mirror of
https://github.com/TriM-Organization/LiteyukiBot-TriM.git
synced 2024-11-14 19:37:44 +08:00
164 lines
4.7 KiB
Python
164 lines
4.7 KiB
Python
import datetime
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import time
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import aiohttp
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from nonebot import require
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from nonebot.plugin import PluginMetadata
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from liteyuki.utils.base.config import get_config
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from liteyuki.utils.base.data import Database, LiteModel
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from liteyuki.utils.base.resource import get_path
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from liteyuki.utils.message.html_tool import template2image
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require("nonebot_plugin_alconna")
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require("nonebot_plugin_apscheduler")
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from nonebot_plugin_apscheduler import scheduler
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from nonebot_plugin_alconna import Alconna, AlconnaResult, CommandResult, Subcommand, UniMessage, on_alconna, Args
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__author__ = "snowykami"
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__plugin_meta__ = PluginMetadata(
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name="签名服务器状态",
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description="适用于ntqq的签名状态查看",
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usage=(
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"sign count 查看当前签名数\n"
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"sign data 查看签名数变化\n"
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"sign chart [limit] 查看签名数变化图表\n"
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),
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type="application",
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homepage="https://github.com/snowykami/LiteyukiBot",
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extra={
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"liteyuki" : True,
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"toggleable" : True,
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"default_enable": True,
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}
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)
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SIGN_COUNT_URLS: dict[str, str] = get_config("sign_count_urls", None)
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SIGN_COUNT_DURATION = get_config("sign_count_duration", 10)
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class SignCount(LiteModel):
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TABLE_NAME: str = "sign_count"
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time: float = 0.0
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count: int = 0
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sid: str = ""
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sign_db = Database("data/liteyuki/ntqq_sign.ldb")
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sign_db.auto_migrate(SignCount())
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sign_status = on_alconna(Alconna(
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"sign",
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Subcommand(
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"chart",
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Args["limit", int, 10000]
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),
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Subcommand(
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"count"
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),
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Subcommand(
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"data"
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)
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))
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cache_img: bytes = None
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@sign_status.assign("count")
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async def _():
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reply = "Current sign count:"
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for name, count in (await get_now_sign()).items():
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reply += f"\n{name}: {count[1]}"
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await sign_status.send(reply)
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@sign_status.assign("data")
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async def _():
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query_stamp = [1, 5, 10, 15]
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reply = "QPS from last " + ", ".join([str(i) for i in query_stamp]) + "mins"
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for name, url in SIGN_COUNT_URLS.items():
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count_data = []
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for stamp in query_stamp:
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count_rows = sign_db.where_all(SignCount(), "sid = ? and time > ?", url, time.time() - 60 * stamp)
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if len(count_rows) < 2:
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count_data.append(-1)
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else:
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count_data.append((count_rows[-1].count - count_rows[0].count)/(stamp*60))
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reply += f"\n{name}: " + ", ".join([f"{i:.1f}" for i in count_data])
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await sign_status.send(reply)
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@sign_status.assign("chart")
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async def _(arp: CommandResult = AlconnaResult()):
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limit = arp.result.subcommands.get("chart").args.get("limit")
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if limit == 10000:
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if cache_img:
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await sign_status.send(UniMessage.image(raw=cache_img))
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return
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img = await generate_chart(limit)
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await sign_status.send(UniMessage.image(raw=img))
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@scheduler.scheduled_job("interval", seconds=SIGN_COUNT_DURATION, next_run_time=datetime.datetime.now())
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async def update_sign_count():
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global cache_img
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if not SIGN_COUNT_URLS:
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return
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data = await get_now_sign()
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for name, count in data.items():
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await save_sign_count(count[0], count[1], SIGN_COUNT_URLS[name])
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cache_img = await generate_chart(10000)
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async def get_now_sign() -> dict[str, tuple[float, int]]:
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"""
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Get the sign count and the time of the latest sign
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Returns:
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tuple[float, int] | None: (time, count)
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"""
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data = {}
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now = time.time()
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async with aiohttp.ClientSession() as client:
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for name, url in SIGN_COUNT_URLS.items():
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async with client.get(url) as resp:
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count = (await resp.json())["count"]
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data[name] = (now, count)
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return data
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async def save_sign_count(timestamp: float, count: int, sid: str):
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"""
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Save the sign count to the database
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Args:
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sid: the sign id, use url as the id
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count:
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timestamp (float): the time of the sign count (int): the count of the sign
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"""
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sign_db.save(SignCount(time=timestamp, count=count, sid=sid))
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async def generate_chart(limit):
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data = []
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for name, url in SIGN_COUNT_URLS.items():
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count_rows = sign_db.where_all(SignCount(), "sid = ? ORDER BY id DESC LIMIT ?", url, limit)
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count_rows.reverse()
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data.append(
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{
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"name" : name,
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# "data": [[row.time, row.count] for row in count_rows]
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"times" : [row.time for row in count_rows],
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"counts": [row.count for row in count_rows]
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}
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)
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img = await template2image(
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template=get_path("templates/sign_status.html"),
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templates={
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"data": data
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},
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)
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return img
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