🔖 1.4.9

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

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

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

.github/workflows/TypeCheck.yml

@@ -0,0 +1,27 @@
+name: TypeCheck
+
+on:
+    push:
+
+jobs:
+    Mypy:
+        runs-on: ubuntu-latest
+        steps:
+            - uses: actions/checkout@v4
+
+            - name: Install poetry
+              run: pipx install poetry
+              shell: bash
+
+            - uses: actions/setup-python@v5
+              with:
+                  python-version: '3.10'
+                  cache: 'poetry'
+
+            - run: poetry install
+              shell: bash
+
+            - name: Run Mypy
+              shell: bash
+              run: |
+                  poetry run mypy ./nonebot_plugin_tetris_stats

.gitignore

@@ -19,3 +19,6 @@ package-lock.json
 bot.py
 TODO
 *.fish
+extracted_skin_mino_*
+sample_*
+TODO*

.pre-commit-config.yaml

@@ -0,0 +1,22 @@
+default_install_hook_types: [pre-commit, prepare-commit-msg]
+ci:
+    autofix_commit_msg: ':rotating_light: auto fix by pre-commit hooks'
+    autofix_prs: true
+    autoupdate_branch: main
+    autoupdate_schedule: weekly
+    autoupdate_commit_msg: ':arrow_up: auto update by pre-commit hooks'
+repos:
+    - repo: https://github.com/astral-sh/ruff-pre-commit
+      rev: v0.5.7
+      hooks:
+          - id: ruff
+            args: [--fix, --exit-non-zero-on-fix]
+            stages: [commit]
+          - id: ruff-format
+            stages: [commit]
+
+    - repo: https://github.com/nonebot/nonemoji
+      rev: v0.1.4
+      hooks:
+          - id: nonemoji
+            stages: [prepare-commit-msg]

README.md

@@ -87,3 +87,13 @@ pip install nonebot-plugin-tetris-stats
 ## 📝 开源
 
 本项目使用 [AGPL-3.0](https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats/blob/main/LICENSE) 许可证开源
+
+## 🤓☝ 给个 star 吧
+
+<a href="https://star-history.com/#A-Minos/nonebot-plugin-tetris-stats&Date">
+ <picture>
+   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=A-Minos/nonebot-plugin-tetris-stats&type=Date&theme=dark" />
+   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=A-Minos/nonebot-plugin-tetris-stats&type=Date" />
+   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=A-Minos/nonebot-plugin-tetris-stats&type=Date" />
+ </picture>
+</a>

nonebot_plugin_tetris_stats/__init__.py

@@ -1,25 +1,39 @@
 from nonebot import require
-from nonebot.plugin import PluginMetadata
+from nonebot.plugin import PluginMetadata, inherit_supported_adapters
 
-require('nonebot_plugin_alconna')
-require('nonebot_plugin_apscheduler')
-require('nonebot_plugin_localstore')
-require('nonebot_plugin_orm')
-require('nonebot_plugin_session')
-require('nonebot_plugin_session_orm')
+require_plugins = {
+    'nonebot_plugin_alconna',
+    'nonebot_plugin_apscheduler',
+    'nonebot_plugin_localstore',
+    'nonebot_plugin_orm',
+    'nonebot_plugin_session_orm',
+    'nonebot_plugin_session',
+    'nonebot_plugin_user',
+    'nonebot_plugin_userinfo',
+}
 
-from .config.config import migrations  # noqa: E402
+for i in require_plugins:
+    require(i)
+
+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
+from .config.config import Config  # 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',
+    config=Config,
+    supported_adapters=inherit_supported_adapters(*require_plugins),
     extra={
         'orm_version_location': migrations,
     },
 )
 
-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

@@ -1,14 +1,14 @@
-from pathlib import Path
+from nonebot_plugin_localstore import get_cache_dir, get_data_dir
+from pydantic import BaseModel, Field
 
-from nonebot_plugin_localstore import get_cache_dir  # type: ignore[import-untyped]
-from pydantic import BaseModel
+CACHE_PATH = get_cache_dir('nonebot_plugin_tetris_stats')
+DATA_PATH = get_data_dir('nonebot_plugin_tetris_stats')
 
-from . import migrations  # noqa: F401
 
-CACHE_PATH: Path = get_cache_dir('nonebot_plugin_tetris_stats')
+class ScopedConfig(BaseModel):
+    request_timeout: float = 30.0
+    screenshot_quality: float = 2
 
 
 class Config(BaseModel):
-    """配置类"""
-
-    tetris_req_timeout: float = 30.0
+    tetris: ScopedConfig = Field(default_factory=ScopedConfig)

nonebot_plugin_tetris_stats/config/migrations/8a91210ce14d_correct_the_data_in_historicaldata.py

@@ -46,7 +46,9 @@ def upgrade(name: str = '') -> None:  # noqa: C901
         TimeRemainingColumn,
     )
 
-    from nonebot_plugin_tetris_stats.game_data_processor.schemas import BaseProcessedData  # type: ignore[attr-defined]
+    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/9cd1647db502_merge_old_db.py

@@ -37,14 +37,10 @@ def migrate_old_data(connection: Connection) -> None:
     Bind = Base.classes.nonebot_plugin_tetris_stats_bind  # noqa: N806
 
     def non_empty(obj: str) -> bool:
-        if obj != '' and not obj.isspace():
-            return True
-        return False
+        return bool(obj != '' and not obj.isspace())
 
     def is_int(obj: int | str) -> bool:
-        if isinstance(obj, int) or obj.isdigit():
-            return True
-        return False
+        return bool(isinstance(obj, int) or obj.isdigit())
 
     bind_list = [
         Bind(chat_platform='OneBot V11', chat_account=int(row.QQ), game_platform='IO', game_account=row.USER)

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

@@ -46,7 +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/cfeab6961dce_extend_api_type_field_length.py

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

nonebot_plugin_tetris_stats/config/migrations/f5b4a6d1325b_tetr_io_new_season.py

@@ -0,0 +1,91 @@
+"""TETR.IO new season
+
+迁移 ID: f5b4a6d1325b
+父迁移: a1195e989cc6
+创建时间: 2024-08-01 20:44:48.644912
+
+"""
+
+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 = 'f5b4a6d1325b'
+down_revision: str | Sequence[str] | None = 'a1195e989cc6'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_iorank_file_hash')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_iorank_rank')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_iorank_update_time')
+
+    op.drop_table('nonebot_plugin_tetris_stats_iorank')
+
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_api_type')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_update_time')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_user_unique_identifier')
+
+    op.drop_table('nonebot_plugin_tetris_stats_tetriohistoricaldata')
+
+    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,
+        )
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    op.create_table(
+        'nonebot_plugin_tetris_stats_iorank',
+        sa.Column('id', sa.INTEGER(), nullable=False),
+        sa.Column('rank', sa.VARCHAR(length=2), nullable=False),
+        sa.Column('tr_line', sa.FLOAT(), nullable=False),
+        sa.Column('player_count', sa.INTEGER(), nullable=False),
+        sa.Column('low_pps', sa.JSON(), nullable=False),
+        sa.Column('low_apm', sa.JSON(), nullable=False),
+        sa.Column('low_vs', sa.JSON(), nullable=False),
+        sa.Column('avg_pps', sa.FLOAT(), nullable=False),
+        sa.Column('avg_apm', sa.FLOAT(), nullable=False),
+        sa.Column('avg_vs', sa.FLOAT(), nullable=False),
+        sa.Column('high_pps', sa.JSON(), nullable=False),
+        sa.Column('high_apm', sa.JSON(), nullable=False),
+        sa.Column('high_vs', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DATETIME(), nullable=False),
+        sa.Column('file_hash', sa.VARCHAR(length=128), nullable=True),
+        sa.PrimaryKeyConstraint('id', name='pk_nonebot_plugin_tetris_stats_iorank'),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_iorank_update_time', ['update_time'], unique=False)
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_iorank_rank', ['rank'], unique=False)
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_iorank_file_hash', ['file_hash'], unique=False)

nonebot_plugin_tetris_stats/db/__init__.py

@@ -8,17 +8,18 @@ from typing import TYPE_CHECKING, Literal, TypeVar, overload
 from nonebot.exception import FinishedException
 from nonebot.log import logger
 from nonebot_plugin_orm import AsyncSession, get_session
+from nonebot_plugin_user import User
 from sqlalchemy import select
 
-from ..utils.typing import CommandType, GameType
+from ..utils.typing import AllCommandType, BaseCommandType, GameType, TETRIOCommandType
 from .models import Bind, TriggerHistoricalData
 
 UTC = timezone.utc
 
 if TYPE_CHECKING:
-    from ..game_data_processor.io_data_processor.api.models import TETRIOHistoricalData
-    from ..game_data_processor.top_data_processor.api.models import TOPHistoricalData
-    from ..game_data_processor.tos_data_processor.api.models import TOSHistoricalData
+    from ..games.tetrio.api.models import TETRIOHistoricalData
+    from ..games.top.api.models import TOPHistoricalData
+    from ..games.tos.api.models import TOSHistoricalData
 
 
 class BindStatus(Enum):
@@ -28,37 +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,
         )
@@ -76,11 +68,11 @@ T = TypeVar('T', 'TETRIOHistoricalData', 'TOPHistoricalData', 'TOSHistoricalData
 lock = Lock()
 
