🔖 1.4.0

Bumps [ruff](https://github.com/astral-sh/ruff) from 0.5.1 to 0.5.2.
- [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/0.5.1...0.5.2)

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

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

.github/workflows/TypeCheck.yml

@@ -1,10 +1,10 @@
-name: Run mypy type check
+name: TypeCheck
 
 on:
     push:
 
 jobs:
-    release:
+    Mypy:
         runs-on: ubuntu-latest
         steps:
             - uses: actions/checkout@v4
@@ -15,7 +15,7 @@ jobs:
 
             - uses: actions/setup-python@v5
               with:
-                  python-version: '3.11'
+                  python-version: '3.10'
                   cache: 'poetry'
 
             - run: poetry install

nonebot_plugin_tetris_stats/games/tetrio/__init__.py

@@ -92,7 +92,15 @@ command.add(
         ),
         Subcommand(
             'rank',
-            Args(Arg('rank', ValidRank, notice='TETR.IO 段位')),
+            Option(
+                '--all',
+                dest='all',
+            ),
+            Option(
+                '--detail',
+                Arg('rank', ValidRank),
+                alias=['-D'],
+            ),
             help_text='查询 TETR.IO 段位信息',
         ),
         Subcommand(
@@ -108,57 +116,54 @@ command.add(
     )
 )
 
+
+def rank_wrapper(slot: int | str, content: str | None):
+    if slot == 'rank' and not content:
+        return '--all'
+    if content is not None:
+        return f'--detail {content.lower()}'
+    return content
+
+
 alc.shortcut(
     '(?i:io)(?i:绑定|绑|bind)',
-    {
-        'command': 'tstats TETR.IO bind',
-        'humanized': 'io绑定',
-    },
+    command='tstats TETR.IO bind',
+    humanized='io绑定',
 )
 alc.shortcut(
     '(?i:io)(?i:查询|查|query|stats)',
-    {
-        'command': 'tstats TETR.IO query',
-        'humanized': 'io查',
-    },
+    command='tstats TETR.IO query',
+    humanized='io查',
 )
 alc.shortcut(
     '(?i:io)(?i:记录|record)(?i:40l)',
-    {
-        'command': 'tstats TETR.IO record --40l',
-        'humanized': 'io记录40l',
-    },
+    command='tstats TETR.IO record --40l',
+    humanized='io记录40l',
 )
 alc.shortcut(
     '(?i:io)(?i:记录|record)(?i:blitz)',
-    {
-        'command': 'tstats TETR.IO record --blitz',
-        'humanized': 'io记录blitz',
-    },
+    command='tstats TETR.IO record --blitz',
+    humanized='io记录blitz',
 )
 alc.shortcut(
-    '(?i:io)(?i:段位|段|rank)',
-    {
-        'command': 'tstats TETR.IO rank',
-        'humanized': 'iorank',
-    },
+    r'(?i:io)(?i:段位|段|rank)\s*(?P<rank>[a-zA-Z+-]{0,2})',
+    command='tstats TETR.IO rank {rank}',
+    humanized='iorank',
+    fuzzy=False,
+    wrapper=rank_wrapper,
 )
 alc.shortcut(
     '(?i:io)(?i:配置|配|config)',
-    {
-        'command': 'tstats TETR.IO config',
-        'humanized': 'io配置',
-    },
+    command='tstats TETR.IO config',
+    humanized='io配置',
 )
 
 alc.shortcut(
     'fkosk',
-    {
-        'command': 'tstats TETR.IO query',
-        'args': ['我'],
-        'fuzzy': False,
-        'humanized': 'An Easter egg!',
-    },
+    command='tstats TETR.IO query',
+    arguments=['我'],
+    fuzzy=False,
+    humanized='An Easter egg!',
 )
 
 add_block_handlers(alc.assign('TETRIO.query'))

