105 lines
4.2 KiB
Python
Executable File
105 lines
4.2 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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''' Iterates over a bunch of .jpg or .cr2 files and matches
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DateTimeOriginal from Exif tags to DateTime in a csv log
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of a GeigerMuellerCounter and writes its value to Exif/ITPC/XMP tags in µS/h '''
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import csv
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import argparse
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import pytz
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import gpxpy
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from functions import Radiation, Photo, Match, Exif, Output
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# SIFACTOR for GQ Geiger counters
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# 300 series: 0.0065 µSv/h / CPM
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# 320 series: 0.0065 µSv/h / CPM
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# 500 series: 0.0065 µSv/h / CPM
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# 500+ series: 0.0065 µSv/h / CPM for the first tube
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# 600 series: 0.0065 µSv/h / CPM
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# 600+ series: 0.002637 µSv/h / CPM
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# Configure argument parser for cli options
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parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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description='''A unix-tyle tool that
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extracts GPS and/or radiation data from GPX/CSV files and writes
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them into the Exif/ITPC/XMP tags of given photos.''')
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parser.add_argument('-si', '--sifactor', type=float, default=0.0065,
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help='Factor to multiply recorded CPM with.')
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parser.add_argument('-tz', '--timezone', type=str, metavar='Timezone', default='utc',
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help='''Manually set timezone of CSV / and Photo timestamp,
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defaults to UTC if omitted. This is useful, if the GPS-Logger
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saves the time incl. timezone''')
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parser.add_argument('-d', '--dry', action='store_true',
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help='Dry-run, do not actually write anything.')
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parser.add_argument('csv', metavar='CSV', type=str,
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help='Geiger counter history file in CSV format.')
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parser.add_argument('-g', '--gpx', metavar='GPX', type=str,
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help='GPS track in GPX format')
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parser.add_argument('photos', metavar='Photo', type=str, nargs='+',
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help='One or multiple photo image files to process.')
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parser.add_argument('-o', '--outdir', type=str, default='.',
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help='Directory to output processed photos.')
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args = parser.parse_args()
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# Create timezone datetime object
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local_timezone = pytz.timezone(args.timezone)
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# Initialize two empty lists for all radiation / gps values
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radiation_list = []
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position_list = []
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# Import GeigerCounter log
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with open(args.csv, "r") as f:
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csv = csv.reader(filter(lambda row: row[0] != '#', f),
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delimiter=',', skipinitialspace=True)
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# Import only relevant values, that's timestamp and CP/M
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for _, csv_raw_time, csv_raw_cpm, _ in csv:
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radiation = Radiation(csv_raw_time, csv_raw_cpm, local_timezone, args.sifactor)
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radiation_list.append(radiation)
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# close CSV file
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f.close()
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# Import GPX track(s)print
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if args.gpx:
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gpx_file = open(args.gpx, 'r')
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gpx_reader = gpxpy.parse(gpx_file)
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for track in gpx_reader.tracks:
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for segment in track.segments:
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for point in segment.points:
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point_aware_time = point.time.astimezone(local_timezone)
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position = (point_aware_time, point.latitude, point.longitude,
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point.elevation)
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position_list.append(position)
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# Inform the user about what is going to happen
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if args.dry:
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print('Not modifying anything. Just print what would happen without --dry')
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else:
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if args.outdir == ".":
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print('Modifying photos in place (overwrite)')
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else:
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print('Modifying photos in', str(args.outdir), '(copy)')
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# Print table header
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print('{:<15} {:<25} {:<22}'.format('filename', 'date / time', 'Matched Data'))
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for src_photo in args.photos:
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# Instantiate photo, copy it to destdir if needed and receive filename to work on
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photo = Photo(src_photo, local_timezone, args.outdir, args.dry)
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# Here the matching magic takes place
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match = Match(photo.get_date, radiation_list, position_list)
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# Formatted output:
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data = Output(match.radiation_value, match.position_latitude,
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match.position_longitude, match.position_altitude)
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print('{:<15} {:<25} {:<22}'.format(photo.get_photo_basename, str(photo.get_date), str(data)))
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# Write exif data
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Exif(photo.get_photo_filename, args.dry, match.radiation_value,
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match.position_latitude, match.position_longitude, match.position_altitude)
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