 
-async def anti_duplicate_add(cls: type[T], model: T) -> None:
+async def anti_duplicate_add(model: T) -> None:
     async with lock, get_session() as session:
         result = (
             await session.scalars(
-                select(cls)
+                select(cls := model.__class__)
                 .where(cls.update_time == model.update_time)
                 .where(cls.user_unique_identifier == model.user_unique_identifier)
                 .where(cls.api_type == model.api_type)
@@ -100,7 +92,7 @@ async def anti_duplicate_add(cls: type[T], model: T) -> None:
 async def trigger(
     session_persist_id: int,
     game_platform: Literal['IO'],
-    command_type: CommandType | Literal['rank'],
+    command_type: TETRIOCommandType,
     command_args: list[str],
 ) -> AsyncGenerator:
     yield
@@ -111,7 +103,7 @@ async def trigger(
 async def trigger(
     session_persist_id: int,
     game_platform: GameType,
-    command_type: CommandType,
+    command_type: BaseCommandType,
     command_args: list[str],
 ) -> AsyncGenerator:
     yield
@@ -121,7 +113,7 @@ async def trigger(
 async def trigger(
     session_persist_id: int,
     game_platform: GameType,
-    command_type: CommandType | Literal['rank'],
+    command_type: AllCommandType,
     command_args: list[str],
 ) -> AsyncGenerator:
     trigger_time = datetime.now(UTC)

nonebot_plugin_tetris_stats/db/models.py

@@ -1,6 +1,6 @@
 from collections.abc import Callable, Sequence
 from datetime import datetime
-from typing import Any, Literal
+from typing import Any
 
 from nonebot.compat import PYDANTIC_V2, type_validate_json
 from nonebot_plugin_orm import Model
@@ -9,7 +9,7 @@ from sqlalchemy import JSON, DateTime, Dialect, String, TypeDecorator
 from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
 from typing_extensions import override
 
-from ..utils.typing import CommandType, GameType
+from ..utils.typing import AllCommandType, GameType
 
 
 class PydanticType(TypeDecorator):
@@ -66,8 +66,7 @@ class PydanticType(TypeDecorator):
 
 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]
 
@@ -77,6 +76,6 @@ class TriggerHistoricalData(MappedAsDataclass, Model):
     trigger_time: Mapped[datetime] = mapped_column(DateTime)
     session_persist_id: Mapped[int]
     game_platform: Mapped[GameType] = mapped_column(String(32), index=True)
-    command_type: Mapped[CommandType | Literal['rank']] = mapped_column(String(16), index=True)
+    command_type: Mapped[AllCommandType] = 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

@@ -1,44 +0,0 @@
-from typing import Any
-
-from nonebot.adapters import Bot
-from nonebot.exception import FinishedException
-from nonebot.matcher import Matcher
-from nonebot.message import run_postprocessor
-from nonebot_plugin_alconna import AlcMatches, AlconnaMatcher, At
-
-from ..utils.exception import MessageFormatError, NeedCatchError
-
-
-def add_default_handlers(matcher: type[AlconnaMatcher]) -> None:
-    @matcher.assign('query')
-    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')
-
-    @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()
-    def _(other: Any):  # noqa: ANN401, ARG001
-        raise FinishedException
-
-
-from . import (  # noqa: F401, E402
-    io_data_processor,
-    top_data_processor,
-    tos_data_processor,
-)
-
-
-@run_postprocessor
-async def _(matcher: Matcher, exception: NeedCatchError):
-    await matcher.send(str(exception))

nonebot_plugin_tetris_stats/game_data_processor/constant.py

@@ -1,3 +0,0 @@
-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/game_data_processor/io_data_processor/__init__.py

@@ -1,85 +0,0 @@
-from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
-from nonebot_plugin_alconna import At, on_alconna
-
-from ...utils.exception import MessageFormatError
-from ...utils.typing import Me
-from .. import add_default_handlers
-from ..constant import BIND_COMMAND, QUERY_COMMAND
-from .api import Player
-from .api.typing import Rank
-from .constant import USER_ID, USER_NAME
-
-
-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 = on_alconna(
-    Alconna(
-        'io',
-        Option(
-            BIND_COMMAND[0],
-            Args(
-                Arg(
-                    'account',
-                    get_player,
-                    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',
-                    get_player,
-                    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'], 'fuzzy': False, 'humanized': 'An Easter egg!'})
-
-from . import bind, query, rank  # noqa: F401, E402
-
-add_default_handlers(alc)

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/api/player.py

@@ -1,102 +0,0 @@
-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 UserRecords, UserRecordsSuccess
-
-
-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
-        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

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/api/schemas/base.py

@@ -1,20 +0,0 @@
-from datetime import datetime
-from typing import Literal
-
-from pydantic import BaseModel
-
-
-class Cache(BaseModel):
-    status: str
-    cached_at: datetime
-    cached_until: datetime
-
-
-class SuccessModel(BaseModel):
-    success: Literal[True]
-    cache: Cache
-
-
-class FailedModel(BaseModel):
-    success: Literal[False]
-    error: str

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/api/schemas/user_records.py

@@ -1,122 +0,0 @@
-from datetime import datetime
-
-from pydantic import BaseModel, Field
-
-from .....utils.typing import Number
-from .base import FailedModel
-from .base import SuccessModel as BaseSuccessModel
-
-
-class Time(BaseModel):
-    start: int
-    zero: bool
-    locked: bool
-    prev: int
-    frameoffset: int | None = None
-
-
-class Clears(BaseModel):
-    singles: int
-    doubles: int
-    triples: int
-    quads: int
-    pentas: int | None = None
-    realtspins: int
-    minitspins: int
-    minitspinsingles: int
-    tspinsingles: int
-    minitspindoubles: int
-    tspindoubles: int
-    tspintriples: int
-    tspinquads: int
-    allclear: int
-
-
-class Garbage(BaseModel):
-    sent: int
-    received: int
-    attack: int | None = None
-    cleared: int
-
-
-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
-    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/game_data_processor/io_data_processor/api/typing.py

@@ -1,22 +0,0 @@
-from typing import Literal
-
-Rank = Literal[
-    'x',
-    'u',
-    'ss',
-    's+',
-    's',
-    's-',
-    'a+',
-    'a',
-    'a-',
-    'b+',
-    'b',
-    'b-',
-    'c+',
-    'c',
-    'c-',
-    'd+',
-    'd',
-    'z',  # 未定级
-]

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/model.py

@@ -1,28 +0,0 @@
-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 .api.typing import Rank
-
-
-class IORank(MappedAsDataclass, Model):
-    id: Mapped[int] = mapped_column(init=False, primary_key=True)
-    rank: Mapped[Rank] = mapped_column(String(2), index=True)
-    tr_line: Mapped[float]
-    player_count: Mapped[int]
-    low_pps: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    low_apm: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    low_vs: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    avg_pps: Mapped[float]
-    avg_apm: Mapped[float]
-    avg_vs: Mapped[float]
-    high_pps: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    high_apm: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    high_vs: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    update_time: Mapped[datetime] = mapped_column(
-        DateTime,
-        index=True,
-    )
-    file_hash: Mapped[str | None] = mapped_column(String(128), index=True)

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/query.py

@@ -1,296 +0,0 @@
-import contextlib
-from asyncio import gather
-from datetime import datetime, timedelta, timezone
-from hashlib import md5
-from math import ceil, floor
-from urllib.parse import urlunparse
-from zoneinfo import ZoneInfo
-
-from nonebot.adapters import Bot, 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 sqlalchemy import select
-
-from ...db import query_bind_info, trigger
-from ...utils.host import HostPage, get_self_netloc
-from ...utils.platform import get_platform
-from ...utils.render import TETRIOInfo, render
-from ...utils.render.schemas.base import Avatar
-from ...utils.render.schemas.tetrio_info import Data, Radar, Ranking, TetraLeague, TetraLeagueHistory
-from ...utils.render.schemas.tetrio_info import User as TemplateUser
-from ...utils.screenshot import screenshot
-from ...utils.typing import Me
-from ..constant import CANT_VERIFY_MESSAGE
-from . import alc
-from .api import Player, User, UserInfoSuccess
-from .api.models import TETRIOHistoricalData
-from .api.schemas.user_info import NeverPlayedLeague, NeverRatedLeague, RatedLeague
-from .api.schemas.user_records import SoloModeRecord, SoloRecord
-from .constant import GAME_TYPE, TR_MAX, TR_MIN
-
-UTC = timezone.utc
-
-
-@alc.assign('query')
-async def _(bot: Bot, 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,
-                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 = UniMessage(CANT_VERIFY_MESSAGE)
-        player = Player(user_id=bind.game_account, trust=True)
-        user, user_info, user_records = await gather(player.user, player.get_info(), player.get_records())
-        sprint = user_records.data.records.sprint
-        blitz = user_records.data.records.blitz
-        with contextlib.suppress(TypeError):
-            message += UniMessage.image(raw=await make_query_image(user, user_info, sprint.record, blitz.record))
-            await message.finish()
-        message += make_query_text(user_info, sprint, blitz)
-        await message.finish()
-
-
-@alc.assign('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=[],
-    ):
-        user, user_info, user_records = await gather(account.user, account.get_info(), account.get_records())
-        sprint = user_records.data.records.sprint
-        blitz = user_records.data.records.blitz
-        with contextlib.suppress(TypeError):
-            await UniMessage.image(raw=await make_query_image(user, user_info, sprint.record, blitz.record)).finish()
-        await make_query_text(user_info, sprint, blitz).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)
-    if not historical_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)
-    ]
-
-    # 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],
-                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
-
-
-async def make_query_image(
-    user: User, user_info: UserInfoSuccess, 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 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=TemplateUser(
-                    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 Avatar(
-                        type='identicon',
-                        hash=md5(user_info.data.user.id.encode()).hexdigest(),  # noqa: S324
-                    ),
-                    name=user_name,
-                    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(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
-
-
-def make_query_text(user_info: UserInfoSuccess, sprint: SoloModeRecord, blitz: SoloModeRecord) -> UniMessage:
-    league = user_info.data.user.league
-    user_name = user_info.data.user.username.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:'
-        lpm = league.pps * 24
-        message += f"\nL'PM: {round(lpm, 2)} ( {league.pps} pps )"
-        message += f'\nAPM: {league.apm} ( x{round(league.apm/lpm,2)} )'
-        if league.vs is not None:
-            adpm = league.vs * 0.6
-            message += f'\nADPM: {round(adpm,2)} ( x{round(adpm/lpm,2)} ) ( {league.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)

