F-Spot was my favorite photo management program for the past years. In connection with GIMP as photo editor it was a good team. Again and again I came accross Windows users using Lightroom which seemed to make everything so easy. After some other photo editing session I reached the point where the limit was reached. I had to change something! But what? Switch to Windows? Nogo! After searching for alternative solutions I cam accross darktable. This piece of software seemed to be exactly what I was searching for. After some test it was clear: I need to move from F-Spot to Darktable.
The main problem: There is no import function for migrating the photo library from F-Spot to Darktable. At the moment I have like 20k photos in my database and all are well tagged. I would never throw that work away! After some searching I realized that there is no solution out there. I had to create a solution for myself.
I knew that F-Spot stores it’s information about images in an SQLite database. It should be no problem to extract those information. After a short chat at the
#darktable channel in freenode IRC network I knew that darktable reads the
*.xmp files during import of the images. Seems to be a straight forward solution: Write a script which reads the photos and tags from the F-Spot SQLite database and create an
.xmp file for each image. Then import the images to Darktable. And be happy.
The plan was a good one. It worked like a charm. Don’t know if some others might trap into this situation but I decided to release the script. Here it is:
#!/usr/bin/python # encoding: utf-8 # # Copyright (C) 2012 Lars Michelsen <email@example.com>, # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, # # GNU General Public License: http://www.gnu.org/licenses/gpl-2.0.txt # # Report bugs to: firstname.lastname@example.org import os, sys, urllib2 fspot_db = '%s/.config/f-spot/photos.db' % os.getenv('HOME') opt_verbose = '-v' in sys.argv or '--verbose' in sys.argv opt_help = '-h' in sys.argv or '--help' in sys.argv def help(): sys.stderr.write(''' fspot2darktable This script helps migrating your photo library from F-Spot to Darktable. It extracts assigned tags from the F-Spot SQLite database and creates .xmp files for each image with the tag information. The script cares about and preserves the tag hierarchy structure. The script must be executed as user which F-Spot DB should be migrated. The script will query the SQLite database of F-Spot and extract all tags and hierarchical tag information from the database for images which do exist on your harddrive and do not have an associated xmp file yet. It will write those information in a basic xmp file. This script has been developed to be executed only once for a photo library. The cleanest way is to execute it before you import your images into Darktable. This way you can ensure all the new tags are really loaded correctly into Darktable. During development I removed the images again and again from the Darktable database and also removed all *.xmp files in my photo folders to have a clean start. After cleaning up those things I ran fspot2darktable, then started Darktable and imported all the fotos. After executing the script you can import single images or the whole photo library to Darktable. You should see your tag definitions in Darktable now. The script has been developed with - F-Spot 0.8.2 - Darktable 1.0 Please report bugs to <email@example.com>. ''') def err(s): sys.stderr.write('%s\n' % s) sys.exit(1) def log(s): sys.stdout.write('%s\n' % s) def verbose(s): if opt_verbose: sys.stdout.write('%s\n' % s) if opt_help: help() sys.exit(3) try: import sqlite3 except Exception, e: err('Unable to import sqlite3 module (%s)' % e) if not os.path.exists(fspot_db): err('The F-Spot database at %s does not exist.' % fspot_db) conn = sqlite3.connect(fspot_db) cur = conn.cursor() # Loop all images, get all tags for each image cur.execute('SELECT id, base_uri, filename FROM photos') num_files = 0 num_not_existing = 0 num_xmp_existing = 0 num_created = 0 for id, base_uri, filename in cur: num_files += 1 # F-Spot URLs are url encoded. Decode them here. There seem to be # some encoding mixups possible. Damn. Try simple utf-8 then latin-1 # vs utf-8. This works for me but might not for others... let me know # if you got a better way solving this path = urllib2.unquote(base_uri.replace('file://', '')) try: path = path.decode('utf8') except UnicodeEncodeError: path = path.encode('latin-1').decode('utf-8') path += '/' + filename xmp_path = path + '.xmp' if not os.path.exists(path): verbose('Skipping non existant image (%s)' % path) num_not_existing += 1 continue if os.path.exists(xmp_path): verbose('Skipping because of existing XMP file (%s)' % path) num_xmp_existing += 1 continue # Walks the tag categories upwards to find all the parent tags to # build a list of parent tags. This will be used later to build # hierarchical tags in the XMP files instead simple tags def parent_tags(category_id): cur = conn.cursor() cur.execute( 'SELECT id, name, is_category, category_id ' 'FROM tags WHERE id=\'%d\'' % category_id ) tag_id, tag, is_category, category_id = cur.fetchone() parent_tags_list =  if category_id != 0: parent_tags_list += parent_tags(category_id) return parent_tags_list + [ tag ] hierarchical_tags =  simple_tags =  cur2 = conn.cursor() cur2.execute( 'SELECT tag_id, name, is_category, category_id ' 'FROM tags, photo_tags WHERE photo_id=\'%d\' AND id=tag_id' % id) for tag_id, tag, is_category, category_id in cur2: if category_id: hierarchical_tags.append('|'.join(parent_tags(category_id) + [ tag ])) else: simple_tags.append(tag) def xml_fmt(tags): return ''.join([ ' <rdf:li>%s</rdf:li>' % \ t.encode('utf-8') for t in tags ]) # Now really create the xmp file file(xmp_path, 'w').write('''<?xpacket begin="<feff>" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 4.4.0-Exiv2"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:darktable="http://darktable.sf.net/" xmlns:lr="http://ns.adobe.com/lightroom/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmp:Rating="1" darktable:xmp_version="1" darktable:raw_params="0"> <darktable:colorlabels> <rdf:Seq/> </darktable:colorlabels> <darktable:history_modversion> <rdf:Bag/> </darktable:history_modversion> <darktable:history_enabled> <rdf:Bag/> </darktable:history_enabled> <darktable:history_operation> <rdf:Bag/> </darktable:history_operation> <darktable:history_params> <rdf:Bag/> </darktable:history_params> <darktable:blendop_params> <rdf:Bag/> </darktable:blendop_params> <lr:hierarchicalSubject> <rdf:Seq> %s </rdf:Seq> </lr:hierarchicalSubject> <dc:subject> <rdf:Seq> %s </rdf:Seq> </dc:subject> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="w"?>''' % (xml_fmt(hierarchical_tags), xml_fmt(simple_tags))) num_created += 1 log('FINISHED! - Summary:') log(' %-10s images in total' % num_files) log(' %-10s images do not exist' % num_not_existing) log(' %-10s images already have xmp files' % num_xmp_existing) log(' %-10s created xmp files' % num_created)
Simply copy the script to your system, name it for example
fspot2darktable, make it executable (
chmod +x fspot2darktable) and execute it with
./fspot2darktable -h. The help output should give you enough information about how the script is working and what it is doing. To let the script do it’s work execute it without parameters like this:
Ein Licht geht auf
Kleiner Wasserfall am Walchensee
Das Licht im Dunkel
Bei Nacht am See
Running like the golden thread
Portrait eines Rothalskasuar
Fleißige Bienchen #2
Fleißige Bienchen #1