🔖 1.4.9

Bumps [ruff](https://github.com/astral-sh/ruff) from 0.5.7 to 0.6.0.
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/ruff/compare/0.5.7...0.6.0)

---
updated-dependencies:
- dependency-name: ruff
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

.pre-commit-config.yaml

@@ -2,12 +2,12 @@ default_install_hook_types: [pre-commit, prepare-commit-msg]
 ci:
     autofix_commit_msg: ':rotating_light: auto fix by pre-commit hooks'
     autofix_prs: true
-    autoupdate_branch: master
-    autoupdate_schedule: monthly
+    autoupdate_branch: main
+    autoupdate_schedule: weekly
     autoupdate_commit_msg: ':arrow_up: auto update by pre-commit hooks'
 repos:
     - repo: https://github.com/astral-sh/ruff-pre-commit
-      rev: v0.4.10
+      rev: v0.5.7
       hooks:
           - id: ruff
             args: [--fix, --exit-non-zero-on-fix]

nonebot_plugin_tetris_stats/config/config.py

@@ -1,13 +1,14 @@
-from pathlib import Path
+from nonebot_plugin_localstore import get_cache_dir, get_data_dir
+from pydantic import BaseModel, Field
 
-from nonebot_plugin_localstore import get_cache_dir
-from pydantic import BaseModel
+CACHE_PATH = get_cache_dir('nonebot_plugin_tetris_stats')
+DATA_PATH = get_data_dir('nonebot_plugin_tetris_stats')
 
-CACHE_PATH: Path = get_cache_dir('nonebot_plugin_tetris_stats')
+
+class ScopedConfig(BaseModel):
+    request_timeout: float = 30.0
+    screenshot_quality: float = 2
 
 
 class Config(BaseModel):
-    """配置类"""
-
-    tetris_req_timeout: float = 30.0
-    tetris_screenshot_quality: float = 2
+    tetris: ScopedConfig = Field(default_factory=ScopedConfig)

nonebot_plugin_tetris_stats/config/migrations/cfeab6961dce_extend_api_type_field_length.py

@@ -0,0 +1,50 @@
+"""Extend api_type field length
+
+迁移 ID: cfeab6961dce
+父迁移: f5b4a6d1325b
+创建时间: 2024-08-09 14:20:59.789030
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+from nonebot.log import logger
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'cfeab6961dce'
+down_revision: str | Sequence[str] | None = 'f5b4a6d1325b'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.alter_column(
+            'api_type', existing_type=sa.VARCHAR(length=16), type_=sa.String(length=32), existing_nullable=False
+        )
+
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    logger.warning('新数据可能不支持降级!')
+    logger.warning('请确认数据库内数据可以迁移到旧版本!')
+    input('如果确认可以迁移, 请按回车键继续!')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.alter_column(
+            'api_type', existing_type=sa.String(length=32), type_=sa.VARCHAR(length=16), existing_nullable=False
+        )
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/db/__init__.py

@@ -68,11 +68,11 @@ T = TypeVar('T', 'TETRIOHistoricalData', 'TOPHistoricalData', 'TOSHistoricalData
 lock = Lock()
 
 
-async def anti_duplicate_add(cls: type[T], model: T) -> None:
+async def anti_duplicate_add(model: T) -> None:
     async with lock, get_session() as session:
         result = (
             await session.scalars(
-                select(cls)
+                select(cls := model.__class__)
                 .where(cls.update_time == model.update_time)
                 .where(cls.user_unique_identifier == model.user_unique_identifier)
                 .where(cls.api_type == model.api_type)

nonebot_plugin_tetris_stats/games/constant.py

@@ -1,3 +1 @@
-BIND_COMMAND: list[str] = ['绑定', 'bind']
-QUERY_COMMAND: list[str] = ['查', '查询', 'query', 'stats']
 CANT_VERIFY_MESSAGE = '* 由于无法验证绑定信息, 不能保证查询到的用户为本人\n'

nonebot_plugin_tetris_stats/games/schemas.py

@@ -1,20 +1,21 @@
 from abc import ABC, abstractmethod
+from typing import Generic, TypeVar
 
 from pydantic import BaseModel
 
 from ..utils.typing import GameType
 
-
-class Base(BaseModel):
-    platform: GameType
+T = TypeVar('T', bound=GameType)
 
 
-class BaseUser(ABC, Base):
+class BaseUser(BaseModel, ABC, Generic[T]):
     """游戏用户"""
 
-    def __eq__(self, __value: object) -> bool:
-        if isinstance(__value, BaseUser):
-            return self.unique_identifier == __value.unique_identifier
+    platform: T
+
+    def __eq__(self, other: object) -> bool:
+        if isinstance(other, BaseUser):
+            return self.unique_identifier == other.unique_identifier
         return False
 
     @property

nonebot_plugin_tetris_stats/games/tetrio/api/__init__.py

@@ -1,7 +1,6 @@
 from .player import Player
 from .schemas.user import User
 from .schemas.user_info import UserInfoSuccess
-from .schemas.user_records import UserRecordsSuccess
 from .tetra_league import full_export as tetra_league_full_export
 
-__all__ = ['Player', 'User', 'UserInfoSuccess', 'UserRecordsSuccess', 'tetra_league_full_export']
+__all__ = ['Player', 'User', 'UserInfoSuccess', 'tetra_league_full_export']

nonebot_plugin_tetris_stats/games/tetrio/api/models.py

@@ -7,12 +7,12 @@ from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
 
 from ....db.models import PydanticType
 from .schemas.base import SuccessModel
-from .typing import Summaries
+from .typing import Records, Summaries
 
 
 class TETRIOHistoricalData(MappedAsDataclass, Model):
     id: Mapped[int] = mapped_column(init=False, primary_key=True)
     user_unique_identifier: Mapped[str] = mapped_column(String(24), index=True)
-    api_type: Mapped[Literal['User Info', Summaries]] = mapped_column(String(16), index=True)
+    api_type: Mapped[Literal['User Info', Records, Summaries]] = mapped_column(String(32), index=True)
     data: Mapped[SuccessModel] = mapped_column(PydanticType(get_model=[SuccessModel.__subclasses__], models=set()))
     update_time: Mapped[datetime] = mapped_column(DateTime, index=True)

nonebot_plugin_tetris_stats/games/tetrio/api/player.py

@@ -1,5 +1,6 @@
+from enum import Enum
 from types import MappingProxyType
-from typing import Literal, overload
+from typing import Literal, NamedTuple, cast, overload
 
 from async_lru import alru_cache
 from nonebot.compat import type_validate_json
@@ -11,26 +12,51 @@ from ..constant import BASE_URL, USER_ID, USER_NAME
 from .cache import Cache
 from .models import TETRIOHistoricalData
 from .schemas.base import FailedModel
+from .schemas.records.solo import Solo as SoloRecord
+from .schemas.records.solo import SoloSuccessModel as RecordsSoloSuccessModel
 from .schemas.summaries import (
     AchievementsSuccessModel,
-    SoloSuccessModel,
     SummariesModel,
     ZenithSuccessModel,
     ZenSuccessModel,
 )
+from .schemas.summaries import (
+    SoloSuccessModel as SummariesSoloSuccessModel,
+)
 from .schemas.summaries.base import User as SummariesUser
+from .schemas.summaries.league import LeagueSuccessModel
 from .schemas.user import User
 from .schemas.user_info import UserInfo, UserInfoSuccess
-from .typing import Summaries
+from .typing import Records, Summaries
+
+
+class RecordModeType(str, Enum):
+    Sprint = '40l'
+    Blitz = 'blitz'
+
+
+class RecordType(str, Enum):
+    Top = 'top'
+    Recent = 'recent'
+    Progression = 'progression'
+
+
+class RecordKey(NamedTuple):
+    mode_type: RecordModeType
+    record_type: RecordType
+
+    def to_records(self) -> Records:
+        return cast(Records, f'{self.mode_type.value}_{self.record_type.value}')
 
 
 class Player:
     __SUMMARIES_MAPPING: MappingProxyType[Summaries, type[SummariesModel]] = MappingProxyType(
         {
-            '40l': SoloSuccessModel,
-            'blitz': SoloSuccessModel,
+            '40l': SummariesSoloSuccessModel,
+            'blitz': SummariesSoloSuccessModel,
             'zenith': ZenithSuccessModel,
             'zenithex': ZenithSuccessModel,
+            'league': LeagueSuccessModel,
             'zen': ZenSuccessModel,
             'achievements': AchievementsSuccessModel,
         }
@@ -58,6 +84,7 @@ class Player:
         self.__user: User | None = None
         self._user_info: UserInfoSuccess | None = None
         self._summaries: dict[Summaries, SummariesModel] = {}
+        self._records: dict[RecordKey, RecordsSoloSuccessModel] = {}
 
     @property
     def _request_user_parameter(self) -> str:
@@ -97,7 +124,6 @@ class Player:
                 raise RequestError(msg)
             self._user_info = user_info
             await anti_duplicate_add(
-                TETRIOHistoricalData,
                 TETRIOHistoricalData(
                     user_unique_identifier=(await self.user).unique_identifier,
                     api_type='User Info',
@@ -108,12 +134,14 @@ class Player:
         return self._user_info
 