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/rank.py

@@ -1,174 +0,0 @@
-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 .model import IORank
-
-UTC = timezone.utc
-
-driver = get_driver()
-
-
-@alc.assign('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/game_data_processor/schemas.py

@@ -1,23 +0,0 @@
-from abc import ABC, abstractmethod
-
-from pydantic import BaseModel
-
-from ..utils.typing import GameType
-
-
-class Base(BaseModel):
-    platform: GameType
-
-
-class BaseUser(ABC, Base):
-    """游戏用户"""
-
-    def __eq__(self, __value: object) -> bool:
-        if isinstance(__value, BaseUser):
-            return self.unique_identifier == __value.unique_identifier
-        return False
-
-    @property
-    @abstractmethod
-    def unique_identifier(self) -> str:
-        raise NotImplementedError

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/query.py

@@ -1,73 +0,0 @@
-from nonebot.adapters import Bot, 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 ...db import query_bind_info, trigger
-from ...utils.metrics import get_metrics
-from ...utils.platform import get_platform
-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('query')
-async def _(bot: Bot, 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,
-                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 = CANT_VERIFY_MESSAGE
-        await (message + make_query_text(await Player(user_name=bind.game_account, trust=True).get_profile())).finish()
-
-
-@alc.assign('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/game_data_processor/tos_data_processor/query.py

@@ -1,170 +0,0 @@
-from asyncio import gather
-from dataclasses import dataclass
-from typing import Literal
-
-from nonebot.adapters import Bot, 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 ...db import query_bind_info, trigger
-from ...utils.metrics import TetrisMetricsProWithLPMADPM, get_metrics
-from ...utils.platform import get_platform
-from ...utils.typing import Me
-from ..constant import CANT_VERIFY_MESSAGE
-from . import alc
-from .api import Player
-from .constant import GAME_TYPE
-
-
-def add_special_handlers(
-    teaid_prefix: Literal['onebot-', 'kook-', 'discord-', 'qqguild-'], match_event: type[Event]
-) -> None:
-    @alc.assign('query')
-    async def _(event: Event, target: At | Me, event_session: EventSession):
-        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=[],
-            ):
-                await (
-                    await make_query_text(
-                        Player(
-                            teaid=f'{teaid_prefix}{target.target}'
-                            if isinstance(target, At)
-                            else f'{teaid_prefix}{event.get_user_id()}',
-                            trust=True,
-                        )
-                    )
-                ).finish()
-
-
-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('query')
-async def _(bot: Bot, 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,
-                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 = CANT_VERIFY_MESSAGE
-        await (message + await make_query_text(Player(teaid=bind.game_account, trust=True))).finish()
-
-
-@alc.assign('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 (await make_query_text(account)).finish()
-
-
-@dataclass
-class GameData:
-    game_num: int
-    metrics: TetrisMetricsProWithLPMADPM
-
-
-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
-    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 >= 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
-    )
-    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)
-
-
-async def make_query_text(player: Player) -> UniMessage:
-    user_info, game_data = await gather(player.get_info(), get_game_data(player))
-    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/games/__init__.py

@@ -0,0 +1,55 @@
+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
+
+command: 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,
+    ),
+)
+
+alc = on_alconna(
+    command=command,
+    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

@@ -0,0 +1 @@
+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

@@ -0,0 +1,24 @@
+from abc import ABC, abstractmethod
+from typing import Generic, TypeVar
+
+from pydantic import BaseModel
+
+from ..utils.typing import GameType
+
+T = TypeVar('T', bound=GameType)
+
+
+class BaseUser(BaseModel, ABC, Generic[T]):
+    """游戏用户"""
+
+    platform: T
+
+    def __eq__(self, other: object) -> bool:
+        if isinstance(other, BaseUser):
+            return self.unique_identifier == other.unique_identifier
+        return False
+
+    @property
+    @abstractmethod
+    def unique_identifier(self) -> str:
+        raise NotImplementedError

nonebot_plugin_tetris_stats/games/tetrio/__init__.py

@@ -0,0 +1,36 @@
+from nonebot_plugin_alconna import Subcommand
+
+from ...utils.exception import MessageFormatError
+from .. import alc
+from .. import command as main_command
+from .api import Player
+from .constant import USER_ID, USER_NAME
+
+
+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')
+
+
+command = Subcommand(
+    'TETR.IO',
+    alias=['TETRIO', 'tetr.io', 'tetrio', 'io'],
+    dest='TETRIO',
+    help_text='TETR.IO 游戏相关指令',
+)
+
+
+from . import bind, config, query, record  # noqa: E402
+
+main_command.add(command)
+
+__all__ = [
+    'alc',
+    'bind',
+    'config',
+    'query',
+    'record',
+]

nonebot_plugin_tetris_stats/games/tetrio/api/__init__.py

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

nonebot_plugin_tetris_stats/games/tetrio/api/models.py

@@ -7,11 +7,12 @@ from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
 
 from ....db.models import PydanticType
 from .schemas.base import SuccessModel
+from .typing import Records, Summaries
 
 
 class TETRIOHistoricalData(MappedAsDataclass, Model):
     id: Mapped[int] = mapped_column(init=False, primary_key=True)
     user_unique_identifier: Mapped[str] = mapped_column(String(24), index=True)
-    api_type: Mapped[Literal['User Info', 'User Records']] = mapped_column(String(16), index=True)
+    api_type: Mapped[Literal['User Info', Records, Summaries]] = mapped_column(String(32), index=True)
     data: Mapped[SuccessModel] = mapped_column(PydanticType(get_model=[SuccessModel.__subclasses__], models=set()))
     update_time: Mapped[datetime] = mapped_column(DateTime, index=True)

nonebot_plugin_tetris_stats/games/tetrio/api/player.py

@@ -0,0 +1,244 @@
+from enum import Enum
+from types import MappingProxyType
+from typing import Literal, NamedTuple, cast, overload
+
+from async_lru import alru_cache
+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.records.solo import Solo as SoloRecord
+from .schemas.records.solo import SoloSuccessModel as RecordsSoloSuccessModel
+from .schemas.summaries import (
+    AchievementsSuccessModel,
+    SummariesModel,
+    ZenithSuccessModel,
+    ZenSuccessModel,
+)
+from .schemas.summaries import (
+    SoloSuccessModel as SummariesSoloSuccessModel,
+)
+from .schemas.summaries.base import User as SummariesUser
+from .schemas.summaries.league import LeagueSuccessModel
+from .schemas.user import User
+from .schemas.user_info import UserInfo, UserInfoSuccess
+from .typing import Records, Summaries
+
+
+class RecordModeType(str, Enum):
+    Sprint = '40l'
+    Blitz = 'blitz'
+
+
+class RecordType(str, Enum):
+    Top = 'top'
+    Recent = 'recent'
+    Progression = 'progression'
+
+
+class RecordKey(NamedTuple):
+    mode_type: RecordModeType
+    record_type: RecordType
+
+    def to_records(self) -> Records:
+        return cast(Records, f'{self.mode_type.value}_{self.record_type.value}')
+
+
+class Player:
+    __SUMMARIES_MAPPING: MappingProxyType[Summaries, type[SummariesModel]] = MappingProxyType(
+        {
+            '40l': SummariesSoloSuccessModel,
+            'blitz': SummariesSoloSuccessModel,
+            'zenith': ZenithSuccessModel,
+            'zenithex': ZenithSuccessModel,
+            'league': LeagueSuccessModel,
+            'zen': ZenSuccessModel,
+            'achievements': AchievementsSuccessModel,
+        }
+    )
+
+    @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._summaries: dict[Summaries, SummariesModel] = {}
+        self._records: dict[RecordKey, RecordsSoloSuccessModel] = {}
+
+    @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 not None:
+            return self.__user
+        if (user := (await self._get_local_summaries_user())) is not None:
+            self.__user = User(
+                ID=user.id,
+                name=user.username,
+            )
+        else:
+            user_info = await self.get_info()
+            self.__user = User(
+                ID=user_info.data.id,
+                name=user_info.data.username,
+            )
+        self.user_id = self.__user.ID
+        self.user_name = self.__user.name
+        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(
+                    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
+
+    @overload
+    async def get_summaries(self, summaries_type: Literal['40l', 'blitz']) -> SummariesSoloSuccessModel: ...
+    @overload
+    async def get_summaries(self, summaries_type: Literal['zenith', 'zenithex']) -> ZenithSuccessModel: ...
+    @overload
+    async def get_summaries(self, summaries_type: Literal['zen']) -> ZenSuccessModel: ...
+    @overload
+    async def get_summaries(self, summaries_type: Literal['league']) -> LeagueSuccessModel: ...
+    @overload
+    async def get_summaries(self, summaries_type: Literal['achievements']) -> AchievementsSuccessModel: ...
+
+    async def get_summaries(self, summaries_type: Summaries) -> SummariesModel:
+        if summaries_type not in self._summaries:
+            raw_summaries = await Cache.get(
+                splice_url([BASE_URL, 'users/', f'{self._request_user_parameter}/', 'summaries/', summaries_type])
+            )
+            summaries: SummariesModel | FailedModel = type_validate_json(
+                self.__SUMMARIES_MAPPING[summaries_type] | FailedModel,  # type: ignore[arg-type]
+                raw_summaries,
+            )
+            if isinstance(summaries, FailedModel):
+                msg = f'用户Summaries数据请求错误:\n{summaries.error}'
+                raise RequestError(msg)
+            self._summaries[summaries_type] = summaries
+            await anti_duplicate_add(
+                TETRIOHistoricalData(
+                    user_unique_identifier=(await self.user).unique_identifier,
+                    api_type=summaries_type,
+                    data=summaries,
+                    update_time=summaries.cache.cached_at,
+                ),
+            )
+        return self._summaries[summaries_type]
+
+    @property
+    async def sprint(self) -> SummariesSoloSuccessModel:
+        return await self.get_summaries('40l')
+
+    @property
+    async def blitz(self) -> SummariesSoloSuccessModel:
+        return await self.get_summaries('blitz')
+
+    @property
+    async def zen(self) -> ZenSuccessModel:
+        return await self.get_summaries('zen')
+
+    @property
+    async def league(self) -> LeagueSuccessModel:
+        return await self.get_summaries('league')
+
+    async def _get_local_summaries_user(self) -> SummariesUser | None:
+        allow_summaries: set[Literal['40l', 'blitz', 'zenith', 'zenithex']] = {
+            '40l',
+            'blitz',
+            'zenith',
+            'zenithex',
+        }
+        if has_summaries := (allow_summaries & self._summaries.keys()):
+            for i in has_summaries:
+                if (record := (await self.get_summaries(i)).data.record) is not None:
+                    return record.user
+        return None
+
+    @property
+    @alru_cache
+    async def avatar_revision(self) -> int | None:
+        if self._user_info is not None:
+            return self._user_info.data.avatar_revision
+        if (user := (await self._get_local_summaries_user())) is not None:
+            return user.avatar_revision
+        return (await self.get_info()).data.avatar_revision
+
+    @property
+    @alru_cache
+    async def banner_revision(self) -> int | None:
+        if self._user_info is not None:
+            return self._user_info.data.banner_revision
+        if (user := (await self._get_local_summaries_user())) is not None:
+            return user.banner_revision
+        return (await self.get_info()).data.banner_revision
+
+    async def get_records(self, mode_type: RecordModeType, records_type: RecordType) -> RecordsSoloSuccessModel:
+        if (record_key := RecordKey(mode_type, records_type)) not in self._records:
+            raw_records = await Cache.get(
+                splice_url(
+                    [
+                        BASE_URL,
+                        'users/',
+                        f'{self._request_user_parameter}/',
+                        'records/',
+                        f'{mode_type}/',
+                        records_type,
+                    ]
+                )
+            )
+            records: RecordsSoloSuccessModel | FailedModel = type_validate_json(SoloRecord, raw_records)  # type: ignore[arg-type]
+            if isinstance(records, FailedModel):
+                msg = f'用户Summaries数据请求错误:\n{records.error}'
+                raise RequestError(msg)
+            self._records[record_key] = records
+            await anti_duplicate_add(
+                TETRIOHistoricalData(
+                    user_unique_identifier=(await self.user).unique_identifier,
+                    api_type=record_key.to_records(),
+                    data=records,
+                    update_time=records.cache.cached_at,
+                ),
+            )
+        return self._records[record_key]

