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6
.github/workflows/TypeCheck.yml
vendored
6
.github/workflows/TypeCheck.yml
vendored
@@ -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
|
||||
|
||||
2
.gitignore
vendored
2
.gitignore
vendored
@@ -20,3 +20,5 @@ bot.py
|
||||
TODO
|
||||
*.fish
|
||||
extracted_skin_mino_*
|
||||
sample_*
|
||||
TODO*
|
||||
|
||||
10
README.md
10
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>
|
||||
|
||||
@@ -1,14 +1,19 @@
|
||||
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_orm')
|
||||
require('nonebot_plugin_session')
|
||||
require('nonebot_plugin_user')
|
||||
require('nonebot_plugin_userinfo')
|
||||
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',
|
||||
}
|
||||
|
||||
for i in require_plugins:
|
||||
require(i)
|
||||
|
||||
from nonebot_plugin_alconna import namespace # noqa: E402
|
||||
|
||||
@@ -16,6 +21,7 @@ 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',
|
||||
@@ -23,6 +29,8 @@ __plugin_meta__ = PluginMetadata(
|
||||
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,
|
||||
},
|
||||
|
||||
@@ -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)
|
||||
@@ -3,9 +3,12 @@ from nonebot_plugin_alconna import At
|
||||
|
||||
from ...utils.exception import MessageFormatError
|
||||
from ...utils.typing import Me
|
||||
from .. import add_block_handlers, alc, command
|
||||
|
||||
# from .. import add_block_handlers, alc, command
|
||||
from .. import alc, command
|
||||
from .api import Player
|
||||
from .api.typing import ValidRank
|
||||
|
||||
# from .api.typing import ValidRank
|
||||
from .constant import USER_ID, USER_NAME
|
||||
from .typing import Template
|
||||
|
||||
@@ -33,30 +36,30 @@ command.add(
|
||||
),
|
||||
help_text='绑定 TETR.IO 账号',
|
||||
),
|
||||
Subcommand(
|
||||
'query',
|
||||
Args(
|
||||
Arg(
|
||||
'target',
|
||||
At | Me,
|
||||
notice='@想要查询的人 / 自己',
|
||||
flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
|
||||
),
|
||||
Arg(
|
||||
'account',
|
||||
get_player,
|
||||
notice='TETR.IO 用户名 / ID',
|
||||
flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
|
||||
),
|
||||
),
|
||||
Option(
|
||||
'--template',
|
||||
Arg('template', Template),
|
||||
alias=['-T'],
|
||||
help_text='要使用的查询模板',
|
||||
),
|
||||
help_text='查询 TETR.IO 游戏信息',
|
||||
),
|
||||
# Subcommand(
|
||||
# 'query',
|
||||
# Args(
|
||||
# Arg(
|
||||
# 'target',
|
||||
# At | Me,
|
||||
# notice='@想要查询的人 / 自己',
|
||||
# flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
|
||||
# ),
|
||||
# Arg(
|
||||
# 'account',
|
||||
# get_player,
|
||||
# notice='TETR.IO 用户名 / ID',
|
||||
# flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
|
||||
# ),
|
||||
# ),
|
||||
# Option(
|
||||
# '--template',
|
||||
# Arg('template', Template),
|
||||
# alias=['-T'],
|
||||
# help_text='要使用的查询模板',
|
||||
# ),
|
||||
# help_text='查询 TETR.IO 游戏信息',
|
||||
# ),
|
||||
Subcommand(
|
||||
'record',
|
||||
Option(
|
||||
@@ -82,19 +85,33 @@ command.add(
|
||||
),
|
||||
),
|
||||
),
|
||||
Subcommand(
|
||||
'list',
|
||||
Option('--max-tr', Arg('max_tr', float), help_text='TR的上限'),
|
||||
Option('--min-tr', Arg('min_tr', float), help_text='TR的下限'),
|
||||
Option('--limit', Arg('limit', int), help_text='查询数量'),
|
||||
Option('--country', Arg('country', str), help_text='国家代码'),
|
||||
help_text='查询 TETR.IO 段位排行榜',
|
||||
),
|
||||
Subcommand(
|
||||
'rank',
|
||||
Args(Arg('rank', ValidRank, notice='TETR.IO 段位')),
|
||||
help_text='查询 TETR.IO 段位信息',
|
||||
),
|
||||
# Subcommand(
|
||||
# 'list',
|
||||
# Option('--max-tr', Arg('max_tr', float), help_text='TR的上限'),
|
||||
# Option('--min-tr', Arg('min_tr', float), help_text='TR的下限'),
|
||||
# Option('--limit', Arg('limit', int), help_text='查询数量'),
|
||||
# Option('--country', Arg('country', str), help_text='国家代码'),
|
||||
# help_text='查询 TETR.IO 段位排行榜',
|
||||
# ),
|
||||
# Subcommand(
|
||||
# 'rank',
|
||||
# Subcommand(
|
||||
# '--all',
|
||||
# Option(
|
||||
# '--template',
|
||||
# Arg('template', Template),
|
||||
# alias=['-T'],
|
||||
# help_text='要使用的查询模板',
|
||||
# ),
|
||||
# dest='all',
|
||||
# ),
|
||||
# Option(
|
||||
# '--detail',
|
||||
# Arg('rank', ValidRank),
|
||||
# alias=['-D'],
|
||||
# ),
|
||||
# help_text='查询 TETR.IO 段位信息',
|
||||
# ),
|
||||
Subcommand(
|
||||
'config',
|
||||
Option(
|
||||
@@ -103,73 +120,72 @@ command.add(
|
||||
alias=['-DT', 'DefaultTemplate'],
|
||||
),
|
||||
),
|
||||
alias=['TETRIO', 'tetr.io', 'tetrio', 'io'],
|
||||
dest='TETRIO',
|
||||
help_text='TETR.IO 游戏相关指令',
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
# 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',
|
||||
},
|
||||
)
|
||||
alc.shortcut(
|
||||
'(?i:io)(?i:查询|查|query|stats)',
|
||||
{
|
||||
'command': 'tstats TETR.IO query',
|
||||
'humanized': 'io查',
|
||||
},
|
||||
command='tstats TETR.IO bind',
|
||||
humanized='io绑定',
|
||||
)
|
||||
# alc.shortcut(
|
||||
# '(?i:io)(?i:查询|查|query|stats)',
|
||||
# command='tstats TETR.IO query',
|
||||
# humanized='io查',
|
||||
# )
|
||||
alc.shortcut(
|
||||
'(?i:io)(?i:记录|record)(?i:40l)',
|
||||
{
|
||||
'command': 'tstats TETR.IO record --40l',
|
||||
'humanized': 'io记录40l',
|
||||
},
|
||||
command='tstats TETR.IO record --40l',
|
||||
humanized='io记录40l',
|
||||
)
|
||||
alc.shortcut(
|
||||
'(?i:io)(?i:记录|record)(?i:blitz)',
|
||||
{
|
||||
'command': 'tstats TETR.IO record --blitz',
|
||||
'humanized': 'io记录blitz',
|
||||
},
|
||||
)
|
||||
alc.shortcut(
|
||||
'(?i:io)(?i:段位|段|rank)',
|
||||
{
|
||||
'command': 'tstats TETR.IO rank',
|
||||
'humanized': 'iorank',
|
||||
},
|
||||
command='tstats TETR.IO record --blitz',
|
||||
humanized='io记录blitz',
|
||||
)
|
||||
# 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=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!',
|
||||
},
|
||||
)
|
||||
# alc.shortcut(
|
||||
# 'fkosk',
|
||||
# command='tstats TETR.IO query',
|
||||
# arguments=['我'],
|
||||
# fuzzy=False,
|
||||
# humanized='An Easter egg!',
|
||||
# )
|
||||
|
||||
add_block_handlers(alc.assign('TETRIO.query'))
|
||||
# add_block_handlers(alc.assign('TETRIO.query'))
|
||||
|
||||
from . import bind, config, list, query, rank, record # noqa: E402
|
||||
# from . import bind, config, list, query, rank, record
|
||||
from . import bind, config, record # noqa: E402
|
||||
|
||||
__all__ = [
|
||||
'bind',
|
||||
'config',
|
||||
'list',
|
||||
'query',
|
||||
'rank',
|
||||
# 'list',
|
||||
# 'query',
|
||||
# 'rank',
|
||||
'record',
|
||||
]
|
||||
|
||||
@@ -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 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', Summaries]] = mapped_column(String(16), index=True)
|
||||
data: Mapped[SuccessModel] = mapped_column(PydanticType(get_model=[SuccessModel.__subclasses__], models=set()))
|
||||
update_time: Mapped[datetime] = mapped_column(DateTime, index=True)
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
from typing import overload
|
||||
from types import MappingProxyType
|
||||
from typing import Literal, overload
|
||||
|
||||
from async_lru import alru_cache
|
||||
from nonebot.compat import type_validate_json
|
||||
|
||||
from ....db import anti_duplicate_add
|
||||
@@ -9,12 +11,31 @@ from ..constant import BASE_URL, USER_ID, USER_NAME
|
||||
from .cache import Cache
|
||||
from .models import TETRIOHistoricalData
|
||||
from .schemas.base import FailedModel
|
||||
from .schemas.summaries import (
|
||||
AchievementsSuccessModel,
|
||||
SoloSuccessModel,
|
||||
SummariesModel,
|
||||
ZenithSuccessModel,
|
||||
ZenSuccessModel,
|
||||
)
|
||||
from .schemas.summaries.base import User as SummariesUser
|
||||
from .schemas.user import User
|
||||
from .schemas.user_info import UserInfo, UserInfoSuccess
|
||||
from .schemas.user_records import SoloModeRecord, UserRecords, UserRecordsSuccess, Zen
|
||||
from .typing import Summaries
|
||||
|
||||
|
||||
class Player:
|
||||
__SUMMARIES_MAPPING: MappingProxyType[Summaries, type[SummariesModel]] = MappingProxyType(
|
||||
{
|
||||
'40l': SoloSuccessModel,
|
||||
'blitz': SoloSuccessModel,
|
||||
'zenith': ZenithSuccessModel,
|
||||
'zenithex': ZenithSuccessModel,
|
||||
'zen': ZenSuccessModel,
|
||||
'achievements': AchievementsSuccessModel,
|
||||
}
|
||||
)
|
||||
|
||||
@overload
|
||||
def __init__(self, *, user_id: str, trust: bool = False): ...
|
||||
@overload
|
||||
@@ -36,7 +57,7 @@ class Player:
|
||||
raise ValueError(msg)
|
||||
self.__user: User | None = None
|
||||
self._user_info: UserInfoSuccess | None = None
|
||||
self._user_records: UserRecordsSuccess | None = None
|
||||
self._summaries: dict[Summaries, SummariesModel] = {}
|
||||
|
||||
@property
|
||||
def _request_user_parameter(self) -> str:
|
||||
@@ -49,14 +70,21 @@ class Player:
|
||||
|
||||
@property
|
||||
async def user(self) -> User:
|
||||
if self.__user is None:
|
||||
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.user.id,
|
||||
name=user_info.data.user.username,
|
||||
ID=user_info.data.id,
|
||||
name=user_info.data.username,
|
||||
)
|
||||
self.user_id = user_info.data.user.id
|
||||
self.user_name = user_info.data.user.username
|
||||
self.user_id = self.__user.ID
|
||||
self.user_name = self.__user.name
|
||||
return self.__user
|
||||
|
||||
async def get_info(self) -> UserInfoSuccess:
|
||||
@@ -79,36 +107,81 @@ class Player:
|
||||
)
|
||||
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'])
|
||||
@overload
|
||||
async def get_summaries(self, summaries_type: Literal['40l', 'blitz']) -> SoloSuccessModel: ...