     @overload
-    async def get_summaries(self, summaries_type: Literal['40l', 'blitz']) -> SoloSuccessModel: ...
+    async def get_summaries(self, summaries_type: Literal['40l', 'blitz']) -> SummariesSoloSuccessModel: ...
     @overload
     async def get_summaries(self, summaries_type: Literal['zenith', 'zenithex']) -> ZenithSuccessModel: ...
     @overload
     async def get_summaries(self, summaries_type: Literal['zen']) -> ZenSuccessModel: ...
     @overload
+    async def get_summaries(self, summaries_type: Literal['league']) -> LeagueSuccessModel: ...
+    @overload
     async def get_summaries(self, summaries_type: Literal['achievements']) -> AchievementsSuccessModel: ...
 
     async def get_summaries(self, summaries_type: Summaries) -> SummariesModel:
@@ -130,7 +158,6 @@ class Player:
                 raise RequestError(msg)
             self._summaries[summaries_type] = summaries
             await anti_duplicate_add(
-                TETRIOHistoricalData,
                 TETRIOHistoricalData(
                     user_unique_identifier=(await self.user).unique_identifier,
                     api_type=summaries_type,
@@ -141,20 +168,21 @@ class Player:
         return self._summaries[summaries_type]
 
     @property
-    @alru_cache
-    async def sprint(self) -> SoloSuccessModel:
+    async def sprint(self) -> SummariesSoloSuccessModel:
         return await self.get_summaries('40l')
 
     @property
-    @alru_cache
-    async def blitz(self) -> SoloSuccessModel:
+    async def blitz(self) -> SummariesSoloSuccessModel:
         return await self.get_summaries('blitz')
 
     @property
-    @alru_cache
     async def zen(self) -> ZenSuccessModel:
         return await self.get_summaries('zen')
 
+    @property
+    async def league(self) -> LeagueSuccessModel:
+        return await self.get_summaries('league')
+
     async def _get_local_summaries_user(self) -> SummariesUser | None:
         allow_summaries: set[Literal['40l', 'blitz', 'zenith', 'zenithex']] = {
             '40l',
@@ -185,3 +213,32 @@ class Player:
         if (user := (await self._get_local_summaries_user())) is not None:
             return user.banner_revision
         return (await self.get_info()).data.banner_revision
+
+    async def get_records(self, mode_type: RecordModeType, records_type: RecordType) -> RecordsSoloSuccessModel:
+        if (record_key := RecordKey(mode_type, records_type)) not in self._records:
+            raw_records = await Cache.get(
+                splice_url(
+                    [
+                        BASE_URL,
+                        'users/',
+                        f'{self._request_user_parameter}/',
+                        'records/',
+                        f'{mode_type}/',
+                        records_type,
+                    ]
+                )
+            )
+            records: RecordsSoloSuccessModel | FailedModel = type_validate_json(SoloRecord, raw_records)  # type: ignore[arg-type]
+            if isinstance(records, FailedModel):
+                msg = f'用户Summaries数据请求错误:\n{records.error}'
+                raise RequestError(msg)
+            self._records[record_key] = records
+            await anti_duplicate_add(
+                TETRIOHistoricalData(
+                    user_unique_identifier=(await self.user).unique_identifier,
+                    api_type=record_key.to_records(),
+                    data=records,
+                    update_time=records.cache.cached_at,
+                ),
+            )
+        return self._records[record_key]

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/base.py

@@ -1,26 +0,0 @@
-from datetime import datetime
-from typing import Literal
-
-from pydantic import BaseModel
-
-
-class P(BaseModel):  # what is P
-    pri: float
-    sec: float
-    ter: float
-
-
-class Cache(BaseModel):
-    status: str
-    cached_at: datetime
-    cached_until: datetime
-
-
-class SuccessModel(BaseModel):
-    success: Literal[True]
-    cache: Cache
-
-
-class FailedModel(BaseModel):
-    success: Literal[False]
-    error: str

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/base/__init__.py

@@ -0,0 +1,61 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel
+
+
+class AggregateStats(BaseModel):
+    apm: float
+    pps: float
+    vsscore: float
+
+
+class Finesse(BaseModel):
+    combo: int
+    faults: int
+    perfectpieces: int
+
+
+class Clears(BaseModel):
+    singles: int
+    doubles: int
+    triples: int
+    quads: int
+    realtspins: int
+    minitspins: int
+    minitspinsingles: int
+    tspinsingles: int
+    minitspindoubles: int
+    tspindoubles: int
+    tspintriples: int
+    tspinquads: int
+    allclear: int
+
+
+class Garbage(BaseModel):
+    sent: int
+    received: int
+    attack: int | None
+    cleared: int
+
+
+class P(BaseModel):  # what is P
+    pri: float
+    sec: float
+    ter: float
+
+
+class Cache(BaseModel):
+    status: str
+    cached_at: datetime
+    cached_until: datetime
+
+
+class SuccessModel(BaseModel):
+    success: Literal[True]
+    cache: Cache
+
+
+class FailedModel(BaseModel):
+    success: Literal[False]
+    error: str

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/base/solo.py

@@ -0,0 +1,65 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from ..base import P
+from . import AggregateStats, Clears, Finesse, Garbage
+
+
+class Time(BaseModel):
+    start: int
+    zero: bool
+    locked: bool
+    prev: int
+    frameoffset: int
+
+
+class Stats(BaseModel):
+    seed: int | None = None  # ?: 不知道是之后都没有了还是还会有
+    lines: int
+    level_lines: int
+    level_lines_needed: int
+    inputs: int
+    holds: int
+    time: Time | None = None  # ?: 不知道是之后都没有了还是还会有
+    score: int
+    zenlevel: int
+    zenprogress: int
+    level: int
+    combo: int
+    currentcombopower: int | None = None
+    topcombo: int
+    btb: int
+    topbtb: int
+    currentbtbchainpower: int | None = None
+    tspins: int
+    piecesplaced: int
+    clears: Clears
+    garbage: Garbage
+    kills: int
+    finesse: Finesse
+    finaltime: float
+
+
+class Results(BaseModel):
+    aggregatestats: AggregateStats
+    stats: Stats
+    gameoverreason: str
+
+
+class Record(BaseModel):
+    id: str = Field(..., alias='_id')
+    replayid: str
+    stub: bool
+    gamemode: Literal['40l', 'blitz']
+    pb: bool
+    oncepb: bool
+    ts: datetime
+    revolution: None
+    otherusers: list
+    leaderboards: list[str]
+    results: Results
+    extras: dict
+    disputed: bool
+    p: P

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/records/solo.py

@@ -0,0 +1,17 @@
+from typing import TypeAlias
+
+from pydantic import BaseModel
+
+from ..base import FailedModel, SuccessModel
+from ..base.solo import Record
+
+
+class Data(BaseModel):
+    entries: list[Record]
+
+
+class SoloSuccessModel(SuccessModel):
+    data: Data
+
+
+Solo: TypeAlias = SoloSuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/__init__.py

@@ -1,20 +1,21 @@
 from .achievements import Achievements, AchievementsSuccessModel
-from .solo import Blitz, SoloSuccessModel, Sprint
+from .league import LeagueSuccessModel
+from .solo import Solo, SoloSuccessModel
 from .zen import Zen, ZenSuccessModel
 from .zenith import Zenith, ZenithEx, ZenithSuccessModel
 
-SummariesModel = AchievementsSuccessModel | SoloSuccessModel | ZenSuccessModel | ZenithSuccessModel
+SummariesModel = AchievementsSuccessModel | SoloSuccessModel | ZenSuccessModel | LeagueSuccessModel | ZenithSuccessModel
 
 __all__ = [
     'Achievements',
     'AchievementsSuccessModel',
-    'Blitz',
-    'Sprint',
+    'LeagueSuccessModel',
+    'Solo',
     'SoloSuccessModel',
+    'SummariesModel',
     'Zen',
-    'ZenSuccessModel',
     'Zenith',
     'ZenithEx',
     'ZenithSuccessModel',
-    'SummariesModel',
+    'ZenSuccessModel',
 ]

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/base.py

@@ -7,17 +7,5 @@ class User(BaseModel):
     avatar_revision: int | None
     banner_revision: int | None
     country: str | None
-    verified: int
+    verified: int | None = None
     supporter: int
-
-
-class AggregateStats(BaseModel):
-    apm: float
-    pps: float
-    vsscore: float
-
-
-class Finesse(BaseModel):
-    combo: int
-    faults: int
-    perfectpieces: int

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/solo.py

@@ -1,92 +1,14 @@
-from datetime import datetime
-from typing import Literal, TypeAlias
+from typing import TypeAlias
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel
 
-from ..base import FailedModel, P, SuccessModel
-from .base import AggregateStats, Finesse, User
+from ..base import FailedModel, SuccessModel
+from ..base.solo import Record as BaseRecord
+from .base import User
 
