🔖 1.3.1

Bumps [nonebot-plugin-alconna](https://github.com/nonebot/plugin-alconna) from 0.46.5 to 0.46.6.
- [Release notes](https://github.com/nonebot/plugin-alconna/releases)
- [Commits](https://github.com/nonebot/plugin-alconna/compare/v0.46.5...v0.46.6)

---
updated-dependencies:
- dependency-name: nonebot-plugin-alconna
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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

.gitignore

@@ -19,3 +19,4 @@ package-lock.json
 bot.py
 TODO
 *.fish
+extracted_skin_mino_*

nonebot_plugin_tetris_stats/__init__.py

@@ -1,17 +1,26 @@
 from nonebot import require
 from nonebot.plugin import PluginMetadata
 
-require('nonebot_plugin_localstore')
-require('nonebot_plugin_orm')
 require('nonebot_plugin_alconna')
 require('nonebot_plugin_apscheduler')
+require('nonebot_plugin_localstore')
+require('nonebot_plugin_orm')
+require('nonebot_plugin_session_orm')
+require('nonebot_plugin_session')
+require('nonebot_plugin_user')
+require('nonebot_plugin_userinfo')
 
-from .config.config import migrations  # noqa: E402
+from nonebot_plugin_alconna import namespace  # noqa: E402
+
+with namespace('tetris_stats') as ns:
+    ns.enable_message_cache = False
+
+from .config import migrations  # noqa: E402
 
 __plugin_meta__ = PluginMetadata(
     name='Tetris Stats',
     description='一个用于查询 Tetris 相关游戏玩家数据的插件',
-    usage='发送 {游戏名} --help 查询使用方法',
+    usage='发送 tstats --help 查询使用方法',
     type='application',
     homepage='https://github.com/A-minos/nonebot-plugin-tetris-stats',
     extra={
@@ -19,5 +28,4 @@ __plugin_meta__ = PluginMetadata(
     },
 )
 
-from . import game_data_processor  # noqa: F401, E402
-from .utils import host  # noqa: F401, E402
+from . import games  # noqa: F401, E402

nonebot_plugin_tetris_stats/config/config.py

@@ -3,8 +3,6 @@ from pathlib import Path
 from nonebot_plugin_localstore import get_cache_dir  # type: ignore[import-untyped]
 from pydantic import BaseModel
 
-from . import migrations  # noqa: F401
-
 CACHE_PATH: Path = get_cache_dir('nonebot_plugin_tetris_stats')
 
 

nonebot_plugin_tetris_stats/config/migrations/09d4bb60160d_rename_field.py

@@ -8,11 +8,14 @@
 
 from __future__ import annotations
 
-from collections.abc import Sequence
+from typing import TYPE_CHECKING
 
 import sqlalchemy as sa
 from alembic import op
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 revision: str = '09d4bb60160d'
 down_revision: str | Sequence[str] | None = 'b9d65badc713'
 branch_labels: str | Sequence[str] | None = None

nonebot_plugin_tetris_stats/config/migrations/0d50142b780f_add_field.py

@@ -8,11 +8,14 @@
 
 from __future__ import annotations
 
-from collections.abc import Sequence
+from typing import TYPE_CHECKING
 
 import sqlalchemy as sa
 from alembic import op
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 revision: str = '0d50142b780f'
 down_revision: str | Sequence[str] | None = '09d4bb60160d'
 branch_labels: str | Sequence[str] | None = None

nonebot_plugin_tetris_stats/config/migrations/3c25a5a8c050_refactor_historical.py

@@ -0,0 +1,279 @@
+"""Refactor Historical
+
+迁移 ID: 3c25a5a8c050
+父迁移: b7fbdafc339a
+创建时间: 2024-05-14 09:16:35.193001
+
+"""
+
+from __future__ import annotations
+
+from datetime import datetime
+from typing import TYPE_CHECKING, Any
+
+import sqlalchemy as sa
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, MofNCompleteColumn, Progress, TaskProgressColumn, TextColumn, TimeRemainingColumn
+from sqlalchemy import desc, select
+from sqlalchemy.dialects import sqlite
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+from ujson import dumps, loads
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '3c25a5a8c050'
+down_revision: str | Sequence[str] | None = 'b7fbdafc339a'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def migrate_old_data() -> None:
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=op.get_bind())
+    OldHistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
+    TETRIOHistoricalData = Base.classes.nonebot_plugin_tetris_stats_tetriohistoricaldata  # noqa: N806
+    TOSHistoricalData = Base.classes.nonebot_plugin_tetris_stats_toshistoricaldata  # noqa: N806
+    with (
+        Session(op.get_bind()) as session,
+        Progress(
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            MofNCompleteColumn(),
+            TaskProgressColumn(),
+            TimeRemainingColumn(),
+        ) as progress,
+    ):
+        task_id = progress.add_task('[cyan]Migrating:', total=session.query(OldHistoricalData).count())
+        pointer = 0
+        while pointer < session.query(OldHistoricalData).order_by(desc(OldHistoricalData.id)).limit(1).one().id:
+            result = session.scalars(
+                select(OldHistoricalData)
+                .where(OldHistoricalData.id > pointer)
+                .order_by(OldHistoricalData.id)
+                .limit(100)
+            ).all()
+            for j in result:
+                processed_data: dict[str, Any] = loads(j.processed_data)
+                if j.game_platform == 'IO':
+                    if (data := processed_data.get('user_info')) is not None:
+                        session.add(
+                            TETRIOHistoricalData(
+                                user_unique_identifier=j.user_unique_identifier,
+                                api_type='User Info',
+                                data=dumps(data),
+                                update_time=datetime.fromisoformat(data['cache']['cached_at']),
+                            )
+                        )
+                    if (data := processed_data.get('user_records')) is not None:
+                        session.add(
+                            TETRIOHistoricalData(
+                                user_unique_identifier=j.user_unique_identifier,
+                                api_type='User Records',
+                                data=dumps(data),
+                                update_time=datetime.fromisoformat(data['cache']['cached_at']),
+                            )
+                        )
+                if j.game_platform == 'TOS' and not j.user_unique_identifier.isdigit():
+                    if (data := processed_data.get('user_info')) is not None:
+                        session.add(
+                            TOSHistoricalData(
+                                user_unique_identifier=j.user_unique_identifier,
+                                api_type='User Info',
+                                data=dumps(data),
+                                update_time=j.finish_time,
+                            )
+                        )
+                    if (data := processed_data.get('user_profile')) is not None:
+                        for v in data.values():
+                            session.add(
+                                TOSHistoricalData(
+                                    user_unique_identifier=j.user_unique_identifier,
+                                    api_type='User Profile',
+                                    data=dumps(v),
+                                    update_time=j.finish_time,
+                                )
+                            )
+                progress.update(task_id, advance=1)
+            session.commit()
+            pointer = result[-1].id
+    logger.success('Migrate successfully')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        'nonebot_plugin_tetris_stats_tetriohistoricaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_unique_identifier', sa.String(length=24), nullable=False),
+        sa.Column('api_type', sa.String(length=16), nullable=False),
+        sa.Column('data', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetriohistoricaldata')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_api_type'), ['api_type'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_update_time'), ['update_time'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_user_unique_identifier'),
+            ['user_unique_identifier'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_tophistoricaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_unique_identifier', sa.String(length=24), nullable=False),
+        sa.Column('api_type', sa.String(length=16), nullable=False),
+        sa.Column('data', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tophistoricaldata')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tophistoricaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_api_type'), ['api_type'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_update_time'), ['update_time'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_user_unique_identifier'),
+            ['user_unique_identifier'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_toshistoricaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_unique_identifier', sa.String(length=24), nullable=False),
+        sa.Column('api_type', sa.String(length=16), nullable=False),
+        sa.Column('data', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_toshistoricaldata')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_toshistoricaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_api_type'), ['api_type'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_update_time'), ['update_time'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_user_unique_identifier'),
+            ['user_unique_identifier'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_triggerhistoricaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('session_persist_id', sa.Integer(), nullable=False),
+        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('finish_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_triggerhistoricaldata')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_triggerhistoricaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldata_command_type'),
+            ['command_type'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldata_game_platform'),
+            ['game_platform'],
+            unique=False,
+        )
+
+    migrate_old_data()
+
+    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')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_user_unique_identifier')
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    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', sqlite.JSON(), nullable=False),
+        sa.Column('processed_data', sqlite.JSON(), nullable=False),
+        sa.Column('finish_time', sa.DATETIME(), nullable=False),
+        sa.Column('user_unique_identifier', sa.VARCHAR(length=32), 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_user_unique_identifier',
+            ['user_unique_identifier'],
+            unique=False,
+        )
+        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
+        )
+
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_triggerhistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldata_game_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldata_command_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_triggerhistoricaldata')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_toshistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_user_unique_identifier'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_api_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_toshistoricaldata')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tophistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_user_unique_identifier'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_api_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_tophistoricaldata')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_user_unique_identifier'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_api_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_tetriohistoricaldata')
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/6c3206f90cc3_add_field.py

@@ -5,15 +5,19 @@
 创建时间: 2023-11-26 20:15:56.033892
 
 """
+
 from __future__ import annotations
 
-from collections.abc import Sequence
+from typing import TYPE_CHECKING
 
 from alembic import op
 from sqlalchemy.ext.automap import automap_base
 from sqlalchemy.orm import Session
 from ujson import dumps, loads
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 revision: str = '6c3206f90cc3'
 down_revision: str | Sequence[str] | None = '9f6582279ce2'
 branch_labels: str | Sequence[str] | None = None

nonebot_plugin_tetris_stats/config/migrations/8a91210ce14d_correct_the_data_in_historicaldata.py

@@ -8,7 +8,7 @@
 
 from __future__ import annotations
 
-from collections.abc import Sequence
+from typing import TYPE_CHECKING
 
 from alembic import op
 from nonebot.log import logger
@@ -16,20 +16,24 @@ from sqlalchemy import select
 from sqlalchemy.ext.automap import automap_base
 from sqlalchemy.orm import Session
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 revision: str = '8a91210ce14d'
 down_revision: str | Sequence[str] | None = '0d50142b780f'
 branch_labels: str | Sequence[str] | None = None
 depends_on: str | Sequence[str] | None = None
 
 
-def upgrade(name: str = '') -> None:
+def upgrade(name: str = '') -> None:  # noqa: C901
     if name:
         return
     from nonebot_plugin_tetris_stats.version import __version__
 
     if __version__ != '1.0.3':
-        logger.critical('本迁移需要1.0.3版本, 请先锁定版本至1.0.3版本再执行本迁移')
-        raise RuntimeError('本迁移需要1.0.3版本, 请先锁定版本至1.0.3版本再执行本迁移')
+        msg = '本迁移需要1.0.3版本, 请先锁定版本至1.0.3版本再执行本迁移'
+        logger.critical(msg)
+        raise RuntimeError(msg)
 
     from nonebot.compat import PYDANTIC_V2, type_validate_json
     from pydantic import BaseModel, ValidationError
@@ -42,7 +46,9 @@ def upgrade(name: str = '') -> None:
         TimeRemainingColumn,
     )
 
-    from nonebot_plugin_tetris_stats.game_data_processor.schemas import BaseProcessedData
+    from nonebot_plugin_tetris_stats.game_data_processor.schemas import (  # type: ignore[import-untyped]
+        BaseProcessedData,
+    )
 
     Base = automap_base()  # noqa: N806
     Base.prepare(autoload_with=op.get_bind())

nonebot_plugin_tetris_stats/config/migrations/9866f53ce44f_init_db.py

@@ -5,13 +5,17 @@
 创建时间: 2023-11-11 16:24:11.826667
 
 """
+
 from __future__ import annotations
 
-from collections.abc import Sequence
+from typing import TYPE_CHECKING
 
 import sqlalchemy as sa
 from alembic import op
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 revision: str = '9866f53ce44f'
 down_revision: str | Sequence[str] | None = None
 branch_labels: str | Sequence[str] | None = ('nonebot_plugin_tetris_stats',)

nonebot_plugin_tetris_stats/config/migrations/9cd1647db502_merge_old_db.py

@@ -5,11 +5,12 @@
 创建时间: 2023-11-11 16:51:30.718277
 
 """
+
 from __future__ import annotations
 
-from collections.abc import Sequence
 from pathlib import Path
 from shutil import copyfile
+from typing import TYPE_CHECKING
 
 from alembic import op
 from nonebot import get_driver
@@ -18,6 +19,9 @@ from sqlalchemy import Connection, create_engine, inspect, text
 from sqlalchemy.ext.automap import automap_base
 from sqlalchemy.orm import Session
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 revision: str = '9cd1647db502'
 down_revision: str | Sequence[str] | None = '9866f53ce44f'
 branch_labels: str | Sequence[str] | None = None
@@ -80,8 +84,9 @@ def upgrade(name: str = '') -> None:
             logger.success('nonebot_plugin_tetris_stats: 跳过迁移')
             return
         if 'IORANK' not in tables:
-            logger.warning('nonebot_plugin_tetris_stats: 发现过早版本的数据, 请先更新到 0.4.4 版本')
-            raise RuntimeError('nonebot_plugin_tetris_stats: 请先安装 0.4.4 版本完成迁移之后再升级')
+            msg = 'nonebot_plugin_tetris_stats: 请先安装 0.4.4 版本完成迁移之后再升级'
+            logger.warning(msg)
+            raise RuntimeError(msg)
         logger.info('nonebot_plugin_tetris_stats: 发现来自老版本的数据, 正在迁移...')
         migrate_old_data(connection)
     db_path.unlink()

nonebot_plugin_tetris_stats/config/migrations/9f6582279ce2_recreate_historical_data.py

@@ -5,15 +5,17 @@
 创建时间: 2023-11-21 08:35:50.393246
 
 """
+
 from __future__ import annotations
 
-from collections.abc import Sequence
+from typing import TYPE_CHECKING
 
 import sqlalchemy as sa
 from alembic import op
 from sqlalchemy.dialects import sqlite
 
-from nonebot_plugin_tetris_stats.db.models import PydanticType
+if TYPE_CHECKING:
+    from collections.abc import Sequence
 
 revision: str = '9f6582279ce2'
 down_revision: str | Sequence[str] | None = '9cd1647db502'
@@ -45,8 +47,8 @@ def upgrade(name: str = '') -> None:
         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(list), nullable=False),
-        sa.Column('processed_data', PydanticType(list), nullable=False),
+        sa.Column('game_user', sa.JSON(), nullable=False),
+        sa.Column('processed_data', sa.JSON(), nullable=False),
         sa.Column('finish_time', sa.DateTime(), nullable=False),
         sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_historicaldata')),
     )

nonebot_plugin_tetris_stats/config/migrations/a1195e989cc6_add_tetrio_user_configuration.py

@@ -0,0 +1,44 @@
+"""Add TETRIO user configuration
+
+迁移 ID: a1195e989cc6
+父迁移: b15844837693
+创建时间: 2024-06-09 04:20:07.819194
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'a1195e989cc6'
+down_revision: str | Sequence[str] | None = 'b15844837693'
+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! ###
+    op.create_table(
+        'nonebot_plugin_tetris_stats_tetriouserconfig',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('query_template', sa.String(length=2), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetriouserconfig')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table('nonebot_plugin_tetris_stats_tetriouserconfig')
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/b15844837693_migrate_to_nonobot_plugin_user.py

@@ -0,0 +1,71 @@
+"""Migrate to nonobot-plugin-user
+
+迁移 ID: b15844837693
+父迁移: 3c25a5a8c050
+创建时间: 2024-06-08 02:27:35.227596
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'b15844837693'
+down_revision: str | Sequence[str] | None = '3c25a5a8c050'
+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_bind', schema=None) as batch_op:
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_bind_chat_account')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_bind_chat_platform')
+
+    op.drop_table('nonebot_plugin_tetris_stats_bind')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_bind',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_id', sa.Integer(), nullable=False),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('game_account', sa.String(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_bind')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nonebot_plugin_tetris_stats_bind_user_id'), ['user_id'], 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_bind', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_bind_user_id'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_bind')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_bind',
+        sa.Column('id', sa.INTEGER(), nullable=False),
+        sa.Column('chat_platform', sa.VARCHAR(length=32), nullable=False),
+        sa.Column('chat_account', sa.VARCHAR(), nullable=False),
+        sa.Column('game_platform', sa.VARCHAR(length=32), nullable=False),
+        sa.Column('game_account', sa.VARCHAR(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name='pk_nonebot_plugin_tetris_stats_bind'),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_bind_chat_platform', ['chat_platform'], unique=False)
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_bind_chat_account', ['chat_account'], unique=False)
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/b7fbdafc339a_add_user_unique_identifier_field_to_.py

@@ -8,12 +8,15 @@
 
 from __future__ import annotations
 
-from collections.abc import Sequence
+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 = 'b7fbdafc339a'
 down_revision: str | Sequence[str] | None = '8a91210ce14d'
 branch_labels: str | Sequence[str] | None = None
@@ -26,8 +29,9 @@ def upgrade(name: str = '') -> None:
     from nonebot_plugin_tetris_stats.version import __version__
 
     if __version__ != '1.0.4':
-        logger.critical('本迁移需要1.0.4版本, 请先锁定版本至1.0.4版本再执行本迁移')
-        raise RuntimeError('本迁移需要1.0.4版本, 请先锁定版本至1.0.4版本再执行本迁移')
+        msg = '本迁移需要1.0.4版本, 请先锁定版本至1.0.4版本再执行本迁移'
+        logger.critical(msg)
+        raise RuntimeError(msg)
     from nonebot.compat import type_validate_json
     from pydantic import ValidationError
     from rich.progress import (
@@ -42,7 +46,7 @@ def upgrade(name: str = '') -> None:
     from sqlalchemy.ext.automap import automap_base
     from sqlalchemy.orm import Session
 
-    from nonebot_plugin_tetris_stats.game_data_processor.schemas import BaseUser
+    from nonebot_plugin_tetris_stats.game_data_processor.schemas import BaseUser  # type: ignore[import-untyped]
 
     with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
         batch_op.add_column(sa.Column('user_unique_identifier', sa.String(length=32), nullable=True))

nonebot_plugin_tetris_stats/config/migrations/b9d65badc713_del_old_tos_bind_data.py

@@ -5,14 +5,18 @@
 创建时间: 2023-12-30 00:27:40.991704
 
 """
+
 from __future__ import annotations
 
-from collections.abc import Sequence
+from typing import TYPE_CHECKING
 
 from alembic import op
 from sqlalchemy.ext.automap import automap_base
 from sqlalchemy.orm import Session
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 revision: str = 'b9d65badc713'
 down_revision: str | Sequence[str] | None = '6c3206f90cc3'
 branch_labels: str | Sequence[str] | None = None

nonebot_plugin_tetris_stats/db/__init__.py

@@ -1,10 +1,25 @@
+from asyncio import Lock
+from collections.abc import AsyncGenerator
+from contextlib import asynccontextmanager
+from datetime import datetime, timezone
 from enum import Enum, auto
+from typing import TYPE_CHECKING, Literal, TypeVar, overload
 
-from nonebot_plugin_orm import AsyncSession
+from nonebot.exception import FinishedException
+from nonebot.log import logger
+from nonebot_plugin_orm import AsyncSession, get_session
+from nonebot_plugin_user import User  # type: ignore[import-untyped]
 from sqlalchemy import select
 
-from ..utils.typing import GameType
-from .models import Bind
+from ..utils.typing import CommandType, GameType
+from .models import Bind, TriggerHistoricalData
+
+UTC = timezone.utc
+
+if TYPE_CHECKING:
+    from ..games.tetrio.api.models import TETRIOHistoricalData
+    from ..games.top.api.models import TOPHistoricalData
+    from ..games.tos.api.models import TOSHistoricalData
 
 
 class BindStatus(Enum):
@@ -14,37 +29,28 @@ class BindStatus(Enum):
 
 async def query_bind_info(
     session: AsyncSession,
-    chat_platform: str,
-    chat_account: str,
+    user: User,
     game_platform: GameType,
 ) -> Bind | None:
     return (
-        await session.scalars(
-            select(Bind)
-            .where(Bind.chat_platform == chat_platform)
-            .where(Bind.chat_account == chat_account)
-            .where(Bind.game_platform == game_platform)
-        )
+        await session.scalars(select(Bind).where(Bind.user_id == user.id).where(Bind.game_platform == game_platform))
     ).one_or_none()
 
 
 async def create_or_update_bind(
     session: AsyncSession,
-    chat_platform: str,
-    chat_account: str,
+    user: User,
     game_platform: GameType,
     game_account: str,
 ) -> BindStatus:
     bind = await query_bind_info(
         session=session,
-        chat_platform=chat_platform,
-        chat_account=chat_account,
+        user=user,
         game_platform=game_platform,
     )
     if bind is None:
         bind = Bind(
-            chat_platform=chat_platform,
-            chat_account=chat_account,
+            user_id=user.id,
             game_platform=game_platform,
             game_account=game_account,
         )
@@ -55,3 +61,75 @@ async def create_or_update_bind(
         message = BindStatus.UPDATE
     await session.commit()
     return message
+
+
+T = TypeVar('T', 'TETRIOHistoricalData', 'TOPHistoricalData', 'TOSHistoricalData')
+
+lock = Lock()
+
+
+async def anti_duplicate_add(cls: type[T], model: T) -> None:
+    async with lock, get_session() as session:
+        result = (
+            await session.scalars(
+                select(cls)
+                .where(cls.update_time == model.update_time)
+                .where(cls.user_unique_identifier == model.user_unique_identifier)
+                .where(cls.api_type == model.api_type)
+            )
+        ).all()
+        if result:
+            for i in result:
+                if i.data == model.data:
+                    logger.debug('Anti duplicate successfully')
+                    return
+        session.add(model)
+        await session.commit()
+
+
+@asynccontextmanager
+@overload
+async def trigger(
+    session_persist_id: int,
+    game_platform: Literal['IO'],
+    command_type: CommandType | Literal['rank', 'config', 'record'],
+    command_args: list[str],
+) -> AsyncGenerator:
+    yield
+
+
+@asynccontextmanager
+@overload
+async def trigger(
+    session_persist_id: int,
+    game_platform: GameType,
+    command_type: CommandType,
+    command_args: list[str],
+) -> AsyncGenerator:
+    yield
+
+
+@asynccontextmanager
+async def trigger(
+    session_persist_id: int,
+    game_platform: GameType,
+    command_type: CommandType | Literal['rank', 'config', 'record'],
+    command_args: list[str],
+) -> AsyncGenerator:
+    trigger_time = datetime.now(UTC)
+    try:
+        yield
+    except FinishedException:
+        async with get_session() as session:
+            session.add(
+                TriggerHistoricalData(
+                    trigger_time=trigger_time,
+                    session_persist_id=session_persist_id,
+                    game_platform=game_platform,
+                    command_type=command_type,
+                    command_args=command_args,
+                    finish_time=datetime.now(UTC),
+                )
+            )
+            await session.commit()
+        raise

nonebot_plugin_tetris_stats/db/models.py

@@ -1,16 +1,14 @@
 from collections.abc import Callable, Sequence
 from datetime import datetime
-from typing import Any
+from typing import Any, Literal
 
-from nonebot.adapters import Message
 from nonebot.compat import PYDANTIC_V2, type_validate_json
 from nonebot_plugin_orm import Model
 from pydantic import BaseModel, ValidationError
-from sqlalchemy import JSON, DateTime, Dialect, PickleType, String, TypeDecorator
+from sqlalchemy import JSON, DateTime, Dialect, String, TypeDecorator
 from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
 from typing_extensions import override
 
-from ..game_data_processor.schemas import BaseProcessedData, BaseUser
 from ..utils.typing import CommandType, GameType
 
 
@@ -18,8 +16,15 @@ class PydanticType(TypeDecorator):
     impl = JSON
 
     @override
-    def __init__(self, get_model: Callable[[], Sequence[type[BaseModel]]], *args: Any, **kwargs: Any):
+    def __init__(
+        self,
+        get_model: Sequence[Callable[[], Sequence[type[BaseModel]]]],
+        models: set[type[BaseModel]],
+        *args: Any,
+        **kwargs: Any,
+    ):
         self.get_model = get_model
+        self._models = models
         super().__init__(*args, **kwargs)
 
     if PYDANTIC_V2:
@@ -27,7 +32,7 @@ class PydanticType(TypeDecorator):
         @override
         def process_bind_param(self, value: Any | None, dialect: Dialect) -> str:
             # 将 Pydantic 模型实例转换为 JSON
-            if isinstance(value, tuple(self.get_model())):
+            if isinstance(value, tuple(self.models)):
                 return value.model_dump_json(by_alias=True)  # type: ignore[union-attr]
             raise TypeError
     else:
@@ -35,7 +40,7 @@ class PydanticType(TypeDecorator):
         @override
         def process_bind_param(self, value: Any | None, dialect: Dialect) -> str:
             # 将 Pydantic 模型实例转换为 JSON
-            if isinstance(value, tuple(self.get_model())):
+            if isinstance(value, tuple(self.models)):
                 return value.json(by_alias=True)  # type: ignore[union-attr]
             raise TypeError
 
@@ -43,36 +48,34 @@ class PydanticType(TypeDecorator):
     def process_result_value(self, value: Any | None, dialect: Dialect) -> BaseModel:
         # 将 JSON 转换回 Pydantic 模型实例
         if isinstance(value, str | bytes):
-            for i in self.get_model():
+            for i in self.models:
                 try:
                     return type_validate_json(i, value)
                 except ValidationError:  # noqa: PERF203
                     ...
         raise ValueError
 
+    @property
+    def models(self) -> tuple[type[BaseModel], ...]:
+        models: set[type[BaseModel]] = set()
+        for i in self.get_model:
+            models.update(i())
+        models.update(self._models)
+        return tuple(models)
+
 
 class Bind(MappedAsDataclass, Model):
     id: Mapped[int] = mapped_column(init=False, primary_key=True)
-    chat_platform: Mapped[str] = mapped_column(String(32), index=True)
-    chat_account: Mapped[str] = mapped_column(index=True)
+    user_id: Mapped[int] = mapped_column(index=True)
     game_platform: Mapped[GameType] = mapped_column(String(32))
     game_account: Mapped[str]
 
