🔖 1.1.1

* 🔥 删除现有模板

* ✨ 自动克隆模板仓库

* 🔥 删除 identicon 相关代码

* 🚚 修改静态文件路径

* ✨ 使用新模板进行渲染

* ✨ 每次渲染都获取一次模板, 以应对实时更新

* ✨ TETR.IO 绑定图使用新模板

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* 🐛 Pydantic V1 会把 float 转换成 int

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* ✨ 兼容 Pydantic V1

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* 🐛 在查询的用户没有历史记录时不去查询更多记录

.github/dependabot.yml

@@ -0,0 +1,12 @@
+# To get started with Dependabot version updates, you'll need to specify which
+# package ecosystems to update and where the package manifests are located.
+# Please see the documentation for all configuration options:
+# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
+
+version: 2
+updates:
+  - package-ecosystem: "pip" # See documentation for possible values
+    directory: "/" # Location of package manifests
+    target-branch: "main"
+    schedule:
+      interval: "daily"

.github/workflows/Release.yml

@@ -0,0 +1,49 @@
+name: Release CI
+
+on:
+  push:
+    tags:
+      - "*"
+
+jobs:
+  release:
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+      contents: write
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Install poetry
+        run: pipx install poetry
+        shell: bash
+
+      - uses: actions/setup-python@v4
+        with:
+          python-version: '3.11'
+          cache: "poetry"
+
+      - run: poetry install
+        shell: bash
+
+      - name: Get Version
+        id: version
+        run: |
+          echo "VERSION=$(poetry version -s)" >> $GITHUB_OUTPUT
+          echo "TAG_VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT
+          echo "TAG_NAME=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT
+
+      - name: Check Version
+        if: steps.version.outputs.VERSION != steps.version.outputs.TAG_VERSION
+        run: exit 1
+
+      - name: Build Package
+        run: poetry build
+
+      - name: Publish Package to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+
+      - name: Publish Package to GitHub Release
+        run: gh release create ${{ steps.version.outputs.TAG_NAME }} dist/*.tar.gz dist/*.whl -t "🔖 ${{ steps.version.outputs.TAG_NAME }}" --generate-notes
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/codeql-analysis.yml

@@ -0,0 +1,72 @@
+# For most projects, this workflow file will not need changing; you simply need
+# to commit it to your repository.
+#
+# You may wish to alter this file to override the set of languages analyzed,
+# or to provide custom queries or build logic.
+#
+# ******** NOTE ********
+# We have attempted to detect the languages in your repository. Please check
+# the `language` matrix defined below to confirm you have the correct set of
+# supported CodeQL languages.
+#
+name: "CodeQL"
+
+on:
+  push:
+    branches: [ main ]
+  pull_request:
+    # The branches below must be a subset of the branches above
+    branches: [ main ]
+  schedule:
+    - cron: '17 6 * * 5'
+
+jobs:
+  analyze:
+    name: Analyze
+    runs-on: ubuntu-latest
+    permissions:
+      actions: read
+      contents: read
+      security-events: write
+
+    strategy:
+      fail-fast: false
+      matrix:
+        language: [ 'python' ]
+        # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
+        # Learn more about CodeQL language support at https://aka.ms/codeql-docs/language-support
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v3
+
+    # Initializes the CodeQL tools for scanning.
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@v2
+      with:
+        languages: ${{ matrix.language }}
+        # If you wish to specify custom queries, you can do so here or in a config file.
+        # By default, queries listed here will override any specified in a config file.
+        # Prefix the list here with "+" to use these queries and those in the config file.
+        
+        # Details on CodeQL's query packs refer to : https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
+        # queries: security-extended,security-and-quality
+
+        
+    # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
+    # If this step fails, then you should remove it and run the build manually (see below)
+    - name: Autobuild
+      uses: github/codeql-action/autobuild@v2
+
+    # ℹ️ Command-line programs to run using the OS shell.
+    # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
+
+    #   If the Autobuild fails above, remove it and uncomment the following three lines. 
+    #   modify them (or add more) to build your code if your project, please refer to the EXAMPLE below for guidance.
+
+    # - run: |
+    #   echo "Run, Build Application using script"
+    #   ./location_of_script_within_repo/buildscript.sh
+
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@v2

.gitignore

@@ -1 +1,21 @@
+.idea
 dist
+test_*
+Untitled*
+*copy*
+.vscode
+*dev*
+*_cache*
+*backup*
+*.pyc
+node_modules
+.prettier*
+package.json
+pnpm-lock.yaml
+*.drawio.svg
+package-lock.json
+*Zone.Identifier
+.env*
+bot.py
+TODO
+*.fish

LICENSE

@@ -0,0 +1,661 @@
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
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+software and other kinds of works, specifically designed to ensure
+cooperation with the community in the case of network server software.
+
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+to take away your freedom to share and change the works.  By contrast,
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+
+  When we speak of free software, we are referring to freedom, not
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+
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+
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+users of that server.  Therefore, public use of a modified version, on
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+
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+
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+
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+
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+
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+not convey it at all.  For example, if you agree to terms that obligate you
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+Program, your modified version must prominently offer all users
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+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

README.md

@@ -1,40 +1,89 @@
-TETRIS Stats
-============
+<div align="center">
 
-一个基于nonebot2的用于查询TETRIS相关游戏玩家数据的插件  
-目前支持
-* [TETR.IO](https://tetr.io/)
-* [茶服](https://teatube.cn/tos/)
+<p align="center">
+  <img src="img/logo.svg" width="200" height="200" alt="logo" title="Tetris Stats"></a>
+</p>
 
-计划支持
-* [TOP](http://tetrisonline.pl/)
+# Tetris Stats
 
-安装
-----
+✨ 一款基于 [NoneBot2](https://github.com/nonebot/nonebot2) 的用于查询 Tetris 相关游戏玩家数据的插件 ✨
 
-* 使用 pip
+</div>
 
+<p align="center">
+<a href="https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats/blob/main/LICENSE">
+  <img
+    src="https://img.shields.io/github/license/shoucandanghehe/nonebot-plugin-tetris-stats"
+    alt="License"
+  />
+</a>
+<a href="https://www.python.org/">
+  <img
+    src="https://img.shields.io/badge/Python-3.10+-blue"
+    alt="Python"
+  />
+</a>
+<a href="https://pypi.python.org/pypi/nonebot-plugin-tetris-stats">
+  <img
+    src="https://img.shields.io/pypi/v/nonebot-plugin-tetris-stats"
+    alt="PyPi"
+  />
+</a>
+<a href="https://github.com/charliermarsh/ruff">
+  <img
+    src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v1.json"
+    alt="Ruff"
+  />
+</a>
+<a href="https://gitmoji.dev">
+  <img
+    src="https://img.shields.io/badge/gitmoji-%20😜%20😍-FFDD67.svg?style=flat-square"
+    alt="Gitmoji"
+  />
+</a>
+<a href="https://wakatime.com/badge/user/138b2226-8e02-42be-b99d-35c05198836f/project/65f5bdf7-45ec-479a-8dd2-18c498c910ca">
+  <img
+    src="https://wakatime.com/badge/user/138b2226-8e02-42be-b99d-35c05198836f/project/65f5bdf7-45ec-479a-8dd2-18c498c910ca.svg"
+    alt="wakatime"
+    />
+</a>
+</p>
+
+## ✨ 目前支持的游戏
+
+- [TETR.IO](https://tetr.io/)
+- [茶服](https://teatube.cn/tos/)
+- [TOP](http://tetrisonline.pl/)
+
+## 🚀 安装
+
+- 使用 nb-cli
+
+```bash
+nb plugin install nonebot-plugin-tetris-stats
 ```
+
+- 使用 poetry
+
+```bash
+poetry add nonebot-plugin-tetris-stats
+```
+
+- 使用 pip ~~不推荐~~
+
+```bash
 pip install nonebot-plugin-tetris-stats
 ```
 
-使用
-----
+## ♿️ 使用
 
-参考NoneBot2文档 [加载插件](https://v2.nonebot.dev/docs/tutorial/plugin/load-plugin/)
+- 参考 NoneBot2 文档 [加载插件](https://nonebot.dev/docs/tutorial/create-plugin#%E5%8A%A0%E8%BD%BD%E6%8F%92%E4%BB%B6)
 
-依赖
-----
+## 🎉 鸣谢
 
-目前只支持 `OneBot V11` 协议
+- [NoneBot2](https://v2.nonebot.dev/)
+- 所有为机器人生态做出贡献的人❤️
 
-鸣谢
-----
+## 📝 开源
 
-* [NoneBot2](https://v2.nonebot.dev/)
-* [OneBot](https://onebot.dev/)
-
-开源
-----
-
-本项目使用[MIT](https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats/blob/main/LICENSE)许可证开源
+本项目使用 [AGPL-3.0](https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats/blob/main/LICENSE) 许可证开源

img/logo.svg

@@ -0,0 +1,7 @@
+<svg width="71" height="71" viewBox="0 0 71 71" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M53.1133 39.2642L42.3935 49.9446C41.8086 50.5274 41.5161 50.8188 41.1788 50.928C40.8822 51.024 40.5626 51.024 40.2659 50.928C39.9287 50.8188 39.6362 50.5274 39.0512 49.9446L30.2776 41.2032L21.5041 49.9446C20.9191 50.5274 20.6266 50.8188 20.2893 50.928C19.9927 51.024 19.6731 51.024 19.3764 50.928C19.0392 50.8188 18.7467 50.5274 18.1617 49.9446L16.1772 47.9673L30.2776 33.9187L39.2299 42.8381C40.0952 43.7002 41.498 43.7002 42.3633 42.8381L53.1133 32.1276V39.2642Z" fill="#EA5252"/>
+<path d="M57.5446 34.8491L59.9407 32.4618C60.5256 31.879 60.8181 31.5876 60.9277 31.2516C61.0241 30.956 61.0241 30.6376 60.9277 30.342C60.8181 30.006 60.5256 29.7146 59.9407 29.1318L57.5439 26.7438C57.5444 26.7619 57.5446 26.78 57.5446 26.7982L57.5446 34.8491Z" fill="#EA5252"/>
+<path d="M55.3835 24.5913C55.3653 24.5908 55.3472 24.5906 55.3289 24.5906L46.9514 24.5906L49.4959 22.0554C50.0809 21.4726 50.3734 21.1812 50.7107 21.072C51.0073 20.976 51.3269 20.976 51.6236 21.072C51.9608 21.1812 52.2533 21.4726 52.8383 22.0554L55.3835 24.5913Z" fill="#EA5252"/>
+<path d="M42.5201 29.0057L40.7224 30.7968L31.9488 22.0554C31.3638 21.4726 31.0714 21.1812 30.7341 21.072C30.4374 20.976 30.1179 20.976 29.8212 21.072C29.4839 21.1812 29.1914 21.4726 28.6065 22.0554L11.0593 39.5382C10.4744 40.121 10.1819 40.4124 10.0723 40.7484C9.9759 41.044 9.9759 41.3624 10.0723 41.658C10.1819 41.994 10.4744 42.2854 11.0593 42.8682L13.0438 44.8454L28.7109 29.2358C29.5762 28.3737 30.9791 28.3737 31.8443 29.2358L40.7966 38.1552L49.9799 29.0057H42.5201Z" fill="#EA5252"/>
+<circle cx="35.5" cy="35.5" r="29.5" stroke="#EA5252" stroke-width="2"/>
+</svg>

