = int(items[6])
            except:
                data['hum_out'] = None
            try:
                data['temp_out'] = float(items[7])
            except:
                data['temp_out'] = None
            data['abs_pressure'] = float(items[10])
            try:
                data['wind_ave'] = float(items[12])
            except:
                data['wind_ave'] = None
            try:
                data['wind_gust'] = float(items[14])
            except:
                data['wind_gust'] = None
            try:
                data['wind_dir'] = int(items[16])
            except:
                data['wind_dir'] = None
            data['rain'] = int(items[18]) * 0.3
            data['status'] = int(items[35].split()[15], 16)
            # check against first_stored
            if first_stored - date < timedelta(minutes=data['delay'] // 2):
                break
            ds[date] = data
            count += 1
        print "%d records written" % count
        in_file.close()
        del ds
        return 0
    if __name__ == "__main__":
        sys.exit(main())

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