 
-class HistoricalData(MappedAsDataclass, Model):
+class TriggerHistoricalData(MappedAsDataclass, Model):
     id: Mapped[int] = mapped_column(init=False, primary_key=True)
     trigger_time: Mapped[datetime] = mapped_column(DateTime)
-    bot_platform: Mapped[str | None] = mapped_column(String(32))
-    bot_account: Mapped[str | None]
-    source_type: Mapped[str | None] = mapped_column(String(32), index=True)
-    source_account: Mapped[str | None] = mapped_column(index=True)
-    message: Mapped[Message | None] = mapped_column(PickleType)
-    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)
-    user_unique_identifier: Mapped[str] = mapped_column(String(32), index=True, init=False)
-    game_user: Mapped[BaseUser] = mapped_column(PydanticType(get_model=BaseUser.__subclasses__), init=False)
-    processed_data: Mapped[BaseProcessedData] = mapped_column(
-        PydanticType(get_model=BaseProcessedData.__subclasses__), init=False
-    )
-    finish_time: Mapped[datetime] = mapped_column(DateTime, init=False)
+    session_persist_id: Mapped[int]
+    game_platform: Mapped[GameType] = mapped_column(String(32), index=True)
+    command_type: Mapped[CommandType | Literal['rank', 'config', 'record']] = mapped_column(String(16), index=True)
+    command_args: Mapped[list[str]] = mapped_column(JSON)
+    finish_time: Mapped[datetime] = mapped_column(DateTime)

nonebot_plugin_tetris_stats/game_data_processor/__init__.py

@@ -1,100 +0,0 @@
-from abc import ABC, abstractmethod
-from datetime import datetime, timezone
-from typing import Any
-
-from nonebot.matcher import Matcher
-from nonebot_plugin_alconna import AlcMatches, AlconnaMatcher
-from nonebot_plugin_alconna.uniseg import UniMessage
-from nonebot_plugin_userinfo import UserInfo  # type: ignore[import-untyped]
-
-from ..utils.exception import MessageFormatError
-from ..utils.recorder import Recorder
-from ..utils.typing import CommandType, GameType
-from .schemas import BaseProcessedData as ProcessedData
-from .schemas import BaseRawResponse as RawResponse
-from .schemas import BaseUser as User
-
-UTC = timezone.utc
-
-
-class Processor(ABC):
-    event_id: int
-    command_type: CommandType
-    command_args: list[str]
-    user: User
-    raw_response: RawResponse
-    processed_data: ProcessedData
-
-    @abstractmethod
-    def __init__(
-        self,
-        event_id: int,
-        user: User,
-        command_args: list[str],
-    ) -> None:
-        self.event_id = event_id
-        self.user = user
-        self.command_args = command_args
-
-    @property
-    @abstractmethod
-    def game_platform(self) -> GameType:
-        """游戏平台"""
-        raise NotImplementedError
-
-    @abstractmethod
-    async def handle_bind(
-        self,
-        platform: str,
-        account: str,
-        bot_info: UserInfo,
-        *args: Any,  # noqa: ANN401
-        **kwargs: Any,  # noqa: ANN401
-    ) -> UniMessage:
-        """处理绑定消息"""
-        raise NotImplementedError
-
-    @abstractmethod
-    async def handle_query(self) -> UniMessage:
-        """处理查询消息"""
-        raise NotImplementedError
-
-    def __del__(self) -> None:
-        finish_time = datetime.now(tz=UTC)
-        if Recorder.is_error_event(self.event_id):
-            Recorder.del_error_event(self.event_id)
-            return
-        historical_data = Recorder.get_historical_data(self.event_id)
-        historical_data.game_platform = self.game_platform
-        historical_data.command_type = self.command_type
-        historical_data.command_args = self.command_args
-        historical_data.user_unique_identifier = self.user.unique_identifier
-        historical_data.game_user = self.user
-        historical_data.processed_data = self.processed_data
-        historical_data.finish_time = finish_time
-        Recorder.update_historical_data(self.event_id, historical_data)
-
-
-def add_default_handlers(matcher: type[AlconnaMatcher]) -> None:
-    @matcher.handle()
-    async def _(matcher: Matcher, account: MessageFormatError):
-        await matcher.finish(str(account))
-
-    @matcher.handle()
-    async def _(matcher: Matcher, matches: AlcMatches):
-        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'
-            )
-
-    @matcher.handle()
-    async def _(matcher: Matcher, other: Any):  # noqa: ANN401
-        await matcher.finish()
-
-
-from . import (  # noqa: F401, E402
-    io_data_processor,
-    top_data_processor,
-    tos_data_processor,
-)

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/__init__.py

@@ -1,196 +0,0 @@
-from datetime import datetime, timedelta, timezone
-from zoneinfo import ZoneInfo
-
-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_alconna.uniseg import UniMessage
-from nonebot_plugin_orm import get_session
-from nonebot_plugin_userinfo import BotUserInfo, UserInfo  # type: ignore[import-untyped]
-from sqlalchemy import func, select
-
-from ...db import query_bind_info
-from ...utils.exception import HandleNotFinishedError, NeedCatchError
-from ...utils.metrics import get_metrics
-from ...utils.platform import get_platform
-from ...utils.typing import Me
-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, identify_user_info
-from .typing import Rank
-
-UTC = timezone.utc
-
-alc = on_alconna(
-    Alconna(
-        'io',
-        Option(
-            BIND_COMMAND[0],
-            Args(
-                Arg(
-                    'account',
-                    identify_user_info,
-                    notice='IO 用户名 / ID',
-                    flags=[ArgFlag.HIDDEN],
-                )
-            ),
-            alias=BIND_COMMAND[1:],
-            compact=True,
-            dest='bind',
-            help_text='绑定 IO 账号',
-        ),
-        Option(
-            QUERY_COMMAND[0],
-            Args(
-                Arg(
-                    'target',
-                    At | Me,
-                    notice='@想要查询的人 | 自己',
-                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
-                ),
-                Arg(
-                    'account',
-                    identify_user_info,
-                    notice='IO 用户名 / ID',
-                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
-                ),
-            ),
-            alias=QUERY_COMMAND[1:],
-            compact=True,
-            dest='query',
-            help_text='查询 IO 游戏信息',
-        ),
-        Option(
-            'rank',
-            Args(Arg('rank', Rank, notice='IO 段位')),
-            alias={'Rank', 'RANK', '段位'},
-            compact=True,
-            dest='rank',
-            help_text='查询 IO 段位信息',
-        ),
-        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',
-            compact=True,
-            fuzzy_match=True,
-        ),
-    ),
-    skip_for_unmatch=False,
-    auto_send_output=True,
-    aliases={'IO'},
-)
-
-alc.shortcut('fkosk', {'command': 'io查', 'args': ['我']})
-
-
-@alc.assign('bind')
-async def _(bot: Bot, event: Event, matcher: Matcher, account: User, bot_info: UserInfo = BotUserInfo()):  # noqa: B008
-    proc = Processor(event_id=id(event), user=account, command_args=[])
-    try:
-        await (
-            await proc.handle_bind(platform=get_platform(bot), account=event.get_user_id(), bot_info=bot_info)
-        ).finish()
-    except NeedCatchError as e:
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-@alc.assign('query')
-async def _(bot: Bot, event: Event, matcher: Matcher, target: At | Me):
-    async with get_session() as session:
-        bind = await query_bind_info(
-            session=session,
-            chat_platform=get_platform(bot),
-            chat_account=(target.target if isinstance(target, At) else event.get_user_id()),
-            game_platform=GAME_TYPE,
-        )
-    if bind is None:
-        await matcher.finish('未查询到绑定信息')
-    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'
-    proc = Processor(
-        event_id=id(event),
-        user=User(ID=bind.game_account),
-        command_args=[],
-    )
-    try:
-        await (UniMessage(message) + await proc.handle_query()).finish()
-    except NeedCatchError as e:
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-@alc.assign('query')
-async def _(event: Event, matcher: Matcher, account: User):
-    proc = Processor(
-        event_id=id(event),
-        user=account,
-        command_args=[],
-    )
-    try:
-        await (await proc.handle_query()).finish()
-    except NeedCatchError as e:
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-@alc.assign('rank')
-async def _(matcher: Matcher, rank: Rank):
-    if rank == 'z':
-        await matcher.finish('暂不支持查询未知段位')
-    async with get_session() as session:
-        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.update_time)
-                        - func.julianday(latest_data.update_time - timedelta(hours=24))
-                    )
-                )
-                .limit(1)
-            )
-        ).one()
-    message = ''
-    if (datetime.now(UTC) - latest_data.update_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.update_time-compare_data.update_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)
-    low_pps = get_metrics(pps=latest_data.low_pps[1])
-    low_vs = get_metrics(vs=latest_data.low_vs[1])
-    max_pps = get_metrics(pps=latest_data.high_pps[1])
-    max_vs = get_metrics(vs=latest_data.high_vs[1])
-    message += (
-        '\n'
-        '平均数据:\n'
-        f"L'PM: {avg.lpm} ( {avg.pps} pps )\n"
-        f'APM: {avg.apm} ( x{avg.apl} )\n'
-        f'ADPM: {avg.adpm} ( x{avg.adpl} ) ( {avg.vs}vs )\n'
-        '\n'
-        '最低数据:\n'
-        f"L'PM: {low_pps.lpm} ( {low_pps.pps} pps ) By: {latest_data.low_pps[0]['name'].upper()}\n"
-        f'APM: {latest_data.low_apm[1]} By: {latest_data.low_apm[0]["name"].upper()}\n'
-        f'ADPM: {low_vs.adpm} ( {low_vs.vs}vs ) By: {latest_data.low_vs[0]["name"].upper()}\n'
-        '\n'
-        '最高数据:\n'
-        f"L'PM: {max_pps.lpm} ( {max_pps.pps} pps ) By: {latest_data.high_pps[0]['name'].upper()}\n"
-        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.update_time.replace(tzinfo=UTC).astimezone(ZoneInfo("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")}'
-    )
-    await matcher.finish(message)
-
-
-add_default_handlers(alc)

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/processor.py

@@ -1,458 +0,0 @@
-from asyncio import gather
-from collections import defaultdict
-from collections.abc import Callable
-from datetime import datetime, timedelta, timezone
-from hashlib import md5, sha512
-from math import ceil, floor
-from re import match
-from statistics import mean
-from typing import Literal
-from urllib.parse import urlunparse
-from zoneinfo import ZoneInfo
-
-from aiofiles import open
-from nonebot import get_driver
-from nonebot.compat import type_validate_json
-from nonebot.utils import run_sync
-from nonebot_plugin_alconna.uniseg import UniMessage
-from nonebot_plugin_apscheduler import scheduler  # type: ignore[import-untyped]
-from nonebot_plugin_localstore import get_data_file  # type: ignore[import-untyped]
-from nonebot_plugin_orm import get_session
-from nonebot_plugin_userinfo import UserInfo as NBUserInfo  # type: ignore[import-untyped]
-from sqlalchemy import select
-from typing_extensions import override
-from zstandard import ZstdCompressor
-
-from ...db import BindStatus, create_or_update_bind
-from ...db.models import HistoricalData
-from ...utils.avatar import get_avatar
-from ...utils.exception import MessageFormatError, RequestError, WhatTheFuckError
-from ...utils.host import HostPage, get_self_netloc
-from ...utils.render import Bind, TETRIOInfo, render
-from ...utils.request import splice_url
-from ...utils.retry import retry
-from ...utils.screenshot import screenshot
-from .. import Processor as ProcessorMeta
-from .cache import Cache
-from .constant import BASE_URL, GAME_TYPE, RANK_PERCENTILE, TR_MAX, TR_MIN
-from .model import IORank
-from .schemas.base import FailedModel
-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 NeverPlayedLeague, NeverRatedLeague, RatedLeague, UserInfo
-from .schemas.user_info import SuccessModel as InfoSuccess
-from .schemas.user_records import MultiRecord, SoloRecord, UserRecords
-from .schemas.user_records import SuccessModel as RecordsSuccess
-from .typing import Rank
-
-UTC = timezone.utc
-
-driver = get_driver()
-
-
-def identify_user_info(info: str) -> User | MessageFormatError:
-    if match(r'^[a-f0-9]{24}$', info):
-        return User(ID=info)
-    if match(r'^[a-zA-Z0-9_-]{3,16}$', info):
-        return User(name=info.lower())
-    return MessageFormatError('用户名/ID不合法')
-
-
-def get_value_bounds(values: list[int | float]) -> tuple[int, int]:
-    value_max = 10 * ceil(max(values) / 10)
-    value_min = 10 * floor(min(values) / 10)
-    return value_max, value_min
-
-
-def get_split(value_max: int, value_min: int) -> tuple[int, int]:
-    offset = 0
-    overflow = 0
-
-    while True:
-        if (new_max_value := value_max + offset + overflow) > TR_MAX:
-            overflow -= 1
-            continue
-        if (new_min_value := value_min - offset + overflow) < TR_MIN:
-            overflow += 1
-            continue
-        if ((new_max_value - new_min_value) / 40).is_integer():
-            split_value = int((value_max + offset - (value_min - offset)) / 4)
-            break
-        offset += 1
-    return split_value, offset + overflow
-
-
-def get_specified_point(
-    previous_point: TETRIOInfo.TetraLeagueHistory.Data,
-    behind_point: TETRIOInfo.TetraLeagueHistory.Data,
-    point_time: datetime,
-) -> TETRIOInfo.TetraLeagueHistory.Data:
-    """根据给出的 previous_point 和 behind_point, 推算 point_time 点处的数据
-
-    Args:
-        previous_point (TETRIOInfo.TetraLeagueHistory.Data): 前面的数据点
-        behind_point (TETRIOInfo.TetraLeagueHistory.Data): 后面的数据点
-        point_time (datetime): 要推算的点的位置
-
-    Returns:
-        TETRIOInfo.TetraLeagueHistory.Data: 要推算的点的数据
-    """
-    # 求两个点的斜率
-    slope = (behind_point.tr - previous_point.tr) / (
-        datetime.timestamp(behind_point.record_at) - datetime.timestamp(previous_point.record_at)
-    )
-    return TETRIOInfo.TetraLeagueHistory.Data(
-        record_at=point_time,
-        tr=previous_point.tr + slope * (datetime.timestamp(point_time) - datetime.timestamp(previous_point.record_at)),
-    )
-
-
-class Processor(ProcessorMeta):
-    user: User
-    raw_response: RawResponse
-    processed_data: ProcessedData
-
-    @override
-    def __init__(self, event_id: int, user: User, command_args: list[str]) -> None:
-        super().__init__(event_id, user, command_args)
-        self.raw_response = RawResponse()
-        self.processed_data = ProcessedData()
-
-    @property
-    @override
-    def game_platform(self) -> Literal['IO']:
-        return GAME_TYPE
-
-    @override
-    async def handle_bind(self, platform: str, account: str, bot_info: NBUserInfo) -> UniMessage:
-        """处理绑定消息"""
-        self.command_type = 'bind'
-        await self.get_user()
-        if self.user.ID is None:
-            raise  # FIXME: 不知道怎么才能把这类型给变过来了
-        async with get_session() as session:
-            bind_status = await create_or_update_bind(
-                session=session,
-                chat_platform=platform,
-                chat_account=account,
-                game_platform=GAME_TYPE,
-                game_account=self.user.ID,
-            )
-        bot_avatar = await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg')
-        user_info = await self.get_user_info()
-        if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
-            async with HostPage(
-                await render(
-                    'binding',
-                    Bind(
-                        platform='TETR.IO',
-                        status='unknown',
-                        user=Bind.People(
-                            avatar=f'https://tetr.io/user-content/avatars/{user_info.data.user.id}.jpg?rv={user_info.data.user.avatar_revision}'
-                            if user_info.data.user.avatar_revision is not None
-                            else f'{{"type":"identicon","hash":"{md5(user_info.data.user.id.encode()).hexdigest()}"}}',  # noqa: S324
-                            name=user_info.data.user.username.upper(),
-                        ),
-                        bot=Bind.People(
-                            avatar=bot_avatar,
-                            name=bot_info.user_name,
-                        ),
-                        command='io查我',
-                    ),
-                )
-            ) as page_hash:
-                message = UniMessage.image(
-                    raw=await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
-                )
-        return message
-
-    @override
-    async def handle_query(self) -> UniMessage:
-        """处理查询消息"""
-        self.command_type = 'query'
-        await self.get_user()
-        user_info, user_records = await gather(self.get_user_info(), self.get_user_records())
-        sprint = user_records.data.records.sprint
-        blitz = user_records.data.records.blitz
-        if isinstance(sprint.record, MultiRecord) or isinstance(blitz.record, MultiRecord):
-            raise WhatTheFuckError('单人游戏记录是多人游戏记录')
-        try:
-            return UniMessage.image(raw=await self.make_query_image(self.user, user_info, sprint.record, blitz.record))
-        except TypeError:
-            ...
-        # fallback
-        league = user_info.data.user.league
-        user_name = user_info.data.user.username.upper()
-        ret_message = ''
-        if isinstance(league, NeverPlayedLeague):
-            ret_message += f'用户 {user_name} 没有排位统计数据'
-        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:'
-            else:
-                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 )"
-            ret_message += f'\nAPM: {league.apm} ( x{round(league.apm/lpm,2)} )'
-            if league.vs is not None:
-                adpm = league.vs * 0.6
-                ret_message += f'\nADPM: {round(adpm,2)} ( x{round(adpm/lpm,2)} ) ( {league.vs}vs )'
-        if sprint.record is not None:
-            ret_message += f'\n40L: {round(sprint.record.endcontext.final_time/1000,2)}s'
-            ret_message += f' ( #{sprint.rank} )' if sprint.rank is not None else ''
-        if blitz.record is not None:
-            ret_message += f'\nBlitz: {blitz.record.endcontext.score}'
-            ret_message += f' ( #{blitz.rank} )' if blitz.rank is not None else ''
-        return UniMessage(ret_message)
-
-    @staticmethod
-    async def query_historical_data(user: User, user_info: InfoSuccess) -> list[TETRIOInfo.TetraLeagueHistory.Data]:
-        today = datetime.now(ZoneInfo('Asia/Shanghai')).replace(hour=0, minute=0, second=0, microsecond=0)
-        forward = timedelta(days=9)
-        start_time = (today - forward).astimezone(UTC)
-        async with get_session() as session:
-            historical_data = (
-                await session.scalars(
-                    select(HistoricalData)
-                    .where(HistoricalData.trigger_time >= start_time)
-                    .where(HistoricalData.game_platform == GAME_TYPE)
-                    .where(HistoricalData.user_unique_identifier == user.unique_identifier)
-                )
-            ).all()
-            if historical_data:
-                extra = (
-                    await session.scalars(
-                        select(HistoricalData)
-                        .where(HistoricalData.game_platform == GAME_TYPE)
-                        .where(HistoricalData.user_unique_identifier == user.unique_identifier)
-                        .order_by(HistoricalData.id.desc())
-                        .where(HistoricalData.id < min([i.id for i in historical_data]))
-                        .limit(1)
-                    )
-                ).one_or_none()
-                if extra is not None:
-                    historical_data = list(historical_data)
-                    historical_data.append(extra)
-
-        histories = [
-            TETRIOInfo.TetraLeagueHistory.Data(
-                record_at=i.processed_data.user_info.cache.cached_at.astimezone(ZoneInfo('Asia/Shanghai')),
-                tr=i.processed_data.user_info.data.user.league.rating,
-            )
-            for i in historical_data
-            if isinstance(i.processed_data, ProcessedData)
-            and i.processed_data.user_info is not None
-            and isinstance(i.processed_data.user_info.data.user.league, RatedLeague)
-        ]
-
-        # 按照时间排序
-        histories = sorted(histories, key=lambda x: x.record_at)
-        for index, value in enumerate(histories):
-            # 在历史记录里找有没有今天0点后的数据
-            if value.record_at > today:
-                histories = histories[:index] + [
-                    get_specified_point(histories[index - 1], histories[index], today.replace(microsecond=1000))
-                ]
-                break
-        else:
-            histories.append(
-                get_specified_point(
-                    histories[-1],
-                    TETRIOInfo.TetraLeagueHistory.Data(
-                        record_at=user_info.cache.cached_at, tr=user_info.data.user.league.rating
-                    ),
-                    today.replace(microsecond=1000),
-                )
-            )
-        if histories[0].record_at < (today - forward):
-            histories[0] = get_specified_point(
-                histories[0],
-                histories[1],
-                today - forward,
-            )
-        else:
-            histories.insert(0, TETRIOInfo.TetraLeagueHistory.Data(record_at=today - forward, tr=histories[0].tr))
-        return histories
-
-    @staticmethod
-    async def make_query_image(
-        user: User, user_info: InfoSuccess, sprint: SoloRecord | None, blitz: SoloRecord | None
-    ) -> bytes:
-        league = user_info.data.user.league
-        if not isinstance(league, RatedLeague) or league.vs is None:
-            raise TypeError
-        user_name = user_info.data.user.username.upper()
-        histories = await Processor.query_historical_data(user, user_info)
-        value_max, value_min = get_value_bounds([i.tr for i in histories])
-        split_value, offset = get_split(value_max, value_min)
-        if sprint is not None:
-            duration = timedelta(milliseconds=sprint.endcontext.final_time).total_seconds()
-            sprint_value = f'{duration:.1f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.1f}s'  # noqa: PLR2004
-        else:
-            sprint_value = 'N/A'
-        blitz_value = f'{blitz.endcontext.score:,}' if blitz is not None else 'N/A'
-        async with HostPage(
-            await render(
-                'tetrio/info',
-                TETRIOInfo(
-                    user=TETRIOInfo.User(
-                        avatar=f'https://tetr.io/user-content/avatars/{user_info.data.user.id}.jpg?rv={user_info.data.user.avatar_revision}'
-                        if user_info.data.user.avatar_revision is not None
-                        else f'{{"type":"identicon","hash":"{md5(user_info.data.user.id.encode()).hexdigest()}"}}',  # noqa: S324
-                        name=user_name,
-                        bio=user_info.data.user.bio,
-                    ),
-                    ranking=TETRIOInfo.Ranking(
-                        rating=round(league.glicko, 2),
-                        rd=round(league.rd, 2),
-                    ),
-                    tetra_league=TETRIOInfo.TetraLeague(
-                        rank=league.rank,
-                        tr=round(league.rating, 2),
-                        global_rank=league.standing,
-                        pps=league.pps,
-                        lpm=round(lpm := (league.pps * 24), 2),
-                        apm=league.apm,
-                        apl=round(league.apm / lpm, 2),
-                        vs=league.vs,
-                        adpm=round(adpm := (league.vs * 0.6), 2),
-                        adpl=round(adpm / lpm, 2),
-                    ),
-                    tetra_league_history=TETRIOInfo.TetraLeagueHistory(
-                        data=histories,
-                        split_interval=split_value,
-                        min_tr=value_min,
-                        max_tr=value_max,
-                        offset=offset,
-                    ),
-                    radar=TETRIOInfo.Radar(
-                        app=(app := (league.apm / (60 * league.pps))),
-                        dsps=(dsps := ((league.vs / 100) - (league.apm / 60))),
-                        dspp=(dspp := (dsps / league.pps)),
-                        ci=150 * dspp - 125 * app + 50 * (league.vs / league.apm) - 25,
-                        ge=2 * ((app * dsps) / league.pps),
-                    ),
-                    sprint=sprint_value,
-                    blitz=blitz_value,
-                ),
-            )
-        ) as page_hash:
-            return await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
-
-    async def get_user(self) -> None:
-        """
-        用于获取 UserName 和 UserID 的函数
-        """
-        if self.user.name is None:
-            self.user.name = (await self.get_user_info()).data.user.username
-        if self.user.ID is None:
-            self.user.ID = (await self.get_user_info()).data.user.id
-
-    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 Cache.get(
-                splice_url([BASE_URL, 'users/', f'{self.user.ID or self.user.name}'])
-            )
-            user_info: UserInfo = type_validate_json(UserInfo, self.raw_response.user_info)  # type: ignore[arg-type]
-            if isinstance(user_info, FailedModel):
-                raise RequestError(f'用户信息请求错误:\n{user_info.error}')
-            self.processed_data.user_info = user_info
-        return self.processed_data.user_info
-
-    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 Cache.get(
-                splice_url([BASE_URL, 'users/', f'{self.user.ID or self.user.name}/', 'records'])
-            )
-            user_records: UserRecords = type_validate_json(UserRecords, self.raw_response.user_records)  # type: ignore[arg-type]
-            if isinstance(user_records, FailedModel):
-                raise RequestError(f'用户Solo数据请求错误:\n{user_records.error}')
-            self.processed_data.user_records = user_records
-        return self.processed_data.user_records
-
-
-@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 = type_validate_json(
-        LeagueAll,  # type: ignore[arg-type]
-        (data := await Cache.get(splice_url([BASE_URL, 'users/lists/league/all']))),
-    )
-    if isinstance(league_all, FailedModel):
-        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
-
-    def apm(user: LeagueAllUser) -> float:
-        return user.league.apm
-
-    def vs(user: LeagueAllUser) -> float:
-        return user.league.vs
-
-    def _min(users: list[LeagueAllUser], field: Callable[[LeagueAllUser], float]) -> LeagueAllUser:
-        return min(users, key=field)
-
-    def _max(users: list[LeagueAllUser], field: Callable[[LeagueAllUser], float]) -> LeagueAllUser:
-        return max(users, key=field)
-
-    def build_extremes_data(
-        users: list[LeagueAllUser],
-        field: Callable[[LeagueAllUser], float],
-        sort: Callable[[list[LeagueAllUser], Callable[[LeagueAllUser], float]], LeagueAllUser],
-    ) -> tuple[dict[str, str], float]:
-        user = sort(users, field)
-        return User(ID=user.id, name=user.username).dict(), field(user)
-
-    data_hash: str | None = await run_sync((await run_sync(sha512)(data)).hexdigest)()
-    async with open(get_data_file('nonebot_plugin_tetris_stats', f'{data_hash}.json.zst'), mode='wb') as file:
-        await file.write(await run_sync(ZstdCompressor(level=12, threads=-1).compress)(data))
-
-    users = [i for i in league_all.data.users if isinstance(i, LeagueAllUser)]
-    rank_to_users: defaultdict[Rank, list[LeagueAllUser]] = defaultdict(list)
-    for i in users:
-        rank_to_users[i.league.rank].append(i)
-    rank_info: list[IORank] = []
-    for rank, percentile in RANK_PERCENTILE.items():
-        offset = floor((percentile / 100) * len(users)) - 1
-        tr_line = users[offset].league.rating
-        rank_users = rank_to_users[rank]
-        rank_info.append(
-            IORank(
-                rank=rank,
-                tr_line=tr_line,
-                player_count=len(rank_users),
-                low_pps=(build_extremes_data(rank_users, pps, _min)),
-                low_apm=(build_extremes_data(rank_users, apm, _min)),
-                low_vs=(build_extremes_data(rank_users, vs, _min)),
-                avg_pps=mean({i.league.pps for i in rank_users}),
-                avg_apm=mean({i.league.apm for i in rank_users}),
-                avg_vs=mean({i.league.vs for i in rank_users}),
-                high_pps=(build_extremes_data(rank_users, pps, _max)),
-                high_apm=(build_extremes_data(rank_users, apm, _max)),
-                high_vs=(build_extremes_data(rank_users, vs, _max)),
-                update_time=league_all.cache.cached_at,
-                file_hash=data_hash,
-            )
-        )
-    async with get_session() as session:
-        session.add_all(rank_info)
-        await session.commit()
-
-
-@driver.on_startup
-async def _() -> None:
-    async with get_session() as session:
-        latest_time = await session.scalar(select(IORank.update_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()