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

@@ -4,13 +4,13 @@ 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
+from .api.typing import ValidRank
 from .typing import Template
 
 
 class IORank(MappedAsDataclass, Model):
     id: Mapped[int] = mapped_column(init=False, primary_key=True)
-    rank: Mapped[Rank] = mapped_column(String(2), index=True)
+    rank: Mapped[ValidRank] = 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)

nonebot_plugin_tetris_stats/games/tetrio/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 .models import IORank
-
-UTC = timezone.utc
-
-driver = get_driver()
-
-
-@alc.assign('TETRIO.rank')
-async def _(matcher: Matcher, rank: Rank, event_session: EventSession):
-    async with trigger(
-        session_persist_id=await get_session_persist_id(event_session),
-        game_platform=GAME_TYPE,
-        command_type='rank',
-        command_args=[],
-    ):
-        if rank == 'z':
-            await matcher.finish('暂不支持查询未知段位')
-        async with get_session() as session:
-            latest_data = (
-                await session.scalars(select(IORank).where(IORank.rank == rank).order_by(IORank.id.desc()).limit(1))
-            ).one()
-            compare_data = (
-                await session.scalars(
-                    select(IORank)
-                    .where(IORank.rank == rank)
-                    .order_by(
-                        func.abs(
-                            func.julianday(IORank.update_time)
-                            - func.julianday(latest_data.update_time - timedelta(hours=24))
-                        )
-                    )
-                    .limit(1)
-                )
-            ).one()
-        message = ''
-        if (datetime.now(UTC) - latest_data.update_time.replace(tzinfo=UTC)) > timedelta(hours=7):
-            message += 'Warning: 数据超过7小时未更新, 请联系Bot主人查看后台\n'
-        message += f'{rank.upper()} 段 分数线 {latest_data.tr_line:.2f} TR, {latest_data.player_count} 名玩家\n'
-        if compare_data.id != latest_data.id:
-            message += f'对比 {(latest_data.update_time-compare_data.update_time).total_seconds()/3600:.2f} 小时前趋势: {f"↑{difference:.2f}" if (difference:=latest_data.tr_line-compare_data.tr_line) > 0 else f"↓{-difference:.2f}" if difference < 0 else "→"}'
-        else:
-            message += '暂无对比数据'
-        avg = get_metrics(pps=latest_data.avg_pps, apm=latest_data.avg_apm, vs=latest_data.avg_vs)
-        low_pps = get_metrics(pps=latest_data.low_pps[1])
-        low_vs = get_metrics(vs=latest_data.low_vs[1])
-        max_pps = get_metrics(pps=latest_data.high_pps[1])
-        max_vs = get_metrics(vs=latest_data.high_vs[1])
-        message += (
-            '\n'
-            '平均数据:\n'
-            f"L'PM: {avg.lpm} ( {avg.pps} pps )\n"
-            f'APM: {avg.apm} ( x{avg.apl} )\n'
-            f'ADPM: {avg.adpm} ( x{avg.adpl} ) ( {avg.vs}vs )\n'
-            '\n'
-            '最低数据:\n'
-            f"L'PM: {low_pps.lpm} ( {low_pps.pps} pps ) By: {latest_data.low_pps[0]['name'].upper()}\n"
-            f'APM: {latest_data.low_apm[1]} By: {latest_data.low_apm[0]["name"].upper()}\n'
-            f'ADPM: {low_vs.adpm} ( {low_vs.vs}vs ) By: {latest_data.low_vs[0]["name"].upper()}\n'
-            '\n'
-            '最高数据:\n'
-            f"L'PM: {max_pps.lpm} ( {max_pps.pps} pps ) By: {latest_data.high_pps[0]['name'].upper()}\n"
-            f'APM: {latest_data.high_apm[1]} By: {latest_data.high_apm[0]["name"].upper()}\n'
-            f'ADPM: {max_vs.adpm} ( {max_vs.vs}vs ) By: {latest_data.high_vs[0]["name"].upper()}\n'