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

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

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

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

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/leaderboards/ar.py

@@ -0,0 +1,27 @@
+from pydantic import BaseModel, Field
+
+from ..base import SuccessModel
+from .base import Entry as BaseEntry
+
+
+class ArCounts(BaseModel):
+    bronze: int | None = Field(None, alias='1')
+    silver: int | None = Field(None, alias='2')
+    gold: int | None = Field(None, alias='3')
+    platinum: int | None = Field(None, alias='4')
+    diamond: int | None = Field(None, alias='5')
+    issued: int | None = Field(None, alias='100')
+    top10: int | None = Field(None, alias='t10')
+
+
+class Entry(BaseEntry):
+    ar: int
+    ar_counts: ArCounts
+
+
+class Data(BaseModel):
+    entries: list[Entry]
+
+
+class ArSuccessModel(SuccessModel):
+    data: Data

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

@@ -0,0 +1,30 @@
+from datetime import datetime
+
+from pydantic import BaseModel, Field
+
+from ...typing import Rank
+from ..base import P
+
+
+class League(BaseModel):
+    gamesplayed: int
+    gameswon: int
+    rating: int
+    rank: Rank
+    decaying: bool
+
+
+class Entry(BaseModel):
+    id: str = Field(..., alias='_id')
+    username: str
+    role: str
+    xp: float
+    league: League
+    supporter: bool | None = None
+    verified: bool
+    country: str | None = None
+    ts: datetime
+    gamesplayed: int
+    gameswon: int
+    gametime: float
+    p: P

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

@@ -0,0 +1,12 @@
+from pydantic import BaseModel
+
+from ..base import SuccessModel
+from ..summaries.solo import Record
+
+
+class Data(BaseModel):
+    entries: list[Record]
+
+
+class SoloSuccessModel(SuccessModel):
+    data: Data

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/leaderboards/xp.py

@@ -0,0 +1,12 @@
+from pydantic import BaseModel
+
+from ..base import SuccessModel
+from .base import Entry
+
+
+class Data(BaseModel):
+    entries: list[Entry]
+
+
+class XpSuccessModel(SuccessModel):
+    data: Data

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

@@ -0,0 +1,12 @@
+from pydantic import BaseModel
+
+from ..base import SuccessModel
+from ..summaries.zenith import Record
+
+
+class Data(BaseModel):
+    entries: list[Record]
+
+
+class ZenithSuccessModel(SuccessModel):
+    data: Data

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

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

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

@@ -0,0 +1,21 @@
+from .achievements import Achievements, AchievementsSuccessModel
+from .league import LeagueSuccessModel
+from .solo import Solo, SoloSuccessModel
+from .zen import Zen, ZenSuccessModel
+from .zenith import Zenith, ZenithEx, ZenithSuccessModel
+
+SummariesModel = AchievementsSuccessModel | SoloSuccessModel | ZenSuccessModel | LeagueSuccessModel | ZenithSuccessModel
+
+__all__ = [
+    'Achievements',
+    'AchievementsSuccessModel',
+    'LeagueSuccessModel',
+    'Solo',
+    'SoloSuccessModel',
+    'SummariesModel',
+    'Zen',
+    'Zenith',
+    'ZenithEx',
+    'ZenithSuccessModel',
+    'ZenSuccessModel',
+]

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

@@ -0,0 +1,29 @@
+from typing import TypeAlias
+
+from pydantic import BaseModel
+
+from ..base import FailedModel, SuccessModel
+
+
+class Achievement(BaseModel):
+    # 这**都是些啥
+    k: int
+    o: int
+    rt: int
+    vt: int
+    min: int
+    deci: int
+    name: str
+    object: str
+    category: str
+    hidden: bool
+    desc: str
+    n: str
+    stub: bool
+
+
+class AchievementsSuccessModel(SuccessModel):
+    data: list[Achievement]
+
+
+Achievements: TypeAlias = AchievementsSuccessModel | FailedModel

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

@@ -0,0 +1,11 @@
+from pydantic import BaseModel
+
+
+class User(BaseModel):
+    id: str
+    username: str
+    avatar_revision: int | None
+    banner_revision: int | None
+    country: str | None
+    verified: int | None = None
+    supporter: int

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

@@ -0,0 +1,24 @@
+from typing import TypeAlias
+
+from pydantic import BaseModel
+
+from ..base import FailedModel, SuccessModel
+from ..base.solo import Record as BaseRecord
+from .base import User
+
+
+class Record(BaseRecord):
+    user: User
+
+
+class Data(BaseModel):
+    record: Record | None
+    rank: int
+    rank_local: int
+
+
+class SoloSuccessModel(SuccessModel):
+    data: Data
+
+
+Solo: TypeAlias = SoloSuccessModel | FailedModel

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

@@ -0,0 +1,17 @@
+from typing import TypeAlias
+
+from pydantic import BaseModel
+
+from ..base import FailedModel, SuccessModel
+
+
+class Data(BaseModel):
+    level: int
+    score: int
+
+
+class ZenSuccessModel(SuccessModel):
+    data: Data
+
+
+Zen: TypeAlias = ZenSuccessModel | FailedModel

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

@@ -0,0 +1,116 @@
+from datetime import datetime
+from typing import Literal, TypeAlias
+
+from pydantic import BaseModel, Field
+
+from ..base import AggregateStats, FailedModel, Finesse, P, SuccessModel
+from ..base import Clears as BaseClears
+from ..base import Garbage as BaseGarbage
+from .base import User
+
+
+class Clears(BaseClears):
+    pentas: int
+    minitspintriples: int
+    minitspinquads: int
+    tspinpentas: int
+
+
+class Garbage(BaseGarbage):
+    sent_nomult: int
+    maxspike: int
+    maxspike_nomult: int
+
+
+class _Zenith(BaseModel):
+    altitude: float
+    rank: float
+    peakrank: float
+    avgrankpts: float
+    floor: int
+    targetingfactor: float
+    targetinggrace: float
+    totalbonus: float
+    revives: int
+    revives_total: int = Field(..., alias='revivesTotal')
+    speedrun: bool
+    speedrun_seen: bool
+    splits: list[int]
+
+
+class Stats(BaseModel):
+    lines: int
+    level_lines: int
+    level_lines_needed: int
+    inputs: int
+    holds: int
+    score: int
+    zenlevel: int
+    zenprogress: int
+    level: int
+    combo: int
+    topcombo: int
+    combopower: int
+    btb: int
+    topbtb: int
+    btbpower: int
+    tspins: int
+    piecesplaced: int
+    clears: Clears
+    garbage: Garbage
+    kills: int
+    finesse: Finesse
+    zenith: _Zenith
+    finaltime: float
+
+
+class Results(BaseModel):
+    aggregatestats: AggregateStats
+    stats: Stats
+    gameoverreason: str
+
+
+class ExtrasZenith(BaseModel):
+    mods: list[str]
+
+
+class Extras(BaseModel):
+    zenith: ExtrasZenith
+
+
+class Record(BaseModel):
+    id: str = Field(..., alias='_id')
+    replayid: str
+    stub: bool
+    gamemode: Literal['zenith', 'zenithex']
+    pb: bool
+    oncepb: bool
+    ts: datetime
+    revolution: None
+    user: User
+    otherusers: list
+    leaderboards: list[str]
+    results: Results
+    extras: Extras
+    disputed: bool
+    p: P
+
+
+class Best(BaseModel):
+    record: None  # WTF
+    rank: int
+
+
+class Data(BaseModel):
+    record: Record | None
+    rank: int
+    rank_local: int
+    best: Best
+
+
+class ZenithSuccessModel(SuccessModel):
+    data: Data
+
+
+Zenith: TypeAlias = ZenithSuccessModel | FailedModel
+ZenithEx: TypeAlias = ZenithSuccessModel | FailedModel

