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https://github.com/Floriansylvain/Risitas_BOT.git
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63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
import matplotlib.pyplot as plt
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from osuapi import OsuApi, ReqConnector
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from private import TOKEN_OSU
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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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res = results[0]
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return [res.user_id, res.ranked_score, res.accuracy, res.playcount,
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res.total_score, (res.count300 + res.count100 + res.count50),
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res.total_seconds_played, res.level, res.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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lsg = last_game[0]
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lsm = api.get_beatmaps(beatmap_id=lsg.beatmap_id)[0]
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return [lsm.beatmapset_id, lsm.title, lsm.creator,
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lsm.bpm, lsm.difficultyrating, lsm.diff_size, lsm.diff_overall,
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lsm.diff_approach, lsm.diff_drain, lsg.score,
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lsg.maxcombo, lsg.rank, lsg.count300, lsg.count100,
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lsg.count50, lsg.countmiss, lsg.countkatu, lsg.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) +
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(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, 6))
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plt.rc('axes', labelsize=18)
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plt.plot(list(range(1, nb_games)), lst, color='#ffbf00')
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plt.scatter(list(range(1, nb_games)), lst, color='#ffca2b')
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plt.axis([1, nb_games-1, min_games, 100])
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plt.xticks(range(1, nb_games))
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plt.yticks(range(min_games, 100, 3))
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plt.grid(linewidth=0.5)
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plt.title('Accuracy of ' + username + ' on his last ' +
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str(nb_games-1) + ' games.', fontsize=20)
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plt.ylabel('Accuracy (%)')
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plt.xlabel('Games (from recent to oldest)')
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plt.gca().set_facecolor('#36393f')
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plt.savefig('acc.jpeg', facecolor='#ffd1f1')
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return 1
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