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Implemented track charts

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This commit is contained in:
krateng 2022-01-07 04:07:10 +01:00
parent 11bebce807
commit f68fe04760
2 changed files with 29 additions and 6 deletions
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8
maloja/database/__init__.py
View File

@ -120,7 +120,7 @@ def get_scrobbles(**keys):
else:
result = sqldb.get_scrobbles(since=since,to=to)
#return result[keys['page']*keys['perpage']:(keys['page']+1)*keys['perpage']]
return result
return list(reversed(result))
@waitfordb
def get_scrobbles_num(**keys):
@ -145,9 +145,11 @@ def get_charts_artists(**keys):
result = sqldb.count_scrobbles_by_artist(since=since,to=to)
return result
@waitfordb
def get_charts_tracks(**keys):
return db_aggregate(by="TRACK",**{k:keys[k] for k in keys if k in ["since","to","within","timerange","artist"]})
(since,to) = keys.get('timerange').timestamps()
result = sqldb.count_scrobbles_by_track(since=since,to=to)
return result
def get_pulse(**keys):

27
maloja/database/sqldb.py
View File

@ -274,7 +274,7 @@ def get_scrobbles_of_artist(artist,since=None,to=None):
DB['scrobbles'].c.timestamp<=to,
DB['scrobbles'].c.timestamp>=since,
DB['trackartists'].c.artist_id==artist_id
).order_by(sql.desc('timestamp'))
).order_by(sql.asc('timestamp'))
result = conn.execute(op).all()
result = scrobbles_db_to_dict(result)
@ -294,7 +294,7 @@ def get_scrobbles_of_track(track,since=None,to=None):
DB['scrobbles'].c.timestamp<=to,
DB['scrobbles'].c.timestamp>=since,
DB['scrobbles'].c.track_id==track_id
).order_by(sql.desc('timestamp'))
).order_by(sql.asc('timestamp'))
result = conn.execute(op).all()
result = scrobbles_db_to_dict(result)
@ -311,7 +311,7 @@ def get_scrobbles(since=None,to=None,resolve_references=True,max=math.inf):
op = DB['scrobbles'].select().where(
DB['scrobbles'].c.timestamp<=to,
DB['scrobbles'].c.timestamp>=since,
).order_by(sql.desc('timestamp'))
).order_by(sql.asc('timestamp'))
result = conn.execute(op).all()
result = scrobbles_db_to_dict(result)
@ -393,6 +393,27 @@ def count_scrobbles_by_artist(since,to):
return result
def count_scrobbles_by_track(since,to):
print(since,to)
with engine.begin() as conn:
op = sql.select(
sql.func.count(sql.func.distinct(DB['scrobbles'].c.timestamp)).label('count'),
DB['scrobbles'].c.track_id
).select_from(DB['scrobbles']).where(
DB['scrobbles'].c.timestamp<=to,
DB['scrobbles'].c.timestamp>=since
).group_by(DB['scrobbles'].c.track_id).order_by(sql.desc('count'))
result = conn.execute(op).all()
counts = [row.count for row in result]
tracks = get_tracks_map(row.track_id for row in result)
result = [{'scrobbles':row.count,'track':tracks[row.track_id]} for row in result]
result = rank(result,key='scrobbles')
return result
### functions that get mappings for several entities -> rows