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/league_all.py

@@ -1,59 +0,0 @@
-from pydantic import BaseModel, Field
-
-from ..typing import Rank
-from .base import FailedModel
-from .base import SuccessModel as BaseSuccessModel
-
-
-class _User(BaseModel):
-    id: str = Field(..., alias='_id')
-    username: str
-    role: str
-    xp: float
-    supporter: bool
-    verified: bool
-    country: str | None = None
-
-
-class SuccessModel(BaseSuccessModel):
-    class Data(BaseModel):
-        class ValidUser(_User):
-            class League(BaseModel):
-                gamesplayed: int
-                gameswon: int
-                rating: float
-                glicko: float
-                rd: float
-                rank: Rank
-                bestrank: Rank
-                apm: float
-                pps: float
-                vs: float
-                decaying: bool
-
-            league: League
-
-        class InvalidUser(_User):
-            class League(BaseModel):
-                gamesplayed: int
-                gameswon: int
-                rating: float
-                glicko: float | None = None
-                rd: float | None = None
-                rank: Rank
-                bestrank: Rank
-                apm: float | None = None
-                pps: float | None = None
-                vs: float | None = None
-                decaying: bool
-
-            league: League
-
-        users: list[ValidUser | InvalidUser]
-
-    data: Data
-
-
-LeagueAll = SuccessModel | FailedModel
-ValidUser = SuccessModel.Data.ValidUser
-InvalidUser = SuccessModel.Data.InvalidUser

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/response.py

@@ -1,21 +0,0 @@
-from typing import Literal
-
-from ... import ProcessedData as ProcessedDataMeta
-from ... import RawResponse as RawResponseMeta
-from ..constant import GAME_TYPE
-from .user_info import SuccessModel as InfoSuccess
-from .user_records import SuccessModel as RecordsSuccess
-
-
-class RawResponse(RawResponseMeta):
-    platform: Literal['IO'] = GAME_TYPE
-
-    user_info: bytes | None = None
-    user_records: bytes | None = None
-
-
-class ProcessedData(ProcessedDataMeta):
-    platform: Literal['IO'] = GAME_TYPE
-
-    user_info: InfoSuccess | None = None
-    user_records: RecordsSuccess | None = None

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/user.py

@@ -1,17 +0,0 @@
-from typing import Literal
-
-from ...schemas import BaseUser
-from ..constant import GAME_TYPE
-
-
-class User(BaseUser):
-    platform: Literal['IO'] = GAME_TYPE
-
-    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/io_data_processor/schemas/user_info.py

@@ -1,126 +0,0 @@
-from datetime import datetime
-from typing import Literal
-
-from pydantic import BaseModel, Field
-
-from ..typing import Rank
-from .base import FailedModel
-from .base import SuccessModel as BaseSuccessModel
-
-
-class SuccessModel(BaseSuccessModel):
-    class Data(BaseModel):
-        class User(BaseModel):
-            class Badge(BaseModel):
-                id: str
-                label: str
-                group: str | None = None
-                ts: datetime | Literal[False] | None = None
-
-            class NeverPlayedLeague(BaseModel):
-                gamesplayed: Literal[0]
-                gameswon: Literal[0]
-                rating: Literal[-1]
-                rank: Literal['z']
-                standing: Literal[-1]
-                standing_local: Literal[-1]
-                next_rank: None
-                prev_rank: None
-                next_at: Literal[-1]
-                prev_at: Literal[-1]
-                percentile: Literal[-1]
-                percentile_rank: Literal['z']
-                apm: None = Field(None)
-                pps: None = Field(None)
-                vs: None = Field(None)
-                decaying: bool
-
-            class NeverRatedLeague(BaseModel):
-                gamesplayed: Literal[1, 2, 3, 4, 5, 6, 7, 8, 9]
-                gameswon: int
-                rating: Literal[-1]
-                rank: Literal['z']
-                standing: Literal[-1]
-                standing_local: Literal[-1]
-                next_rank: None
-                prev_rank: None
-                next_at: Literal[-1]
-                prev_at: Literal[-1]
-                percentile: Literal[-1]
-                percentile_rank: Literal['z']
-                apm: float
-                pps: float
-                vs: float
-                decaying: bool
-
-            class RatedLeague(BaseModel):
-                gamesplayed: int
-                gameswon: int
-                rating: float
-                rank: Rank
-                bestrank: Rank
-                standing: int
-                standing_local: int
-                next_rank: Rank | None = None
-                prev_rank: Rank | None = None
-                next_at: int
-                prev_at: int
-                percentile: float
-                percentile_rank: str
-                glicko: float
-                rd: float
-                apm: float
-                pps: float
-                vs: float | None = None
-                decaying: bool
-
-            class Connections(BaseModel):
-                class Discord(BaseModel):
-                    id: str
-                    username: str
-
-                discord: Discord | None = None
-
-            class Distinguishment(BaseModel):
-                type: str
-
-            id: str = Field(..., alias='_id')
-            username: str
-            role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'banned']
-            ts: datetime | None = None
-            botmaster: str | None = None
-            badges: list[Badge]
-            xp: float
-            gamesplayed: int
-            gameswon: int
-            gametime: float
-            country: str | None = None
-            badstanding: bool | None = None
-            supporter: bool | None = None  # osk说是必有, 但实际上不是 fk osk
-            supporter_tier: int
-            verified: bool
-            league: NeverPlayedLeague | NeverRatedLeague | RatedLeague
-            avatar_revision: int | None = None
-            """This user's avatar ID. Get their avatar at
-
-            https://tetr.io/user-content/avatars/{ USERID }.jpg?rv={ AVATAR_REVISION }"""
-            banner_revision: int | None = None
-            """This user's banner ID. Get their banner at
-
-            https://tetr.io/user-content/banners/{ USERID }.jpg?rv={ BANNER_REVISION }
-
-            Ignore this field if the user is not a supporter."""
-            bio: str | None = None
-            connections: Connections
-            friend_count: int | None = None
-            distinguishment: Distinguishment | None = None
-
-        user: User
-
-    data: Data
-
-
-NeverPlayedLeague = SuccessModel.Data.User.NeverPlayedLeague
-NeverRatedLeague = SuccessModel.Data.User.NeverRatedLeague
-RatedLeague = SuccessModel.Data.User.RatedLeague
-UserInfo = SuccessModel | FailedModel

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/user_records.py

@@ -1,118 +0,0 @@
-from datetime import datetime
-
-from pydantic import BaseModel, Field
-
-from .base import FailedModel
-from .base import SuccessModel as BaseSuccessModel
-
-
-class EndContext(BaseModel):
-    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
-
-    class Finesse(BaseModel):
-        combo: int
-        faults: int
-        perfectpieces: int
-
-    seed: int
-    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 BaseModeRecord(BaseModel):
-    class SoloRecord(_Record):
-        endcontext: EndContext
-
-    class MultiRecord(_Record):
-        endcontext: list[EndContext]
-
-    record: SoloRecord | MultiRecord | None = None
-    rank: int | None = None
-
-
-class SuccessModel(BaseSuccessModel):
-    class Data(BaseModel):
-        class Records(BaseModel):
-            class Sprint(BaseModeRecord): ...
-
-            class Blitz(BaseModeRecord): ...
-
-            sprint: Sprint = Field(..., alias='40l')
-            blitz: Blitz
-
-        class Zen(BaseModel):
-            level: int
-            score: int
-
-        records: Records
-        zen: Zen
-
-    data: Data
-
-
-SoloRecord = BaseModeRecord.SoloRecord
-MultiRecord = BaseModeRecord.MultiRecord
-UserRecords = SuccessModel | FailedModel

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/__init__.py

@@ -1,134 +0,0 @@
-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_alconna.uniseg import UniMessage
-from nonebot_plugin_orm import get_session
-from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo  # type: ignore[import-untyped]
-
-from ...db import query_bind_info
-from ...utils.exception import HandleNotFinishedError, NeedCatchError
-from ...utils.platform import get_platform
-from ...utils.typing import Me
-from .. import add_default_handlers
-from ..constant import BIND_COMMAND, QUERY_COMMAND
-from .constant import GAME_TYPE
-from .processor import Processor, User, identify_user_info
-
-alc = on_alconna(
-    Alconna(
-        'top',
-        Option(
-            BIND_COMMAND[0],
-            Args(
-                Arg(
-                    'account',
-                    identify_user_info,
-                    notice='TOP 用户名',
-                    flags=[ArgFlag.HIDDEN],
-                )
-            ),
-            alias=BIND_COMMAND[1:],
-            compact=True,
-            dest='bind',
-            help_text='绑定 TOP 账号',
-        ),
-        Option(
-            QUERY_COMMAND[0],
-            Args(
-                Arg(
-                    'target',
-                    At | Me,
-                    notice='@想要查询的人 | 自己',
-                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
-                ),
-                Arg(
-                    'account',
-                    identify_user_info | Me | At,
-                    notice='TOP 用户名',
-                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
-                ),
-            ),
-            alias=QUERY_COMMAND[1:],
-            compact=True,
-            dest='query',
-            help_text='查询 TOP 游戏信息',
-        ),
-        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',
-            compact=True,
-            fuzzy_match=True,
-        ),
-    ),
-    skip_for_unmatch=False,
-    auto_send_output=True,
-    aliases={'TOP'},
-)
-
-
-@alc.assign('bind')
-async def _(  # noqa: PLR0913
-    bot: Bot,
-    event: Event,
-    matcher: Matcher,
-    account: User,
-    bot_info: UserInfo = BotUserInfo(),  # noqa: B008
-    user_info: UserInfo = EventUserInfo(),  # noqa: B008
-):
-    proc = Processor(
-        event_id=id(event),
-        user=account,
-        command_args=[],
-    )
-    try:
-        await (
-            await proc.handle_bind(
-                platform=get_platform(bot), account=event.get_user_id(), bot_info=bot_info, user_info=user_info
-            )
-        ).finish()
-    except NeedCatchError as e:
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-@alc.assign('query')
-async def _(bot: Bot, event: Event, matcher: Matcher, target: At | Me):
-    async with get_session() as session:
-        bind = await query_bind_info(
-            session=session,
-            chat_platform=get_platform(bot),
-            chat_account=(target.target if isinstance(target, At) else event.get_user_id()),
-            game_platform=GAME_TYPE,
-        )
-    if bind is None:
-        await matcher.finish('未查询到绑定信息')
-    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'
-    proc = Processor(
-        event_id=id(event),
-        user=User(name=bind.game_account),
-        command_args=[],
-    )
-    try:
-        await (UniMessage(message) + await proc.handle_query()).finish()
-    except NeedCatchError as e:
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-@alc.assign('query')
-async def _(event: Event, matcher: Matcher, account: User):
-    proc = Processor(
-        event_id=id(event),
-        user=account,
-        command_args=[],
-    )
-    try:
-        await (await proc.handle_query()).finish()
-    except NeedCatchError as e:
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-add_default_handlers(alc)

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/processor.py

@@ -1,165 +0,0 @@
-from contextlib import suppress
-from dataclasses import dataclass
-from io import StringIO
-from re import match
-from typing import Literal
-from urllib.parse import urlencode, urlunparse
-
-from lxml import etree
-from nonebot_plugin_alconna.uniseg import UniMessage
-from nonebot_plugin_orm import get_session
-from nonebot_plugin_userinfo import UserInfo  # type: ignore[import-untyped]
-from pandas import read_html
-from typing_extensions import override
-
-from ...db import BindStatus, create_or_update_bind
-from ...utils.avatar import get_avatar
-from ...utils.exception import MessageFormatError, RequestError
-from ...utils.host import HostPage, get_self_netloc
-from ...utils.render import Bind, render
-from ...utils.request import Request, splice_url
-from ...utils.screenshot import screenshot
-from .. import Processor as ProcessorMeta
-from ..schemas import BaseUser
-from .constant import BASE_URL, GAME_TYPE
-from .schemas.response import ProcessedData, RawResponse
-
-
-class User(BaseUser):
-    platform: Literal['TOP'] = GAME_TYPE
-
-    name: str
-
-    @property
-    @override
-    def unique_identifier(self) -> str:
-        return self.name
-
-
-@dataclass
-class Data:
-    lpm: float
-    apm: float
-
-
-@dataclass
-class GameData:
-    day: Data | None
-    total: Data | None
-
-
-def identify_user_info(info: str) -> User | MessageFormatError:
-    if match(r'^[a-zA-Z0-9_]{1,16}$', info):
-        return User(name=info)
-    return MessageFormatError('用户名不合法')
-
-
-class Processor(ProcessorMeta):
-    user: User
-    raw_response: RawResponse
-    processed_data: ProcessedData
-
-    @override
-    def __init__(self, event_id: int, user: User, command_args: list[str]) -> None:
-        super().__init__(event_id, user, command_args)
-        self.raw_response = RawResponse()
-        self.processed_data = ProcessedData()
-
-    @property
-    @override
-    def game_platform(self) -> Literal['TOP']:
-        return GAME_TYPE
-
-    @override
-    async def handle_bind(self, platform: str, account: str, bot_info: UserInfo, user_info: UserInfo) -> UniMessage:
-        """处理绑定消息"""
-        self.command_type = 'bind'
-        await self.check_user()
-        async with get_session() as session:
-            bind_status = await create_or_update_bind(
-                session=session,
-                chat_platform=platform,
-                chat_account=account,
-                game_platform=GAME_TYPE,
-                game_account=self.user.name,
-            )
-        if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
-            async with HostPage(
-                await render(
-                    'binding',
-                    Bind(
-                        platform=self.game_platform,
-                        status='unknown',
-                        user=Bind.People(
-                            avatar=await get_avatar(user_info, 'Data URI', None),
-                            name=(await self.get_user_name()).upper(),
-                        ),
-                        bot=Bind.People(
-                            avatar=await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg'),
-                            name=bot_info.user_name,
-                        ),
-                        command='top查我',
-                    ),
-                )
-            ) as page_hash:
-                message = UniMessage.image(
-                    raw=await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
-                )
-        return message
-
-    @override
-    async def handle_query(self) -> UniMessage:
-        """处理查询消息"""
-        self.command_type = 'query'
-        await self.check_user()
-        game_data = await self.get_game_data()
-        message = ''
-        if game_data.day is not None:
-            message += f'用户 {self.user.name} 24小时内统计数据为: '
-            message += f"\nL'PM: {round(game_data.day.lpm,2)} ( {round(game_data.day.lpm/24,2)} pps )"
-            message += f'\nAPM: {round(game_data.day.apm,2)} ( x{round(game_data.day.apm/game_data.day.lpm,2)} )'
-        else:
-            message += f'用户 {self.user.name} 暂无24小时内统计数据'
-        if game_data.total is not None:
-            message += '\n历史统计数据为: '
-            message += f"\nL'PM: {round(game_data.total.lpm,2)} ( {round(game_data.total.lpm/24,2)} pps )"
-            message += f'\nAPM: {round(game_data.total.apm,2)} ( x{round(game_data.total.apm/game_data.total.lpm,2)} )'
-        else:
-            message += '\n暂无历史统计数据'
-        return UniMessage(message)
-
-    async def get_user_profile(self) -> str:
-        """获取用户信息"""
-        if self.processed_data.user_profile is None:
-            url = splice_url([BASE_URL, 'profile.php', f'?{urlencode({"user":self.user.name})}'])
-            self.raw_response.user_profile = await Request.request(url, is_json=False)
-            self.processed_data.user_profile = self.raw_response.user_profile.decode()
-        return self.processed_data.user_profile
-
-    async def check_user(self) -> None:
-        if 'user not found!' in await self.get_user_profile():
-            raise RequestError('用户不存在!')
-
-    async def get_user_name(self) -> str:
-        """获取用户名"""
-        data = etree.HTML(await self.get_user_profile()).xpath('//div[@class="mycontent"]/h1/text()')
-        return data[0].replace("'s profile", '')
-
-    async def get_game_data(self) -> GameData:
-        """获取游戏统计数据"""
-        html = etree.HTML(await self.get_user_profile())
-        day = None
-        with suppress(ValueError):
-            day = Data(
-                lpm=float(str(html.xpath('//div[@class="mycontent"]/text()[3]')[0]).replace('lpm:', '').strip()),
-                apm=float(str(html.xpath('//div[@class="mycontent"]/text()[4]')[0]).replace('apm:', '').strip()),
-            )
-        table = StringIO(
-            etree.tostring(
-                html.xpath('//div[@class="mycontent"]/table[@class="mytable"]')[0],
-                encoding='utf-8',
-            ).decode()
-        )
-        dataframe = read_html(table, encoding='utf-8', header=0)[0]
-        total = Data(lpm=dataframe['lpm'].mean(), apm=dataframe['apm'].mean()) if len(dataframe) != 0 else None
-        return GameData(day=day, total=total)

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/schemas/response.py

@@ -1,16 +0,0 @@
-from typing import Literal
-
-from ...schemas import BaseProcessedData, BaseRawResponse
-from ..constant import GAME_TYPE
-
-
-class RawResponse(BaseRawResponse):
-    platform: Literal['TOP'] = GAME_TYPE
-
-    user_profile: bytes | None = None
-
-
-class ProcessedData(BaseProcessedData):
-    platform: Literal['TOP'] = GAME_TYPE
-
-    user_profile: str | None = None

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/__init__.py

@@ -1,197 +0,0 @@
-from typing import NoReturn
-
-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_alconna.uniseg import UniMessage
-from nonebot_plugin_orm import get_session
-from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo  # type: ignore[import-untyped]
-
-from ...db import query_bind_info
-from ...utils.exception import HandleNotFinishedError, NeedCatchError, RequestError
-from ...utils.platform import get_platform
-from ...utils.typing import Me
-from .. import add_default_handlers
-from ..constant import BIND_COMMAND, QUERY_COMMAND
-from .constant import GAME_TYPE
-from .processor import Processor, User, identify_user_info
-
-alc = on_alconna(
-    Alconna(
-        '茶服',
-        Option(
-            BIND_COMMAND[0],
-            Args(
-                Arg(
-                    'account',
-                    identify_user_info,
-                    notice='茶服 用户名 / TeaID',
-                    flags=[ArgFlag.HIDDEN],
-                )
-            ),
-            alias=BIND_COMMAND[1:],
-            compact=True,
-            dest='bind',
-            help_text='绑定 茶服 账号',
-        ),
-        Option(
-            QUERY_COMMAND[0],
-            Args(
-                Arg(
-                    'target',
-                    At | Me,
-                    notice='@想要查询的人 | 自己',
-                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
-                ),
-                Arg(
-                    'account',
-                    identify_user_info,
-                    notice='茶服 用户名 / TeaID',
-                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
-                ),
-                # 如果放在一个 Union Args 里, 验证顺序不能保证, 可能出错
-            ),
-            alias=QUERY_COMMAND[1:],
-            compact=True,
-            dest='query',
-            help_text='查询 茶服 游戏信息',
-        ),
-        Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
-        meta=CommandMeta(
-            description='查询 TetrisOnline茶服 的信息',
-            example='茶服查我',
-            compact=True,
-            fuzzy_match=True,
-        ),
-    ),
-    skip_for_unmatch=False,
-    auto_send_output=True,
-    aliases={'tos', 'TOS'},
-)
-
-
-async def finish_special_query(matcher: Matcher, proc: Processor) -> NoReturn:
-    try:
-        await (await proc.handle_query()).finish()
-    except NeedCatchError as e:
-        if isinstance(e, RequestError) and '未找到此用户' in e.message:
-            matcher.skip()
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-try:
-    from nonebot.adapters.onebot.v11 import GROUP as OB11GROUP
-    from nonebot.adapters.onebot.v11 import Bot as OB11Bot
-    from nonebot.adapters.onebot.v11 import MessageEvent as OB11MessageEvent
-
-    @alc.assign('query')
-    async def _(bot: OB11Bot, event: OB11MessageEvent, matcher: Matcher, target: At | Me):
-        if event.is_tome() and await OB11GROUP(bot, event):
-            await matcher.finish('不能查询bot的信息')
-        proc = Processor(
-            event_id=id(event),
-            user=User(teaid=f'onebot-{target.target}' if isinstance(target, At) else f'onebot-{event.get_user_id()}'),
-            command_args=[],
-        )
-        await finish_special_query(matcher, proc)
-
-except ImportError:
-    pass
-
-try:
-    from nonebot.adapters.kaiheila.event import MessageEvent as KookMessageEvent
-
-    @alc.assign('query')
-    async def _(event: KookMessageEvent, matcher: Matcher, target: At | Me):
-        proc = Processor(
-            event_id=id(event),
-            user=User(teaid=f'kook-{target.target}' if isinstance(target, At) else f'kook-{event.get_user_id()}'),
-            command_args=[],
-        )
-        await finish_special_query(matcher, proc)
-
-except ImportError:
-    pass
-
-try:
-    from nonebot.adapters.discord import MessageEvent as DiscordMessageEvent
-
-    @alc.assign('query')
-    async def _(event: DiscordMessageEvent, matcher: Matcher, target: At | Me):
-        proc = Processor(
-            event_id=id(event),
-            user=User(teaid=f'discord-{target.target}' if isinstance(target, At) else f'discord-{event.get_user_id()}'),
-            command_args=[],
-        )
-        await finish_special_query(matcher, proc)
-
-except ImportError:
-    pass
-
-
-@alc.assign('bind')
-async def _(  # noqa: PLR0913
-    bot: Bot,
-    event: Event,
-    matcher: Matcher,
-    account: User,
-    bot_info: UserInfo = BotUserInfo(),  # noqa: B008
-    user_info: UserInfo = EventUserInfo(),  # noqa: B008
-):
-    proc = Processor(
-        event_id=id(event),
-        user=account,
-        command_args=[],
-    )
-    try:
-        await (
-            await proc.handle_bind(
-                platform=get_platform(bot), account=event.get_user_id(), bot_info=bot_info, nb_user_info=user_info
-            )
-        ).finish()
-    except NeedCatchError as e:
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-@alc.assign('query')
-async def _(bot: Bot, event: Event, matcher: Matcher, target: At | Me):
-    async with get_session() as session:
-        bind = await query_bind_info(
-            session=session,
-            chat_platform=get_platform(bot),
-            chat_account=(target.target if isinstance(target, At) else event.get_user_id()),
-            game_platform=GAME_TYPE,
-        )
-    if bind is None:
-        await matcher.finish('未查询到绑定信息')
-    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'
-    proc = Processor(
-        event_id=id(event),
-        user=User(teaid=bind.game_account),
-        command_args=[],
-    )
-    try:
-        await (UniMessage(message) + await proc.handle_query()).finish()
-    except NeedCatchError as e:
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-@alc.assign('query')
-async def _(event: Event, matcher: Matcher, account: User):
-    proc = Processor(
-        event_id=id(event),
-        user=account,
-        command_args=[],
-    )
-    try:
-        await (await proc.handle_query()).finish()
-    except NeedCatchError as e:
-        await matcher.send(str(e))
-        raise HandleNotFinishedError from e
-
-
-add_default_handlers(alc)

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/processor.py

@@ -1,257 +0,0 @@
-from dataclasses import dataclass
-from re import match
-from typing import Literal
-from urllib.parse import urlencode, urlunparse
-
-from httpx import TimeoutException
-from nonebot.compat import type_validate_json
-from nonebot_plugin_alconna.uniseg import UniMessage
-from nonebot_plugin_orm import get_session
-from nonebot_plugin_userinfo import UserInfo as NBUserInfo  # type: ignore[import-untyped]
-from typing_extensions import override
-
-from ...db import BindStatus, create_or_update_bind
-from ...utils.avatar import get_avatar
-from ...utils.exception import MessageFormatError, RequestError
-from ...utils.host import HostPage, get_self_netloc
-from ...utils.render import Bind, render
-from ...utils.request import Request, splice_url
-from ...utils.screenshot import screenshot
-from .. import Processor as ProcessorMeta
-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
-
-
-class User(BaseUser):
-    platform: Literal['TOS'] = GAME_TYPE
-
-    teaid: str | None = None
-    name: str | None = None
-
-    @property
-    @override
-    def unique_identifier(self) -> str:
-        if self.teaid is None:
-            raise ValueError('不完整的User!')
-        return self.teaid
-
-
-@dataclass
-class GameData:
-    num: int
-    pps: float
-    lpm: float
-    apm: float
-    adpm: float
-    apl: float
-    adpl: float
-    vs: float
-
-
-def identify_user_info(info: str) -> User | MessageFormatError:
-    if (
-        match(
-            r'^(?!\.)(?!com[0-9]$)(?!con$)(?!lpt[0-9]$)(?!nul$)(?!prn$)[^\-][^\+][^\|\*\?\\\s\!:<>/$"]*[^\.\|\*\?\\\s\!:<>/$"]+$',
-            info,
-        )
-        and info.isdigit() is False
-        and 2 <= len(info) <= 18  # noqa: PLR2004
-    ):
-        return User(name=info)
-    if info.startswith(('onebot-', 'qqguild-', 'kook-', 'discord-')) and info.split('-', maxsplit=1)[1].isdigit():
-        return User(teaid=info)
-    return MessageFormatError('用户名/QQ号不合法')
-
-
-class Processor(ProcessorMeta):
-    user: User
-    raw_response: RawResponse
-    processed_data: ProcessedData
-
-    @override
-    def __init__(self, event_id: int, user: User, command_args: list[str]) -> None:
-        super().__init__(event_id, user, command_args)
-        self.raw_response = RawResponse(user_profile={})
-        self.processed_data = ProcessedData(user_profile={})
-
-    @property
-    @override
-    def game_platform(self) -> Literal['TOS']:
-        return GAME_TYPE
-
-    @override
-    async def handle_bind(
-        self, platform: str, account: str, bot_info: NBUserInfo, nb_user_info: NBUserInfo
-    ) -> UniMessage:
-        """处理绑定消息"""
-        self.command_type = 'bind'
-        await self.get_user()
-        async with get_session() as session:
-            bind_status = await create_or_update_bind(
-                session=session,
-                chat_platform=platform,
-                chat_account=account,
-                game_platform=GAME_TYPE,
-                game_account=self.user.unique_identifier,
-            )
-        user_info = await self.get_user_info()
-        if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
-            async with HostPage(
-                await render(
-                    'binding',
-                    Bind(
-                        platform=self.game_platform,
-                        status='unknown',
-                        user=Bind.People(
-                            avatar=await get_avatar(nb_user_info, 'Data URI', None), name=user_info.data.name
-                        ),
-                        bot=Bind.People(
-                            avatar=await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg'),
-                            name=bot_info.user_name,
-                        ),
-                        command='茶服查我',
-                    ),
-                )
-            ) as page_hash:
-                message = UniMessage.image(
-                    raw=await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
-                )
-        return message
-
-    @override
-    async def handle_query(self) -> UniMessage:
-        """处理查询消息"""
-        self.command_type = 'query'
-        await self.get_user()
-        user_info = (await self.get_user_info()).data
-        message = f'用户 {user_info.name} ({user_info.teaid}) '
-        if user_info.ranked_games == '0':
-            message += '暂无段位统计数据'
-        else:
-            message += f', 段位分 {round(float(user_info.rating_now),2)}±{round(float(user_info.rd_now),2)} ({round(float(user_info.vol_now),2)}) '
-        game_data = await self.get_game_data()
-        if game_data is None:
-            message += ', 暂无游戏数据'
-        else:
-            message += f', 最近 {game_data.num} 局数据'
-            message += f"\nL'PM: {game_data.lpm} ( {game_data.pps} pps )"
-            message += f'\nAPM: {game_data.apm} ( x{game_data.apl} )'
-            message += f'\nADPM: {game_data.adpm} ( x{game_data.adpl} ) ( {game_data.vs}vs )'
-        message += f'\n40L: {float(user_info.pb_sprint)/1000:.2f}s' if user_info.pb_sprint != '2147483647' else ''
-        message += f'\nMarathon: {user_info.pb_marathon}' if user_info.pb_marathon != '0' else ''
-        message += f'\nChallenge: {user_info.pb_challenge}' if user_info.pb_challenge != '0' else ''
-        return UniMessage(message)
-
-    async def get_user(self) -> None:
-        """
-        用于获取 UserName 和 UserID 的函数
-        """
-        if self.user.name is None:
-            self.user.name = (await self.get_user_info()).data.name
-        if self.user.teaid is None:
-            self.user.teaid = (await self.get_user_info()).data.teaid
-
-    async def get_user_info(self) -> InfoSuccess:
-        """获取用户信息"""
-        if self.processed_data.user_info is None:
-            if self.user.teaid is not None:
-                url = [
-                    splice_url(
-                        [
-                            i,
-                            'getTeaIdInfo',
-                            f'?{urlencode({"teaId":self.user.teaid})}',
-                        ]
-                    )
-                    for i in BASE_URL
-                ]
-            else:
-                url = [
-                    splice_url(
-                        [
-                            i,
-                            'getUsernameInfo',
-                            f'?{urlencode({"username":self.user.name})}',
-                        ]
-                    )
-                    for i in BASE_URL
-                ]
-            self.raw_response.user_info = await Request.failover_request(
-                url, failover_code=[502], failover_exc=(TimeoutException,)
-            )
-            user_info: UserInfo = type_validate_json(UserInfo, self.raw_response.user_info)  # type: ignore[arg-type]
-            if not isinstance(user_info, InfoSuccess):
-                raise RequestError(f'用户信息请求错误:\n{user_info.error}')
-            self.processed_data.user_info = user_info
-        return self.processed_data.user_info
-
-    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 = {}
-        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.failover_request(
-                [
-                    splice_url(
-                        [
-                            i,
-                            'getProfile',
-                            f'?{urlencode({"id":self.user.teaid or self.user.name,**other_parameter})}',
-                        ]
-                    )
-                    for i in BASE_URL
-                ],
-                failover_code=[502],
-                failover_exc=(TimeoutException,),
-            )
-            self.processed_data.user_profile[params] = type_validate_json(
-                UserProfile, 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"""
-        user_profile = await self.get_user_profile()
-        if user_profile.data == []:
-            return None
-        weighted_total_lpm = weighted_total_apm = weighted_total_adpm = 0.0
-        total_time = 0.0
-        num = 0
-        for i in user_profile.data:
-            # 排除单人局和时间为0的游戏
-            # 茶: 不计算没挖掘的局, 即使apm和lpm也如此
-            if i.num_players == 1 or i.time == 0 or i.dig is None:
-                continue
-            # 加权计算
-            time = i.time / 1000
-            lpm = 24 * (i.pieces / time)
-            apm = (i.attack / time) * 60
-            adpm = ((i.attack + i.dig) / time) * 60
-            weighted_total_lpm += lpm * time
-            weighted_total_apm += apm * time
-            weighted_total_adpm += adpm * time
-            total_time += time
-            num += 1
-            if num == 50:  # noqa: PLR2004  # TODO: 将查询局数作为可选命令参数
-                break
-        if num == 0:
-            return None
-        # TODO: 如果有效局数不满50, 没有无dig信息的局, 且userData['data']内有50个局, 则继续往前获取信息
-        lpm = weighted_total_lpm / total_time
-        apm = weighted_total_apm / total_time
-        adpm = weighted_total_adpm / total_time
-        return GameData(
-            num=num,
-            pps=round(lpm / 24, 2),
-            lpm=round(lpm, 2),
-            apm=round(apm, 2),
-            adpm=round(adpm, 2),
-            apl=round((apm / lpm), 2),
-            adpl=round((adpm / lpm), 2),
-            vs=round((adpm / 60 * 100), 2),
-        )

