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mirror of https://github.com/krateng/maloja.git synced 2023-08-10 21:12:55 +03:00

Reorganized sql module, implemented artist charts

This commit is contained in:
krateng 2022-01-06 20:07:55 +01:00
parent 44a124e6ec
commit 8a96a2c144
2 changed files with 107 additions and 61 deletions

View File

@ -139,9 +139,11 @@ def get_artists():
return sqldb.get_artists() return sqldb.get_artists()
@waitfordb
def get_charts_artists(**keys): def get_charts_artists(**keys):
return db_aggregate(by="ARTIST",**{k:keys[k] for k in keys if k in ["since","to","within","timerange"]}) (since,to) = keys.get('timerange').timestamps()
result = sqldb.count_scrobbles_by_artist(since=since,to=to)
return result
def get_charts_tracks(**keys): def get_charts_tracks(**keys):

View File

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