radiation-tagger/rad_tag.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""Iterates over a bunch of .jpg or .cr2 files and matches 
DateTimeOriginal from Exif tag to DateTime in a csv log 
of a GeigerMuellerCounter and writes its value to the UserComment
Exif tag in µS/h"""

from datetime import datetime, timedelta
import os
import shutil
import csv
import argparse
import pytz
import pyexiv2
import gpxpy
from functions import Radiation

# SIFACTOR for GQ Geiger counters

# 300  series: 0.0065   µSv/h / CPM
# 320  series: 0.0065   µSv/h / CPM
# 500  series: 0.0065   µSv/h / CPM
# 500+ series: 0.0065   µSv/h / CPM for the first tube
# 600  series: 0.0065   µSv/h / CPM
# 600+ series: 0.002637 µSv/h / CPM

# Configure argument parser for cli options
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter, 
                                 description='''A unix-tyle tool that 
    extracts GPS and/or radiation data from GPX/CSV files and writes
    them into the Exif tags of given photos.''')
parser.add_argument('-si', '--sifactor', type=float, default=0.0065, 
                    help='Factor to multiply recorded CPM with.')
parser.add_argument('-tz', '--timezone', type=str, metavar='Timezone', default='utc',
                    help='''Manually set timezone of CSV / and Photo timestamp,
                    defaults to UTC if omitted. This is useful, if the GPS-Logger
                    saves the time incl. timezone''')
parser.add_argument('-d', '--dry', action='store_true', 
                    help='Dry-run, do not actually write anything.')
parser.add_argument('csv', metavar='CSV', type=str, 
                    help='Geiger counter history file in CSV format.')
parser.add_argument('-g', '--gpx', metavar='GPX', type=str,
                    help='GPS track in GPX format')
parser.add_argument('photos', metavar='Photo', type=str, nargs='+', 
                    help='One or multiple photo image files to process.')
parser.add_argument('-o', '--outdir', type=str, default='.', 
                    help='Directory to output processed photos.')

args = parser.parse_args()

# Create timezone datetime object
local_timezone = pytz.timezone(args.timezone)

# Initialize two empty lists for comparison
radiation_list = []
position_list = []

# Import GeigerCounter log
with open(args.csv, "r") as f:
    csv_reader = csv.reader(filter(lambda row: row[0] != '#', f), 
                            delimiter=',', skipinitialspace=True)

    for _, csv_raw_time, csv_raw_cpm, _ in csv_reader:
        radiation = Radiation(csv_raw_time, csv_raw_cpm, local_timezone, args.sifactor)
        radiation_list.append(radiation)
        #print(radiation_list)

    # close CSV file
    f.close()

# Import GPX track(s)
if args.gpx is not None:
    gpx_file = open(args.gpx, 'r')
    gpx_reader = gpxpy.parse(gpx_file)

    for waypoint in gpx_reader.waypoints:
        for track in gpx_reader.tracks:
            for segment in track.segments:
                for point in segment.points:
                    position = [point.time, point.latitude, point.longitude]
                    position_list.append(position)
                    #print(position_list)


# Inform the user about what is going to happen
if args.dry is True:
    print('Not modifying anything. Just print what would happen without --dry')
else:
    if args.outdir == ".":
        print('Modifying photos in place (overwrite)')
    else:
        print('Modifying photos in', str(args.outdir), '(copy)')

for src_photo in args.photos:
    # Get image file name out of path
    photo_basename = os.path.basename(src_photo)

    # Decide whether to modify photo in place or to copy it to outdir first
    # Then set the destination file as 'photo' to work on
    if args.outdir == ".":
        photo = src_photo
    else:
        # be os aware and use the correct directory delimiter for destfile
        dst_photo = os.path.join(args.outdir, photo_basename)
        # Don't copy image if in dry-run mode
        if args.dry == 'True':
            shutil.copy(src_photo, dst_photo)
            photo = dst_photo
        else:
            photo = src_photo

    # Load Exif data from image
    metadata = pyexiv2.ImageMetadata(photo)
    metadata.read()
    tag = metadata['Exif.Photo.DateTimeOriginal']
    # tag.value creates datetime object in pictime
    pic_naive_time = tag.value
    # Set timezone
    pic_time = pic_naive_time.astimezone(local_timezone)

# Print table header
print('{:<15} {:<25} {:<22}'.format('filename', 'date / time', 'Exif UserComment'))