411 lines
16 KiB
Python
411 lines
16 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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from collections import defaultdict
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import json
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import logging
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import os
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import random
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import time
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import copy
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import ox
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from utils import run_async
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logger = logging.getLogger(__name__)
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verbose = True
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class Engine:
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_pandora = None
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def __init__(self, path, **kwargs):
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self.path = path
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self.pandora_args = dict(
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url=kwargs.get('pandora', 'http://pandora.dmp/api/'),
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username=kwargs.get('username', 'dd.re'),
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password=kwargs.get('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.load(f)
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else:
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self.playlists = []
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filename = os.path.join(self.path, 'state.json')
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if os.path.exists(filename):
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with open(filename) as f:
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self.state = json.load(f)
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else:
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self.state = {
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'channels': {
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'globalKeywords': {'locked': False, 'value': 7},
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'userKeywords': {'locked': False, 'value': 7},
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'screenings': {'locked': True, 'value': 2}
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},
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'globalKeywords': {},
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}
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if 'gridChange' not in self.state:
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self.state['gridChange'] = {
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'nextClip': {'locked': True, 'value': 4},
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'nextPlaylist': {'locked': False, 'value': 4},
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'staySame': {'locked': False, 'value': 8}
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}
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self.update_keywords()
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@property
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def pandora(self):
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while not self._pandora:
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try:
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self._pandora = Pandora(**self.pandora_args)
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except:
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logger.error('failed to connect to pandora, retry in 10 seconds')
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time.sleep(10)
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return self._pandora
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def _patch_clips(self, clips):
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inpoints = {}
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for index, clip in enumerate(clips):
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video_id = clip['id'].split('/')[0]
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inpoints[video_id] = inpoints.get(video_id, []) + [{
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'index': index,
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'position': clip['in']
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}]
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for video_id in inpoints:
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for i, inpoint in enumerate(sorted(
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inpoints[video_id], key=lambda inpoint: inpoint['position']
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)):
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if i < len(inpoints[video_id]) - 1:
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clips[inpoint['index']]['out'] = inpoints[video_id][i + 1]['position']
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else:
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clips[inpoint['index']]['out'] = self.pandora.get(video_id, ['duration'])['duration']
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return clips
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def get_videos(self, user):
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if user.get('events', [{}])[0].get("event")=="login":
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return self.get_recommendations(user)
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channels = {k: v.get('value', 0) for k, v in self.state['channels'].items()}
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sliders = {k: v.get('value', 0) for k, v in self.state['globalKeywords'].items()}
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grid_change = {k: v.get('value', 0) for k, v in self.state['gridChange'].items()}
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# check if there were grid events for all indexes.
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grid_events = {}
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(nc, np, ns) = (grid_change.get("nextClip"), grid_change.get("nextPlaylist"), grid_change.get("staySame"))
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# this assumes np + nc + ns = total number of videos in the grid view (16).
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# Make sure sanity check exists in front-end (error if it does not add up to 16).
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video_num = nc + np + ns
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# for event in user.get('events', []):
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# if event.get('event') == "grid" and event.get('data').get('index') not in grid_events:
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# grid_events[event.get('data').get('index')] = event.get('data')
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# if len(grid_events) == video_num:
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# break
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# # The version where the loop also extract play_index (requires "index" in play event data):
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play_index = None
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for event in user.get('events', []):
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if event.get('event') == "grid" and event.get('data').get('index') not in grid_events:
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grid_events[event.get('data').get('index')] = event.get('data')
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if event.get('event') == "play" and not play_index:
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play_index = event.get('data').get('index')
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if len(grid_events) == video_num and play_index:
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break
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prev_grid_list = sorted([v for v in grid_events.values()], key=lambda k:k['index'])
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# if there were no grid events for all, initialize all grids.
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if len(prev_grid_list) < video_num:
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return self.get_recommendations(user)
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else:
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if play_index is None:
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video_indx = list(range(video_num))
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random.shuffle(video_indx)
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else:
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# played index is excluded from the random shuffle and deterministically added to staySame pool.
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video_indx = [*range(play_index)]+[*range(play_index+1,video_num)]
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random.shuffle(video_indx)
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video_indx.append(play_index)
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next_clip_index = video_indx[:nc]
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next_playlist_index = video_indx[nc:nc+np]
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stay_same_index = video_indx[nc+np:]
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rec_list = []
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# select next clip for nextClip pool except when the playlist has only one clip.
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for i in next_clip_index:
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if prev_grid_list[i].get('playlist') is None:
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# add this to deal with the absence of "playlist" data in old grid event.
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# If there's no playlist data recorded, add the nextClip pool to nextPlaylist pool.
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next_playlist_index.append(next_clip_index)
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break
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else:
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# if "playlist" and "playlistPostion" (if not, default to 0) exists in grid event
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for playlist in self.playlists:
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if playlist.get('name')== prev_grid_list[i].get('playlist'):
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if len(playlist["clips"]) == 1:
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next_playlist_index.append(i)
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break
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# Discuss how this behavour should be: should it switch to a new playlist if it is the end of the playlist clip sequence already?
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elif prev_grid_list[i].get('playlistPosition', 0) + 1 == len(playlist['clips']):
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playlist_pos = 0
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else:
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playlist_pos = prev_grid_list[i].get('playlistPosition', 0) + 1
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rec_list.append((i, {
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'clips': playlist['clips'],
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# 'position': random.randrange(len(playlist['clips'])),
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'position': playlist_pos,
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'name': playlist['name'],
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'tags': playlist['tags'],
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}))
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# randomly select playlists (excluding the playlists from the current grid once "playlist" is recorded for grid events)
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# for nextPlaylist pool.