 
-class Time(BaseModel):
-    start: int
-    zero: bool
-    locked: bool
-    prev: int
-    frameoffset: int
-
-
-class Clears(BaseModel):
-    singles: int
-    doubles: int
-    triples: int
-    quads: int
-    realtspins: int
-    minitspins: int
-    minitspinsingles: int
-    tspinsingles: int
-    minitspindoubles: int
-    tspindoubles: int
-    tspintriples: int
-    tspinquads: int
-    allclear: int
-
-
-class Garbage(BaseModel):
-    sent: int
-    received: int
-    attack: int | None
-    cleared: int
-
-
-class Stats(BaseModel):
-    seed: int | None = None  # ?: 不知道是之后都没有了还是还会有
-    lines: int
-    level_lines: int
-    level_lines_needed: int
-    inputs: int
-    holds: int
-    time: Time | None = None  # ?: 不知道是之后都没有了还是还会有
-    score: int
-    zenlevel: int
-    zenprogress: int
-    level: int
-    combo: int
-    currentcombopower: int | None = None
-    topcombo: int
-    btb: int
-    topbtb: int
-    currentbtbchainpower: int | None = None
-    tspins: int
-    piecesplaced: int
-    clears: Clears
-    garbage: Garbage
-    kills: int
-    finesse: Finesse
-    finaltime: float
-
-
-class Results(BaseModel):
-    aggregatestats: AggregateStats
-    stats: Stats
-    gameoverreason: str
-
-
-class Record(BaseModel):
-    id: str = Field(..., alias='_id')
-    replayid: str
-    stub: bool
-    gamemode: Literal['40l', 'blitz']
-    pb: bool
-    oncepb: bool
-    ts: datetime
-    revolution: None
+class Record(BaseRecord):
     user: User
-    otherusers: list
-    leaderboards: list[str]
-    results: Results
-    extras: dict
-    disputed: bool
-    p: P
 
 
 class Data(BaseModel):
@@ -99,5 +21,4 @@ class SoloSuccessModel(SuccessModel):
     data: Data
 
 
-Sprint: TypeAlias = SoloSuccessModel | FailedModel
-Blitz: TypeAlias = SoloSuccessModel | FailedModel
+Solo: TypeAlias = SoloSuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/zenith.py

@@ -3,38 +3,23 @@ from typing import Literal, TypeAlias
 
 from pydantic import BaseModel, Field
 
-from ..base import FailedModel, P, SuccessModel
-from .base import AggregateStats, Finesse, User
+from ..base import AggregateStats, FailedModel, Finesse, P, SuccessModel
+from ..base import Clears as BaseClears
+from ..base import Garbage as BaseGarbage
+from .base import User
 
 
-class Clears(BaseModel):
-    singles: int
-    doubles: int
-    triples: int
-    quads: int
+class Clears(BaseClears):
     pentas: int
-    realtspins: int
-    minitspins: int
-    minitspinsingles: int
-    tspinsingles: int
-    minitspindoubles: int
-    tspindoubles: int
     minitspintriples: int
-    tspintriples: int
     minitspinquads: int
-    tspinquads: int
     tspinpentas: int
-    allclear: int
 
 
-class Garbage(BaseModel):
-    sent: int
+class Garbage(BaseGarbage):
     sent_nomult: int
     maxspike: int
     maxspike_nomult: int
-    received: int
-    attack: int
-    cleared: int
 
 
 class _Zenith(BaseModel):

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/user.py

@@ -6,7 +6,7 @@ from ....schemas import BaseUser
 from ...constant import GAME_TYPE
 
 
-class User(BaseUser):
+class User(BaseUser[Literal['IO']]):
     platform: Literal['IO'] = GAME_TYPE
 
     ID: str

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/user_info.py

@@ -42,7 +42,7 @@ class Data(BaseModel):
     badstanding: bool | None = None
     supporter: bool | None = None  # osk说是必有, 但实际上不是 fkosk
     supporter_tier: int
-    verified: bool
+    verified: bool | None = None
     avatar_revision: int | None = None
     """This user's avatar ID. Get their avatar at
 

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/user_records.py

@@ -1,122 +0,0 @@
-from datetime import datetime
-
-from pydantic import BaseModel, Field
-
-from .....utils.typing import Number
-from .base import FailedModel
-from .base import SuccessModel as BaseSuccessModel
-
-
-class Time(BaseModel):
-    start: int
-    zero: bool
-    locked: bool
-    prev: int
-    frameoffset: int | None = None
-
-
-class Clears(BaseModel):
-    singles: int
-    doubles: int
-    triples: int
-    quads: int
-    pentas: int | None = None
-    realtspins: int
-    minitspins: int
-    minitspinsingles: int
-    tspinsingles: int
-    minitspindoubles: int
-    tspindoubles: int
-    tspintriples: int
-    tspinquads: int
-    allclear: int
-
-
-class Garbage(BaseModel):
-    sent: int
-    received: int
-    attack: int | None = None
-    cleared: int | None = None
-
-
-class Finesse(BaseModel):
-    combo: int
-    faults: int
-    perfectpieces: int
-
-
-class EndContext(BaseModel):
-    seed: Number
-    lines: int
-    level_lines: int
-    level_lines_needed: int
-    inputs: int
-    holds: int | None = None
-    time: Time
-    score: int
-    zenlevel: int | None = None
-    zenprogress: int | None = None
-    level: int
-    combo: int
-    currentcombopower: int | None = None  # WTF
-    topcombo: int
-    btb: int
-    topbtb: int
-    currentbtbchainpower: int | None = None  # WTF * 2
-    tspins: int
-    piecesplaced: int
-    clears: Clears
-    garbage: Garbage
-    kills: int
-    finesse: Finesse
-    final_time: float = Field(..., alias='finalTime')
-    gametype: str
-
-
-class _User(BaseModel):
-    id: str = Field(..., alias='_id')
-    username: str
-
-
-class _Record(BaseModel):
-    id: str = Field(..., alias='_id')
-    stream: str
-    replayid: str
-    user: _User
-    ts: datetime
-    ismulti: bool | None = None
-
-
-class SoloRecord(_Record):
-    endcontext: EndContext
-
-
-class MultiRecord(_Record):
-    endcontext: list[EndContext]
-
-
-class SoloModeRecord(BaseModel):
-    record: SoloRecord | None = None
-    rank: int | None = None
-
-
-class Records(BaseModel):
-    sprint: SoloModeRecord = Field(..., alias='40l')
-    blitz: SoloModeRecord
-
-
-class Zen(BaseModel):
-    level: int
-    score: int
-
-
-class Data(BaseModel):
-    records: Records
-    zen: Zen
-
-
-class UserRecordsSuccess(BaseSuccessModel):
-    data: Data
-
-
-UserRecords = UserRecordsSuccess | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/typing.py

@@ -1,6 +1,7 @@
 from typing import Literal
 
-ValidRank = Literal[
+S1ValidRank = Literal[
+    'x+',
     'x',
     'u',
     'ss',
@@ -19,7 +20,9 @@ ValidRank = Literal[
     'd+',
     'd',
 ]
+S1Rank = S1ValidRank | Literal['z']
 
+ValidRank = Literal['x+'] | S1ValidRank
 Rank = ValidRank | Literal['z']  # 未定级
 
 Summaries = Literal[
@@ -27,7 +30,16 @@ Summaries = Literal[
     'blitz',
     'zenith',
     'zenithex',
-    # 'league',  # 等待正式赛季开始
+    'league',
     'zen',
     'achievements',
 ]
+
+Records = Literal[
+    '40l_top',
+    '40l_recent',
+    '40l_progression',
+    'blitz_top',
+    'blitz_recent',
+    'blitz_progression',
+]

nonebot_plugin_tetris_stats/games/tetrio/query.py

@@ -19,9 +19,18 @@ from sqlalchemy import select
 
 from ...db import query_bind_info, trigger
 from ...utils.host import HostPage, get_self_netloc
+from ...utils.metrics import get_metrics
 from ...utils.render import render
 from ...utils.render.schemas.base import Avatar
-from ...utils.render.schemas.tetrio.user.info_v2 import Badge, Blitz, Sprint, Statistic, Zen
+from ...utils.render.schemas.tetrio.user.info_v2 import (
+    Badge,
+    Blitz,
+    Sprint,
+    Statistic,
+    TetraLeague,
+    TetraLeagueStatistic,
+    Zen,
+)
 from ...utils.render.schemas.tetrio.user.info_v2 import Info as V2TemplateInfo
 from ...utils.render.schemas.tetrio.user.info_v2 import User as V2TemplateUser
 from ...utils.screenshot import screenshot
@@ -36,6 +45,7 @@ from .typing import Template
 
 if TYPE_CHECKING:
     from .api.schemas.summaries import SoloSuccessModel, ZenSuccessModel
+    from .api.schemas.summaries.league import LeagueSuccessModel
     from .api.schemas.user import User
     from .api.schemas.user_info import UserInfoSuccess
 