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/schemas/response.py

@@ -1,20 +0,0 @@
-from typing import Literal
-
-from ...schemas import BaseProcessedData, BaseRawResponse
-from ..constant import GAME_TYPE
-from .user_info import SuccessModel as InfoSuccess
-from .user_profile import UserProfile
-
-
-class RawResponse(BaseRawResponse):
-    platform: Literal['TOS'] = GAME_TYPE
-
-    user_profile: dict[str, bytes]
-    user_info: bytes | None = None
-
-
-class ProcessedData(BaseProcessedData):
-    platform: Literal['TOS'] = GAME_TYPE
-
-    user_profile: dict[str, UserProfile]
-    user_info: InfoSuccess | None = None

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/schemas/user_info.py

@@ -1,86 +0,0 @@
-from datetime import datetime
-from typing import Literal
-
-from pydantic import BaseModel, Field
-
-
-class SuccessModel(BaseModel):
-    class Data(BaseModel):
-        class PeriodMatch(BaseModel):
-            name: str
-            teaid: str = Field(..., alias='teaId')
-            rating: str
-            rd: str
-            start_time: datetime = Field(..., alias='startTime')
-            end_time: datetime = Field(..., alias='endTime')
-            win: str
-            lose: str
-            score: str
-
-        class UserDataTotalItem(BaseModel):
-            time_map: str = Field(..., alias='timeMap')
-            pieces_map: str = Field(..., alias='piecesMap')
-            clear_lines_map: str = Field(..., alias='clearLinesMap')
-            attacks_map: str = Field(..., alias='attacksMap')
-            dig_map: str = Field(..., alias='digMap')
-            send_map: str = Field(..., alias='sendMap')
-            rise_map: str = Field(..., alias='riseMap')
-            offset_map: str = Field(..., alias='offsetMap')
-            receive_map: str = Field(..., alias='receiveMap')
-            games_map: str = Field(..., alias='gamesMap')
-            tetris_map: str = Field(..., alias='tetrisMap')
-            combo_map: str = Field(..., alias='comboMap')
-            tspin_map: str = Field(..., alias='tspinMap')
-            b2b_map: str = Field(..., alias='b2bMap')
-            perfect_clear_map: str = Field(..., alias='perfectClearMap')
-            time_no_map: str = Field(..., alias='timeNoMap')
-            pieces_no_map: str = Field(..., alias='piecesNoMap')
-            clear_lines_no_map: str = Field(..., alias='clearLinesNoMap')
-            attacks_no_map: str = Field(..., alias='attacksNoMap')
-            dig_no_map: str = Field(..., alias='digNoMap')
-            send_no_map: str = Field(..., alias='sendNoMap')
-            rise_no_map: str = Field(..., alias='riseNoMap')
-            offset_no_map: str = Field(..., alias='offsetNoMap')
-            receive_no_map: str = Field(..., alias='receiveNoMap')
-            games_no_map: str = Field(..., alias='gamesNoMap')
-            tetris_no_map: str = Field(..., alias='tetrisNoMap')
-            combo_no_map: str = Field(..., alias='comboNoMap')
-            tspin_no_map: str = Field(..., alias='tspinNoMap')
-            b2b_no_map: str = Field(..., alias='b2bNoMap')
-            perfect_clear_no_map: str = Field(..., alias='perfectClearNoMap')
-
-        teaid: str = Field(..., alias='teaId')
-        name: str
-        total_exp: str = Field(..., alias='totalExp')
-        ranking: str
-        ranked_games: str = Field(..., alias='rankedGames')
-        rating_now: str = Field(..., alias='ratingNow')
-        rd_now: str = Field(..., alias='rdNow')
-        vol_now: str = Field(..., alias='volNow')
-        rating_last: str = Field(..., alias='ratingLast')
-        rd_last: str = Field(..., alias='rdLast')
-        vol_last: str = Field(..., alias='volLast')
-        period_matches: list[PeriodMatch] = Field(..., alias='periodMatches')
-        user_data_total: list[UserDataTotalItem] = Field(..., alias='userDataTotal')
-        ranking_items: str = Field(..., alias='rankingItems')
-        ranking_game_items: str = Field(..., alias='rankingGameItems')
-        training_level: str = Field(..., alias='trainingLevel')
-        training_wins: str = Field(..., alias='trainingWins')
-        pb_sprint: str = Field(..., alias='PBSprint')
-        pb_marathon: str = Field(..., alias='PBMarathon')
-        pb_challenge: str = Field(..., alias='PBChallenge')
-        register_date: datetime = Field(..., alias='registerDate')
-        last_login_date: datetime = Field(..., alias='lastLoginDate')
-
-    code: int
-    success: Literal[True]
-    data: Data
-
-
-class FailedModel(BaseModel):
-    code: int
-    success: Literal[False]
-    error: str
-
-
-UserInfo = SuccessModel | FailedModel

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/schemas/user_profile.py

@@ -1,33 +0,0 @@
-from datetime import datetime
-from typing import Literal
-
-from pydantic import BaseModel
-
-
-class UserProfile(BaseModel):
-    class Data(BaseModel):
-        idmultiplayergameresult: int
-        iduser: str
-        teaid: str
-        time: int
-        clear_lines: int
-        attack: int
-        send: int
-        offset: int
-        receive: int
-        rise: int
-        dig: int
-        pieces: int
-        max_combo: int
-        pc_count: int
-        place: int
-        num_players: int
-        fumen_code: Literal['0', '1']  # wtf
-        rule_set: str
-        garbage: str
-        idmultiplayergame: int
-        datetime: datetime
-
-    code: int
-    success: bool
-    data: list[Data]

nonebot_plugin_tetris_stats/games/__init__.py

@@ -0,0 +1,53 @@
+from collections.abc import Callable
+
+from nonebot.adapters import Bot
+from nonebot.matcher import Matcher
+from nonebot.message import run_postprocessor
+from nonebot.typing import T_Handler
+from nonebot_plugin_alconna import AlcMatches, Alconna, At, CommandMeta, on_alconna
+
+from .. import ns
+from ..utils.exception import MessageFormatError, NeedCatchError
+
+alc = on_alconna(
+    Alconna(
+        ['tetris-stats', 'tstats'],
+        namespace=ns,
+        meta=CommandMeta(
+            description='俄罗斯方块相关游戏数据查询',
+            fuzzy_match=True,
+        ),
+    ),
+    skip_for_unmatch=False,
+    auto_send_output=True,
+    use_origin=True,
+)
+
+
+def add_block_handlers(handler: Callable[[T_Handler], T_Handler]) -> None:
+    @handler
+    async def _(bot: Bot, matcher: Matcher, target: At):
+        if isinstance(target, At) and target.target == bot.self_id:
+            await matcher.finish('不能查询bot的信息')
+
+
+from . import tetrio, top, tos  # noqa: F401, E402
+
+
+@alc.handle()
+async def _(matcher: Matcher, account: MessageFormatError):
+    await matcher.finish(str(account))
+
+
+@alc.handle()
+async def _(matcher: Matcher, matches: AlcMatches):
+    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'
+        )
+
+
+@run_postprocessor
+async def _(matcher: Matcher, exception: NeedCatchError):
+    await matcher.send(str(exception))

nonebot_plugin_tetris_stats/games/constant.py

@@ -1,2 +1,3 @@
 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

@@ -21,11 +21,3 @@ class BaseUser(ABC, Base):
     @abstractmethod
     def unique_identifier(self) -> str:
         raise NotImplementedError
-
-
-class BaseRawResponse(Base):
-    """原始请求数据"""
-
-
-class BaseProcessedData(Base):
-    """处理/验证后的数据"""

nonebot_plugin_tetris_stats/games/tetrio/__init__.py

@@ -0,0 +1,166 @@
+from arclet.alconna import Arg, ArgFlag, Args, Option, Subcommand
+from nonebot_plugin_alconna import At
+
+from ...utils.exception import MessageFormatError
+from ...utils.typing import Me
+from .. import add_block_handlers, alc
+from .api import Player
+from .api.typing import ValidRank
+from .constant import USER_ID, USER_NAME
+from .typing import Template
+
+
+def get_player(user_id_or_name: str) -> Player | MessageFormatError:
+    if USER_ID.match(user_id_or_name):
+        return Player(user_id=user_id_or_name, trust=True)
+    if USER_NAME.match(user_id_or_name):
+        return Player(user_name=user_id_or_name, trust=True)
+    return MessageFormatError('用户名/ID不合法')
+
+
+alc.command.add(
+    Subcommand(
+        'TETR.IO',
+        Subcommand(
+            'bind',
+            Args(
+                Arg(
+                    'account',
+                    get_player,
+                    notice='TETR.IO 用户名 / ID',
+                    flags=[ArgFlag.HIDDEN],
+                )
+            ),
+            help_text='绑定 TETR.IO 账号',
+        ),
+        Subcommand(
+            'query',
+            Args(
+                Arg(
+                    'target',
+                    At | Me,
+                    notice='@想要查询的人 / 自己',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+                Arg(
+                    'account',
+                    get_player,
+                    notice='TETR.IO 用户名 / ID',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+            ),
+            Option(
+                '--template',
+                Arg('template', Template),
+                alias=['-T'],
+                help_text='要使用的查询模板',
+            ),
+            help_text='查询 TETR.IO 游戏信息',
+        ),
+        Subcommand(
+            'record',
+            Option(
+                '--40l',
+                dest='sprint',
+            ),
+            Option(
+                '--blitz',
+                dest='blitz',
+            ),
+            Args(
+                Arg(
+                    'target',
+                    At | Me,
+                    notice='@想要查询的人 / 自己',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+                Arg(
+                    'account',
+                    get_player,
+                    notice='TETR.IO 用户名 / ID',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+            ),
+        ),
+        Subcommand(
+            'rank',
+            Args(Arg('rank', ValidRank, notice='TETR.IO 段位')),
+            help_text='查询 TETR.IO 段位信息',
+        ),
+        Subcommand(
+            'config',
+            Option(
+                '--default-template',
+                Arg('template', Template),
+                alias=['-DT', 'DefaultTemplate'],
+            ),
+        ),
+        dest='TETRIO',
+        help_text='TETR.IO 游戏相关指令',
+    )
+)
+
+alc.shortcut(
+    '(?i:io)(?i:绑定|绑|bind)',
+    {
+        'command': 'tstats TETR.IO bind',
+        'humanized': 'io绑定',
+    },
+)
+alc.shortcut(
+    '(?i:io)(?i:查询|查|query|stats)',
+    {
+        'command': 'tstats TETR.IO query',
+        'humanized': 'io查',
+    },
+)
+alc.shortcut(
+    '(?i:io)(?i:记录|record)(?i:40l)',
+    {
+        'command': 'tstats TETR.IO record --40l',
+        'humanized': 'io记录40l',
+    },
+)
+alc.shortcut(
+    '(?i:io)(?i:记录|record)(?i:blitz)',
+    {
+        'command': 'tstats TETR.IO record --blitz',
+        'humanized': 'io记录blitz',
+    },
+)
+alc.shortcut(
+    '(?i:io)(?i:段位|段|rank)',
+    {
+        'command': 'tstats TETR.IO rank',
+        'humanized': 'iorank',
+    },
+)
+alc.shortcut(
+    '(?i:io)(?i:配置|配|config)',
+    {
+        'command': 'tstats TETR.IO config',
+        'humanized': 'io配置',
+    },
+)
+
+alc.shortcut(
+    'fkosk',
+    {
+        'command': 'tstats TETR.IO query',
+        'args': ['我'],
+        'fuzzy': False,
+        'humanized': 'An Easter egg!',
+    },
+)
+
+add_block_handlers(alc.assign('TETRIO.query'))
+
+from . import bind, config, query, rank, record  # noqa: E402
+
+__all__ = [
+    'bind',
+    'config',
+    'query',
+    'rank',
+    'record',
+]

nonebot_plugin_tetris_stats/games/tetrio/api/__init__.py

@@ -0,0 +1,7 @@
+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']

nonebot_plugin_tetris_stats/games/tetrio/api/cache.py

@@ -1,10 +1,13 @@
+from asyncio import Lock
 from datetime import datetime, timezone
+from typing import ClassVar
+from weakref import WeakValueDictionary
 
 from aiocache import Cache as ACache  # type: ignore[import-untyped]
 from nonebot.compat import type_validate_json
 from nonebot.log import logger
 
-from ...utils.request import Request
+from ....utils.request import Request
 from .schemas.base import FailedModel, SuccessModel
 
 UTC = timezone.utc
@@ -12,11 +15,15 @@ UTC = timezone.utc
 
 class Cache:
     cache = ACache(ACache.MEMORY)
+    task: ClassVar[WeakValueDictionary[str, Lock]] = WeakValueDictionary()
 
     @classmethod
     async def get(cls, url: str) -> bytes:
-        cached_data = await cls.cache.get(url)
-        if cached_data is None:
+        lock = cls.task.setdefault(url, Lock())
+        async with lock:
+            if (cached_data := await cls.cache.get(url)) is not None:
+                logger.debug(f'{url}: Cache hit!')
+                return cached_data
             response_data = await Request.request(url)
             parsed_data: SuccessModel | FailedModel = type_validate_json(SuccessModel | FailedModel, response_data)  # type: ignore[arg-type]
             if isinstance(parsed_data, SuccessModel):
@@ -26,5 +33,3 @@ class Cache:
                     (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/games/tetrio/api/models.py

@@ -0,0 +1,17 @@
+from datetime import datetime
+from typing import Literal
+
+from nonebot_plugin_orm import Model
+from sqlalchemy import DateTime, String
+from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
+
+from ....db.models import PydanticType
+from .schemas.base import SuccessModel
+
+
+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', 'User Records']] = mapped_column(String(16), 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

@@ -0,0 +1,114 @@
+from typing import overload
+
+from nonebot.compat import type_validate_json
+
+from ....db import anti_duplicate_add
+from ....utils.exception import RequestError
+from ....utils.request import splice_url
+from ..constant import BASE_URL, USER_ID, USER_NAME
+from .cache import Cache
+from .models import TETRIOHistoricalData
+from .schemas.base import FailedModel
+from .schemas.user import User
+from .schemas.user_info import UserInfo, UserInfoSuccess
+from .schemas.user_records import SoloModeRecord, UserRecords, UserRecordsSuccess, Zen
+
+
+class Player:
+    @overload
+    def __init__(self, *, user_id: str, trust: bool = False): ...
+    @overload
+    def __init__(self, *, user_name: str, trust: bool = False): ...
+    def __init__(self, *, user_id: str | None = None, user_name: str | None = None, trust: bool = False):
+        self.user_id = user_id
+        self.user_name = user_name
+        if not trust:
+            if self.user_id is not None:
+                if not USER_ID.match(self.user_id):
+                    msg = 'Invalid user id'
+                    raise ValueError(msg)
+            elif self.user_name is not None:
+                if not USER_NAME.match(self.user_name):
+                    msg = 'Invalid user name'
+                    raise ValueError(msg)
+            else:
+                msg = 'Invalid user'
+                raise ValueError(msg)
+        self.__user: User | None = None
+        self._user_info: UserInfoSuccess | None = None
+        self._user_records: UserRecordsSuccess | None = None
+
+    @property
+    def _request_user_parameter(self) -> str:
+        if self.user_id is not None:
+            return self.user_id
+        if self.user_name is not None:
+            return self.user_name.lower()
+        msg = 'Invalid user'
+        raise ValueError(msg)
+
+    @property
+    async def user(self) -> User:
+        if self.__user is None:
+            user_info = await self.get_info()
+            self.__user = User(
+                ID=user_info.data.user.id,
+                name=user_info.data.user.username,
+            )
+            self.user_id = user_info.data.user.id
+            self.user_name = user_info.data.user.username
+        return self.__user
+
+    async def get_info(self) -> UserInfoSuccess:
+        """Get User Info"""
+        if self._user_info is None:
+            raw_user_info = await Cache.get(splice_url([BASE_URL, 'users/', f'{self._request_user_parameter}']))
+            user_info: UserInfo = type_validate_json(UserInfo, raw_user_info)  # type: ignore[arg-type]
+            if isinstance(user_info, FailedModel):
+                msg = f'用户信息请求错误:\n{user_info.error}'
+                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',
+                    data=user_info,
+                    update_time=user_info.cache.cached_at,
+                ),
+            )
+        return self._user_info
+
+    async def get_records(self) -> UserRecordsSuccess:
+        """Get User Records"""
+        if self._user_records is None:
+            raw_user_records = await Cache.get(
+                splice_url([BASE_URL, 'users/', f'{self._request_user_parameter}/', 'records'])
+            )
+            user_records: UserRecords = type_validate_json(UserRecords, raw_user_records)  # type: ignore[arg-type]
+            if isinstance(user_records, FailedModel):
+                msg = f'用户Solo数据请求错误:\n{user_records.error}'
+                raise RequestError(msg)
+            self._user_records = user_records
+            await anti_duplicate_add(
+                TETRIOHistoricalData,
+                TETRIOHistoricalData(
+                    user_unique_identifier=(await self.user).unique_identifier,
+                    api_type='User Records',
+                    data=user_records,
+                    update_time=user_records.cache.cached_at,
+                ),
+            )
+        return self._user_records
+
+    @property
+    async def sprint(self) -> SoloModeRecord:
+        return (await self.get_records()).data.records.sprint
+
+    @property
+    async def blitz(self) -> SoloModeRecord:
+        return (await self.get_records()).data.records.blitz
+
+    @property
+    async def zen(self) -> Zen:
+        return (await self.get_records()).data.zen

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

@@ -0,0 +1,59 @@
+from pydantic import BaseModel, Field
+
+from ..typing import Rank
+from .base import FailedModel
+from .base import SuccessModel as BaseSuccessModel
+
+
+class _User(BaseModel):
+    id: str = Field(..., alias='_id')
+    username: str
+    role: str
+    xp: float
+    supporter: bool
+    verified: bool
+    country: str | None = None
+
+
+class _League(BaseModel):
+    gamesplayed: int
+    gameswon: int
+    rating: float
+    rank: Rank
+    bestrank: Rank
+    decaying: bool
+
+
+class ValidLeague(_League):
+    glicko: float
+    rd: float
+    apm: float
+    pps: float
+    vs: float
+
+
+class ValidUser(_User):
+    league: ValidLeague
+
+
+class InvalidLeague(_League):
+    glicko: float | None = None
+    rd: float | None = None
+    apm: float | None = None
+    pps: float | None = None
+    vs: float | None = None
+
+
+class InvalidUser(_User):
+    league: InvalidLeague
+
+
+class Data(BaseModel):
+    users: list[ValidUser | InvalidUser]
+
+
+class TetraLeagueSuccess(BaseSuccessModel):
+    data: Data
+
+
+TetraLeague = TetraLeagueSuccess | FailedModel

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

@@ -0,0 +1,18 @@
+from typing import Literal
+
+from typing_extensions import override
+
+from ....schemas import BaseUser
+from ...constant import GAME_TYPE
+
+
+class User(BaseUser):
+    platform: Literal['IO'] = GAME_TYPE
+
+    ID: str
+    name: str
+
+    @property
+    @override
+    def unique_identifier(self) -> str:
+        return self.ID

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

@@ -0,0 +1,133 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from ..typing import Rank
+from .base import FailedModel
+from .base import SuccessModel as BaseSuccessModel
+
+
+class Badge(BaseModel):
+    id: str
+    label: str
+    group: str | None = None
+    ts: datetime | Literal[False] | None = None
+
+
+class MetaLeague(BaseModel):
+    decaying: bool
+
+
+class NeverPlayedLeague(MetaLeague):
+    gamesplayed: Literal[0]
+    gameswon: Literal[0]
+    rating: Literal[-1]
+    rank: Literal['z']
+    standing: Literal[-1]
+    standing_local: Literal[-1]
+    next_rank: None
+    prev_rank: None
+    next_at: Literal[-1]
+    prev_at: Literal[-1]
+    percentile: Literal[-1]
+    percentile_rank: Literal['z']
+    apm: None = None
+    pps: None = None
+    vs: None = None
+
+
+class NeverRatedLeague(MetaLeague):
+    gamesplayed: Literal[1, 2, 3, 4, 5, 6, 7, 8, 9]
+    gameswon: int
+    rating: Literal[-1]
+    rank: Literal['z']
+    standing: Literal[-1]
+    standing_local: Literal[-1]
+    next_rank: None
+    prev_rank: None
+    next_at: Literal[-1]
+    prev_at: Literal[-1]
+    percentile: Literal[-1]
+    percentile_rank: Literal['z']
+    apm: float
+    pps: float
+    vs: float | None = None
+
+
+class RatedLeague(MetaLeague):
+    gamesplayed: int
+    gameswon: int
+    rating: float
+    rank: Rank
+    bestrank: Rank
+    standing: int
+    standing_local: int
+    next_rank: Rank | None = None
+    prev_rank: Rank | None = None
+    next_at: int
+    prev_at: int
+    percentile: float
+    percentile_rank: str
+    glicko: float
+    rd: float
+    apm: float
+    pps: float
+    vs: float | None = None
+
+
+class Discord(BaseModel):
+    id: str
+    username: str
+
+
+class Connections(BaseModel):
+    discord: Discord | None = None
+
+
+class Distinguishment(BaseModel):
+    type: str
+
+
+class User(BaseModel):
+    id: str = Field(..., alias='_id')
+    username: str
+    role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'banned']
+    ts: datetime | None = None
+    botmaster: str | None = None
+    badges: list[Badge]
+    xp: float
+    gamesplayed: int
+    gameswon: int
+    gametime: float
+    country: str | None = None
+    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
+    league: NeverPlayedLeague | NeverRatedLeague | RatedLeague
+    avatar_revision: int | None = None
+    """This user's avatar ID. Get their avatar at
+
+    https://tetr.io/user-content/avatars/{ USERID }.jpg?rv={ AVATAR_REVISION }"""
+    banner_revision: int | None = None
+    """This user's banner ID. Get their banner at
+
+    https://tetr.io/user-content/banners/{ USERID }.jpg?rv={ BANNER_REVISION }
+
+    Ignore this field if the user is not a supporter."""
+    bio: str | None = None
+    connections: Connections
+    friend_count: int | None = None
+    distinguishment: Distinguishment | None = None
+
+
+class Data(BaseModel):
+    user: User
+
+
+class UserInfoSuccess(BaseSuccessModel):
+    data: Data
+
+
+UserInfo = UserInfoSuccess | FailedModel

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

@@ -0,0 +1,122 @@
+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/tetra_league.py

