🔖 1.0.0.a9

Bumps [nonebot-adapter-satori](https://github.com/nonebot/adapter-satori) from 0.7.0 to 0.8.0.
- [Release notes](https://github.com/nonebot/adapter-satori/releases)
- [Commits](https://github.com/nonebot/adapter-satori/compare/v0.7.0...v0.8.0)

---
updated-dependencies:
- dependency-name: nonebot-adapter-satori
  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>

.github/workflows/Release.yml

@@ -44,6 +44,6 @@ jobs:
         uses: pypa/gh-action-pypi-publish@release/v1
 
       - name: Publish Package to GitHub Release
-        run: gh release upload --clobber ${{ steps.version.outputs.TAG_NAME }} dist/*.tar.gz dist/*.whl
+        run: gh release create ${{ steps.version.outputs.TAG_NAME }} dist/*.tar.gz dist/*.whl -t "🔖 ${{ steps.version.outputs.TAG_NAME }}" --generate-notes
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.gitignore

@@ -5,6 +5,6 @@ Untitled*
 *copy*
 .vscode
 *dev*
-*cache*
+*_cache*
 *backup*
 *.pyc

nonebot_plugin_tetris_stats/config/migrations/9f6582279ce2_recreate_historical_data.py

@@ -0,0 +1,112 @@
+"""Recreate HistoricalData
+
+迁移 ID: 9f6582279ce2
+父迁移: 9cd1647db502
+创建时间: 2023-11-21 08:35:50.393246
+
+"""
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.dialects import sqlite
+
+from nonebot_plugin_tetris_stats.db.models import PydanticType
+
+revision: str = '9f6582279ce2'
+down_revision: str | Sequence[str] | None = '9cd1647db502'
+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_historicaldata', schema=None) as batch_op:
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_command_type')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_source_account')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_source_type')
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_historicaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('bot_platform', sa.String(length=32), nullable=True),
+        sa.Column('bot_account', sa.String(), nullable=True),
+        sa.Column('source_type', sa.String(length=32), nullable=True),
+        sa.Column('source_account', sa.String(), nullable=True),
+        sa.Column('message', sa.PickleType(), nullable=True),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('command_type', sa.String(length=16), nullable=False),
+        sa.Column('command_args', sa.JSON(), nullable=False),
+        sa.Column('game_user', PydanticType(), nullable=False),
+        sa.Column('processed_data', PydanticType(), nullable=False),
+        sa.Column('finish_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_historicaldata')),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'), ['command_type'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'), ['game_platform'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'), ['source_account'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_type'), ['source_type'], unique=False
+        )
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_type'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_historicaldata',
+        sa.Column('id', sa.INTEGER(), nullable=False),
+        sa.Column('trigger_time', sa.DATETIME(), nullable=False),
+        sa.Column('bot_platform', sa.VARCHAR(length=32), nullable=True),
+        sa.Column('bot_account', sa.VARCHAR(), nullable=True),
+        sa.Column('source_type', sa.VARCHAR(length=32), nullable=True),
+        sa.Column('source_account', sa.VARCHAR(), nullable=True),
+        sa.Column('message', sa.BLOB(), nullable=True),
+        sa.Column('game_platform', sa.VARCHAR(length=32), nullable=False),
+        sa.Column('command_type', sa.VARCHAR(length=16), nullable=False),
+        sa.Column('command_args', sqlite.JSON(), nullable=False),
+        sa.Column('game_user', sa.BLOB(), nullable=False),
+        sa.Column('processed_data', sa.BLOB(), nullable=False),
+        sa.Column('finish_time', sa.DATETIME(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name='pk_nonebot_plugin_tetris_stats_historicaldata'),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_source_type', ['source_type'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_source_account', ['source_account'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_game_platform', ['game_platform'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_command_type', ['command_type'], unique=False
+        )
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/db/models.py

@@ -1,14 +1,32 @@
 from datetime import datetime
+from typing import Any
 
 from nonebot.adapters import Message
 from nonebot_plugin_orm import Model
-from sqlalchemy import JSON, DateTime, PickleType, String
+from pydantic import BaseModel
+from sqlalchemy import JSON, DateTime, Dialect, PickleType, String, TypeDecorator
 from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
 
-from ..game_data_processor import ProcessedData, User
+from ..game_data_processor.schemas import BaseProcessedData, BaseUser
 from ..utils.typing import CommandType, GameType
 