@@ -146,15 +156,17 @@ def handling_special_value(value: N) -> N | None:
 async def make_query_image_v2(player: Player) -> bytes:
     user: User
     user_info: UserInfoSuccess
+    league: LeagueSuccessModel
     sprint: SoloSuccessModel
     blitz: SoloSuccessModel
     zen: ZenSuccessModel
     avatar_revision: int | None
     banner_revision: int | None
-    # [todo) 有没有什么办法能让这类型推导成功)
-    user, user_info, sprint, blitz, zen, avatar_revision, banner_revision = await gather(  # type: ignore[assignment]
+    # TODO)) 有没有什么办法能让这类型推导成功)
+    user, user_info, league, sprint, blitz, zen, avatar_revision, banner_revision = await gather(  # type: ignore[assignment]
         player.user,
         player.get_info(),
+        player.league,
         player.sprint,
         player.blitz,
         player.zen,
@@ -211,11 +223,27 @@ async def make_query_image_v2(player: Player) -> bytes:
                     friend_count=user_info.data.friend_count,
                     supporter_tier=user_info.data.supporter_tier,
                     bad_standing=user_info.data.badstanding or False,
-                    verified=user_info.data.verified,
+                    verified=user_info.data.verified or False,
                     playtime=play_time,
                     join_at=user_info.data.ts,
                 ),
-                tetra_league=None,
+                tetra_league=TetraLeague(
+                    rank=league.data.rank,
+                    highest_rank=league.data.bestrank,
+                    tr=round(league.data.tr, 2),
+                    glicko=round(league.data.glicko, 2),
+                    rd=round(league.data.rd, 2),
+                    global_rank=league.data.standing,
+                    country_rank=league.data.standing_local,
+                    pps=(metrics := get_metrics(pps=league.data.pps, apm=league.data.apm, vs=league.data.vs)).pps,
+                    apm=metrics.apm,
+                    apl=metrics.apl,
+                    vs=metrics.vs,
+                    adpl=metrics.adpl,
+                    statistic=TetraLeagueStatistic(total=league.data.gamesplayed, wins=league.data.gameswon),
+                    decaying=league.data.decaying,
+                    history=None,
+                ),
                 statistic=Statistic(
                     total=handling_special_value(user_info.data.gamesplayed),
                     wins=handling_special_value(user_info.data.gameswon),

nonebot_plugin_tetris_stats/games/top/api/player.py

@@ -39,7 +39,6 @@ class Player:
             raw_user_profile = await Request.request(url, is_json=False)
             self._user_profile = self._parse_profile(raw_user_profile)
             await anti_duplicate_add(
-                TOPHistoricalData,
                 TOPHistoricalData(
                     user_unique_identifier=(await self.user).unique_identifier,
                     api_type='User Profile',
@@ -49,7 +48,8 @@ class Player:
             )
         return self._user_profile
 
-    def _parse_profile(self, original_user_profile: bytes) -> UserProfile:
+    @staticmethod
+    def _parse_profile(original_user_profile: bytes) -> UserProfile:
         html = etree.HTML(original_user_profile)
         user_name = html.xpath('//div[@class="mycontent"]/h1/text()')[0].replace("'s profile", '')
         today = None
@@ -68,4 +68,4 @@ class Player:
         total: list[Data] = []
         for _, value in dataframe.iterrows():
             total.append(Data(lpm=value['lpm'], apm=value['apm']))
-        return UserProfile(user_name=user_name, today=today, total=total)
+        return UserProfile(user_name=user_name, today=today, total=total or None)

nonebot_plugin_tetris_stats/games/top/api/schemas/user.py

@@ -6,7 +6,7 @@ from ....schemas import BaseUser
 from ...constant import GAME_TYPE
 
 
-class User(BaseUser):
+class User(BaseUser[Literal['TOP']]):
     platform: Literal['TOP'] = GAME_TYPE
 
     user_name: str

nonebot_plugin_tetris_stats/games/top/query.py

@@ -8,12 +8,20 @@ from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[im
 from nonebot_plugin_user import get_user
 
 from ...db import query_bind_info, trigger
-from ...utils.metrics import get_metrics
+from ...utils.exception import FallbackError
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.metrics import TetrisMetricsBasicWithLPM, get_metrics
+from ...utils.render import render
+from ...utils.render.avatar import get_avatar
+from ...utils.render.schemas.base import People
+from ...utils.render.schemas.top_info import Data as InfoData
+from ...utils.render.schemas.top_info import Info
+from ...utils.screenshot import screenshot
 from ...utils.typing import Me
 from ..constant import CANT_VERIFY_MESSAGE
 from . import alc
 from .api import Player
-from .api.schemas.user_profile import UserProfile
+from .api.schemas.user_profile import Data, UserProfile
 from .constant import GAME_TYPE
 
 
@@ -35,8 +43,10 @@ async def _(event: Event, matcher: Matcher, target: At | Me, event_session: Even
             )
         if bind is None:
             await matcher.finish('未查询到绑定信息')
-        message = CANT_VERIFY_MESSAGE
-        await (message + make_query_text(await Player(user_name=bind.game_account, trust=True).get_profile())).finish()
+        await (
+            UniMessage(CANT_VERIFY_MESSAGE)
+            + await make_query_result(await Player(user_name=bind.game_account, trust=True).get_profile())
+        ).finish()
 
 
 @alc.assign('TOP.query')
@@ -47,7 +57,34 @@ async def _(account: Player, event_session: EventSession):
         command_type='query',
         command_args=[],
     ):
-        await (make_query_text(await account.get_profile())).finish()
+        await (await make_query_result(await account.get_profile())).finish()
+
+
+def get_avg_metrics(data: list[Data]) -> TetrisMetricsBasicWithLPM:
+    total_lpm = total_apm = 0.0
+    for value in data:
+        total_lpm += value.lpm
+        total_apm += value.apm
+    num = len(data)
+    return get_metrics(lpm=total_lpm / num, apm=total_apm / num)
+
+
+async def make_query_image(profile: UserProfile) -> bytes:
+    if profile.today is None or profile.total is None:
+        raise FallbackError
+    today = get_metrics(lpm=profile.today.lpm, apm=profile.today.apm)
+    history = get_avg_metrics(profile.total)
+    async with HostPage(
+        await render(
+            'v1/top/info',
+            Info(
+                user=People(avatar=get_avatar(profile.user_name), name=profile.user_name),
+                today=InfoData(pps=today.pps, lpm=today.lpm, apm=today.apm, apl=today.apl),
+                history=InfoData(pps=history.pps, lpm=history.lpm, apm=history.apm, apl=history.apl),
+            ),
+        )
+    ) as page_hash:
+        return await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
 
 
 def make_query_text(profile: UserProfile) -> UniMessage:
@@ -60,15 +97,18 @@ def make_query_text(profile: UserProfile) -> UniMessage:
     else:
         message += f'用户 {profile.user_name} 暂无24小时内统计数据'
     if profile.total is not None:
-        total_lpm = total_apm = 0.0
-        for value in profile.total:
-            total_lpm += value.lpm
-            total_apm += value.apm
-        num = len(profile.total)
-        total = get_metrics(lpm=total_lpm / num, apm=total_apm / num)
+        total = get_avg_metrics(profile.total)
         message += '\n历史统计数据为: '
         message += f"\nL'PM: {total.lpm} ( {total.pps} pps )"
         message += f'\nAPM: {total.apm} ( x{total.apl} )'
     else:
         message += '\n暂无历史统计数据'
     return UniMessage(message)
+
+
+async def make_query_result(profile: UserProfile) -> UniMessage:
+    try:
+        return UniMessage.image(raw=await make_query_image(profile))
+    except FallbackError:
+        ...
+    return make_query_text(profile)

nonebot_plugin_tetris_stats/games/tos/api/player.py

@@ -85,7 +85,6 @@ class Player:
                 raise RequestError(msg)
             self._user_info = user_info
             await anti_duplicate_add(
-                TOSHistoricalData,
                 TOSHistoricalData(
                     user_unique_identifier=(await self.user).unique_identifier,
                     api_type='User Info',
@@ -117,7 +116,6 @@ class Player:
             )
             self._user_profile[params] = type_validate_json(UserProfile, raw_user_profile)
             await anti_duplicate_add(
-                TOSHistoricalData,
                 TOSHistoricalData(
                     user_unique_identifier=(await self.user).unique_identifier,
                     api_type='User Profile',

nonebot_plugin_tetris_stats/games/tos/api/schemas/user.py

@@ -6,7 +6,7 @@ from ....schemas import BaseUser
 from ...constant import GAME_TYPE
 
 
-class User(BaseUser):
+class User(BaseUser[Literal['TOS']]):
     platform: Literal['TOS'] = GAME_TYPE
 
     teaid: str

nonebot_plugin_tetris_stats/games/tos/query.py

@@ -19,6 +19,7 @@ from ...utils.host import HostPage, get_self_netloc
 from ...utils.image import get_avatar
 from ...utils.metrics import TetrisMetricsProWithLPMADPM, get_metrics
 from ...utils.render import render
+from ...utils.render.avatar import get_avatar as get_random_avatar
 from ...utils.render.schemas.base import People, Ranking
 from ...utils.render.schemas.tos_info import Info, Multiplayer, Radar
 from ...utils.screenshot import screenshot
@@ -57,7 +58,9 @@ def add_special_handlers(
                     user_info, game_data = await gather(player.get_info(), get_game_data(player))
                     if game_data is not None:
                         await UniMessage.image(
-                            raw=await make_query_image(user_info, game_data, event_user_info)
+                            raw=await make_query_image(
+                                user_info, game_data, None if isinstance(target, At) else event_user_info
+                            )
                         ).finish()
                     await make_query_text(user_info, game_data).finish()
                 except RequestError as e:
@@ -126,13 +129,18 @@ async def _(
         user_info, game_data = await gather(player.get_info(), get_game_data(player))
         if game_data is not None:
             await (
-                message + UniMessage.image(raw=await make_query_image(user_info, game_data, event_user_info))
+                message
+                + UniMessage.image(
+                    raw=await make_query_image(
+                        user_info, game_data, None if isinstance(target, At) else event_user_info
+                    )
+                )
             ).finish()
         await (message + make_query_text(user_info, game_data)).finish()
 