nonebot_plugin_tetris_stats/IODataProcessing.py

@@ -1,137 +0,0 @@
-from nonebot.log import logger
-
-from asyncio import gather
-import aiohttp
-
-# 封装请求函数
-async def request(Url: str) -> dict[str, bool|dict[str, any]]:
-    data = {}
-    try:
-        async with aiohttp.ClientSession() as session:
-            async with session.get(Url) as resp:
-                data['Status'] = True
-                data['Data'] = await resp.json()
-                data['Success'] = data['Data']['success']
-    except aiohttp.client_exceptions.ClientConnectorError as e:
-        logger.error(f'[TETRIS STATS] IODataProcessing.request: 请求错误\n{e}')
-        data['Status'] = False
-    finally:
-        return data
-
-# 获取用户数据
-async def getUserData(userName: str = None, userID: str = None) -> dict[str, dict[str, any]]:
-    if userName is not None and userID is None:
-        userDataUrl = f'https://ch.tetr.io/api/users/{userName}'
-        userData = await request(Url=userDataUrl)
-    elif userName is None and userID is not None:
-        userDataUrl = f'https://ch.tetr.io/api/users/{userID}'
-        userData = await request(Url=userDataUrl)
-    else:
-        raise ValueError('[TETRIS STATS] IODataProcessing.getUserData: 参数错误')
-    return userData
-
-# 获取Solo数据
-async def getSoloData(userName: str = None, userID: str = None) -> dict[str, dict[str, any]]:
-    if userName is not None and userID is None:
-        userSoloUrl = f'https://ch.tetr.io/api/users/{userName}/records'
-        soloData = await request(Url = userSoloUrl)
-    elif userName is None and userID is not None:
-        userSoloUrl = f'https://ch.tetr.io/api/users/{userID}/records'
-        soloData = await request(Url = userSoloUrl)
-    else:
-        raise ValueError('[TETRIS STATS] IODataProcessing.getSoloData: 参数错误')
-    return soloData
-
-# 获取用户ID
-async def getUserID(userData: dict = None, userName: str = None) -> str:
-    if userName is not None and userData is None:
-        userData = await getUserData(userName=userName)
-    elif userData is None and userName is None:
-        raise ValueError('[TETRIS STATS] IODataProcessing.getUserID: 参数错误')
-    return userData['Data']['data']['user']['_id']
-
-# 获取排位统计数据
-async def getLeagueStats(userData: dict) -> dict[str, bool|int|str|float]:
-    league = userData['Data']['data']['user']['league']
-    leagueStats = {}
-    if league['gamesplayed'] == 0:
-        leagueStats['Played'] = False
-    else:
-        leagueStats['Played'] = True
-        leagueStats['PPS'] = league['pps']
-        leagueStats['APM'] = league['apm']
-        leagueStats['VS'] = 0 if league['vs'] is None else league['vs']
-        leagueStats['Rank'] = False if league['rank'] == 'z' else league['rank'].upper()
-        if league['rating'] != -1:
-            leagueStats['Ranked'] = True
-            leagueStats['Rating'] = round(league['rating'], 2)
-            leagueStats['Glicko'] = round(league['glicko'], 2)
-            leagueStats['RD'] = round(league['rd'], 2)
-        else:
-            leagueStats['Ranked'] = False
-        leagueStats['Standing'] = league['standing']
-        leagueStats['LPM'] = round((league['pps'] * 24), 2)
-        leagueStats['APL'] = round((leagueStats['APM'] / leagueStats['LPM']), 2)
-        leagueStats['ADPM'] = round((leagueStats['VS'] * 0.6), 2)
-        leagueStats['ADPL'] = round((leagueStats['ADPM'] / leagueStats['LPM']), 2)
-    return leagueStats
-
-# 获取40L统计数据
-async def getSprintStats(soloData: dict) -> dict[str, bool|int|float]:
-    sprintStats = {}
-    if soloData['Data']['data']['records']['40l']['record'] is None:
-        sprintStats['Played'] = False
-    else:
-        sprintStats['Played'] = True
-        sprintStats['Rank'] = False if soloData['Data']['data']['records']['40l']['rank'] is None else soloData['Data']['data']['records']['40l']['rank']
-        sprintStats['Time'] = round(soloData['Data']['data']['records']['40l']['record']['endcontext']['finalTime'] / 1000, 2)
-    return sprintStats
-
-# 获取Blitz统计数据
-async def getBlitzStats(soloData: dict) -> dict[str, bool|int]:
-    blitzStats = {}
-    if soloData['Data']['data']['records']['blitz']['record'] is None:
-        blitzStats['Played'] = False
-    else:
-        blitzStats['Played'] = True
-        blitzStats['Rank'] = False if soloData['Data']['data']['records']['blitz']['rank'] is None else soloData['Data']['data']['records']['blitz']['rank']
-        blitzStats['Score'] = soloData['Data']['data']['records']['blitz']['record']['endcontext']['score']
-    return blitzStats
-
-# 生成消息
-async def generateMessage(userName: str = None, userID: str = None) -> str:
-    userData, soloData = await gather(getUserData(userName = userName, userID = userID), getSoloData(userName = userName, userID = userID))
-    if userData['Status'] is False:
-        return '用户信息请求失败'
-    if userData['Success'] is False:
-        return f'用户信息请求错误:\n{userData["Data"]["error"]}'
-    userName = userData['Data']['data']['user']['username'].upper()
-    leagueStats = await getLeagueStats(userData)
-    message = ''
-    if leagueStats['Played'] is False:
-        message += f'用户 {userName} 没有排位统计数据'
-    else:
-        if leagueStats['Rank'] is False and leagueStats['Ranked'] is False:
-            message += f'用户 {userName} 暂未完成定级赛'
-        elif leagueStats['Rank'] is False and leagueStats['Ranked'] is True:
-            message += f'用户 {userName} 暂无段位, {leagueStats["Rating"]} TR'
-        else:
-            message += f'{leagueStats["Rank"]} 段用户 {userName} {leagueStats["Rating"]} TR (#{leagueStats["Standing"]})'
-        message += f', 段位分 {leagueStats["Glicko"]}±{leagueStats["RD"]}, 最近十场的数据:' if leagueStats['Ranked'] is True else ', 最近十场的数据:'
-        message += f'\nL\'PM: {leagueStats["LPM"]} ( {leagueStats["PPS"]} pps )'
-        message += f'\nAPM: {leagueStats["APM"]} ( x{leagueStats["APL"]} )'
-        if leagueStats["VS"] != 0:
-            message += f'\nADPM: {leagueStats["ADPM"]} ( x{leagueStats["ADPL"]} ) ( {leagueStats["VS"]}vs )'
-    if soloData['Status'] is False:
-        return f'{message}\nSolo统计数据请求失败'
-    sprintStats = await getSprintStats(soloData)
-    blitzStats = await getBlitzStats(soloData)
-    if sprintStats['Played'] is True:
-        message += f'\n40L: {sprintStats["Time"]}s'
-        if sprintStats['Rank'] is not False:
-            message += f' ( #{sprintStats["Rank"]} )'
-    if blitzStats['Played'] is True:
-        message += f'\nBlitz: {blitzStats["Score"]}'
-        if blitzStats['Rank'] is not False:
-            message += f' ( #{blitzStats["Rank"]} )'
-    return message

nonebot_plugin_tetris_stats/MessageAnalyzer.py

@@ -1,69 +0,0 @@
-from re import match
-
-# userBind
-async def handleBindMessage(message: str, gameType: str) -> dict[str, bool | str]:
-    _CMD_ALIASES = {'IO': ['io绑定', 'iobind'],
-                    'TOP': ['top绑定', 'topbind']}
-    # 剔除命令前缀
-    for i in _CMD_ALIASES[gameType]:
-        if message.startswith(i):
-            message = message.replace(i, '')
-            message = message.strip()
-            break
-    if message == '' or message.isspace():
-        return {'Success': False, 'Type': None, 'Message': '用户名为空'}
-    else:
-        return await checkName(message, gameType)
-
-# statsQuery
-async def handleStatsQueryMessage(message: str, gameType: str) -> dict[str, bool | str]:
-    _CMD_ALIASES = {'IO': ['io查', 'iostats'],
-                    'TOS': ['tos查', 'tostats', '茶服查', '茶服stats'],
-                    'TOP': ['top查', 'topstats']}
-    _ME = ['我', '自己', '私', '俺', 'me']
-    message = (message.strip()).lower()
-    # 剔除命令前缀
-    for i in _CMD_ALIASES[gameType]:
-        if message.startswith(i):
-            message = message.replace(i, '')
-            message = message.strip()
-            break
-    if message == '' or message.isspace():
-        return {'Success': False, 'Type': None, 'Message': '用户名为空'}
-    else:
-        if message.startswith('[cq:at,qq='):
-            try:
-                QQNumber = int((str(message)).split(
-                    '[cq:at,qq=')[1].split(']')[0])
-            except ValueError:
-                return {'Success': False, 'Type': None, 'Message': 'QQ号码不合法'}
-            else:
-                return {'Success': True, 'Type': 'AT', 'Message': None, 'QQNumber': QQNumber}
-        elif message in _ME:
-            return {'Success': True, 'Type': 'ME', 'Message': None}
-        else:
-            return await checkName(message, gameType)
-
-async def checkName(name: str, gameType: str) -> dict[str, bool | str]:
-    if gameType == 'IO':
-        if match(r'^[a-f0-9]{24}$', name):
-            return {'Success': True, 'Type': 'ID', 'Message': None, 'User': name}
-        elif match(r'^[a-zA-Z0-9_-]{3,16}$', name):
-            return {'Success': True, 'Type': 'Name', 'Message': None, 'User': name}
-        else:
-            return {'Success': False, 'Type': None, 'Message': '用户名不合法'}
-    elif gameType == 'TOP':
-        if match(r'^[a-zA-Z0-9_]{1,16}$', name):
-            return {'Success': True, 'Type': 'Name', 'Message': None, 'User': name}
-        else:
-            return {'Success': False, 'Type': None, 'Message': '用户名不合法'}
-    elif gameType == 'TOS':
-        if (match(r'^(?!\.)(?!com[0-9]$)(?!con$)(?!lpt[0-9]$)(?!nul$)(?!prn$)[^\-][^\+][^\|\*\?\\\s\!:<>/$"]*[^\.\|\*\?\\\s\!:<>/$"]+$', name)
-            and name.isdigit() is False
-            and 2 <= len(name) <= 18):
-            # 虽然我也不想这么长 但是似乎确实得这么长
-            return {'Success': True, 'Type': 'Name', 'Message': None, 'User': name}
-        elif name.isdigit() is True:
-            return {'Success': True, 'Type': 'QQ', 'Message': None, 'QQNumber': name}
-        else:
-            return {'Success': False, 'Type': None, 'Message': '用户名不合法'}

nonebot_plugin_tetris_stats/SQL.py

@@ -1,52 +0,0 @@
-from nonebot.log import logger
-
-import sqlite3
-import os
-
-_DB_FILE = 'data/nonebot-plugin-tetris-stats/data.db'
-
-# 初始化数据库
-async def initDB():
-    if not os.path.exists(os.path.dirname(_DB_FILE)):
-        os.makedirs(os.path.dirname(_DB_FILE))
-    db = sqlite3.connect(_DB_FILE)
-    cursor = db.cursor()
-    cursor.execute('''CREATE TABLE IF NOT EXISTS IOBIND
-                    (QQ INTEGER NOT NULL,
-                    USER TEXT NOT NULL)''')
-    cursor.execute('''CREATE TABLE IF NOT EXISTS TOPBIND
-                    (QQ INTEGER NOT NULL,
-                    USER TEXT NOT NULL)''')
-    db.commit()
-    db.close()
-    logger.info('数据库初始化完成')
-
-# 查询绑定信息
-async def queryBindInfo(QQNumber: int, gameType: str) -> dict:
-    db = sqlite3.connect(_DB_FILE)
-    cursor = db.cursor()
-    cursor.execute(f'SELECT USER FROM {gameType}BIND WHERE QQ = {QQNumber}')
-    user = cursor.fetchone()
-    db.commit()
-    db.close()
-    if user is None:
-        return {'Hit': False, 'User': None}
-    else:
-        return {'Hit': True, 'User': user[0]}
-
-# 写入绑定信息
-async def writeBindInfo(QQNumber: int, user: str, gameType: str) -> str:
-    info = await queryBindInfo(QQNumber, gameType)
-    db = sqlite3.connect(_DB_FILE)
-    cursor = db.cursor()
-    if info['Hit'] is True:
-        cursor.execute(
-            f'UPDATE {gameType}BIND SET USER = ? WHERE QQ = ?', (user, QQNumber))
-        message = '更新成功'
-    elif info['Hit'] is False:
-        cursor.execute(
-            f'INSERT INTO {gameType}BIND (QQ, USER) VALUES (?, ?)', (QQNumber, user))
-        message = '绑定成功'
-    db.commit()
-    db.close()
-    return message

