Compare commits

...

13 Commits

Author SHA1 Message Date
ccd5706a95 🔖 1.5.1 2024-08-26 11:43:51 +08:00
b69240caa5 👷 添加 Pyright 类型检查 2024-08-26 11:41:03 +08:00
49d00f4d0e 添加开发依赖 pyright 2024-08-26 11:38:44 +08:00
389a850025 🐛 修复打过但是没数据的爆炸
为啥会没数据??
2024-08-26 11:38:14 +08:00
20dcc2bc3d 🔖 1.5.0 2024-08-25 23:17:32 +08:00
606dddbca2 适配新赛季 list 2024-08-25 23:16:33 +08:00
f509b03cd0 🔖 1.4.18 2024-08-24 21:09:28 +08:00
6293d088db 适配新赛季 rank 2024-08-24 21:06:45 +08:00
97e2abed78 添加 debug 依赖 matplotlib pyqt6 2024-08-24 21:01:30 +08:00
dependabot[bot]
5ea3fcb234 ⬆️ Bump types-pillow from 10.2.0.20240520 to 10.2.0.20240822 (#409)
Bumps [types-pillow](https://github.com/python/typeshed) from 10.2.0.20240520 to 10.2.0.20240822.
- [Commits](https://github.com/python/typeshed/commits)

---
updated-dependencies:
- dependency-name: types-pillow
  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>
2024-08-22 19:37:03 +00:00
dependabot[bot]
ca33ba1310 ⬆️ Bump ruff from 0.6.1 to 0.6.2 (#408)
Bumps [ruff](https://github.com/astral-sh/ruff) from 0.6.1 to 0.6.2.
- [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/0.6.1...0.6.2)

---
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>
2024-08-23 03:34:57 +08:00
3629a2ff4a 🚨 make type checker happy 2024-08-22 01:14:59 +08:00
a2108c9776 localstore 使用 get_plugin_xxx_dir 2024-08-21 05:11:36 +08:00
34 changed files with 1402 additions and 262 deletions

View File

@@ -4,7 +4,7 @@ on:
push:
jobs:
Mypy:
TypeCheck:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
@@ -25,3 +25,8 @@ jobs:
shell: bash
run: |
poetry run mypy ./nonebot_plugin_tetris_stats
- name: Run Pyright
shell: bash
run: |
poetry run pyright ./nonebot_plugin_tetris_stats/

View File

@@ -1,9 +1,9 @@
from nonebot import get_plugin_config
from nonebot_plugin_localstore import get_cache_dir, get_data_dir
from nonebot_plugin_localstore import get_plugin_cache_dir, get_plugin_data_dir
from pydantic import BaseModel, Field
CACHE_PATH = get_cache_dir('nonebot_plugin_tetris_stats')
DATA_PATH = get_data_dir('nonebot_plugin_tetris_stats')
CACHE_PATH = get_plugin_cache_dir()
DATA_PATH = get_plugin_data_dir()
class Proxy(BaseModel):

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@@ -0,0 +1,119 @@
"""add TETRIOLeagueStats
迁移 ID: 5a1b93948494
父迁移: cfeab6961dce
创建时间: 2024-08-24 00:22:41.359500
"""
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 = '5a1b93948494'
down_revision: str | Sequence[str] | None = 'cfeab6961dce'
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_tetrioleaguestats',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('update_time', sa.DateTime(), nullable=False),
sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetrioleaguestats')),
info={'bind_key': 'nonebot_plugin_tetris_stats'},
)
with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguestats', schema=None) as batch_op:
batch_op.create_index(
batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguestats_update_time'), ['update_time'], unique=False
)
op.create_table(
'nonebot_plugin_tetris_stats_tetrioleaguehistorical',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('request_id', sa.Uuid(), nullable=False),
sa.Column('data', sa.JSON(), nullable=False),
sa.Column('update_time', sa.DateTime(), nullable=False),
sa.Column('stats_id', sa.Integer(), nullable=False),
sa.ForeignKeyConstraint(
['stats_id'],
['nonebot_plugin_tetris_stats_tetrioleaguestats.id'],
name=op.f(
'fk_nonebot_plugin_tetris_stats_tetrioleaguehistorical_stats_id_nonebot_plugin_tetris_stats_tetrioleaguestats'
),
),
sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetrioleaguehistorical')),
info={'bind_key': 'nonebot_plugin_tetris_stats'},
)
with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguehistorical', schema=None) as batch_op:
batch_op.create_index(
batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguehistorical_request_id'), ['request_id'], unique=False
)
batch_op.create_index(
batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguehistorical_update_time'),
['update_time'],
unique=False,
)
op.create_table(
'nonebot_plugin_tetris_stats_tetrioleaguestatsfield',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('rank', sa.String(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('stats_id', sa.Integer(), nullable=False),
sa.ForeignKeyConstraint(
['stats_id'],
['nonebot_plugin_tetris_stats_tetrioleaguestats.id'],
name=op.f(
'fk_nonebot_plugin_tetris_stats_tetrioleaguestatsfield_stats_id_nonebot_plugin_tetris_stats_tetrioleaguestats'
),
),
sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetrioleaguestatsfield')),
info={'bind_key': 'nonebot_plugin_tetris_stats'},
)
with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguestatsfield', schema=None) as batch_op:
batch_op.create_index(
batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguestatsfield_rank'), ['rank'], 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_tetrioleaguestatsfield', schema=None) as batch_op:
batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguestatsfield_rank'))
op.drop_table('nonebot_plugin_tetris_stats_tetrioleaguestatsfield')
with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguehistorical', schema=None) as batch_op:
batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguehistorical_update_time'))
batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguehistorical_request_id'))
op.drop_table('nonebot_plugin_tetris_stats_tetrioleaguehistorical')
with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguestats', schema=None) as batch_op:
batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguestats_update_time'))
op.drop_table('nonebot_plugin_tetris_stats_tetrioleaguestats')
# ### end Alembic commands ###