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

@@ -10,7 +10,7 @@ class _User(BaseModel):
     username: str
     role: str
     xp: float
-    supporter: bool
+    supporter: bool | None = None
     verified: bool
     country: str | None = None
 

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

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

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

@@ -3,7 +3,6 @@ from typing import Literal
 
 from pydantic import BaseModel, Field
 
-from ..typing import Rank
 from .base import FailedModel
 from .base import SuccessModel as BaseSuccessModel
 
@@ -15,67 +14,6 @@ class Badge(BaseModel):
     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
@@ -89,7 +27,7 @@ class Distinguishment(BaseModel):
     type: str
 
 
-class User(BaseModel):
+class Data(BaseModel):
     id: str = Field(..., alias='_id')
     username: str
     role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'banned']
@@ -104,8 +42,7 @@ class User(BaseModel):
     badstanding: bool | None = None
     supporter: bool | None = None  # osk说是必有, 但实际上不是 fkosk
     supporter_tier: int
-    verified: bool
-    league: NeverPlayedLeague | NeverRatedLeague | RatedLeague
+    verified: bool | None = None
     avatar_revision: int | None = None
     """This user's avatar ID. Get their avatar at
 
@@ -122,10 +59,6 @@ class User(BaseModel):
     distinguishment: Distinguishment | None = None
 
 
-class Data(BaseModel):
-    user: User
-
-
 class UserInfoSuccess(BaseSuccessModel):
     data: Data
 

nonebot_plugin_tetris_stats/games/tetrio/api/tetra_league.py

@@ -1,4 +1,5 @@
-from typing import Literal, NamedTuple, overload
+from typing import Literal, NamedTuple, TypedDict, overload
+from urllib.parse import urlencode
 
 from nonebot.compat import type_validate_json
 
@@ -10,6 +11,24 @@ from .schemas.base import FailedModel
 from .schemas.tetra_league import TetraLeague, TetraLeagueSuccess
 
 
+class Parameter(TypedDict, total=False):
+    after: float
+    before: float
+    limit: int
+    country: str
+
+
+async def leaderboard(parameter: Parameter | None = None) -> TetraLeagueSuccess:
+    league: TetraLeague = type_validate_json(
+        TetraLeague,  # type: ignore[arg-type]
+        (await Cache.get(splice_url([BASE_URL, 'users/lists/league', f'?{urlencode(parameter or {})}']))),
+    )
+    if isinstance(league, FailedModel):
+        msg = f'排行榜数据请求错误:\n{league.error}'
+        raise RequestError(msg)
+    return league
+
+
 class FullExport(NamedTuple):
     model: TetraLeagueSuccess
     original: bytes

nonebot_plugin_tetris_stats/games/tetrio/api/typing.py

@@ -0,0 +1,45 @@
+from typing import Literal
+
+S1ValidRank = Literal[
+    'x+',
+    'x',
+    'u',
+    'ss',
+    's+',
+    's',
+    's-',
+    'a+',
+    'a',
+    'a-',
+    'b+',
+    'b',
+    'b-',
+    'c+',
+    'c',
+    'c-',
+    'd+',
+    'd',
+]
+S1Rank = S1ValidRank | Literal['z']
+
+ValidRank = Literal['x+'] | S1ValidRank
+Rank = ValidRank | Literal['z']  # 未定级
+
+Summaries = Literal[
+    '40l',
+    'blitz',
+    'zenith',
+    'zenithex',
+    'league',
+    'zen',
+    'achievements',
+]
+
+Records = Literal[
+    '40l_top',
+    '40l_recent',
+    '40l_progression',
+    'blitz_top',
+    'blitz_recent',
+    'blitz_progression',
+]

nonebot_plugin_tetris_stats/games/tetrio/bind.py

@@ -1,27 +1,49 @@
 from hashlib import md5
-from urllib.parse import urlunparse
+from urllib.parse import urlencode
 
-from nonebot.adapters import Bot, Event
+from arclet.alconna import Arg, ArgFlag
+from nonebot_plugin_alconna import Args, Subcommand
 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 import EventSession
 from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
-from nonebot_plugin_userinfo import BotUserInfo, UserInfo  # type: ignore[import-untyped]
+from nonebot_plugin_user import User
+from nonebot_plugin_userinfo import BotUserInfo, UserInfo
 
 from ...db import BindStatus, create_or_update_bind, trigger
-from ...utils.avatar import get_avatar
 from ...utils.host import HostPage, get_self_netloc
-from ...utils.platform import get_platform
+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 . import alc, command, get_player
 from .api import Player
 from .constant import GAME_TYPE
 
+command.add(
+    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',
+    )
+)
 
-@alc.assign('bind')
-async def _(bot: Bot, event: Event, account: Player, event_session: EventSession, bot_info: UserInfo = BotUserInfo()):  # noqa: B008
+alc.shortcut(
+    '(?i:io)(?i:绑定|绑|bind)',
+    command='tstats TETR.IO bind',
+    humanized='io绑定',
+)
+
+
+@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,
@@ -32,24 +54,23 @@ async def _(bot: Bot, event: Event, account: Player, event_session: EventSession
         async with get_session() as session:
             bind_status = await create_or_update_bind(
                 session=session,
-                chat_platform=get_platform(bot),
-                chat_account=event.get_user_id(),
+                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):
+            netloc = get_self_netloc()
             async with HostPage(
                 await render(
-                    'binding',
+                    'v1/binding',
                     Bind(
                         platform='TETR.IO',
                         status='unknown',
                         user=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 Avatar(type='identicon', hash=md5(user_info.data.user.id.encode()).hexdigest()),  # noqa: S324
-                            name=user_info.data.user.username.upper(),
+                            avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": avatar_revision})}'
+                            if (avatar_revision := (await account.avatar_revision)) is not None and avatar_revision != 0
+                            else Avatar(type='identicon', hash=md5(user.ID.encode()).hexdigest()),  # noqa: S324
+                            name=user.name.upper(),
                         ),
                         bot=People(
                             avatar=await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg'),
@@ -59,6 +80,4 @@ async def _(bot: Bot, event: Event, account: Player, event_session: EventSession
                     ),
                 )
             ) as page_hash:
-                await UniMessage.image(
-                    raw=await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
-                ).finish()
+                await UniMessage.image(raw=await screenshot(f'http://{netloc}/host/{page_hash}.html')).finish()

nonebot_plugin_tetris_stats/games/tetrio/config.py

@@ -0,0 +1,51 @@
+from arclet.alconna import Arg
+from nonebot_plugin_alconna import Option, Subcommand
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import async_scoped_session
+from nonebot_plugin_session import EventSession
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import User
+from sqlalchemy import select
+
+from ...db import trigger
+from . import alc, command
+from .constant import GAME_TYPE
+from .models import TETRIOUserConfig
+from .typing import Template
+
+command.add(
+    Subcommand(
+        'config',
+        Option(
+            '--default-template',
+            Arg('template', Template, notice='模板版本'),
+            alias=['-DT', 'DefaultTemplate'],
+            help_text='设置默认查询模板',
+        ),
+        help_text='TETR.IO 查询个性化配置',
+    ),
+)
+
+alc.shortcut(
+    '(?i:io)(?i:配置|配|config)',
+    command='tstats TETR.IO config',
+    humanized='io配置',
+)
+
+
+@alc.assign('TETRIO.config')
+async def _(user: User, session: async_scoped_session, event_session: EventSession, template: Template):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='config',
+        command_args=[f'--default-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

@@ -1,13 +1,13 @@
 from re import compile
 from typing import Literal
 
-from .api.typing import Rank
+from .api.typing import ValidRank
 
 GAME_TYPE: Literal['IO'] = 'IO'
 
 BASE_URL = 'https://ch.tetr.io/api/'
 