nonebot_plugin_tetris_stats/TOSDataProcessing.py

@@ -1,143 +0,0 @@
-from nonebot.log import logger
-
-from asyncio import gather
-import aiohttp
-
-# 封装请求函数
-async def request(Url: str) -> dict[str, bool|dict[str, any]]:
-    data = {}
-    try:
-        async with aiohttp.ClientSession() as session:
-            async with session.get(Url) as resp:
-                data['Status'] = True
-                data['Data'] = await resp.json()
-                data['Success'] = data['Data']['success']
-    except aiohttp.client_exceptions.ClientConnectorError as e:
-        logger.error(f'[TETRIS STATS] TOSDataProcessing.request: 请求错误\n{e}')
-        data['Status'] = False
-    finally:
-        return data
-
-# 获取用户信息
-async def getUserInfo(userName: str = None, teaID: int = None) -> dict[str, bool|dict[str, any]]:
-    if userName is not None and teaID is None:
-        userDataUrl = f'https://teatube.cn:8888/getUsernameInfo?username={userName}'
-        userInfo = await request(Url=userDataUrl)
-    elif teaID is not None and userName is None:
-        userDataUrl = f'https://teatube.cn:8888/getTeaIdInfo?teaId={teaID}'
-        userInfo = await request(Url=userDataUrl)
-    else:
-        raise ValueError('[TETRIS STATS] TOSDataProcessing.getUserInfo: 参数错误')
-    return userInfo
-
-# 获取用户数据
-async def getUserData(userName: str = None, teaID: int = None, otherParameter: str = '') -> dict[str, bool|dict[str, any]]:
-    if userName is not None and teaID is None:
-        userDataUrl = f'https://teatube.cn:8888/getProfile?id={userName}{otherParameter}'
-        userData = await request(Url=userDataUrl)
-    elif teaID is not None and userName is None:
-        userDataUrl = f'https://teatube.cn:8888/getProfile?id={teaID}{otherParameter}'
-        userData = await request(Url=userDataUrl)
-    else:
-        raise ValueError('[TETRIS STATS] TOSDataProcessing.getUserData: 参数错误')
-    return userData
-
-# 获取Rank数据
-async def getRankStats(userInfo: dict) -> dict[str, bool|float]:
-    rankStats = {}
-    if int(userInfo['Data']['data']['rankedGames']) == 0:
-        rankStats['Played'] = False
-    else:
-        rankStats['Played'] = True
-        rankStats['Rating'] = round(float(userInfo['Data']['data']['ratingNow']), 2)
-        rankStats['RD'] = round(float(userInfo['Data']['data']['rdNow']), 2)
-        rankStats['Vol'] = round(float(userInfo['Data']['data']['volNow']), 3)
-    return rankStats
-
-# 获取游戏数据
-async def getGameData(userData: dict) -> dict[str, bool|int|float]:
-    gameData = {}
-    if userData['Data']['data'] == []:
-        gameData['Played'] = False
-    else:
-        gameData['Played'] = True
-        weightedTotalLpm = weightedTotalApm = weightedTotalAdpm = weightedTotalTime = num = 0
-        for i in userData['Data']['data']:
-            # 排除单人局和时间为0的游戏
-            if i['num_players'] == 1 or i['time'] == 0:
-                continue
-            # 茶：不计算没挖掘的局，即使apm和lpm也如此
-            if i['dig'] is None:
-                break
-            # 加权计算
-            time = i['time'] / 1000
-            lpm = 24 * (i['pieces'] / time)
-            apm = (i['attack'] / time) * 60
-            adpm = ((i['attack'] + i['dig']) / time) * 60
-            weightedTotalLpm += lpm * time
-            weightedTotalApm += apm * time
-            weightedTotalAdpm += adpm * time
-            weightedTotalTime += time
-            num += 1
-            if num == 50:
-                break
-        gameData['NUM'] = num
-        gameData['LPM'] = round((weightedTotalLpm / weightedTotalTime), 2)
-        gameData['APM'] = round((weightedTotalApm / weightedTotalTime), 2)
-        gameData['ADPM'] = round((weightedTotalAdpm / weightedTotalTime), 2)
-        gameData['PPS'] = round((gameData['LPM'] / 24), 2)
-        gameData['APL'] = round((gameData['APM'] / gameData['LPM']), 2)
-        gameData['ADPL'] = round((gameData['ADPM'] / gameData['LPM']), 2)
-        gameData['VS'] = round((gameData['ADPM'] / 60 * 100), 2)
-        # TODO: 如果有效局数不满50, 没有无dig信息的局, 且userData['Data']['data']内有50个局, 则继续往前获取信息
-    return gameData
-
-# 获取PB数据
-async def getPBData(userInfo: dict) -> dict[str, bool|float|str]:
-    PBData = {}
-    if int(userInfo['Data']['data']['PBSprint']) == 2147483647:
-        PBData['Sprint'] = False
-    else:
-        PBData['Sprint'] = round(float(userInfo['Data']['data']['PBSprint']) / 1000, 2)
-    if int(userInfo['Data']['data']['PBMarathon']) == 0:
-        PBData['Marathon'] = False
-    else:
-        PBData['Marathon'] = userInfo['Data']['data']['PBMarathon']
-    if int(userInfo['Data']['data']['PBChallenge']) == 0:
-        PBData['Challenge'] = False
-    else:
-        PBData['Challenge'] = userInfo['Data']['data']['PBChallenge']
-    return PBData
-
-# 生成消息
-async def generateMessage(userName: str = None, teaID: int = None) -> str:
-    userInfo, userData = await gather(getUserInfo(userName=userName, teaID=teaID), getUserData(userName=userName, teaID=teaID))
-    if userInfo['Status'] is False:
-        return f'用户信息请求失败'
-    if userInfo['Success'] is False:
-        return f'用户信息请求错误:\n{userInfo["Data"]["error"]}'
-    rankStats = await getRankStats(userInfo)
-    PBData = await getPBData(userInfo)
-    message = ''
-    if rankStats['Played'] is False:
-        message += f'用户 {userInfo["Data"]["data"]["name"]}（{userInfo["Data"]["data"]["teaId"]}）暂无段位统计数据'
-    elif rankStats['Played'] is True:
-        message += f'用户 {userInfo["Data"]["data"]["name"]} ({userInfo["Data"]["data"]["teaId"]}) , 段位分 {rankStats["Rating"]}±{rankStats["RD"]} ({rankStats["Vol"]}) '
-    if userData['Status'] is False:
-        message = f'{message.rstrip()}\n游戏数据请求失败'
-    elif userData['Status'] is True:
-        gameData = await getGameData(userData)
-        if gameData['Played'] is False:
-            message += ', 暂无游戏数据'
-        elif gameData['Played'] is True:
-            message += f', 最近 {gameData["NUM"]} 局数据'
-            message += f'\nL\'PM: {gameData["LPM"]} ( {gameData["PPS"]} pps )'
-            message += f'\nAPM：{gameData["APM"]} ( x{gameData["APL"]} )'
-            message += f'\nADPM：{gameData["ADPM"]} ( x{gameData["ADPL"]} ) ( {gameData["VS"]}vs )'
-    if PBData['Sprint'] is not False:
-        message += f'\n40L: {PBData["Sprint"]}s'
-    if PBData['Marathon']is not False:
-        message += f'\nMarathon: {PBData["Marathon"]}'
-    if PBData['Challenge'] is not False:
-        message += f'\nChallenge: {PBData["Challenge"]}'
-    return message

nonebot_plugin_tetris_stats/__init__.py

@@ -1,86 +1,23 @@
-from re import I
+from nonebot import require
+from nonebot.plugin import PluginMetadata
 
-from nonebot import get_driver, on_regex
-from nonebot.adapters.onebot.v11 import GROUP, MessageEvent
-from nonebot.matcher import Matcher
+require('nonebot_plugin_localstore')
+require('nonebot_plugin_orm')
+require('nonebot_plugin_alconna')
+require('nonebot_plugin_apscheduler')
 
-from .MessageAnalyzer import *
-from .SQL import *
+from .config.config import migrations  # noqa: E402
 
-from .IODataProcessing import generateMessage as IOgenerateMessage
-from .IODataProcessing import getUserID as IOgetUserID
-from .TOSDataProcessing import generateMessage as TOSgenerateMessage
+__plugin_meta__ = PluginMetadata(
+    name='Tetris Stats',
+    description='一个用于查询 Tetris 相关游戏玩家数据的插件',
+    usage='发送 {游戏名} --help 查询使用方法',
+    type='application',
+    homepage='https://github.com/A-minos/nonebot-plugin-tetris-stats',
+    extra={
+        'orm_version_location': migrations,
+    },
+)
 
-driver = get_driver()
-
-@driver.on_startup
-async def startUP():
-    await initDB()
-
-ioBind = on_regex(pattern=r'^io绑定|^iobind', flags=I, permission=GROUP)
-ioStats = on_regex(pattern=r'^io查|^iostats', flags=I, permission=GROUP)
-
-tosStats = on_regex(pattern=r'^tos查|^tostats|^茶服查|^茶服stats',
-                    flags=I, permission=GROUP)
-
-topBind = on_regex(pattern=r'^top绑定|^topbind', flags=I, permission=GROUP)
-topStats = on_regex(pattern=r'^top查|^topstats', flags=I, permission=GROUP)
-
-@ioBind.handle()
-async def bindIOUser(event: MessageEvent, matcher: Matcher):
-    decodedMessage = await handleBindMessage(message=str(event.get_message()), gameType='IO')
-    if decodedMessage['Success'] is True:
-        if decodedMessage['Type'] == 'ID':
-            user = decodedMessage['User']
-        elif decodedMessage['Type'] == 'Name':
-            user = await IOgetUserID(userName=decodedMessage['User'])
-        message = await writeBindInfo(QQNumber=event.sender.user_id, user=user, gameType='IO')
-    elif decodedMessage['Success'] is False:
-        message = decodedMessage['Message']
-    await matcher.send(message=message)
-
-@ioStats.handle()
-async def handleIOStatsQuery(event: MessageEvent, matcher: Matcher):
-    decodedMessage = await handleStatsQueryMessage(message=str(event.get_message()), gameType='IO')
-    if decodedMessage['Success'] is True:
-        if decodedMessage['Type'] == 'AT':
-            bindInfo = await queryBindInfo(QQNumber=decodedMessage['QQNumber'], gameType='IO')
-            if bindInfo['Hit'] is True:
-                message = (f'* 由于无法验证绑定信息，不能保证查询到的用户为本人\n{await IOgenerateMessage(userID=bindInfo["User"])}')
-            elif bindInfo['Hit'] is False:
-                message = '未查询到绑定信息'
-        elif decodedMessage['Type'] == 'ME':
-            bindInfo = await queryBindInfo(QQNumber=event.sender.user_id, gameType='IO')
-            if bindInfo['Hit'] is True:
-                message = (f'* 由于无法验证绑定信息，不能保证查询到的用户为本人\n{await IOgenerateMessage(userID=bindInfo["User"])}')
-            elif bindInfo['Hit'] is False:
-                message = '您还没有绑定账号'
-        elif decodedMessage['Type'] == 'ID':
-            message = await IOgenerateMessage(userID=decodedMessage['User'])
-        elif decodedMessage['Type'] == 'Name':
-            message = await IOgenerateMessage(userName=decodedMessage['User'])
-    elif decodedMessage['Success'] is False:
-        message = decodedMessage['Message']
-    await matcher.finish(message=message)
-
-@tosStats.handle()
-async def handleTOSStatsQuery(event: MessageEvent, matcher: Matcher):
-    decodedMessage = await handleStatsQueryMessage(message=str(event.get_message()), gameType='TOS')
-    if decodedMessage['Success'] is True:
-        if decodedMessage['Type'] == 'AT' or decodedMessage['Type'] == 'QQ':
-            message = await TOSgenerateMessage(teaID=decodedMessage['QQNumber'])
-        elif decodedMessage['Type'] == 'ME':
-            message = await TOSgenerateMessage(teaID=event.sender.user_id)
-        elif decodedMessage['Type'] == 'Name':
-            message = await TOSgenerateMessage(userName=decodedMessage['User'])
-    elif decodedMessage['Success'] is False:
-        message = decodedMessage['Message']
-    await matcher.finish(message=message)
-
-@topBind.handle()
-async def bindTOPUser(event: MessageEvent, matcher: Matcher):
-    await matcher.send(message='TODO')
-
-@topStats.handle()
-async def handleTOPStatsQuery(event: MessageEvent, matcher: Matcher):
-    await matcher.send(message='TODO')
+from . import game_data_processor  # noqa: F401, E402
+from .utils import host  # noqa: F401, E402

nonebot_plugin_tetris_stats/config/config.py

@@ -0,0 +1,14 @@
+from pathlib import Path
+
+from nonebot_plugin_localstore import get_cache_dir  # type: ignore[import-untyped]
+from pydantic import BaseModel
+
+from . import migrations  # noqa: F401
+
+CACHE_PATH: Path = get_cache_dir('nonebot_plugin_tetris_stats')
+
+
+class Config(BaseModel):
+    """配置类"""
+
+    tetris_req_timeout: float = 30.0

nonebot_plugin_tetris_stats/config/migrations/09d4bb60160d_rename_field.py

@@ -0,0 +1,51 @@
+"""Rename field
+
+迁移 ID: 09d4bb60160d
+父迁移: b9d65badc713
+创建时间: 2024-04-23 23:42:04.541672
+
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+
+revision: str = '09d4bb60160d'
+down_revision: str | Sequence[str] | None = 'b9d65badc713'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.alter_column('create_time', new_column_name='update_time', existing_type=sa.DateTime())
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_iorank_create_time')
+    op.create_index(
+        batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_update_time'),
+        'nonebot_plugin_tetris_stats_iorank',
+        ['update_time'],
+        unique=False,
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.alter_column('update_time', new_column_name='create_time')
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_update_time'))
+    op.create_index(
+        'ix_nonebot_plugin_tetris_stats_iorank_create_time',
+        'nonebot_plugin_tetris_stats_iorank',
+        ['create_time'],
+        unique=False,
+    )
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/0d50142b780f_add_field.py

@@ -0,0 +1,43 @@
+"""add field
+
+迁移 ID: 0d50142b780f
+父迁移: 09d4bb60160d
+创建时间: 2024-04-24 14:55:08.064098
+
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+
+revision: str = '0d50142b780f'
+down_revision: str | Sequence[str] | None = '09d4bb60160d'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('file_hash', sa.String(length=128), nullable=True))
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_file_hash'), ['file_hash'], unique=False
+        )
+
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_file_hash'))
+        batch_op.drop_column('file_hash')
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/6c3206f90cc3_add_field.py

@@ -0,0 +1,65 @@
+"""Add redundant platform field
+
+迁移 ID: 6c3206f90cc3
+父迁移: 9f6582279ce2
+创建时间: 2023-11-26 20:15:56.033892
+
+"""
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+from alembic import op
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+from ujson import dumps, loads
+
+revision: str = '6c3206f90cc3'
+down_revision: str | Sequence[str] | None = '9f6582279ce2'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+
+    Base = automap_base()  # noqa: N806
+    connection = op.get_bind()
+    Base.prepare(autoload_with=connection)
+
+    HistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
+
+    with Session(connection) as session:
+        for row in session.query(HistoricalData):
+            platform = row.game_platform
+            game_user = loads(row.game_user)
+            processed_data = loads(row.processed_data)
+            game_user['platform'] = platform
+            processed_data['platform'] = platform
+            row.game_user = dumps(game_user)
+            row.processed_data = dumps(processed_data)
+            session.add(row)
+        session.commit()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+
+    Base = automap_base()  # noqa: N806
+    connection = op.get_bind()
+    Base.prepare(autoload_with=connection)
+
+    HistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
+
+    with Session(connection) as session:
+        for row in session.query(HistoricalData):
+            game_user = loads(row.game_user)
+            processed_data = loads(row.processed_data)
+            game_user.pop('platform', None)
+            processed_data.pop('platform', None)
+            row.game_user = dumps(game_user)
+            row.processed_data = dumps(processed_data)
+            session.add(row)
+        session.commit()

nonebot_plugin_tetris_stats/config/migrations/8a91210ce14d_correct_the_data_in_historicaldata.py