View File

@@ -23,7 +23,7 @@ command = Subcommand(
)
from . import bind, config, query, record # noqa: E402
from . import bind, config, list, query, rank, record # noqa: E402
main_command.add(command)
@@ -31,6 +31,8 @@ __all__ = [
'alc',
'bind',
'config',
'list',
'query',
'rank',
'record',
]

View File

@@ -1,6 +1,5 @@
from .player import Player
from .schemas.user import User
from .schemas.user_info import UserInfoSuccess
from .tetra_league import full_export as tetra_league_full_export
__all__ = ['Player', 'User', 'UserInfoSuccess', 'tetra_league_full_export']
__all__ = ['Player', 'User', 'UserInfoSuccess']

View File

@@ -22,13 +22,13 @@ class Cache:
task: ClassVar[WeakValueDictionary[URL, Lock]] = WeakValueDictionary()
@classmethod
async def get(cls, url: URL) -> bytes:
async def get(cls, url: URL, extra_headers: dict | None = None) -> bytes:
lock = cls.task.setdefault(url, Lock())
async with lock:
if (cached_data := await cls.cache.get(url)) is not None:
logger.debug(f'{url}: Cache hit!')
return cached_data
response_data = await request.request(url)
response_data = await request.request(url, extra_headers, enable_anti_cloudflare=True)
parsed_data: SuccessModel | FailedModel = type_validate_json(SuccessModel | FailedModel, response_data) # type: ignore[arg-type]
if isinstance(parsed_data, SuccessModel):
await cls.cache.add(

View File

@@ -0,0 +1,89 @@
from typing import Literal, overload
from uuid import UUID
from nonebot.compat import type_validate_json
from yarl import URL
from ....utils.exception import RequestError
from ..constant import BASE_URL
from .cache import Cache
from .schemas.base import FailedModel
from .schemas.leaderboards import Parameter
from .schemas.leaderboards.by import By, BySuccessModel
from .schemas.leaderboards.solo import Solo, SoloSuccessModel
from .schemas.leaderboards.zenith import Zenith, ZenithSuccessModel
async def by(
by_type: Literal['league', 'xp', 'ar'], parameter: Parameter, x_session_id: UUID | None = None
) -> BySuccessModel:
model: By = type_validate_json(
By, # type: ignore[arg-type]
await get(
BASE_URL / f'users/by/{by_type}',
parameter,
{'X-Session-ID': str(x_session_id)} if x_session_id is not None else None,
),
)
if isinstance(model, FailedModel):
msg = f'排行榜信息请求错误:\n{model.error}'
raise RequestError(msg)
return model
@overload
async def records(
records_type: Literal['40l', 'blitz'],
scope: str = '_global',
revolution_id: str | None = None,
*,
parameter: Parameter,
) -> SoloSuccessModel: ...
@overload
async def records(
records_type: Literal['zenith', 'zenithex'],
scope: str = '_global',
revolution_id: str | None = None,
*,
parameter: Parameter,
) -> ZenithSuccessModel: ...
async def records(
records_type: Literal['40l', 'blitz', 'zenith', 'zenithex'],
scope: str = '_global',
revolution_id: str | None = None,
*,
parameter: Parameter,
) -> SoloSuccessModel | ZenithSuccessModel:
model: Solo | Zenith
match records_type:
case '40l' | 'blitz':
model = type_validate_json(
Solo, # type: ignore[arg-type]
await get(
BASE_URL / 'records' / f'{records_type}{scope}{revolution_id if revolution_id is not None else ""}',
parameter,
),
)
case 'zenith' | 'zenithex':
model = type_validate_json(
Zenith, # type: ignore[arg-type]
await get(
BASE_URL / 'records' / f'{records_type}{scope}{revolution_id if revolution_id is not None else ""}',
parameter,
),
)
case _:
msg = f'records_type: {records_type} is not supported'
raise ValueError(msg)
if isinstance(model, FailedModel):
msg = f'排行榜信息请求错误:\n{model.error}' # type: ignore[attr-defined]
raise RequestError(msg)
return model
async def get(url: URL, parameter: Parameter, extra_headers: dict | None = None) -> bytes:
return await Cache.get(url % parameter.to_params(), extra_headers)

