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implemented issue 1 - vanila version that works without user event data for playlist, clip position, clip index. To be updated as the data is updated

This commit is contained in:
pythagoraswitch 2018-07-25 13:12:36 +02:00
parent 2eae1aa2a7
commit 29f892cafa
1 changed files with 88 additions and 10 deletions
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98
recommendation_engine.py
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@ -15,6 +15,7 @@ import ox
from utils import run_async
logger = logging.getLogger(__name__)
verbose = True
class Engine:
@ -83,24 +84,94 @@ class Engine:
clips[inpoint['index']]['out'] = self.pandora.get(video_id, ['duration'])['duration']
return clips
### TASK 1 ###
# Change this to (1) check if there's no grid event and if so: initialize, and
# (2) if not: add serendipity to the current grid mix using gridChange variables.
def get_videos(self, user):
channels = {k: v.get('value', 0) for k, v in self.state['channels'].items()}
sliders = {k: v.get('value', 0) for k, v in self.state['globalKeywords'].items()}
grid_change = {k: v.get('value', 0) for k, v in self.state['gridChange'].items()}
# check if there were grid events for all indexes.
grid_events = {}
(nc, np, ns) = (grid_change.get("nextClip"), grid_change.get("nextPlaylist"), grid_change.get("staySame"))
# this assumes np + nc + ns = total number of videos in the grid view (16).
# Make sure sanity check exists in front-end (error if it does not add up to 16).
video_num = nc + np + ns
for event in user.get('events', []):
if event.get('event') == "grid" and event.get('data').get('index') not in grid_events:
grid_events[event.get('data').get('index')] = event.get('data')
if len(grid_events) == video_num:
break
prev_grid_list = sorted([v for v in grid_events.values()], key=lambda k:k['index'])
# if there were no grid events for all, initialize all grids.
if len(prev_grid_list) < video_num:
return self.get_recommendations(user)
else:
# Once the "index" is added to play event data, played index will be excluded from the random shuffle
# and deterministically added to staySame pool.
# video_indx = [*range(playIndex)]+[*range(playIndex+1,video_num)]
video_indx = list(range(video_num))
random.shuffle(video_indx)
rec_list = []
# For now, randomly choose a clip in the same playlist instead of switching to the next clip.
# This will be changed once the clip position is tracked in the user data.
for i in video_indx[:nc]:
if prev_grid_list[i].get('playlist') is None:
# add this to deal with the absence of "playlist" data in a grid event temporarily.
# If there's no playlist data recorded, add the nextClip pool to nextPlaylist pool for now.
np += nc
nc = 0
break
else:
# if "playlist" data exists in grid event (it should be in the future)
for playlist in playlists:
if playlist.get('name')== prev_grid_list[i].get('playlist'):
rec_list.append((i, {
'clips': playlist['clips'],
'position': random.randrange(len(playlist['clips'])),
'name': playlist['name'],
'tags': playlist['tags'],
}))
# randomly select playlists (excluding the playlists from the current grid once "playlist" is recorded for grid events)
# for nextPlaylist pool
vids_exclude = []
# vids_exclude = [e.get("playlist") for e in prev_grid_list]
video = self.get_recommendations(user, vids_exclude)
rec_list += [(i, video[i]) for i in video_indx[nc:nc+np]]
#staySame pool
rec_list += [(i,{}) for i in video_indx[nc+np:]]
rec_list = sorted(rec_list, key=lambda k:k[0])
return [e[1] for e in rec_list]
# NOTE for future improvement: vids_exclude element unit could be clip or in/out time pairs, rather than playlist.
# The same playlist could be played in the grid view as long as these are differenct clips or separate times.
def get_recommendations(self, user, vids_exclude = []):
channels = {k: v.get('value', 0) for k, v in self.state['channels'].items()}
sliders = {k: v.get('value', 0) for k, v in self.state['globalKeywords'].items()}
gridChange = {k: v.get('value', 0) for k, v in self.state['gridChange'].items()}
# Exclude playlists from the most recent grid
playlists = self.playlists
if len(vids_exclude) > 0:
for playlist in playlists:
if playlist["name"] in vids_exclude:
playlists.remove(playlist)
# For each playlist, compute user keyword score
user_keywords = user.get('keywords', {})
score = {}
for playlist in self.playlists:
for playlist in playlists:
score[playlist['name']] = random.random()
for tag in [tag for tag in playlist['tags'] if tag in user_keywords]:
score[playlist['name']] += user_keywords[tag]
# Select highest scoring playlists
playlists = sorted(
self.playlists,
playlists,
key=lambda playlist: -score[playlist['name']]
)
videos = playlists[:channels['userKeywords']]
@ -143,11 +214,18 @@ class Engine:
} for video in videos]
### TASK 2 ###
# Change this to make sure the next playlist is not the current playlist
# AND not the playlists displayed in the current grid. Incorporate the change from Task 1.
def get_next(self, user, position):
video = self.get_videos(user)[position]
grid_events = {}
video_num = 16
for event in user.get('events', []):
if event.get('event') == "grid" and event.get('data').get('index') not in grid_events:
grid_events[event.get('data').get('index')] = event.get('data')
if len(grid_events) == video_num:
break
prev_grid_list = sorted([v for v in grid_events.values()], key=lambda k:k['index'])
vids_exclude = [e.get("playlist") for e in prev_grid_list]
video = self.get_recommendations(user, vids_exclude)[position]
return video
def update_state(self, data):