 
+class PydanticType(TypeDecorator):
+    impl = JSON
+
+    def process_bind_param(self, value: Any | None, dialect: Dialect) -> str:  # noqa: ANN401
+        # 将 Pydantic 模型实例转换为 JSON
+        if isinstance(value, BaseModel):
+            return value.json()
+        raise TypeError
+
+    def process_result_value(self, value: Any | None, dialect: Dialect) -> BaseModel:  # noqa: ANN401
+        # 将 JSON 转换回 Pydantic 模型实例
+        if isinstance(value, str | bytes):
+            return BaseModel.parse_raw(value)
+        raise TypeError
+
+
 class Bind(MappedAsDataclass, Model):
     id: Mapped[int] = mapped_column(init=False, primary_key=True)
     chat_platform: Mapped[str] = mapped_column(String(32), index=True)
@@ -28,6 +46,6 @@ class HistoricalData(MappedAsDataclass, Model):
     game_platform: Mapped[GameType] = mapped_column(String(32), index=True, init=False)
     command_type: Mapped[CommandType] = mapped_column(String(16), index=True, init=False)
     command_args: Mapped[list[str]] = mapped_column(JSON, init=False)
-    game_user: Mapped[User] = mapped_column(PickleType, init=False)
-    processed_data: Mapped[ProcessedData] = mapped_column(PickleType, init=False)
+    game_user: Mapped[BaseUser] = mapped_column(PydanticType, init=False)
+    processed_data: Mapped[BaseProcessedData] = mapped_column(PydanticType, init=False)
     finish_time: Mapped[datetime] = mapped_column(DateTime, init=False)

nonebot_plugin_tetris_stats/game_data_processor/__init__.py

@@ -1,5 +1,4 @@
 from abc import ABC, abstractmethod
-from dataclasses import dataclass
 from datetime import UTC, datetime
 from typing import Any
 
@@ -7,25 +6,11 @@ from nonebot.matcher import Matcher
 from nonebot_plugin_alconna import AlcMatches, AlconnaMatcher
 
 from ..utils.exception import MessageFormatError
+from ..utils.recorder import Recorder
 from ..utils.typing import CommandType, GameType
-
-
-@dataclass
-class User:
-    """游戏用户"""
-
-
-@dataclass
-class RawResponse:
-    """原始请求数据"""
-
-
-@dataclass
-class ProcessedData:
-    """处理/验证后的数据"""
-
-
-from ..utils.recorder import Recorder  # noqa: E402 避免循环导入
+from .schemas import BaseProcessedData as ProcessedData
+from .schemas import BaseRawResponse as RawResponse
+from .schemas import BaseUser as User
 
 
 class Processor(ABC):
@@ -90,7 +75,7 @@ def add_default_handlers(matcher: type[AlconnaMatcher]) -> None:
 
     @matcher.handle()
     async def _(matcher: Matcher, matches: AlcMatches):
-        if matches.head_matched and matches.options != {}:
+        if matches.head_matched and matches.options != {} or matches.main_args == {}:
             await matcher.finish(
                 (f'{matches.error_info!r}\n' if matches.error_info is not None else '')
                 + f'输入"{matches.header_result} --help"查看帮助'

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/__init__.py

@@ -1,12 +1,12 @@
-from datetime import timedelta
-from typing import Any
+from datetime import UTC, datetime, timedelta
+from zoneinfo import ZoneInfo
 
-from arclet.alconna import Alconna, Arg, ArgFlag, Args, CommandMeta, Option
+from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
 from nonebot.adapters import Bot, Event
 from nonebot.matcher import Matcher
 from nonebot_plugin_alconna import At, on_alconna
 from nonebot_plugin_orm import get_session
-from sqlalchemy import select
+from sqlalchemy import func, select
 
 from ...db import query_bind_info
 from ...utils.exception import NeedCatchError
@@ -17,7 +17,7 @@ from .. import add_default_handlers
 from ..constant import BIND_COMMAND, QUERY_COMMAND
 from .constant import GAME_TYPE
 from .model import IORank
-from .processor import Processor, User, check_rank_data, identify_user_info
+from .processor import Processor, User, identify_user_info
 from .typing import Rank
 
 alc = on_alconna(
@@ -67,7 +67,7 @@ alc = on_alconna(
             dest='rank',
             help_text='查询 IO 段位信息',
         ),
-        Arg('other', Any, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
+        Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
         meta=CommandMeta(
             description='查询 TETR.IO 的信息',
             example='io绑定scdhh\nio查我\niorankx',
@@ -133,21 +133,32 @@ async def _(event: Event, matcher: Matcher, account: User):
 