-RANK_PERCENTILE: dict[Rank, float] = {
+RANK_PERCENTILE: dict[ValidRank, float] = {
     'x': 1,
     'u': 5,
     'ss': 11,

nonebot_plugin_tetris_stats/games/tetrio/models.py

@@ -0,0 +1,10 @@
+from nonebot_plugin_orm import Model
+from sqlalchemy import String
+from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
+
+from .typing import Template
+
+
+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 +1,269 @@
+from asyncio import gather
+from datetime import datetime, timedelta, timezone
+from hashlib import md5
+from typing import TYPE_CHECKING, TypeVar
+from urllib.parse import urlencode
+
+from arclet.alconna import Arg, ArgFlag
+from nonebot import get_driver
+from nonebot.adapters import Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import Args, At, Option, Subcommand
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import User as NBUser
+from nonebot_plugin_user import get_user
+from sqlalchemy import select
+
+from ...db import query_bind_info, trigger
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.metrics import get_metrics
+from ...utils.render import render
+from ...utils.render.schemas.base import Avatar
+from ...utils.render.schemas.tetrio.user.info_v2 import (
+    Badge,
+    Blitz,
+    Sprint,
+    Statistic,
+    TetraLeague,
+    TetraLeagueStatistic,
+    Zen,
+)
+from ...utils.render.schemas.tetrio.user.info_v2 import Info as V2TemplateInfo
+from ...utils.render.schemas.tetrio.user.info_v2 import User as V2TemplateUser
+from ...utils.screenshot import screenshot
+from ...utils.typing import Me
+from .. import add_block_handlers, alc
+from ..constant import CANT_VERIFY_MESSAGE
+from . import command, get_player
+from .api import Player
+from .constant import GAME_TYPE
+from .models import TETRIOUserConfig
+from .typing import Template
+
+if TYPE_CHECKING:
+    from .api.schemas.summaries import SoloSuccessModel, ZenSuccessModel
+    from .api.schemas.summaries.league import LeagueSuccessModel
+    from .api.schemas.user import User
+    from .api.schemas.user_info import UserInfoSuccess
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+command.add(
+    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',
+    ),
+)
+
+alc.shortcut(
+    '(?i:io)(?i:查询|查|query|stats)',
+    command='tstats TETR.IO query',
+    humanized='io查',
+)
+alc.shortcut(
+    'fkosk',
+    command='tstats TETR.IO query',
+    arguments=['我'],
+    fuzzy=False,
+    humanized='An Easter egg!',
+)
+
+add_block_handlers(alc.assign('TETRIO.query'))
+
+
+@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=[f'--default-template {template}'] if template is not None else [],
+    ):
+        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 + UniMessage.image(raw=await make_query_image_v2(player))).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=[f'--default-template {template}'] if template is not None else [],
+    ):
+        async with get_session() as session:
+            if template is None:
+                template = await session.scalar(
+                    select(TETRIOUserConfig.query_template).where(TETRIOUserConfig.id == user.id)
+                )
+        await (UniMessage.image(raw=await make_query_image_v2(account))).finish()
+
+
+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
+    user_info: UserInfoSuccess
+    league: LeagueSuccessModel
+    sprint: SoloSuccessModel
+    blitz: SoloSuccessModel
+    zen: ZenSuccessModel
+    avatar_revision: int | None
+    banner_revision: int | None
+    # TODO)) 有没有什么办法能让这类型推导成功)
+    user, user_info, league, sprint, blitz, zen, avatar_revision, banner_revision = await gather(  # type: ignore[assignment]
+        player.user,
+        player.get_info(),
+        player.league,
+        player.sprint,
+        player.blitz,
+        player.zen,
+        player.avatar_revision,
+        player.banner_revision,
+    )
+
+    if sprint.data.record is not None:
+        duration = timedelta(milliseconds=sprint.data.record.results.stats.finaltime).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.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/user/info',
+            V2TemplateInfo(
+                user=V2TemplateUser(
+                    id=user.ID,
+                    name=user.name.upper(),
+                    bio=user_info.data.bio,
+                    banner=f'http://{netloc}/host/resource/tetrio/banners/{user.ID}?{urlencode({"revision": banner_revision})}'
+                    if banner_revision is not None and banner_revision != 0
+                    else None,
+                    avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": avatar_revision})}'
+                    if avatar_revision is not None and avatar_revision != 0
+                    else Avatar(
+                        type='identicon',
+                        hash=md5(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.badges
+                    ],
+                    country=user_info.data.country,
+                    role=user_info.data.role,
+                    xp=user_info.data.xp,
+                    friend_count=user_info.data.friend_count,
+                    supporter_tier=user_info.data.supporter_tier,
+                    bad_standing=user_info.data.badstanding or False,
+                    verified=user_info.data.verified or False,
+                    playtime=play_time,
+                    join_at=user_info.data.ts,
+                ),
+                tetra_league=TetraLeague(
+                    rank=league.data.rank,
+                    highest_rank=league.data.bestrank,
+                    tr=round(league.data.tr, 2),
+                    glicko=round(league.data.glicko, 2),
+                    rd=round(league.data.rd, 2),
+                    global_rank=league.data.standing,
+                    country_rank=league.data.standing_local,
+                    pps=(metrics := get_metrics(pps=league.data.pps, apm=league.data.apm, vs=league.data.vs)).pps,
+                    apm=metrics.apm,
+                    apl=metrics.apl,
+                    vs=metrics.vs,
+                    adpl=metrics.adpl,
+                    statistic=TetraLeagueStatistic(total=league.data.gamesplayed, wins=league.data.gameswon),
+                    decaying=league.data.decaying,
+                    history=None,
+                ),
+                statistic=Statistic(
+                    total=handling_special_value(user_info.data.gamesplayed),
+                    wins=handling_special_value(user_info.data.gameswon),
+                ),
+                sprint=Sprint(
+                    time=sprint_value,
+                    global_rank=sprint.data.rank,
+                    play_at=sprint.data.record.ts,
+                )
+                if sprint.data.record is not None
+                else None,
+                blitz=Blitz(
+                    score=blitz.data.record.results.stats.score,
+                    global_rank=blitz.data.rank,
+                    play_at=blitz.data.record.ts,
+                )
+                if blitz.data.record is not None
+                else None,
+                zen=Zen(level=zen.data.level, score=zen.data.score),
+            ),
+        ),
+    ) as page_hash:
+        return await screenshot(f'http://{netloc}/host/{page_hash}.html')

nonebot_plugin_tetris_stats/games/tetrio/record/__init__.py

@@ -0,0 +1,33 @@
+from arclet.alconna import Arg, ArgFlag
+from nonebot_plugin_alconna import Args, At, Subcommand
+
+from ....utils.typing import Me
+from .. import command as base_command
+from .. import get_player
+
+command = Subcommand(
+    'record',
+    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],
+        ),
+    ),
+)
+
+from . import blitz, sprint  # noqa: E402
+
+base_command.add(command)
+
+__all__ = [
+    'blitz',
+    'sprint',
+]

nonebot_plugin_tetris_stats/games/tetrio/record/blitz.py

@@ -0,0 +1,148 @@
+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, Option
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import get_user
+
+from ....db import query_bind_info, trigger
+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
+from . import command
+
+command.add(Option('--blitz', dest='blitz'))
+
+alc.shortcut(
+    '(?i:io)(?i:记录|record)(?i:blitz)',
+    command='tstats TETR.IO record --blitz',
+    humanized='io记录blitz',
+)
+
+
+@alc.assign('TETRIO.record.blitz')
+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='record',
+        command_args=['--blitz'],
+    ):
+        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, event_session: EventSession):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='record',
+        command_args=['--blitz'],
+    ):
+        await UniMessage.image(raw=await make_blitz_image(account)).finish()
+
+
+async def make_blitz_image(player: Player) -> bytes:
+    user, blitz = await gather(player.user, player.blitz)
+    if blitz.data.record is None:
+        msg = f'未找到用户 {user.name.upper()} 的 Blitz 记录'
+        raise RecordNotFoundError(msg)
+    stats = blitz.data.record.results.stats
+    clears = stats.clears
+    duration = timedelta(milliseconds=stats.finaltime).total_seconds()
+    metrics = get_metrics(pps=stats.piecesplaced / duration)
+    netloc = get_self_netloc()
+    async with HostPage(
+        page=await render(
+            'v2/tetrio/record/blitz',
+            Record(
+                type='best',
+                user=User(
+                    id=user.ID,
+                    name=user.name.upper(),
+                    avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": avatar_revision})}'
+                    if (avatar_revision := (await player.avatar_revision)) is not None and avatar_revision != 0
+                    else Avatar(
+                        type='identicon',
+                        hash=md5(user.ID.encode()).hexdigest(),  # noqa: S324
+                    ),
+                ),
+                replay_id=blitz.data.record.replayid,
+                rank=blitz.data.rank,
+                personal_rank=1,
+                statistic=Statistic(
+                    keys=stats.inputs,
+                    kpp=round(stats.inputs / stats.piecesplaced, 2),
+                    kps=round(stats.inputs / duration, 2),
+                    max=Max(
+                        combo=max((0, stats.topcombo - 1)),
+                        btb=max((0, stats.topbtb - 1)),
+                    ),
+                    pieces=stats.piecesplaced,
+                    pps=metrics.pps,
+                    lines=stats.lines,
+                    lpm=metrics.lpm,
+                    holds=stats.holds,
+                    score=stats.score,
+                    spp=round(stats.score / stats.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.tspintriples,
+                        mini=Mini(
+                            total=clears.minitspins,
+                            single=clears.minitspinsingles,
+                            double=clears.minitspindoubles,
+                        ),
+                    ),
+                    all_clear=clears.allclear,
+                    finesse=Finesse(
+                        faults=stats.finesse.faults,
+                        accuracy=round(stats.finesse.perfectpieces / stats.piecesplaced * 100, 2),
+                    ),
+                    level=stats.level,
+                ),
+                play_at=blitz.data.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 +1,148 @@
+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, Option
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_session import EventSession
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import get_user
+
+from ....db import query_bind_info, trigger
+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, Statistic, Tspins, User
+from ....utils.render.schemas.tetrio.record.sprint import Record
+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
+from . import command
+
+command.add(Option('--40l', dest='sprint'))
+
+alc.shortcut(
+    '(?i:io)(?i:记录|record)(?i:40l)',
+    command='tstats TETR.IO record --40l',
+    humanized='io记录40l',
+)
+
+
+@alc.assign('TETRIO.record.sprint')
+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='record',
+        command_args=['--40l'],
+    ):
+        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, event_session: EventSession):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='record',
+        command_args=['--40l'],
+    ):
+        await UniMessage.image(raw=await make_sprint_image(account)).finish()
+
+
+async def make_sprint_image(player: Player) -> bytes:
+    user, sprint = await gather(player.user, player.sprint)
+    if sprint.data.record is None:
+        msg = f'未找到用户 {user.name.upper()} 的 40L 记录'
+        raise RecordNotFoundError(msg)
+    stats = sprint.data.record.results.stats
+    clears = stats.clears
+    duration = timedelta(milliseconds=stats.finaltime).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=stats.piecesplaced / duration)
+    netloc = get_self_netloc()
+    async with HostPage(
+        page=await render(
+            'v2/tetrio/record/40l',
+            Record(
+                type='best',
+                user=User(
+                    id=user.ID,
+                    name=user.name.upper(),
+                    avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": avatar_revision})}'
+                    if (avatar_revision := (await player.avatar_revision)) is not None and avatar_revision != 0
+                    else Avatar(
+                        type='identicon',
+                        hash=md5(user.ID.encode()).hexdigest(),  # noqa: S324
+                    ),
+                ),
+                time=sprint_value,
+                replay_id=sprint.data.record.replayid,
+                rank=sprint.data.rank,
+                personal_rank=1,
+                statistic=Statistic(
+                    keys=stats.inputs,
+                    kpp=round(stats.inputs / stats.piecesplaced, 2),
+                    kps=round(stats.inputs / duration, 2),
+                    max=Max(
+                        combo=max((0, stats.topcombo - 1)),
+                        btb=max((0, stats.topbtb - 1)),
+                    ),
+                    pieces=stats.piecesplaced,
+                    pps=metrics.pps,
+                    lines=stats.lines,
+                    lpm=metrics.lpm,
+                    holds=stats.holds,
+                    score=stats.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.tspintriples,
+                        mini=Mini(
+                            total=clears.minitspins,
+                            single=clears.minitspinsingles,
+                            double=clears.minitspindoubles,
+                        ),
+                    ),
+                    all_clear=clears.allclear,
+                    finesse=Finesse(
+                        faults=stats.finesse.faults,
+                        accuracy=round(stats.finesse.perfectpieces / stats.piecesplaced * 100, 2),
+                    ),
+                ),
+                play_at=sprint.data.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