-            '\n'
-            f'数据更新时间: {latest_data.update_time.replace(tzinfo=UTC).astimezone(ZoneInfo("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")}'
-        )
-        await matcher.finish(message)
-
-
-@scheduler.scheduled_job('cron', hour='0,6,12,18', minute=0)
-@retry(exception_type=RequestError, delay=timedelta(minutes=15))
-async def get_tetra_league_data() -> None:
-    league, original = await full_export(with_original=True)
-    if isinstance(league, FailedModel):
-        msg = f'排行榜数据请求错误:\n{league.error}'
-        raise RequestError(msg)
-
-    def pps(user: ValidUser) -> float:
-        return user.league.pps
-
-    def apm(user: ValidUser) -> float:
-        return user.league.apm
-
-    def vs(user: ValidUser) -> float:
-        return user.league.vs
-
-    def _min(users: list[ValidUser], field: Callable[[ValidUser], float]) -> ValidUser:
-        return min(users, key=field)
-
-    def _max(users: list[ValidUser], field: Callable[[ValidUser], float]) -> ValidUser:
-        return max(users, key=field)
-
-    def build_extremes_data(
-        users: list[ValidUser],
-        field: Callable[[ValidUser], float],
-        sort: Callable[[list[ValidUser], Callable[[ValidUser], float]], ValidUser],
-    ) -> tuple[dict[str, str], float]:
-        user = sort(users, field)
-        return model_dump(User(ID=user.id, name=user.username)), field(user)
-
-    data_hash: str | None = await run_sync((await run_sync(sha512)(original)).hexdigest)()
-    async with open(get_data_file('nonebot_plugin_tetris_stats', f'{data_hash}.json.zst'), mode='wb') as file:
-        await file.write(await run_sync(ZstdCompressor(level=12, threads=-1).compress)(original))
-
-    users = [i for i in league.data.users if isinstance(i, ValidUser)]
-    rank_to_users: defaultdict[Rank, list[ValidUser]] = defaultdict(list)
-    for i in users:
-        rank_to_users[i.league.rank].append(i)
-    rank_info: list[IORank] = []
-    for rank, percentile in RANK_PERCENTILE.items():
-        offset = floor((percentile / 100) * len(users)) - 1
-        tr_line = users[offset].league.rating
-        rank_users = rank_to_users[rank]
-        rank_info.append(
-            IORank(
-                rank=rank,
-                tr_line=tr_line,
-                player_count=len(rank_users),
-                low_pps=(build_extremes_data(rank_users, pps, _min)),
-                low_apm=(build_extremes_data(rank_users, apm, _min)),
-                low_vs=(build_extremes_data(rank_users, vs, _min)),
-                avg_pps=mean({i.league.pps for i in rank_users}),
-                avg_apm=mean({i.league.apm for i in rank_users}),
-                avg_vs=mean({i.league.vs for i in rank_users}),
-                high_pps=(build_extremes_data(rank_users, pps, _max)),
-                high_apm=(build_extremes_data(rank_users, apm, _max)),
-                high_vs=(build_extremes_data(rank_users, vs, _max)),
-                update_time=league.cache.cached_at,
-                file_hash=data_hash,
-            )
-        )
-    async with get_session() as session:
-        session.add_all(rank_info)
-        await session.commit()
-
-
-@driver.on_startup
-async def _() -> None:
-    async with get_session() as session:
-        latest_time = await session.scalar(select(IORank.update_time).order_by(IORank.id.desc()).limit(1))
-    if latest_time is None or datetime.now(tz=UTC) - latest_time.replace(tzinfo=UTC) > timedelta(hours=6):
-        await get_tetra_league_data()