 
 @alc.assign('rank')
-async def _(event: Event, matcher: Matcher, rank: Rank):
+async def _(matcher: Matcher, rank: Rank):
     if rank == 'z':
         await matcher.finish('暂不支持查询未知段位')
-    try:
-        await check_rank_data()
-    except NeedCatchError as e:
-        await matcher.finish(str(f'段位信息获取失败\n{e}'))
     async with get_session() as session:
-        data = (
-            await session.scalars(select(IORank).where(IORank.rank == rank).order_by(IORank.id.desc()).limit(5))
-        ).all()
-    latest_data = data[0]
-    message = f'{rank.upper()} 段 分数线 {latest_data.tr_line:.2f} TR, {latest_data.player_count} 名玩家\n'
-    if len(data) > 1:
-        message += f'对比 {(latest_data.create_time-data[-1].create_time).total_seconds()/3600:.2f} 小时前趋势: {f"↑{difference:.2f}" if (difference:=latest_data.tr_line-data[-1].tr_line) > 0 else f"↓{-difference:.2f}" if difference < 0 else "→"}'
+        latest_data = (
+            await session.scalars(select(IORank).where(IORank.rank == rank).order_by(IORank.id.desc()).limit(1))
+        ).one()
+        compare_data = (
+            await session.scalars(
+                select(IORank)
+                .where(IORank.rank == rank)
+                .order_by(
+                    func.abs(
+                        func.julianday(IORank.create_time)
+                        - func.julianday(latest_data.create_time - timedelta(hours=24))
+                    )
+                )
+                .limit(1)
+            )
+        ).one()
+    message = ''
+    if (datetime.now(UTC) - latest_data.create_time.replace(tzinfo=UTC)) > timedelta(hours=7):
+        message += 'Warning: 数据超过7小时未更新, 请联系Bot主人查看后台\n'
+    message += f'{rank.upper()} 段 分数线 {latest_data.tr_line:.2f} TR, {latest_data.player_count} 名玩家\n'
+    if compare_data.id != latest_data.id:
+        message += f'对比 {(latest_data.create_time-compare_data.create_time).total_seconds()/3600:.2f} 小时前趋势: {f"↑{difference:.2f}" if (difference:=latest_data.tr_line-compare_data.tr_line) > 0 else f"↓{-difference:.2f}" if difference < 0 else "→"}'
     else:
         message += '暂无对比数据'
     avg = get_metrics(pps=latest_data.avg_pps, apm=latest_data.avg_apm, vs=latest_data.avg_vs)
@@ -172,7 +183,7 @@ async def _(event: Event, matcher: Matcher, rank: Rank):
         f'APM: {latest_data.high_apm[1]} By: {latest_data.high_apm[0]["name"].upper()}\n'
         f'ADPM: {max_vs.adpm} ( {max_vs.vs}vs ) By: {latest_data.high_vs[0]["name"].upper()}\n'
         '\n'
-        f'数据更新时间: {(latest_data.create_time+timedelta(hours=8)).strftime("%Y-%m-%d %H:%M:%S")}'
+        f'数据更新时间: {latest_data.create_time.replace(tzinfo=UTC).astimezone(ZoneInfo("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")}'
     )
     await matcher.finish(message)
 

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/cache.py

@@ -0,0 +1,28 @@
+from datetime import UTC, datetime
+
+from aiocache import Cache as ACache  # type: ignore[import-untyped]
+from nonebot.log import logger
+from pydantic import parse_raw_as
+
+from ...utils.request import Request
+from .schemas.base import FailedModel, SuccessModel
+
+
+class Cache:
+    cache = ACache(ACache.MEMORY)
+
+    @classmethod
+    async def get(cls, url: str) -> bytes:
+        cached_data = await cls.cache.get(url)
+        if cached_data is None:
+            response_data = await Request.request(url)
+            parsed_data: SuccessModel | FailedModel = parse_raw_as(SuccessModel | FailedModel, response_data)  # type: ignore[arg-type]
+            if isinstance(parsed_data, SuccessModel):
+                await cls.cache.add(
+                    url,
+                    response_data,
+                    (parsed_data.cache.cached_until - datetime.now(UTC)).total_seconds(),
+                )
+            return response_data
+        logger.debug(f'{url}: Cache hit!')
+        return cached_data

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/processor.py

@@ -1,6 +1,5 @@
 from collections import defaultdict
 from collections.abc import Callable
-from dataclasses import asdict, dataclass
 from datetime import UTC, datetime, timedelta
 from math import floor
 from re import match
@@ -14,23 +13,20 @@ from sqlalchemy import select
 
 from ...db import create_or_update_bind
 from ...utils.exception import MessageFormatError, RequestError, WhatTheFuckError
-from ...utils.request import Request, splice_url
+from ...utils.request import splice_url
+from ...utils.retry import retry
 from ...utils.typing import GameType
-from .. import ProcessedData as ProcessedDataMeta
 from .. import Processor as ProcessorMeta
-from .. import RawResponse as RawResponseMeta
-from .. import User as UserMeta
+from .cache import Cache
 from .constant import BASE_URL, GAME_TYPE, RANK_PERCENTILE
 from .model import IORank
 from .schemas.league_all import FailedModel as LeagueAllFailed
 from .schemas.league_all import LeagueAll
 from .schemas.league_all import ValidUser as LeagueAllUser
+from .schemas.response import ProcessedData, RawResponse
+from .schemas.user import User
 from .schemas.user_info import FailedModel as InfoFailed
-from .schemas.user_info import (
-    NeverPlayedLeague,
-    NeverRatedLeague,
-    UserInfo,
-)
+from .schemas.user_info import NeverPlayedLeague, NeverRatedLeague, UserInfo
 from .schemas.user_info import SuccessModel as InfoSuccess
 from .schemas.user_records import FailedModel as RecordsFailed
 from .schemas.user_records import SoloRecord, UserRecords
@@ -40,24 +36,6 @@ from .typing import Rank
 driver = get_driver()
 