@@ -0,0 +1,92 @@
+"""Correct the data in HistoricalData
+
+迁移 ID: 8a91210ce14d
+父迁移: 0d50142b780f
+创建时间: 2024-05-06 08:16:38.487214
+
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+from alembic import op
+from nonebot.log import logger
+from sqlalchemy import select
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+revision: str = '8a91210ce14d'
+down_revision: str | Sequence[str] | None = '0d50142b780f'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    from nonebot_plugin_tetris_stats.version import __version__
+
+    if __version__ != '1.0.3':
+        logger.critical('本迁移需要1.0.3版本, 请先锁定版本至1.0.3版本再执行本迁移')
+        raise RuntimeError('本迁移需要1.0.3版本, 请先锁定版本至1.0.3版本再执行本迁移')
+
+    from nonebot.compat import PYDANTIC_V2, type_validate_json
+    from pydantic import BaseModel, ValidationError
+    from rich.progress import (
+        BarColumn,
+        MofNCompleteColumn,
+        Progress,
+        TaskProgressColumn,
+        TextColumn,
+        TimeRemainingColumn,
+    )
+
+    from nonebot_plugin_tetris_stats.game_data_processor.schemas import BaseProcessedData
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=op.get_bind())
+    HistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
+    if PYDANTIC_V2:
+
+        def model_to_json(value: BaseModel) -> str:
+            return value.model_dump_json(by_alias=True)
+    else:
+
+        def model_to_json(value: BaseModel) -> str:
+            return value.json(by_alias=True)
+
+    models = BaseProcessedData.__subclasses__()
+
+    def json_to_model(value: str) -> BaseModel:
+        for i in models:
+            try:
+                return type_validate_json(i, value)
+            except ValidationError:  # noqa: PERF203
+                ...
+        raise ValueError
+
+    with Session(op.get_bind()) as session:
+        count = session.query(HistoricalData).count()
+        with Progress(
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            MofNCompleteColumn(),
+            TaskProgressColumn(),
+            TimeRemainingColumn(),
+        ) as progress:
+            task_id = progress.add_task('[cyan]Updateing:', total=count)
+            for i in range(0, count, 100):
+                for j in session.scalars(
+                    select(HistoricalData).where(HistoricalData.id > i).order_by(HistoricalData.id).limit(100)
+                ):
+                    model = json_to_model(j.processed_data)
+                    j.processed_data = model_to_json(model)
+                    progress.update(task_id, advance=1)
+                session.commit()
+    logger.success('Corrected HistoricalData')
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/9866f53ce44f_init_db.py

@@ -0,0 +1,139 @@
+"""init db
+
+迁移 ID: 9866f53ce44f
+父迁移:
+创建时间: 2023-11-11 16:24:11.826667
+
+"""
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+
+revision: str = '9866f53ce44f'
+down_revision: str | Sequence[str] | None = None
+branch_labels: str | Sequence[str] | None = ('nonebot_plugin_tetris_stats',)
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        'nonebot_plugin_tetris_stats_bind',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('chat_platform', sa.String(length=32), nullable=False),
+        sa.Column('chat_account', sa.String(), nullable=False),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('game_account', sa.String(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_bind')),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_bind_chat_account'),
+            ['chat_account'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_bind_chat_platform'),
+            ['chat_platform'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_historicaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('bot_platform', sa.String(length=32), nullable=True),
+        sa.Column('bot_account', sa.String(), nullable=True),
+        sa.Column('source_type', sa.String(length=32), nullable=True),
+        sa.Column('source_account', sa.String(), nullable=True),
+        sa.Column('message', sa.PickleType(), nullable=True),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('command_type', sa.String(length=16), nullable=False),
+        sa.Column('command_args', sa.JSON(), nullable=False),
+        sa.Column('game_user', sa.PickleType(), nullable=False),
+        sa.Column('processed_data', sa.PickleType(), nullable=False),
+        sa.Column('finish_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_historicaldata')),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'),
+            ['command_type'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'),
+            ['game_platform'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'),
+            ['source_account'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_type'),
+            ['source_type'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_iorank',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('rank', sa.String(length=2), nullable=False),
+        sa.Column('tr_line', sa.Float(), nullable=False),
+        sa.Column('player_count', sa.Integer(), nullable=False),
+        sa.Column('low_pps', sa.JSON(), nullable=False),
+        sa.Column('low_apm', sa.JSON(), nullable=False),
+        sa.Column('low_vs', sa.JSON(), nullable=False),
+        sa.Column('avg_pps', sa.Float(), nullable=False),
+        sa.Column('avg_apm', sa.Float(), nullable=False),
+        sa.Column('avg_vs', sa.Float(), nullable=False),
+        sa.Column('high_pps', sa.JSON(), nullable=False),
+        sa.Column('high_apm', sa.JSON(), nullable=False),
+        sa.Column('high_vs', sa.JSON(), nullable=False),
+        sa.Column('create_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('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(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_create_time'),
+            ['create_time'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_rank'),
+            ['rank'],
+            unique=False,
+        )
+
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_rank'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_create_time'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_iorank')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_type'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_bind_chat_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_bind_chat_account'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_bind')
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/9cd1647db502_merge_old_db.py

@@ -0,0 +1,92 @@
+"""Merge old db
+
+迁移 ID: 9cd1647db502
+父迁移: 9866f53ce44f
+创建时间: 2023-11-11 16:51:30.718277
+
+"""
+from __future__ import annotations
+
+from collections.abc import Sequence
+from pathlib import Path
+from shutil import copyfile
+
+from alembic import op
+from nonebot import get_driver
+from nonebot.log import logger
+from sqlalchemy import Connection, create_engine, inspect, text
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+revision: str = '9cd1647db502'
+down_revision: str | Sequence[str] | None = '9866f53ce44f'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+driver = get_driver()
+config = driver.config
+
+
+def migrate_old_data(connection: Connection) -> None:
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=op.get_bind())
+    Bind = Base.classes.nonebot_plugin_tetris_stats_bind  # noqa: N806
+
+    def non_empty(obj: str) -> bool:
+        if obj != '' and not obj.isspace():
+            return True
+        return False
+
+    def is_int(obj: int | str) -> bool:
+        if isinstance(obj, int) or obj.isdigit():
+            return True
+        return False
+
+    bind_list = [
+        Bind(chat_platform='OneBot V11', chat_account=int(row.QQ), game_platform='IO', game_account=row.USER)
+        for row in connection.execute(text('select QQ, USER from IOBIND;'))
+        if is_int(row.QQ) and non_empty(row.USER)
+    ]
+    bind_list.extend(
+        [
+            Bind(chat_platform='OneBot V11', chat_account=int(row.QQ), game_platform='TOP', game_account=row.USER)
+            for row in connection.execute(text('select QQ, USER from TOPBIND;'))
+            if is_int(row.QQ) and non_empty(row.USER)
+        ]
+    )
+    with Session(op.get_bind()) as session:
+        session.add_all(bind_list)
+        session.commit()
+    logger.success('nonebot_plugin_tetris_stats: 迁移完成')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    try:
+        db_path = Path(config.db_url)
+    except AttributeError:
+        db_path = Path('data/nonebot_plugin_tetris_stats/data.db')
+    if db_path.exists() is False:
+        logger.warning('nonebot_plugin_tetris_stats: 未发现老版本的数据')
+        logger.success('nonebot_plugin_tetris_stats: 跳过迁移')
+        return
+    copyfile(db_path, db_path.parent / 'data.db.bak')
+    engine = create_engine(f'sqlite:///{db_path.absolute()!s}')
+    with engine.connect() as connection:
+        tables = inspect(connection).get_table_names()
+        if 'IOBIND' not in tables or 'TOPBIND' not in tables:
+            logger.warning('nonebot_plugin_tetris_stats: 未发现老版本的数据')
+            logger.success('nonebot_plugin_tetris_stats: 跳过迁移')
+            return
+        if 'IORANK' not in tables:
+            logger.warning('nonebot_plugin_tetris_stats: 发现过早版本的数据, 请先更新到 0.4.4 版本')
+            raise RuntimeError('nonebot_plugin_tetris_stats: 请先安装 0.4.4 版本完成迁移之后再升级')
+        logger.info('nonebot_plugin_tetris_stats: 发现来自老版本的数据, 正在迁移...')
+        migrate_old_data(connection)
+    db_path.unlink()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/9f6582279ce2_recreate_historical_data.py

@@ -0,0 +1,112 @@
+"""Recreate HistoricalData
+
+迁移 ID: 9f6582279ce2
+父迁移: 9cd1647db502
+创建时间: 2023-11-21 08:35:50.393246
+
+"""
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.dialects import sqlite
+
+from nonebot_plugin_tetris_stats.db.models import PydanticType
+
+revision: str = '9f6582279ce2'
+down_revision: str | Sequence[str] | None = '9cd1647db502'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_command_type')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_source_account')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_source_type')
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_historicaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('bot_platform', sa.String(length=32), nullable=True),
+        sa.Column('bot_account', sa.String(), nullable=True),
+        sa.Column('source_type', sa.String(length=32), nullable=True),
+        sa.Column('source_account', sa.String(), nullable=True),
+        sa.Column('message', sa.PickleType(), nullable=True),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('command_type', sa.String(length=16), nullable=False),
+        sa.Column('command_args', sa.JSON(), nullable=False),
+        sa.Column('game_user', PydanticType(list), nullable=False),
+        sa.Column('processed_data', PydanticType(list), nullable=False),
+        sa.Column('finish_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_historicaldata')),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'), ['command_type'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'), ['game_platform'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'), ['source_account'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_type'), ['source_type'], unique=False
+        )
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_type'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_historicaldata',
+        sa.Column('id', sa.INTEGER(), nullable=False),
+        sa.Column('trigger_time', sa.DATETIME(), nullable=False),
+        sa.Column('bot_platform', sa.VARCHAR(length=32), nullable=True),
+        sa.Column('bot_account', sa.VARCHAR(), nullable=True),
+        sa.Column('source_type', sa.VARCHAR(length=32), nullable=True),
+        sa.Column('source_account', sa.VARCHAR(), nullable=True),
+        sa.Column('message', sa.BLOB(), nullable=True),
+        sa.Column('game_platform', sa.VARCHAR(length=32), nullable=False),
+        sa.Column('command_type', sa.VARCHAR(length=16), nullable=False),
+        sa.Column('command_args', sqlite.JSON(), nullable=False),
+        sa.Column('game_user', sa.BLOB(), nullable=False),
+        sa.Column('processed_data', sa.BLOB(), nullable=False),
+        sa.Column('finish_time', sa.DATETIME(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name='pk_nonebot_plugin_tetris_stats_historicaldata'),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_source_type', ['source_type'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_source_account', ['source_account'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_game_platform', ['game_platform'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_command_type', ['command_type'], unique=False
+        )
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/b7fbdafc339a_add_user_unique_identifier_field_to_.py

@@ -0,0 +1,103 @@
+"""Add user_unique_identifier field to HistoricalData
+
+迁移 ID: b7fbdafc339a
+父迁移: 8a91210ce14d
+创建时间: 2024-05-07 16:55:29.527215
+
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+from nonebot.log import logger
+
+revision: str = 'b7fbdafc339a'
+down_revision: str | Sequence[str] | None = '8a91210ce14d'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    from nonebot_plugin_tetris_stats.version import __version__
+
+    if __version__ != '1.0.4':
+        logger.critical('本迁移需要1.0.4版本, 请先锁定版本至1.0.4版本再执行本迁移')
+        raise RuntimeError('本迁移需要1.0.4版本, 请先锁定版本至1.0.4版本再执行本迁移')
+    from nonebot.compat import type_validate_json
+    from pydantic import ValidationError
+    from rich.progress import (
+        BarColumn,
+        MofNCompleteColumn,
+        Progress,
+        TaskProgressColumn,
+        TextColumn,
+        TimeRemainingColumn,
+    )
+    from sqlalchemy import select
+    from sqlalchemy.ext.automap import automap_base
+    from sqlalchemy.orm import Session
+
+    from nonebot_plugin_tetris_stats.game_data_processor.schemas import BaseUser
+
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('user_unique_identifier', sa.String(length=32), nullable=True))
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_user_unique_identifier'),
+            ['user_unique_identifier'],
+            unique=False,
+        )
+    Base = automap_base()  # noqa: N806
+    connection = op.get_bind()
+    Base.prepare(autoload_with=connection)
+    HistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
+
+    models: list[type[BaseUser]] = BaseUser.__subclasses__()
+
+    def json_to_model(value: str) -> BaseUser:
+        for i in models:
+            try:
+                return type_validate_json(i, value)
+            except ValidationError:  # noqa: PERF203
+                ...
+        raise ValueError
+
+    with Session(op.get_bind()) as session:
+        count = session.query(HistoricalData).count()
+        with Progress(
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            MofNCompleteColumn(),
+            TaskProgressColumn(),
+            TimeRemainingColumn(),
+        ) as progress:
+            task_id = progress.add_task('[cyan]Updateing:', total=count)
+            for i in range(0, count, 100):
+                for j in session.scalars(
+                    select(HistoricalData).where(HistoricalData.id > i).order_by(HistoricalData.id).limit(100)
+                ):
+                    model = json_to_model(j.game_user)
+                    try:
+                        j.user_unique_identifier = model.unique_identifier
+                    except ValueError:
+                        session.delete(j)
+                    progress.update(task_id, advance=1)
+                session.commit()
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.alter_column('user_unique_identifier', existing_type=sa.VARCHAR(length=32), nullable=False)
+    logger.success('database upgrade success')
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_user_unique_identifier'))
+        batch_op.drop_column('user_unique_identifier')
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/b9d65badc713_del_old_tos_bind_data.py