|
||||
@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['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])
|
||||
)
|
||||
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}'
|
||||
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._user_records = user_records
|
||||
self._summaries[summaries_type] = summaries
|
||||
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,
|
||||
api_type=summaries_type,
|
||||
data=summaries,
|
||||
update_time=summaries.cache.cached_at,
|
||||
),
|
||||
)
|
||||
return self._user_records
|
||||
return self._summaries[summaries_type]
|
||||
|
||||
@property
|
||||
async def sprint(self) -> SoloModeRecord:
|
||||
return (await self.get_records()).data.records.sprint
|
||||
@alru_cache
|
||||
async def sprint(self) -> SoloSuccessModel:
|
||||
return await self.get_summaries('40l')
|
||||
|
||||
@property
|
||||
async def blitz(self) -> SoloModeRecord:
|
||||
return (await self.get_records()).data.records.blitz
|
||||
@alru_cache
|
||||
async def blitz(self) -> SoloSuccessModel:
|
||||
return await self.get_summaries('blitz')
|
||||
|
||||
@property
|
||||
async def zen(self) -> Zen:
|
||||
return (await self.get_records()).data.zen
|
||||
@alru_cache
|
||||
async def zen(self) -> ZenSuccessModel:
|
||||
return await self.get_summaries('zen')
|
||||
|
||||
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
|
||||
|
||||
@@ -4,6 +4,12 @@ from typing import Literal
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class P(BaseModel): # what is P
|
||||
pri: float
|
||||
sec: float
|
||||
ter: float
|
||||
|
||||
|
||||
class Cache(BaseModel):
|
||||
status: str
|
||||
cached_at: datetime
|
||||
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -0,0 +1,20 @@
|
||||
from .achievements import Achievements, AchievementsSuccessModel
|
||||
from .solo import Blitz, SoloSuccessModel, Sprint
|
||||
from .zen import Zen, ZenSuccessModel
|
||||
from .zenith import Zenith, ZenithEx, ZenithSuccessModel
|
||||
|
||||
SummariesModel = AchievementsSuccessModel | SoloSuccessModel | ZenSuccessModel | ZenithSuccessModel
|
||||
|
||||
__all__ = [
|
||||
'Achievements',
|
||||
'AchievementsSuccessModel',
|
||||
'Blitz',
|
||||
'Sprint',
|
||||
'SoloSuccessModel',
|
||||
'Zen',
|
||||
'ZenSuccessModel',
|
||||
'Zenith',
|
||||
'ZenithEx',
|
||||
'ZenithSuccessModel',
|
||||
'SummariesModel',
|
||||
]
|
||||
@@ -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
|
||||
@@ -0,0 +1,23 @@
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class User(BaseModel):
|
||||
id: str
|
||||
username: str
|
||||
avatar_revision: int | None
|
||||
banner_revision: int | None
|
||||
country: str | None
|
||||
verified: int
|
||||
supporter: int
|
||||
|
||||
|
||||
class AggregateStats(BaseModel):
|
||||
apm: float
|
||||
pps: float
|
||||
vsscore: float
|
||||
|
||||
|
||||
class Finesse(BaseModel):
|
||||
combo: int
|
||||
faults: int
|
||||
perfectpieces: int
|
||||
@@ -0,0 +1,103 @@
|
||||
from datetime import datetime
|
||||
from typing import Literal, TypeAlias
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from ..base import FailedModel, P, SuccessModel
|
||||
from .base import AggregateStats, Finesse, User
|
||||
|
||||
|
||||
class Time(BaseModel):
|
||||
start: int
|
||||
zero: bool
|
||||
locked: bool
|
||||
prev: int
|
||||
frameoffset: 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 Stats(BaseModel):
|
||||
seed: int
|
||||
lines: int
|
||||
level_lines: int
|
||||
level_lines_needed: int
|
||||
inputs: int
|
||||
holds: int
|
||||
time: Time
|
||||
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
|
||||
user: User
|
||||
otherusers: list
|
||||
leaderboards: list[str]
|
||||
results: Results
|
||||
extras: dict
|
||||
disputed: bool
|
||||
p: P
|
||||
|
||||
|
||||
class Data(BaseModel):
|
||||
record: Record | None
|
||||
rank: int
|
||||
rank_local: int
|
||||
|
||||
|
||||
class SoloSuccessModel(SuccessModel):
|
||||
data: Data
|
||||
|
||||
|
||||
Sprint: TypeAlias = SoloSuccessModel | FailedModel
|
||||
Blitz: TypeAlias = SoloSuccessModel | FailedModel
|
||||
@@ -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
|
||||
@@ -0,0 +1,131 @@
|
||||
from datetime import datetime
|
||||
from typing import Literal, TypeAlias
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from ..base import FailedModel, P, SuccessModel
|
||||
from .base import AggregateStats, Finesse, User
|
||||
|
||||
|
||||
class Clears(BaseModel):
|
||||
singles: int
|
||||
doubles: int
|
||||
triples: int
|
||||
quads: int
|
||||
pentas: int
|
||||
realtspins: int
|
||||
minitspins: int
|
||||
minitspinsingles: int
|
||||
tspinsingles: int
|
||||
minitspindoubles: int
|
||||
tspindoubles: int
|
||||
minitspintriples: int
|
||||
tspintriples: int
|
||||
minitspinquads: int
|
||||
tspinquads: int
|
||||
tspinpentas: int
|
||||
allclear: int
|
||||
|
||||
|
||||
class Garbage(BaseModel):
|
||||
sent: int
|
||||
sent_nomult: int
|
||||
maxspike: int
|
||||
maxspike_nomult: int
|
||||
received: int
|
||||
attack: int
|
||||
cleared: 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
|
||||
@@ -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']
|
||||
@@ -105,7 +43,6 @@ class User(BaseModel):
|
||||
supporter: bool | None = None # osk说是必有, 但实际上不是 fkosk
|
||||
supporter_tier: int
|
||||
verified: bool
|
||||
league: NeverPlayedLeague | NeverRatedLeague | RatedLeague
|
||||
avatar_revision: int | None = None
|
||||
"""This user's avatar ID. Get their avatar at
|
||||
|
||||
@@ -122,10 +59,6 @@ class User(BaseModel):
|
||||
distinguishment: Distinguishment | None = None
|
||||
|
||||
|
||||
class Data(BaseModel):
|
||||
user: User
|
||||
|
||||
|
||||
class UserInfoSuccess(BaseSuccessModel):
|
||||
data: Data
|
||||
|
||||
|
||||
@@ -21,3 +21,13 @@ ValidRank = Literal[
|
||||
]
|
||||
|
||||
Rank = ValidRank | Literal['z'] # 未定级
|
||||
|
||||
Summaries = Literal[
|
||||
'40l',
|
||||
'blitz',
|
||||
'zenith',
|
||||
'zenithex',
|
||||
# 'league', # 等待正式赛季开始
|
||||
'zen',
|
||||
'achievements',
|
||||
]
|
||||
|
||||
@@ -45,11 +45,10 @@ async def _(nb_user: User, account: Player, event_session: EventSession, bot_inf
|
||||
platform='TETR.IO',
|
||||
status='unknown',
|
||||
user=People(
|
||||
avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
|
||||
if user_info.data.user.avatar_revision is not None
|
||||
and user_info.data.user.avatar_revision != 0
|
||||
else Avatar(type='identicon', hash=md5(user_info.data.user.id.encode()).hexdigest()), # noqa: S324
|
||||
name=user_info.data.user.username.upper(),
|
||||
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'),
|
||||
|
||||
@@ -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,
|
||||
|
||||
@@ -1,80 +0,0 @@
|
||||
from nonebot_plugin_alconna.uniseg import UniMessage
|
||||
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 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_user_list_v2 import List, TetraLeague, User
|
||||
from ...utils.screenshot import screenshot
|
||||
from .. import alc
|
||||
from .api.schemas.tetra_league import ValidLeague
|
||||
from .api.tetra_league import Parameter, leaderboard
|
||||
from .constant import GAME_TYPE
|
||||
|
||||
|
||||
@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 = {}
|
||||
if max_tr is not None:
|
||||
parameter['after'] = max_tr
|
||||
if min_tr is not None:
|
||||
parameter['before'] = min_tr
|
||||
if limit is not None:
|
||||
parameter['limit'] = limit
|
||||
if country is not None:
|
||||
parameter['country'] = country
|
||||
league = await leaderboard(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,
|
||||
verified=i.verified,
|
||||
tetra_league=TetraLeague(
|
||||
rank=i.league.rank,
|
||||
tr=round(i.league.rating, 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.users
|
||||
if isinstance(i.league, ValidLeague)
|
||||
],
|
||||
),
|
||||
)
|
||||
) as page_hash:
|
||||
await UniMessage.image(raw=await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')).finish()
|
||||
@@ -1,34 +1,10 @@
|
||||
from datetime import datetime
|
||||
|
||||
from nonebot_plugin_orm import Model
|
||||
from sqlalchemy import JSON, DateTime, String
|
||||
from sqlalchemy import String
|
||||
from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
|
||||
|
||||
from .api.typing import Rank
|
||||
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)
|
||||
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)
|
||||
|
||||
|
||||
class TETRIOUserConfig(MappedAsDataclass, Model):
|
||||
id: Mapped[int] = mapped_column(primary_key=True)
|
||||
query_template: Mapped[Template] = mapped_column(String(2))
|
||||
|
||||
@@ -1,553 +0,0 @@
|
||||
from asyncio import gather
|
||||
from collections import defaultdict
|
||||
from datetime import date, datetime, timedelta, timezone
|
||||
from hashlib import md5
|
||||
from math import ceil, floor
|
||||
from typing import ClassVar, TypeVar, overload
|
||||
from urllib.parse import urlencode
|
||||
from zoneinfo import ZoneInfo
|
||||
|
||||
from aiofiles import open
|
||||
from nonebot import get_driver
|
||||
from nonebot.adapters import Event
|
||||
from nonebot.compat import type_validate_json
|
||||
from nonebot.matcher import Matcher
|
||||
from nonebot_plugin_alconna import At