 
-@dataclass
-class User(UserMeta):
-    ID: str | None = None
-    name: str | None = None
-
-
-@dataclass
-class RawResponse(RawResponseMeta):
-    user_info: bytes | None = None
-    user_records: bytes | None = None
-
-
-@dataclass
-class ProcessedData(ProcessedDataMeta):
-    user_info: InfoSuccess | None = None
-    user_records: RecordsSuccess | None = None
-
-
 def identify_user_info(info: str) -> User | MessageFormatError:
     if match(r'^[a-f0-9]{24}$', info):
         return User(ID=info)
@@ -113,7 +91,7 @@ class Processor(ProcessorMeta):
     async def get_user_info(self) -> InfoSuccess:
         """获取用户数据"""
         if self.processed_data.user_info is None:
-            self.raw_response.user_info = await Request.request(
+            self.raw_response.user_info = await Cache.get(
                 splice_url([BASE_URL, 'users/', f'{self.user.ID or self.user.name}'])
             )
             user_info: UserInfo = parse_raw_as(UserInfo, self.raw_response.user_info)  # type: ignore[arg-type]
@@ -125,20 +103,10 @@ class Processor(ProcessorMeta):
     async def get_user_records(self) -> RecordsSuccess:
         """获取Solo数据"""
         if self.processed_data.user_records is None:
-            self.raw_response.user_records = await Request.request(
-                splice_url(
-                    [
-                        BASE_URL,
-                        'users/',
-                        f'{self.user.ID or self.user.name}/',
-                        'records',
-                    ]
-                )
-            )
-            user_records: UserRecords = parse_raw_as(
-                UserRecords,  # type: ignore[arg-type]
-                self.raw_response.user_records,
+            self.raw_response.user_records = await Cache.get(
+                splice_url([BASE_URL, 'users/', f'{self.user.ID or self.user.name}/', 'records'])
             )
+            user_records: UserRecords = parse_raw_as(UserRecords, self.raw_response.user_records)  # type: ignore[arg-type]
             if isinstance(user_records, RecordsFailed):
                 raise RequestError(f'用户Solo数据请求错误:\n{user_records.error}')
             self.processed_data.user_records = user_records
@@ -155,12 +123,13 @@ class Processor(ProcessorMeta):
         else:
             if isinstance(league, NeverRatedLeague):
                 ret_message += f'用户 {user_name} 暂未完成定级赛, 最近十场的数据:'
-            elif league.rank == 'z':
-                ret_message += f'用户 {user_name} 暂无段位, {round(league.rating,2)} TR'
             else:
-                ret_message += (
-                    f'{league.rank.upper()} 段用户 {user_name} {round(league.rating,2)} TR (#{league.standing})'
-                )
+                if league.rank == 'z':
+                    ret_message += f'用户 {user_name} 暂无段位, {round(league.rating,2)} TR'
+                else:
+                    ret_message += (
+                        f'{league.rank.upper()} 段用户 {user_name} {round(league.rating,2)} TR (#{league.standing})'
+                    )
                 ret_message += f', 段位分 {round(league.glicko,2)}±{round(league.rd,2)}, 最近十场的数据:'
             lpm = league.pps * 24
             ret_message += f"\nL'PM: {round(lpm, 2)} ( {league.pps} pps )"
@@ -185,13 +154,11 @@ class Processor(ProcessorMeta):
 
 
 @scheduler.scheduled_job('cron', hour='0,6,12,18', minute=0)
+@retry(exception_type=RequestError, delay=timedelta(minutes=15))
 async def get_io_rank_data() -> None:
-    league_all: LeagueAll = parse_raw_as(
-        LeagueAll,  # type: ignore[arg-type]
-        await Request.request(splice_url([BASE_URL, 'users/lists/league/all'])),
-    )
+    league_all: LeagueAll = parse_raw_as(LeagueAll, await Cache.get(splice_url([BASE_URL, 'users/lists/league/all'])))  # type: ignore[arg-type]
     if isinstance(league_all, LeagueAllFailed):
-        raise RequestError(f'用户Solo数据请求错误:\n{league_all.error}')
+        raise RequestError(f'排行榜数据请求错误:\n{league_all.error}')
 
     def pps(user: LeagueAllUser) -> float:
         return user.league.pps
@@ -214,7 +181,7 @@ async def get_io_rank_data() -> None:
         sort: Callable[[list[LeagueAllUser], Callable[[LeagueAllUser], float]], LeagueAllUser],
     ) -> tuple[dict[str, str], float]:
         user = sort(users, field)
-        return asdict(User(ID=user.id, name=user.username)), field(user)
+        return User(ID=user.id, name=user.username).dict(), field(user)
 
     users = [i for i in league_all.data.users if isinstance(i, LeagueAllUser)]
     rank_to_users: defaultdict[Rank, list[LeagueAllUser]] = defaultdict(list)
@@ -247,8 +214,8 @@ async def get_io_rank_data() -> None:
 