nonebot_plugin_tetris_stats/games/tetrio/rank/__init__.py

@@ -0,0 +1,113 @@
+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 typing import TYPE_CHECKING
+
+from aiofiles import open
+from nonebot import get_driver
+from nonebot.compat import model_dump
+from nonebot.utils import run_sync
+from nonebot_plugin_apscheduler import scheduler
+from nonebot_plugin_localstore import get_data_file
+from nonebot_plugin_orm import get_session
+from sqlalchemy import select
+from zstandard import ZstdCompressor
+
+from ....utils.exception import RequestError
+from ....utils.retry import retry
+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 ..constant import RANK_PERCENTILE
+from ..models import IORank
+
+if TYPE_CHECKING:
+    from ..api.typing import Rank
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+
+@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()
+
+
+from . import all, detail  # noqa: E402
+
+__all__ = ['all', 'detail']

nonebot_plugin_tetris_stats/games/tetrio/rank/all.py

@@ -0,0 +1,78 @@
+from datetime import timedelta
+
+from nonebot_plugin_alconna 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 func, select
+
+from ....db import trigger
+from ....utils.host import HostPage, get_self_netloc
+from ....utils.metrics import get_metrics
+from ....utils.render import render
+from ....utils.render.schemas.tetrio.tetrio_rank import AverageData, Data, ItemData
+from ....utils.screenshot import screenshot
+from .. import alc
+from ..constant import GAME_TYPE
+from ..models import IORank
+
+
+@alc.assign('TETRIO.rank.all')
+async def _(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=['--all'],
+    ):
+        async with get_session() as session:
+            latest_update_time = (
+                await session.scalars(select(IORank.update_time).order_by(IORank.id.desc()).limit(1))
+            ).one()
+            compare_time = (
+                await session.scalars(
+                    select(IORank.update_time)
+                    .order_by(
+                        func.abs(
+                            func.julianday(IORank.update_time)
+                            - func.julianday(latest_update_time - timedelta(hours=24))
+                        )
+                    )
+                    .limit(1)
+                )
+            ).one()
+            latest_data = (
+                await session.scalars(
+                    select(IORank).where(IORank.update_time == latest_update_time).order_by(IORank.tr_line.desc())
+                )
+            ).all()
+            compare_data = (
+                await session.scalars(
+                    select(IORank).where(IORank.update_time == compare_time).order_by(IORank.tr_line.desc())
+                )
+            ).all()
+        async with HostPage(
+            await render(
+                'v2/tetrio/rank',
+                Data(
+                    items={
+                        i[0].rank: ItemData(
+                            require_tr=round(i[0].tr_line, 2),
+                            trending=round(i[0].tr_line - i[1].tr_line, 2),
+                            average_data=AverageData(
+                                pps=(metrics := get_metrics(pps=i[0].avg_pps, apm=i[0].avg_apm, vs=i[0].avg_vs)).pps,
+                                apm=metrics.apm,
+                                apl=metrics.apl,
+                                vs=metrics.vs,
+                                adpl=metrics.adpl,
+                            ),
+                            players=i[0].player_count,
+                        )
+                        for i in zip(latest_data, compare_data, strict=True)
+                    },
+                    updated_at=latest_update_time,
+                ),
+            )
+        ) as page_hash:
+            await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
+            await UniMessage.image(raw=await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')).finish()