|
||||
from nonebot_plugin_alconna.uniseg import UniMessage
|
||||
from nonebot_plugin_apscheduler import scheduler # type: ignore[import-untyped]
|
||||
from nonebot_plugin_localstore import get_data_file # type: ignore[import-untyped]
|
||||
from nonebot_plugin_orm import get_session
|
||||
from nonebot_plugin_session import EventSession # type: ignore[import-untyped]
|
||||
from nonebot_plugin_session_orm import get_session_persist_id # type: ignore[import-untyped]
|
||||
from nonebot_plugin_user import User as NBUser # type: ignore[import-untyped]
|
||||
from nonebot_plugin_user import get_user # type: ignore[import-untyped]
|
||||
from sqlalchemy import select
|
||||
from zstandard import ZstdDecompressor
|
||||
|
||||
from ...db import query_bind_info, trigger
|
||||
from ...utils.exception import FallbackError
|
||||
from ...utils.host import HostPage, get_self_netloc
|
||||
from ...utils.metrics import TetrisMetricsProWithPPSVS, get_metrics
|
||||
from ...utils.render import render
|
||||
from ...utils.render.schemas.base import Avatar, Ranking
|
||||
from ...utils.render.schemas.tetrio.tetrio_info import Info as V1TemplateInfo
|
||||
from ...utils.render.schemas.tetrio.tetrio_info import Radar, TetraLeague, TetraLeagueHistory, TetraLeagueHistoryData
|
||||
from ...utils.render.schemas.tetrio.tetrio_info import User as V1TemplateUser
|
||||
from ...utils.render.schemas.tetrio.tetrio_user_info_v2 import Badge, Blitz, Sprint, Statistic, TetraLeagueStatistic
|
||||
from ...utils.render.schemas.tetrio.tetrio_user_info_v2 import Info as V2TemplateInfo
|
||||
from ...utils.render.schemas.tetrio.tetrio_user_info_v2 import TetraLeague as V2TemplateTetraLeague
|
||||
from ...utils.render.schemas.tetrio.tetrio_user_info_v2 import User as V2TemplateUser
|
||||
from ...utils.screenshot import screenshot
|
||||
from ...utils.typing import Me, Number
|
||||
from ..constant import CANT_VERIFY_MESSAGE
|
||||
from . import alc
|
||||
from .api import Player, User, UserInfoSuccess
|
||||
from .api.models import TETRIOHistoricalData
|
||||
from .api.schemas.tetra_league import TetraLeagueSuccess
|
||||
from .api.schemas.user_info import NeverPlayedLeague, NeverRatedLeague, RatedLeague
|
||||
from .constant import GAME_TYPE, TR_MAX, TR_MIN
|
||||
from .models import IORank, TETRIOUserConfig
|
||||
from .typing import Template
|
||||
|
||||
UTC = timezone.utc
|
||||
|
||||
driver = get_driver()
|
||||
|
||||
|
||||
@alc.assign('TETRIO.query')
|
||||
async def _( # noqa: PLR0913
|
||||
user: NBUser,
|
||||
event: Event,
|
||||
matcher: Matcher,
|
||||
target: At | Me,
|
||||
event_session: EventSession,
|
||||
template: Template | None = None,
|
||||
):
|
||||
async with trigger(
|
||||
session_persist_id=await get_session_persist_id(event_session),
|
||||
game_platform=GAME_TYPE,
|
||||
command_type='query',
|
||||
command_args=[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 + (await make_query_result(player, template or 'v1'))).finish()
|
||||
|
||||
|
||||
@alc.assign('TETRIO.query')
|
||||
async def _(user: NBUser, account: Player, event_session: EventSession, template: Template | None = None):
|
||||
async with trigger(
|
||||
session_persist_id=await get_session_persist_id(event_session),
|
||||
game_platform=GAME_TYPE,
|
||||
command_type='query',
|
||||
command_args=[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 (await make_query_result(account, template or 'v1')).finish()
|
||||
|
||||
|
||||
def get_value_bounds(values: list[int | float]) -> tuple[int, int]:
|
||||
value_max = 10 * ceil(max(values) / 10)
|
||||
value_min = 10 * floor(min(values) / 10)
|
||||
return value_max, value_min
|
||||
|
||||
|
||||
def get_split(value_max: int, value_min: int) -> tuple[int, int]:
|
||||
offset = 0
|
||||
overflow = 0
|
||||
|
||||
while True:
|
||||
if (new_max_value := value_max + offset + overflow) > TR_MAX:
|
||||
overflow -= 1
|
||||
continue
|
||||
if (new_min_value := value_min - offset + overflow) < TR_MIN:
|
||||
overflow += 1
|
||||
continue
|
||||
if ((new_max_value - new_min_value) / 40).is_integer():
|
||||
split_value = int((value_max + offset - (value_min - offset)) / 4)
|
||||
break
|
||||
offset += 1
|
||||
return split_value, offset + overflow
|
||||
|
||||
|
||||
def get_specified_point(
|
||||
previous_point: TetraLeagueHistoryData,
|
||||
behind_point: TetraLeagueHistoryData,
|
||||
point_time: datetime,
|
||||
) -> TetraLeagueHistoryData:
|
||||
"""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 TetraLeagueHistoryData(
|
||||
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[TetraLeagueHistoryData]:
|
||||
today = datetime.now(ZoneInfo('Asia/Shanghai')).replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
forward = timedelta(days=9)
|
||||
start_time = (today - forward).astimezone(UTC)
|
||||
async with get_session() as session:
|
||||
historical_data = (
|
||||
await session.scalars(
|
||||
select(TETRIOHistoricalData)
|
||||
.where(TETRIOHistoricalData.update_time >= start_time)
|
||||
.where(TETRIOHistoricalData.user_unique_identifier == user.unique_identifier)
|
||||
.where(TETRIOHistoricalData.api_type == 'User Info')
|
||||
)
|
||||
).all()
|
||||
if historical_data:
|
||||
extra = (
|
||||
await session.scalars(
|
||||
select(TETRIOHistoricalData)
|
||||
.where(TETRIOHistoricalData.user_unique_identifier == user.unique_identifier)
|
||||
.where(TETRIOHistoricalData.api_type == 'User Info')
|
||||
.order_by(TETRIOHistoricalData.id.desc())
|
||||
.where(TETRIOHistoricalData.id < min([i.id for i in historical_data]))
|
||||
.limit(1)
|
||||
)
|
||||
).one_or_none()
|
||||
if extra is not None:
|
||||
historical_data = list(historical_data)
|
||||
historical_data.append(extra)
|
||||
full_export_data = FullExport.get_data(user.unique_identifier)
|
||||
if not historical_data and not full_export_data:
|
||||
return [
|
||||
TetraLeagueHistoryData(record_at=today - forward, tr=user_info.data.user.league.rating),
|
||||
TetraLeagueHistoryData(record_at=today.replace(microsecond=1000), tr=user_info.data.user.league.rating),
|
||||
]
|
||||
histories = [
|
||||
TetraLeagueHistoryData(
|
||||
record_at=i.update_time.astimezone(ZoneInfo('Asia/Shanghai')),
|
||||
tr=i.data.data.user.league.rating,
|
||||
)
|
||||
for i in historical_data
|
||||
if isinstance(i.data, UserInfoSuccess) and isinstance(i.data.data.user.league, RatedLeague)
|
||||
] + full_export_data
|
||||
|
||||
# 按照时间排序
|
||||
histories = sorted(histories, key=lambda x: x.record_at)
|
||||
for index, value in enumerate(histories):
|
||||
# 在历史记录里找有没有今天0点后的数据, 并且至少要有两个数据点
|
||||
if value.record_at > today and len(histories) >= 2: # noqa: PLR2004
|
||||
histories = histories[:index] + [
|
||||
get_specified_point(histories[index - 1], histories[index], today.replace(microsecond=1000))
|
||||
]
|
||||
break
|
||||
else:
|
||||
histories.append(
|
||||
get_specified_point(
|
||||
histories[-1],
|
||||
TetraLeagueHistoryData(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, TetraLeagueHistoryData(record_at=today - forward, tr=histories[0].tr))
|
||||
return histories
|
||||
|
||||
|
||||
L = TypeVar('L', NeverPlayedLeague, NeverRatedLeague, RatedLeague)
|
||||
|
||||
|
||||
@overload
|
||||
def get_league(user_info: UserInfoSuccess, league_type: type[L]) -> L: ...
|
||||
@overload
|
||||
def get_league(
|
||||
user_info: UserInfoSuccess, league_type: None = None
|
||||
) -> NeverPlayedLeague | NeverRatedLeague | RatedLeague: ...
|
||||
def get_league(
|
||||
user_info: UserInfoSuccess, league_type: type[L] | None = None
|
||||
) -> L | NeverPlayedLeague | NeverRatedLeague | RatedLeague:
|
||||
league = user_info.data.user.league
|
||||
if league_type is None:
|
||||
return league
|
||||
if isinstance(league, league_type):
|
||||
return league
|
||||
raise FallbackError
|
||||
|
||||
|
||||
async def make_query_image_v1(player: Player) -> bytes:
|
||||
user, user_info, sprint, blitz = await gather(player.user, player.get_info(), player.sprint, player.blitz)
|
||||
league = get_league(user_info, RatedLeague)
|
||||
if league.vs is None:
|
||||
raise FallbackError
|
||||
histories = await query_historical_data(user, user_info)
|
||||
value_max, value_min = get_value_bounds([i.tr for i in histories])
|
||||
split_value, offset = get_split(value_max, value_min)
|
||||
if sprint.record is not None:
|
||||
duration = timedelta(milliseconds=sprint.record.endcontext.final_time).total_seconds()
|
||||
sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s' # noqa: PLR2004
|
||||
else:
|
||||
sprint_value = 'N/A'
|
||||
blitz_value = f'{blitz.record.endcontext.score:,}' if blitz.record is not None else 'N/A'
|
||||
netloc = get_self_netloc()
|
||||
async with HostPage(
|
||||
page=await render(
|
||||
'v1/tetrio/info',
|
||||
V1TemplateInfo(
|
||||
user=V1TemplateUser(
|
||||
avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
|
||||
if user_info.data.user.avatar_revision is not None and user_info.data.user.avatar_revision != 0
|
||||
else Avatar(
|
||||
type='identicon',
|
||||
hash=md5(user_info.data.user.id.encode()).hexdigest(), # noqa: S324
|
||||
),
|
||||
name=user.name.upper(),
|
||||
bio=user_info.data.user.bio,
|
||||
),
|
||||
ranking=Ranking(
|
||||
