team-1/backend/src/room.py

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import random
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from dataclasses import dataclass
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from .song import Song
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USER_SCORE_WEIGHT = 0.7
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ARTIST_WEIGHT = 0.1
TAG_WEIGHT = 0.1
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RANDOM_WEIGHT = 0.1
RECENT_PENALTY = 0.5
RECENT_COUNT = 10
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QUEUE_SIZE = 3
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type UserScoredSong = tuple[Song, int]
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@dataclass
class Rank:
user_score: float
tag: float
artist: float
random: float
recent_penalty: float
def total(self) -> float:
return self.user_score + self.tag + self.artist + self.random - self.recent_penalty
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@dataclass
class Room:
id: int
coord: tuple[float, float]
name: str
pin: int | None
tags: set[str]
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range_size: int # in meters ??
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songs: dict[str, UserScoredSong] # all songs + user score (the playlist)
history: list[Song] # all songs previously played
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## playing queue info
playing: list[Song]
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playing_idx: int
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def renew_queue(self):
for song in self.playing:
self.history.append(song)
self.playing.clear()
self.playing_idx = 0
rankings: dict[str, float] = {}
for id, (song, user_score) in self.songs.items():
rankings[id] = self.rank_song(song, user_score).total()
# sort dict items by their values and pick the highest 3
top_items = sorted(rankings.items(), key=lambda item: item[1], reverse=True)[:QUEUE_SIZE] # [:3]
self.playing = list(map(lambda x: self.songs[x[0]][0], top_items)) # remove the ranking and take only the songs
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def rank_song_from_id(self, id: str) -> Rank:
scored = self.songs[id]
return self.rank_song(scored[0], scored[1])
def rank_song(self, song: Song, user_score: int) -> Rank:
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song_items = self.songs.items()
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lowest_score = min(song_items, key=lambda item: item[1][1])[1][1]
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highest_score = max(song_items, key=lambda item: item[1][1])[1][1]
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score_rank = translate(user_score, lowest_score, highest_score, 0.0, USER_SCORE_WEIGHT)
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recent_songs = self.history[-RECENT_COUNT:]
tag_counts = {}
artist_counts = {}
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for recent_song in recent_songs:
for tag in recent_song.tags:
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if tag not in tag_counts:
tag_counts[tag] = 0
tag_counts[tag] += 1
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if recent_song.artist not in artist_counts:
artist_counts[recent_song.artist] = 0
artist_counts[recent_song.artist] += 1
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tag_total = 0
for tag in song.tags:
if tag in tag_counts:
tag_total += tag_counts[tag]
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artist_total = artist_counts[song.artist] if song.artist in artist_counts else 0
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tag_value = min(RECENT_COUNT, len(self.history)) - tag_total
artist_value = min(RECENT_COUNT, len(self.history)) - artist_total
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tag_rank = translate(tag_value, 0, min(RECENT_COUNT, len(self.history)), 0, TAG_WEIGHT)
artist_rank = translate(artist_value, 0, min(RECENT_COUNT, len(self.history)), 0, ARTIST_WEIGHT)
random_rank = translate(random.random(), 0, 1, 0.0, RANDOM_WEIGHT)
recent_penalty = RECENT_PENALTY if song in recent_songs else 0
return Rank(score_rank, tag_rank, artist_rank, random_rank, recent_penalty)
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def translate(value: float, in_min: float, in_max: float, out_min: float, out_max: float):
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if in_max == in_min:
return out_min
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return (value - in_min) / (in_max - in_min) * (out_max - out_min) + out_min
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def test_algo():
songs = [
Song("paulham", "Io e i miei banchi", "Paul Ham", ["pop"], "", ""),
Song("cisco", "CiscoPT", "Cantarex", ["rap"], "", ""),
Song("vpn", "VPN", "Cantarex", ["rap"], "", ""),
Song("gang", "Gang Gang Gang", "Cantarex", ["rap"], "", ""),
Song("bertha1", "Rindondantha", "Berthanetti", ["rock"], "", ""),
Song("bertha2", "Ragatthi", "Berthanetti", ["rock"], "", ""),
Song("bertha3", "Tranthathione", "Berthanetti", ["rock"], "", ""),
Song("cexx", "Spritz", "Cex", ["kpop"], "", ""),
]
room = Room(
123,
(0.0, 0.0),
"test",
None,
set(["rock", "rap"]),
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100,
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{
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"paulham": (songs[0], 7),
"cisco": (songs[1], 5),
"vpn": (songs[2], 11),
"gang": (songs[3], 10),
"bertha1": (songs[4], 4),
"bertha2": (songs[5], 5),
"bertha3": (songs[6], -4),
"cexx": (songs[7], 12),
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},
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[],
[songs[2], songs[0], songs[1]],
1,
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)
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room.renew_queue()
print(room.playing)