 
 @alc.assign('TOS.query')
-async def _(account: Player, event_session: EventSession, event_user_info: UserInfo = EventUserInfo()):  # noqa: B008
+async def _(account: Player, event_session: EventSession):
     async with trigger(
         session_persist_id=await get_session_persist_id(event_session),
         game_platform=GAME_TYPE,
@@ -141,7 +149,7 @@ async def _(account: Player, event_session: EventSession, event_user_info: UserI
     ):
         user_info, game_data = await gather(account.get_info(), get_game_data(account))
         if game_data is not None:
-            await UniMessage.image(raw=await make_query_image(user_info, game_data, event_user_info)).finish()
+            await UniMessage.image(raw=await make_query_image(user_info, game_data, None)).finish()
         await make_query_text(user_info, game_data).finish()
 
 
@@ -184,7 +192,7 @@ async def get_game_data(player: Player, query_num: int = 50) -> GameData | None:
             break
     if num == 0:
         return None
-    # TODO: 如果有效局数小于 {查询数} , 并且没有无dig信息的局, 且 user_profile.data 内有{请求数}个局, 则继续往前获取信息
+    # TODO)) 如果有效局数小于 {查询数} , 并且没有无dig信息的局, 且 user_profile.data 内有{请求数}个局, 则继续往前获取信息
     metrics = get_metrics(
         lpm=weighted_total_lpm / total_time, apm=weighted_total_apm / total_time, adpm=weighted_total_adpm / total_time
     )
@@ -197,15 +205,27 @@ async def get_game_data(player: Player, query_num: int = 50) -> GameData | None:
     )
 
 
-async def make_query_image(user_info: UserInfoSuccess, game_data: GameData, event_user_info: UserInfo) -> bytes:
+async def make_query_image(user_info: UserInfoSuccess, game_data: GameData, event_user_info: UserInfo | None) -> bytes:
     metrics = game_data.metrics
-    duration = timedelta(milliseconds=float(user_info.data.pb_sprint)).total_seconds()
-    sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s'  # noqa: PLR2004
+    sprint_value = (
+        (
+            f'{duration:.3f}s'
+            if (duration := timedelta(milliseconds=float(user_info.data.pb_sprint)).total_seconds()) < 60  # noqa: PLR2004
+            else f'{duration // 60:.0f}m {duration % 60:.3f}s'
+        )
+        if user_info.data.pb_sprint != '2147483647'
+        else 'N/A'
+    )
     async with HostPage(
         await render(
             'v1/tos/info',
             Info(
-                user=People(avatar=await get_avatar(event_user_info, 'Data URI', None), name=user_info.data.name),
+                user=People(
+                    avatar=await get_avatar(event_user_info, 'Data URI', None)
+                    if event_user_info is not None
+                    else get_random_avatar(user_info.data.teaid),
+                    name=user_info.data.name,
+                ),
                 ranking=Ranking(rating=float(user_info.data.ranking), rd=round(float(user_info.data.rd_now), 2)),
                 multiplayer=Multiplayer(
                     pps=metrics.pps,

nonebot_plugin_tetris_stats/utils/host.py

@@ -55,7 +55,7 @@ def _():
 
 
 @app.get('/host/{page_hash}.html', status_code=status.HTTP_200_OK)
-async def _(page_hash: str) -> HTMLResponse:
+def _(page_hash: str) -> HTMLResponse:
     if page_hash in HostPage.pages:
         return HTMLResponse(HostPage.pages[page_hash])
     return NOT_FOUND

nonebot_plugin_tetris_stats/utils/render/avatar/__init__.py

@@ -0,0 +1,34 @@
+from base64 import b64encode
+from io import BytesIO
+from random import Random
+
+from PIL import Image
+from PIL.Image import Resampling
+
+from .draw import PIECE_MEMBERS, SkinManager
+
+
+def get_avatar(send: float | str | bytes | bytearray | None = None) -> str:
+    random = Random(send)  # noqa: S311
+    skin = (
+        SkinManager.get_skin(send)
+        .get_piece(random.choice(PIECE_MEMBERS))
+        .rotate(
+            random.randint(-360, 360),
+            expand=True,
+            resample=Resampling.BICUBIC,
+        )
+    )
+    skin = skin.crop(skin.getbbox())
+    background = Image.new('RGBA', (2048, 2048), '#e5e5e5')
+
+    skin_ratio = min(1536 / skin.width, 1536 / skin.height)
+
+    new_size = (int(skin.width * skin_ratio), int(skin.height * skin_ratio))
+    skin = skin.resize(new_size, Resampling.BICUBIC)
+
+    background.paste(skin, ((background.width - skin.width) // 2, (background.height - skin.height) // 2), mask=skin)
+    background = background.resize((512, 512), Resampling.LANCZOS)
+    with BytesIO() as output:
+        background.save(output, format='PNG')
+        return f'data:image/png;base64,{b64encode(output.getvalue()).decode("utf-8")}'

nonebot_plugin_tetris_stats/utils/render/avatar/draw/__init__.py

@@ -0,0 +1,169 @@
+from abc import ABC, abstractmethod
+from enum import Enum
+from random import Random
+from typing import Any, ClassVar
+
+from PIL.Image import Image
+from typing_extensions import Self
+
+
+class Piece(Enum):
+    Z = (
+        (True, True, False),
+        (False, True, True),
+    )
+
+    S = (
+        (False, True, True),
+        (True, True, False),
+    )
+
+    J = (
+        (True, False, False),
+        (True, True, True),
+    )
+
+    L = (
+        (False, False, True),
+        (True, True, True),
+    )
+
+    T = (
+        (False, True, False),
+        (True, True, True),
+    )
+
+    I = (  # noqa: E741
+        (True, True, True, True),
+    )
+
+    O = (  # noqa: E741
+        (True, True),
+        (True, True),
+    )
+
+    I5 = (
+        (True, True, True, True, True),  # fmt: skip
+    )
+
+    V = (
+        (True, False, False),
+        (True, False, False),
+        (True, True, True),
+    )
+
+    T5 = (
+        (True, True, True),
+        (False, True, False),
+        (False, True, False),
+    )
+
+    U = (
+        (True, False, True),
+        (True, True, True),
+    )
+
+    W = (
+        (True, False, False),
+        (True, True, False),
+        (False, True, True),
+    )
+
+    X = (
+        (False, True, False),
+        (True, True, True),
+        (False, True, False),
+    )
+
+    J5 = (
+        (True, False, False, False),
+        (True, True, True, True),
+    )
+
+    L5 = (
+        (False, False, False, True),
+        (True, True, True, True),
+    )
+
+    H = (
+        (False, False, True, True),
+        (True, True, True, False),
+    )
+
+    N = (
+        (True, True, False, False),
+        (False, True, True, True),
+    )
+
+    Y = (
+        (False, True, False, False),
+        (True, True, True, True),
+    )
+
+    R = (
+        (False, False, True, False),
+        (True, True, True, True),
+    )
+
+    P = (
+        (True, True, False),
+        (True, True, True),
+    )
+
+    Q = (
+        (False, True, True),
+        (True, True, True),
+    )
+
+    F = (
+        (True, False, False),
+        (True, True, True),
+        (False, True, False),
+    )
+
+    E = (
+        (False, False, True),
+        (True, True, True),
+        (False, True, False),
+    )
+
+    S5 = (
+        (False, True, True),
+        (False, True, False),
+        (True, True, False),
+    )
+
+    Z5 = (
+        (True, True, False),
+        (False, True, False),
+        (False, True, True),
+    )
+
+
+PIECE_MEMBERS = tuple(Piece)
+
+
+class SkinManager:
+    skin: ClassVar[list['Skin']] = []
+
+    @classmethod
+    def register(cls, skin: 'Skin') -> None:
+        cls.skin.append(skin)
+
+    @classmethod
+    def get_skin(cls, send: float | str | bytes | bytearray | None = None) -> 'Skin':
+        return Random(send).choice(cls.skin)  # noqa: S311
+
+
+class Skin(ABC):
+    def __new__(cls, *args: Any, **kwargs: Any) -> Self:  # noqa: ANN401, ARG003
+        instance = super().__new__(cls)
+        SkinManager.register(instance)
+        return instance
+
+    @abstractmethod
+    def get_piece(self, piece: Piece) -> Image:
+        raise NotImplementedError
+
+
+from . import tech  # noqa: E402, F401