rating=round(league.glicko, 2),
|
||||
rd=round(league.rd, 2),
|
||||
),
|
||||
tetra_league=TetraLeague(
|
||||
rank=league.rank,
|
||||
tr=round(league.rating, 2),
|
||||
global_rank=league.standing,
|
||||
pps=league.pps,
|
||||
lpm=round(lpm := (league.pps * 24), 2),
|
||||
apm=league.apm,
|
||||
apl=round(league.apm / lpm, 2),
|
||||
vs=league.vs,
|
||||
adpm=round(adpm := (league.vs * 0.6), 2),
|
||||
adpl=round(adpm / lpm, 2),
|
||||
),
|
||||
tetra_league_history=TetraLeagueHistory(
|
||||
data=histories,
|
||||
split_interval=split_value,
|
||||
min_tr=value_min,
|
||||
max_tr=value_max,
|
||||
offset=offset,
|
||||
),
|
||||
radar=Radar(
|
||||
app=(app := (league.apm / (60 * league.pps))),
|
||||
dsps=(dsps := ((league.vs / 100) - (league.apm / 60))),
|
||||
dspp=(dspp := (dsps / league.pps)),
|
||||
ci=150 * dspp - 125 * app + 50 * (league.vs / league.apm) - 25,
|
||||
ge=2 * ((app * dsps) / league.pps),
|
||||
),
|
||||
sprint=sprint_value,
|
||||
blitz=blitz_value,
|
||||
),
|
||||
)
|
||||
) as page_hash:
|
||||
return await screenshot(f'http://{netloc}/host/{page_hash}.html')
|
||||
|
||||
|
||||
N = TypeVar('N', int, float)
|
||||
|
||||
|
||||
def handling_special_value(value: N) -> N | None:
|
||||
return value if value != -1 else None
|
||||
|
||||
|
||||
async def make_query_image_v2(player: Player) -> bytes:
|
||||
user, user_info, sprint, blitz, zen = await gather(
|
||||
player.user, player.get_info(), player.sprint, player.blitz, player.zen
|
||||
)
|
||||
league = get_league(user_info)
|
||||
histories = await query_historical_data(user, user_info)
|
||||
|
||||
if sprint.record is not None:
|
||||
duration = timedelta(milliseconds=sprint.record.endcontext.final_time).total_seconds()
|
||||
sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s' # noqa: PLR2004
|
||||
else:
|
||||
sprint_value = 'N/A'
|
||||
|
||||
play_time: str | None
|
||||
if (game_time := handling_special_value(user_info.data.user.gametime)) is not None:
|
||||
if game_time // 3600 > 0:
|
||||
play_time = f'{game_time//3600:.0f}h {game_time % 3600 // 60:.0f}m {game_time % 60:.0f}s'
|
||||
elif game_time // 60 > 0:
|
||||
play_time = f'{game_time//60:.0f}m {game_time % 60:.0f}s'
|
||||
else:
|
||||
play_time = f'{game_time:.0f}s'
|
||||
else:
|
||||
play_time = game_time
|
||||
netloc = get_self_netloc()
|
||||
async with HostPage(
|
||||
await render(
|
||||
'v2/tetrio/user/info',
|
||||
V2TemplateInfo(
|
||||
user=V2TemplateUser(
|
||||
id=user.ID,
|
||||
name=user.name.upper(),
|
||||
bio=user_info.data.user.bio,
|
||||
banner=f'http://{netloc}/host/resource/tetrio/banners/{user.ID}?{urlencode({"revision": user_info.data.user.banner_revision})}'
|
||||
if user_info.data.user.banner_revision is not None and user_info.data.user.banner_revision != 0
|
||||
else None,
|
||||
avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
|
||||
if user_info.data.user.avatar_revision is not None and user_info.data.user.avatar_revision != 0
|
||||
else Avatar(
|
||||
type='identicon',
|
||||
hash=md5(user_info.data.user.id.encode()).hexdigest(), # noqa: S324
|
||||
),
|
||||
badges=[
|
||||
Badge(
|
||||
id=i.id,
|
||||
description=i.label,
|
||||
group=i.group,
|
||||
receive_at=i.ts if isinstance(i.ts, datetime) else None,
|
||||
)
|
||||
for i in user_info.data.user.badges
|
||||
],
|
||||
country=user_info.data.user.country,
|
||||
xp=user_info.data.user.xp,
|
||||
friend_count=user_info.data.user.friend_count or 0,
|
||||
supporter_tier=user_info.data.user.supporter_tier,
|
||||
bad_standing=user_info.data.user.badstanding or False,
|
||||
verified=user_info.data.user.verified,
|
||||
playtime=play_time,
|
||||
join_at=user_info.data.user.ts,
|
||||
),
|
||||
tetra_league=V2TemplateTetraLeague(
|
||||
rank=league.rank,
|
||||
highest_rank=league.bestrank,
|
||||
tr=round(league.rating, 2),
|
||||
glicko=round(league.glicko, 2),
|
||||
rd=round(league.rd, 2),
|
||||
global_rank=handling_special_value(league.standing),
|
||||
country_rank=handling_special_value(league.standing_local),
|
||||
pps=(
|
||||
metrics := get_metrics(pps=league.pps, apm=league.apm, vs=league.vs)
|
||||
if league.vs is not None
|
||||
else get_metrics(pps=league.pps, apm=league.apm)
|
||||
).pps,
|
||||
apm=metrics.apm,
|
||||
apl=metrics.apl,
|
||||
vs=metrics.vs if isinstance(metrics, TetrisMetricsProWithPPSVS) else None,
|
||||
adpl=metrics.adpl if isinstance(metrics, TetrisMetricsProWithPPSVS) else None,
|
||||
statistic=TetraLeagueStatistic(
|
||||
total=league.gamesplayed,
|
||||
wins=league.gameswon,
|
||||
),
|
||||
decaying=league.decaying,
|
||||
history=histories,
|
||||
)
|
||||
if isinstance(league, RatedLeague)
|
||||
else None,
|
||||
statistic=Statistic(
|
||||
total=handling_special_value(user_info.data.user.gamesplayed),
|
||||
wins=handling_special_value(user_info.data.user.gameswon),
|
||||
),
|
||||
sprint=Sprint(
|
||||
time=sprint_value,
|
||||
global_rank=sprint.rank,
|
||||
play_at=sprint.record.ts,
|
||||
)
|
||||
if sprint.record is not None
|
||||
else None,
|
||||
blitz=Blitz(
|
||||
score=blitz.record.endcontext.score,
|
||||
global_rank=blitz.rank,
|
||||
play_at=blitz.record.ts,
|
||||
)
|
||||
if blitz.record is not None
|
||||
else None,
|
||||
zen=zen,
|
||||
),
|
||||
),
|
||||
) as page_hash:
|
||||
return await screenshot(f'http://{netloc}/host/{page_hash}.html')
|
||||
|
||||
|
||||
async def make_query_text(player: Player) -> UniMessage:
|
||||
user, user_info, sprint, blitz = await gather(player.user, player.get_info(), player.sprint, player.blitz)
|
||||
league = get_league(user_info)
|
||||
|
||||
user_name = user.name.upper()
|
||||
|
||||
message = ''
|
||||
if isinstance(league, NeverPlayedLeague):
|
||||
message += f'用户 {user_name} 没有排位统计数据'
|
||||
else:
|
||||
if isinstance(league, NeverRatedLeague):
|
||||
message += f'用户 {user_name} 暂未完成定级赛, 最近十场的数据:'
|
||||
else:
|
||||
if league.rank == 'z':
|
||||
message += f'用户 {user_name} 暂无段位, {round(league.rating,2)} TR'
|
||||
else:
|
||||
message += f'{league.rank.upper()} 段用户 {user_name} {round(league.rating,2)} TR (#{league.standing})'
|
||||
message += f', 段位分 {round(league.glicko,2)}±{round(league.rd,2)}, 最近十场的数据:'
|
||||
metrics = (
|
||||
get_metrics(pps=league.pps, apm=league.apm, vs=league.vs)
|
||||
if league.vs is not None
|
||||
else get_metrics(pps=league.pps, apm=league.apm)
|
||||
)
|
||||
message += f"\nL'PM: {metrics.lpm} ( {metrics.pps} pps )"
|
||||
message += f'\nAPM: {metrics.apm} ( x{metrics.apl} )'
|
||||
if isinstance(metrics, TetrisMetricsProWithPPSVS):
|
||||
message += f'\nADPM: {metrics.adpm} ( x{metrics.adpl} ) ( {metrics.vs}vs )'
|
||||
if sprint.record is not None:
|
||||
message += f'\n40L: {round(sprint.record.endcontext.final_time/1000,2)}s'
|
||||
message += f' ( #{sprint.rank} )' if sprint.rank is not None else ''
|
||||
if blitz.record is not None:
|
||||
message += f'\nBlitz: {blitz.record.endcontext.score}'
|
||||
message += f' ( #{blitz.rank} )' if blitz.rank is not None else ''
|
||||
return UniMessage(message)
|
||||
|
||||
|
||||
async def make_query_result(player: Player, template: Template) -> UniMessage:
|
||||
try:
|
||||
if template == 'v1':
|
||||
return UniMessage.image(raw=await make_query_image_v1(player))
|
||||
if template == 'v2':
|
||||
return UniMessage.image(raw=await make_query_image_v2(player))
|
||||
except FallbackError:
|
||||
...
|
||||
return await make_query_text(player)
|
||||
|
||||
|
||||
class FullExport:
|
||||
cache: ClassVar[defaultdict[str, set[tuple[datetime, Number]]]] = defaultdict(set)
|
||||
latest_update: ClassVar[date | None] = None
|
||||
|
||||
@classmethod
|
||||
async def init(cls) -> None:
|
||||
async with get_session() as session:
|
||||
full_exports = (await session.scalars(select(IORank).where(IORank.update_time >= cls.start_time()))).all()
|
||||
await gather(
|
||||
*[
|
||||
cls._load(update_time, file_hash)
|
||||
for file_hash, update_time in {
|
||||
i.file_hash: i.update_time for i in full_exports if i.file_hash is not None
|
||||
}.items()
|
||||
]
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def update(cls) -> None:
|
||||
if cls.latest_update == datetime.now(tz=ZoneInfo('Asia/Shanghai')).date():
|
||||
return
|
||||
start_time = cls.start_time()
|
||||
for i in cls.cache:
|
||||
cls.cache[i] = {j for j in cls.cache[i] if j[0] >= start_time}
|
||||
latest_time = max(cls.cache)
|
||||
async with get_session() as session:
|
||||
full_exports = (await session.scalars(select(IORank).where(IORank.update_time > latest_time))).all()
|
||||
await gather(
|
||||
*[
|
||||
cls._load(update_time, file_hash)
|
||||
for file_hash, update_time in {
|
||||
i.file_hash: i.update_time for i in full_exports if i.file_hash is not None
|
||||
}.items()
|
||||
]
|
||||
)
|
||||
cls.latest_update = datetime.now(tz=ZoneInfo('Asia/Shanghai')).date()
|
||||
|
||||
@classmethod
|
||||
def get_data(cls, unique_identifier: str) -> list[TetraLeagueHistoryData]:
|
||||
return [TetraLeagueHistoryData(record_at=i[0], tr=i[1]) for i in cls.cache[unique_identifier]]
|
||||
|
||||
@classmethod
|
||||
def start_time(cls) -> datetime:
|
||||
return (
|
||||
datetime.now(ZoneInfo('Asia/Shanghai')).replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
- timedelta(days=9)