nonebot_plugin_tetris_stats/games/tetrio/rank/detail.py

@@ -0,0 +1,138 @@
+from datetime import datetime, timedelta, timezone
+from zoneinfo import ZoneInfo
+
+from nonebot import get_driver
+from nonebot_plugin_alconna 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 func, select
+
+from ....db import trigger
+from ....utils.host import HostPage, get_self_netloc
+from ....utils.metrics import get_metrics
+from ....utils.render import render
+from ....utils.render.schemas.tetrio.tetrio_rank_detail import Data, SpecialData
+from ....utils.screenshot import screenshot
+from .. import alc
+from ..api.typing import ValidRank
+from ..constant import GAME_TYPE
+from ..models import IORank
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+
+@alc.assign('TETRIO.rank')
+async def _(rank: ValidRank, 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=[f'--detail {rank}'],
+    ):
+        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()
+        await UniMessage.image(raw=await make_image(latest_data, compare_data)).finish()
+
+
+async def make_image(latest_data: IORank, compare_data: IORank) -> bytes:
+    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])
+    async with HostPage(
+        await render(
+            'v2/tetrio/rank/detail',
+            Data(
+                name=latest_data.rank,
+                trending=round(latest_data.tr_line - compare_data.tr_line, 2),
+                require_tr=round(latest_data.tr_line, 2),
+                players=latest_data.player_count,
+                minimum_data=SpecialData(
+                    apm=latest_data.low_apm[1],
+                    pps=low_pps.pps,
+                    lpm=low_pps.lpm,
+                    vs=low_vs.vs,
+                    adpm=low_vs.adpm,
+                    apm_holder=latest_data.low_apm[0]['name'].upper(),
+                    pps_holder=latest_data.low_pps[0]['name'].upper(),
+                    vs_holder=latest_data.low_vs[0]['name'].upper(),
+                ),
+                average_data=SpecialData(
+                    apm=avg.apm,
+                    pps=avg.pps,
+                    lpm=avg.lpm,
+                    vs=avg.vs,
+                    adpm=avg.adpm,
+                    apl=avg.apl,
+                    adpl=avg.adpl,
+                ),
+                maximum_data=SpecialData(
+                    apm=latest_data.high_apm[1],
+                    pps=max_pps.pps,
+                    lpm=max_pps.lpm,
+                    vs=max_vs.vs,
+                    adpm=max_vs.adpm,
+                    apm_holder=latest_data.high_apm[0]['name'].upper(),
+                    pps_holder=latest_data.high_pps[0]['name'].upper(),
+                    vs_holder=latest_data.high_vs[0]['name'].upper(),
+                ),
+                updated_at=latest_data.update_time.replace(tzinfo=UTC).astimezone(ZoneInfo('Asia/Shanghai')),
+            ),
+        )
+    ) as page_hash:
+        return await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
+
+
+async def make_text(latest_data: IORank, compare_data: IORank) -> str:
+    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'{latest_data.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")}'
+    )
+    return message

nonebot_plugin_tetris_stats/utils/render/__init__.py

@@ -6,6 +6,8 @@ from nonebot.compat import PYDANTIC_V2
 from ..templates import templates_dir
 from .schemas.bind import Bind
 from .schemas.tetrio.tetrio_info import Info as TETRIOInfo
+from .schemas.tetrio.tetrio_rank import Data as TETRIORankData
+from .schemas.tetrio.tetrio_rank_detail import Data as TETRIORankDetailData
 from .schemas.tetrio.tetrio_record_blitz import Record as TETRIORecordBlitz
 from .schemas.tetrio.tetrio_record_sprint import Record as TETRIORecordSprint
 from .schemas.tetrio.tetrio_user_info_v2 import Info as TETRIOUserInfoV2
@@ -20,34 +22,24 @@ env = Environment(
 
 @overload
 async def render(render_type: Literal['v1/binding'], data: Bind) -> str: ...
-
-
 @overload
 async def render(render_type: Literal['v1/tetrio/info'], data: TETRIOInfo) -> str: ...
-
-
 @overload
 async def render(render_type: Literal['v1/top/info'], data: TOPInfo) -> str: ...
-
-
 @overload
 async def render(render_type: Literal['v1/tos/info'], data: TOSInfo) -> str: ...
-
-
 @overload
 async def render(render_type: Literal['v2/tetrio/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: TETRIORankData) -> str: ...
+@overload
+async def render(render_type: Literal['v2/tetrio/rank/detail'], data: TETRIORankDetailData) -> str: ...
 