@@ -1,10 +1,9 @@
-from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
-from nonebot_plugin_alconna import At, on_alconna
+from arclet.alconna import Arg, ArgFlag
+from nonebot_plugin_alconna import Args, At, Subcommand
 
 from ...utils.exception import MessageFormatError
 from ...utils.typing import Me
-from .. import add_default_handlers
-from ..constant import BIND_COMMAND, QUERY_COMMAND
+from .. import add_block_handlers, alc, command
 from .api import Player
 from .constant import USER_NAME
 
@@ -15,31 +14,28 @@ def get_player(name: str) -> Player | MessageFormatError:
     return MessageFormatError('用户名/ID不合法')
 
 
-alc = on_alconna(
-    Alconna(
-        'top',
-        Option(
-            BIND_COMMAND[0],
+command.add(
+    Subcommand(
+        'TOP',
+        Subcommand(
+            'bind',
             Args(
                 Arg(
                     'account',
                     get_player,
-                    notice='TOP 用户名',
+                    notice='TOP 用户名 / ID',
                     flags=[ArgFlag.HIDDEN],
                 )
             ),
-            alias=BIND_COMMAND[1:],
-            compact=True,
-            dest='bind',
             help_text='绑定 TOP 账号',
         ),
-        Option(
-            QUERY_COMMAND[0],
+        Subcommand(
+            'query',
             Args(
                 Arg(
                     'target',
                     At | Me,
-                    notice='@想要查询的人 | 自己',
+                    notice='@想要查询的人 / 自己',
                     flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
                 ),
                 Arg(
@@ -49,24 +45,15 @@ alc = on_alconna(
                     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'},
+        help_text='TOP 游戏相关指令',
+    )
 )
 
-from . import bind, query  # noqa: E402, F401
+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_default_handlers(alc)
+add_block_handlers(alc.assign('TOP.query'))
+
+from . import bind, query  # noqa: E402, F401

nonebot_plugin_tetris_stats/games/top/api/player.py

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

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

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

nonebot_plugin_tetris_stats/games/top/bind.py

@@ -1,16 +1,13 @@
-from urllib.parse import urlunparse
-
-from nonebot.adapters import Bot
 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 import EventSession
 from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
-from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo  # type: ignore[import-untyped]
+from nonebot_plugin_user import User
+from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo
 
 from ...db import BindStatus, create_or_update_bind, trigger
-from ...utils.avatar import get_avatar
 from ...utils.host import HostPage, get_self_netloc
-from ...utils.platform import get_platform
+from ...utils.image import get_avatar
 from ...utils.render import Bind, render
 from ...utils.render.schemas.base import People
 from ...utils.screenshot import screenshot
@@ -19,13 +16,13 @@ from .api import Player
 from .constant import GAME_TYPE
 
 
-@alc.assign('bind')
+@alc.assign('TOP.bind')
 async def _(
-    bot: Bot,
+    nb_user: User,
     account: Player,
     event_session: EventSession,
-    bot_info: UserInfo = BotUserInfo(),  # noqa: B008
     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),
@@ -37,15 +34,14 @@ async def _(
         async with get_session() as session:
             bind_status = await create_or_update_bind(
                 session=session,
-                chat_platform=get_platform(bot),
-                chat_account=event_user_info.user_id,
+                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(
-                    'binding',
+                    'v1/binding',
                     Bind(
                         platform=GAME_TYPE,
                         status='unknown',
@@ -62,5 +58,5 @@ async def _(
                 )
             ) as page_hash:
                 await UniMessage.image(
-                    raw=await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
+                    raw=await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
                 ).finish()

nonebot_plugin_tetris_stats/games/top/query.py

@@ -0,0 +1,114 @@
+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
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import get_user
+
+from ...db import query_bind_info, trigger
+from ...utils.exception import FallbackError
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.metrics import TetrisMetricsBasicWithLPM, get_metrics
+from ...utils.render import render
+from ...utils.render.avatar import get_avatar
+from ...utils.render.schemas.base import People
+from ...utils.render.schemas.top_info import Data as InfoData
+from ...utils.render.schemas.top_info import Info
+from ...utils.screenshot import screenshot
+from ...utils.typing import Me
+from ..constant import CANT_VERIFY_MESSAGE
+from . import alc
+from .api import Player
+from .api.schemas.user_profile import Data, 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')
+        await (
+            UniMessage(CANT_VERIFY_MESSAGE)
+            + await make_query_result(await Player(user_name=bind.game_account, trust=True).get_profile())
+        ).finish()
+
+
+@alc.assign('TOP.query')
+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 (await make_query_result(await account.get_profile())).finish()
+
+
+def get_avg_metrics(data: list[Data]) -> TetrisMetricsBasicWithLPM:
+    total_lpm = total_apm = 0.0
+    for value in data:
+        total_lpm += value.lpm
+        total_apm += value.apm
+    num = len(data)
+    return get_metrics(lpm=total_lpm / num, apm=total_apm / num)
+
+
+async def make_query_image(profile: UserProfile) -> bytes:
+    if profile.today is None or profile.total is None:
+        raise FallbackError
+    today = get_metrics(lpm=profile.today.lpm, apm=profile.today.apm)
+    history = get_avg_metrics(profile.total)
+    async with HostPage(
+        await render(
+            'v1/top/info',
+            Info(
+                user=People(avatar=get_avatar(profile.user_name), name=profile.user_name),
+                today=InfoData(pps=today.pps, lpm=today.lpm, apm=today.apm, apl=today.apl),
+                history=InfoData(pps=history.pps, lpm=history.lpm, apm=history.apm, apl=history.apl),
+            ),
+        )
+    ) as page_hash:
+        return await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
+
+
+def make_query_text(profile: UserProfile) -> UniMessage:
+    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 = get_avg_metrics(profile.total)
+        message += '\n历史统计数据为: '
+        message += f"\nL'PM: {total.lpm} ( {total.pps} pps )"
+        message += f'\nAPM: {total.apm} ( x{total.apl} )'
+    else:
+        message += '\n暂无历史统计数据'
+    return UniMessage(message)
+
+
+async def make_query_result(profile: UserProfile) -> UniMessage:
+    try:
+        return UniMessage.image(raw=await make_query_image(profile))
+    except FallbackError:
+        ...
+    return make_query_text(profile)

nonebot_plugin_tetris_stats/games/tos/__init__.py

@@ -1,10 +1,9 @@
-from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
-from nonebot_plugin_alconna import At, on_alconna
+from arclet.alconna import Arg, ArgFlag
+from nonebot_plugin_alconna import Args, At, Subcommand
 
 from ...utils.exception import MessageFormatError
 from ...utils.typing import Me
-from .. import add_default_handlers
-from ..constant import BIND_COMMAND, QUERY_COMMAND
+from .. import add_block_handlers, alc, command
 from .api import Player
 from .constant import USER_NAME
 
@@ -20,31 +19,28 @@ def get_player(teaid_or_name: str) -> Player | MessageFormatError:
     return MessageFormatError('用户名/ID不合法')
 