@@ -0,0 +1,36 @@
+from typing import Literal, NamedTuple, overload
+
+from nonebot.compat import type_validate_json
+
+from ....utils.exception import RequestError
+from ....utils.request import splice_url
+from ..constant import BASE_URL
+from .cache import Cache
+from .schemas.base import FailedModel
+from .schemas.tetra_league import TetraLeague, TetraLeagueSuccess
+
+
+class FullExport(NamedTuple):
+    model: TetraLeagueSuccess
+    original: bytes
+
+
+@overload
+async def full_export(*, with_original: Literal[False]) -> TetraLeagueSuccess: ...
+
+
+@overload
+async def full_export(*, with_original: Literal[True]) -> FullExport: ...
+
+
+async def full_export(*, with_original: bool) -> TetraLeagueSuccess | FullExport:
+    full: TetraLeague = type_validate_json(
+        TetraLeague,  # type: ignore[arg-type]
+        (data := await Cache.get(splice_url([BASE_URL, 'users/lists/league/all']))),
+    )
+    if isinstance(full, FailedModel):
+        msg = f'排行榜数据请求错误:\n{full.error}'
+        raise RequestError(msg)
+    if with_original:
+        return FullExport(full, data)
+    return full

nonebot_plugin_tetris_stats/games/tetrio/api/typing.py

@@ -1,6 +1,6 @@
 from typing import Literal
 
-Rank = Literal[
+ValidRank = Literal[
     'x',
     'u',
     'ss',
@@ -18,5 +18,6 @@ Rank = Literal[
     'c-',
     'd+',
     'd',
-    'z',  # 未定级
 ]
+
+Rank = ValidRank | Literal['z']  # 未定级

nonebot_plugin_tetris_stats/games/tetrio/bind.py

@@ -0,0 +1,62 @@
+from asyncio import gather
+from hashlib import md5
+from urllib.parse import urlencode
+
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import User  # type: ignore[import-untyped]
+from nonebot_plugin_userinfo import BotUserInfo, UserInfo  # type: ignore[import-untyped]
+
+from ...db import BindStatus, create_or_update_bind, trigger
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.image import get_avatar
+from ...utils.render import Bind, render
+from ...utils.render.schemas.base import Avatar, People
+from ...utils.screenshot import screenshot
+from . import alc
+from .api import Player
+from .constant import GAME_TYPE
+
+
+@alc.assign('TETRIO.bind')
+async def _(nb_user: User, account: Player, event_session: EventSession, bot_info: UserInfo = BotUserInfo()):  # noqa: B008
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='bind',
+        command_args=[],
+    ):
+        user, user_info = await gather(account.user, account.get_info())
+        async with get_session() as session:
+            bind_status = await create_or_update_bind(
+                session=session,
+                user=nb_user,
+                game_platform=GAME_TYPE,
+                game_account=user.unique_identifier,
+            )
+        if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
+            netloc = get_self_netloc()
+            async with HostPage(
+                await render(
+                    'v1/binding',
+                    Bind(
+                        platform='TETR.IO',
+                        status='unknown',
+                        user=People(
+                            avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
+                            if user_info.data.user.avatar_revision is not None
+                            and user_info.data.user.avatar_revision != 0
+                            else Avatar(type='identicon', hash=md5(user_info.data.user.id.encode()).hexdigest()),  # noqa: S324
+                            name=user_info.data.user.username.upper(),
+                        ),
+                        bot=People(
+                            avatar=await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg'),
+                            name=bot_info.user_name,
+                        ),
+                        command='io查我',
+                    ),
+                )
+            ) as page_hash:
+                await UniMessage.image(raw=await screenshot(f'http://{netloc}/host/{page_hash}.html')).finish()

nonebot_plugin_tetris_stats/games/tetrio/config.py

@@ -0,0 +1,20 @@
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import async_scoped_session
+from nonebot_plugin_user import User  # type: ignore[import-untyped]
+from sqlalchemy import select
+
+from . import alc
+from .models import TETRIOUserConfig
+from .typing import Template
+
+
+@alc.assign('TETRIO.config')
+async def _(user: User, session: async_scoped_session, template: Template):
+    config = (await session.scalars(select(TETRIOUserConfig).where(TETRIOUserConfig.id == user.id))).one_or_none()
+    if config is None:
+        config = TETRIOUserConfig(id=user.id, query_template=template)
+        session.add(config)
+    else:
+        config.query_template = template
+    await session.commit()
+    await UniMessage('配置成功').finish()

nonebot_plugin_tetris_stats/games/tetrio/constant.py

@@ -1,9 +1,12 @@
+from re import compile
 from typing import Literal
 
-from .typing import Rank
+from .api.typing import Rank
 
 GAME_TYPE: Literal['IO'] = 'IO'
+
 BASE_URL = 'https://ch.tetr.io/api/'
+
 RANK_PERCENTILE: dict[Rank, float] = {
     'x': 1,
     'u': 5,
@@ -23,5 +26,9 @@ RANK_PERCENTILE: dict[Rank, float] = {
     'd+': 97.5,
     'd': 100,
 }
+
 TR_MIN = 0
 TR_MAX = 25000
+
+USER_ID = compile(r'^[a-f0-9]{24}$')
+USER_NAME = compile(r'^[a-zA-Z0-9_-]{3,16}$')

nonebot_plugin_tetris_stats/games/tetrio/models.py

@@ -1,12 +1,11 @@
-from datetime import datetime, timezone
+from datetime import datetime
 
 from nonebot_plugin_orm import Model
 from sqlalchemy import JSON, DateTime, String
 from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
 
-from .typing import Rank
-
-UTC = timezone.utc
+from .api.typing import Rank
+from .typing import Template
 
 
 class IORank(MappedAsDataclass, Model):
@@ -28,3 +27,8 @@ class IORank(MappedAsDataclass, Model):
         index=True,
     )
     file_hash: Mapped[str | None] = mapped_column(String(128), index=True)
+
+
+class TETRIOUserConfig(MappedAsDataclass, Model):
+    id: Mapped[int] = mapped_column(primary_key=True)
+    query_template: Mapped[Template] = mapped_column(String(2))

nonebot_plugin_tetris_stats/games/tetrio/query.py

@@ -0,0 +1,551 @@
+from asyncio import gather
+from collections import defaultdict
+from datetime import date, datetime, timedelta, timezone
+from hashlib import md5
+from math import ceil, floor
+from typing import ClassVar, TypeVar, overload
+from urllib.parse import urlencode
+from zoneinfo import ZoneInfo
+
+from aiofiles import open
+from nonebot import get_driver
+from nonebot.adapters import Event
+from nonebot.compat import type_validate_json
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_apscheduler import scheduler  # type: ignore[import-untyped]
+from nonebot_plugin_localstore import get_data_file  # type: ignore[import-untyped]
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import User as NBUser  # type: ignore[import-untyped]
+from nonebot_plugin_user import get_user  # type: ignore[import-untyped]
+from sqlalchemy import select
+from zstandard import ZstdDecompressor
+
+from ...db import query_bind_info, trigger
+from ...utils.exception import FallbackError
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.metrics import TetrisMetricsProWithPPSVS, get_metrics
+from ...utils.render import render
+from ...utils.render.schemas.base import Avatar, Ranking
+from ...utils.render.schemas.tetrio_info import Data, Radar, TetraLeague, TetraLeagueHistory
+from ...utils.render.schemas.tetrio_info import Info as V1TemplateInfo
+from ...utils.render.schemas.tetrio_info import User as V1TemplateUser
+from ...utils.render.schemas.tetrio_info_v2 import Badge, Blitz, Sprint, Statistic, TetraLeagueStatistic
+from ...utils.render.schemas.tetrio_info_v2 import Info as V2TemplateInfo
+from ...utils.render.schemas.tetrio_info_v2 import TetraLeague as V2TemplateTetraLeague
+from ...utils.render.schemas.tetrio_info_v2 import User as V2TemplateUser
+from ...utils.screenshot import screenshot
+from ...utils.typing import Me, Number
+from ..constant import CANT_VERIFY_MESSAGE
+from . import alc
+from .api import Player, User, UserInfoSuccess
+from .api.models import TETRIOHistoricalData
+from .api.schemas.tetra_league import TetraLeagueSuccess
+from .api.schemas.user_info import NeverPlayedLeague, NeverRatedLeague, RatedLeague
+from .constant import GAME_TYPE, TR_MAX, TR_MIN
+from .models import IORank, TETRIOUserConfig
+from .typing import Template
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+
+@alc.assign('TETRIO.query')
+async def _(  # noqa: PLR0913
+    user: NBUser,
+    event: Event,
+    matcher: Matcher,
+    target: At | Me,
+    event_session: EventSession,
+    template: Template | None = None,
+):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='query',
+        command_args=[],
+    ):
+        async with get_session() as session:
+            bind = await query_bind_info(
+                session=session,
+                user=await get_user(
+                    event_session.platform, target.target if isinstance(target, At) else event.get_user_id()
+                ),
+                game_platform=GAME_TYPE,
+            )
+            if template is None:
+                template = await session.scalar(
+                    select(TETRIOUserConfig.query_template).where(TETRIOUserConfig.id == user.id)
+                )
+        if bind is None:
+            await matcher.finish('未查询到绑定信息')
+        message = UniMessage(CANT_VERIFY_MESSAGE)
+        player = Player(user_id=bind.game_account, trust=True)
+        await (message + (await make_query_result(player, template or 'v1'))).finish()
+
+
+@alc.assign('TETRIO.query')
+async def _(user: NBUser, account: Player, event_session: EventSession, template: Template | None = None):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='query',
+        command_args=[],
+    ):
+        async with get_session() as session:
+            if template is None:
+                template = await session.scalar(
+                    select(TETRIOUserConfig.query_template).where(TETRIOUserConfig.id == user.id)
+                )
+        await (await make_query_result(account, template or 'v1')).finish()
+
+
+def get_value_bounds(values: list[int | float]) -> tuple[int, int]:
+    value_max = 10 * ceil(max(values) / 10)
+    value_min = 10 * floor(min(values) / 10)
+    return value_max, value_min
+
+
+def get_split(value_max: int, value_min: int) -> tuple[int, int]:
+    offset = 0
+    overflow = 0
+
+    while True:
+        if (new_max_value := value_max + offset + overflow) > TR_MAX:
+            overflow -= 1
+            continue
+        if (new_min_value := value_min - offset + overflow) < TR_MIN:
+            overflow += 1
+            continue
+        if ((new_max_value - new_min_value) / 40).is_integer():
+            split_value = int((value_max + offset - (value_min - offset)) / 4)
+            break
+        offset += 1
+    return split_value, offset + overflow
+
+
+def get_specified_point(
+    previous_point: Data,
+    behind_point: Data,
+    point_time: datetime,
+) -> Data:
+    """根据给出的 previous_point 和 behind_point, 推算 point_time 点处的数据
+
+    Args:
+        previous_point (Data): 前面的数据点
+        behind_point (Data): 后面的数据点
+        point_time (datetime): 要推算的点的位置
+
+    Returns:
+        Data: 要推算的点的数据
+    """
+    # 求两个点的斜率
+    slope = (behind_point.tr - previous_point.tr) / (
+        datetime.timestamp(behind_point.record_at) - datetime.timestamp(previous_point.record_at)
+    )
+    return Data(
+        record_at=point_time,
+        tr=previous_point.tr + slope * (datetime.timestamp(point_time) - datetime.timestamp(previous_point.record_at)),
+    )
+
+
+async def query_historical_data(user: User, user_info: UserInfoSuccess) -> list[Data]:
+    today = datetime.now(ZoneInfo('Asia/Shanghai')).replace(hour=0, minute=0, second=0, microsecond=0)
+    forward = timedelta(days=9)
+    start_time = (today - forward).astimezone(UTC)
+    async with get_session() as session:
+        historical_data = (
+            await session.scalars(
+                select(TETRIOHistoricalData)
+                .where(TETRIOHistoricalData.update_time >= start_time)
+                .where(TETRIOHistoricalData.user_unique_identifier == user.unique_identifier)
+                .where(TETRIOHistoricalData.api_type == 'User Info')
+            )
+        ).all()
+        if historical_data:
+            extra = (
+                await session.scalars(
+                    select(TETRIOHistoricalData)
+                    .where(TETRIOHistoricalData.user_unique_identifier == user.unique_identifier)
+                    .where(TETRIOHistoricalData.api_type == 'User Info')
+                    .order_by(TETRIOHistoricalData.id.desc())
+                    .where(TETRIOHistoricalData.id < min([i.id for i in historical_data]))
+                    .limit(1)
+                )
+            ).one_or_none()
+            if extra is not None:
+                historical_data = list(historical_data)
+                historical_data.append(extra)
+    full_export_data = FullExport.get_data(user.unique_identifier)
+    if not historical_data and not full_export_data:
+        return [
+            Data(record_at=today - forward, tr=user_info.data.user.league.rating),
+            Data(record_at=today.replace(microsecond=1000), tr=user_info.data.user.league.rating),
+        ]
+    histories = [
+        Data(
+            record_at=i.update_time.astimezone(ZoneInfo('Asia/Shanghai')),
+            tr=i.data.data.user.league.rating,
+        )
+        for i in historical_data
+        if isinstance(i.data, UserInfoSuccess) and isinstance(i.data.data.user.league, RatedLeague)
+    ] + full_export_data
+
+    # 按照时间排序
+    histories = sorted(histories, key=lambda x: x.record_at)
+    for index, value in enumerate(histories):
+        # 在历史记录里找有没有今天0点后的数据, 并且至少要有两个数据点
+        if value.record_at > today and len(histories) >= 2:  # noqa: PLR2004
+            histories = histories[:index] + [
+                get_specified_point(histories[index - 1], histories[index], today.replace(microsecond=1000))
+            ]
+            break
+    else:
+        histories.append(
+            get_specified_point(
+                histories[-1],
+                Data(record_at=user_info.cache.cached_at, tr=user_info.data.user.league.rating),
+                today.replace(microsecond=1000),
+            )
+        )
+    if histories[0].record_at < (today - forward):
+        histories[0] = get_specified_point(
+            histories[0],
+            histories[1],
+            today - forward,
+        )
+    else:
+        histories.insert(0, Data(record_at=today - forward, tr=histories[0].tr))
+    return histories
+
+
+L = TypeVar('L', NeverPlayedLeague, NeverRatedLeague, RatedLeague)
+
+
+@overload
+def get_league(user_info: UserInfoSuccess, league_type: type[L]) -> L: ...
+@overload
+def get_league(
+    user_info: UserInfoSuccess, league_type: None = None
+) -> NeverPlayedLeague | NeverRatedLeague | RatedLeague: ...
+def get_league(
+    user_info: UserInfoSuccess, league_type: type[L] | None = None
+) -> L | NeverPlayedLeague | NeverRatedLeague | RatedLeague:
+    league = user_info.data.user.league
+    if league_type is None:
+        return league
+    if isinstance(league, league_type):
+        return league
+    raise FallbackError
+
+
+async def make_query_image_v1(player: Player) -> bytes:
+    user, user_info, sprint, blitz = await gather(player.user, player.get_info(), player.sprint, player.blitz)
+    league = get_league(user_info, RatedLeague)
+    if league.vs is None:
+        raise FallbackError
+    histories = await query_historical_data(user, user_info)
+    value_max, value_min = get_value_bounds([i.tr for i in histories])
+    split_value, offset = get_split(value_max, value_min)
+    if sprint.record is not None:
+        duration = timedelta(milliseconds=sprint.record.endcontext.final_time).total_seconds()
+        sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s'  # noqa: PLR2004
+    else:
+        sprint_value = 'N/A'
+    blitz_value = f'{blitz.record.endcontext.score:,}' if blitz.record is not None else 'N/A'
+    netloc = get_self_netloc()
+    async with HostPage(
+        page=await render(
+            'v1/tetrio/info',
+            V1TemplateInfo(
+                user=V1TemplateUser(
+                    avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
+                    if user_info.data.user.avatar_revision is not None and user_info.data.user.avatar_revision != 0
+                    else Avatar(
+                        type='identicon',
+                        hash=md5(user_info.data.user.id.encode()).hexdigest(),  # noqa: S324
+                    ),
+                    name=user.name.upper(),
+                    bio=user_info.data.user.bio,
+                ),
+                ranking=Ranking(
+                    rating=round(league.glicko, 2),
+                    rd=round(league.rd, 2),
+                ),
+                tetra_league=TetraLeague(
+                    rank=league.rank,
+                    tr=round(league.rating, 2),
+                    global_rank=league.standing,
+                    pps=league.pps,
+                    lpm=round(lpm := (league.pps * 24), 2),
+                    apm=league.apm,
+                    apl=round(league.apm / lpm, 2),
+                    vs=league.vs,
+                    adpm=round(adpm := (league.vs * 0.6), 2),
+                    adpl=round(adpm / lpm, 2),
+                ),
+                tetra_league_history=TetraLeagueHistory(
+                    data=histories,
+                    split_interval=split_value,
+                    min_tr=value_min,
+                    max_tr=value_max,
+                    offset=offset,
+                ),
+                radar=Radar(
+                    app=(app := (league.apm / (60 * league.pps))),
+                    dsps=(dsps := ((league.vs / 100) - (league.apm / 60))),
+                    dspp=(dspp := (dsps / league.pps)),
+                    ci=150 * dspp - 125 * app + 50 * (league.vs / league.apm) - 25,
+                    ge=2 * ((app * dsps) / league.pps),
+                ),
+                sprint=sprint_value,
+                blitz=blitz_value,
+            ),
+        )
+    ) as page_hash:
+        return await screenshot(f'http://{netloc}/host/{page_hash}.html')
+
+
+N = TypeVar('N', int, float)
+
+
+def handling_special_value(value: N) -> N | None:
+    return value if value != -1 else None
+
+
+async def make_query_image_v2(player: Player) -> bytes:
+    user, user_info, sprint, blitz, zen = await gather(
+        player.user, player.get_info(), player.sprint, player.blitz, player.zen
+    )
+    league = get_league(user_info)
+
+    if sprint.record is not None:
+        duration = timedelta(milliseconds=sprint.record.endcontext.final_time).total_seconds()
+        sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s'  # noqa: PLR2004
+    else:
+        sprint_value = 'N/A'
+
+    play_time: str | None
+    if (game_time := handling_special_value(user_info.data.user.gametime)) is not None:
+        if game_time // 3600 > 0:
+            play_time = f'{game_time//3600:.0f}h {game_time % 3600 // 60:.0f}m {game_time % 60:.0f}s'
+        elif game_time // 60 > 0:
+            play_time = f'{game_time//60:.0f}m {game_time % 60:.0f}s'
+        else:
+            play_time = f'{game_time:.0f}s'
+    else:
+        play_time = game_time
+    netloc = get_self_netloc()
+    async with HostPage(
+        await render(
+            'v2/tetrio/info',
+            V2TemplateInfo(
+                user=V2TemplateUser(
+                    id=user.ID,
+                    name=user.name.upper(),
+                    bio=user_info.data.user.bio,
+                    banner=f'http://{netloc}/host/resource/tetrio/banners/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
+                    if user_info.data.user.banner_revision is not None and user_info.data.user.banner_revision != 0
+                    else None,
+                    avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
+                    if user_info.data.user.avatar_revision is not None and user_info.data.user.avatar_revision != 0
+                    else Avatar(
+                        type='identicon',
+                        hash=md5(user_info.data.user.id.encode()).hexdigest(),  # noqa: S324
+                    ),
+                    badges=[
+                        Badge(
+                            id=i.id,
+                            description=i.label,
+                            group=i.group,
+                            receive_at=i.ts if isinstance(i.ts, datetime) else None,
+                        )
+                        for i in user_info.data.user.badges
+                    ],
+                    country=user_info.data.user.country,
+                    xp=user_info.data.user.xp,
+                    friend_count=user_info.data.user.friend_count or 0,
+                    supporter_tier=user_info.data.user.supporter_tier,
+                    bad_standing=user_info.data.user.badstanding or False,
+                    verified=user_info.data.user.verified,
+                    playtime=play_time,
+                    join_at=user_info.data.user.ts,
+                ),
+                tetra_league=V2TemplateTetraLeague(
+                    rank=league.rank,
+                    highest_rank=league.bestrank,
+                    tr=round(league.rating, 2),
+                    glicko=round(league.glicko, 2),
+                    rd=round(league.rd, 2),
+                    global_rank=handling_special_value(league.standing),
+                    country_rank=handling_special_value(league.standing_local),
+                    pps=(
+                        metrics := get_metrics(pps=league.pps, apm=league.apm, vs=league.vs)
+                        if league.vs is not None
+                        else get_metrics(pps=league.pps, apm=league.apm)
+                    ).pps,
+                    apm=metrics.apm,
+                    apl=metrics.apl,
+                    vs=metrics.vs if isinstance(metrics, TetrisMetricsProWithPPSVS) else None,
+                    adpl=metrics.adpl if isinstance(metrics, TetrisMetricsProWithPPSVS) else None,
+                    statistic=TetraLeagueStatistic(
+                        total=league.gamesplayed,
+                        wins=league.gameswon,
+                    ),
+                    decaying=league.decaying,
+                )
+                if isinstance(league, RatedLeague)
+                else None,
+                statistic=Statistic(
+                    total=handling_special_value(user_info.data.user.gamesplayed),
+                    wins=handling_special_value(user_info.data.user.gameswon),
+                ),
+                sprint=Sprint(
+                    time=sprint_value,
+                    global_rank=sprint.rank,
+                    play_at=sprint.record.ts,
+                )
+                if sprint.record is not None
+                else None,
+                blitz=Blitz(
+                    score=blitz.record.endcontext.score,
+                    global_rank=blitz.rank,
+                    play_at=blitz.record.ts,
+                )
+                if blitz.record is not None
+                else None,
+                zen=zen,
+            ),
+        ),
+    ) as page_hash:
+        return await screenshot(f'http://{netloc}/host/{page_hash}.html')
+
+
+async def make_query_text(player: Player) -> UniMessage:
+    user, user_info, sprint, blitz = await gather(player.user, player.get_info(), player.sprint, player.blitz)
+    league = get_league(user_info)
+
+    user_name = user.name.upper()
+
+    message = ''
+    if isinstance(league, NeverPlayedLeague):
+        message += f'用户 {user_name} 没有排位统计数据'
+    else:
+        if isinstance(league, NeverRatedLeague):
+            message += f'用户 {user_name} 暂未完成定级赛, 最近十场的数据:'
+        else:
+            if league.rank == 'z':
+                message += f'用户 {user_name} 暂无段位, {round(league.rating,2)} TR'
+            else:
+                message += f'{league.rank.upper()} 段用户 {user_name} {round(league.rating,2)} TR (#{league.standing})'
+            message += f', 段位分 {round(league.glicko,2)}±{round(league.rd,2)}, 最近十场的数据:'
+        metrics = (
+            get_metrics(pps=league.pps, apm=league.apm, vs=league.vs)
+            if league.vs is not None
+            else get_metrics(pps=league.pps, apm=league.apm)
+        )
+        message += f"\nL'PM: {metrics.lpm} ( {metrics.pps} pps )"
+        message += f'\nAPM: {metrics.apm} ( x{metrics.apl} )'
+        if isinstance(metrics, TetrisMetricsProWithPPSVS):
+            message += f'\nADPM: {metrics.adpm} ( x{metrics.adpl} ) ( {metrics.vs}vs )'
+    if sprint.record is not None:
+        message += f'\n40L: {round(sprint.record.endcontext.final_time/1000,2)}s'
+        message += f' ( #{sprint.rank} )' if sprint.rank is not None else ''
+    if blitz.record is not None:
+        message += f'\nBlitz: {blitz.record.endcontext.score}'
+        message += f' ( #{blitz.rank} )' if blitz.rank is not None else ''
+    return UniMessage(message)
+
+
+async def make_query_result(player: Player, template: Template) -> UniMessage:
+    try:
+        if template == 'v1':
+            return UniMessage.image(raw=await make_query_image_v1(player))
+        if template == 'v2':
+            return UniMessage.image(raw=await make_query_image_v2(player))
+    except FallbackError:
+        ...
+    return await make_query_text(player)
+
+
+class FullExport:
+    cache: ClassVar[defaultdict[str, set[tuple[datetime, Number]]]] = defaultdict(set)
+    latest_update: ClassVar[date | None] = None
+
+    @classmethod
+    async def init(cls) -> None:
+        async with get_session() as session:
+            full_exports = (await session.scalars(select(IORank).where(IORank.update_time >= cls.start_time()))).all()
+        await gather(
+            *[
+                cls._load(update_time, file_hash)
+                for file_hash, update_time in {
+                    i.file_hash: i.update_time for i in full_exports if i.file_hash is not None
+                }.items()
+            ]
+        )
+
+    @classmethod
+    async def update(cls) -> None:
+        if cls.latest_update == datetime.now(tz=ZoneInfo('Asia/Shanghai')).date():
+            return
+        start_time = cls.start_time()
+        for i in cls.cache:
+            cls.cache[i] = {j for j in cls.cache[i] if j[0] >= start_time}
+        latest_time = max(cls.cache)
+        async with get_session() as session:
+            full_exports = (await session.scalars(select(IORank).where(IORank.update_time > latest_time))).all()
+        await gather(
+            *[
+                cls._load(update_time, file_hash)
+                for file_hash, update_time in {
+                    i.file_hash: i.update_time for i in full_exports if i.file_hash is not None
+                }.items()
+            ]
+        )
+        cls.latest_update = datetime.now(tz=ZoneInfo('Asia/Shanghai')).date()
+
+    @classmethod
+    def get_data(cls, unique_identifier: str) -> list[Data]:
+        return [Data(record_at=i[0], tr=i[1]) for i in cls.cache[unique_identifier]]
+
+    @classmethod
+    def start_time(cls) -> datetime:
+        return (
+            datetime.now(ZoneInfo('Asia/Shanghai')).replace(hour=0, minute=0, second=0, microsecond=0)
+            - timedelta(days=9)
+        ).astimezone(UTC)
+
+    @classmethod
+    async def _load(cls, update_time: datetime, file_hash: str) -> None:
+        try:
+            users = type_validate_json(TetraLeagueSuccess, await cls.decompress(file_hash)).data.users
+        except FileNotFoundError:
+            await cls.clear_invalid(file_hash)
+            return
+        update_time = update_time.astimezone(ZoneInfo('Asia/Shanghai'))
+        for i in users:
+            cls.cache[i.id].add((update_time, i.league.rating))
+
+    @classmethod
+    async def decompress(cls, file_hash: str) -> bytes:
+        async with open(get_data_file('nonebot_plugin_tetris_stats', f'{file_hash}.json.zst'), mode='rb') as file:
+            return ZstdDecompressor().decompress(await file.read())
+
+    @classmethod
+    async def clear_invalid(cls, file_hash: str) -> None:
+        async with get_session() as session:
+            full_exports = (await session.scalars(select(IORank).where(IORank.file_hash == file_hash))).all()
+            for i in full_exports:
+                i.file_hash = None
+            await session.commit()
+
+
+@driver.on_startup
+async def _():
+    await FullExport.init()
+    scheduler.add_job(FullExport.update, 'interval', hours=1)

