mirror of
https://github.com/A-Minos/nonebot-plugin-tetris-stats.git
synced 2026-03-05 05:36:54 +08:00
116 lines
4.5 KiB
Python
116 lines
4.5 KiB
Python
from datetime import timedelta
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from arclet.alconna import Arg
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from nonebot_plugin_alconna import Option, Subcommand, UniMessage
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from nonebot_plugin_orm import get_session
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from nonebot_plugin_session import EventSession
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from nonebot_plugin_session_orm import get_session_persist_id # type: ignore[import-untyped]
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from sqlalchemy import func, select
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from sqlalchemy.orm import selectinload
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from ....db import trigger
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from ....utils.host import HostPage, get_self_netloc
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from ....utils.metrics import get_metrics
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from ....utils.render import render
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from ....utils.render.schemas.tetrio.rank.v1 import Data as DataV1
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from ....utils.render.schemas.tetrio.rank.v1 import ItemData as ItemDataV1
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from ....utils.render.schemas.tetrio.rank.v2 import AverageData as AverageDataV2
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from ....utils.render.schemas.tetrio.rank.v2 import Data as DataV2
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from ....utils.render.schemas.tetrio.rank.v2 import ItemData as ItemDataV2
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from ....utils.screenshot import screenshot
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from .. import alc
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from ..constant import GAME_TYPE
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from ..models import TETRIOLeagueStats
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from ..typing import Template
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from . import command
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command.add(
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Subcommand(
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'--all', Option('--template', Arg('template', Template), alias=['-T'], help_text='要使用的查询模板'), dest='all'
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)
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)
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@alc.assign('TETRIO.rank.all')
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async def _(event_session: EventSession, template: Template = 'v1'):
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async with trigger(
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session_persist_id=await get_session_persist_id(event_session),
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game_platform=GAME_TYPE,
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command_type='rank',
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command_args=['--all'],
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):
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async with get_session() as session:
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latest_data = (
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await session.scalars(
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select(TETRIOLeagueStats)
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.order_by(TETRIOLeagueStats.id.desc())
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.limit(1)
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.options(selectinload(TETRIOLeagueStats.fields))
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)
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).one()
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compare_data = (
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await session.scalars(
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select(TETRIOLeagueStats)
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.order_by(
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func.abs(
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func.julianday(TETRIOLeagueStats.update_time)
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- func.julianday(latest_data.update_time - timedelta(hours=24))
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)
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)
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.limit(1)
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.options(selectinload(TETRIOLeagueStats.fields))
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)
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).one()
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match template:
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case 'v1':
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await UniMessage.image(raw=await make_image_v1(latest_data, compare_data)).finish()
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case 'v2':
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await UniMessage.image(raw=await make_image_v2(latest_data, compare_data)).finish()
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async def make_image_v1(latest_data: TETRIOLeagueStats, compare_data: TETRIOLeagueStats) -> bytes:
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async with HostPage(
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await render(
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'v1/tetrio/rank',
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DataV1(
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items={
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i[0].rank: ItemDataV1(
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trending=round(i[0].tr_line - i[1].tr_line, 2),
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require_tr=round(i[0].tr_line, 2),
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players=i[0].player_count,
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)
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for i in zip(latest_data.fields, compare_data.fields, strict=True)
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},
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updated_at=latest_data.update_time,
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),
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)
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) as page_hash:
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return await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
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async def make_image_v2(latest_data: TETRIOLeagueStats, compare_data: TETRIOLeagueStats) -> bytes:
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async with HostPage(
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await render(
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'v2/tetrio/rank',
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DataV2(
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items={
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i[0].rank: ItemDataV2(
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require_tr=round(i[0].tr_line, 2),
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trending=round(i[0].tr_line - i[1].tr_line, 2),
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average_data=AverageDataV2(
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pps=(metrics := get_metrics(pps=i[0].avg_pps, apm=i[0].avg_apm, vs=i[0].avg_vs)).pps,
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apm=metrics.apm,
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apl=metrics.apl,
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vs=metrics.vs,
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adpl=metrics.adpl,
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),
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players=i[0].player_count,
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)
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for i in zip(latest_data.fields, compare_data.fields, strict=True)
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},
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updated_at=latest_data.update_time,
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),
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)
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) as page_hash:
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return await screenshot(f'http://{get_self_netloc()}/host/{page_hash}.html')
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