149 lines
4.9 KiB
Python
149 lines
4.9 KiB
Python
'''
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Recommendation Engine Example
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1 Nov 2017, 0x2620
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'''
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import json
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import os
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import random
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import ox
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class Engine:
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def __init__(self, path):
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self.path = path
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self.pandora = Pandora(
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url='http://pandora.dmp/api/',
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username='dd.re',
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password='dd.re'
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)
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filename = os.path.join(self.path, 'playlists.json')
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if os.path.exists(filename):
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with open(filename) as f:
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self.playlists = json.loads(f.read())
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else:
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self.playlists = []
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def _shift_clips(self, clips):
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index = random.randrange(len(clips))
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return clips[index:] + clips[:index - 1]
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def get_videos(self, user):
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# Count tags for the user
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count = {}
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for event in user['events']:
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if 'product' in event['data']:
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count[event['data']['product']] = count.get(
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event['data']['product'], 0
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) + 1
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score = {}
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# For each tag in playlist, increment score by count
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for playlist in self.playlists:
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score[playlist['name']] = random.random()
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for tag in playlist['tags']:
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score[playlist['name']] += count.get(tag, 0)
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# Select 16 highest scoring playlists
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playlists = sorted(
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self.playlists,
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key=lambda playlist: -score[playlist['name']]
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)[:16]
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# Shuffle playlists (randomize layout) and shift clips (randomize start)
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random.shuffle(playlists)
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return [{
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'clips': self._shift_clips(playlist['clips']),
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'name': playlist['name']
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} for playlist in playlists]
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def update(self):
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# Get all storylines with tags
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storylines = [{
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'name': entity['name'],
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'tags': entity['tags']
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} for entity in self.pandora.find_entities({
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'conditions': [
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{'key': 'type', 'operator': '==', 'value': 'storylines'},
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],
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'operator': '&'
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}, ['id', 'name', 'tags']) if entity.get('tags', [])]
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# Get list of storyline names
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names = list(set([storyline['name'] for storyline in storylines]))
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# Get all clips annotated with storyline references
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clips = [clip for clip in self.pandora.find_annotations({
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'conditions': [
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{'key': 'layer', 'operator': '==', 'value': 'storylines'}
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],
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'operator': '&'
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}, ['id', 'in', 'out', 'value']) if clip['value'] in names]
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# Get list of ids for videos with clips
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ids = list(set([clip['id'].split('/')[0] for clip in clips]))
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# Get and cache video data
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filename = os.path.join(self.path, 'videos.json')
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if os.path.exists(filename):
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with open(filename) as f:
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videos_ = json.loads(f.read())
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ids_ = [video['id'] for video in videos_]
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else:
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videos_, ids_ = [], []
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videos = sorted(videos_ + [
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self.pandora.get(id, ['code', 'id', 'order', 'title'])
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for id in ids if not id in ids_
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], key=lambda video: video['order'])
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with open(filename, 'w') as f:
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f.write(json.dumps(videos, indent=4, sort_keys=True))
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# Get video order
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order = {video['id']: video['order'] for video in videos}
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# Sort clips
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clips = sorted(
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clips,
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key=lambda clip: order[clip['id'].split('/')[0]] * 1000000 + clip['in']
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)
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# Get and cache playlists
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self.playlists = [playlist for playlist in [{
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'name': storyline['name'],
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'tags': storyline['tags'],
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'clips': [{
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'id': clip['id'],
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'in': clip['in'],
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'out': clip['out']
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} for clip in clips if clip['value'] == storyline['name']]
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} for storyline in storylines] if playlist['clips']]
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with open(os.path.join(self.path, 'playlists.json'), 'w') as f:
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f.write(json.dumps(self.playlists, indent=4, sort_keys=True))
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class Pandora:
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# pan.do/ra API wrapper
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def __init__(self, url, username, password):
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self.api = ox.API(url)
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self.api.signin(username=username, password=password)
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def find_annotations(self, query, keys):
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# print('FIND ANNOTATIONS', query, keys)
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return self.api.findAnnotations({
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'keys': keys,
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'query': query,
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'range': [0, 1000000]
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})['data']['items']
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def find_entities(self, query, keys):
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# print('FIND ENTITIES', query, keys)
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return self.api.findEntities({
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'keys': keys,
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'query': query,
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'range': [0, 1000000]
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})['data']['items']
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def get(self, id, keys):
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# print('GET', id, keys)
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return self.api.get({
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'id': id,
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'keys': keys
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})['data']
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if __name__ == '__main__':
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engine = Engine('json')
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engine.update()
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