View File

@@ -1,7 +1,9 @@
from datetime import datetime
from typing import Literal
from pydantic import BaseModel
from pydantic import BaseModel, Field
from ...typing import Prisecter
class AggregateStats(BaseModel):
@@ -39,11 +41,29 @@ class Garbage(BaseModel):
cleared: int
class P(BaseModel): # what is P
class P(BaseModel):
pri: float
sec: float
ter: float
def to_prisecter(self) -> Prisecter:
return Prisecter(f'{self.pri}:{self.sec}:{self.ter}')
class ArCounts(BaseModel):
bronze: int | None = Field(default=None, alias='1')
silver: int | None = Field(default=None, alias='2')
gold: int | None = Field(default=None, alias='3')
platinum: int | None = Field(default=None, alias='4')
diamond: int | None = Field(default=None, alias='5')
issued: int | None = Field(default=None, alias='100')
top3: int | None = Field(default=None, alias='t3')
top5: int | None = Field(default=None, alias='t5')
top10: int | None = Field(default=None, alias='t10')
top25: int | None = Field(default=None, alias='t25')
top50: int | None = Field(default=None, alias='t50')
top100: int | None = Field(default=None, alias='t100')
class Cache(BaseModel):
status: str

View File

@@ -0,0 +1,15 @@
from typing import Any
from pydantic import BaseModel, Field
from ...typing import Prisecter
class Parameter(BaseModel):
after: Prisecter | None = None
before: Prisecter | None = None
limit: int = Field(default=25, ge=1, le=100)
country: str | None = None
def to_params(self) -> dict[str, Any]:
return self.model_dump(exclude_defaults=True)

View File

@@ -1,27 +0,0 @@
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

View File

@@ -1,30 +0,0 @@
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

View File

@@ -0,0 +1,50 @@
from datetime import datetime
from typing import Literal
from pydantic import BaseModel, Field
from ...typing import Rank, ValidRank
from ..base import ArCounts, FailedModel, P, SuccessModel
class League(BaseModel):
gamesplayed: int
gameswon: int
tr: float
gxe: float
rank: Rank
bestrank: ValidRank
glicko: float
rd: float
apm: float
pps: float
vs: float
decaying: bool
class Entry(BaseModel):
id: str = Field(..., alias='_id')
username: str
role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop']
ts: datetime | None = None
xp: float
country: str | None = None
supporter: bool | None = None
league: League
gamesplayed: int
gameswon: int
gametime: float
ar: int
ar_counts: ArCounts
p: P
class Data(BaseModel):
entries: list[Entry]
class BySuccessModel(SuccessModel):
data: Data
By = BySuccessModel | FailedModel

View File

@@ -1,6 +1,6 @@
from pydantic import BaseModel
from ..base import SuccessModel
from ..base import FailedModel, SuccessModel
from ..summaries.solo import Record
@@ -10,3 +10,6 @@ class Data(BaseModel):
class SoloSuccessModel(SuccessModel):
data: Data
Solo = SoloSuccessModel | FailedModel

View File

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

View File

@@ -1,6 +1,6 @@
from pydantic import BaseModel
from ..base import SuccessModel
from ..base import FailedModel, SuccessModel
from ..summaries.zenith import Record
@@ -10,3 +10,6 @@ class Data(BaseModel):
class ZenithSuccessModel(SuccessModel):
data: Data
Zenith = ZenithSuccessModel | FailedModel

View File

@@ -7,5 +7,4 @@ class User(BaseModel):
avatar_revision: int | None
banner_revision: int | None
country: str | None
verified: int | None = None
supporter: int

View File

@@ -1,10 +1,21 @@
from functools import partial
from typing import Literal
from nonebot.compat import PYDANTIC_V2
from pydantic import BaseModel, Field
from ...typing import Rank, S1Rank, S1ValidRank
from ..base import SuccessModel
if PYDANTIC_V2:
from pydantic import field_validator
custom_validator = partial(field_validator, mode='before')
else:
from pydantic import validator
custom_validator = partial(validator, pre=True, always=True) # type: ignore[assignment, arg-type]
class PastInner(BaseModel):
season: str
@@ -75,6 +86,13 @@ class NeverRatedData(BaseData):
percentile: Literal[-1]
percentile_rank: Literal['z']
@custom_validator('apm', 'pps', 'vs')
@classmethod
def _(cls, value: float | None) -> float:
if value is None:
return 0
return value
class RatedData(BaseData):
gamesplayed: int