 
 @driver.on_startup
-async def check_rank_data() -> None:
+async def _() -> None:
     async with get_session() as session:
         latest_time = await session.scalar(select(IORank.create_time).order_by(IORank.id.desc()).limit(1))
-        if latest_time is None or datetime.now(tz=UTC) - latest_time.replace(tzinfo=UTC) > timedelta(hours=6):
-            await get_io_rank_data()
+    if latest_time is None or datetime.now(tz=UTC) - latest_time.replace(tzinfo=UTC) > timedelta(hours=6):
+        await get_io_rank_data()

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/response.py

@@ -0,0 +1,14 @@
+from ... import ProcessedData as ProcessedDataMeta
+from ... import RawResponse as RawResponseMeta
+from .user_info import SuccessModel as InfoSuccess
+from .user_records import SuccessModel as RecordsSuccess
+
+
+class RawResponse(RawResponseMeta):
+    user_info: bytes | None = None
+    user_records: bytes | None = None
+
+
+class ProcessedData(ProcessedDataMeta):
+    user_info: InfoSuccess | None = None
+    user_records: RecordsSuccess | None = None

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/user.py

@@ -0,0 +1,12 @@
+from ...schemas import BaseUser
+
+
+class User(BaseUser):
+    ID: str | None = None
+    name: str | None = None
+
+    @property
+    def unique_identifier(self) -> str:
+        if self.ID is None:
+            raise ValueError('不完整的User!')
+        return self.ID

nonebot_plugin_tetris_stats/game_data_processor/schemas.py

@@ -0,0 +1,25 @@
+from abc import ABC, abstractmethod
+
+from pydantic import BaseModel
+
+
+class BaseUser(ABC, BaseModel):
+    """游戏用户"""
+
+    def __eq__(self, __value: object) -> bool:
+        if isinstance(__value, BaseUser):
+            return self.unique_identifier == __value.unique_identifier
+        return False
+
+    @property
+    @abstractmethod
+    def unique_identifier(self) -> str:
+        raise NotImplementedError
+
+
+class BaseRawResponse(BaseModel):
+    """原始请求数据"""
+
+
+class BaseProcessedData(BaseModel):
+    """处理/验证后的数据"""

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/__init__.py

@@ -1,6 +1,4 @@
-from typing import Any
-
-from arclet.alconna import Alconna, Arg, ArgFlag, Args, CommandMeta, Option
+from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
 from nonebot.adapters import Bot, Event
 from nonebot.matcher import Matcher
 from nonebot_plugin_alconna import At, on_alconna
@@ -54,7 +52,7 @@ alc = on_alconna(
             dest='query',
             help_text='查询 TOP 游戏信息',
         ),
-        Arg('other', Any, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
+        Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
         meta=CommandMeta(
             description='查询 TetrisOnline波兰服 的信息',
             example='top绑定scdhh\ntop查我',

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/processor.py

@@ -13,26 +13,18 @@ from ...db import create_or_update_bind
 from ...utils.exception import MessageFormatError, RequestError
 from ...utils.request import Request, splice_url
 from ...utils.typing import GameType
-from .. import ProcessedData as ProcessedDataMeta
 from .. import Processor as ProcessorMeta
-from .. import RawResponse as RawResponseMeta
-from .. import User as UserMeta
+from ..schemas import BaseUser
 from .constant import BASE_URL, GAME_TYPE
+from .schemas.response import ProcessedData, RawResponse
 
 
-@dataclass
-class User(UserMeta):
+class User(BaseUser):
     name: str
 
-
-@dataclass
-class RawResponse(RawResponseMeta):
-    user_profile: bytes | None = None
-
-
-@dataclass
-class ProcessedData(ProcessedDataMeta):
-    user_profile: str | None = None
+    @property
+    def unique_identifier(self) -> str:
+        return self.name
 
 
 @dataclass

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/schemas/response.py

@@ -0,0 +1,9 @@
+from ...schemas import BaseProcessedData, BaseRawResponse
+
+
+class RawResponse(BaseRawResponse):
+    user_profile: bytes | None = None
+
+
+class ProcessedData(BaseProcessedData):
+    user_profile: str | None = None

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/__init__.py

@@ -1,6 +1,4 @@
-from typing import Any
-
-from arclet.alconna import Alconna, Arg, ArgFlag, Args, CommandMeta, Option
+from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
 from nonebot.adapters import Bot, Event
 from nonebot.matcher import Matcher
 from nonebot_plugin_alconna import At, on_alconna
@@ -55,7 +53,7 @@ alc = on_alconna(
             dest='query',
             help_text='查询 茶服 游戏信息',
         ),
-        Arg('other', Any),
+        Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
         meta=CommandMeta(
             description='查询 TetrisOnline茶服 的信息',
             example='茶服查我',