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vids_exclude = [e.get("playlist") for e in prev_grid_list]
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while None in vids_exclude:
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vids_exclude.remove(None)
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video = self.get_recommendations(user, vids_exclude)
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rec_list += [(i, video[i]) for i in next_playlist_index]
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#staySame pool
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rec_list += [(i,{}) for i in stay_same_index]
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rec_list = sorted(rec_list, key=lambda k:k[0])
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return [e[1] for e in rec_list]
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# NOTE for future improvement: vids_exclude element unit could be clip or in/out time pairs, rather than playlist.
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# The same playlist could be played in the grid view as long as these are differenct clips or separate times.
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def get_recommendations(self, user, vids_exclude = []):
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channels = {k: v.get('value', 0) for k, v in self.state['channels'].items()}
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sliders = {k: v.get('value', 0) for k, v in self.state['globalKeywords'].items()}
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gridChange = {k: v.get('value', 0) for k, v in self.state['gridChange'].items()}
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# Exclude playlists from the most recent grid
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playlists = copy.deepcopy(self.playlists)
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if len(vids_exclude) > 0:
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for playlist in playlists:
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if playlist["name"] in vids_exclude:
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playlists.remove(playlist)
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# For each playlist, compute user keyword score
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user_keywords = user.get('keywords', {})
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score = {}
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for playlist in playlists:
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score[playlist['name']] = random.random()
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for tag in [tag for tag in playlist['tags'] if tag in user_keywords]:
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score[playlist['name']] += user_keywords[tag]
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# Select highest scoring playlists
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playlists = sorted(
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playlists,
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key=lambda playlist: -score[playlist['name']]
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)
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videos = playlists[:channels['userKeywords']]
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playlists = playlists[channels['userKeywords']:]
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# For each playlist, compute global keyword score
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score = {}
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for playlist in playlists:
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score[playlist['name']] = random.random()
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for tag in [tag for tag in playlist['tags'] if tag in sliders]:
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score[playlist['name']] += sliders[tag]
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# Select highest scoring playlists
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playlists = sorted(
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playlists,
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key=lambda playlist: -score[playlist['name']]
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)
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videos += playlists[:channels['globalKeywords']]
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playlists = playlists[channels['globalKeywords']:]
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# Count products the user has seen
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count = defaultdict(lambda: 0)
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for event in user.get('events', []):
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if event.get('data', {}).get('product'):
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count[event['data']['product']] += 1
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# For each product in playlist tags, increment score by count
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for playlist in playlists:
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score[playlist['name']] = random.random()
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for tag in set(playlist['tags']) & set(count):
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score[playlist['name']] += count[tag]
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# Select highest scoring playlists
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videos += sorted(
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playlists,
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key=lambda playlist: -score[playlist['name']]
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)[:16 - channels['userKeywords'] - channels['globalKeywords']]
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# Shuffle playlists (randomize layout) and shift clips (randomize start)
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random.shuffle(videos)
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return [{
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'clips': video['clips'],
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'position': random.randrange(len(video['clips'])),
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'name': video['name'],
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'tags': video['tags'],
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} for video in videos]
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def get_next(self, user, position):
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grid_events = {}
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video_num = 16
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for event in user.get('events', []):
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if event.get('event') == "grid" and event.get('data').get('index') not in grid_events:
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grid_events[event.get('data').get('index')] = event.get('data')
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if len(grid_events) == video_num:
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break
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prev_grid_list = sorted([v for v in grid_events.values()], key=lambda k:k['index'])
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vids_exclude = [e.get("playlist") for e in prev_grid_list]
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video = self.get_recommendations(user, vids_exclude)[position]
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return video
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def update_state(self, data):
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for key in data:
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if key in self.state:
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self.state[key].update(data[key])
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else:
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self.state[key] = data[key]
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self.save_state()
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return self.state
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def save_state(self):
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filename = os.path.join(self.path, 'state.json')
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with open(filename, 'w') as f:
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json.dump(self.state, f, indent=4, ensure_ascii=False, sort_keys=True)
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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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'id': entity['id'],
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'name': entity['name'],
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'nodename': entity['nodename'],
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'tags': [t.strip() for t in 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', 'nodename']) if entity.get('tags', []) and entity.get('nodename')]
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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 list of items to use in DD
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items = [item['id'] for item in self.pandora.find({
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'conditions': [
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{'key': 'list', 'operator': '==', 'value': 'dau:DD'}
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]
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}, ['id'])]
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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 and clip['id'].split('/')[0] in items]
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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: int(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']: int(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]], 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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'id': storyline['id'],
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'name': storyline['nodename'].strip(),
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'tags': storyline['tags'],
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'clips': [{
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'item': clip['id'].split('/')[0],
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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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self.update_keywords()
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def update_keywords(self):
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changed = False
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if 'globalKeywords' not in self.state:
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self.state['globalKeywords'] = {}
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changed = True
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existing_tags = set()
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for playlist in self.playlists:
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for tag in playlist.get('tags', []):
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if not tag.isupper() and tag:
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existing_tags.add(tag)
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if not tag.isupper() and tag not in self.state['globalKeywords']:
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self.state['globalKeywords'][tag] = {'value': 0}
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changed = True
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for tag in set(self.state['globalKeywords']) - existing_tags:
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del self.state['globalKeywords'][tag]
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changed = True
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if changed:
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self.save_state()
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@run_async
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def update_async(self):
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self.update()
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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(self, query, keys):
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# print('FIND', query, keys)
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return self.api.find({
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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_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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