Created Radiation, Photo classes and slimmed down main program.

- Radiation creates a list with timezone_aware datetime and radiation in µS/h.
- Photo reads DateTimeOriginal from photo.
- Photo.write_exif compiles new metadata object and writes exif tags to photo.
- Documentd changes in CHANGELOG.md.
- Changed Readme.me to match changes in code.
- Removed obsolete line from .gitignore
This commit is contained in:
Marcus Scholz 2020-03-10 21:09:25 +01:00
parent d347bbdf55
commit c19a94374e
5 changed files with 75 additions and 29 deletions

3
.gitignore vendored
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@ -1,5 +1,4 @@
testdata
testsource
testdest
testdata
usercomment.sh
__pycache__

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@ -8,12 +8,14 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- Added GPX parser
- Added optional dry-run modifier
- Made timezone-aware for timesources without timezone
- Added optional parameter to override timezone to local timezone, defaults to localtime
- Swith to oop style programming. Made code easier to read.
- Added optional parameter to override timezone to local timezone, defaults to utc
- Refactored variable name_scheme.
- Switch to oop style programming. Made code easier to read.
- Put CSV processing and Exif reading / writing into a class.
## [0.2] - 2020-02-05
### Added
- uses pyexiv2 instead of piexif which is also able to tag various camera raw formats, e. g. CR2
- uses pyexiv2 instead of piexif which is also able to tag various camera raw formats, e. g. CR2 and is capable of writing properly formed UTF-8 strings.
- added copy function to be able to place files to outdir before modification
- added verbose output about what it going to happen
- added table header for output