nonebot_plugin_tetris_stats/utils/render/avatar/draw/tech/__init__.py

@@ -0,0 +1,94 @@
+from enum import Enum
+from pathlib import Path
+
+from nonebot import get_driver
+from PIL import Image
+from PIL.Image import Resampling
+from typing_extensions import override
+
+from .. import Piece, Skin
+
+SINGLE = 30
+
+driver = get_driver()
+
+
+class Block(Enum):
+    Z = (0, 0, 30, 30)
+    Y = (30, 0, 60, 30)
+    L = (60, 0, 90, 30)
+    O = (90, 0, 120, 30)  # noqa: E741
+    U = (120, 0, 150, 30)
+    Q = (150, 0, 180, 30)
+    S = (180, 0, 210, 30)
+    H = (210, 0, 240, 30)
+    I = (0, 30, 30, 60)  # noqa: E741
+    F = (30, 30, 60, 60)
+    J = (60, 30, 90, 60)
+    R = (90, 30, 120, 60)
+    C = (120, 30, 150, 60)
+    T = (150, 30, 180, 60)
+    W = (180, 30, 210, 60)
+    N = (210, 30, 240, 60)
+
+
+piece_block_mapping = {
+    Piece.Z: Block.Z,
+    Piece.S: Block.S,
+    Piece.J: Block.J,
+    Piece.L: Block.L,
+    Piece.T: Block.T,
+    Piece.I: Block.I,
+    Piece.O: Block.O,
+    Piece.I5: Block.O,
+    Piece.V: Block.I,
+    Piece.T5: Block.C,
+    Piece.U: Block.U,
+    Piece.W: Block.W,
+    Piece.X: Block.O,
+    Piece.J5: Block.J,
+    Piece.L5: Block.L,
+    Piece.H: Block.H,
+    Piece.N: Block.N,
+    Piece.R: Block.R,
+    Piece.Y: Block.Y,
+    Piece.P: Block.Y,
+    Piece.Q: Block.Q,
+    Piece.F: Block.F,
+    Piece.E: Block.Y,
+    Piece.S5: Block.S,
+    Piece.Z5: Block.Z,
+}
+
+
+class TechSkin(Skin):
+    def __init__(self, path: Path, name: str | None = None) -> None:
+        self.path = path
+        self.name = name or path.name
+        self.image = Image.open(path)
+        self._block_cache: dict[Block, Image.Image] = {}
+
+    def get_block(self, block: Block) -> Image.Image:
+        return self._block_cache.setdefault(block, self.image.crop(block.value))
+
+    def draw_piece(self, block: Block, piece: Piece, scale: int = 10) -> Image.Image:
+        canvas = Image.new(
+            'RGBA', (len(piece.value[0]) * SINGLE * scale, len(piece.value) * SINGLE * scale), (0, 0, 0, 0)
+        )
+        block_img = self.get_block(block).resize((SINGLE * scale, SINGLE * scale), resample=Resampling.BICUBIC)
+        for i, row in enumerate(piece.value):
+            for j, mino in enumerate(row):
+                if mino:
+                    canvas.paste(block_img, (j * SINGLE * scale, i * SINGLE * scale))
+        return canvas
+
+    @override
+    def get_piece(self, piece: Piece) -> Image.Image:
+        return self.draw_piece(piece_block_mapping[piece], piece)
+
+
+@driver.on_startup
+def _():
+    path = Path(__file__).parent / 'skins'
+    for i in sorted(path.iterdir()):
+        TechSkin(i)

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio/record/base.py

@@ -70,6 +70,4 @@ class Record(BaseModel):
     rank: int | None
     personal_rank: int | None
 
-    statistic: Statistic
-
     play_at: datetime

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio/record/sprint.py

@@ -1,5 +1,7 @@
 from .base import Record as BaseRecord
+from .base import Statistic
 
 
 class Record(BaseRecord):
+    statistic: Statistic
     time: str

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio/user/info_v2.py

@@ -3,7 +3,6 @@ from typing import Literal
 
 from pydantic import BaseModel
 
-from ......games.tetrio.api.schemas.user_records import Zen
 from ......games.tetrio.api.typing import Rank, ValidRank
 from .....typing import Number
 from ...base import Avatar
@@ -91,6 +90,11 @@ class Blitz(BaseModel):
     play_at: datetime
 
 
+class Zen(BaseModel):
+    level: int
+    score: int
+
+
 class Info(BaseModel):
     user: User
     tetra_league: TetraLeague | None

nonebot_plugin_tetris_stats/utils/request.py

@@ -119,7 +119,7 @@ class Request:
     async def request(cls, url: str, *, is_json: bool = True) -> bytes:
         """请求api"""
         try:
-            async with AsyncClient(cookies=cls._cookies, timeout=config.tetris_req_timeout) as session:
+            async with AsyncClient(cookies=cls._cookies, timeout=config.tetris.request_timeout) as session:
                 response = await session.get(url, headers=cls._headers)
                 if response.status_code != HTTPStatus.OK:
                     msg = f'请求错误 code: {response.status_code} {HTTPStatus(response.status_code).phrase}\n{response.text}'

nonebot_plugin_tetris_stats/utils/screenshot.py

@@ -4,18 +4,19 @@ from playwright.async_api import TimeoutError, ViewportSize
 from ..config.config import Config
 from .browser import BrowserManager
 from .retry import retry
+from .time_it import time_it
 
 config = get_plugin_config(Config)
 
 
 @retry(exception_type=TimeoutError, reply='截图失败, 重试中')
+@time_it
 async def screenshot(url: str) -> bytes:
     browser = await BrowserManager.get_browser()
     async with (
-        await browser.new_page(device_scale_factor=config.tetris_screenshot_quality) as page,
+        await browser.new_page(device_scale_factor=config.tetris.screenshot_quality) as page,
     ):
         await page.goto(url)
-        await page.wait_for_load_state('networkidle')
         size: ViewportSize = await page.evaluate("""
             () => {
                 const element = document.querySelector('#content');

nonebot_plugin_tetris_stats/utils/templates.py

@@ -11,12 +11,13 @@ from nonebot import get_driver
 from nonebot.log import logger
 from nonebot.permission import SUPERUSER
 from nonebot_plugin_alconna import Alconna, Args, Option, on_alconna
-from nonebot_plugin_localstore import get_cache_file, get_data_dir
 from rich.progress import Progress
 
+from ..config.config import CACHE_PATH, DATA_PATH
+
 driver = get_driver()
 
-TEMPLATES_DIR = get_data_dir('nonebot_plugin_tetris_stats') / 'templates'
+TEMPLATES_DIR = DATA_PATH / 'templates'
 
 alc = on_alconna(Alconna('更新模板', Option('--revision', Args['revision', str], alias={'-R'})), permission=SUPERUSER)
 
@@ -36,7 +37,7 @@ async def download_templates(tag: str) -> Path:
                 .rsplit('/', 1)[-1]
             )
             logger.success(f'获取到的最新版本号: {tag}')
-        path = get_cache_file('nonebot_plugin_tetris_stats', f'dist_{time_ns()}.zip')
+        path = CACHE_PATH / f'dist_{time_ns()}.zip'
         with Progress() as progress:
             task_id = progress.add_task('[red]Downloading...', total=None)
             async with (
@@ -56,7 +57,7 @@ async def download_templates(tag: str) -> Path:
         return path
 
 
-async def unzip_templates(zip_path: Path) -> Path:
+def unzip_templates(zip_path: Path) -> Path:
     logger.info('开始解压模板')
     temp_path = TEMPLATES_DIR.parent / f'temp_{time_ns()}'
     with ZipFile(zip_path) as zip_file:
@@ -91,7 +92,7 @@ async def check_hash(hash_file_path: Path) -> bool:
 
 async def init_templates(tag: str) -> bool:
     logger.info(f'开始初始化模板 {tag}')
-    temp_path = await unzip_templates(await download_templates(tag))
+    temp_path = unzip_templates(await download_templates(tag))
     if not await check_hash(temp_path / 'hash.sha256'):
         rmtree(temp_path)
         return False

nonebot_plugin_tetris_stats/utils/time_it.py

@@ -0,0 +1,21 @@
+from collections.abc import Callable, Coroutine
+from functools import wraps
+from time import time_ns
+from typing import Any, ParamSpec, TypeVar
+
+from nonebot.log import logger
+
+T = TypeVar('T')
+P = ParamSpec('P')
+
+
+def time_it(func: Callable[P, Coroutine[Any, Any, T]]) -> Callable[P, Coroutine[Any, Any, T]]:
+    @wraps(func)
+    async def wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+        start = time_ns()
+        try:
+            return await func(*args, **kwargs)
+        finally:
+            logger.debug(f'{func.__name__} took {(time_ns() - start) / 1e6}ms')
+
+    return wrapper

poetry.lock

@@ -54,87 +54,87 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.1"
+version = "3.10.2"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "aiohttp-3.10.2.tar.gz", hash = "sha256:4d1f694b5d6e459352e5e925a42e05bac66655bfde44d81c59992463d2897014"},
 ]
 
 [package.dependencies]
@@ -266,13 +266,13 @@ zookeeper = ["kazoo"]
 
 [[package]]
 name = "arclet-alconna"
-version = "1.8.23"
+version = "1.8.26"
 description = "A High-performance, Generality, Humane Command Line Arguments Parser Library."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "arclet_alconna-1.8.26-py3-none-any.whl", hash = "sha256:9726c31947efb2cf6786c4a7962f6824e3b2831bb5c45991f2660adfe3958818"},
+    {file = "arclet_alconna-1.8.26.tar.gz", hash = "sha256:8acbfc5892aea25772105581cc5e69e765ff4947ac53014ec7feeb5991e0a4e1"},
 ]
 
 [package.dependencies]
@@ -285,13 +285,13 @@ full = ["arclet-alconna-tools (>=0.2.0)"]
 
 [[package]]
 name = "arclet-alconna-tools"
-version = "0.7.8"
+version = "0.7.9"
 description = "Builtin Tools for Alconna"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -638,18 +638,18 @@ files = [
 test = ["pytest (>=6)"]
 
 [[package]]
-name = "expiringdict"
-version = "1.2.2"
-description = "Dictionary with auto-expiring values for caching purposes"
+name = "expiringdictx"
+version = "1.1.0"
+description = "提供一个带有过期时间的字典数据结构，适用于缓存和临时存储。"
 optional = false
-python-versions = "*"
+python-versions = "<4,>=3.9"
 files = [
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 ]
 