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/processor.py

@@ -1,6 +1,5 @@
 from dataclasses import dataclass
 from re import match
-from typing import Any
 from urllib.parse import urlencode
 
 from nonebot_plugin_orm import get_session
@@ -10,32 +9,24 @@ from ...db import create_or_update_bind
 from ...utils.exception import MessageFormatError, RequestError
 from ...utils.request import Request, splice_url
 from ...utils.typing import GameType
-from .. import ProcessedData as ProcessedDataMeta
 from .. import Processor as ProcessorMeta
-from .. import RawResponse as RawResponseMeta
-from .. import User as UserMeta
+from ..schemas import BaseUser
 from .constant import BASE_URL, GAME_TYPE
+from .schemas.response import ProcessedData, RawResponse
 from .schemas.user_info import SuccessModel as InfoSuccess
 from .schemas.user_info import UserInfo
 from .schemas.user_profile import UserProfile
 
 
-@dataclass
-class User(UserMeta):
+class User(BaseUser):
     teaid: str | None = None
     name: str | None = None
 
-
-@dataclass
-class RawResponse(RawResponseMeta):
-    user_profile: dict[frozenset[tuple[str, Any]], bytes]
-    user_info: bytes | None = None
-
-
-@dataclass
-class ProcessedData(ProcessedDataMeta):
-    user_profile: dict[frozenset[tuple[str, Any]], UserProfile]
-    user_info: InfoSuccess | None = None
+    @property
+    def unique_identifier(self) -> str:
+        if self.teaid is None:
+            raise ValueError('不完整的User!')
+        return self.teaid
 
 
 @dataclass
@@ -135,23 +126,23 @@ class Processor(ProcessorMeta):
             self.processed_data.user_info = user_info
         return self.processed_data.user_info
 
-    async def get_user_profile(self, other_parameter: dict[str, Any] | None = None) -> UserProfile:
+    async def get_user_profile(self, other_parameter: dict[str, str | bytes] | None = None) -> UserProfile:
         """获取用户数据"""
         if other_parameter is None:
             other_parameter = {}
-        fset = frozenset(other_parameter.items())
-        if self.processed_data.user_profile.get(fset) is None:
-            self.raw_response.user_profile[fset] = await Request.request(
+        params = urlencode(dict(sorted(other_parameter.items())))
+        if self.processed_data.user_profile.get(params) is None:
+            self.raw_response.user_profile[params] = await Request.request(
                 splice_url(
                     [
                         BASE_URL,
                         'getProfile',
-                        f'?{urlencode({"id":self.user.teaid or self.user.name},**other_parameter)}',
+                        f'?{urlencode({"id":self.user.teaid or self.user.name,**other_parameter})}',
                     ]
                 )
             )
-            self.processed_data.user_profile[fset] = UserProfile.parse_raw(self.raw_response.user_profile[fset])
-        return self.processed_data.user_profile[fset]
+            self.processed_data.user_profile[params] = UserProfile.parse_raw(self.raw_response.user_profile[params])
+        return self.processed_data.user_profile[params]
 
     async def get_game_data(self) -> GameData | None:
         """获取游戏数据"""

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/schemas/response.py

@@ -0,0 +1,13 @@
+from ...schemas import BaseProcessedData, BaseRawResponse
+from .user_info import SuccessModel as InfoSuccess
+from .user_profile import UserProfile
+
+
+class RawResponse(BaseRawResponse):
+    user_profile: dict[str, bytes]
+    user_info: bytes | None = None
+
+
+class ProcessedData(BaseProcessedData):
+    user_profile: dict[str, UserProfile]
+    user_info: InfoSuccess | None = None

nonebot_plugin_tetris_stats/utils/retry.py

@@ -0,0 +1,37 @@
+from asyncio import sleep
+from collections.abc import Awaitable, Callable
+from datetime import timedelta
+from functools import wraps
+from typing import TypeVar, cast
+
+from nonebot.log import logger
+
+T = TypeVar('T')
+
+
+def retry(
+    max_attempts: int = 3,
+    exception_type: type[BaseException] | tuple[type[BaseException], ...] = Exception,
+    delay: timedelta | None = None,
+) -> Callable[[Callable[..., Awaitable[T]]], Callable[..., Awaitable[T]]]:
+    def decorator(func: Callable[..., Awaitable[T]]) -> Callable[..., Awaitable[T]]:
+        @wraps(func)
+        async def wrapper(*args, **kwargs) -> T:  # noqa: ANN002, ANN003
+            attempts = 0
+            while attempts < max_attempts + 1:
+                try:
+                    return await func(*args, **kwargs)
+                except exception_type as e:  # noqa: PERF203
+                    logger.exception(e)
+                    attempts += 1
+                    if attempts <= max_attempts:
+                        if delay is not None:
+                            await sleep(delay.total_seconds())
+                        logger.debug(f'Retrying: {func.__name__} ({attempts}/{max_attempts})')
+                        continue
+                    raise
+            raise RuntimeError('Unexpectedly reached the end of the retry loop')
+
+        return cast(Callable[..., Awaitable[T]], wrapper)
+
+    return decorator