View File

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

View File

@@ -3,7 +3,7 @@ from typing import Literal
from pydantic import BaseModel, Field
from .base import FailedModel
from .base import ArCounts, FailedModel
from .base import SuccessModel as BaseSuccessModel
@@ -14,13 +14,19 @@ class Badge(BaseModel):
ts: datetime | Literal[False] | None = None
class Discord(BaseModel):
class Connection(BaseModel):
id: str
username: str
display_username: str
class Connections(BaseModel):
discord: Discord | None = None
discord: Connection | None = None
twitch: Connection | None = None
twitter: Connection | None = None
reddit: Connection | None = None
youtube: Connection | None = None
steam: Connection | None = None
class Distinguishment(BaseModel):
@@ -28,9 +34,9 @@ class Distinguishment(BaseModel):
class Data(BaseModel):
id: str = Field(..., alias='_id')
id: str = Field(default=..., alias='_id')
username: str
role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'banned']
role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'hidden', 'banned']
ts: datetime | None = None
botmaster: str | None = None
badges: list[Badge]
@@ -42,7 +48,6 @@ class Data(BaseModel):
badstanding: bool | None = None
supporter: bool | None = None # osk说是必有, 但实际上不是 fkosk
supporter_tier: int
verified: bool | None = None
avatar_revision: int | None = None
"""This user's avatar ID. Get their avatar at
@@ -57,6 +62,9 @@ class Data(BaseModel):
connections: Connections
friend_count: int | None = None
distinguishment: Distinguishment | None = None
achievements: list[int]
ar: int
ar_counts: ArCounts
class UserInfoSuccess(BaseSuccessModel):

View File

@@ -1,55 +0,0 @@
from typing import Literal, NamedTuple, overload
from msgspec import Struct, to_builtins
from nonebot.compat import type_validate_json
from ....utils.exception import RequestError
from ..constant import BASE_URL
from .cache import Cache
from .schemas.base import FailedModel
from .schemas.tetra_league import TetraLeague, TetraLeagueSuccess
class Parameter(Struct, omit_defaults=True):
after: float | None = None
before: float | None = None
limit: int | None = None
country: str | None = None
async def leaderboard(parameter: Parameter | None = None) -> TetraLeagueSuccess:
league: TetraLeague = type_validate_json(
TetraLeague, # type: ignore[arg-type]
(await Cache.get(BASE_URL / 'users/lists/league' % to_builtins(parameter))),
)
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
@overload
async def full_export(*, with_original: Literal[False]) -> TetraLeagueSuccess: ...
@overload
async def full_export(*, with_original: Literal[True]) -> FullExport: ...
async def full_export(*, with_original: bool) -> TetraLeagueSuccess | FullExport:
full: TetraLeague = type_validate_json(
TetraLeague, # type: ignore[arg-type]
(data := await Cache.get(BASE_URL / 'users/lists/league/all')),
)
if isinstance(full, FailedModel):
msg = f'排行榜数据请求错误:\n{full.error}'
raise RequestError(msg)
if with_original:
return FullExport(full, data)
return full

View File

@@ -1,4 +1,4 @@
from typing import Literal
from typing import Literal, NewType
S1ValidRank = Literal[
'x+',
@@ -43,3 +43,5 @@ Records = Literal[
'blitz_recent',
'blitz_progression',
]
Prisecter = NewType('Prisecter', str)

View File

@@ -10,6 +10,7 @@ GAME_TYPE: Literal['IO'] = 'IO'
BASE_URL = URL('https://ch.tetr.io/api/')
RANK_PERCENTILE: dict[ValidRank, float] = {
'x+': 0.2,
'x': 1,
'u': 5,
'ss': 11,

View File

@@ -0,0 +1,90 @@
from nonebot_plugin_alconna import Args, Option, Subcommand
from nonebot_plugin_alconna.uniseg import UniMessage
from nonebot_plugin_session import EventSession
from nonebot_plugin_session_orm import get_session_persist_id # type: ignore[import-untyped]
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.user.list_v2 import List, TetraLeague, User
from ...utils.screenshot import screenshot
from .. import alc
from . import command
from .api.leaderboards import by
from .api.schemas.base import P
from .api.schemas.leaderboards import Parameter
from .constant import GAME_TYPE
command.add(
Subcommand(
'list',
Option('--max-tr', Args['max_tr', float], help_text='TR的上限'),
Option('--min-tr', Args['min_tr', float], help_text='TR的下限'),
Option('--limit', Args['limit', int], help_text='查询数量'),
Option('--country', Args['country', str], help_text='国家代码'),
help_text='查询 TETR.IO 段位排行榜',
)
)
@alc.assign('TETRIO.list')
async def _(
event_session: EventSession,
max_tr: float | None = None,
min_tr: float | None = None,
limit: int | None = None,
country: str | None = None,
):
async with trigger(
session_persist_id=await get_session_persist_id(event_session),
game_platform=GAME_TYPE,
command_type='list',
command_args=[
f'{key} {value}'
for key, value in zip(
('--max-tr', '--min-tr', '--limit', '--country'), (max_tr, min_tr, limit, country), strict=True
)
if value is not None
],
):
parameter = Parameter(
# ?: 似乎是只需要 pri 至少 league 榜的返回值只有 pri
after=P(pri=max_tr, sec=0, ter=0).to_prisecter() if max_tr is not None else None,
before=P(pri=min_tr, sec=0, ter=0).to_prisecter() if min_tr is not None else None,
limit=limit or 25,
country=country,
)
league = await by('league', parameter)
async with HostPage(
await render(
'v2/tetrio/user/list',
List(
show_index=True,
users=[
User(
id=i.id,
name=i.username.upper(),
avatar=f'https://tetr.io/user-content/avatars/{i.id}.jpg',
country=i.country,
tetra_league=TetraLeague(
rank=i.league.rank,
tr=round(i.league.tr, 2),
glicko=round(i.league.glicko, 2),
rd=round(i.league.rd, 2),
decaying=i.league.decaying,
pps=(metrics := get_metrics(pps=i.league.pps, apm=i.league.apm, vs=i.league.vs)).pps,
apm=metrics.apm,
apl=metrics.apl,
vs=metrics.vs,
adpl=metrics.adpl,
),
xp=i.xp,
join_at=None,
)
for i in league.data.entries
],
),
)
) as page_hash:
await UniMessage.image(raw=await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')).finish()

