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https://github.com/Floriansylvain/Risitas_BOT.git
synced 2026-08-19 11:43:16 +02:00
55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
from osuapi import OsuApi, ReqConnector
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from private import TOKEN_OSU
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import matplotlib.pyplot as plt
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api = OsuApi(TOKEN_OSU, connector=ReqConnector())
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async def ask_osu_profile(username):
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results = api.get_user(username)
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if not results:
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return 1
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r = results[0]
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return [r.user_id, r.ranked_score, r.accuracy, r.playcount,
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r.total_score, (r.count300 + r.count100 + r.count50),
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r.total_seconds_played, r.level, r.pp_rank]
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async def ask_osu_last_game(username):
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last_game = api.get_user_recent(username)
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if not last_game:
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return 1
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lg = last_game[0]
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lm = api.get_beatmaps(beatmap_id=lg.beatmap_id)[0]
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return [lm.beatmapset_id, lm.title, lm.creator,
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lm.bpm, lm.difficultyrating, lm.diff_size, lm.diff_overall,
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lm.diff_approach, lm.diff_drain, lg.score,
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lg.maxcombo, lg.rank, lg.count300, lg.count100,
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lg.count50, lg.countmiss, lg.countkatu, lg.countgeki]
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async def ask_osu_acc(username):
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last_game = api.get_user_recent(username)
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if not last_game:
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return 0
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lst = []
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for game in last_game:
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total = game.count300 + game.count100 + game.count50 + game.countmiss
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lst.append((float("%.2f" %(((game.count300 * 300) + (game.count100 * 100) + (game.count50 * 50)) / (total * 300) * 100))))
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nb_games = len(lst)+1
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min_games = int(min(lst))
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plt.figure(figsize=(9, 5))
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plt.plot(list(range(1, nb_games)), lst)
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plt.scatter(list(range(1, nb_games)), lst, color='red')
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plt.axis([1, nb_games-1, min_games, 100])
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plt.title('Accuracy of ' + username + ' on his last ' + str(nb_games-1) + ' games.')
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plt.xticks(range(1, nb_games))
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plt.yticks(range(min_games, 100, 5))
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plt.grid(linewidth=0.5)
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plt.ylabel('Accuracy (%)')
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plt.xlabel('Games (from recent to oldest)')
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plt.savefig('acc.jpeg')
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return 1
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