poetry.lock

@@ -1,5 +1,21 @@
 # This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
+[[package]]
+name = "aiocache"
+version = "0.12.2"
+description = "multi backend asyncio cache"
+optional = false
+python-versions = "*"
+files = [
+    {file = "aiocache-0.12.2-py2.py3-none-any.whl", hash = "sha256:9b6fa30634ab0bfc3ecc44928a91ff07c6ea16d27d55469636b296ebc6eb5918"},
+    {file = "aiocache-0.12.2.tar.gz", hash = "sha256:b41c9a145b050a5dcbae1599f847db6dd445193b1f3bd172d8e0fe0cb9e96684"},
+]
+
+[package.extras]
+memcached = ["aiomcache (>=0.5.2)"]
+msgpack = ["msgpack (>=0.5.5)"]
+redis = ["redis (>=4.2.0)"]
+
 [[package]]
 name = "aiofiles"
 version = "23.2.1"
@@ -864,13 +880,13 @@ typing-extensions = ">=4.0.0,<5.0.0"
 
 [[package]]
 name = "nonebot-adapter-satori"
-version = "0.7.0"
+version = "0.8.0"
 description = "Satori Protocol Adapter for Nonebot2"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "nonebot_adapter_satori-0.7.0-py3-none-any.whl", hash = "sha256:14a6e846c0f4e46077c28ca403e5f16d18162b63b6aa4eb68f9e6f52153ab138"},
-    {file = "nonebot_adapter_satori-0.7.0.tar.gz", hash = "sha256:0f62b87182359beaf477e77b12a0ca665273de7a24833695514ff18817b23618"},
+    {file = "nonebot_adapter_satori-0.8.0-py3-none-any.whl", hash = "sha256:25d9726a961b73b6900a4dba3a8ec4f5d228a6cb96078b542379c9d6c9d3cefe"},
+    {file = "nonebot_adapter_satori-0.8.0.tar.gz", hash = "sha256:267c5b708ec2dd77b405d3ec779e817506e6d6914cc06688b529b43fe4288727"},
 ]
 
 [package.dependencies]
@@ -878,13 +894,13 @@ nonebot2 = ">=2.1.0"
 
 [[package]]
 name = "nonebot-plugin-alconna"
-version = "0.33.3"
+version = "0.33.6"
 description = "Alconna Adapter for Nonebot"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "nonebot_plugin_alconna-0.33.3-py3-none-any.whl", hash = "sha256:f04baa7b97a431c815b070bf12abfd5590d2763531eec4464798af2a1e907608"},
-    {file = "nonebot_plugin_alconna-0.33.3.tar.gz", hash = "sha256:8be755008fcd7277b23f9594135c9f5c2de3bf0856cede60f5baee6f22053afc"},
+    {file = "nonebot_plugin_alconna-0.33.6-py3-none-any.whl", hash = "sha256:89989dd6dc1bccd8a1603159b57e9e96da438eb0bbbdbbcd2bfcf747594e12c3"},
+    {file = "nonebot_plugin_alconna-0.33.6.tar.gz", hash = "sha256:54e761ef621c8285cd9ea2f81324f9f52f6fb6292d3ddb87387dbdcaeaa8dc1b"},
 ]
 
 [package.dependencies]
@@ -926,13 +942,13 @@ typing-extensions = ">=4.0.0"
 
 [[package]]
 name = "nonebot-plugin-orm"
-version = "0.5.0"
+version = "0.6.0"
 description = "SQLAlchemy ORM support for nonebot"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "nonebot_plugin_orm-0.5.0-py3-none-any.whl", hash = "sha256:e8d0e3b11c592e8d7cef3d635f500a5f7bf45b042eb225907c40dd23e4e2b2bd"},
-    {file = "nonebot_plugin_orm-0.5.0.tar.gz", hash = "sha256:2bf51bdc30ee3dc797c5032dc92dbcf34d7eb42d09dd6b527228033807d33a56"},
+    {file = "nonebot_plugin_orm-0.6.0-py3-none-any.whl", hash = "sha256:482f35d102749eda93cd635608ec79e81718d080a80fa325c24d8fa7316f7d83"},
+    {file = "nonebot_plugin_orm-0.6.0.tar.gz", hash = "sha256:e1b4db52da60b53f33eac95bb4b9875d7000d71f47ec6a034aa908adde41c33e"},
 ]
 
 [package.dependencies]
@@ -943,7 +959,7 @@ importlib-resources = {version = ">=6.1,<7.0", markers = "python_version < \"3.1
 nonebot-plugin-localstore = ">=0.5,<1.0"
 nonebot2 = ">=2.1,<3.0"
 sqlalchemy = ">=2.0,<3.0"
-typing-extensions = {version = ">=4.8,<5.0", markers = "python_version < \"3.12\""}
+typing-extensions = {version = ">=4.8,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 aiomysql = ["aiomysql (>=0.2,<1.0)"]
@@ -985,47 +1001,6 @@ httpx = ["httpx[http2] (>=0.20.0,<1.0.0)"]
 quart = ["Quart (>=0.18.0,<1.0.0)", "uvicorn[standard] (>=0.20.0,<1.0.0)"]
 websockets = ["websockets (>=10.0)"]
 