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@ -1,12 +1,14 @@
# radiation tagger
exif_rad.py is a simple unix-style cross-platform Python 3 tool which can write certain tags to an image file.
rad_tag.py is a simple unix-style cross-platform Python 3 tool which can write certain tags to an image file.
It can scan a couple of images, extract their Exif-tags, and compare the `DateTimeOriginal` with other sources.
By now it can parse a .his (CSV) file from a [GeigerLog](https://sourceforge.net/projects/Geigerlog/) file export and calculate the radiation in µS/h using the factor in `SIFACTOR`.
It can parse a .his (CSV) file from a [GeigerLog](https://sourceforge.net/projects/Geigerlog/) file export and calculate the radiation in µS/h using the factor in `sifactor`.
It then creates a `UserComment` Exif tag with the actual measured radiation at the time the photo has been taken.
Furthermore it can optionally read a gpx-file, compare the timestamps to 'DateTimeOriginal' and determine closest-matching latitude / longitude. If your gpx-file has times stored including the timezone, you can set --timezone to the local timezone, your camera / geiger counter ran at.
It then creates a `UserComment` with the actual measured radiation at the time the photo has been taken and writes the geocoordinates into the appropiate Exif tags.
## Dependencies
Right now it depends on the following non-core Python 3 libraries:
@ -32,7 +34,7 @@ These exported .his files look like this:
## Usage
```
usage: exif_rad.py [-h] [-si SIFACTOR] [-tz Timezone] [-d] [-g GPX]
usage: rad_tag.py [-h] [-si SIFACTOR] [-tz Timezone] [-d] [-g GPX]
[-o OUTDIR]
CSV Photo [Photo ...]
@ -63,7 +65,7 @@ optional arguments:
Use test.hisdb.his from current working dir and modify (overwrite) all .CR2 files in place.
```
./exif_rad.py test.hisdb.his *.CR2
./rat_tag.py test.hisdb.his *.CR2
Modifying photos in place (overwrite)
filename date / time Exif UserComment
DSC_0196.JPG 2020-03-03 18:33:33 NOT FOUND!
@ -74,7 +76,7 @@ DSC_0198.JPG 2020-03-03 22:18:13 Radiation ☢ 0.07 µS/h
Use test.hisdb.his in folder 'testdata', read all .JPG files from 'testsource' and write them to 'testdest'.
```
./exif_rad.py testdata/test.hisdb.his -o testdest/ testsource/*.JPG
./rad_tag.py testdata/test.hisdb.his -o testdest/ testsource/*.JPG
Modifying photos in testdest/ (copy)
filename date / time Exif UserComment
DSC_0196.JPG 2020-03-03 18:33:33 NOT FOUND!
@ -99,6 +101,8 @@ The GMC* defaults are quite sane, but you might want to set the correct serial p
`usbport = /dev/ttyUSB0`
GeigerLog can also use a bunch of other devices while still outputting a csv-file in compatible format.
### Using GeigerLog to download history
Now the program can be started by double-clicking `geigerlog` or by executing `./geigerlog` on the command prompt.
@ -110,11 +114,10 @@ GeigerLog now presents you a rendering of the radiation over time in its main wi
[main_window]: images/geigerlog_main_window.png "GeigerLog Main Window with graph"
Once imported, you can export the history into a hisdb.his-file, which is basically the CSV-file `exif_rad.py` can process. Choose 'History' -> Save History Data into .his file (CSV)'.
Once imported, you can export the history into a hisdb.his-file, which is basically the CSV-file `rad_tag.py` can process. Choose 'History' -> Save History Data into .his file (CSV)'.
## future possibilities
* In the future it should also be able to do the same with a gpx-file to extract geolocations and to write them into the appropiate Exif-fields.
* It might get a setup.py if I want to waste my time on it.
* I might want to get rid of the requirement to use a bloated GUI application to download the history data off the Geigercounter. There must be a neat working command line tool. Maybe I'll write it myself.

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@ -1,14 +1,16 @@
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Classes used by main program. Handles CSV and GPX processing."""
''' Classes used by main program. '''
from datetime import datetime
import pyexiv2
class Radiation:
''' Handles CSV processing.'''
def __init__(self, timestamp, radiation, local_timezone, si_factor):
self.timestamp = self._time_conversion(timestamp, local_timezone)
self.radiation = self._radiation(radiation, si_factor)
self.radiation = self._radiation_conversion(radiation, si_factor)
def __repr__(self):
return '%s %f µS/h' % (str(self.timestamp), self.radiation)
@ -19,7 +21,49 @@ class Radiation:
csv_aware_time = csv_naive_time.astimezone(local_timezone)
return csv_aware_time
def _radiation(self, radiation, si_factor):
def _radiation_conversion(self, radiation, si_factor):
# Convert CP/M to µS/h using si_factor
radiation = round(float(radiation) * si_factor, 2)
return radiation
class Photo:
''' Reads and writes Exif metadata'''
def __init__(self, photo, local_timezone):
self.get_date = self._get_creation_date(photo, local_timezone)
self.photo = photo
def __repr__(self):
return 'Photo Creation Date: %s' % str(self.get_date)
def _get_creation_date(self, photo, local_timezone):
# Load Exif data from photo
metadata = pyexiv2.ImageMetadata(photo)
metadata.read()
date = metadata['Exif.Photo.DateTimeOriginal']
# date.value creates datetime object in pic_naive_time
pic_naive_time = date.value
# Set timezone
pic_aware_time = pic_naive_time.astimezone(local_timezone)
return pic_aware_time
def write_exif(self, radiation, latitude, longitude, dry_run):
''' UNTESTED ! '''
metadata = pyexiv2.ImageMetadata(self.photo)
# Set new UserComment
new_comment = 'Radiation ☢ ' + str(radiation) + ' µS/h'
# Exif tags to write
keys = ['Exif.Photo.UserComment', 'Exif.Photo.latitude', 'Exif.Photo.longitude']
# Values to write
values = [new_comment, latitude, longitude]
# Create metadata object with all data to write
for key, value in zip(keys, values):
metadata[key] = pyexiv2.ExifTag(key, value)
# Write Exif tags to file, if not in dry-run mode
if dry_run == 'True':
metadata.write()
return new_comment

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@ -1,20 +1,18 @@
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Iterates over a bunch of .jpg or .cr2 files and matches
''' 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"""
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
from functions import Radiation, Photo
# SIFACTOR for GQ Geiger counters
@ -110,14 +108,14 @@ for src_photo in args.photos:
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)
pic_aware_time = Photo(photo, local_timezone)
print(photo_basename, pic_aware_time)
# Here the matching magic has to happen
# Write exif data
# exif_tags = Photo.write_exif(radiation, latitude, longitude, args.dry)
# print(exif_tags)
# Print table header
print('{:<15} {:<25} {:<22}'.format('filename', 'date / time', 'Exif UserComment'))