mirror of
https://github.com/A-Minos/nonebot-plugin-tetris-stats.git
synced 2026-03-05 05:36:54 +08:00
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
from collections.abc import Callable
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from datetime import timedelta
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from typing import TypeVar, overload
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from zoneinfo import ZoneInfo
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from ....utils.exception import FallbackError
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from ....utils.render.schemas.tetrio.user.base import TetraLeagueHistoryData
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from ..api.schemas.labs.leagueflow import LeagueFlowSuccess
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from ..api.schemas.summaries.league import LeagueSuccessModel, NeverPlayedData, NeverRatedData, RatedData
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def flow_to_history(
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leagueflow: LeagueFlowSuccess,
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handle: Callable[[list[TetraLeagueHistoryData]], list[TetraLeagueHistoryData]] | None = None,
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) -> list[TetraLeagueHistoryData]:
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start_time = leagueflow.data.start_time.astimezone(ZoneInfo('Asia/Shanghai'))
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ret = [
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TetraLeagueHistoryData(
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record_at=start_time + timedelta(milliseconds=i.timestamp_offset),
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tr=i.post_match_tr,
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)
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for i in leagueflow.data.points
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if start_time + timedelta(milliseconds=i.timestamp_offset)
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]
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return ret if handle is None else handle(ret)
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N = TypeVar('N', int, float)
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def handling_special_value(value: N) -> N | None:
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return value if value != -1 else None
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L = TypeVar('L', NeverPlayedData, NeverRatedData, RatedData)
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@overload
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def get_league_data(user_info: LeagueSuccessModel, league_type: type[L]) -> L: ...
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@overload
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def get_league_data(
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user_info: LeagueSuccessModel, league_type: None = None
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) -> NeverPlayedData | NeverRatedData | RatedData: ...
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def get_league_data(
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user_info: LeagueSuccessModel, league_type: type[L] | None = None
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) -> L | NeverPlayedData | NeverRatedData | RatedData:
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league = user_info.data
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if league_type is None:
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return league
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if isinstance(league, league_type):
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return league
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raise FallbackError
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