-[[package]]
-name = "numpy"
-version = "1.26.1"
-description = "Fundamental package for array computing in Python"
-optional = false
-python-versions = "<3.13,>=3.9"
-files = [
-    {file = "numpy-1.26.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:82e871307a6331b5f09efda3c22e03c095d957f04bf6bc1804f30048d0e5e7af"},
-    {file = "numpy-1.26.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cdd9ec98f0063d93baeb01aad472a1a0840dee302842a2746a7a8e92968f9575"},
-    {file = "numpy-1.26.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d78f269e0c4fd365fc2992c00353e4530d274ba68f15e968d8bc3c69ce5f5244"},
-    {file = "numpy-1.26.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ab9163ca8aeb7fd32fe93866490654d2f7dda4e61bc6297bf72ce07fdc02f67"},
-    {file = "numpy-1.26.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:78ca54b2f9daffa5f323f34cdf21e1d9779a54073f0018a3094ab907938331a2"},
-    {file = "numpy-1.26.1-cp310-cp310-win32.whl", hash = "sha256:d1cfc92db6af1fd37a7bb58e55c8383b4aa1ba23d012bdbba26b4bcca45ac297"},
-    {file = "numpy-1.26.1-cp310-cp310-win_amd64.whl", hash = "sha256:d2984cb6caaf05294b8466966627e80bf6c7afd273279077679cb010acb0e5ab"},
-    {file = "numpy-1.26.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cd7837b2b734ca72959a1caf3309457a318c934abef7a43a14bb984e574bbb9a"},
-    {file = "numpy-1.26.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1c59c046c31a43310ad0199d6299e59f57a289e22f0f36951ced1c9eac3665b9"},
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-    {file = "numpy-1.26.1-cp39-cp39-win_amd64.whl", hash = "sha256:59227c981d43425ca5e5c01094d59eb14e8772ce6975d4b2fc1e106a833d5ae2"},
-    {file = "numpy-1.26.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:06934e1a22c54636a059215d6da99e23286424f316fddd979f5071093b648668"},
-    {file = "numpy-1.26.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:76ff661a867d9272cd2a99eed002470f46dbe0943a5ffd140f49be84f68ffc42"},
-    {file = "numpy-1.26.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:6965888d65d2848e8768824ca8288db0a81263c1efccec881cb35a0d805fcd2f"},
-    {file = "numpy-1.26.1.tar.gz", hash = "sha256:c8c6c72d4a9f831f328efb1312642a1cafafaa88981d9ab76368d50d07d93cbe"},
-]
-
 [[package]]
 name = "numpy"
 version = "1.26.2"
@@ -1366,28 +1341,28 @@ files = [
 
 [[package]]
 name = "ruff"
-version = "0.1.5"
+version = "0.1.6"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
@@ -2149,4 +2124,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "90fd550637cb1f381015128bbdeb8e644ab56ca493ed1751bead31a75999b2de"
+content-hash = "e523f1239c9c0373499c2ee7a9c04a7400334ea94bec5105a8497bdb7da29f98"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = 'nonebot-plugin-tetris-stats'
-version = '1.0.0.a5'
+version = '1.0.0.a9'
 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'
@@ -16,23 +16,24 @@ pandas = '>=1.4.3,<3.0.0'
 playwright = '^1.24.1'
 ujson = '^5.4.0'
 aiofiles = "^23.2.1"
-nonebot-plugin-orm = ">=0.1.1,<0.6.0"
+nonebot-plugin-orm = ">=0.1.1,<0.7.0"
 nonebot-plugin-localstore = "^0.5.1"
 httpx = "^0.25.0"
 nonebot-plugin-alconna = ">=0.30,<0.34"
 nonebot-plugin-apscheduler = "^0.3.0"
+aiocache = "^0.12.2"
 
 [tool.poetry.group.dev.dependencies]
 mypy = '>=0.991,<1.8'
 types-ujson = '^5.7.0'
 pandas-stubs = '>=1.5.2,<3.0.0'
-ruff = '>=0.0.239,<0.1.6'
+ruff = '>=0.0.239,<0.1.7'
 types-aiofiles = "^23.2.0.0"
 nonebot2 = { extras = ["fastapi"], version = "^2.1.1" }
 types-lxml = "^2023.3.28"
-nonebot-plugin-orm = { extras = ["default"], version = ">=0.3,<0.6" }
+nonebot-plugin-orm = { extras = ["default"], version = ">=0.3,<0.7" }
 nonebot-adapter-onebot = "^2.3.1"
-nonebot-adapter-satori = "^0.7.0"
+nonebot-adapter-satori = "^0.8.0"
 
 [tool.poetry.group.debug.dependencies]
 objprint = '^0.2.2'