View File

@@ -1,10 +1,53 @@
from nonebot_plugin_orm import Model
from sqlalchemy import String
from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
from datetime import datetime
from uuid import UUID
from nonebot_plugin_orm import Model
from sqlalchemy import DateTime, ForeignKey, String
from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column, relationship
from ...db.models import PydanticType
from .api.schemas.leaderboards.by import BySuccessModel, Entry
from .api.typing import ValidRank
from .typing import Template
class TETRIOUserConfig(MappedAsDataclass, Model):
id: Mapped[int] = mapped_column(primary_key=True)
query_template: Mapped[Template] = mapped_column(String(2))
class TETRIOLeagueStats(MappedAsDataclass, Model):
id: Mapped[int] = mapped_column(init=False, primary_key=True)
raw: Mapped[list['TETRIOLeagueHistorical']] = relationship(back_populates='stats', lazy='noload')
fields: Mapped[list['TETRIOLeagueStatsField']] = relationship(back_populates='stats')
update_time: Mapped[datetime] = mapped_column(DateTime, index=True)
class TETRIOLeagueHistorical(MappedAsDataclass, Model):
id: Mapped[int] = mapped_column(init=False, primary_key=True)
request_id: Mapped[UUID] = mapped_column(index=True)
data: Mapped[BySuccessModel] = mapped_column(PydanticType([], {BySuccessModel}))
update_time: Mapped[datetime] = mapped_column(DateTime, index=True)
stats_id: Mapped[int] = mapped_column(ForeignKey('nonebot_plugin_tetris_stats_tetrioleaguestats.id'), init=False)
stats: Mapped['TETRIOLeagueStats'] = relationship(back_populates='raw')
entry_type = PydanticType([], {Entry})
class TETRIOLeagueStatsField(MappedAsDataclass, Model):
id: Mapped[int] = mapped_column(init=False, primary_key=True)
rank: Mapped[ValidRank] = mapped_column(String(2), index=True)
tr_line: Mapped[float]
player_count: Mapped[int]
low_pps: Mapped[Entry] = mapped_column(entry_type)
low_apm: Mapped[Entry] = mapped_column(entry_type)
low_vs: Mapped[Entry] = mapped_column(entry_type)
avg_pps: Mapped[float]
avg_apm: Mapped[float]
avg_vs: Mapped[float]
high_pps: Mapped[Entry] = mapped_column(entry_type)
high_apm: Mapped[Entry] = mapped_column(entry_type)
high_vs: Mapped[Entry] = mapped_column(entry_type)
stats_id: Mapped[int] = mapped_column(ForeignKey('nonebot_plugin_tetris_stats_tetrioleaguestats.id'), init=False)
stats: Mapped['TETRIOLeagueStats'] = relationship(back_populates='fields')

View File

@@ -1,7 +1,7 @@
from asyncio import gather
from datetime import datetime, timedelta, timezone
from hashlib import md5
from typing import TYPE_CHECKING, TypeVar
from typing import TypeVar
from arclet.alconna import Arg, ArgFlag
from nonebot import get_driver
@@ -39,16 +39,11 @@ from .. import add_block_handlers, alc
from ..constant import CANT_VERIFY_MESSAGE
from . import command, get_player
from .api import Player
from .api.schemas.summaries.league import LeagueSuccessModel, NeverPlayedData, NeverRatedData
from .api.schemas.summaries.league import NeverPlayedData, NeverRatedData
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.user import User
from .api.schemas.user_info import UserInfoSuccess
UTC = timezone.utc
driver = get_driver()
@@ -154,26 +149,13 @@ def handling_special_value(value: N) -> N | None:
async def make_query_image_v2(player: Player) -> bytes:
user: User
user_info: UserInfoSuccess
league: LeagueSuccessModel
sprint: SoloSuccessModel
blitz: SoloSuccessModel
zen: ZenSuccessModel
avatar_revision: int | None
banner_revision: int | None
# TODO)) 有没有什么办法能让这类型推导成功)
user, user_info, 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,
(
(user, user_info, league, sprint, blitz, zen),
(avatar_revision, banner_revision),
) = await gather(
gather(player.user, player.get_info(), player.league, player.sprint, player.blitz, player.zen),
gather(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
@@ -227,7 +209,6 @@ async def make_query_image_v2(player: Player) -> bytes:
friend_count=user_info.data.friend_count,
supporter_tier=user_info.data.supporter_tier,
bad_standing=user_info.data.badstanding or False,
verified=user_info.data.verified or False,
playtime=play_time,
join_at=user_info.data.ts,
),