|
||||
).astimezone(UTC)
|
||||
|
||||
@classmethod
|
||||
async def _load(cls, update_time: datetime, file_hash: str) -> None:
|
||||
try:
|
||||
users = type_validate_json(TetraLeagueSuccess, await cls.decompress(file_hash)).data.users
|
||||
except FileNotFoundError:
|
||||
await cls.clear_invalid(file_hash)
|
||||
return
|
||||
update_time = update_time.astimezone(ZoneInfo('Asia/Shanghai'))
|
||||
for i in users:
|
||||
cls.cache[i.id].add((update_time, i.league.rating))
|
||||
|
||||
@classmethod
|
||||
async def decompress(cls, file_hash: str) -> bytes:
|
||||
async with open(get_data_file('nonebot_plugin_tetris_stats', f'{file_hash}.json.zst'), mode='rb') as file:
|
||||
return ZstdDecompressor().decompress(await file.read())
|
||||
|
||||
@classmethod
|
||||
async def clear_invalid(cls, file_hash: str) -> None:
|
||||
async with get_session() as session:
|
||||
full_exports = (await session.scalars(select(IORank).where(IORank.file_hash == file_hash))).all()
|
||||
for i in full_exports:
|
||||
i.file_hash = None
|
||||
await session.commit()
|
||||
|
||||
|
||||
@driver.on_startup
|
||||
async def _():
|
||||
await FullExport.init()
|
||||
scheduler.add_job(FullExport.update, 'interval', hours=1)
|
||||
@@ -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()
|
||||
@@ -68,46 +68,48 @@ async def _(account: Player, event_session: EventSession):
|
||||
|
||||
|
||||
async def make_blitz_image(player: Player) -> bytes:
|
||||
user, user_info, blitz = await gather(player.user, player.get_info(), player.blitz)
|
||||
if blitz.record is None:
|
||||
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)
|
||||
endcontext = blitz.record.endcontext
|
||||
clears = endcontext.clears
|
||||
duration = timedelta(milliseconds=endcontext.final_time).total_seconds()
|
||||
metrics = get_metrics(pps=endcontext.piecesplaced / duration)
|
||||
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='personal_best',
|
||||
user=User(
|
||||
id=user.ID,
|
||||
name=user.name.upper(),
|
||||
avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
|
||||
if user_info.data.user.avatar_revision is not None and user_info.data.user.avatar_revision != 0
|
||||
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.record.replayid,
|
||||
rank=blitz.rank,
|
||||
replay_id=blitz.data.record.replayid,
|
||||
rank=blitz.data.rank,
|
||||
personal_rank=1,
|
||||
statistic=Statistic(
|
||||
keys=endcontext.inputs,
|
||||
kpp=round(endcontext.inputs / endcontext.piecesplaced, 2),
|
||||
kps=round(endcontext.inputs / duration, 2),
|
||||
keys=stats.inputs,
|
||||
kpp=round(stats.inputs / stats.piecesplaced, 2),
|
||||
kps=round(stats.inputs / duration, 2),
|
||||
max=Max(
|
||||
combo=max((0, endcontext.topcombo - 1)),
|
||||
btb=max((0, endcontext.topbtb - 1)),
|
||||
combo=max((0, stats.topcombo - 1)),
|
||||
btb=max((0, stats.topbtb - 1)),
|
||||
),
|
||||
pieces=endcontext.piecesplaced,
|
||||
pieces=stats.piecesplaced,
|
||||
pps=metrics.pps,
|
||||
lines=endcontext.lines,
|
||||
lines=stats.lines,
|
||||
lpm=metrics.lpm,
|
||||
holds=endcontext.holds,
|
||||
score=endcontext.score,
|
||||
spp=round(endcontext.score / endcontext.piecesplaced, 2),
|
||||
holds=stats.holds,
|
||||
score=stats.score,
|
||||
spp=round(stats.score / stats.piecesplaced, 2),
|
||||
single=clears.singles,
|
||||
double=clears.doubles,
|
||||
triple=clears.triples,
|
||||
@@ -116,7 +118,7 @@ async def make_blitz_image(player: Player) -> bytes:
|
||||
total=clears.realtspins,
|
||||
single=clears.tspinsingles,
|
||||
double=clears.tspindoubles,
|
||||
triple=clears.triples,
|
||||
triple=clears.tspintriples,
|
||||
mini=Mini(
|
||||
total=clears.minitspins,
|
||||
single=clears.minitspinsingles,
|
||||
@@ -125,12 +127,12 @@ async def make_blitz_image(player: Player) -> bytes:
|
||||
),
|
||||
all_clear=clears.allclear,
|
||||
finesse=Finesse(
|
||||
faults=endcontext.finesse.faults,
|
||||
accuracy=round(endcontext.finesse.perfectpieces / endcontext.piecesplaced * 100, 2),
|
||||
faults=stats.finesse.faults,
|
||||
accuracy=round(stats.finesse.perfectpieces / stats.piecesplaced * 100, 2),
|
||||
),
|
||||
level=endcontext.level,
|
||||
level=stats.level,
|
||||
),
|
||||
play_at=blitz.record.ts,
|
||||
play_at=blitz.data.record.ts,
|
||||
),
|
||||
)
|
||||
) as page_hash:
|
||||
|
||||
@@ -18,8 +18,8 @@ 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.tetrio_record_base import Finesse, Max, Mini, Tspins, User
|
||||
from ....utils.render.schemas.tetrio.tetrio_record_sprint import Record, Statistic
|
||||
from ....utils.render.schemas.tetrio.tetrio_record_base import Finesse, Max, Mini, Statistic, Tspins, User
|
||||
from ....utils.render.schemas.tetrio.tetrio_record_sprint import Record
|
||||
from ....utils.screenshot import screenshot
|
||||
from ....utils.typing import Me
|
||||
from ...constant import CANT_VERIFY_MESSAGE
|
||||
@@ -68,47 +68,49 @@ async def _(account: Player, event_session: EventSession):
|
||||
|
||||
|
||||
async def make_sprint_image(player: Player) -> bytes:
|
||||
user, user_info, sprint = await gather(player.user, player.get_info(), player.sprint)
|
||||
if sprint.record is None:
|
||||
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)
|
||||
endcontext = sprint.record.endcontext
|
||||
clears = endcontext.clears
|
||||
duration = timedelta(milliseconds=endcontext.final_time).total_seconds()
|
||||
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=endcontext.piecesplaced / duration)
|
||||
metrics = get_metrics(pps=stats.piecesplaced / duration)
|
||||
netloc = get_self_netloc()
|
||||
async with HostPage(
|
||||
page=await render(
|
||||
'v2/tetrio/record/40l',
|
||||
Record(
|
||||
type='personal_best',
|
||||
user=User(
|
||||
id=user.ID,
|
||||
name=user.name.upper(),
|
||||
avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
|
||||
if user_info.data.user.avatar_revision is not None and user_info.data.user.avatar_revision != 0
|
||||
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.record.replayid,
|
||||
rank=sprint.rank,
|
||||
replay_id=sprint.data.record.replayid,
|
||||
rank=sprint.data.rank,
|
||||
personal_rank=1,
|
||||
statistic=Statistic(
|
||||
keys=endcontext.inputs,
|
||||
kpp=round(endcontext.inputs / endcontext.piecesplaced, 2),
|
||||
kps=round(endcontext.inputs / duration, 2),
|
||||
keys=stats.inputs,
|
||||
kpp=round(stats.inputs / stats.piecesplaced, 2),
|
||||
kps=round(stats.inputs / duration, 2),
|
||||
max=Max(
|
||||
combo=max((0, endcontext.topcombo - 1)),
|
||||
btb=max((0, endcontext.topbtb - 1)),
|
||||
combo=max((0, stats.topcombo - 1)),
|
||||
btb=max((0, stats.topbtb - 1)),
|
||||
),
|
||||
pieces=endcontext.piecesplaced,
|
||||
pieces=stats.piecesplaced,
|
||||
pps=metrics.pps,
|
||||
lines=endcontext.lines,
|
||||
lines=stats.lines,
|
||||
lpm=metrics.lpm,
|
||||
holds=endcontext.holds,
|
||||
score=endcontext.score,
|
||||
holds=stats.holds,
|
||||
score=stats.score,
|
||||
single=clears.singles,
|
||||
double=clears.doubles,
|
||||
triple=clears.triples,
|
||||
@@ -117,7 +119,7 @@ async def make_sprint_image(player: Player) -> bytes:
|
||||
total=clears.realtspins,
|
||||
single=clears.tspinsingles,
|
||||
double=clears.tspindoubles,
|
||||
triple=clears.triples,
|
||||
triple=clears.tspintriples,
|
||||
mini=Mini(
|
||||
total=clears.minitspins,
|
||||
single=clears.minitspinsingles,
|
||||
@@ -126,11 +128,11 @@ async def make_sprint_image(player: Player) -> bytes:
|
||||
),
|
||||
all_clear=clears.allclear,
|
||||
finesse=Finesse(
|
||||
faults=endcontext.finesse.faults,
|
||||
accuracy=round(endcontext.finesse.perfectpieces / endcontext.piecesplaced * 100, 2),
|
||||
faults=stats.finesse.faults,
|
||||
accuracy=round(stats.finesse.perfectpieces / stats.piecesplaced * 100, 2),
|
||||
),
|
||||
),
|
||||
play_at=sprint.record.ts,
|
||||
play_at=sprint.data.record.ts,
|
||||
),
|
||||
)
|
||||
) as page_hash:
|
||||
|
||||
@@ -11,7 +11,7 @@ from nonebot.log import logger
|
||||
from ..config.config import CACHE_PATH
|
||||
from .image import img_to_png
|
||||
from .request import Request
|
||||
from .templates import templates_dir
|
||||
from .templates import TEMPLATES_DIR
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from pydantic import IPvAnyAddress
|
||||
@@ -48,7 +48,7 @@ class HostPage:
|
||||
def _():
|
||||
app.mount(
|
||||
'/host/assets',
|
||||
StaticFiles(directory=templates_dir / 'assets'),
|
||||
StaticFiles(directory=TEMPLATES_DIR / 'assets'),
|
||||
name='assets',
|
||||
)
|
||||
logger.success('assets mounted')
|
||||
|
||||
@@ -3,9 +3,12 @@ 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.tetrio_info import Info as TETRIOInfo
|
||||
from .schemas.tetrio.tetrio_rank_detail import Data as TETRIORankDetailData
|
||||
from .schemas.tetrio.tetrio_rank_v1 import Data as TETRIORankDataV1
|
||||
from .schemas.tetrio.tetrio_rank_v2 import Data as TETRIORankDataV2
|
||||
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
|
||||
@@ -14,61 +17,59 @@ 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['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/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[
|
||||
'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
|
||||
| TETRIOInfo
|
||||
| TETRIORankDataV1