-[package.extras]
-tests = ["coverage", "coveralls", "dill", "mock", "nose"]
+[package.dependencies]
+lru-dict = ">=1.3.0,<2.0.0"
 
 [[package]]
 name = "fastapi"
@@ -1110,155 +1110,244 @@ win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
 [package.extras]
 dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptiongroup (==1.1.3)", "freezegun (==1.1.0)", "freezegun (==1.2.2)", "mypy (==v0.910)", "mypy (==v0.971)", "mypy (==v1.4.1)", "mypy (==v1.5.1)", "pre-commit (==3.4.0)", "pytest (==6.1.2)", "pytest (==7.4.0)", "pytest-cov (==2.12.1)", "pytest-cov (==4.1.0)", "pytest-mypy-plugins (==1.9.3)", "pytest-mypy-plugins (==3.0.0)", "sphinx-autobuild (==2021.3.14)", "sphinx-rtd-theme (==1.3.0)", "tox (==3.27.1)", "tox (==4.11.0)"]
 
+[[package]]
+name = "lru-dict"
+version = "1.3.0"
+description = "An Dict like LRU container."
+optional = false
+python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -1266,7 +1355,7 @@ cssselect = ["cssselect (>=0.7)"]
 html-clean = ["lxml-html-clean"]
 html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
-source = ["Cython (>=3.0.10)"]
+source = ["Cython (>=3.0.11)"]
 
 [[package]]
 name = "mako"
@@ -1721,23 +1810,23 @@ nonebot2 = ">=2.3.0"
 
 [[package]]
 name = "nonebot-plugin-alconna"
-version = "0.50.3"
+version = "0.51.4"
 description = "Alconna Adapter for Nonebot"
 optional = false
 python-versions = ">=3.9"
 files = [
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 [package.dependencies]
-arclet-alconna = ">=1.8.21"
-arclet-alconna-tools = ">=0.7.8"
+arclet-alconna = ">=1.8.25"
+arclet-alconna-tools = ">=0.7.9"
 importlib-metadata = ">=4.13.0"
 nepattern = ">=0.7.4"
 nonebot-plugin-waiter = ">=0.6.0"
 nonebot2 = ">=2.3.0"
-tarina = ">=0.5.4"
+tarina = ">=0.5.5"
 
 [[package]]
 name = "nonebot-plugin-apscheduler"
@@ -1773,13 +1862,13 @@ typing-extensions = ">=4.0.0,<5.0.0"
 
 [[package]]
 name = "nonebot-plugin-orm"
-version = "0.7.5"
+version = "0.7.6"
 description = "SQLAlchemy ORM support for nonebot"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
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 [package.dependencies]
@@ -1838,21 +1927,21 @@ nonebot2 = {version = ">=2.2.0,<3.0.0", extras = ["fastapi"]}
 
 [[package]]
 name = "nonebot-plugin-user"
-version = "0.3.0"
+version = "0.4.1"
 description = "适用于 Nonebot2 的用户插件"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
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+expiringdictx = ">=1.1.0"
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 nonebot-plugin-orm = ">=0.7.0"
-nonebot-plugin-session = ">=0.3.0,<0.4.0"
-nonebot2 = ">=2.2.0,<3.0.0"
+nonebot-plugin-session = ">=0.3.0"
+nonebot2 = ">=2.2.0"
 
 [[package]]
 name = "nonebot-plugin-userinfo"
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 quart = ["Quart (>=0.18.0,<1.0.0)", "uvicorn[standard] (>=0.20.0,<1.0.0)"]
 websockets = ["websockets (>=10.0)"]
 
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-]
-
 [[package]]
 name = "numpy"
 version = "2.0.1"
@@ -2105,20 +2149,17 @@ xml = ["lxml (>=4.9.2)"]
 
 [[package]]
 name = "pandas-stubs"
-version = "2.2.2.240805"
+version = "2.2.2.240807"
 description = "Type annotations for pandas"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
-numpy = [
-    {version = ">=1.23.5,<2.0.0", markers = "python_version >= \"3.9\" and python_version < \"3.12\""},
-    {version = ">=2.0.0", markers = "python_version >= \"3.12\" and python_version < \"3.13\""},
-]
+numpy = ">=1.23.5"
 types-pytz = ">=2022.1.1"
 
 [[package]]
@@ -2220,18 +2261,18 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "playwright"
-version = "1.45.1"
+version = "1.46.0"
 description = "A high-level API to automate web browsers"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "playwright-1.45.1-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:360607e37c00cdf97c74317f010e106ac4671aeaec6a192431dd71a30941da9d"},
-    {file = "playwright-1.45.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:20adc2abf164c5e8969f9066011b152e12c210549edec78cd05bd0e9cf4135b7"},
-    {file = "playwright-1.45.1-py3-none-macosx_11_0_universal2.whl", hash = "sha256:5f047cdc6accf4c7084dfc7587a2a5ef790cddc44cbb111e471293c5a91119db"},
-    {file = "playwright-1.45.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:f06f6659abe0abf263e5f6661d379fbf85c112745dd31d82332ceae914f58df7"},
-    {file = "playwright-1.45.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87dc3b3d17e12c68830c29b7fdf5e93315221bbb4c6090e83e967e154e2c1828"},
-    {file = "playwright-1.45.1-py3-none-win32.whl", hash = "sha256:2b8f517886ef1e2151982f6e7be84be3ef7d8135bdcf8ee705b4e4e99566e866"},
-    {file = "playwright-1.45.1-py3-none-win_amd64.whl", hash = "sha256:0d236cf427784e77de352ba1b7d700693c5fe455b8e5f627f6d84ad5b84b5bf5"},
+    {file = "playwright-1.46.0-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:fa60b95c16f6ce954636229a6c9dd885485326bca52d5ba20d02c0bc731a2bbb"},
+    {file = "playwright-1.46.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:73dcfc24834f4d004bc862ed0d74b4c1406793a8164734238ad035356fddc8ac"},
+    {file = "playwright-1.46.0-py3-none-macosx_11_0_universal2.whl", hash = "sha256:f5acfec1dbdc84d02dc696a17a344227e66c91413eab2036428dab405f195b82"},
+    {file = "playwright-1.46.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:3b418509f45879f1403d070858657a39bd0b333b23d92c37355682b671726df9"},
+    {file = "playwright-1.46.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23580f6a3f99757bb9779d29be37144cb9328cd9bafa178e6db5b3ab4b7faf4c"},
+    {file = "playwright-1.46.0-py3-none-win32.whl", hash = "sha256:85f44dd32a23d02850f0ff4dafe51580e5199531fff5121a62489d9838707782"},
+    {file = "playwright-1.46.0-py3-none-win_amd64.whl", hash = "sha256:f14a7fd7e24e954eec6ce61d787d499e41937ade811a0818e9a088aabe28ebb6"},
 ]
 
 [package.dependencies]
@@ -2665,29 +2706,29 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
 [[package]]
 name = "ruff"
-version = "0.5.6"
+version = "0.6.0"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "ruff-0.5.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:b652dc14f6ef5d1552821e006f747802cc32d98d5509349e168f6bf0ee9f8f42"},
-    {file = "ruff-0.5.6-py3-none-macosx_11_0_arm64.whl", hash = "sha256:80521b88d26a45e871f31e4b88938fd87db7011bb961d8afd2664982dfc3641a"},
-    {file = "ruff-0.5.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d9bc8f328a9f1309ae80e4d392836e7dbc77303b38ed4a7112699e63d3b066ab"},
-    {file = "ruff-0.5.6-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4d394940f61f7720ad371ddedf14722ee1d6250fd8d020f5ea5a86e7be217daf"},
-    {file = "ruff-0.5.6-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:111a99cdb02f69ddb2571e2756e017a1496c2c3a2aeefe7b988ddab38b416d36"},
-    {file = "ruff-0.5.6-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:e395daba77a79f6dc0d07311f94cc0560375ca20c06f354c7c99af3bf4560c5d"},
-    {file = "ruff-0.5.6-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c476acb43c3c51e3c614a2e878ee1589655fa02dab19fe2db0423a06d6a5b1b6"},
-    {file = "ruff-0.5.6-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e2ff8003f5252fd68425fd53d27c1f08b201d7ed714bb31a55c9ac1d4c13e2eb"},
-    {file = "ruff-0.5.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c94e084ba3eaa80c2172918c2ca2eb2230c3f15925f4ed8b6297260c6ef179ad"},
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-    {file = "ruff-0.5.6-py3-none-win_amd64.whl", hash = "sha256:d7fe7dccb1a89dc66785d7aa0ac283b2269712d8ed19c63af908fdccca5ccc1a"},
-    {file = "ruff-0.5.6-py3-none-win_arm64.whl", hash = "sha256:57c6c0dd997b31b536bff49b9eee5ed3194d60605a4427f735eeb1f9c1b8d264"},
-    {file = "ruff-0.5.6.tar.gz", hash = "sha256:07c9e3c2a8e1fe377dd460371c3462671a728c981c3205a5217291422209f642"},
+    {file = "ruff-0.6.0-py3-none-linux_armv6l.whl", hash = "sha256:92dcce923e5df265781e5fc76f9a1edad52201a7aafe56e586b90988d5239013"},
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+    {file = "ruff-0.6.0-py3-none-musllinux_1_2_i686.whl", hash = "sha256:eaaaf33ea4b3f63fd264d6a6f4a73fa224bbfda4b438ffea59a5340f4afa2bb5"},
+    {file = "ruff-0.6.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:7667ddd1fc688150a7ca4137140867584c63309695a30016880caf20831503a0"},
+    {file = "ruff-0.6.0-py3-none-win32.whl", hash = "sha256:ae48365aae60d40865a412356f8c6f2c0be1c928591168111eaf07eaefa6bea3"},
+    {file = "ruff-0.6.0-py3-none-win_amd64.whl", hash = "sha256:774032b507c96f0c803c8237ce7d2ef3934df208a09c40fa809c2931f957fe5e"},
+    {file = "ruff-0.6.0-py3-none-win_arm64.whl", hash = "sha256:a5366e8c3ae6b2dc32821749b532606c42e609a99b0ae1472cf601da931a048c"},
+    {file = "ruff-0.6.0.tar.gz", hash = "sha256:272a81830f68f9bd19d49eaf7fa01a5545c5a2e86f32a9935bb0e4bb9a1db5b8"},
 ]
 