nonebot_plugin_tetris_stats/games/tetrio/rank.py

@@ -0,0 +1,174 @@
+from collections import defaultdict
+from collections.abc import Callable
+from datetime import datetime, timedelta, timezone
+from hashlib import sha512
+from math import floor
+from statistics import mean
+from zoneinfo import ZoneInfo
+
+from aiofiles import open
+from nonebot import get_driver
+from nonebot.compat import model_dump
+from nonebot.matcher import Matcher
+from nonebot.utils import run_sync
+from nonebot_plugin_apscheduler import scheduler  # type: ignore[import-untyped]
+from nonebot_plugin_localstore import get_data_file  # type: ignore[import-untyped]
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from sqlalchemy import func, select
+from zstandard import ZstdCompressor
+
+from ...db import trigger
+from ...utils.exception import RequestError
+from ...utils.metrics import get_metrics
+from ...utils.retry import retry
+from . import alc
+from .api.schemas.base import FailedModel
+from .api.schemas.tetra_league import ValidUser
+from .api.schemas.user import User
+from .api.tetra_league import full_export
+from .api.typing import Rank
+from .constant import GAME_TYPE, RANK_PERCENTILE
+from .models import IORank
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+
+@alc.assign('TETRIO.rank')
+async def _(matcher: Matcher, rank: Rank, event_session: EventSession):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='rank',
+        command_args=[],
+    ):
+        if rank == 'z':
+            await matcher.finish('暂不支持查询未知段位')
+        async with get_session() as session:
+            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.update_time)
+                            - func.julianday(latest_data.update_time - timedelta(hours=24))
+                        )
+                    )
+                    .limit(1)
+                )
+            ).one()
+        message = ''
+        if (datetime.now(UTC) - latest_data.update_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.update_time-compare_data.update_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)
+        low_pps = get_metrics(pps=latest_data.low_pps[1])
+        low_vs = get_metrics(vs=latest_data.low_vs[1])
+        max_pps = get_metrics(pps=latest_data.high_pps[1])
+        max_vs = get_metrics(vs=latest_data.high_vs[1])
+        message += (
+            '\n'
+            '平均数据:\n'
+            f"L'PM: {avg.lpm} ( {avg.pps} pps )\n"
+            f'APM: {avg.apm} ( x{avg.apl} )\n'
+            f'ADPM: {avg.adpm} ( x{avg.adpl} ) ( {avg.vs}vs )\n'
+            '\n'
+            '最低数据:\n'
+            f"L'PM: {low_pps.lpm} ( {low_pps.pps} pps ) By: {latest_data.low_pps[0]['name'].upper()}\n"
+            f'APM: {latest_data.low_apm[1]} By: {latest_data.low_apm[0]["name"].upper()}\n'
+            f'ADPM: {low_vs.adpm} ( {low_vs.vs}vs ) By: {latest_data.low_vs[0]["name"].upper()}\n'
+            '\n'
+            '最高数据:\n'
+            f"L'PM: {max_pps.lpm} ( {max_pps.pps} pps ) By: {latest_data.high_pps[0]['name'].upper()}\n"
+            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.update_time.replace(tzinfo=UTC).astimezone(ZoneInfo("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")}'
+        )
+        await matcher.finish(message)
+
+
+@scheduler.scheduled_job('cron', hour='0,6,12,18', minute=0)
+@retry(exception_type=RequestError, delay=timedelta(minutes=15))
+async def get_tetra_league_data() -> None:
+    league, original = await full_export(with_original=True)
+    if isinstance(league, FailedModel):
+        msg = f'排行榜数据请求错误:\n{league.error}'
+        raise RequestError(msg)
+
+    def pps(user: ValidUser) -> float:
+        return user.league.pps
+
+    def apm(user: ValidUser) -> float:
+        return user.league.apm
+
+    def vs(user: ValidUser) -> float:
+        return user.league.vs
+
+    def _min(users: list[ValidUser], field: Callable[[ValidUser], float]) -> ValidUser:
+        return min(users, key=field)
+
+    def _max(users: list[ValidUser], field: Callable[[ValidUser], float]) -> ValidUser:
+        return max(users, key=field)
+
+    def build_extremes_data(
+        users: list[ValidUser],
+        field: Callable[[ValidUser], float],
+        sort: Callable[[list[ValidUser], Callable[[ValidUser], float]], ValidUser],
+    ) -> tuple[dict[str, str], float]:
+        user = sort(users, field)
+        return model_dump(User(ID=user.id, name=user.username)), field(user)
+
+    data_hash: str | None = await run_sync((await run_sync(sha512)(original)).hexdigest)()
+    async with open(get_data_file('nonebot_plugin_tetris_stats', f'{data_hash}.json.zst'), mode='wb') as file:
+        await file.write(await run_sync(ZstdCompressor(level=12, threads=-1).compress)(original))
+
+    users = [i for i in league.data.users if isinstance(i, ValidUser)]
+    rank_to_users: defaultdict[Rank, list[ValidUser]] = defaultdict(list)
+    for i in users:
+        rank_to_users[i.league.rank].append(i)
+    rank_info: list[IORank] = []
+    for rank, percentile in RANK_PERCENTILE.items():
+        offset = floor((percentile / 100) * len(users)) - 1
+        tr_line = users[offset].league.rating
+        rank_users = rank_to_users[rank]
+        rank_info.append(
+            IORank(
+                rank=rank,
+                tr_line=tr_line,
+                player_count=len(rank_users),
+                low_pps=(build_extremes_data(rank_users, pps, _min)),
+                low_apm=(build_extremes_data(rank_users, apm, _min)),
+                low_vs=(build_extremes_data(rank_users, vs, _min)),
+                avg_pps=mean({i.league.pps for i in rank_users}),
+                avg_apm=mean({i.league.apm for i in rank_users}),
+                avg_vs=mean({i.league.vs for i in rank_users}),
+                high_pps=(build_extremes_data(rank_users, pps, _max)),
+                high_apm=(build_extremes_data(rank_users, apm, _max)),
+                high_vs=(build_extremes_data(rank_users, vs, _max)),
+                update_time=league.cache.cached_at,
+                file_hash=data_hash,
+            )
+        )
+    async with get_session() as session:
+        session.add_all(rank_info)
+        await session.commit()
+
+
+@driver.on_startup
+async def _() -> None:
+    async with get_session() as session:
+        latest_time = await session.scalar(select(IORank.update_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_tetra_league_data()

nonebot_plugin_tetris_stats/games/tetrio/record/__init__.py

@@ -0,0 +1,6 @@
+from . import blitz, sprint
+
+__all__ = [
+    'blitz',
+    'sprint',
+]

nonebot_plugin_tetris_stats/games/tetrio/record/blitz.py

@@ -0,0 +1,124 @@
+from asyncio import gather
+from datetime import timedelta
+from hashlib import md5
+from urllib.parse import urlencode
+
+from nonebot.adapters import Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
+from nonebot_plugin_user import get_user  # type: ignore[import-untyped]
+
+from ....db import query_bind_info
+from ....utils.exception import RecordNotFoundError
+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_record_base import Finesse, Max, Mini, Tspins, User
+from ....utils.render.schemas.tetrio_record_blitz import Record, Statistic
+from ....utils.screenshot import screenshot
+from ....utils.typing import Me
+from ...constant import CANT_VERIFY_MESSAGE
+from .. import alc
+from ..api.player import Player
+from ..constant import GAME_TYPE
+
+
+@alc.assign('TETRIO.record.blitz')
+async def _(
+    event: Event,
+    matcher: Matcher,
+    target: At | Me,
+    event_session: EventSession,
+):
+    async with get_session() as session:
+        bind = await query_bind_info(
+            session=session,
+            user=await get_user(
+                event_session.platform, target.target if isinstance(target, At) else event.get_user_id()
+            ),
+            game_platform=GAME_TYPE,
+        )
+    if bind is None:
+        await matcher.finish('未查询到绑定信息')
+    message = UniMessage(CANT_VERIFY_MESSAGE)
+    player = Player(user_id=bind.game_account, trust=True)
+    await (message + UniMessage.image(raw=await make_blitz_image(player))).finish()
+
+
+@alc.assign('TETRIO.record.blitz')
+async def _(account: Player):
+    await UniMessage.image(raw=await make_blitz_image(account)).finish()
+
+
+async def make_blitz_image(player: Player) -> bytes:
+    user, user_info, blitz = await gather(player.user, player.get_info(), player.blitz)
+    if blitz.record is None:
+        msg = f'未找到用户 {user.name.upper()} 的 40L 记录'
+        raise RecordNotFoundError(msg)
+    endcontext = blitz.record.endcontext
+    clears = endcontext.clears
+    duration = timedelta(milliseconds=endcontext.final_time).total_seconds()
+    metrics = get_metrics(pps=endcontext.piecesplaced / duration)
+    netloc = get_self_netloc()
+    async with HostPage(
+        page=await render(
+            'v2/tetrio/record/blitz',
+            Record(
+                user=User(
+                    id=user.ID,
+                    name=user.name.upper(),
+                    avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
+                    if user_info.data.user.avatar_revision is not None and user_info.data.user.avatar_revision != 0
+                    else Avatar(
+                        type='identicon',
+                        hash=md5(user.ID.encode()).hexdigest(),  # noqa: S324
+                    ),
+                ),
+                replay_id=blitz.record.replayid,
+                rank=blitz.rank,
+                statistic=Statistic(
+                    keys=endcontext.inputs,
+                    kpp=round(endcontext.inputs / endcontext.piecesplaced, 2),
+                    kps=round(endcontext.inputs / duration, 2),
+                    max=Max(
+                        combo=max((0, endcontext.combo - 1)),
+                        btb=max((0, endcontext.btb - 1)),
+                    ),
+                    pieces=endcontext.piecesplaced,
+                    pps=metrics.pps,
+                    lines=endcontext.lines,
+                    lpm=metrics.lpm,
+                    holds=endcontext.holds,
+                    score=endcontext.score,
+                    spp=round(endcontext.score / endcontext.piecesplaced, 2),
+                    single=clears.singles,
+                    double=clears.doubles,
+                    triple=clears.triples,
+                    quad=clears.quads,
+                    tspins=Tspins(
+                        total=clears.realtspins,
+                        single=clears.tspinsingles,
+                        double=clears.tspindoubles,
+                        triple=clears.triples,
+                        mini=Mini(
+                            total=clears.minitspins,
+                            single=clears.minitspinsingles,
+                            double=clears.minitspindoubles,
+                        ),
+                    ),
+                    all_clear=clears.allclear,
+                    finesse=Finesse(
+                        faults=endcontext.finesse.faults,
+                        accuracy=round(endcontext.finesse.perfectpieces / endcontext.piecesplaced * 100, 2),
+                    ),
+                    level=endcontext.level,
+                ),
+                play_at=blitz.record.ts,
+            ),
+        )
+    ) as page_hash:
+        return await screenshot(f'http://{netloc}/host/{page_hash}.html')

nonebot_plugin_tetris_stats/games/tetrio/record/sprint.py

@@ -0,0 +1,124 @@
+from asyncio import gather
+from datetime import timedelta
+from hashlib import md5
+from urllib.parse import urlencode
+
+from nonebot.adapters import Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
+from nonebot_plugin_user import get_user  # type: ignore[import-untyped]
+
+from ....db import query_bind_info
+from ....utils.exception import RecordNotFoundError
+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_record_base import Finesse, Max, Mini, Tspins, User
+from ....utils.render.schemas.tetrio_record_sprint import Record, Statistic
+from ....utils.screenshot import screenshot
+from ....utils.typing import Me
+from ...constant import CANT_VERIFY_MESSAGE
+from .. import alc
+from ..api.player import Player
+from ..constant import GAME_TYPE
+
+
+@alc.assign('TETRIO.record.sprint')
+async def _(
+    event: Event,
+    matcher: Matcher,
+    target: At | Me,
+    event_session: EventSession,
+):
+    async with get_session() as session:
+        bind = await query_bind_info(
+            session=session,
+            user=await get_user(
+                event_session.platform, target.target if isinstance(target, At) else event.get_user_id()
+            ),
+            game_platform=GAME_TYPE,
+        )
+    if bind is None:
+        await matcher.finish('未查询到绑定信息')
+    message = UniMessage(CANT_VERIFY_MESSAGE)
+    player = Player(user_id=bind.game_account, trust=True)
+    await (message + UniMessage.image(raw=await make_sprint_image(player))).finish()
+
+
+@alc.assign('TETRIO.record.sprint')
+async def _(account: Player):
+    await UniMessage.image(raw=await make_sprint_image(account)).finish()
+
+
+async def make_sprint_image(player: Player) -> bytes:
+    user, user_info, sprint = await gather(player.user, player.get_info(), player.sprint)
+    if sprint.record is None:
+        msg = f'未找到用户 {user.name.upper()} 的 40L 记录'
+        raise RecordNotFoundError(msg)
+    endcontext = sprint.record.endcontext
+    clears = endcontext.clears
+    duration = timedelta(milliseconds=endcontext.final_time).total_seconds()
+    sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s'  # noqa: PLR2004
+    metrics = get_metrics(pps=endcontext.piecesplaced / duration)
+    netloc = get_self_netloc()
+    async with HostPage(
+        page=await render(
+            'v2/tetrio/record/40l',
+            Record(
+                user=User(
+                    id=user.ID,
+                    name=user.name.upper(),
+                    avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
+                    if user_info.data.user.avatar_revision is not None and user_info.data.user.avatar_revision != 0
+                    else Avatar(
+                        type='identicon',
+                        hash=md5(user.ID.encode()).hexdigest(),  # noqa: S324
+                    ),
+                ),
+                time=sprint_value,
+                replay_id=sprint.record.replayid,
+                rank=sprint.rank,
+                statistic=Statistic(
+                    keys=endcontext.inputs,
+                    kpp=round(endcontext.inputs / endcontext.piecesplaced, 2),
+                    kps=round(endcontext.inputs / duration, 2),
+                    max=Max(
+                        combo=max((0, endcontext.combo - 1)),
+                        btb=max((0, endcontext.btb - 1)),
+                    ),
+                    pieces=endcontext.piecesplaced,
+                    pps=metrics.pps,
+                    lines=endcontext.lines,
+                    lpm=metrics.lpm,
+                    holds=endcontext.holds,
+                    score=endcontext.score,
+                    single=clears.singles,
+                    double=clears.doubles,
+                    triple=clears.triples,
+                    quad=clears.quads,
+                    tspins=Tspins(
+                        total=clears.realtspins,
+                        single=clears.tspinsingles,
+                        double=clears.tspindoubles,
+                        triple=clears.triples,
+                        mini=Mini(
+                            total=clears.minitspins,
+                            single=clears.minitspinsingles,
+                            double=clears.minitspindoubles,
+                        ),
+                    ),
+                    all_clear=clears.allclear,
+                    finesse=Finesse(
+                        faults=endcontext.finesse.faults,
+                        accuracy=round(endcontext.finesse.perfectpieces / endcontext.piecesplaced * 100, 2),
+                    ),
+                ),
+                play_at=sprint.record.ts,
+            ),
+        )
+    ) as page_hash:
+        return await screenshot(f'http://{netloc}/host/{page_hash}.html')

nonebot_plugin_tetris_stats/games/tetrio/typing.py

@@ -0,0 +1,3 @@
+from typing import Literal
+
+Template = Literal['v1', 'v2']

nonebot_plugin_tetris_stats/games/top/__init__.py

@@ -0,0 +1,59 @@
+from arclet.alconna import Arg, ArgFlag, Args, Subcommand
+from nonebot_plugin_alconna import At
+
+from ...utils.exception import MessageFormatError
+from ...utils.typing import Me
+from .. import add_block_handlers, alc
+from .api import Player
+from .constant import USER_NAME
+
+
+def get_player(name: str) -> Player | MessageFormatError:
+    if USER_NAME.match(name):
+        return Player(user_name=name, trust=True)
+    return MessageFormatError('用户名/ID不合法')
+
+
+alc.command.add(
+    Subcommand(
+        'TOP',
+        Subcommand(
+            'bind',
+            Args(
+                Arg(
+                    'account',
+                    get_player,
+                    notice='TOP 用户名 / ID',
+                    flags=[ArgFlag.HIDDEN],
+                )
+            ),
+            help_text='绑定 TOP 账号',
+        ),
+        Subcommand(
+            'query',
+            Args(
+                Arg(
+                    'target',
+                    At | Me,
+                    notice='@想要查询的人 / 自己',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+                Arg(
+                    'account',
+                    get_player,
+                    notice='TOP 用户名',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+            ),
+            help_text='查询 TOP 游戏信息',
+        ),
+        help_text='TOP 游戏相关指令',
+    )
+)
+
+alc.shortcut('(?i:top)(?i:绑定|绑|bind)', {'command': 'tstats TOP bind', 'humanized': 'top绑定'})
+alc.shortcut('(?i:top)(?i:查询|查|query|stats)', {'command': 'tstats TOP query', 'humanized': 'top查'})
+
+add_block_handlers(alc.assign('TOP.query'))
+
+from . import bind, query  # noqa: E402, F401

nonebot_plugin_tetris_stats/games/top/api/__init__.py

@@ -0,0 +1,3 @@
+from .player import Player
+
+__all__ = ['Player']

nonebot_plugin_tetris_stats/games/top/api/models.py

@@ -0,0 +1,17 @@
+from datetime import datetime
+from typing import Literal
+
+from nonebot_plugin_orm import Model
+from sqlalchemy import DateTime, String
+from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
+
+from ....db.models import PydanticType
+from .schemas.user_profile import UserProfile
+
+
+class TOPHistoricalData(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 Profile']] = mapped_column(String(16), index=True)
+    data: Mapped[UserProfile] = mapped_column(PydanticType(get_model=[], models={UserProfile}))
+    update_time: Mapped[datetime] = mapped_column(DateTime, index=True)

nonebot_plugin_tetris_stats/games/top/api/player.py

@@ -0,0 +1,71 @@
+from contextlib import suppress
+from datetime import datetime, timezone
+from io import StringIO
+from urllib.parse import urlencode
+
+from lxml import etree
+from pandas import read_html
+
+from ....db import anti_duplicate_add
+from ....utils.request import Request, splice_url
+from ..constant import BASE_URL, USER_NAME
+from .models import TOPHistoricalData
+from .schemas.user import User
+from .schemas.user_profile import Data, UserProfile
+
+UTC = timezone.utc
+
+
+class Player:
+    def __init__(self, *, user_name: str, trust: bool = False) -> None:
+        self.user_name = user_name
+        if not trust and not USER_NAME.match(self.user_name):
+            msg = 'Invalid user name'
+            raise ValueError(msg)
+        self.__user: User | None = None
+        self._user_profile: UserProfile | None = None
+
+    @property
+    async def user(self) -> User:
+        if self.__user is None:
+            profile = await self.get_profile()
+            self.__user = User(user_name=profile.user_name)
+        return self.__user
+
+    async def get_profile(self) -> UserProfile:
+        """获取用户信息"""
+        if self._user_profile is None:
+            url = splice_url([BASE_URL, 'profile.php', f'?{urlencode({"user":self.user_name})}'])
+            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',
+                    data=self._user_profile,
+                    update_time=datetime.now(tz=UTC),
+                ),
+            )
+        return self._user_profile
+
+    def _parse_profile(self, 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
+        with suppress(ValueError):
+            today = Data(
+                lpm=float(str(html.xpath('//div[@class="mycontent"]/text()[3]')[0]).replace('lpm:', '').strip()),
+                apm=float(str(html.xpath('//div[@class="mycontent"]/text()[4]')[0]).replace('apm:', '').strip()),
+            )
+        table = StringIO(
+            etree.tostring(
+                html.xpath('//div[@class="mycontent"]/table[@class="mytable"]')[0],
+                encoding='utf-8',
+            ).decode()
+        )
+        dataframe = read_html(table, encoding='utf-8', header=0)[0]
+        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)

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

@@ -0,0 +1,17 @@
+from typing import Literal
+
+from typing_extensions import override
+
+from ....schemas import BaseUser
+from ...constant import GAME_TYPE
+
+
+class User(BaseUser):
+    platform: Literal['TOP'] = GAME_TYPE
+
+    user_name: str
+
+    @property
+    @override
+    def unique_identifier(self) -> str:
+        return self.user_name

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

@@ -0,0 +1,12 @@
+from pydantic import BaseModel
+
+
+class Data(BaseModel):
+    lpm: float
+    apm: float
+
+
+class UserProfile(BaseModel):
+    user_name: str
+    today: Data | None
+    total: list[Data] | None

nonebot_plugin_tetris_stats/games/top/bind.py

@@ -0,0 +1,62 @@
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import User  # type: ignore[import-untyped]
+from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo  # type: ignore[import-untyped]
+
+from ...db import BindStatus, create_or_update_bind, trigger
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.image import get_avatar
+from ...utils.render import Bind, render
+from ...utils.render.schemas.base import People
+from ...utils.screenshot import screenshot
+from . import alc
+from .api import Player
+from .constant import GAME_TYPE
+
+
+@alc.assign('TOP.bind')
+async def _(
+    nb_user: User,
+    account: Player,
+    event_session: EventSession,
+    event_user_info: UserInfo = EventUserInfo(),  # noqa: B008
+    bot_info: UserInfo = BotUserInfo(),  # noqa: B008
+):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='bind',
+        command_args=[],
+    ):
+        user = await account.user
+        async with get_session() as session:
+            bind_status = await create_or_update_bind(
+                session=session,
+                user=nb_user,
+                game_platform=GAME_TYPE,
+                game_account=user.unique_identifier,
+            )
+        if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
+            async with HostPage(
+                await render(
+                    'v1/binding',
+                    Bind(
+                        platform=GAME_TYPE,
+                        status='unknown',
+                        user=People(
+                            avatar=await get_avatar(event_user_info, 'Data URI', None),
+                            name=user.user_name,
+                        ),
+                        bot=People(
+                            avatar=await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg'),
+                            name=bot_info.user_name,
+                        ),
+                        command='top查我',
+                    ),
+                )
+            ) as page_hash:
+                await UniMessage.image(
+                    raw=await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
+                ).finish()

nonebot_plugin_tetris_stats/games/top/constant.py

@@ -1,4 +1,8 @@
+from re import compile
 from typing import Literal
 
 GAME_TYPE: Literal['TOP'] = 'TOP'
+
 BASE_URL = 'http://tetrisonline.pl/top/'
+
+USER_NAME = compile(r'^[a-zA-Z0-9_]{1,16}$')

nonebot_plugin_tetris_stats/games/top/query.py

@@ -0,0 +1,74 @@
+from nonebot.adapters import Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import get_user  # type: ignore[import-untyped]
+
+from ...db import query_bind_info, trigger
+from ...utils.metrics import get_metrics
+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 .constant import GAME_TYPE
+
+
+@alc.assign('TOP.query')
+async def _(event: Event, matcher: Matcher, target: At | Me, event_session: EventSession):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='query',
+        command_args=[],
+    ):
+        async with get_session() as session:
+            bind = await query_bind_info(
+                session=session,
+                user=await get_user(
+                    event_session.platform, target.target if isinstance(target, At) else event.get_user_id()
+                ),
+                game_platform=GAME_TYPE,
+            )
+        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()
+
+
+@alc.assign('TOP.query')
+async def _(account: Player, event_session: EventSession):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='query',
+        command_args=[],
+    ):
+        await (make_query_text(await account.get_profile())).finish()
+
+
+def make_query_text(profile: UserProfile) -> UniMessage:
+    message = ''
+    if profile.today is not None:
+        today = get_metrics(lpm=profile.today.lpm, apm=profile.today.apm)
+        message += f'用户 {profile.user_name} 24小时内统计数据为: '
+        message += f"\nL'PM: {today.lpm} ( {today.pps} pps )"
+        message += f'\nAPM: {today.apm} ( x{today.apl} )'
+    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)
+        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)

nonebot_plugin_tetris_stats/games/tos/__init__.py

@@ -0,0 +1,64 @@
+from arclet.alconna import Arg, ArgFlag, Args, Subcommand
+from nonebot_plugin_alconna import At
+
+from ...utils.exception import MessageFormatError
+from ...utils.typing import Me
+from .. import add_block_handlers, alc
+from .api import Player
+from .constant import USER_NAME
+
+
+def get_player(teaid_or_name: str) -> Player | MessageFormatError:
+    if (
+        teaid_or_name.startswith(('onebot-', 'qqguild-', 'kook-', 'discord-'))
+        and teaid_or_name.split('-', maxsplit=1)[1].isdigit()
+    ):
+        return Player(teaid=teaid_or_name, trust=True)
+    if USER_NAME.match(teaid_or_name) and not teaid_or_name.isdigit() and 2 <= len(teaid_or_name) <= 18:  # noqa: PLR2004
+        return Player(user_name=teaid_or_name, trust=True)
+    return MessageFormatError('用户名/ID不合法')
+
+
+alc.command.add(
+    Subcommand(
+        'TOS',
+        Subcommand(
+            'bind',
+            Args(
+                Arg(
+                    'account',
+                    get_player,
+                    notice='茶服 用户名 / ID',
+                    flags=[ArgFlag.HIDDEN],
+                )
+            ),
+            help_text='绑定 茶服 账号',
+        ),
+        Subcommand(
+            'query',
+            Args(
+                Arg(
+                    'target',
+                    At | Me,
+                    notice='@想要查询的人 / 自己',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+                Arg(
+                    'account',
+                    get_player,
+                    notice='茶服 用户名 / TeaID',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+            ),
+            help_text='查询 茶服 游戏信息',
+        ),
+        help_text='茶服 游戏相关指令',
+    )
+)
+
+alc.shortcut('(?i:tos|茶服)(?i:绑定|绑|bind)', {'command': 'tstats TOS bind', 'humanized': '茶服绑定'})
+alc.shortcut('(?i:tos|茶服)(?i:查询|查|query|stats)', {'command': 'tstats TOS query', 'humanized': '茶服查'})
+
+add_block_handlers(alc.assign('TOS.query'))
+
+from . import bind, query  # noqa: E402, F401

nonebot_plugin_tetris_stats/games/tos/api/__init__.py

@@ -0,0 +1,3 @@
+from .player import Player
+
+__all__ = ['Player']

nonebot_plugin_tetris_stats/games/tos/api/models.py

@@ -0,0 +1,20 @@
+from datetime import datetime
+from typing import Literal
+
+from nonebot_plugin_orm import Model
+from sqlalchemy import DateTime, String
+from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
+
+from ....db.models import PydanticType
+from .schemas.user_info import UserInfoSuccess
+from .schemas.user_profile import UserProfile
+
+
+class TOSHistoricalData(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', 'User Profile']] = mapped_column(String(16), index=True)
+    data: Mapped[UserInfoSuccess | UserProfile] = mapped_column(
+        PydanticType(get_model=[], models={UserInfoSuccess, UserProfile})
+    )
+    update_time: Mapped[datetime] = mapped_column(DateTime, index=True)

nonebot_plugin_tetris_stats/games/tos/api/player.py

@@ -0,0 +1,128 @@
+from datetime import datetime, timezone
+from typing import overload
+from urllib.parse import urlencode
+
+from httpx import TimeoutException
+from nonebot.compat import type_validate_json
+
+from ....db import anti_duplicate_add
+from ....utils.exception import RequestError
+from ....utils.request import Request, splice_url
+from ..constant import BASE_URL, USER_NAME
+from .models import TOSHistoricalData
+from .schemas.user import User
+from .schemas.user_info import UserInfo, UserInfoSuccess
+from .schemas.user_profile import UserProfile
+
+UTC = timezone.utc
+
+
+class Player:
+    @overload
+    def __init__(self, *, teaid: str, trust: bool = False): ...
+    @overload
+    def __init__(self, *, user_name: str, trust: bool = False): ...
+    def __init__(self, *, teaid: str | None = None, user_name: str | None = None, trust: bool = False):
+        self.teaid = teaid
+        self.user_name = user_name
+        if not trust:
+            if self.teaid is not None:
+                if (
+                    not self.teaid.startswith(('onebot-', 'qqguild-', 'kook-', 'discord-'))
+                    or not self.teaid.split('-', maxsplit=1)[1].isdigit()
+                ):
+                    msg = 'Invalid teaid'
+                    raise ValueError(msg)
+            elif self.user_name is not None:
+                if not USER_NAME.match(self.user_name) or self.user_name.isdigit() or 2 > len(self.user_name) > 18:  # noqa: PLR2004
+                    msg = 'Invalid user name'
+                    raise ValueError(msg)
+            else:
+                msg = 'Invalid user'
+                raise ValueError(msg)
+        self.__user: User | None = None
+        self._user_info: UserInfoSuccess | None = None
+        self._user_profile: dict[str, UserProfile] = {}
+
+    @property
+    async def user(self) -> User:
+        if self.__user is None:
+            user_info = await self.get_info()
+            self.__user = User(teaid=user_info.data.teaid, name=user_info.data.name)
+            self.teaid = user_info.data.teaid
+            self.user_name = user_info.data.name
+        return self.__user
+
+    async def get_info(self) -> UserInfoSuccess:
+        """获取用户信息"""
+        if self._user_info is None:
+            if self.teaid is not None:
+                url = [
+                    splice_url(
+                        [
+                            i,
+                            'getTeaIdInfo',
+                            f'?{urlencode({"teaId":self.teaid})}',
+                        ]
+                    )
+                    for i in BASE_URL
+                ]
+            else:
+                url = [
+                    splice_url(
+                        [
+                            i,
+                            'getUsernameInfo',
+                            f'?{urlencode({"username":self.user_name})}',
+                        ]
+                    )
+                    for i in BASE_URL
+                ]
+            raw_user_info = await Request.failover_request(url, failover_code=[502], failover_exc=(TimeoutException,))
+            user_info: UserInfo = type_validate_json(UserInfo, raw_user_info)  # type: ignore[arg-type]
+            if not isinstance(user_info, UserInfoSuccess):
+                msg = f'用户信息请求错误:\n{user_info.error}'
+                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',
+                    data=user_info,
+                    update_time=datetime.now(UTC),
+                ),
+            )
+        return self._user_info
+
+    async def get_profile(self, other_parameter: dict[str, str | bytes] | None = None) -> UserProfile:
+        """获取用户数据"""
+        if other_parameter is None:
+            other_parameter = {}
+        params = urlencode(dict(sorted(other_parameter.items())))
+        if self._user_profile.get(params) is None:
+            raw_user_profile = await Request.failover_request(
+                [
+                    splice_url(
+                        [
+                            i,
+                            'getProfile',
+                            f'?{urlencode({"id":self.teaid or self.user_name,**other_parameter})}',
+                        ]
+                    )
+                    for i in BASE_URL
+                ],
+                failover_code=[502],
+                failover_exc=(TimeoutException,),
+            )
+            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',
+                    data=self._user_profile[params],
+                    update_time=datetime.now(UTC),
+                ),
+            )
+        return self._user_profile[params]