View File

@@ -0,0 +1,154 @@
from collections import defaultdict
from collections.abc import Callable, Sequence
from datetime import datetime, timedelta, timezone
from math import floor
from statistics import mean
from typing import TYPE_CHECKING
from uuid import uuid4
from nonebot import get_driver
from nonebot_plugin_alconna import Subcommand
from nonebot_plugin_apscheduler import scheduler
from nonebot_plugin_orm import get_session
from sqlalchemy import select
from ....utils.exception import RequestError
from ....utils.limit import limit
from ....utils.retry import retry
from .. import alc
from .. import command as base_command
from ..api.leaderboards import by
from ..api.schemas.base import P
from ..api.schemas.leaderboards import Parameter
from ..api.schemas.leaderboards.by import Entry
from ..constant import RANK_PERCENTILE
from ..models import TETRIOLeagueHistorical, TETRIOLeagueStats, TETRIOLeagueStatsField
if TYPE_CHECKING:
from ..api.schemas.leaderboards.by import BySuccessModel
from ..api.typing import Rank
UTC = timezone.utc
driver = get_driver()
command = Subcommand('rank', help_text='查询 TETR.IO 段位信息')
def wrapper(slot: int | str, content: str | None) -> str | None:
if slot == 'rank' and not content:
return '--all'
if content is not None:
return f'--detail {content.lower()}'
return content
alc.shortcut(
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=wrapper,
)
def _pps(user: Entry) -> float:
return user.league.pps
def _apm(user: Entry) -> float:
return user.league.apm
def _vs(user: Entry) -> float:
return user.league.vs
def _min(users: Sequence[Entry], field: Callable[[Entry], float]) -> Entry:
return min(users, key=field)
def _max(users: Sequence[Entry], field: Callable[[Entry], float]) -> Entry:
return max(users, key=field)
def find_special_player(
users: Sequence[Entry],
field: Callable[[Entry], float],
sort: Callable[[Sequence[Entry], Callable[[Entry], float]], Entry],
) -> Entry:
return sort(users, field)
@scheduler.scheduled_job('cron', hour='0,6,12,18', minute=0)
async def get_tetra_league_data() -> None:
x_session_id = uuid4()
limit_by = retry(max_attempts=10, exception_type=RequestError)(limit(timedelta(seconds=1))(by))
prisecter = P(pri=9007199254740991, sec=9007199254740991, ter=9007199254740991) # * from ch.tetr.io
results: list[BySuccessModel] = []
while True:
model = await limit_by('league', Parameter(after=prisecter.to_prisecter(), limit=100), x_session_id)
prisecter = model.data.entries[-1].p
results.append(model)
if len(model.data.entries) < 100: # 分页值 # noqa: PLR2004
break
players: list[Entry] = []
for result in results:
players.extend(result.data.entries)
players.sort(key=lambda x: x.league.tr, reverse=True)
rank_player_mapping: defaultdict[Rank, list[Entry]] = defaultdict(list)
for player in players:
rank_player_mapping[player.league.rank].append(player)
stats = TETRIOLeagueStats(raw=[], fields=[], update_time=datetime.now(UTC))
fields: list[TETRIOLeagueStatsField] = []
for rank, percentile in RANK_PERCENTILE.items():
offset = floor((percentile / 100) * len(players)) - 1
tr_line = players[offset].league.tr
rank_players = rank_player_mapping[rank]
fields.append(
TETRIOLeagueStatsField(
rank=rank,
tr_line=tr_line,
player_count=len(rank_players),
low_pps=find_special_player(rank_players, _pps, _min),
low_apm=find_special_player(rank_players, _apm, _min),
low_vs=find_special_player(rank_players, _vs, _min),
avg_pps=mean(_pps(i) for i in rank_players),
avg_apm=mean(_apm(i) for i in rank_players),
avg_vs=mean(_vs(i) for i in rank_players),
high_pps=find_special_player(rank_players, _pps, _max),
high_apm=find_special_player(rank_players, _apm, _max),
high_vs=find_special_player(rank_players, _vs, _max),
stats=stats,
)
)
historicals = [
TETRIOLeagueHistorical(request_id=x_session_id, data=model, update_time=model.cache.cached_at, stats=stats)
for model in results
]
stats.raw = historicals
stats.fields = fields
async with get_session() as session:
session.add(stats)
await session.commit()
@driver.on_startup
async def _() -> None:
async with get_session() as session:
latest_time = await session.scalar(
select(TETRIOLeagueStats.update_time).order_by(TETRIOLeagueStats.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
base_command.add(command)
__all__ = ['all', 'detail']