@@ -0,0 +1,38 @@
+"""Del old TOS bind data
+
+迁移 ID: b9d65badc713
+父迁移: 6c3206f90cc3
+创建时间: 2023-12-30 00:27:40.991704
+
+"""
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+from alembic import op
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+revision: str = 'b9d65badc713'
+down_revision: str | Sequence[str] | None = '6c3206f90cc3'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+
+    Base = automap_base()  # noqa: N806
+    connection = op.get_bind()
+    Base.prepare(autoload_with=connection)
+
+    Bind = Base.classes.nonebot_plugin_tetris_stats_bind  # noqa: N806
+    with Session(connection) as session:
+        session.query(Bind).filter(Bind.game_platform == 'TOS').delete()
+        session.commit()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/db/__init__.py

@@ -0,0 +1,57 @@
+from enum import Enum, auto
+
+from nonebot_plugin_orm import AsyncSession
+from sqlalchemy import select
+
+from ..utils.typing import GameType
+from .models import Bind
+
+
+class BindStatus(Enum):
+    SUCCESS = auto()
+    UPDATE = auto()
+
+
+async def query_bind_info(
+    session: AsyncSession,
+    chat_platform: str,
+    chat_account: str,
+    game_platform: GameType,
+) -> Bind | None:
+    return (
+        await session.scalars(
+            select(Bind)
+            .where(Bind.chat_platform == chat_platform)
+            .where(Bind.chat_account == chat_account)
+            .where(Bind.game_platform == game_platform)
+        )
+    ).one_or_none()
+
+
+async def create_or_update_bind(
+    session: AsyncSession,
+    chat_platform: str,
+    chat_account: str,
+    game_platform: GameType,
+    game_account: str,
+) -> BindStatus:
+    bind = await query_bind_info(
+        session=session,
+        chat_platform=chat_platform,
+        chat_account=chat_account,
+        game_platform=game_platform,
+    )
+    if bind is None:
+        bind = Bind(
+            chat_platform=chat_platform,
+            chat_account=chat_account,
+            game_platform=game_platform,
+            game_account=game_account,
+        )
+        session.add(bind)
+        message = BindStatus.SUCCESS
+    else:
+        bind.game_account = game_account
+        message = BindStatus.UPDATE
+    await session.commit()
+    return message

nonebot_plugin_tetris_stats/db/models.py

@@ -0,0 +1,78 @@
+from collections.abc import Callable, Sequence
+from datetime import datetime
+from typing import Any
+
+from nonebot.adapters import Message
+from nonebot.compat import PYDANTIC_V2, type_validate_json
+from nonebot_plugin_orm import Model
+from pydantic import BaseModel, ValidationError
+from sqlalchemy import JSON, DateTime, Dialect, PickleType, String, TypeDecorator
+from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
+from typing_extensions import override
+
+from ..game_data_processor.schemas import BaseProcessedData, BaseUser
+from ..utils.typing import CommandType, GameType
+
+
+class PydanticType(TypeDecorator):
+    impl = JSON
+
+    @override
+    def __init__(self, get_model: Callable[[], Sequence[type[BaseModel]]], *args: Any, **kwargs: Any):
+        self.get_model = get_model
+        super().__init__(*args, **kwargs)
+
+    if PYDANTIC_V2:
+
+        @override
+        def process_bind_param(self, value: Any | None, dialect: Dialect) -> str:
+            # 将 Pydantic 模型实例转换为 JSON
+            if isinstance(value, tuple(self.get_model())):
+                return value.model_dump_json(by_alias=True)  # type: ignore[union-attr]
+            raise TypeError
+    else:
+
+        @override
+        def process_bind_param(self, value: Any | None, dialect: Dialect) -> str:
+            # 将 Pydantic 模型实例转换为 JSON
+            if isinstance(value, tuple(self.get_model())):
+                return value.json(by_alias=True)  # type: ignore[union-attr]
+            raise TypeError
+
+    @override
+    def process_result_value(self, value: Any | None, dialect: Dialect) -> BaseModel:
+        # 将 JSON 转换回 Pydantic 模型实例
+        if isinstance(value, str | bytes):
+            for i in self.get_model():
+                try:
+                    return type_validate_json(i, value)
+                except ValidationError:  # noqa: PERF203
+                    ...
+        raise ValueError
+
+
+class Bind(MappedAsDataclass, Model):
+    id: Mapped[int] = mapped_column(init=False, primary_key=True)
+    chat_platform: Mapped[str] = mapped_column(String(32), index=True)
+    chat_account: Mapped[str] = mapped_column(index=True)
+    game_platform: Mapped[GameType] = mapped_column(String(32))
+    game_account: Mapped[str]
+
+
+class HistoricalData(MappedAsDataclass, Model):
+    id: Mapped[int] = mapped_column(init=False, primary_key=True)
+    trigger_time: Mapped[datetime] = mapped_column(DateTime)
+    bot_platform: Mapped[str | None] = mapped_column(String(32))
+    bot_account: Mapped[str | None]
+    source_type: Mapped[str | None] = mapped_column(String(32), index=True)
+    source_account: Mapped[str | None] = mapped_column(index=True)
+    message: Mapped[Message | None] = mapped_column(PickleType)
+    game_platform: Mapped[GameType] = mapped_column(String(32), index=True, init=False)
+    command_type: Mapped[CommandType] = mapped_column(String(16), index=True, init=False)
+    command_args: Mapped[list[str]] = mapped_column(JSON, init=False)
+    user_unique_identifier: Mapped[str] = mapped_column(String(32), index=True, init=False)
+    game_user: Mapped[BaseUser] = mapped_column(PydanticType(get_model=BaseUser.__subclasses__), init=False)
+    processed_data: Mapped[BaseProcessedData] = mapped_column(
+        PydanticType(get_model=BaseProcessedData.__subclasses__), init=False
+    )
+    finish_time: Mapped[datetime] = mapped_column(DateTime, init=False)

nonebot_plugin_tetris_stats/game_data_processor/__init__.py

@@ -0,0 +1,100 @@
+from abc import ABC, abstractmethod
+from datetime import datetime, timezone
+from typing import Any
+
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import AlcMatches, AlconnaMatcher
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_userinfo import UserInfo  # type: ignore[import-untyped]
+
+from ..utils.exception import MessageFormatError
+from ..utils.recorder import Recorder
+from ..utils.typing import CommandType, GameType
+from .schemas import BaseProcessedData as ProcessedData
+from .schemas import BaseRawResponse as RawResponse
+from .schemas import BaseUser as User
+
+UTC = timezone.utc
+
+
+class Processor(ABC):
+    event_id: int
+    command_type: CommandType
+    command_args: list[str]
+    user: User
+    raw_response: RawResponse
+    processed_data: ProcessedData
+
+    @abstractmethod
+    def __init__(
+        self,
+        event_id: int,
+        user: User,
+        command_args: list[str],
+    ) -> None:
+        self.event_id = event_id
+        self.user = user
+        self.command_args = command_args
+
+    @property
+    @abstractmethod
+    def game_platform(self) -> GameType:
+        """游戏平台"""
+        raise NotImplementedError
+
+    @abstractmethod
+    async def handle_bind(
+        self,
+        platform: str,
+        account: str,
+        bot_info: UserInfo,
+        *args: Any,  # noqa: ANN401
+        **kwargs: Any,  # noqa: ANN401
+    ) -> UniMessage:
+        """处理绑定消息"""
+        raise NotImplementedError
+
+    @abstractmethod
+    async def handle_query(self) -> UniMessage:
+        """处理查询消息"""
+        raise NotImplementedError
+
+    def __del__(self) -> None:
+        finish_time = datetime.now(tz=UTC)
+        if Recorder.is_error_event(self.event_id):
+            Recorder.del_error_event(self.event_id)
+            return
+        historical_data = Recorder.get_historical_data(self.event_id)
+        historical_data.game_platform = self.game_platform
+        historical_data.command_type = self.command_type
+        historical_data.command_args = self.command_args
+        historical_data.user_unique_identifier = self.user.unique_identifier
+        historical_data.game_user = self.user
+        historical_data.processed_data = self.processed_data
+        historical_data.finish_time = finish_time
+        Recorder.update_historical_data(self.event_id, historical_data)
+
+
+def add_default_handlers(matcher: type[AlconnaMatcher]) -> None:
+    @matcher.handle()
+    async def _(matcher: Matcher, account: MessageFormatError):
+        await matcher.finish(str(account))
+
+    @matcher.handle()
+    async def _(matcher: Matcher, matches: AlcMatches):
+        if matches.head_matched and matches.options != {} or matches.main_args == {}:
+            await matcher.finish(
+                (f'{matches.error_info!r}\n' if matches.error_info is not None else '')
+                + f'输入"{matches.header_result} --help"查看帮助'
+            )
+
+    @matcher.handle()
+    async def _(matcher: Matcher, other: Any):  # noqa: ANN401
+        await matcher.finish()
+
+
+from . import (  # noqa: F401, E402
+    io_data_processor,
+    top_data_processor,
+    tos_data_processor,
+)

nonebot_plugin_tetris_stats/game_data_processor/constant.py

@@ -0,0 +1,2 @@
+BIND_COMMAND: list[str] = ['绑定', 'bind']
+QUERY_COMMAND: list[str] = ['查', '查询', 'query', 'stats']

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/__init__.py

@@ -0,0 +1,196 @@
+from datetime import datetime, timedelta, timezone
+from zoneinfo import ZoneInfo
+
+from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
+from nonebot.adapters import Bot, Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At, on_alconna
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_userinfo import BotUserInfo, UserInfo  # type: ignore[import-untyped]
+from sqlalchemy import func, select
+
+from ...db import query_bind_info
+from ...utils.exception import HandleNotFinishedError, NeedCatchError
+from ...utils.metrics import get_metrics
+from ...utils.platform import get_platform
+from ...utils.typing import Me
+from .. import add_default_handlers
+from ..constant import BIND_COMMAND, QUERY_COMMAND
+from .constant import GAME_TYPE
+from .model import IORank
+from .processor import Processor, User, identify_user_info
+from .typing import Rank
+
+UTC = timezone.utc
+
+alc = on_alconna(
+    Alconna(
+        'io',
+        Option(
+            BIND_COMMAND[0],
+            Args(
+                Arg(
+                    'account',
+                    identify_user_info,
+                    notice='IO 用户名 / ID',
+                    flags=[ArgFlag.HIDDEN],
+                )
+            ),
+            alias=BIND_COMMAND[1:],
+            compact=True,
+            dest='bind',
+            help_text='绑定 IO 账号',
+        ),
+        Option(
+            QUERY_COMMAND[0],
+            Args(
+                Arg(
+                    'target',
+                    At | Me,
+                    notice='@想要查询的人 | 自己',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+                Arg(
+                    'account',
+                    identify_user_info,
+                    notice='IO 用户名 / ID',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+            ),
+            alias=QUERY_COMMAND[1:],
+            compact=True,
+            dest='query',
+            help_text='查询 IO 游戏信息',
+        ),
+        Option(
+            'rank',
+            Args(Arg('rank', Rank, notice='IO 段位')),
+            alias={'Rank', 'RANK', '段位'},
+            compact=True,
+            dest='rank',
+            help_text='查询 IO 段位信息',
+        ),
+        Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
+        meta=CommandMeta(
+            description='查询 TETR.IO 的信息',
+            example='io绑定scdhh\nio查我\niorankx',
+            compact=True,
+            fuzzy_match=True,
+        ),
+    ),
+    skip_for_unmatch=False,
+    auto_send_output=True,
+    aliases={'IO'},
+)
+
+alc.shortcut('fkosk', {'command': 'io查', 'args': ['我']})
+
+
+@alc.assign('bind')
+async def _(bot: Bot, event: Event, matcher: Matcher, account: User, bot_info: UserInfo = BotUserInfo()):  # noqa: B008
+    proc = Processor(event_id=id(event), user=account, command_args=[])
+    try:
+        await (
+            await proc.handle_bind(platform=get_platform(bot), account=event.get_user_id(), bot_info=bot_info)
+        ).finish()
+    except NeedCatchError as e:
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+@alc.assign('query')
+async def _(bot: Bot, event: Event, matcher: Matcher, target: At | Me):
+    async with get_session() as session:
+        bind = await query_bind_info(
+            session=session,
+            chat_platform=get_platform(bot),
+            chat_account=(target.target if isinstance(target, At) else event.get_user_id()),
+            game_platform=GAME_TYPE,
+        )
+    if bind is None:
+        await matcher.finish('未查询到绑定信息')
+    message = '* 由于无法验证绑定信息, 不能保证查询到的用户为本人\n'
+    proc = Processor(
+        event_id=id(event),
+        user=User(ID=bind.game_account),
+        command_args=[],
+    )
+    try:
+        await (UniMessage(message) + await proc.handle_query()).finish()
+    except NeedCatchError as e:
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+@alc.assign('query')
+async def _(event: Event, matcher: Matcher, account: User):
+    proc = Processor(
+        event_id=id(event),
+        user=account,
+        command_args=[],
+    )
+    try:
+        await (await proc.handle_query()).finish()
+    except NeedCatchError as e:
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+@alc.assign('rank')
+async def _(matcher: Matcher, rank: Rank):
+    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)
+
+
+add_default_handlers(alc)