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

@@ -0,0 +1,18 @@
+from typing import Literal
+
+from typing_extensions import override
+
+from ....schemas import BaseUser
+from ...constant import GAME_TYPE
+
+
+class User(BaseUser):
+    platform: Literal['TOS'] = GAME_TYPE
+
+    teaid: str
+    name: str
+
+    @property
+    @override
+    def unique_identifier(self) -> str:
+        return self.teaid

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

@@ -0,0 +1,89 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+
+class PeriodMatch(BaseModel):
+    name: str
+    teaid: str = Field(..., alias='teaId')
+    rating: str
+    rd: str
+    start_time: datetime = Field(..., alias='startTime')
+    end_time: datetime = Field(..., alias='endTime')
+    win: str
+    lose: str
+    score: str
+
+
+class UserDataTotalItem(BaseModel):
+    time_map: str = Field(..., alias='timeMap')
+    pieces_map: str = Field(..., alias='piecesMap')
+    clear_lines_map: str = Field(..., alias='clearLinesMap')
+    attacks_map: str = Field(..., alias='attacksMap')
+    dig_map: str = Field(..., alias='digMap')
+    send_map: str = Field(..., alias='sendMap')
+    rise_map: str = Field(..., alias='riseMap')
+    offset_map: str = Field(..., alias='offsetMap')
+    receive_map: str = Field(..., alias='receiveMap')
+    games_map: str = Field(..., alias='gamesMap')
+    tetris_map: str = Field(..., alias='tetrisMap')
+    combo_map: str = Field(..., alias='comboMap')
+    tspin_map: str = Field(..., alias='tspinMap')
+    b2b_map: str = Field(..., alias='b2bMap')
+    perfect_clear_map: str = Field(..., alias='perfectClearMap')
+    time_no_map: str = Field(..., alias='timeNoMap')
+    pieces_no_map: str = Field(..., alias='piecesNoMap')
+    clear_lines_no_map: str = Field(..., alias='clearLinesNoMap')
+    attacks_no_map: str = Field(..., alias='attacksNoMap')
+    dig_no_map: str = Field(..., alias='digNoMap')
+    send_no_map: str = Field(..., alias='sendNoMap')
+    rise_no_map: str = Field(..., alias='riseNoMap')
+    offset_no_map: str = Field(..., alias='offsetNoMap')
+    receive_no_map: str = Field(..., alias='receiveNoMap')
+    games_no_map: str = Field(..., alias='gamesNoMap')
+    tetris_no_map: str = Field(..., alias='tetrisNoMap')
+    combo_no_map: str = Field(..., alias='comboNoMap')
+    tspin_no_map: str = Field(..., alias='tspinNoMap')
+    b2b_no_map: str = Field(..., alias='b2bNoMap')
+    perfect_clear_no_map: str = Field(..., alias='perfectClearNoMap')
+
+
+class Data(BaseModel):
+    teaid: str = Field(..., alias='teaId')
+    name: str
+    total_exp: str = Field(..., alias='totalExp')
+    ranking: str
+    ranked_games: str = Field(..., alias='rankedGames')
+    rating_now: str = Field(..., alias='ratingNow')
+    rd_now: str = Field(..., alias='rdNow')
+    vol_now: str = Field(..., alias='volNow')
+    rating_last: str = Field(..., alias='ratingLast')
+    rd_last: str = Field(..., alias='rdLast')
+    vol_last: str = Field(..., alias='volLast')
+    period_matches: list[PeriodMatch] = Field(..., alias='periodMatches')
+    user_data_total: list[UserDataTotalItem] = Field(..., alias='userDataTotal')
+    ranking_items: str = Field(..., alias='rankingItems')
+    ranking_game_items: str = Field(..., alias='rankingGameItems')
+    training_level: str = Field(..., alias='trainingLevel')
+    training_wins: str = Field(..., alias='trainingWins')
+    pb_sprint: str = Field(..., alias='PBSprint')
+    pb_marathon: str = Field(..., alias='PBMarathon')
+    pb_challenge: str = Field(..., alias='PBChallenge')
+    register_date: datetime = Field(..., alias='registerDate')
+    last_login_date: datetime = Field(..., alias='lastLoginDate')
+
+
+class UserInfoSuccess(BaseModel):
+    code: int
+    success: Literal[True]
+    data: Data
+
+
+class FailedModel(BaseModel):
+    code: int
+    success: Literal[False]
+    error: str
+
+
+UserInfo = UserInfoSuccess | FailedModel

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

@@ -0,0 +1,34 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel
+
+
+class Data(BaseModel):
+    idmultiplayergameresult: int
+    iduser: str
+    teaid: str
+    time: int
+    clear_lines: int
+    attack: int
+    send: int
+    offset: int
+    receive: int
+    rise: int
+    dig: int
+    pieces: int
+    max_combo: int
+    pc_count: int
+    place: int
+    num_players: int
+    fumen_code: Literal['0', '1']  # wtf
+    rule_set: str
+    garbage: str
+    idmultiplayergame: int
+    datetime: datetime
+
+
+class UserProfile(BaseModel):
+    code: int
+    success: bool
+    data: list[Data]

nonebot_plugin_tetris_stats/games/tos/bind.py

@@ -0,0 +1,62 @@
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import User  # type: ignore[import-untyped]
+from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo  # type: ignore[import-untyped]
+
+from ...db import BindStatus, create_or_update_bind, trigger
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.image import get_avatar
+from ...utils.render import Bind, render
+from ...utils.render.schemas.base import People
+from ...utils.screenshot import screenshot
+from . import alc
+from .api import Player
+from .constant import GAME_TYPE
+
+
+@alc.assign('TOS.bind')
+async def _(
+    nb_user: User,
+    account: Player,
+    event_session: EventSession,
+    event_user_info: UserInfo = EventUserInfo(),  # noqa: B008
+    bot_info: UserInfo = BotUserInfo(),  # noqa: B008
+):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='bind',
+        command_args=[],
+    ):
+        user = await account.user
+        async with get_session() as session:
+            bind_status = await create_or_update_bind(
+                session=session,
+                user=nb_user,
+                game_platform=GAME_TYPE,
+                game_account=user.unique_identifier,
+            )
+        user_info = await account.get_info()
+        if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
+            async with HostPage(
+                await render(
+                    'v1/binding',
+                    Bind(
+                        platform=GAME_TYPE,
+                        status='unknown',
+                        user=People(
+                            avatar=await get_avatar(event_user_info, 'Data URI', None), name=user_info.data.name
+                        ),
+                        bot=People(
+                            avatar=await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg'),
+                            name=bot_info.user_remark or bot_info.user_displayname or bot_info.user_name,
+                        ),
+                        command='茶服查我',
+                    ),
+                )
+            ) as page_hash:
+                await UniMessage.image(
+                    raw=await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
+                ).finish()

nonebot_plugin_tetris_stats/games/tos/constant.py

@@ -1,6 +1,8 @@
+from re import compile
 from typing import Literal
 
 GAME_TYPE: Literal['TOS'] = 'TOS'
+
 BASE_URL = {
     'https://teatube.cn:8888/',
     'http://cafuuchino1.studio26f.org:19970',
@@ -8,3 +10,7 @@ BASE_URL = {
     'http://cafuuchino3.studio26f.org:19970',
     'http://cafuuchino4.studio26f.org:19970',
 }
+
+USER_NAME = compile(
+    r'^(?!\.)(?!com[0-9]$)(?!con$)(?!lpt[0-9]$)(?!nul$)(?!prn$)[^\-][^\+][^\|\*\?\\\s\!:<>/$"]*[^\.\|\*\?\\\s\!:<>/$"]+$'
+)

nonebot_plugin_tetris_stats/games/tos/query.py

@@ -0,0 +1,252 @@
+from asyncio import gather
+from datetime import timedelta
+from http import HTTPStatus
+from typing import Literal, NamedTuple
+
+from nonebot.adapters import Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import get_user  # type: ignore[import-untyped]
+from nonebot_plugin_userinfo import EventUserInfo, UserInfo  # type: ignore[import-untyped]
+
+from ...db import query_bind_info, trigger
+from ...utils.exception import RequestError
+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.schemas.base import People, Ranking
+from ...utils.render.schemas.tos_info import Info, Multiplayer, Radar
+from ...utils.screenshot import screenshot
+from ...utils.typing import Me, Number
+from ..constant import CANT_VERIFY_MESSAGE
+from . import alc
+from .api import Player
+from .api.schemas.user_info import UserInfoSuccess
+from .constant import GAME_TYPE
+
+
+def add_special_handlers(
+    teaid_prefix: Literal['onebot-', 'kook-', 'discord-', 'qqguild-'], match_event: type[Event]
+) -> None:
+    @alc.assign('TOS.query')
+    async def _(
+        event: Event,
+        target: At | Me,
+        event_session: EventSession,
+        event_user_info: UserInfo = EventUserInfo(),  # noqa: B008
+    ):
+        if isinstance(event, match_event):
+            async with trigger(
+                session_persist_id=await get_session_persist_id(event_session),
+                game_platform=GAME_TYPE,
+                command_type='query',
+                command_args=[],
+            ):
+                player = Player(
+                    teaid=f'{teaid_prefix}{target.target}'
+                    if isinstance(target, At)
+                    else f'{teaid_prefix}{event.get_user_id()}',
+                    trust=True,
+                )
+                try:
+                    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)
+                        ).finish()
+                    await make_query_text(user_info, game_data).finish()
+                except RequestError as e:
+                    if e.status_code == HTTPStatus.BAD_REQUEST and '未找到此用户' in e.message:
+                        return
+                    raise
+
+
+try:
+    from nonebot.adapters.onebot.v11 import MessageEvent as OB11MessageEvent
+
+    add_special_handlers('onebot-', OB11MessageEvent)
+except ImportError:
+    pass
+
+try:
+    from nonebot.adapters.qq.event import GuildMessageEvent as QQGuildMessageEvent
+    from nonebot.adapters.qq.event import QQMessageEvent
+
+    add_special_handlers('qqguild-', QQGuildMessageEvent)
+    add_special_handlers('onebot-', QQMessageEvent)
+except ImportError:
+    pass
+
+try:
+    from nonebot.adapters.kaiheila.event import MessageEvent as KookMessageEvent
+
+    add_special_handlers('kook-', KookMessageEvent)
+except ImportError:
+    pass
+
+try:
+    from nonebot.adapters.discord import MessageEvent as DiscordMessageEvent
+
+    add_special_handlers('discord-', DiscordMessageEvent)
+except ImportError:
+    pass
+
+
+@alc.assign('TOS.query')
+async def _(
+    event: Event,
+    matcher: Matcher,
+    target: At | Me,
+    event_session: EventSession,
+    event_user_info: UserInfo = EventUserInfo(),  # noqa: B008
+):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='query',
+        command_args=[],
+    ):
+        async with get_session() as session:
+            bind = await query_bind_info(
+                session=session,
+                user=await get_user(
+                    event_session.platform, target.target if isinstance(target, At) else event.get_user_id()
+                ),
+                game_platform=GAME_TYPE,
+            )
+        if bind is None:
+            await matcher.finish('未查询到绑定信息')
+        message = CANT_VERIFY_MESSAGE
+        player = Player(teaid=bind.game_account, trust=True)
+        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))
+            ).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 with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='query',
+        command_args=[],
+    ):
+        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 make_query_text(user_info, game_data).finish()
+
+
+class GameData(NamedTuple):
+    game_num: int
+    metrics: TetrisMetricsProWithLPMADPM
+    OR: Number
+    dspp: Number
+    ge: Number
+
+
+async def get_game_data(player: Player, query_num: int = 50) -> GameData | None:
+    """获取游戏数据"""
+    user_profile = await player.get_profile()
+    if user_profile.data == []:
+        return None
+    weighted_total_lpm = weighted_total_apm = weighted_total_adpm = total_time = 0.0
+    total_attack = total_dig = total_offset = total_pieses = total_receive = num = 0
+    for i in user_profile.data:
+        # 排除单人局和时间为0的游戏
+        # 茶: 不计算没挖掘的局, 即使apm和lpm也如此
+        if i.num_players == 1 or i.time == 0 or i.dig is None:
+            continue
+        # 加权计算
+        time = i.time / 1000
+        lpm = 24 * (i.pieces / time)
+        apm = (i.attack / time) * 60
+        adpm = ((i.attack + i.dig) / time) * 60
+        weighted_total_lpm += lpm * time
+        weighted_total_apm += apm * time
+        weighted_total_adpm += adpm * time
+        total_attack += i.attack
+        total_dig += i.dig
+        total_offset += i.offset
+        total_pieses += i.pieces
+        total_receive += i.receive
+        total_time += time
+        num += 1
+        if num >= query_num:
+            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
+    metrics = get_metrics(
+        lpm=weighted_total_lpm / total_time, apm=weighted_total_apm / total_time, adpm=weighted_total_adpm / total_time
+    )
+    return GameData(
+        game_num=num,
+        metrics=metrics,
+        OR=total_offset / total_receive * 100,
+        dspp=total_dig / total_pieses,
+        ge=2 * ((total_attack * total_dig) / total_pieses**2),
+    )
+
+
+async def make_query_image(user_info: UserInfoSuccess, game_data: GameData, event_user_info: UserInfo) -> 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
+    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),
+                ranking=Ranking(rating=float(user_info.data.ranking), rd=round(float(user_info.data.rd_now), 2)),
+                multiplayer=Multiplayer(
+                    pps=metrics.pps,
+                    lpm=metrics.lpm,
+                    apm=metrics.apm,
+                    apl=metrics.apl,
+                    vs=metrics.vs,
+                    adpm=metrics.adpm,
+                    adpl=metrics.adpl,
+                ),
+                radar=Radar(
+                    app=(app := (metrics.apm / (60 * metrics.pps))),
+                    OR=game_data.OR,
+                    dspp=game_data.dspp,
+                    ci=150 * game_data.dspp - 125 * app + 50 * (metrics.vs / metrics.apm) - 25,
+                    ge=game_data.ge,
+                ),
+                sprint=sprint_value,
+                challenge=f'{int(user_info.data.pb_challenge):,}' if user_info.data.pb_challenge != '0' else 'N/A',
+                marathon=f'{int(user_info.data.pb_marathon):,}' if user_info.data.pb_marathon != '0' else 'N/A',
+            ),
+        )
+    ) as page_hash:
+        return await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
+
+
+def make_query_text(user_info: UserInfoSuccess, game_data: GameData | None) -> UniMessage:
+    user_data = user_info.data
+    message = f'用户 {user_data.name} ({user_data.teaid}) '
+    if user_data.ranked_games == '0':
+        message += '暂无段位统计数据'
+    else:
+        message += f', 段位分 {round(float(user_data.rating_now),2)}±{round(float(user_data.rd_now),2)} ({round(float(user_data.vol_now),2)}) '
+    if game_data is None:
+        message += ', 暂无游戏数据'
+    else:
+        message += f', 最近 {game_data.game_num} 局数据'
+        message += f"\nL'PM: {game_data.metrics.lpm} ( {game_data.metrics.pps} pps )"
+        message += f'\nAPM: {game_data.metrics.apm} ( x{game_data.metrics.apl} )'
+        message += f'\nADPM: {game_data.metrics.adpm} ( x{game_data.metrics.adpl} ) ( {game_data.metrics.vs}vs )'
+    message += f'\n40L: {float(user_data.pb_sprint)/1000:.2f}s' if user_data.pb_sprint != '2147483647' else ''
+    message += f'\nMarathon: {user_data.pb_marathon}' if user_data.pb_marathon != '0' else ''
+    message += f'\nChallenge: {user_data.pb_challenge}' if user_data.pb_challenge != '0' else ''
+    return UniMessage(message)

nonebot_plugin_tetris_stats/utils/browser.py

@@ -15,12 +15,12 @@ global_config = driver.config
 
 @driver.on_startup
 async def _():
-    await BrowserManager._init_playwright()
+    await BrowserManager.init_playwright()
 
 
 @driver.on_shutdown
 async def _():
-    await BrowserManager._close_browser()
+    await BrowserManager.close_browser()
 
 
 class BrowserManager:
@@ -29,9 +29,10 @@ class BrowserManager:
     _browser: Browser | None = None
 
     @classmethod
-    async def _init_playwright(cls) -> None:
+    async def init_playwright(cls) -> None:
         if system() == 'Windows' and getattr(global_config, 'fastapi_reload', False):
-            raise ImportError('加载失败, Windows 必须设置 FASTAPI_RELOAD=false 才能正常运行 playwright')
+            msg = '加载失败, Windows 必须设置 FASTAPI_RELOAD=false 才能正常运行 playwright'
+            raise ImportError(msg)
         logger.info('开始 安装/更新 playwright 浏览器')
         environ['PLAYWRIGHT_DOWNLOAD_HOST'] = 'https://npmmirror.com/mirrors/playwright/'
         if cls._call_playwright(['', 'install', 'firefox']):
@@ -46,9 +47,8 @@ class BrowserManager:
         try:
             await cls._start_browser()
         except BaseException as e:  # 不知道会有什么异常, 交给用户解决
-            raise ImportError(
-                'playwright 启动失败, 请尝试在命令行运行 playwright install-deps firefox, 如果仍然启动失败, 请参考上面的报错👆'
-            ) from e
+            msg = 'playwright 启动失败, 请尝试在命令行运行 playwright install-deps firefox, 如果仍然启动失败, 请参考上面的报错👆'
+            raise ImportError(msg) from e
         else:
             logger.success('playwright 启动成功')
 
@@ -81,7 +81,7 @@ class BrowserManager:
         return cls._browser or await cls._start_browser()
 
     @classmethod
-    async def _close_browser(cls) -> None:
+    async def close_browser(cls) -> None:
         """关闭浏览器实例"""
         if isinstance(cls._browser, Browser):
             await cls._browser.close()

nonebot_plugin_tetris_stats/utils/exception.py

@@ -27,6 +27,14 @@ class MessageFormatError(NeedCatchError):
     """用户发送的消息格式不正确"""
 
 
+class RecordNotFoundError(NeedCatchError):
+    """找不到用户的某种记录"""
+
+
+class FallbackError(NeedCatchError):
+    """需要回滚至更通用的方法"""
+
+
 class DoNotCatchError(TetrisStatsError):
     """不应该被捕获的异常基类"""
 
@@ -35,5 +43,5 @@ class WhatTheFuckError(DoNotCatchError):
     """用于表示不应该出现的情况 ("""
 
 
-class HandleNotFinishedError(DoNotCatchError):
-    """任务没有正常完成处理的错误"""
+class NoFallbackError(DoNotCatchError):  # 暂时没用 但是先写了
+    """没有可用的回退方法"""

nonebot_plugin_tetris_stats/utils/host.py

@@ -1,26 +1,31 @@
 from hashlib import sha256
 from ipaddress import IPv4Address, IPv6Address
-from typing import ClassVar
+from typing import TYPE_CHECKING, ClassVar, Literal
 
-from fastapi import FastAPI, status
-from fastapi.responses import HTMLResponse
+from fastapi import FastAPI, Path, status
+from fastapi.responses import FileResponse, HTMLResponse, Response
 from fastapi.staticfiles import StaticFiles
 from nonebot import get_app, get_driver
-from nonebot_plugin_localstore import get_cache_dir  # type: ignore[import-untyped]
-from pydantic import IPvAnyAddress
+from nonebot.log import logger
 
+from ..config.config import CACHE_PATH
+from .image import img_to_png
+from .request import Request
 from .templates import templates_dir
 
-app = get_app()
+if TYPE_CHECKING:
+    from pydantic import IPvAnyAddress
+
+app: FastAPI = get_app()
 
 driver = get_driver()
 
 global_config = driver.config
 
-cache_dir = get_cache_dir('nonebot_plugin_tetris_stats')
 
 if not isinstance(app, FastAPI):
-    raise RuntimeError('本插件需要 FastAPI 驱动器才能运行')  # noqa: TRY004
+    msg = '本插件需要 FastAPI 驱动器才能运行'
+    raise RuntimeError(msg)  # noqa: TRY004
 
 NOT_FOUND = HTMLResponse('404 Not Found', status_code=status.HTTP_404_NOT_FOUND)
 
@@ -39,11 +44,14 @@ class HostPage:
         self.pages.pop(self.page_hash, None)
 
 
-app.mount(
-    '/host/assets',
-    StaticFiles(directory=templates_dir / 'assets'),
-    name='assets',
-)
+@driver.on_startup
+def _():
+    app.mount(
+        '/host/assets',
+        StaticFiles(directory=templates_dir / 'assets'),
+        name='assets',
+    )
+    logger.success('assets mounted')
 
 
 @app.get('/host/{page_hash}.html', status_code=status.HTTP_200_OK)
@@ -53,6 +61,22 @@ async def _(page_hash: str) -> HTMLResponse:
     return NOT_FOUND
 
 
+@app.get('/host/resource/tetrio/{resource_type}/{user_id}', status_code=status.HTTP_200_OK)
+async def _(
+    resource_type: Literal['avatars', 'banners'], revision: int, user_id: str = Path(regex=r'^[a-f0-9]{24}$')
+) -> Response:
+    if not (path := CACHE_PATH / 'tetrio' / resource_type / f'{user_id}_{revision}.png').exists():
+        path.parent.mkdir(parents=True, exist_ok=True)
+        path.write_bytes(
+            img_to_png(
+                await Request.request(
+                    f'https://tetr.io/user-content/{resource_type}/{user_id}.jpg?rv={revision}', is_json=False
+                )
+            )
+        )
+    return FileResponse(path)
+
+
 def get_self_netloc() -> str:
     host: IPv4Address | IPv6Address | IPvAnyAddress = global_config.host
     if isinstance(host, IPv4Address):

nonebot_plugin_tetris_stats/utils/image.py

@@ -41,12 +41,22 @@ async def get_avatar(user: UserInfo, scheme: Literal['bytes'], default: str | No
 async def get_avatar(user: UserInfo, scheme: Literal['Data URI', 'bytes'], default: str | None) -> str | bytes:
     if user.user_avatar is None:
         if default is None:
-            raise TypeError("Can't get avatar")
+            msg = "Can't get avatar"
+            raise TypeError(msg)
         return default
     bot_avatar = await user.user_avatar.get_image()
     if scheme == 'Data URI':
         avatar_format = Image.open(BytesIO(bot_avatar)).format
         if avatar_format is None:
-            raise TypeError("Can't get avatar format")
+            msg = "Can't get avatar format"
+            raise TypeError(msg)
         return f'data:{Image.MIME[avatar_format]};base64,{b64encode(bot_avatar).decode()}'
     return bot_avatar
+
+
+def img_to_png(image: bytes) -> bytes:
+    """将图片转换为 PNG 格式"""
+    result = BytesIO()
+    with Image.open(BytesIO(image)) as img:
+        img.save(result, 'PNG')
+    return result.getvalue()

nonebot_plugin_tetris_stats/utils/metrics.py

@@ -147,133 +147,93 @@ class TetrisMetricsProWithLPMADPM(TetrisMetricsBasicWithLPM, TetrisMetricsBaseWi
 def get_metrics(
     *,
     pps: Number,
-    lpm: None = None,
-    apm: None = None,
-    vs: None = None,
-    adpm: None = None,
     precision: int = 2,
-) -> TetrisMetricsBaseWithPPS:
-    ...
+) -> TetrisMetricsBaseWithPPS: ...
 
 
 @overload
 def get_metrics(
     *,
-    pps: None = None,
     lpm: Number,
-    apm: None = None,
-    vs: None = None,
-    adpm: None = None,
     precision: int = 2,
-) -> TetrisMetricsBaseWithLPM:
-    ...
+) -> TetrisMetricsBaseWithLPM: ...
 
 
 @overload
 def get_metrics(
     *,
-    pps: None = None,
-    lpm: None = None,
-    apm: None = None,
     vs: Number,
-    adpm: None = None,
     precision: int = 2,
-) -> TetrisMetricsBaseWithVS:
-    ...
+) -> TetrisMetricsBaseWithVS: ...
 
 
 @overload
 def get_metrics(
     *,
-    pps: None = None,
-    lpm: None = None,
-    apm: None = None,
-    vs: None = None,
     adpm: Number,
     precision: int = 2,
-) -> TetrisMetricsBaseWithADPM:
-    ...
+) -> TetrisMetricsBaseWithADPM: ...
 
 
 @overload
 def get_metrics(
     *,
     pps: Number,
-    lpm: None = None,
     apm: Number,
-    vs: None = None,
-    adpm: None = None,
     precision: int = 2,
-) -> TetrisMetricsBasicWithPPS:
-    ...
+) -> TetrisMetricsBasicWithPPS: ...
 