|
||||
| TOPInfo
|
||||
| TOSInfo
|
||||
| TETRIOUserInfoV2
|
||||
| TETRIOUserListV2
|
||||
| TETRIORecordSprint
|
||||
| TETRIORecordBlitz,
|
||||
| TETRIORecordBlitz
|
||||
| TETRIORankDataV2
|
||||
| TETRIORankDetailData,
|
||||
) -> str:
|
||||
if PYDANTIC_V2:
|
||||
return await env.get_template('index.html').render_async(
|
||||
|
||||
@@ -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
|
||||
@@ -0,0 +1,16 @@
|
||||
from datetime import datetime
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from .....games.tetrio.api.typing import ValidRank
|
||||
|
||||
|
||||
class ItemData(BaseModel):
|
||||
trending: float
|
||||
require_tr: float
|
||||
players: int
|
||||
|
||||
|
||||
class Data(BaseModel):
|
||||
items: dict[ValidRank, ItemData]
|
||||
updated_at: datetime
|
||||
@@ -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
|
||||
@@ -1,3 +1,6 @@
|
||||
from datetime import datetime
|
||||
from typing import Literal
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from ..base import People
|
||||
@@ -32,7 +35,7 @@ class Finesse(BaseModel):
|
||||
accuracy: float
|
||||
|
||||
|
||||
class RecordStatistic(BaseModel):
|
||||
class Statistic(BaseModel):
|
||||
keys: int
|
||||
kpp: float
|
||||
kps: float
|
||||
@@ -56,3 +59,17 @@ class RecordStatistic(BaseModel):
|
||||
all_clear: int
|
||||
|
||||
finesse: Finesse
|
||||
|
||||
|
||||
class Record(BaseModel):
|
||||
type: Literal['best', 'personal_best', 'recent', 'disputed']
|
||||
|
||||
user: User
|
||||
|
||||
replay_id: str
|
||||
rank: int | None
|
||||
personal_rank: int | None
|
||||
|
||||
statistic: Statistic
|
||||
|
||||
play_at: datetime
|
||||
|
||||
@@ -1,22 +1,12 @@
|
||||
from datetime import datetime
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from .tetrio_record_base import RecordStatistic, User
|
||||
from .tetrio_record_base import Record as BaseRecord
|
||||
from .tetrio_record_base import Statistic as BaseStatistic
|
||||
|
||||
|
||||
class Statistic(RecordStatistic):
|
||||
class Statistic(BaseStatistic):
|
||||
spp: float
|
||||
|
||||
level: int
|
||||
|
||||
|
||||
class Record(BaseModel):
|
||||
user: User
|
||||
|
||||
replay_id: str
|
||||
rank: int | None
|
||||
|
||||
class Record(BaseRecord):
|
||||
statistic: Statistic
|
||||
|
||||
play_at: datetime
|
||||
|
||||
@@ -1,18 +1,5 @@
|
||||
from datetime import datetime
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from .tetrio_record_base import RecordStatistic as Statistic
|
||||
from .tetrio_record_base import User
|
||||
from .tetrio_record_base import Record as BaseRecord
|
||||
|
||||
|
||||
class Record(BaseModel):
|
||||
user: User
|
||||
|
||||
class Record(BaseRecord):
|
||||
time: str
|
||||
replay_id: str
|
||||
rank: int | None
|
||||
|
||||
statistic: Statistic
|
||||
|
||||
play_at: datetime
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
from datetime import datetime
|
||||
from typing import Literal
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
@@ -21,12 +22,14 @@ class User(BaseModel):
|
||||
name: str
|
||||
country: str | None
|
||||
|
||||
role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'banned']
|
||||
|
||||
avatar: str | Avatar
|
||||
banner: str | None
|
||||
|
||||
bio: str | None
|
||||
|
||||
friend_count: int
|
||||
friend_count: int | None
|
||||
supporter_tier: int
|
||||
|
||||
verified: bool
|
||||
|
||||
@@ -1,71 +1,130 @@
|
||||
from asyncio.subprocess import PIPE, create_subprocess_exec
|
||||
from hashlib import sha256
|
||||
from http import HTTPStatus
|
||||
from pathlib import Path
|
||||
from shutil import rmtree
|
||||
from time import time_ns
|
||||
from zipfile import ZipFile
|
||||
|
||||
from aiofiles import open
|
||||
from httpx import AsyncClient
|
||||
from nonebot import get_driver
|
||||
from nonebot.log import logger
|
||||
from nonebot.permission import SUPERUSER
|
||||
from nonebot_plugin_alconna import on_alconna
|
||||
from nonebot_plugin_localstore import get_data_dir # type: ignore[import-untyped]
|
||||
from nonebot_plugin_alconna import Alconna, Args, Option, on_alconna
|
||||
from nonebot_plugin_localstore import get_cache_file, get_data_dir
|
||||
from rich.progress import Progress
|
||||
|
||||
driver = get_driver()
|
||||
|
||||
templates_dir = get_data_dir('nonebot_plugin_tetris_stats') / 'templates'
|
||||
TEMPLATES_DIR = get_data_dir('nonebot_plugin_tetris_stats') / 'templates'
|
||||
|
||||
alc = on_alconna('更新模板', permission=SUPERUSER)
|
||||
alc = on_alconna(Alconna('更新模板', Option('--revision', Args['revision', str], alias={'-R'})), permission=SUPERUSER)
|
||||
|
||||
|
||||
async def download_templates(tag: str) -> Path:
|
||||
logger.info(f'开始下载模板 {tag}')
|
||||
async with AsyncClient() as client:
|
||||
if tag == 'latest':
|
||||
logger.info('目标为 latest, 正在获取最新版本号')
|
||||
tag = (
|
||||
(
|
||||
await client.get(
|
||||
'https://github.com/A-Minos/tetris-stats-templates/releases/latest', follow_redirects=True
|
||||
)
|
||||
)
|
||||
.url.path.strip('/')
|
||||
.rsplit('/', 1)[-1]
|
||||
)
|
||||
logger.success(f'获取到的最新版本号: {tag}')
|
||||
path = get_cache_file('nonebot_plugin_tetris_stats', f'dist_{time_ns()}.zip')
|
||||
with Progress() as progress:
|
||||
task_id = progress.add_task('[red]Downloading...', total=None)
|
||||
async with (
|
||||
client.stream(
|
||||
'GET',
|
||||
f'https://github.com/A-Minos/tetris-stats-templates/releases/download/{tag}/dist.zip',
|
||||
follow_redirects=True,
|
||||
) as response,
|
||||
open(path, 'wb') as file,
|
||||
):
|
||||
response.raise_for_status()
|
||||
progress.update(task_id, total=int(response.headers.get('content-length', 0)) or None)
|
||||
async for chunk in response.aiter_bytes():
|
||||
await file.write(chunk)
|
||||
progress.update(task_id, advance=len(chunk))
|
||||
logger.success('模板下载完成')
|
||||
return path
|
||||
|
||||
|
||||
async def unzip_templates(zip_path: Path) -> Path:
|
||||
logger.info('开始解压模板')
|
||||
temp_path = TEMPLATES_DIR.parent / f'temp_{time_ns()}'
|
||||
with ZipFile(zip_path) as zip_file:
|
||||
zip_file.extractall(temp_path)
|
||||
zip_path.unlink()
|
||||
logger.success('模板解压完成')
|
||||
return temp_path
|
||||
|
||||
|
||||
async def check_hash(hash_file_path: Path) -> bool:
|
||||
logger.info('开始校验模板哈希值')
|
||||
for i in hash_file_path.read_text().splitlines():
|
||||
file_sha256, file_relative_path = i.split(maxsplit=1)
|
||||
file_path = hash_file_path.parent / file_relative_path
|
||||
hasher = sha256()
|
||||
if not file_path.is_file():
|
||||
logger.error(f'{file_path.name} 不存在或不是文件')
|
||||
return False
|
||||
async with open(file_path, 'rb') as file:
|
||||
while True:
|
||||
chunk = await file.read(65535)
|
||||
if not chunk:
|
||||
break
|
||||
hasher.update(chunk)
|
||||
if hasher.hexdigest() != file_sha256:
|
||||
logger.error(f'{file_path.name} hash 不匹配')
|
||||
return False
|
||||
logger.debug(f'{file_path.name} hash 匹配成功')
|
||||
logger.success('模板哈希值校验成功')
|
||||
return True
|
||||
|
||||
|
||||
async def init_templates(tag: str) -> bool:
|
||||
logger.info(f'开始初始化模板 {tag}')
|
||||
temp_path = await unzip_templates(await download_templates(tag))
|
||||
if not await check_hash(temp_path / 'hash.sha256'):
|
||||
rmtree(temp_path)
|
||||
return False
|
||||
if TEMPLATES_DIR.exists():
|
||||
logger.info('清除旧模板文件')
|
||||
rmtree(TEMPLATES_DIR)
|
||||
temp_path.rename(TEMPLATES_DIR)
|
||||
logger.info('模板初始化完成')
|
||||
return True
|
||||
|
||||
|
||||
async def check_tag(tag: str) -> bool:
|
||||
async with AsyncClient() as client:
|
||||
return (
|
||||
await client.get(f'https://github.com/A-Minos/tetris-stats-templates/releases/tag/{tag}')
|
||||
).status_code != HTTPStatus.NOT_FOUND
|
||||
|
||||
|
||||
@driver.on_startup
|
||||
async def init_templates() -> None:
|
||||
try:
|
||||
await create_subprocess_exec('git', '--version', stdout=PIPE)
|
||||
except FileNotFoundError as e:
|
||||
msg = '未找到 git, 请确保 git 已安装并在环境变量中\n安装步骤请参阅: https://git-scm.com/book/zh/v2/%E8%B5%B7%E6%AD%A5-%E5%AE%89%E8%A3%85-Git'
|
||||
raise RuntimeError(msg) from e
|
||||
if not templates_dir.exists():
|
||||
logger.info('模板仓库不存在, 正在尝试初始化...')
|
||||
proc = await create_subprocess_exec(
|
||||
'git',
|
||||
'clone',
|
||||
'-b',
|
||||
'gh-pages',
|
||||
'https://github.com/A-Minos/tetris-stats-templates',
|
||||
templates_dir,
|
||||
'--depth=1',
|
||||
stdout=PIPE,
|
||||
stderr=PIPE,
|
||||
)
|
||||
stdout, stderr = await proc.communicate()
|
||||
if proc.returncode != 0:
|
||||
for i in stderr.decode().splitlines():
|
||||
logger.error(i)
|
||||
msg = '初始化模板仓库失败'
|
||||
raise RuntimeError(msg)
|
||||
logger.success('模板仓库初始化成功')
|
||||
async def _():
|
||||
if (path := (TEMPLATES_DIR / 'hash.sha256')).is_file() and await check_hash(path):
|
||||
logger.success('模板验证成功')
|
||||
return
|
||||
proc = await create_subprocess_exec(
|
||||
'git', 'rev-parse', '--is-inside-work-tree', stdout=PIPE, stderr=PIPE, cwd=templates_dir
|
||||
)
|
||||
stdout, stderr = await proc.communicate()
|
||||
if proc.returncode != 0:
|
||||
for i in stderr.decode().splitlines():
|
||||
logger.error(i)
|
||||
logger.warning('模板仓库状态异常, 尝试重新初始化')
|
||||
rmtree(templates_dir)
|
||||
await init_templates()
|
||||
return
|
||||
logger.info('正在更新模板仓库...')