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/cache.py

@@ -0,0 +1,30 @@
+from datetime import datetime, timezone
+
+from aiocache import Cache as ACache  # type: ignore[import-untyped]
+from nonebot.compat import type_validate_json
+from nonebot.log import logger
+
+from ...utils.request import Request
+from .schemas.base import FailedModel, SuccessModel
+
+UTC = timezone.utc
+
+
+class Cache:
+    cache = ACache(ACache.MEMORY)
+
+    @classmethod
+    async def get(cls, url: str) -> bytes:
+        cached_data = await cls.cache.get(url)
+        if cached_data is None:
+            response_data = await Request.request(url)
+            parsed_data: SuccessModel | FailedModel = type_validate_json(SuccessModel | FailedModel, response_data)  # type: ignore[arg-type]
+            if isinstance(parsed_data, SuccessModel):
+                await cls.cache.add(
+                    url,
+                    response_data,
+                    (parsed_data.cache.cached_until - datetime.now(UTC)).total_seconds(),
+                )
+            return response_data
+        logger.debug(f'{url}: Cache hit!')
+        return cached_data

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/constant.py

@@ -0,0 +1,27 @@
+from typing import Literal
+
+from .typing import Rank
+
+GAME_TYPE: Literal['IO'] = 'IO'
+BASE_URL = 'https://ch.tetr.io/api/'
+RANK_PERCENTILE: dict[Rank, float] = {
+    'x': 1,
+    'u': 5,
+    'ss': 11,
+    's+': 17,
+    's': 23,
+    's-': 30,
+    'a+': 38,
+    'a': 46,
+    'a-': 54,
+    'b+': 62,
+    'b': 70,
+    'b-': 78,
+    'c+': 84,
+    'c': 90,
+    'c-': 95,
+    'd+': 97.5,
+    'd': 100,
+}
+TR_MIN = 0
+TR_MAX = 25000

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/model.py

@@ -0,0 +1,30 @@
+from datetime import datetime, timezone
+
+from nonebot_plugin_orm import Model
+from sqlalchemy import JSON, DateTime, String
+from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
+
+from .typing import Rank
+
+UTC = timezone.utc
+
+
+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)

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/processor.py

@@ -0,0 +1,458 @@
+from asyncio import gather
+from collections import defaultdict
+from collections.abc import Callable
+from datetime import datetime, timedelta, timezone
+from hashlib import md5, sha512
+from math import ceil, floor
+from re import match
+from statistics import mean
+from typing import Literal
+from urllib.parse import urlunparse
+from zoneinfo import ZoneInfo
+
+from aiofiles import open
+from nonebot import get_driver
+from nonebot.compat import type_validate_json
+from nonebot.utils import run_sync
+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_userinfo import UserInfo as NBUserInfo  # type: ignore[import-untyped]
+from sqlalchemy import select
+from typing_extensions import override
+from zstandard import ZstdCompressor
+
+from ...db import BindStatus, create_or_update_bind
+from ...db.models import HistoricalData
+from ...utils.avatar import get_avatar
+from ...utils.exception import MessageFormatError, RequestError, WhatTheFuckError
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.render import Bind, TETRIOInfo, render
+from ...utils.request import splice_url
+from ...utils.retry import retry
+from ...utils.screenshot import screenshot
+from .. import Processor as ProcessorMeta
+from .cache import Cache
+from .constant import BASE_URL, GAME_TYPE, RANK_PERCENTILE, TR_MAX, TR_MIN
+from .model import IORank
+from .schemas.base import FailedModel
+from .schemas.league_all import LeagueAll
+from .schemas.league_all import ValidUser as LeagueAllUser
+from .schemas.response import ProcessedData, RawResponse
+from .schemas.user import User
+from .schemas.user_info import NeverPlayedLeague, NeverRatedLeague, RatedLeague, UserInfo
+from .schemas.user_info import SuccessModel as InfoSuccess
+from .schemas.user_records import MultiRecord, SoloRecord, UserRecords
+from .schemas.user_records import SuccessModel as RecordsSuccess
+from .typing import Rank
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+
+def identify_user_info(info: str) -> User | MessageFormatError:
+    if match(r'^[a-f0-9]{24}$', info):
+        return User(ID=info)
+    if match(r'^[a-zA-Z0-9_-]{3,16}$', info):
+        return User(name=info.lower())
+    return MessageFormatError('用户名/ID不合法')
+
+
+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: TETRIOInfo.TetraLeagueHistory.Data,
+    behind_point: TETRIOInfo.TetraLeagueHistory.Data,
+    point_time: datetime,
+) -> TETRIOInfo.TetraLeagueHistory.Data:
+    """根据给出的 previous_point 和 behind_point, 推算 point_time 点处的数据
+
+    Args:
+        previous_point (TETRIOInfo.TetraLeagueHistory.Data): 前面的数据点
+        behind_point (TETRIOInfo.TetraLeagueHistory.Data): 后面的数据点
+        point_time (datetime): 要推算的点的位置
+
+    Returns:
+        TETRIOInfo.TetraLeagueHistory.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 TETRIOInfo.TetraLeagueHistory.Data(
+        record_at=point_time,
+        tr=previous_point.tr + slope * (datetime.timestamp(point_time) - datetime.timestamp(previous_point.record_at)),
+    )
+
+
+class Processor(ProcessorMeta):
+    user: User
+    raw_response: RawResponse
+    processed_data: ProcessedData
+
+    @override
+    def __init__(self, event_id: int, user: User, command_args: list[str]) -> None:
+        super().__init__(event_id, user, command_args)
+        self.raw_response = RawResponse()
+        self.processed_data = ProcessedData()
+
+    @property
+    @override
+    def game_platform(self) -> Literal['IO']:
+        return GAME_TYPE
+
+    @override
+    async def handle_bind(self, platform: str, account: str, bot_info: NBUserInfo) -> UniMessage:
+        """处理绑定消息"""
+        self.command_type = 'bind'
+        await self.get_user()
+        if self.user.ID is None:
+            raise  # FIXME: 不知道怎么才能把这类型给变过来了
+        async with get_session() as session:
+            bind_status = await create_or_update_bind(
+                session=session,
+                chat_platform=platform,
+                chat_account=account,
+                game_platform=GAME_TYPE,
+                game_account=self.user.ID,
+            )
+        bot_avatar = await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg')
+        user_info = await self.get_user_info()
+        if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
+            async with HostPage(
+                await render(
+                    'binding',
+                    Bind(
+                        platform='TETR.IO',
+                        status='unknown',
+                        user=Bind.People(
+                            avatar=f'https://tetr.io/user-content/avatars/{user_info.data.user.id}.jpg?rv={user_info.data.user.avatar_revision}'
+                            if user_info.data.user.avatar_revision is not None
+                            else f'{{"type":"identicon","hash":"{md5(user_info.data.user.id.encode()).hexdigest()}"}}',  # noqa: S324
+                            name=user_info.data.user.username.upper(),
+                        ),
+                        bot=Bind.People(
+                            avatar=bot_avatar,
+                            name=bot_info.user_name,
+                        ),
+                        command='io查我',
+                    ),
+                )
+            ) as page_hash:
+                message = UniMessage.image(
+                    raw=await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
+                )
+        return message
+
+    @override
+    async def handle_query(self) -> UniMessage:
+        """处理查询消息"""
+        self.command_type = 'query'
+        await self.get_user()
+        user_info, user_records = await gather(self.get_user_info(), self.get_user_records())
+        sprint = user_records.data.records.sprint
+        blitz = user_records.data.records.blitz
+        if isinstance(sprint.record, MultiRecord) or isinstance(blitz.record, MultiRecord):
+            raise WhatTheFuckError('单人游戏记录是多人游戏记录')
+        try:
+            return UniMessage.image(raw=await self.make_query_image(self.user, user_info, sprint.record, blitz.record))
+        except TypeError:
+            ...
+        # fallback
+        league = user_info.data.user.league
+        user_name = user_info.data.user.username.upper()
+        ret_message = ''
+        if isinstance(league, NeverPlayedLeague):
+            ret_message += f'用户 {user_name} 没有排位统计数据'
+        else:
+            if isinstance(league, NeverRatedLeague):
+                ret_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':
+                    ret_message += f'用户 {user_name} 暂无段位, {round(league.rating,2)} TR'
+                else:
+                    ret_message += (
+                        f'{league.rank.upper()} 段用户 {user_name} {round(league.rating,2)} TR (#{league.standing})'
+                    )
+                ret_message += f', 段位分 {round(league.glicko,2)}±{round(league.rd,2)}, 最近十场的数据:'
+            lpm = league.pps * 24
+            ret_message += f"\nL'PM: {round(lpm, 2)} ( {league.pps} pps )"
+            ret_message += f'\nAPM: {league.apm} ( x{round(league.apm/lpm,2)} )'
+            if league.vs is not None:
+                adpm = league.vs * 0.6
+                ret_message += f'\nADPM: {round(adpm,2)} ( x{round(adpm/lpm,2)} ) ( {league.vs}vs )'
+        if sprint.record is not None:
+            ret_message += f'\n40L: {round(sprint.record.endcontext.final_time/1000,2)}s'
+            ret_message += f' ( #{sprint.rank} )' if sprint.rank is not None else ''
+        if blitz.record is not None:
+            ret_message += f'\nBlitz: {blitz.record.endcontext.score}'
+            ret_message += f' ( #{blitz.rank} )' if blitz.rank is not None else ''
+        return UniMessage(ret_message)
+
+    @staticmethod
+    async def query_historical_data(user: User, user_info: InfoSuccess) -> list[TETRIOInfo.TetraLeagueHistory.Data]:
+        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(HistoricalData)
+                    .where(HistoricalData.trigger_time >= start_time)
+                    .where(HistoricalData.game_platform == GAME_TYPE)
+                    .where(HistoricalData.user_unique_identifier == user.unique_identifier)
+                )
+            ).all()
+            if historical_data:
+                extra = (
+                    await session.scalars(
+                        select(HistoricalData)
+                        .where(HistoricalData.game_platform == GAME_TYPE)
+                        .where(HistoricalData.user_unique_identifier == user.unique_identifier)
+                        .order_by(HistoricalData.id.desc())
+                        .where(HistoricalData.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)
+
+        histories = [
+            TETRIOInfo.TetraLeagueHistory.Data(
+                record_at=i.processed_data.user_info.cache.cached_at.astimezone(ZoneInfo('Asia/Shanghai')),
+                tr=i.processed_data.user_info.data.user.league.rating,
+            )
+            for i in historical_data
+            if isinstance(i.processed_data, ProcessedData)
+            and i.processed_data.user_info is not None
+            and isinstance(i.processed_data.user_info.data.user.league, RatedLeague)
+        ]
+
+        # 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
+            if value.record_at > today:
+                histories = histories[:index] + [
+                    get_specified_point(histories[index - 1], histories[index], today.replace(microsecond=1000))
+                ]
+                break
+        else:
+            histories.append(
+                get_specified_point(
+                    histories[-1],
+                    TETRIOInfo.TetraLeagueHistory.Data(
+                        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, TETRIOInfo.TetraLeagueHistory.Data(record_at=today - forward, tr=histories[0].tr))
+        return histories
+
+    @staticmethod
+    async def make_query_image(
+        user: User, user_info: InfoSuccess, sprint: SoloRecord | None, blitz: SoloRecord | None
+    ) -> bytes:
+        league = user_info.data.user.league
+        if not isinstance(league, RatedLeague) or league.vs is None:
+            raise TypeError
+        user_name = user_info.data.user.username.upper()
+        histories = await Processor.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 is not None:
+            duration = timedelta(milliseconds=sprint.endcontext.final_time).total_seconds()
+            sprint_value = f'{duration:.1f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.1f}s'  # noqa: PLR2004
+        else:
+            sprint_value = 'N/A'
+        blitz_value = f'{blitz.endcontext.score:,}' if blitz is not None else 'N/A'
+        async with HostPage(
+            await render(
+                'tetrio/info',
+                TETRIOInfo(
+                    user=TETRIOInfo.User(
+                        avatar=f'https://tetr.io/user-content/avatars/{user_info.data.user.id}.jpg?rv={user_info.data.user.avatar_revision}'
+                        if user_info.data.user.avatar_revision is not None
+                        else f'{{"type":"identicon","hash":"{md5(user_info.data.user.id.encode()).hexdigest()}"}}',  # noqa: S324
+                        name=user_name,
+                        bio=user_info.data.user.bio,
+                    ),
+                    ranking=TETRIOInfo.Ranking(
+                        rating=round(league.glicko, 2),
+                        rd=round(league.rd, 2),
+                    ),
+                    tetra_league=TETRIOInfo.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=TETRIOInfo.TetraLeagueHistory(
+                        data=histories,
+                        split_interval=split_value,
+                        min_tr=value_min,
+                        max_tr=value_max,
+                        offset=offset,
+                    ),
+                    radar=TETRIOInfo.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(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
+
+    async def get_user(self) -> None:
+        """
+        用于获取 UserName 和 UserID 的函数
+        """
+        if self.user.name is None:
+            self.user.name = (await self.get_user_info()).data.user.username
+        if self.user.ID is None:
+            self.user.ID = (await self.get_user_info()).data.user.id
+
+    async def get_user_info(self) -> InfoSuccess:
+        """获取用户数据"""
+        if self.processed_data.user_info is None:
+            self.raw_response.user_info = await Cache.get(
+                splice_url([BASE_URL, 'users/', f'{self.user.ID or self.user.name}'])
+            )
+            user_info: UserInfo = type_validate_json(UserInfo, self.raw_response.user_info)  # type: ignore[arg-type]
+            if isinstance(user_info, FailedModel):
+                raise RequestError(f'用户信息请求错误:\n{user_info.error}')
+            self.processed_data.user_info = user_info
+        return self.processed_data.user_info
+
+    async def get_user_records(self) -> RecordsSuccess:
+        """获取Solo数据"""
+        if self.processed_data.user_records is None:
+            self.raw_response.user_records = await Cache.get(
+                splice_url([BASE_URL, 'users/', f'{self.user.ID or self.user.name}/', 'records'])
+            )
+            user_records: UserRecords = type_validate_json(UserRecords, self.raw_response.user_records)  # type: ignore[arg-type]
+            if isinstance(user_records, FailedModel):
+                raise RequestError(f'用户Solo数据请求错误:\n{user_records.error}')
+            self.processed_data.user_records = user_records
+        return self.processed_data.user_records
+
+
+@scheduler.scheduled_job('cron', hour='0,6,12,18', minute=0)
+@retry(exception_type=RequestError, delay=timedelta(minutes=15))
+async def get_io_rank_data() -> None:
+    league_all: LeagueAll = type_validate_json(
+        LeagueAll,  # type: ignore[arg-type]
+        (data := await Cache.get(splice_url([BASE_URL, 'users/lists/league/all']))),
+    )
+    if isinstance(league_all, FailedModel):
+        raise RequestError(f'排行榜数据请求错误:\n{league_all.error}')
+
+    def pps(user: LeagueAllUser) -> float:
+        return user.league.pps
+
+    def apm(user: LeagueAllUser) -> float:
+        return user.league.apm
+
+    def vs(user: LeagueAllUser) -> float:
+        return user.league.vs
+
+    def _min(users: list[LeagueAllUser], field: Callable[[LeagueAllUser], float]) -> LeagueAllUser:
+        return min(users, key=field)
+
+    def _max(users: list[LeagueAllUser], field: Callable[[LeagueAllUser], float]) -> LeagueAllUser:
+        return max(users, key=field)
+
+    def build_extremes_data(
+        users: list[LeagueAllUser],
+        field: Callable[[LeagueAllUser], float],
+        sort: Callable[[list[LeagueAllUser], Callable[[LeagueAllUser], float]], LeagueAllUser],
+    ) -> tuple[dict[str, str], float]:
+        user = sort(users, field)
+        return User(ID=user.id, name=user.username).dict(), field(user)
+
+    data_hash: str | None = await run_sync((await run_sync(sha512)(data)).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)(data))
+
+    users = [i for i in league_all.data.users if isinstance(i, LeagueAllUser)]
+    rank_to_users: defaultdict[Rank, list[LeagueAllUser]] = 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_all.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_io_rank_data()