 
 @overload
 def get_metrics(
     *,
-    pps: None = None,
     lpm: Number,
     apm: Number,
-    vs: None = None,
-    adpm: None = None,
     precision: int = 2,
-) -> TetrisMetricsBasicWithLPM:
-    ...
+) -> TetrisMetricsBasicWithLPM: ...
 
 
 @overload
 def get_metrics(
     *,
     pps: Number,
-    lpm: None = None,
     apm: Number,
     vs: Number,
-    adpm: None = None,
     precision: int = 2,
-) -> TetrisMetricsProWithPPSVS:
-    ...
+) -> TetrisMetricsProWithPPSVS: ...
 
 
 @overload
 def get_metrics(
     *,
     pps: Number,
-    lpm: None = None,
     apm: Number,
-    vs: None = None,
     adpm: Number,
     precision: int = 2,
-) -> TetrisMetricsProWithPPSADPM:
-    ...
+) -> TetrisMetricsProWithPPSADPM: ...
 
 
 @overload
 def get_metrics(
     *,
-    pps: None = None,
     lpm: Number,
     apm: Number,
     vs: Number,
-    adpm: None = None,
     precision: int = 2,
-) -> TetrisMetricsProWithLPMVS:
-    ...
+) -> TetrisMetricsProWithLPMVS: ...
 
 
 @overload
 def get_metrics(
     *,
-    pps: None = None,
     lpm: Number,
     apm: Number,
-    vs: None = None,
     adpm: Number,
     precision: int = 2,
-) -> TetrisMetricsProWithLPMADPM:
-    ...
+) -> TetrisMetricsProWithLPMADPM: ...
 
 
-def get_metrics(  # noqa: PLR0911, PLR0912, PLR0913
+def get_metrics(  # noqa: PLR0911, PLR0912, PLR0913, C901
     *,
     pps: Number | None = None,
     lpm: Number | None = None,

nonebot_plugin_tetris_stats/utils/platform.py

@@ -1,19 +0,0 @@
-from nonebot.adapters import Bot
-
-
-def get_platform(bot: Bot) -> str:
-    try:
-        from nonebot.adapters.onebot.v12 import Bot as OB12Bot
-
-        if isinstance(bot, OB12Bot):
-            return bot.platform
-    except ImportError:
-        pass
-    try:
-        from nonebot.adapters.satori import Bot as SaBot
-
-        if isinstance(bot, SaBot):
-            return bot.platform
-    except ImportError:
-        pass
-    return bot.type

nonebot_plugin_tetris_stats/utils/recorder.py

@@ -1,94 +0,0 @@
-from datetime import datetime, timezone
-from typing import ClassVar
-
-from nonebot import get_driver, get_plugin
-from nonebot.adapters import Bot, Event
-from nonebot.matcher import Matcher
-from nonebot.message import run_postprocessor, run_preprocessor
-from nonebot_plugin_orm import get_session
-
-from ..db.models import HistoricalData
-
-UTC = timezone.utc
-
-driver = get_driver()
-
-
-class Recorder:
-    matchers: ClassVar[set[type[Matcher]]] = set()
-    historical_data: ClassVar[dict[int, tuple[HistoricalData, bool]]] = {}
-    error_event: ClassVar[set[int]] = set()
-
-    @classmethod
-    def create_historical_data(cls, event_id: int, historical_data: HistoricalData) -> None:
-        cls.historical_data[event_id] = (historical_data, False)
-
-    @classmethod
-    def update_historical_data(cls, event_id: int, historical_data: HistoricalData) -> None:
-        if event_id not in cls.historical_data:
-            raise KeyError
-        cls.historical_data[event_id] = (historical_data, True)
-
-    @classmethod
-    def get_historical_data(cls, event_id: int) -> HistoricalData:
-        return cls.historical_data[event_id][0]
-
-    @classmethod
-    async def save_historical_data(cls, event_id: int) -> None:
-        historical_data, completed = cls.del_historical_data(event_id)
-        if completed:
-            async with get_session() as session:
-                session.add(historical_data)
-                await session.commit()
-
-    @classmethod
-    def del_historical_data(cls, event_id: int) -> tuple[HistoricalData, bool]:
-        return cls.historical_data.pop(event_id)
-
-    @classmethod
-    def add_error_event(cls, event_id: int) -> None:
-        cls.error_event.add(event_id)
-
-    @classmethod
-    def del_error_event(cls, event_id: int) -> None:
-        cls.error_event.remove(event_id)
-
-    @classmethod
-    def is_error_event(cls, event_id: int) -> bool:
-        return event_id in cls.error_event
-
-
-@driver.on_startup
-def _():
-    plugin = get_plugin('nonebot_plugin_tetris_stats')
-    if plugin is not None:
-        Recorder.matchers = plugin.matcher
-    else:
-        raise RuntimeError('获取不到自身插件对象')
-
-
-@run_preprocessor
-def _(bot: Bot, event: Event, matcher: Matcher):
-    if isinstance(matcher, tuple(Recorder.matchers)):
-        Recorder.create_historical_data(
-            event_id=id(event),
-            historical_data=HistoricalData(
-                trigger_time=datetime.now(tz=UTC),
-                bot_platform=bot.type,
-                bot_account=bot.self_id,
-                source_type=event.get_type(),
-                source_account=event.get_session_id(),
-                message=event.get_message(),
-            ),
-        )
-
-
-@run_postprocessor
-async def _(event: Event, matcher: Matcher, exception: Exception | None):
-    if isinstance(matcher, tuple(Recorder.matchers)):
-        event_id = id(event)
-        if exception is not None:
-            Recorder.add_error_event(event_id)
-            Recorder.del_historical_data(event_id)
-        else:
-            await Recorder.save_historical_data(event_id)

nonebot_plugin_tetris_stats/utils/render.py

@@ -1,104 +0,0 @@
-from datetime import datetime
-from typing import Annotated, ClassVar, Literal, overload
-
-from jinja2 import Environment, FileSystemLoader
-from nonebot.compat import PYDANTIC_V2
-from pydantic import BaseModel
-
-from ..game_data_processor.io_data_processor.typing import Rank
-from .templates import templates_dir
-from .typing import Number
-
-if PYDANTIC_V2:
-    from pydantic import PlainSerializer
-
-env = Environment(
-    loader=FileSystemLoader(templates_dir), autoescape=True, trim_blocks=True, lstrip_blocks=True, enable_async=True
-)
-
-
-def format_datetime_to_timestamp(dt: datetime) -> int:
-    return int(dt.timestamp() * 1000)
-
-
-class Bind(BaseModel):
-    class People(BaseModel):
-        avatar: str
-        name: str
-
-    platform: Literal['TETR.IO', 'TOP', 'TOS']
-    status: Literal['error', 'success', 'unknown', 'unlink', 'unverified']
-    user: People
-    bot: People
-    command: str
-
-
-class TETRIOInfo(BaseModel):
-    class User(BaseModel):
-        avatar: str
-        name: str
-        bio: str | None
-
-    class Ranking(BaseModel):
-        rating: Number
-        rd: Number
-
-    class TetraLeague(BaseModel):
-        rank: Rank
-        tr: Number
-        global_rank: Number
-        pps: Number
-        lpm: Number
-        apm: Number
-        apl: Number
-        vs: Number
-        adpm: Number
-        adpl: Number
-
-    class TetraLeagueHistory(BaseModel):
-        class Data(BaseModel):
-            if PYDANTIC_V2:
-                record_at: Annotated[datetime, PlainSerializer(format_datetime_to_timestamp, return_type=int)]
-            else:
-                record_at: datetime  # type: ignore[no-redef]
-            tr: Number
-
-        data: list[Data]
-        split_interval: Number
-        min_tr: Number
-        max_tr: Number
-        offset: Number
-
-    class Radar(BaseModel):
-        app: Number
-        dsps: Number
-        dspp: Number
-        ci: Number
-        ge: Number
-
-    user: User
-    ranking: Ranking
-    tetra_league: TetraLeague
-    tetra_league_history: TetraLeagueHistory
-    radar: Radar
-    sprint: str
-    blitz: str
-
-    if not PYDANTIC_V2:
-
-        class Config:
-            json_encoders: ClassVar[dict] = {datetime: format_datetime_to_timestamp}
-
-
-@overload
-async def render(render_type: Literal['binding'], data: Bind) -> str: ...
-
-
-@overload
-async def render(render_type: Literal['tetrio/info'], data: TETRIOInfo) -> str: ...
-
-
-async def render(render_type: Literal['binding', 'tetrio/info'], data: Bind | TETRIOInfo) -> str:
-    if PYDANTIC_V2:
-        return await env.get_template('index.html').render_async(path=render_type, data=data.model_dump_json())
-    return await env.get_template('index.html').render_async(path=render_type, data=data.json())

nonebot_plugin_tetris_stats/utils/render/__init__.py

@@ -0,0 +1,67 @@
+from typing import Literal, overload
+
+from jinja2 import Environment, FileSystemLoader
+from nonebot.compat import PYDANTIC_V2
+
+from ..templates import templates_dir
+from .schemas.bind import Bind
+from .schemas.tetrio_info import Info as TETRIOInfo
+from .schemas.tetrio_info_v2 import Info as TETRIOInfoV2
+from .schemas.tetrio_record_blitz import Record as TETRIORecordBlitz
+from .schemas.tetrio_record_sprint import Record as TETRIORecordSprint
+from .schemas.top_info import Info as TOPInfo
+from .schemas.tos_info import Info as TOSInfo
+
+env = Environment(
+    loader=FileSystemLoader(templates_dir), autoescape=True, trim_blocks=True, lstrip_blocks=True, enable_async=True
+)
+
+
+@overload
+async def render(render_type: Literal['v1/binding'], data: Bind) -> str: ...
+
+
+@overload
+async def render(render_type: Literal['v1/tetrio/info'], data: TETRIOInfo) -> str: ...
+
+
+@overload
+async def render(render_type: Literal['v1/top/info'], data: TOPInfo) -> str: ...
+
+
+@overload
+async def render(render_type: Literal['v1/tos/info'], data: TOSInfo) -> str: ...
+
+
+@overload
+async def render(render_type: Literal['v2/tetrio/info'], data: TETRIOInfoV2) -> str: ...
+
+
+@overload
+async def render(render_type: Literal['v2/tetrio/record/40l'], data: TETRIORecordSprint) -> str: ...
+
+
+@overload
+async def render(render_type: Literal['v2/tetrio/record/blitz'], data: TETRIORecordBlitz) -> str: ...
+
+
+async def render(
+    render_type: Literal[
+        'v1/binding',
+        'v1/tetrio/info',
+        'v1/top/info',
+        'v1/tos/info',
+        'v2/tetrio/info',
+        'v2/tetrio/record/40l',
+        'v2/tetrio/record/blitz',
+    ],
+    data: Bind | TETRIOInfo | TOPInfo | TOSInfo | TETRIOInfoV2 | TETRIORecordSprint | TETRIORecordBlitz,
+) -> str:
+    if PYDANTIC_V2:
+        return await env.get_template('index.html').render_async(
+            path=render_type, data=data.model_dump_json(by_alias=True)
+        )
+    return await env.get_template('index.html').render_async(path=render_type, data=data.json(by_alias=True))
+
+
+__all__ = ['render']

nonebot_plugin_tetris_stats/utils/render/schemas/base.py

@@ -0,0 +1,20 @@
+from typing import Literal
+
+from pydantic import BaseModel
+
+from ...typing import Number
+
+
+class Avatar(BaseModel):
+    type: Literal['identicon']
+    hash: str
+
+
+class People(BaseModel):
+    avatar: str | Avatar
+    name: str
+
+
+class Ranking(BaseModel):
+    rating: Number
+    rd: Number

nonebot_plugin_tetris_stats/utils/render/schemas/bind.py

@@ -0,0 +1,13 @@
+from typing import Literal
+
+from pydantic import BaseModel
+
+from .base import People
+
+
+class Bind(BaseModel):
+    platform: Literal['TETR.IO', 'TOP', 'TOS']
+    status: Literal['error', 'success', 'unknown', 'unlink', 'unverified']
+    user: People
+    bot: People
+    command: str

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio_info.py

@@ -0,0 +1,72 @@
+from datetime import datetime
+from typing import Annotated, ClassVar
+
+from nonebot.compat import PYDANTIC_V2
+from pydantic import BaseModel
+
+from ....games.tetrio.api.typing import Rank
+from ...typing import Number
+from .base import People, Ranking
+
+if PYDANTIC_V2:
+    from pydantic import PlainSerializer
+
+
+def format_datetime_to_timestamp(dt: datetime) -> int:
+    return int(dt.timestamp() * 1000)
+
+
+class User(People):
+    bio: str | None
+
+
+class TetraLeague(BaseModel):
+    rank: Rank
+    tr: Number
+    global_rank: Number
+    pps: Number
+    lpm: Number
+    apm: Number
+    apl: Number
+    vs: Number
+    adpm: Number
+    adpl: Number
+
+
+class Data(BaseModel):
+    if PYDANTIC_V2:
+        record_at: Annotated[datetime, PlainSerializer(format_datetime_to_timestamp, return_type=int)]
+    else:
+        record_at: datetime  # type: ignore[no-redef]
+    tr: Number
+
+
+class TetraLeagueHistory(BaseModel):
+    data: list[Data]
+    split_interval: Number
+    min_tr: Number
+    max_tr: Number
+    offset: Number
+
+
+class Radar(BaseModel):
+    app: Number
+    dsps: Number
+    dspp: Number
+    ci: Number
+    ge: Number
+
+
+class Info(BaseModel):
+    user: User
+    ranking: Ranking
+    tetra_league: TetraLeague
+    tetra_league_history: TetraLeagueHistory
+    radar: Radar
+    sprint: str
+    blitz: str
+
+    if not PYDANTIC_V2:
+
+        class Config:
+            json_encoders: ClassVar[dict] = {datetime: format_datetime_to_timestamp}

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio_info_v2.py

@@ -0,0 +1,94 @@
+from datetime import datetime
+
+from pydantic import BaseModel
+
+from ....games.tetrio.api.schemas.user_records import Zen
+from ....games.tetrio.api.typing import Rank
+from ...typing import Number
+from .base import Avatar
+
+
+class Badge(BaseModel):
+    id: str
+    description: str
+    group: str | None
+    receive_at: datetime | None
+
+
+class User(BaseModel):
+    id: str
+    name: str
+    country: str | None
+
+    avatar: str | Avatar
+    banner: str | None
+
+    bio: str | None
+
+    friend_count: int
+    supporter_tier: int
+
+    verified: bool
+    bad_standing: bool
+
+    badges: list[Badge]
+    xp: Number
+
+    playtime: str | None
+    join_at: datetime | None
+
+
+class Statistic(BaseModel):
+    total: int | None
+    wins: int | None
+
+
+class TetraLeagueStatistic(BaseModel):
+    total: int
+    wins: int
+
+
+class TetraLeague(BaseModel):
+    rank: Rank
+    highest_rank: Rank
+
+    tr: Number
+
+    glicko: Number
+    rd: Number
+
+    global_rank: int | None
+    country_rank: int | None
+
+    pps: Number
+
+    apm: Number
+    apl: Number
+
+    vs: Number | None
+    adpl: Number | None
+
+    statistic: TetraLeagueStatistic
+
+    decaying: bool
+
+
+class Sprint(BaseModel):
+    time: str
+    global_rank: int | None
+    play_at: datetime
+
+
+class Blitz(BaseModel):
+    score: int
+    global_rank: int | None
+    play_at: datetime
+
+
+class Info(BaseModel):
+    user: User
+    tetra_league: TetraLeague | None
+    statistic: Statistic | None
+    sprint: Sprint | None
+    blitz: Blitz | None
+    zen: Zen

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio_record_base.py

@@ -0,0 +1,58 @@
+from pydantic import BaseModel
+
+from .base import People
+
+
+class User(People):
+    id: str
+
+
+class Max(BaseModel):
+    combo: int
+    btb: int
+
+
+class Mini(BaseModel):
+    total: int
+    single: int
+    double: int
+
+
+class Tspins(BaseModel):
+    total: int
+    single: int
+    double: int
+    triple: int
+
+    mini: Mini
+
+
+class Finesse(BaseModel):
+    faults: int
+    accuracy: float
+
+
+class RecordStatistic(BaseModel):
+    keys: int
+    kpp: float
+    kps: float
+
+    max: Max
+
+    pieces: int
+    pps: float
+    lines: int
+    lpm: float
+    holds: int | None
+    score: int
+
+    single: int
+    double: int
+    triple: int
+    quad: int
+
+    tspins: Tspins
+
+    all_clear: int
+
+    finesse: Finesse

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio_record_blitz.py

@@ -0,0 +1,22 @@
+from datetime import datetime
+
+from pydantic import BaseModel
+
+from .tetrio_record_base import RecordStatistic, User
+
+
+class Statistic(RecordStatistic):
+    spp: float
+
+    level: int
+
+
+class Record(BaseModel):
+    user: User
+
+    replay_id: str
+    rank: int | None
+
+    statistic: Statistic
+
+    play_at: datetime

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio_record_sprint.py

@@ -0,0 +1,18 @@
+from datetime import datetime
+
+from pydantic import BaseModel
+
+from .tetrio_record_base import RecordStatistic as Statistic
+from .tetrio_record_base import User
+
+
+class Record(BaseModel):
+    user: User
+
+    time: str
+    replay_id: str
+    rank: int | None
+
+    statistic: Statistic
+
+    play_at: datetime

nonebot_plugin_tetris_stats/utils/render/schemas/top_info.py

@@ -0,0 +1,17 @@
+from pydantic import BaseModel
+
+from ...typing import Number
+from .base import People
+
+
+class Data(BaseModel):
+    pps: Number
+    lpm: Number
+    apm: Number
+    apl: Number
+
+
+class Info(BaseModel):
+    user: People
+    today: Data
+    history: Data

nonebot_plugin_tetris_stats/utils/render/schemas/tos_info.py

@@ -0,0 +1,32 @@
+from pydantic import BaseModel, Field
+
+from ...typing import Number
+from .base import People, Ranking
+
+
+class Multiplayer(BaseModel):
+    pps: Number
+    lpm: Number
+    apm: Number
+    apl: Number
+    vs: Number
+    adpm: Number
+    adpl: Number
+
+
+class Radar(BaseModel):
+    app: Number
+    OR: Number = Field(serialization_alias='or')
+    dspp: Number
+    ci: Number
+    ge: Number
+
+
+class Info(BaseModel):
+    user: People
+    ranking: Ranking
+    multiplayer: Multiplayer
+    radar: Radar
+    sprint: str
+    challenge: str
+    marathon: str

nonebot_plugin_tetris_stats/utils/request.py

@@ -19,13 +19,13 @@ config = get_plugin_config(Config)
 
 @driver.on_startup
 async def _():
-    await Request._init_cache()
-    await Request._read_cache()
+    await Request.init_cache()
+    await Request.read_cache()
 
 
 @driver.on_shutdown
 async def _():
-    await Request._write_cache()
+    await Request.write_cache()
 
 
 def splice_url(url_list: list[str]) -> str:
@@ -66,7 +66,8 @@ class Request:
                     await page.wait_for_timeout(1000)
                 else:
                     if not isinstance(response, Response):
-                        raise RequestError('api请求失败')
+                        msg = 'api请求失败'
+                        raise RequestError(msg)
                     cls._headers = await response.request.all_headers()
                     try:
                         cls._cookies = {
@@ -77,41 +78,42 @@ class Request:
                     except KeyError:
                         cls._cookies = None
                     return await response.body()
-        raise RequestError('绕过五秒盾失败')
+        msg = '绕过五秒盾失败'
+        raise RequestError(msg)
 
     @classmethod
-    async def _init_cache(cls) -> None:
+    async def init_cache(cls) -> None:
         """初始化缓存文件"""
         if not cls._CACHE_FILE.exists():
             async with open(file=cls._CACHE_FILE, mode='w', encoding='UTF-8') as file:
                 await file.write(dumps({'headers': cls._headers, 'cookies': cls._cookies}))
 
     @classmethod
-    async def _read_cache(cls) -> None:
+    async def read_cache(cls) -> None:
         """读取缓存文件"""
         try:
             async with open(file=cls._CACHE_FILE, mode='r', encoding='UTF-8') as file:
                 json = loads(await file.read())
         except FileNotFoundError:
-            await cls._init_cache()
+            await cls.init_cache()
         except (PermissionError, JSONDecodeError):
             cls._CACHE_FILE.unlink()
-            await cls._init_cache()
+            await cls.init_cache()
         else:
             cls._headers = json['headers']
             cls._cookies = json['cookies']
 
     @classmethod
-    async def _write_cache(cls) -> None:
+    async def write_cache(cls) -> None:
         """写入缓存文件"""
         try:
             async with open(file=cls._CACHE_FILE, mode='r+', encoding='UTF-8') as file:
                 await file.write(dumps({'headers': cls._headers, 'cookies': cls._cookies}))
         except FileNotFoundError:
-            await cls._init_cache()
+            await cls.init_cache()
         except (PermissionError, JSONDecodeError):
             cls._CACHE_FILE.unlink()
-            await cls._init_cache()
+            await cls.init_cache()
 
     @classmethod
     async def request(cls, url: str, *, is_json: bool = True) -> bytes:
@@ -120,15 +122,14 @@ class Request:
             async with AsyncClient(cookies=cls._cookies, timeout=config.tetris_req_timeout) as session:
                 response = await session.get(url, headers=cls._headers)
                 if response.status_code != HTTPStatus.OK:
-                    raise RequestError(
-                        f'请求错误 code: {response.status_code} {HTTPStatus(response.status_code).phrase}\n{response.text}',
-                        status_code=response.status_code,
-                    )
+                    msg = f'请求错误 code: {response.status_code} {HTTPStatus(response.status_code).phrase}\n{response.text}'
+                    raise RequestError(msg, status_code=response.status_code)
                 if is_json:
                     loads(response.content)
                 return response.content
         except HTTPError as e:
-            raise RequestError(f'请求错误 \n{e!r}') from e
+            msg = f'请求错误 \n{e!r}'
+            raise RequestError(msg) from e
         except JSONDecodeError:
             if urlparse(url).netloc.lower().endswith('tetr.io'):
                 return await cls._anti_cloudflare(url)
@@ -162,4 +163,5 @@ class Request:
                 else:
                     raise
                 continue
-        raise RequestError(f'所有地址皆不可用\n{error_list!r}')
+        msg = f'所有地址皆不可用\n{error_list!r}'
+        raise RequestError(msg)

nonebot_plugin_tetris_stats/utils/retry.py

@@ -1,37 +1,44 @@
 from asyncio import sleep
-from collections.abc import Awaitable, Callable
+from collections.abc import Callable, Coroutine
+from contextlib import suppress
 from datetime import timedelta
 from functools import wraps
-from typing import TypeVar, cast
+from typing import Any, ParamSpec, TypeVar
 
 from nonebot.log import logger
+from nonebot_plugin_alconna.uniseg import SerializeFailed, UniMessage
 
 T = TypeVar('T')
+P = ParamSpec('P')
 
 
 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]]:
+    reply: str | UniMessage | None = None,
+) -> Callable[[Callable[P, Coroutine[Any, Any, T]]], Callable[P, Coroutine[Any, Any, T]]]:
+    def decorator(func: Callable[P, Coroutine[Any, Any, T]]) -> Callable[P, Coroutine[Any, Any, T]]:
         @wraps(func)
-        async def wrapper(*args, **kwargs) -> T:  # noqa: ANN002, ANN003
-            attempts = 0
-            while attempts < max_attempts + 1:
+        async def wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+            for i in range(max_attempts + 1):
+                if i > 0:
+                    message = f'Retrying: {func.__name__} ({i}/{max_attempts})'
+                    logger.debug(message)
+                    with suppress(SerializeFailed):
+                        await UniMessage(reply or message).send()
+                if i == max_attempts:
+                    break
                 try:
                     return await func(*args, **kwargs)
-                except exception_type as e:  # noqa: PERF203
+                except exception_type as e:
+                    if i == max_attempts:
+                        raise
                     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')
+                    if delay is not None:
+                        await sleep(delay.total_seconds())
+            return await func(*args, **kwargs)
 
-        return cast(Callable[..., Awaitable[T]], wrapper)
+        return wrapper
 
     return decorator

nonebot_plugin_tetris_stats/utils/screenshot.py

@@ -1,11 +1,15 @@
+from playwright.async_api import TimeoutError
+
 from .browser import BrowserManager
+from .retry import retry
 
 
+@retry(exception_type=TimeoutError, reply='截图失败, 重试中')
 async def screenshot(url: str) -> bytes:
     browser = await BrowserManager.get_browser()
     async with (
-        await browser.new_page(no_viewport=True, viewport={'width': 0, 'height': 0}) as page,
+        await browser.new_page(viewport={'width': 3000, 'height': 3000}) as page,
     ):
         await page.goto(url)
         await page.wait_for_load_state('networkidle')
-        return await page.screenshot(full_page=True, type='png')
+        return await page.locator('id=content').screenshot(timeout=5000, type='png')

nonebot_plugin_tetris_stats/utils/templates.py

@@ -3,21 +3,24 @@ from shutil import rmtree
 
 from nonebot import get_driver
 from nonebot.log import logger
+from nonebot.permission import SUPERUSER
+from nonebot_plugin_alconna import on_alconna
 from nonebot_plugin_localstore import get_data_dir  # type: ignore[import-untyped]
 
 driver = get_driver()
 
 templates_dir = get_data_dir('nonebot_plugin_tetris_stats') / 'templates'
 
+alc = on_alconna('更新模板', permission=SUPERUSER)
+
 
 @driver.on_startup
 async def init_templates() -> None:
     try:
         await create_subprocess_exec('git', '--version', stdout=PIPE)
     except FileNotFoundError as e:
-        raise RuntimeError(
-            '未找到 git, 请确保 git 已安装并在环境变量中\n安装步骤请参阅: https://git-scm.com/book/zh/v2/%E8%B5%B7%E6%AD%A5-%E5%AE%89%E8%A3%85-Git'
-        ) from e
+        msg = '未找到 git, 请确保 git 已安装并在环境变量中\n安装步骤请参阅: https://git-scm.com/book/zh/v2/%E8%B5%B7%E6%AD%A5-%E5%AE%89%E8%A3%85-Git'
+        raise RuntimeError(msg) from e
     if not templates_dir.exists():
         logger.info('模板仓库不存在, 正在尝试初始化...')
         proc = await create_subprocess_exec(
@@ -35,7 +38,8 @@ async def init_templates() -> None:
         if proc.returncode != 0:
             for i in stderr.decode().splitlines():
                 logger.error(i)
-            raise RuntimeError('初始化模板仓库失败')
+            msg = '初始化模板仓库失败'
+            raise RuntimeError(msg)
         logger.success('模板仓库初始化成功')
         return
     proc = await create_subprocess_exec(
@@ -56,5 +60,12 @@ async def init_templates() -> None:
     if proc.returncode != 0:
         for i in stderr.decode().splitlines():
             logger.error(i)
-        raise RuntimeError('更新模板仓库失败')
+        msg = '更新模板仓库失败'
+        raise RuntimeError(msg)
     logger.success('模板仓库更新成功')
+
+
+@alc.handle()
+async def _():
+    await init_templates()
+    await alc.finish('模板仓库更新成功')