View File

@@ -0,0 +1,115 @@
from datetime import timedelta
from arclet.alconna import Arg
from nonebot_plugin_alconna import Option, Subcommand, 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 sqlalchemy import func, select
from sqlalchemy.orm import selectinload
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.rank.v1 import Data as DataV1
from ....utils.render.schemas.tetrio.rank.v1 import ItemData as ItemDataV1
from ....utils.render.schemas.tetrio.rank.v2 import AverageData as AverageDataV2
from ....utils.render.schemas.tetrio.rank.v2 import Data as DataV2
from ....utils.render.schemas.tetrio.rank.v2 import ItemData as ItemDataV2
from ....utils.screenshot import screenshot
from .. import alc
from ..constant import GAME_TYPE
from ..models import TETRIOLeagueStats
from ..typing import Template
from . import command
command.add(
Subcommand(
'--all', Option('--template', Arg('template', Template), alias=['-T'], help_text='要使用的查询模板'), dest='all'
)
)
@alc.assign('TETRIO.rank.all')
async def _(event_session: EventSession, template: Template = 'v1'):
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_data = (
await session.scalars(
select(TETRIOLeagueStats)
.order_by(TETRIOLeagueStats.id.desc())
.limit(1)
.options(selectinload(TETRIOLeagueStats.fields))
)
).one()
compare_data = (
await session.scalars(
select(TETRIOLeagueStats)
.order_by(
func.abs(
func.julianday(TETRIOLeagueStats.update_time)
- func.julianday(latest_data.update_time - timedelta(hours=24))
)
)
.limit(1)
.options(selectinload(TETRIOLeagueStats.fields))
)
).one()
match template:
case 'v1':
await UniMessage.image(raw=await make_image_v1(latest_data, compare_data)).finish()
case 'v2':
await UniMessage.image(raw=await make_image_v2(latest_data, compare_data)).finish()
async def make_image_v1(latest_data: TETRIOLeagueStats, compare_data: TETRIOLeagueStats) -> bytes:
async with HostPage(
await render(
'v1/tetrio/rank',
DataV1(
items={
i[0].rank: ItemDataV1(
trending=round(i[0].tr_line - i[1].tr_line, 2),
require_tr=round(i[0].tr_line, 2),
players=i[0].player_count,
)
for i in zip(latest_data.fields, compare_data.fields, strict=True)
},
updated_at=latest_data.update_time,
),
)
) as page_hash:
return await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
async def make_image_v2(latest_data: TETRIOLeagueStats, compare_data: TETRIOLeagueStats) -> bytes:
async with HostPage(
await render(
'v2/tetrio/rank',
DataV2(
items={
i[0].rank: ItemDataV2(
require_tr=round(i[0].tr_line, 2),
trending=round(i[0].tr_line - i[1].tr_line, 2),
average_data=AverageDataV2(
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.fields, compare_data.fields, strict=True)
},
updated_at=latest_data.update_time,
),
)
) as page_hash:
return await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')

View File

@@ -0,0 +1,128 @@
from datetime import timedelta, timezone
from zoneinfo import ZoneInfo
from arclet.alconna import Arg
from nonebot import get_driver
from nonebot_plugin_alconna import Option, 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 sqlalchemy import func, select
from sqlalchemy.orm import selectinload
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.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 TETRIOLeagueStats
from . import command
UTC = timezone.utc
driver = get_driver()
command.add(Option('--detail', Arg('rank', ValidRank), alias=['-D']))
@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(TETRIOLeagueStats)
.order_by(TETRIOLeagueStats.id.desc())
.limit(1)
.options(selectinload(TETRIOLeagueStats.fields))
)
).one()
compare_data = (
await session.scalars(
select(TETRIOLeagueStats)
.order_by(
func.abs(
func.julianday(TETRIOLeagueStats.update_time)
- func.julianday(latest_data.update_time - timedelta(hours=24))
)
)
.limit(1)
.options(selectinload(TETRIOLeagueStats.fields))
)
).one()
await UniMessage.image(
raw=await make_image(
rank,
latest_data,
compare_data,
)
).finish()
async def make_image(rank: ValidRank, latest: TETRIOLeagueStats, compare: TETRIOLeagueStats) -> bytes:
latest_data = next(filter(lambda x: x.rank == rank, latest.fields))
compare_data = next(filter(lambda x: x.rank == rank, compare.fields))
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.league.pps, apm=latest_data.low_pps.league.apm, vs=latest_data.low_pps.league.vs
)
low_apm = get_metrics(
pps=latest_data.low_apm.league.pps, apm=latest_data.low_apm.league.apm, vs=latest_data.low_apm.league.vs
)
low_vs = get_metrics(
pps=latest_data.low_vs.league.pps, apm=latest_data.low_vs.league.apm, vs=latest_data.low_vs.league.vs
)
max_pps = get_metrics(
pps=latest_data.high_pps.league.pps, apm=latest_data.high_pps.league.apm, vs=latest_data.high_pps.league.vs
)
max_apm = get_metrics(
pps=latest_data.high_apm.league.pps, apm=latest_data.high_apm.league.apm, vs=latest_data.high_apm.league.vs
)
max_vs = get_metrics(
pps=latest_data.high_vs.league.pps, apm=latest_data.high_vs.league.apm, vs=latest_data.high_vs.league.vs
)
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=low_apm.apm,
pps=low_pps.pps,
lpm=low_pps.lpm,
vs=low_vs.vs,
adpm=low_vs.adpm,
apm_holder=latest_data.low_apm.username.upper(),
pps_holder=latest_data.low_pps.username.upper(),
vs_holder=latest_data.low_vs.username.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=max_apm.apm,
pps=max_pps.pps,
lpm=max_pps.lpm,
vs=max_vs.vs,
adpm=max_vs.adpm,
apm_holder=latest_data.high_apm.username.upper(),
pps_holder=latest_data.high_pps.username.upper(),
vs_holder=latest_data.high_vs.username.upper(),
),
updated_at=latest.update_time.replace(tzinfo=UTC).astimezone(ZoneInfo('Asia/Shanghai')),
),
)
) as page_hash:
return await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')