 
 async def render(
@@ -60,6 +52,8 @@ async def render(
         'v2/tetrio/user/list',
         'v2/tetrio/record/40l',
         'v2/tetrio/record/blitz',
+        'v2/tetrio/rank',
+        'v2/tetrio/rank/detail',
     ],
     data: Bind
     | TETRIOInfo
@@ -68,7 +62,9 @@ async def render(
     | TETRIOUserInfoV2
     | TETRIOUserListV2
     | TETRIORecordSprint
-    | TETRIORecordBlitz,
+    | TETRIORecordBlitz
+    | TETRIORankData
+    | TETRIORankDetailData,
 ) -> str:
     if PYDANTIC_V2:
         return await env.get_template('index.html').render_async(

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio/tetrio_rank.py

@@ -0,0 +1,25 @@
+from datetime import datetime
+
+from pydantic import BaseModel
+
+from .....games.tetrio.api.typing import ValidRank
+
+
+class AverageData(BaseModel):
+    pps: float
+    apm: float
+    apl: float
+    vs: float
+    adpl: float
+
+
+class ItemData(BaseModel):
+    require_tr: float
+    trending: float
+    average_data: AverageData
+    players: int
+
+
+class Data(BaseModel):
+    items: dict[ValidRank, ItemData]
+    updated_at: datetime

nonebot_plugin_tetris_stats/utils/render/schemas/tetrio/tetrio_rank_detail.py

@@ -0,0 +1,31 @@
+from datetime import datetime
+
+from pydantic import BaseModel
+
+from .....games.tetrio.api.typing import ValidRank
+
+
+class SpecialData(BaseModel):
+    apm: float
+    pps: float
+    lpm: float
+    vs: float
+    adpm: float
+    apl: float | None = None
+    adpl: float | None = None
+    apm_holder: str | None = None
+    pps_holder: str | None = None
+    vs_holder: str | None = None
+
+
+class Data(BaseModel):
+    name: ValidRank
+    trending: float
+    require_tr: float
+    players: int
+
+    minimum_data: SpecialData
+    average_data: SpecialData
+    maximum_data: SpecialData
+
+    updated_at: datetime

poetry.lock

@@ -254,13 +254,13 @@ zookeeper = ["kazoo"]
 
 [[package]]
 name = "arclet-alconna"
-version = "1.8.16"
+version = "1.8.19"
 description = "A High-performance, Generality, Humane Command Line Arguments Parser Library."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "arclet_alconna-1.8.16-py3-none-any.whl", hash = "sha256:b04241904d3f3a9d3eae30c5d1af7e264528b5a87b729fee5f408b2d93cef035"},
-    {file = "arclet_alconna-1.8.16.tar.gz", hash = "sha256:57bdc42c8626846ad536c19a24804790005554db4ad3300b7d4607c684cd25f3"},
+    {file = "arclet_alconna-1.8.19-py3-none-any.whl", hash = "sha256:c78d5527d8ea13990e96f996a3480bf236ad63b81114f53ce2c010bc2a0ee1d8"},
+    {file = "arclet_alconna-1.8.19.tar.gz", hash = "sha256:12064caad6854a4b00dc5b7376d86e15911072acd9278531bf86e4fb97568288"},
 ]
 