|
||||
proc = await create_subprocess_exec('git', 'pull', stdout=PIPE, stderr=PIPE, cwd=templates_dir)
|
||||
stdout, stderr = await proc.communicate()
|
||||
logger.info(stdout.decode().strip())
|
||||
if proc.returncode != 0:
|
||||
for i in stderr.decode().splitlines():
|
||||
logger.error(i)
|
||||
msg = '更新模板仓库失败'
|
||||
if not await init_templates('latest'):
|
||||
msg = '模板初始化失败'
|
||||
raise RuntimeError(msg)
|
||||
logger.success('模板仓库更新成功')
|
||||
|
||||
|
||||
@alc.handle()
|
||||
async def _():
|
||||
await init_templates()
|
||||
await alc.finish('模板仓库更新成功')
|
||||
async def _(revision: str | None = None):
|
||||
if revision is not None and not await check_tag(revision):
|
||||
await alc.finish(f'{revision} 不是模板仓库中的有效标签')
|
||||
logger.info('开始更新模板')
|
||||
if await init_templates(revision or 'latest'):
|
||||
await alc.finish('更新模板成功')
|
||||
await alc.finish('更新模板失败')
|
||||
|
||||
500
poetry.lock
generated
500
poetry.lock
generated
@@ -1,4 +1,4 @@
|
||||
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
|
||||
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "aiocache"
|
||||
@@ -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]
|
||||
@@ -286,6 +286,20 @@ files = [
|
||||
arclet-alconna = ">=1.8.15"
|
||||
nepattern = ">=0.7.3,<1.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "async-lru"
|
||||
version = "2.0.4"
|
||||
description = "Simple LRU cache for asyncio"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"},
|
||||
{file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
|
||||
|
||||
[[package]]
|
||||
name = "async-timeout"
|
||||
version = "4.0.3"
|
||||
@@ -471,13 +485,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2024.6.2"
|
||||
version = "2024.7.4"
|
||||
description = "Python package for providing Mozilla's CA Bundle."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
|
||||
{file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
|
||||
{file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
|
||||
{file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1224,13 +1238,9 @@ 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"},
|
||||
@@ -1604,44 +1614,44 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "mypy"
|
||||
version = "1.10.1"
|
||||
version = "1.11.0"
|
||||
description = "Optional static typing for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "mypy-1.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e36f229acfe250dc660790840916eb49726c928e8ce10fbdf90715090fe4ae02"},
|
||||
{file = "mypy-1.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:51a46974340baaa4145363b9e051812a2446cf583dfaeba124af966fa44593f7"},
|
||||
{file = "mypy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:901c89c2d67bba57aaaca91ccdb659aa3a312de67f23b9dfb059727cce2e2e0a"},
|
||||
{file = "mypy-1.10.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0cd62192a4a32b77ceb31272d9e74d23cd88c8060c34d1d3622db3267679a5d9"},
|
||||
{file = "mypy-1.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:a2cbc68cb9e943ac0814c13e2452d2046c2f2b23ff0278e26599224cf164e78d"},
|
||||
{file = "mypy-1.10.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:bd6f629b67bb43dc0d9211ee98b96d8dabc97b1ad38b9b25f5e4c4d7569a0c6a"},
|
||||
{file = "mypy-1.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a1bbb3a6f5ff319d2b9d40b4080d46cd639abe3516d5a62c070cf0114a457d84"},
|
||||
{file = "mypy-1.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8edd4e9bbbc9d7b79502eb9592cab808585516ae1bcc1446eb9122656c6066f"},
|
||||
{file = "mypy-1.10.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6166a88b15f1759f94a46fa474c7b1b05d134b1b61fca627dd7335454cc9aa6b"},
|
||||
{file = "mypy-1.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:5bb9cd11c01c8606a9d0b83ffa91d0b236a0e91bc4126d9ba9ce62906ada868e"},
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{file = "mypy-1.10.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d8681909f7b44d0b7b86e653ca152d6dff0eb5eb41694e163c6092124f8246d7"},
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{file = "mypy-1.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:378c03f53f10bbdd55ca94e46ec3ba255279706a6aacaecac52ad248f98205d3"},
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{file = "mypy-1.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6bacf8f3a3d7d849f40ca6caea5c055122efe70e81480c8328ad29c55c69e93e"},
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{file = "mypy-1.10.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:701b5f71413f1e9855566a34d6e9d12624e9e0a8818a5704d74d6b0402e66c04"},
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||||
{file = "mypy-1.10.1-cp312-cp312-win_amd64.whl", hash = "sha256:3c4c2992f6ea46ff7fce0072642cfb62af7a2484efe69017ed8b095f7b39ef31"},
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{file = "mypy-1.10.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:604282c886497645ffb87b8f35a57ec773a4a2721161e709a4422c1636ddde5c"},
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{file = "mypy-1.10.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37fd87cab83f09842653f08de066ee68f1182b9b5282e4634cdb4b407266bade"},
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||||
{file = "mypy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8addf6313777dbb92e9564c5d32ec122bf2c6c39d683ea64de6a1fd98b90fe37"},
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||||
{file = "mypy-1.10.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:5cc3ca0a244eb9a5249c7c583ad9a7e881aa5d7b73c35652296ddcdb33b2b9c7"},
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{file = "mypy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:1b3a2ffce52cc4dbaeee4df762f20a2905aa171ef157b82192f2e2f368eec05d"},
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||||
{file = "mypy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fe85ed6836165d52ae8b88f99527d3d1b2362e0cb90b005409b8bed90e9059b3"},
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||||
{file = "mypy-1.10.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c2ae450d60d7d020d67ab440c6e3fae375809988119817214440033f26ddf7bf"},
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||||
{file = "mypy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6be84c06e6abd72f960ba9a71561c14137a583093ffcf9bbfaf5e613d63fa531"},
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||||
{file = "mypy-1.10.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2189ff1e39db399f08205e22a797383613ce1cb0cb3b13d8bcf0170e45b96cc3"},
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||||
{file = "mypy-1.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:97a131ee36ac37ce9581f4220311247ab6cba896b4395b9c87af0675a13a755f"},
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||||
{file = "mypy-1.10.1.tar.gz", hash = "sha256:1f8f492d7db9e3593ef42d4f115f04e556130f2819ad33ab84551403e97dd4c0"},
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||||
{file = "mypy-1.11.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a3824187c99b893f90c845bab405a585d1ced4ff55421fdf5c84cb7710995229"},
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{file = "mypy-1.11.0.tar.gz", hash = "sha256:93743608c7348772fdc717af4aeee1997293a1ad04bc0ea6efa15bf65385c538"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
mypy-extensions = ">=1.0.0"
|
||||
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
|
||||
typing-extensions = ">=4.1.0"
|
||||
typing-extensions = ">=4.6.0"
|
||||
|
||||
[package.extras]
|
||||
dmypy = ["psutil (>=4.0)"]
|
||||
@@ -1706,13 +1716,13 @@ 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]
|
||||
@@ -1754,17 +1764,17 @@ nonebot2 = ">=2.3.0"
|
||||
|
||||
[[package]]
|
||||
name = "nonebot-plugin-alconna"
|
||||
version = "0.48.0"
|
||||
version = "0.50.2"
|
||||
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-0.50.2-py3-none-any.whl", hash = "sha256:be641eaf539f6f9dfb2398be80e994fa27814064eeed89e7a46a03754756dfc1"},
|
||||
{file = "nonebot_plugin_alconna-0.50.2.tar.gz", hash = "sha256:ebae23723cee5cbbc350aa864d9e3d95cb1ab8324ba8674130df3302066277b1"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
arclet-alconna = ">=1.8.16"
|
||||
arclet-alconna = ">=1.8.19"
|
||||
arclet-alconna-tools = ">=0.7.6"
|
||||
importlib-metadata = ">=4.13.0"
|
||||
nepattern = ">=0.7.4"
|
||||
@@ -1774,13 +1784,13 @@ tarina = ">=0.5.4"
|
||||
|
||||
[[package]]
|
||||
name = "nonebot-plugin-apscheduler"
|
||||
version = "0.4.0"
|
||||
version = "0.5.0"
|
||||
description = "APScheduler Support for NoneBot2"
|
||||
optional = false
|
||||
python-versions = ">=3.8,<4.0"
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "nonebot_plugin_apscheduler-0.4.0-py3-none-any.whl", hash = "sha256:f01bb418a5ecf9f04dcadbbc2ff5ba565a48177eb0a758c8c46b13048ac5680c"},
|
||||
{file = "nonebot_plugin_apscheduler-0.4.0.tar.gz", hash = "sha256:ba91e68809a38e6dbe28906366d47f37f754ded360944b938cd5ac62029a0eb6"},
|
||||
{file = "nonebot_plugin_apscheduler-0.5.0-py3-none-any.whl", hash = "sha256:8b99b5ee60c4bc195d4df2fd27dab3d6963691e3332f6cee31a06eb4277c307f"},
|
||||
{file = "nonebot_plugin_apscheduler-0.5.0.tar.gz", hash = "sha256:6c0230e99765f275dc83d6639ff33bd6f71203fa10cd1b8a204b0f95530cda86"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -1790,29 +1800,29 @@ pydantic = ">=1.10.0,<2.5.0 || >2.5.0,<2.5.1 || >2.5.1,<3.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "nonebot-plugin-localstore"
|
||||
version = "0.6.0"
|
||||
version = "0.7.0"
|
||||
description = "Local Storage Support for NoneBot2"
|
||||
optional = false
|
||||
python-versions = ">=3.8,<4.0"
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "nonebot_plugin_localstore-0.6.0-py3-none-any.whl", hash = "sha256:59f0126d85680601166a9a62cca886a33e1b0a8fef7cd67fff52747bd47f42d3"},
|
||||
{file = "nonebot_plugin_localstore-0.6.0.tar.gz", hash = "sha256:7eb4039cb2e76c54b860b2b98f2b90cd25284919603e81dedec367f215662fcd"},
|
||||
{file = "nonebot_plugin_localstore-0.7.0-py3-none-any.whl", hash = "sha256:5cb8a18d87c88259ff3ae4d741390e44076d48c8cc9c33aea66f7a6a29fe70af"},
|
||||
{file = "nonebot_plugin_localstore-0.7.0.tar.gz", hash = "sha256:f04d99daba13d8e7cc6cf72c43fab28cbde30e0c2a71b328e815d9c96403e2e3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
nonebot2 = ">=2.2.0,<3.0.0"
|
||||
pydantic = ">=1.10.0,<2.5.0 || >2.5.0,<2.5.1 || >2.5.1,<3.0.0"
|
||||
typing-extensions = ">=4.0.0"
|
||||
typing-extensions = ">=4.0.0,<5.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "nonebot-plugin-orm"
|
||||
version = "0.7.3"
|
||||
version = "0.7.5"
|
||||
description = "SQLAlchemy ORM support for nonebot"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8"
|
||||
files = [
|
||||
{file = "nonebot_plugin_orm-0.7.3-py3-none-any.whl", hash = "sha256:9b0d114a4e7b2e452cb333e7147ae4216dff2f9685df616e5fa1f3f892d8795b"},
|
||||
{file = "nonebot_plugin_orm-0.7.3.tar.gz", hash = "sha256:cbb573598d0ecef2d0e75b5bdebd05297c68a2b368029a8763660f2a45381a2c"},
|
||||
{file = "nonebot_plugin_orm-0.7.5-py3-none-any.whl", hash = "sha256:a16419950c1bf72c97c199fdc508a8380d438fa55cc129a5ca815cf8aa5411ac"},
|
||||
{file = "nonebot_plugin_orm-0.7.5.tar.gz", hash = "sha256:fe29be515bf07fa783d894d784d9e80cb26ff8f43222db88660d9e22e2e7ca24"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -1871,13 +1881,13 @@ nonebot2 = {version = ">=2.2.0,<3.0.0", extras = ["fastapi"]}
|
||||
|
||||
[[package]]
|
||||
name = "nonebot-plugin-user"
|
||||
version = "0.2.0"
|
||||
version = "0.3.0"
|
||||
description = "适用于 Nonebot2 的用户插件"
|
||||
optional = false
|
||||
python-versions = ">=3.8,<4.0"
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "nonebot_plugin_user-0.2.0-py3-none-any.whl", hash = "sha256:9b052551b13fd8f8fab39023a8088637b0447b0ef42d87f54a0e7e2c3c371740"},
|
||||
{file = "nonebot_plugin_user-0.2.0.tar.gz", hash = "sha256:f2f559e3381deb20a067fb2004a92f3625b1777da076ecfb956e334bdbe0f7d5"},
|
||||
{file = "nonebot_plugin_user-0.3.0-py3-none-any.whl", hash = "sha256:3b65884368e446b7b64b46216d060a020100855ecabcbbeb6d10223e55804773"},
|
||||
{file = "nonebot_plugin_user-0.3.0.tar.gz", hash = "sha256:82d7b039d69cd791ebaff1be0308618a850a798219901cee2f5bcd1a96e14911"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -1921,13 +1931,13 @@ 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 +2082,6 @@ 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 +2102,6 @@ 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"},
|
||||
@@ -2157,84 +2165,95 @@ types-pytz = ">=2022.1.1"
|
||||
|
||||
[[package]]
|
||||
name = "pillow"
|
||||
version = "10.3.0"
|
||||
version = "10.4.0"
|
||||
description = "Python Imaging Library (Fork)"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pillow-10.3.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:90b9e29824800e90c84e4022dd5cc16eb2d9605ee13f05d47641eb183cd73d45"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a2c405445c79c3f5a124573a051062300936b0281fee57637e706453e452746c"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78618cdbccaa74d3f88d0ad6cb8ac3007f1a6fa5c6f19af64b55ca170bfa1edf"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:261ddb7ca91fcf71757979534fb4c128448b5b4c55cb6152d280312062f69599"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:ce49c67f4ea0609933d01c0731b34b8695a7a748d6c8d186f95e7d085d2fe475"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:b14f16f94cbc61215115b9b1236f9c18403c15dd3c52cf629072afa9d54c1cbf"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d33891be6df59d93df4d846640f0e46f1a807339f09e79a8040bc887bdcd7ed3"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b50811d664d392f02f7761621303eba9d1b056fb1868c8cdf4231279645c25f5"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-win32.whl", hash = "sha256:ca2870d5d10d8726a27396d3ca4cf7976cec0f3cb706debe88e3a5bd4610f7d2"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:f0d0591a0aeaefdaf9a5e545e7485f89910c977087e7de2b6c388aec32011e9f"},
|
||||
{file = "pillow-10.3.0-cp310-cp310-win_arm64.whl", hash = "sha256:ccce24b7ad89adb5a1e34a6ba96ac2530046763912806ad4c247356a8f33a67b"},
|
||||
{file = "pillow-10.3.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:5f77cf66e96ae734717d341c145c5949c63180842a545c47a0ce7ae52ca83795"},
|
||||
{file = "pillow-10.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e4b878386c4bf293578b48fc570b84ecfe477d3b77ba39a6e87150af77f40c57"},
|
||||
{file = "pillow-10.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27"},
|
||||
{file = "pillow-10.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9797a6c8fe16f25749b371c02e2ade0efb51155e767a971c61734b1bf6293994"},
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||||
{file = "pillow-10.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:9e91179a242bbc99be65e139e30690e081fe6cb91a8e77faf4c409653de39451"},
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||||
{file = "pillow-10.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:1b87bd9d81d179bd8ab871603bd80d8645729939f90b71e62914e816a76fc6bd"},
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||||
{file = "pillow-10.3.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:81d09caa7b27ef4e61cb7d8fbf1714f5aec1c6b6c5270ee53504981e6e9121ad"},
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||||
{file = "pillow-10.3.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c"},
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||||
{file = "pillow-10.3.0-cp311-cp311-win32.whl", hash = "sha256:7161ec49ef0800947dc5570f86568a7bb36fa97dd09e9827dc02b718c5643f09"},
|
||||
{file = "pillow-10.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:8eb0908e954d093b02a543dc963984d6e99ad2b5e36503d8a0aaf040505f747d"},
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||||
{file = "pillow-10.3.0-cp311-cp311-win_arm64.whl", hash = "sha256:4e6f7d1c414191c1199f8996d3f2282b9ebea0945693fb67392c75a3a320941f"},
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{file = "pillow-10.3.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:e46f38133e5a060d46bd630faa4d9fa0202377495df1f068a8299fd78c84de84"},
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||||
{file = "pillow-10.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:50b8eae8f7334ec826d6eeffaeeb00e36b5e24aa0b9df322c247539714c6df19"},
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||||
{file = "pillow-10.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d3bea1c75f8c53ee4d505c3e67d8c158ad4df0d83170605b50b64025917f338"},
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||||
{file = "pillow-10.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19aeb96d43902f0a783946a0a87dbdad5c84c936025b8419da0a0cd7724356b1"},
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||||
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||||
{file = "pillow-10.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a"},
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]
|
||||
|
||||
[package.extras]
|
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docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
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docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
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||||
fpx = ["olefile"]
|
||||
mic = ["olefile"]
|
||||
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
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@@ -2243,18 +2262,18 @@ xmp = ["defusedxml"]
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||||
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[[package]]
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||||
name = "playwright"
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version = "1.44.0"
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version = "1.45.1"
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description = "A high-level API to automate web browsers"
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optional = false
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python-versions = ">=3.8"
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files = [
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]
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[package.dependencies]
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@@ -2688,29 +2707,29 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
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||||
|
||||
[[package]]
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||||
name = "ruff"
|
||||
version = "0.5.0"
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||||
version = "0.5.5"
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||||
description = "An extremely fast Python linter and code formatter, written in Rust."