View File

@@ -0,0 +1,33 @@
from asyncio import Lock, sleep
from collections.abc import Callable, Coroutine
from datetime import timedelta
from functools import wraps
from time import time
from typing import Any, ParamSpec, TypeVar
from nonebot.log import logger
P = ParamSpec('P')
T = TypeVar('T')
def limit(limit: timedelta) -> Callable[[Callable[P, Coroutine[Any, Any, T]]], Callable[P, Coroutine[Any, Any, T]]]:
limit_seconds = limit.total_seconds()
def decorator(func: Callable[P, Coroutine[Any, Any, T]]) -> Callable[P, Coroutine[Any, Any, T]]:
last_call = 0.0
lock = Lock()
@wraps(func)
async def wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
nonlocal last_call
async with lock:
if (diff := (time() - last_call)) < limit_seconds:
logger.debug(f'request limit {(limit_time:=limit_seconds-diff)}s')
await sleep(limit_time)
last_call = time()
return await func(*args, **kwargs)
return wrapper
return decorator

View File

@@ -21,7 +21,7 @@ class User(BaseModel):
name: str
country: str | None
role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'banned']
role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'hidden', 'banned']
avatar: str | Avatar
banner: str | None
@@ -31,7 +31,6 @@ class User(BaseModel):
friend_count: int | None
supporter_tier: int
verified: bool
bad_standing: bool
badges: list[Badge]

View File

@@ -26,7 +26,6 @@ class User(BaseModel):
name: str
avatar: str | Avatar
country: str | None
verified: bool
tetra_league: TetraLeague
xp: Number
join_at: datetime | None

View File

@@ -117,6 +117,7 @@ class Request:
async def request(
self,
url: URL,
extra_headers: dict | None = None,
*,
is_json: bool = True,
enable_anti_cloudflare: bool = False,
@@ -128,6 +129,7 @@ class Request:
else:
cookies = None
headers = None
headers = headers if extra_headers is None else extra_headers if headers is None else headers | extra_headers
try:
async with AsyncClient(cookies=cookies, timeout=config.tetris.request_timeout, proxy=self.proxy) as session:
response = await session.get(str(url), headers=headers)

483
poetry.lock generated
View File

@@ -595,6 +595,69 @@ files = [
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "contourpy"
version = "1.2.1"
description = "Python library for calculating contours of 2D quadrilateral grids"
optional = false
python-versions = ">=3.9"
files = [
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i18n = ["Babel (>=2.7)"]
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optional = false
python-versions = ">=3.7"
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nodeenv = ">=1.6.0"
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all = ["twine (>=3.4.1)"]
dev = ["twine (>=3.4.1)"]
[[package]]
name = "python-dateutil"
version = "2.9.0.post0"
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[[package]]
name = "ruff"
version = "0.6.1"
version = "0.6.2"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
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name = "types-pillow"
version = "10.2.0.20240520"
version = "10.2.0.20240822"
description = "Typing stubs for Pillow"
optional = false
python-versions = ">=3.8"
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lock-version = "2.0"
python-versions = "^3.10"
content-hash = "3126e56a799e58845cb01c95413f34978cd49c250962f6eba9346302471ff67a"
content-hash = "07cf3b7a6ef196c9c5d17cef50c2da1abf2a6dc0ee66a6091edb17eb9327789f"

View File

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[tool.poetry]
name = 'nonebot-plugin-tetris-stats'
version = '1.4.17'
version = '1.5.1'
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'
@@ -35,12 +35,13 @@ zstandard = '>=0.22,<0.24'
[tool.poetry.group.dev.dependencies]
mypy = '>=1.9'
pandas-stubs = '>=1.5.2,<3.0.0'
pyright = "^1.1.377"
ruff = '>=0.3.0'
types-aiofiles = '>=23.2.0.20240106,<25.0.0.0'
types-lxml = '^2024.2.9'
types-pillow = '^10.2.0.20240423'
types-ujson = '^5.9.0'
pandas-stubs = '>=1.5.2,<3.0.0'
nonebot2 = { extras = ['all'], version = '^2.3.0' }
nonebot-adapter-discord = '^0.1.3'
nonebot-adapter-kaiheila = '^0.3.4'
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nonebot-plugin-orm = { extras = ['default'], version = '>=0.3,<0.8' }
[tool.poetry.group.debug.dependencies]
matplotlib = "^3.9.2"
memory-profiler = '^0.61.0'
objprint = '^0.2.2'
pyqt6 = "^6.7.1"
viztracer = '^0.16.2'
[build-system]
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[tool.ruff.format]
quote-style = 'single'
[tool.pyright]
pythonVersion = "3.10"
pythonPlatform = "All"
defineConstant = { PYDANTIC_V2 = true }
typeCheckingMode = "standard"
[tool.nonebot]
plugins = ['nonebot_plugin_tetris_stats']