 [package.dependencies]
@@ -1224,13 +1224,9 @@ files = [
     {file = "lxml-5.2.2-cp36-cp36m-win_amd64.whl", hash = "sha256:edcfa83e03370032a489430215c1e7783128808fd3e2e0a3225deee278585196"},
     {file = "lxml-5.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:28bf95177400066596cdbcfc933312493799382879da504633d16cf60bba735b"},
     {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a745cc98d504d5bd2c19b10c79c61c7c3df9222629f1b6210c0368177589fb8"},
-    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b590b39ef90c6b22ec0be925b211298e810b4856909c8ca60d27ffbca6c12e6"},
     {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b336b0416828022bfd5a2e3083e7f5ba54b96242159f83c7e3eebaec752f1716"},
-    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:c2faf60c583af0d135e853c86ac2735ce178f0e338a3c7f9ae8f622fd2eb788c"},
     {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:4bc6cb140a7a0ad1f7bc37e018d0ed690b7b6520ade518285dc3171f7a117905"},
-    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7ff762670cada8e05b32bf1e4dc50b140790909caa8303cfddc4d702b71ea184"},
     {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:57f0a0bbc9868e10ebe874e9f129d2917750adf008fe7b9c1598c0fbbfdde6a6"},
-    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:a6d2092797b388342c1bc932077ad232f914351932353e2e8706851c870bca1f"},
     {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:60499fe961b21264e17a471ec296dcbf4365fbea611bf9e303ab69db7159ce61"},
     {file = "lxml-5.2.2-cp37-cp37m-win32.whl", hash = "sha256:d9b342c76003c6b9336a80efcc766748a333573abf9350f4094ee46b006ec18f"},
     {file = "lxml-5.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:b16db2770517b8799c79aa80f4053cd6f8b716f21f8aca962725a9565ce3ee40"},
@@ -1706,13 +1702,13 @@ typing-extensions = ">=4.8.0,<5.0.0"
 
 [[package]]
 name = "nonebot-adapter-onebot"
-version = "2.4.3"
+version = "2.4.4"
 description = "OneBot(CQHTTP) adapter for nonebot2"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "nonebot_adapter_onebot-2.4.3-py3-none-any.whl", hash = "sha256:e3a38695653226b39d50d1f4f0c4283c63a0a083a07db15d3fc1857fe0f0fa61"},
-    {file = "nonebot_adapter_onebot-2.4.3.tar.gz", hash = "sha256:7a1a9476ce1814eb11599ffcae770c66401e7e8cbec626eb84ed5617d0223020"},
+    {file = "nonebot_adapter_onebot-2.4.4-py3-none-any.whl", hash = "sha256:4dceeec7332bb560652c764405e9dd350268303f69b7c0e92b7cfebe876e8d39"},
+    {file = "nonebot_adapter_onebot-2.4.4.tar.gz", hash = "sha256:c8a3645f74a3e43c85f092fb670508c662c36831f019a15e4d74eaac686089f0"},
 ]
 
 [package.dependencies]
@@ -1754,13 +1750,13 @@ nonebot2 = ">=2.3.0"
 
 [[package]]
 name = "nonebot-plugin-alconna"
-version = "0.48.0"
+version = "0.49.0"
 description = "Alconna Adapter for Nonebot"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "nonebot_plugin_alconna-0.48.0-py3-none-any.whl", hash = "sha256:02dcdca744934368246d48373393bcd475d7e4c7182a56a777b0bc45586d557a"},
-    {file = "nonebot_plugin_alconna-0.48.0.tar.gz", hash = "sha256:f5a8a3b9da42f3a6ef2b387d9b5194023178c135d03381b1aa60eead9363d6cc"},
+    {file = "nonebot_plugin_alconna-0.49.0-py3-none-any.whl", hash = "sha256:a9733a37c521373d9dd71752ab0e9cd2338c385ef9871c8e3f2ad178b2f1668f"},
+    {file = "nonebot_plugin_alconna-0.49.0.tar.gz", hash = "sha256:5060819b76d05c24d944e17b6a10de52e8821063d15220ab65083cda97c05706"},
 ]
 
 [package.dependencies]
@@ -1921,13 +1917,13 @@ nonebot2 = ">=2.3.0"
 