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/base.py

@@ -0,0 +1,20 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel
+
+
+class Cache(BaseModel):
+    status: str
+    cached_at: datetime
+    cached_until: datetime
+
+
+class SuccessModel(BaseModel):
+    success: Literal[True]
+    cache: Cache
+
+
+class FailedModel(BaseModel):
+    success: Literal[False]
+    error: str

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/league_all.py

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

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/response.py

@@ -0,0 +1,21 @@
+from typing import Literal
+
+from ... import ProcessedData as ProcessedDataMeta
+from ... import RawResponse as RawResponseMeta
+from ..constant import GAME_TYPE
+from .user_info import SuccessModel as InfoSuccess
+from .user_records import SuccessModel as RecordsSuccess
+
+
+class RawResponse(RawResponseMeta):
+    platform: Literal['IO'] = GAME_TYPE
+
+    user_info: bytes | None = None
+    user_records: bytes | None = None
+
+
+class ProcessedData(ProcessedDataMeta):
+    platform: Literal['IO'] = GAME_TYPE
+
+    user_info: InfoSuccess | None = None
+    user_records: RecordsSuccess | None = None

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/user.py

@@ -0,0 +1,17 @@
+from typing import Literal
+
+from ...schemas import BaseUser
+from ..constant import GAME_TYPE
+
+
+class User(BaseUser):
+    platform: Literal['IO'] = GAME_TYPE
+
+    ID: str | None = None
+    name: str | None = None
+
+    @property
+    def unique_identifier(self) -> str:
+        if self.ID is None:
+            raise ValueError('不完整的User!')
+        return self.ID

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/user_info.py

@@ -0,0 +1,126 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from ..typing import Rank
+from .base import FailedModel
+from .base import SuccessModel as BaseSuccessModel
+
+
+class SuccessModel(BaseSuccessModel):
+    class Data(BaseModel):
+        class User(BaseModel):
+            class Badge(BaseModel):
+                id: str
+                label: str
+                group: str | None = None
+                ts: datetime | Literal[False] | None = None
+
+            class NeverPlayedLeague(BaseModel):
+                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 = Field(None)
+                pps: None = Field(None)
+                vs: None = Field(None)
+                decaying: bool
+
+            class NeverRatedLeague(BaseModel):
+                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
+                decaying: bool
+
+            class RatedLeague(BaseModel):
+                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
+                decaying: bool
+
+            class Connections(BaseModel):
+                class Discord(BaseModel):
+                    id: str
+                    username: str
+
+                discord: Discord | None = None
+
+            class Distinguishment(BaseModel):
+                type: str
+
+            id: str = Field(..., alias='_id')
+            username: str
+            role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'banned']
+            ts: datetime | None = None
+            botmaster: str | None = None
+            badges: list[Badge]
+            xp: float
+            gamesplayed: int
+            gameswon: int
+            gametime: float
+            country: str | None = None
+            badstanding: bool | None = None
+            supporter: bool | None = None  # osk说是必有, 但实际上不是 fk osk
+            supporter_tier: int
+            verified: bool
+            league: NeverPlayedLeague | NeverRatedLeague | RatedLeague
+            avatar_revision: int | None = None
+            """This user's avatar ID. Get their avatar at
+
+            https://tetr.io/user-content/avatars/{ USERID }.jpg?rv={ AVATAR_REVISION }"""
+            banner_revision: int | None = None
+            """This user's banner ID. Get their banner at
+
+            https://tetr.io/user-content/banners/{ USERID }.jpg?rv={ BANNER_REVISION }
+
+            Ignore this field if the user is not a supporter."""
+            bio: str | None = None
+            connections: Connections
+            friend_count: int | None = None
+            distinguishment: Distinguishment | None = None
+
+        user: User
+
+    data: Data
+
+
+NeverPlayedLeague = SuccessModel.Data.User.NeverPlayedLeague
+NeverRatedLeague = SuccessModel.Data.User.NeverRatedLeague
+RatedLeague = SuccessModel.Data.User.RatedLeague
+UserInfo = SuccessModel | FailedModel

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/schemas/user_records.py

@@ -0,0 +1,118 @@
+from datetime import datetime
+
+from pydantic import BaseModel, Field
+
+from .base import FailedModel
+from .base import SuccessModel as BaseSuccessModel
+
+
+class EndContext(BaseModel):
+    class Time(BaseModel):
+        start: int
+        zero: bool
+        locked: bool
+        prev: int
+        frameoffset: int | None = None
+
+    class Clears(BaseModel):
+        singles: int
+        doubles: int
+        triples: int
+        quads: int
+        pentas: int | None = None
+        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 = None
+        cleared: int
+
+    class Finesse(BaseModel):
+        combo: int
+        faults: int
+        perfectpieces: int
+
+    seed: int
+    lines: int
+    level_lines: int
+    level_lines_needed: int
+    inputs: int
+    holds: int | None = None
+    time: Time
+    score: int
+    zenlevel: int | None = None
+    zenprogress: int | None = None
+    level: int
+    combo: int
+    currentcombopower: int | None = None  # WTF
+    topcombo: int
+    btb: int
+    topbtb: int
+    currentbtbchainpower: int | None = None  # WTF * 2
+    tspins: int
+    piecesplaced: int
+    clears: Clears
+    garbage: Garbage
+    kills: int
+    finesse: Finesse
+    final_time: float = Field(..., alias='finalTime')
+    gametype: str
+
+
+class _User(BaseModel):
+    id: str = Field(..., alias='_id')
+    username: str
+
+
+class _Record(BaseModel):
+    id: str = Field(..., alias='_id')
+    stream: str
+    replayid: str
+    user: _User
+    ts: datetime
+    ismulti: bool | None = None
+
+
+class BaseModeRecord(BaseModel):
+    class SoloRecord(_Record):
+        endcontext: EndContext
+
+    class MultiRecord(_Record):
+        endcontext: list[EndContext]
+
+    record: SoloRecord | MultiRecord | None = None
+    rank: int | None = None
+
+
+class SuccessModel(BaseSuccessModel):
+    class Data(BaseModel):
+        class Records(BaseModel):
+            class Sprint(BaseModeRecord): ...
+
+            class Blitz(BaseModeRecord): ...
+
+            sprint: Sprint = Field(..., alias='40l')
+            blitz: Blitz
+
+        class Zen(BaseModel):
+            level: int
+            score: int
+
+        records: Records
+        zen: Zen
+
+    data: Data
+
+
+SoloRecord = BaseModeRecord.SoloRecord
+MultiRecord = BaseModeRecord.MultiRecord
+UserRecords = SuccessModel | FailedModel

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/typing.py

@@ -0,0 +1,22 @@
+from typing import Literal
+
+Rank = Literal[
+    'x',
+    'u',
+    'ss',
+    's+',
+    's',
+    's-',
+    'a+',
+    'a',
+    'a-',
+    'b+',
+    'b',
+    'b-',
+    'c+',
+    'c',
+    'c-',
+    'd+',
+    'd',
+    'z',  # 未定级
+]

nonebot_plugin_tetris_stats/game_data_processor/schemas.py

@@ -0,0 +1,31 @@
+from abc import ABC, abstractmethod
+
+from pydantic import BaseModel
+
+from ..utils.typing import GameType
+
+
+class Base(BaseModel):
+    platform: GameType
+
+
+class BaseUser(ABC, Base):
+    """游戏用户"""
+
+    def __eq__(self, __value: object) -> bool:
+        if isinstance(__value, BaseUser):
+            return self.unique_identifier == __value.unique_identifier
+        return False
+
+    @property
+    @abstractmethod
+    def unique_identifier(self) -> str:
+        raise NotImplementedError
+
+
+class BaseRawResponse(Base):
+    """原始请求数据"""
+
+
+class BaseProcessedData(Base):
+    """处理/验证后的数据"""

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/__init__.py

@@ -0,0 +1,134 @@
+from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
+from nonebot.adapters import Bot, Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At, on_alconna
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo  # type: ignore[import-untyped]
+
+from ...db import query_bind_info
+from ...utils.exception import HandleNotFinishedError, NeedCatchError
+from ...utils.platform import get_platform
+from ...utils.typing import Me
+from .. import add_default_handlers
+from ..constant import BIND_COMMAND, QUERY_COMMAND
+from .constant import GAME_TYPE
+from .processor import Processor, User, identify_user_info
+
+alc = on_alconna(
+    Alconna(
+        'top',
+        Option(
+            BIND_COMMAND[0],
+            Args(
+                Arg(
+                    'account',
+                    identify_user_info,
+                    notice='TOP 用户名',
+                    flags=[ArgFlag.HIDDEN],
+                )
+            ),
+            alias=BIND_COMMAND[1:],
+            compact=True,
+            dest='bind',
+            help_text='绑定 TOP 账号',
+        ),
+        Option(
+            QUERY_COMMAND[0],
+            Args(
+                Arg(
+                    'target',
+                    At | Me,
+                    notice='@想要查询的人 | 自己',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+                Arg(
+                    'account',
+                    identify_user_info | Me | At,
+                    notice='TOP 用户名',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+            ),
+            alias=QUERY_COMMAND[1:],
+            compact=True,
+            dest='query',
+            help_text='查询 TOP 游戏信息',
+        ),
+        Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
+        meta=CommandMeta(
+            description='查询 TetrisOnline波兰服 的信息',
+            example='top绑定scdhh\ntop查我',
+            compact=True,
+            fuzzy_match=True,
+        ),
+    ),
+    skip_for_unmatch=False,
+    auto_send_output=True,
+    aliases={'TOP'},
+)
+
+
+@alc.assign('bind')
+async def _(  # noqa: PLR0913
+    bot: Bot,
+    event: Event,
+    matcher: Matcher,
+    account: User,
+    bot_info: UserInfo = BotUserInfo(),  # noqa: B008
+    user_info: UserInfo = EventUserInfo(),  # noqa: B008
+):
+    proc = Processor(
+        event_id=id(event),
+        user=account,
+        command_args=[],
+    )
+    try:
+        await (
+            await proc.handle_bind(
+                platform=get_platform(bot), account=event.get_user_id(), bot_info=bot_info, user_info=user_info
+            )
+        ).finish()
+    except NeedCatchError as e:
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+@alc.assign('query')
+async def _(bot: Bot, event: Event, matcher: Matcher, target: At | Me):
+    async with get_session() as session:
+        bind = await query_bind_info(
+            session=session,
+            chat_platform=get_platform(bot),
+            chat_account=(target.target if isinstance(target, At) else event.get_user_id()),
+            game_platform=GAME_TYPE,
+        )
+    if bind is None:
+        await matcher.finish('未查询到绑定信息')
+    message = '* 由于无法验证绑定信息, 不能保证查询到的用户为本人\n'
+    proc = Processor(
+        event_id=id(event),
+        user=User(name=bind.game_account),
+        command_args=[],
+    )
+    try:
+        await (UniMessage(message) + await proc.handle_query()).finish()
+    except NeedCatchError as e:
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+@alc.assign('query')
+async def _(event: Event, matcher: Matcher, account: User):
+    proc = Processor(
+        event_id=id(event),
+        user=account,
+        command_args=[],
+    )
+    try:
+        await (await proc.handle_query()).finish()
+    except NeedCatchError as e:
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+add_default_handlers(alc)