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optional = false
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python-versions = ">=3.7"
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files = [
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]
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||||
|
||||
[[package]]
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||||
@@ -3637,57 +3656,108 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
|
||||
|
||||
[[package]]
|
||||
name = "zstandard"
|
||||
version = "0.22.0"
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||||
version = "0.23.0"
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||||
description = "Zstandard bindings for Python"
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||||
optional = false
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||||
python-versions = ">=3.8"
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|
||||
{file = "zstandard-0.23.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:9c236e635582742fee16603042553d276cca506e824fa2e6489db04039521e90"},
|
||||
{file = "zstandard-0.23.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a8fffdbd9d1408006baaf02f1068d7dd1f016c6bcb7538682622c556e7b68e35"},
|
||||
{file = "zstandard-0.23.0-cp312-cp312-win32.whl", hash = "sha256:dc1d33abb8a0d754ea4763bad944fd965d3d95b5baef6b121c0c9013eaf1907d"},
|
||||
{file = "zstandard-0.23.0-cp312-cp312-win_amd64.whl", hash = "sha256:64585e1dba664dc67c7cdabd56c1e5685233fbb1fc1966cfba2a340ec0dfff7b"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:576856e8594e6649aee06ddbfc738fec6a834f7c85bf7cadd1c53d4a58186ef9"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:38302b78a850ff82656beaddeb0bb989a0322a8bbb1bf1ab10c17506681d772a"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d2240ddc86b74966c34554c49d00eaafa8200a18d3a5b6ffbf7da63b11d74ee2"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2ef230a8fd217a2015bc91b74f6b3b7d6522ba48be29ad4ea0ca3a3775bf7dd5"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:774d45b1fac1461f48698a9d4b5fa19a69d47ece02fa469825b442263f04021f"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f77fa49079891a4aab203d0b1744acc85577ed16d767b52fc089d83faf8d8ed"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ac184f87ff521f4840e6ea0b10c0ec90c6b1dcd0bad2f1e4a9a1b4fa177982ea"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:c363b53e257246a954ebc7c488304b5592b9c53fbe74d03bc1c64dda153fb847"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:e7792606d606c8df5277c32ccb58f29b9b8603bf83b48639b7aedf6df4fe8171"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a0817825b900fcd43ac5d05b8b3079937073d2b1ff9cf89427590718b70dd840"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:9da6bc32faac9a293ddfdcb9108d4b20416219461e4ec64dfea8383cac186690"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:fd7699e8fd9969f455ef2926221e0233f81a2542921471382e77a9e2f2b57f4b"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:d477ed829077cd945b01fc3115edd132c47e6540ddcd96ca169facff28173057"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fa6ce8b52c5987b3e34d5674b0ab529a4602b632ebab0a93b07bfb4dfc8f8a33"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-win32.whl", hash = "sha256:a9b07268d0c3ca5c170a385a0ab9fb7fdd9f5fd866be004c4ea39e44edce47dd"},
|
||||
{file = "zstandard-0.23.0-cp313-cp313-win_amd64.whl", hash = "sha256:f3513916e8c645d0610815c257cbfd3242adfd5c4cfa78be514e5a3ebb42a41b"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2ef3775758346d9ac6214123887d25c7061c92afe1f2b354f9388e9e4d48acfc"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4051e406288b8cdbb993798b9a45c59a4896b6ecee2f875424ec10276a895740"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2d1a054f8f0a191004675755448d12be47fa9bebbcffa3cdf01db19f2d30a54"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f83fa6cae3fff8e98691248c9320356971b59678a17f20656a9e59cd32cee6d8"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:32ba3b5ccde2d581b1e6aa952c836a6291e8435d788f656fe5976445865ae045"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f146f50723defec2975fb7e388ae3a024eb7151542d1599527ec2aa9cacb152"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1bfe8de1da6d104f15a60d4a8a768288f66aa953bbe00d027398b93fb9680b26"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:29a2bc7c1b09b0af938b7a8343174b987ae021705acabcbae560166567f5a8db"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:61f89436cbfede4bc4e91b4397eaa3e2108ebe96d05e93d6ccc95ab5714be512"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:53ea7cdc96c6eb56e76bb06894bcfb5dfa93b7adcf59d61c6b92674e24e2dd5e"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:a4ae99c57668ca1e78597d8b06d5af837f377f340f4cce993b551b2d7731778d"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:379b378ae694ba78cef921581ebd420c938936a153ded602c4fea612b7eaa90d"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:50a80baba0285386f97ea36239855f6020ce452456605f262b2d33ac35c7770b"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:61062387ad820c654b6a6b5f0b94484fa19515e0c5116faf29f41a6bc91ded6e"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-win32.whl", hash = "sha256:b8c0bd73aeac689beacd4e7667d48c299f61b959475cdbb91e7d3d88d27c56b9"},
|
||||
{file = "zstandard-0.23.0-cp38-cp38-win_amd64.whl", hash = "sha256:a05e6d6218461eb1b4771d973728f0133b2a4613a6779995df557f70794fd60f"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3aa014d55c3af933c1315eb4bb06dd0459661cc0b15cd61077afa6489bec63bb"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0a7f0804bb3799414af278e9ad51be25edf67f78f916e08afdb983e74161b916"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb2b1ecfef1e67897d336de3a0e3f52478182d6a47eda86cbd42504c5cbd009a"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:837bb6764be6919963ef41235fd56a6486b132ea64afe5fafb4cb279ac44f259"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1516c8c37d3a053b01c1c15b182f3b5f5eef19ced9b930b684a73bad121addf4"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:48ef6a43b1846f6025dde6ed9fee0c24e1149c1c25f7fb0a0585572b2f3adc58"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:11e3bf3c924853a2d5835b24f03eeba7fc9b07d8ca499e247e06ff5676461a15"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2fb4535137de7e244c230e24f9d1ec194f61721c86ebea04e1581d9d06ea1269"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8c24f21fa2af4bb9f2c492a86fe0c34e6d2c63812a839590edaf177b7398f700"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:a8c86881813a78a6f4508ef9daf9d4995b8ac2d147dcb1a450448941398091c9"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:fe3b385d996ee0822fd46528d9f0443b880d4d05528fd26a9119a54ec3f91c69"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:82d17e94d735c99621bf8ebf9995f870a6b3e6d14543b99e201ae046dfe7de70"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:c7c517d74bea1a6afd39aa612fa025e6b8011982a0897768a2f7c8ab4ebb78a2"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1fd7e0f1cfb70eb2f95a19b472ee7ad6d9a0a992ec0ae53286870c104ca939e5"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-win32.whl", hash = "sha256:43da0f0092281bf501f9c5f6f3b4c975a8a0ea82de49ba3f7100e64d422a1274"},
|
||||
{file = "zstandard-0.23.0-cp39-cp39-win_amd64.whl", hash = "sha256:f8346bfa098532bc1fb6c7ef06783e969d87a99dd1d2a5a18a892c1d7a643c58"},
|
||||
{file = "zstandard-0.23.0.tar.gz", hash = "sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -3699,4 +3769,4 @@ cffi = ["cffi (>=1.11)"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "947ddff4e2b61b2c8af7d01958f029d32c8122705e13e1edf8e0f39224137868"
|
||||
content-hash = "9090ada80aca0dc6618cb58cd052cff4bc4d691c936bf9cd748655e8c31c658a"
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[tool.poetry]
|
||||
name = 'nonebot-plugin-tetris-stats'
|
||||
version = '1.3.4'
|
||||
version = '1.4.2'
|
||||
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'
|
||||
@@ -12,15 +12,17 @@ license = 'AGPL-3.0'
|
||||
python = '^3.10'
|
||||
nonebot2 = { extras = ["fastapi"], version = "^2.3.0" }
|
||||
nonebot-plugin-alconna = ">=0.48.0"
|
||||
nonebot-plugin-apscheduler = "^0.4.0"
|
||||
nonebot-plugin-localstore = "^0.6.0"
|
||||
nonebot-plugin-apscheduler = ">=0.4,<0.6"
|
||||
nonebot-plugin-localstore = ">=0.6,<0.8"
|
||||
nonebot-plugin-orm = ">=0.1.1,<0.8.0"
|
||||
nonebot-plugin-session = "^0.3.1"
|
||||
nonebot-plugin-session-orm = "^0.2.0"
|
||||
nonebot-plugin-user = "^0.2.0"
|
||||
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"
|
||||
async-lru = "^2.0.4"
|
||||
httpx = "^0.27.0"
|
||||
jinja2 = "^3.1.3"
|
||||
lxml = '^5.1.0'
|
||||
@@ -29,7 +31,7 @@ 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'
|
||||
|
||||
Reference in New Issue
Block a user