 [[package]]
 name = "nonebot2"
-version = "2.3.1"
+version = "2.3.2"
 description = "An asynchronous python bot framework."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "nonebot2-2.3.1-py3-none-any.whl", hash = "sha256:91ac0abebe6c403c2443b11a49e065b79e6199460bdd61a32148366b35f81c4d"},
-    {file = "nonebot2-2.3.1.tar.gz", hash = "sha256:ac5a1a1759f15310e9183b606ce6bdbe52a90287bf36a69201be548e23d41e6c"},
+    {file = "nonebot2-2.3.2-py3-none-any.whl", hash = "sha256:c51aa3c1f23d8062ce6d13c8423dcb9a8bf0c44f21687916095f825da79a9a55"},
+    {file = "nonebot2-2.3.2.tar.gz", hash = "sha256:af52e27e03e7fe147f2b642151eec81f264d058efe53b974eb08b5d90177cd14"},
 ]
 
 [package.dependencies]
@@ -2072,7 +2068,6 @@ optional = false
 python-versions = ">=3.9"
 files = [
     {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"},
-    {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"},
     {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"},
     {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"},
     {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"},
@@ -2093,7 +2088,6 @@ files = [
     {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"},
     {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"},
     {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"},
-    {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"},
     {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"},
     {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"},
     {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"},
@@ -2699,29 +2693,29 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
 [[package]]
 name = "ruff"
-version = "0.5.0"
+version = "0.5.2"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ruff-0.5.0-py3-none-linux_armv6l.whl", hash = "sha256:ee770ea8ab38918f34e7560a597cc0a8c9a193aaa01bfbd879ef43cb06bd9c4c"},
-    {file = "ruff-0.5.0-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:38f3b8327b3cb43474559d435f5fa65dacf723351c159ed0dc567f7ab735d1b6"},
-    {file = "ruff-0.5.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:7594f8df5404a5c5c8f64b8311169879f6cf42142da644c7e0ba3c3f14130370"},
-    {file = "ruff-0.5.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:adc7012d6ec85032bc4e9065110df205752d64010bed5f958d25dbee9ce35de3"},
-    {file = "ruff-0.5.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d505fb93b0fabef974b168d9b27c3960714d2ecda24b6ffa6a87ac432905ea38"},
-    {file = "ruff-0.5.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9dc5cfd3558f14513ed0d5b70ce531e28ea81a8a3b1b07f0f48421a3d9e7d80a"},
-    {file = "ruff-0.5.0-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:db3ca35265de239a1176d56a464b51557fce41095c37d6c406e658cf80bbb362"},
-    {file = "ruff-0.5.0-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b1a321c4f68809fddd9b282fab6a8d8db796b270fff44722589a8b946925a2a8"},
-    {file = "ruff-0.5.0-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2c4dfcd8d34b143916994b3876b63d53f56724c03f8c1a33a253b7b1e6bf2a7d"},
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 ]
 
 [package.dependencies]
@@ -3710,4 +3755,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "b430b98410ea10219b8a8888c470e1c114b81da18ecc59bdd4fe292e4402daac"
+content-hash = "e113b54aa85e884a536bdc47c71884ca21d31441f651b96a94ce3b400e9de1d5"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = 'nonebot-plugin-tetris-stats'
-version = '1.3.6'
+version = '1.4.0'
 description = '一款基于 NoneBot2 的用于查询 Tetris 相关游戏数据的插件'
 authors = ['scdhh <wallfjjd@gmail.com>']
 readme = 'README.md'
@@ -21,6 +21,7 @@ nonebot-plugin-user = ">=0.2,<0.4"
 nonebot-plugin-userinfo = "^0.2.4"
 aiocache = "^0.12.2"
 aiofiles = ">=23.2.1,<25.0.0"
+arclet-alconna = "^1.8.19"
 httpx = "^0.27.0"
 jinja2 = "^3.1.3"
 lxml = '^5.1.0'
@@ -29,7 +30,7 @@ pillow = "^10.3.0"
 playwright = '^1.41.2'
 rich = "^13.7.1"
 ujson = '^5.9.0'
-zstandard = "^0.22.0"
+zstandard = ">=0.22,<0.24"
 
 [tool.poetry.group.dev.dependencies]
 mypy = '>=1.9'