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https://github.com/krateng/maloja.git
synced 2023-08-10 21:12:55 +03:00
Reorganized sql module, implemented artist charts
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44a124e6ec
commit
8a96a2c144
@ -139,9 +139,11 @@ def get_artists():
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return sqldb.get_artists()
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@waitfordb
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def get_charts_artists(**keys):
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return db_aggregate(by="ARTIST",**{k:keys[k] for k in keys if k in ["since","to","within","timerange"]})
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(since,to) = keys.get('timerange').timestamps()
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result = sqldb.count_scrobbles_by_artist(since=since,to=to)
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return result
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def get_charts_tracks(**keys):
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@ -83,20 +83,7 @@ meta.create_all(engine)
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### DB -> DICT
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#def scrobble_db_to_dict(row,resolve_references=True):
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# return {
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# "time":row.timestamp,
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# "track":get_track(row.track_id) if resolve_references else row.track_id,
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# "duration":row.duration,
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# "origin":row.origin
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# }
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def scrobbles_db_to_dict(rows):
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#track_ids = set(row.track_id for row in rows)
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#tracks = {
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# track_id:get_track(track_id) for track_id in track_ids
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#}
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tracks = get_tracks_map(set(row.track_id for row in rows))
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return [
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{
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@ -107,13 +94,9 @@ def scrobbles_db_to_dict(rows):
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}
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for row in rows
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]
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def scrobble_db_to_dict(row):
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return scrobbles_db_to_dict([row])[0]
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#def track_db_to_dict(row):
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# return {
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# "artists":get_artists_of_track(row.id),
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# "title":row.title,
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# "length":row.length
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# }
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def tracks_db_to_dict(rows):
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artists = get_artists_of_tracks(set(row.id for row in rows))
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@ -125,20 +108,23 @@ def tracks_db_to_dict(rows):
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}
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for row in rows
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]
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def track_db_to_dict(row):
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return tracks_db_to_dict([row])[0]
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def artist_db_to_dict(row):
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return row.name
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def artists_db_to_dict(rows):
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return [
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row.name
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for row in rows
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]
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def artist_db_to_dict(row):
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return artists_db_to_dict([row])[0]
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### DICT -> DB
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# TODO
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def scrobble_dict_to_db(info):
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return {
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"rawscrobble":json.dumps(info),
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@ -337,38 +323,6 @@ def get_artists_of_track(track_id,resolve_references=True):
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artists = [get_artist(row.artist_id) if resolve_references else row.artist_id for row in result]
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return artists
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def get_artists_of_tracks(track_ids):
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with engine.begin() as conn:
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op = sql.join(DB['trackartists'],DB['artists']).select().where(
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DB['trackartists'].c.track_id.in_(track_ids)
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)
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result = conn.execute(op).all()
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artists = {}
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for row in result:
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artists.setdefault(row.track_id,[]).append(artist_db_to_dict(row))
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return artists
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def get_tracks_map(track_ids):
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with engine.begin() as conn:
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op = DB['tracks'].select().where(
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DB['tracks'].c.id.in_(track_ids)
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)
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result = conn.execute(op).all()
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tracks = {}
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trackids = [row.id for row in result]
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trackdicts = tracks_db_to_dict(result)
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for i in range(len(trackids)):
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tracks[trackids[i]] = trackdicts[i]
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return tracks
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def get_tracks():
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with engine.begin() as conn:
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op = DB['tracks'].select()
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result = conn.execute(op).all()
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return tracks_db_to_dict(result)
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def get_tracks_of_artist(artist):
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@ -389,6 +343,84 @@ def get_artists():
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return artists_db_to_dict(result)
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def get_tracks():
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with engine.begin() as conn:
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op = DB['tracks'].select()
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result = conn.execute(op).all()
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return tracks_db_to_dict(result)
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### functions that count rows for parameters
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def count_scrobbles_by_artist(since,to):
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jointable = sql.join(DB['scrobbles'],DB['trackartists'],DB['scrobbles'].c.track_id == DB['trackartists'].c.track_id)
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with engine.begin() as conn:
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op = sql.select(
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sql.func.count(DB['scrobbles'].c.timestamp).label('count'),
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DB['trackartists'].c.artist_id
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).select_from(jointable).where(
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DB['scrobbles'].c.timestamp<=to,
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DB['scrobbles'].c.timestamp>=since
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).group_by(DB['trackartists'].c.artist_id).order_by(sql.desc('count'))
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result = conn.execute(op).all()
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counts = [row.count for row in result]
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artists = get_artists_map(row.artist_id for row in result)
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result = [{'scrobbles':row.count,'artist':artists[row.artist_id]} for row in result]
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print(result)
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return rank(result,key='scrobbles')
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### functions that get mappings for several entities -> rows
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def get_artists_of_tracks(track_ids):
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with engine.begin() as conn:
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op = sql.join(DB['trackartists'],DB['artists']).select().where(
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DB['trackartists'].c.track_id.in_(track_ids)
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)
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result = conn.execute(op).all()
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artists = {}
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for row in result:
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artists.setdefault(row.track_id,[]).append(artist_db_to_dict(row))
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return artists
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def get_tracks_map(track_ids):
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with engine.begin() as conn:
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op = DB['tracks'].select().where(
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DB['tracks'].c.id.in_(track_ids)
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)
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result = conn.execute(op).all()
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tracks = {}
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trackids = [row.id for row in result]
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trackdicts = tracks_db_to_dict(result)
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for i in range(len(trackids)):
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tracks[trackids[i]] = trackdicts[i]
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return tracks
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def get_artists_map(artist_ids):
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with engine.begin() as conn:
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op = DB['artists'].select().where(
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DB['artists'].c.id.in_(artist_ids)
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)
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result = conn.execute(op).all()
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artists = {}
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artistids = [row.id for row in result]
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artistdicts = artists_db_to_dict(result)
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for i in range(len(artistids)):
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artists[artistids[i]] = artistdicts[i]
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return artists
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### get a specific entity by id
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@ -401,10 +433,7 @@ def get_track(id):
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result = conn.execute(op).all()
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trackinfo = result[0]
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result = track_db_to_dict(trackinfo)
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return result
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return track_db_to_dict(trackinfo)
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def get_artist(id):
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@ -420,6 +449,13 @@ def get_artist(id):
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##### AUX FUNCS
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# function to turn the name into a representation that can be easily compared, ignoring minor differences
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remove_symbols = ["'","`","’"]
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replace_with_space = [" - ",": "]
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@ -433,3 +469,11 @@ def normalize_name(name):
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def now():
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return int(datetime.now().timestamp())
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def rank(ls,key):
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for rnk in range(len(ls)):
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if rnk == 0 or ls[rnk][key] < ls[rnk-1][key]:
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ls[rnk]["rank"] = rnk + 1
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else:
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ls[rnk]["rank"] = ls[rnk-1]["rank"]
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return ls
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