 
-alc = on_alconna(
-    Alconna(
-        '茶服',
-        Option(
-            BIND_COMMAND[0],
+command.add(
+    Subcommand(
+        'TOS',
+        Subcommand(
+            'bind',
             Args(
                 Arg(
                     'account',
                     get_player,
-                    notice='茶服 用户名 / TeaID',
+                    notice='茶服 用户名 / ID',
                     flags=[ArgFlag.HIDDEN],
                 )
             ),
-            alias=BIND_COMMAND[1:],
-            compact=True,
-            dest='bind',
             help_text='绑定 茶服 账号',
         ),
-        Option(
-            QUERY_COMMAND[0],
+        Subcommand(
+            'query',
             Args(
                 Arg(
                     'target',
                     At | Me,
-                    notice='@想要查询的人 | 自己',
+                    notice='@想要查询的人 / 自己',
                     flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
                 ),
                 Arg(
@@ -53,27 +49,16 @@ alc = on_alconna(
                     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'},
+        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
-
-add_default_handlers(alc)

nonebot_plugin_tetris_stats/games/tos/api/player.py

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

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

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

nonebot_plugin_tetris_stats/games/tos/bind.py

@@ -1,16 +1,13 @@
-from urllib.parse import urlunparse
-
-from nonebot.adapters import Bot
 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 import EventSession
 from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
-from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo  # type: ignore[import-untyped]
+from nonebot_plugin_user import User
+from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo
 
 from ...db import BindStatus, create_or_update_bind, trigger
-from ...utils.avatar import get_avatar
 from ...utils.host import HostPage, get_self_netloc
-from ...utils.platform import get_platform
+from ...utils.image import get_avatar
 from ...utils.render import Bind, render
 from ...utils.render.schemas.base import People
 from ...utils.screenshot import screenshot
@@ -19,13 +16,13 @@ from .api import Player
 from .constant import GAME_TYPE
 
 
-@alc.assign('bind')
+@alc.assign('TOS.bind')
 async def _(
-    bot: Bot,
+    nb_user: User,
     account: Player,
     event_session: EventSession,
-    bot_info: UserInfo = BotUserInfo(),  # noqa: B008
     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),
@@ -37,8 +34,7 @@ async def _(
         async with get_session() as session:
             bind_status = await create_or_update_bind(
                 session=session,
-                chat_platform=get_platform(bot),
-                chat_account=event_user_info.user_id,
+                user=nb_user,
                 game_platform=GAME_TYPE,
                 game_account=user.unique_identifier,
             )
@@ -46,7 +42,7 @@ async def _(
         if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
             async with HostPage(
                 await render(
-                    'binding',
+                    'v1/binding',
                     Bind(
                         platform=GAME_TYPE,
                         status='unknown',
@@ -62,5 +58,5 @@ async def _(
                 )
             ) as page_hash:
                 await UniMessage.image(
-                    raw=await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
+                    raw=await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
                 ).finish()

nonebot_plugin_tetris_stats/games/tos/constant.py

@@ -6,9 +6,6 @@ GAME_TYPE: Literal['TOS'] = 'TOS'
 BASE_URL = {
     'https://teatube.cn:8888/',
     'http://cafuuchino1.studio26f.org:19970',
-    'http://cafuuchino2.studio26f.org:19970',
-    'http://cafuuchino3.studio26f.org:19970',
-    'http://cafuuchino4.studio26f.org:19970',
 }
 
 USER_NAME = compile(

nonebot_plugin_tetris_stats/games/tos/query.py

@@ -0,0 +1,272 @@
+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
+from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
+from nonebot_plugin_user import get_user
+from nonebot_plugin_userinfo import EventUserInfo, UserInfo
+
+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.avatar import get_avatar as get_random_avatar
+from ...utils.render.schemas.base import People, Ranking
+from ...utils.render.schemas.tos_info import Info, Multiplayer, Radar
+from ...utils.screenshot import screenshot
+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, None if isinstance(target, At) else 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, None if isinstance(target, At) else event_user_info
+                    )
+                )
+            ).finish()
+        await (message + make_query_text(user_info, game_data)).finish()
+
+
+@alc.assign('TOS.query')
+async def _(account: Player, event_session: EventSession):
+    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, None)).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 | None) -> bytes:
+    metrics = game_data.metrics
+    sprint_value = (
+        (
+            f'{duration:.3f}s'
+            if (duration := timedelta(milliseconds=float(user_info.data.pb_sprint)).total_seconds()) < 60  # noqa: PLR2004
+            else f'{duration // 60:.0f}m {duration % 60:.3f}s'
+        )
+        if user_info.data.pb_sprint != '2147483647'
+        else 'N/A'
+    )
+    async with HostPage(
+        await render(
+            'v1/tos/info',
+            Info(
+                user=People(
+                    avatar=await get_avatar(event_user_info, 'Data URI', None)
+                    if event_user_info is not None
+                    else get_random_avatar(user_info.data.teaid),
+                    name=user_info.data.name,
+                ),
+                ranking=Ranking(rating=float(user_info.data.ranking), rd=round(float(user_info.data.rd_now), 2)),
+                multiplayer=Multiplayer(
+                    pps=metrics.pps,
+                    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/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 +1,27 @@
 from hashlib import sha256
 from ipaddress import IPv4Address, IPv6Address
-from typing import TYPE_CHECKING, 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.log import logger
-from nonebot_plugin_localstore import get_cache_dir  # type: ignore[import-untyped]
 
-from .templates import templates_dir
+from ..config.config import CACHE_PATH
+from .image import img_to_png
+from .request import Request
+from .templates import TEMPLATES_DIR
 
 if TYPE_CHECKING:
     from pydantic import IPvAnyAddress
 
-app = get_app()
+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):
     msg = '本插件需要 FastAPI 驱动器才能运行'
@@ -47,19 +48,35 @@ class HostPage:
 def _():
     app.mount(
         '/host/assets',
-        StaticFiles(directory=templates_dir / 'assets'),
+        StaticFiles(directory=TEMPLATES_DIR / 'assets'),
         name='assets',
     )
     logger.success('assets mounted')
 
 
 @app.get('/host/{page_hash}.html', status_code=status.HTTP_200_OK)
-async def _(page_hash: str) -> HTMLResponse:
+def _(page_hash: str) -> HTMLResponse:
     if page_hash in HostPage.pages:
         return HTMLResponse(HostPage.pages[page_hash])
     return NOT_FOUND
 
 
+@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

@@ -2,7 +2,7 @@ from base64 import b64encode
 from io import BytesIO
 from typing import Literal, overload
 
-from nonebot_plugin_userinfo import UserInfo  # type: ignore[import-untyped]
+from nonebot_plugin_userinfo import UserInfo
 from PIL import Image
 
 
@@ -52,3 +52,11 @@ async def get_avatar(user: UserInfo, scheme: Literal['Data URI', 'bytes'], defau
             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/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/render/__init__.py

@@ -3,27 +3,79 @@ from typing import Literal, overload
 from jinja2 import Environment, FileSystemLoader
 from nonebot.compat import PYDANTIC_V2
 
-from ..templates import templates_dir
+from ..templates import TEMPLATES_DIR
 from .schemas.bind import Bind
-from .schemas.tetrio_info import TETRIOInfo
+from .schemas.tetrio.rank.detail import Data as TETRIORankDetailData
+from .schemas.tetrio.rank.v1 import Data as TETRIORankDataV1
+from .schemas.tetrio.rank.v2 import Data as TETRIORankDataV2
+from .schemas.tetrio.record.blitz import Record as TETRIORecordBlitz
+from .schemas.tetrio.record.sprint import Record as TETRIORecordSprint
+from .schemas.tetrio.user.info_v1 import Info as TETRIOUserInfoV1
+from .schemas.tetrio.user.info_v2 import Info as TETRIOUserInfoV2
+from .schemas.tetrio.user.list_v2 import List as TETRIOUserListV2
+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
+    loader=FileSystemLoader(TEMPLATES_DIR), autoescape=True, trim_blocks=True, lstrip_blocks=True, enable_async=True
 )
 
 
 @overload
-async def render(render_type: Literal['binding'], data: Bind) -> str: ...
-
-
+async def render(render_type: Literal['v1/binding'], data: Bind) -> str: ...
 @overload
-async def render(render_type: Literal['tetrio/info'], data: TETRIOInfo) -> str: ...
+async def render(render_type: Literal['v1/tetrio/info'], data: TETRIOUserInfoV1) -> str: ...
+@overload
+async def render(render_type: Literal['v1/tetrio/rank'], data: TETRIORankDataV1) -> 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/user/info'], data: TETRIOUserInfoV2) -> str: ...
+@overload
+async def render(render_type: Literal['v2/tetrio/user/list'], data: TETRIOUserListV2) -> 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: ...
+@overload
+async def render(render_type: Literal['v2/tetrio/rank'], data: TETRIORankDataV2) -> str: ...
+@overload
+async def render(render_type: Literal['v2/tetrio/rank/detail'], data: TETRIORankDetailData) -> str: ...
 
 
-async def render(render_type: Literal['binding', 'tetrio/info'], data: Bind | TETRIOInfo) -> str:
+async def render(
+    render_type: Literal[
+        'v1/binding',
+        'v1/tetrio/info',
+        'v1/tetrio/rank',
+        'v1/top/info',
+        'v1/tos/info',
+        'v2/tetrio/user/info',
+        'v2/tetrio/user/list',
+        'v2/tetrio/record/40l',
+        'v2/tetrio/record/blitz',
+        'v2/tetrio/rank',
+        'v2/tetrio/rank/detail',
+    ],
+    data: Bind
+    | TETRIOUserInfoV1
+    | TETRIORankDataV1
+    | TOPInfo
+    | TOSInfo
+    | TETRIOUserInfoV2
+    | TETRIOUserListV2
+    | TETRIORecordSprint
+    | TETRIORecordBlitz
+    | TETRIORankDataV2
+    | TETRIORankDetailData,
+) -> 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())
+        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', 'Bind', 'TETRIOInfo']
+__all__ = ['render']

nonebot_plugin_tetris_stats/utils/render/avatar/__init__.py

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

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

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

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

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