 [[package]]
@@ -2958,22 +2999,22 @@ files = [
 
 [[package]]
 name = "types-lxml"
-version = "2024.4.14"
+version = "2024.8.7"
 description = "Complete lxml external type annotation"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types_lxml-2024.4.14-py3-none-any.whl", hash = "sha256:7e5f836067cde4fddce3cdbf2bac7192c764bf5ee6d3eb86c732ad1b84f265c5"},
-    {file = "types_lxml-2024.4.14.tar.gz", hash = "sha256:dd8105b579925af1b6ae77469f4fc835be3872b15e86cb46ad4fcc33b20c781d"},
+    {file = "types_lxml-2024.8.7-py3-none-any.whl", hash = "sha256:a0b8669b2dc57d47dcf31fbbee5007f8ed71b37406f4c7e5fa650e2480568eb9"},
+    {file = "types_lxml-2024.8.7.tar.gz", hash = "sha256:9ee5cdb1efd60f6eeb101b78f92591fd99202e4878b46d621b52f6cd67a9c80f"},
 ]
 
 [package.dependencies]
 cssselect = ">=1.2,<2.0"
 types-beautifulsoup4 = ">=4.12,<5.0"
-typing-extensions = ">=4.5,<5.0"
+typing_extensions = {version = ">=4.10,<5.0", markers = "python_version < \"3.13\""}
 
 [package.extras]
-test = ["beautifulsoup4 (>=4.8,<5.0)", "html5lib (==1.1)", "lxml (>=4.9)", "mypy (==1.9.*)", "pyright (>=1.1.289)", "pytest (>=7.0,<9)", "pytest-mypy-plugins (==1.11.1)", "tox (>=4.0,<5.0)", "typeguard (>=3.0,<5)"]
+test = ["beautifulsoup4 (>=4.8,<5.0)", "html5lib (==1.1)", "lxml (>=4.9)", "mypy (>=1.11.0,<1.12.0)", "pyright (>=1.1.351)", "pytest (>=7.0,<9)", "pytest-mypy-plugins (>=2.0)", "tox (>=4.0,<5.0)", "typeguard (>=3.0)", "typeguard (>=4.3.0)"]
 
 [[package]]
 name = "types-pillow"
@@ -3699,4 +3740,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "28227a16c0b1be294b0fcc699d3c5edbf4de7eb5499d8a06e81ce83b9cef6c0a"
+content-hash = "b153df349812da94c345ea3ea5587c26e1adf12efa9f98706658f20e01d119d4"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = 'nonebot-plugin-tetris-stats'
-version = '1.4.4'
+version = '1.4.9'
 description = '一款基于 NoneBot2 的用于查询 Tetris 相关游戏数据的插件'
 authors = ['scdhh <wallfjjd@gmail.com>']
 readme = 'README.md'
@@ -10,48 +10,48 @@ license = 'AGPL-3.0'
 
 [tool.poetry.dependencies]
 python = '^3.10'
-nonebot2 = { extras = ["fastapi"], version = "^2.3.0" }
-nonebot-plugin-alconna = ">=0.48.0"
-nonebot-plugin-apscheduler = ">=0.4,<0.6"
-nonebot-plugin-localstore = ">=0.6,<0.8"
-nonebot-plugin-orm = ">=0.1.1,<0.8.0"
-nonebot-plugin-session = "^0.3.1"
-nonebot-plugin-session-orm = "^0.2.0"
-nonebot-plugin-user = ">=0.2,<0.4"
-nonebot-plugin-userinfo = "^0.2.4"
-aiocache = "^0.12.2"
-aiofiles = ">=23.2.1,<25.0.0"
-async-lru = "^2.0.4"
-httpx = "^0.27.0"
-jinja2 = "^3.1.3"
+nonebot2 = { extras = ['fastapi'], version = '^2.3.0' }
+nonebot-plugin-alconna = '>=0.48.0'
+nonebot-plugin-apscheduler = '>=0.4,<0.6'
+nonebot-plugin-localstore = '>=0.6,<0.8'
+nonebot-plugin-orm = '>=0.1.1,<0.8.0'
+nonebot-plugin-session = '^0.3.1'
+nonebot-plugin-session-orm = '^0.2.0'
+nonebot-plugin-user = '>=0.2,<0.5'
+nonebot-plugin-userinfo = '^0.2.4'
+aiocache = '^0.12.2'
+aiofiles = '>=23.2.1,<25.0.0'
+async-lru = '^2.0.4'
+httpx = '^0.27.0'
+jinja2 = '^3.1.3'
 lxml = '^5.1.0'
 pandas = '>=1.4.3,<3.0.0'
-pillow = "^10.3.0"
+pillow = '^10.3.0'
 playwright = '^1.41.2'
-rich = "^13.7.1"
+rich = '^13.7.1'
 ujson = '^5.9.0'
-zstandard = ">=0.22,<0.24"
+zstandard = '>=0.22,<0.24'
 
 [tool.poetry.group.dev.dependencies]
 mypy = '>=1.9'
 ruff = '>=0.3.0'
-types-aiofiles = ">=23.2.0.20240106,<25.0.0.0"
-types-lxml = "^2024.2.9"
-types-pillow = "^10.2.0.20240423"
+types-aiofiles = '>=23.2.0.20240106,<25.0.0.0'
+types-lxml = '^2024.2.9'
+types-pillow = '^10.2.0.20240423'
 types-ujson = '^5.9.0'
 pandas-stubs = '>=1.5.2,<3.0.0'
-nonebot2 = { extras = ["all"], version = "^2.3.0" }
-nonebot-adapter-discord = "^0.1.3"
-nonebot-adapter-kaiheila = "^0.3.4"
-nonebot-adapter-onebot = "^2.4.1"
-nonebot-adapter-qq = "^1.4.4"
-nonebot-adapter-satori = ">=0.11.4,<0.13.0"
-nonebot-plugin-orm = { extras = ["default"], version = ">=0.3,<0.8" }
+nonebot2 = { extras = ['all'], version = '^2.3.0' }
+nonebot-adapter-discord = '^0.1.3'
+nonebot-adapter-kaiheila = '^0.3.4'
+nonebot-adapter-onebot = '^2.4.1'
+nonebot-adapter-qq = '^1.4.4'
+nonebot-adapter-satori = '>=0.11.4,<0.13.0'
+nonebot-plugin-orm = { extras = ['default'], version = '>=0.3,<0.8' }
 
 [tool.poetry.group.debug.dependencies]
-memory-profiler = "^0.61.0"
+memory-profiler = '^0.61.0'
 objprint = '^0.2.2'
-viztracer = "^0.16.2"
+viztracer = '^0.16.2'
 
 [build-system]
 requires = ['poetry-core>=1.0.0']
@@ -59,7 +59,7 @@ build-backend = 'poetry.core.masonry.api'
 
 [tool.ruff]
 line-length = 120
-target-version = "py310"
+target-version = 'py310'
 
 [tool.ruff.lint]
 select = [
@@ -88,10 +88,12 @@ select = [
     'ICN',   # flake8-import-conventions
     'PIE',   # flake8-pie
     'T20',   # flake8-print
+    'PYI',   # flake8-pyi
     'Q',     # flake8-quotes
     'RSE',   # flake8-raise
     'RET',   # flake8-return
     'SLF',   # flake8-self
+    'SLOT',  # flake8-slots
     'SIM',   # flake8-simplify
     'TID',   # flake8-tidy-imports
     'TCH',   # flake8-type-checking
@@ -103,6 +105,7 @@ select = [
     'PL',    # pylint
     'TRY',   # tryceratops
     'FLY',   # flynt
+    'FAST',  # FastAPI
     'PERF',  # Perflint
     'FURB',  # refurb
     'RUF',   # Ruff-specific rules
@@ -123,11 +126,10 @@ flake8-quotes = { inline-quotes = 'single', multiline-quotes = 'double' }
 mypy-init-return = true
 
 [tool.ruff.lint.flake8-builtins]
-builtins-ignorelist = ["id"]
+builtins-ignorelist = ['id']
 
 [tool.ruff.format]
 quote-style = 'single'
 
 [tool.nonebot]
 plugins = ['nonebot_plugin_tetris_stats']
-# plugins = ['test_datetime']