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/constant.py

@@ -0,0 +1,4 @@
+from typing import Literal
+
+GAME_TYPE: Literal['TOP'] = 'TOP'
+BASE_URL = 'http://tetrisonline.pl/top/'

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/processor.py

@@ -0,0 +1,165 @@
+from contextlib import suppress
+from dataclasses import dataclass
+from io import StringIO
+from re import match
+from typing import Literal
+from urllib.parse import urlencode, urlunparse
+
+from lxml import etree
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_userinfo import UserInfo  # type: ignore[import-untyped]
+from pandas import read_html
+from typing_extensions import override
+
+from ...db import BindStatus, create_or_update_bind
+from ...utils.avatar import get_avatar
+from ...utils.exception import MessageFormatError, RequestError
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.render import Bind, render
+from ...utils.request import Request, splice_url
+from ...utils.screenshot import screenshot
+from .. import Processor as ProcessorMeta
+from ..schemas import BaseUser
+from .constant import BASE_URL, GAME_TYPE
+from .schemas.response import ProcessedData, RawResponse
+
+
+class User(BaseUser):
+    platform: Literal['TOP'] = GAME_TYPE
+
+    name: str
+
+    @property
+    @override
+    def unique_identifier(self) -> str:
+        return self.name
+
+
+@dataclass
+class Data:
+    lpm: float
+    apm: float
+
+
+@dataclass
+class GameData:
+    day: Data | None
+    total: Data | None
+
+
+def identify_user_info(info: str) -> User | MessageFormatError:
+    if match(r'^[a-zA-Z0-9_]{1,16}$', info):
+        return User(name=info)
+    return MessageFormatError('用户名不合法')
+
+
+class Processor(ProcessorMeta):
+    user: User
+    raw_response: RawResponse
+    processed_data: ProcessedData
+
+    @override
+    def __init__(self, event_id: int, user: User, command_args: list[str]) -> None:
+        super().__init__(event_id, user, command_args)
+        self.raw_response = RawResponse()
+        self.processed_data = ProcessedData()
+
+    @property
+    @override
+    def game_platform(self) -> Literal['TOP']:
+        return GAME_TYPE
+
+    @override
+    async def handle_bind(self, platform: str, account: str, bot_info: UserInfo, user_info: UserInfo) -> UniMessage:
+        """处理绑定消息"""
+        self.command_type = 'bind'
+        await self.check_user()
+        async with get_session() as session:
+            bind_status = await create_or_update_bind(
+                session=session,
+                chat_platform=platform,
+                chat_account=account,
+                game_platform=GAME_TYPE,
+                game_account=self.user.name,
+            )
+        if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
+            async with HostPage(
+                await render(
+                    'binding',
+                    Bind(
+                        platform=self.game_platform,
+                        status='unknown',
+                        user=Bind.People(
+                            avatar=await get_avatar(user_info, 'Data URI', None),
+                            name=(await self.get_user_name()).upper(),
+                        ),
+                        bot=Bind.People(
+                            avatar=await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg'),
+                            name=bot_info.user_name,
+                        ),
+                        command='top查我',
+                    ),
+                )
+            ) as page_hash:
+                message = UniMessage.image(
+                    raw=await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
+                )
+        return message
+
+    @override
+    async def handle_query(self) -> UniMessage:
+        """处理查询消息"""
+        self.command_type = 'query'
+        await self.check_user()
+        game_data = await self.get_game_data()
+        message = ''
+        if game_data.day is not None:
+            message += f'用户 {self.user.name} 24小时内统计数据为: '
+            message += f"\nL'PM: {round(game_data.day.lpm,2)} ( {round(game_data.day.lpm/24,2)} pps )"
+            message += f'\nAPM: {round(game_data.day.apm,2)} ( x{round(game_data.day.apm/game_data.day.lpm,2)} )'
+        else:
+            message += f'用户 {self.user.name} 暂无24小时内统计数据'
+        if game_data.total is not None:
+            message += '\n历史统计数据为: '
+            message += f"\nL'PM: {round(game_data.total.lpm,2)} ( {round(game_data.total.lpm/24,2)} pps )"
+            message += f'\nAPM: {round(game_data.total.apm,2)} ( x{round(game_data.total.apm/game_data.total.lpm,2)} )'
+        else:
+            message += '\n暂无历史统计数据'
+        return UniMessage(message)
+
+    async def get_user_profile(self) -> str:
+        """获取用户信息"""
+        if self.processed_data.user_profile is None:
+            url = splice_url([BASE_URL, 'profile.php', f'?{urlencode({"user":self.user.name})}'])
+            self.raw_response.user_profile = await Request.request(url, is_json=False)
+            self.processed_data.user_profile = self.raw_response.user_profile.decode()
+        return self.processed_data.user_profile
+
+    async def check_user(self) -> None:
+        if 'user not found!' in await self.get_user_profile():
+            raise RequestError('用户不存在!')
+
+    async def get_user_name(self) -> str:
+        """获取用户名"""
+        data = etree.HTML(await self.get_user_profile()).xpath('//div[@class="mycontent"]/h1/text()')
+        return data[0].replace("'s profile", '')
+
+    async def get_game_data(self) -> GameData:
+        """获取游戏统计数据"""
+        html = etree.HTML(await self.get_user_profile())
+        day = None
+        with suppress(ValueError):
+            day = Data(
+                lpm=float(str(html.xpath('//div[@class="mycontent"]/text()[3]')[0]).replace('lpm:', '').strip()),
+                apm=float(str(html.xpath('//div[@class="mycontent"]/text()[4]')[0]).replace('apm:', '').strip()),
+            )
+        table = StringIO(
+            etree.tostring(
+                html.xpath('//div[@class="mycontent"]/table[@class="mytable"]')[0],
+                encoding='utf-8',
+            ).decode()
+        )
+        dataframe = read_html(table, encoding='utf-8', header=0)[0]
+        total = Data(lpm=dataframe['lpm'].mean(), apm=dataframe['apm'].mean()) if len(dataframe) != 0 else None
+        return GameData(day=day, total=total)

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor/schemas/response.py

@@ -0,0 +1,16 @@
+from typing import Literal
+
+from ...schemas import BaseProcessedData, BaseRawResponse
+from ..constant import GAME_TYPE
+
+
+class RawResponse(BaseRawResponse):
+    platform: Literal['TOP'] = GAME_TYPE
+
+    user_profile: bytes | None = None
+
+
+class ProcessedData(BaseProcessedData):
+    platform: Literal['TOP'] = GAME_TYPE
+
+    user_profile: str | None = None

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/__init__.py

@@ -0,0 +1,197 @@
+from typing import NoReturn
+
+from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
+from nonebot.adapters import Bot, Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At, on_alconna
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_userinfo import BotUserInfo, EventUserInfo, UserInfo  # type: ignore[import-untyped]
+
+from ...db import query_bind_info
+from ...utils.exception import HandleNotFinishedError, NeedCatchError, RequestError
+from ...utils.platform import get_platform
+from ...utils.typing import Me
+from .. import add_default_handlers
+from ..constant import BIND_COMMAND, QUERY_COMMAND
+from .constant import GAME_TYPE
+from .processor import Processor, User, identify_user_info
+
+alc = on_alconna(
+    Alconna(
+        '茶服',
+        Option(
+            BIND_COMMAND[0],
+            Args(
+                Arg(
+                    'account',
+                    identify_user_info,
+                    notice='茶服 用户名 / TeaID',
+                    flags=[ArgFlag.HIDDEN],
+                )
+            ),
+            alias=BIND_COMMAND[1:],
+            compact=True,
+            dest='bind',
+            help_text='绑定 茶服 账号',
+        ),
+        Option(
+            QUERY_COMMAND[0],
+            Args(
+                Arg(
+                    'target',
+                    At | Me,
+                    notice='@想要查询的人 | 自己',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+                Arg(
+                    'account',
+                    identify_user_info,
+                    notice='茶服 用户名 / TeaID',
+                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+                ),
+                # 如果放在一个 Union Args 里, 验证顺序不能保证, 可能出错
+            ),
+            alias=QUERY_COMMAND[1:],
+            compact=True,
+            dest='query',
+            help_text='查询 茶服 游戏信息',
+        ),
+        Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
+        meta=CommandMeta(
+            description='查询 TetrisOnline茶服 的信息',
+            example='茶服查我',
+            compact=True,
+            fuzzy_match=True,
+        ),
+    ),
+    skip_for_unmatch=False,
+    auto_send_output=True,
+    aliases={'tos', 'TOS'},
+)
+
+
+async def finish_special_query(matcher: Matcher, proc: Processor) -> NoReturn:
+    try:
+        await (await proc.handle_query()).finish()
+    except NeedCatchError as e:
+        if isinstance(e, RequestError) and '未找到此用户' in e.message:
+            matcher.skip()
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+try:
+    from nonebot.adapters.onebot.v11 import GROUP as OB11GROUP
+    from nonebot.adapters.onebot.v11 import Bot as OB11Bot
+    from nonebot.adapters.onebot.v11 import MessageEvent as OB11MessageEvent
+
+    @alc.assign('query')
+    async def _(bot: OB11Bot, event: OB11MessageEvent, matcher: Matcher, target: At | Me):
+        if event.is_tome() and await OB11GROUP(bot, event):
+            await matcher.finish('不能查询bot的信息')
+        proc = Processor(
+            event_id=id(event),
+            user=User(teaid=f'onebot-{target.target}' if isinstance(target, At) else f'onebot-{event.get_user_id()}'),
+            command_args=[],
+        )
+        await finish_special_query(matcher, proc)
+
+except ImportError:
+    pass
+
+try:
+    from nonebot.adapters.kaiheila.event import MessageEvent as KookMessageEvent
+
+    @alc.assign('query')
+    async def _(event: KookMessageEvent, matcher: Matcher, target: At | Me):
+        proc = Processor(
+            event_id=id(event),
+            user=User(teaid=f'kook-{target.target}' if isinstance(target, At) else f'kook-{event.get_user_id()}'),
+            command_args=[],
+        )
+        await finish_special_query(matcher, proc)
+
+except ImportError:
+    pass
+
+try:
+    from nonebot.adapters.discord import MessageEvent as DiscordMessageEvent
+
+    @alc.assign('query')
+    async def _(event: DiscordMessageEvent, matcher: Matcher, target: At | Me):
+        proc = Processor(
+            event_id=id(event),
+            user=User(teaid=f'discord-{target.target}' if isinstance(target, At) else f'discord-{event.get_user_id()}'),
+            command_args=[],
+        )
+        await finish_special_query(matcher, proc)
+
+except ImportError:
+    pass
+
+
+@alc.assign('bind')
+async def _(  # noqa: PLR0913
+    bot: Bot,
+    event: Event,
+    matcher: Matcher,
+    account: User,
+    bot_info: UserInfo = BotUserInfo(),  # noqa: B008
+    user_info: UserInfo = EventUserInfo(),  # noqa: B008
+):
+    proc = Processor(
+        event_id=id(event),
+        user=account,
+        command_args=[],
+    )
+    try:
+        await (
+            await proc.handle_bind(
+                platform=get_platform(bot), account=event.get_user_id(), bot_info=bot_info, nb_user_info=user_info
+            )
+        ).finish()
+    except NeedCatchError as e:
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+@alc.assign('query')
+async def _(bot: Bot, event: Event, matcher: Matcher, target: At | Me):
+    async with get_session() as session:
+        bind = await query_bind_info(
+            session=session,
+            chat_platform=get_platform(bot),
+            chat_account=(target.target if isinstance(target, At) else event.get_user_id()),
+            game_platform=GAME_TYPE,
+        )
+    if bind is None:
+        await matcher.finish('未查询到绑定信息')
+    message = '* 由于无法验证绑定信息, 不能保证查询到的用户为本人\n'
+    proc = Processor(
+        event_id=id(event),
+        user=User(teaid=bind.game_account),
+        command_args=[],
+    )
+    try:
+        await (UniMessage(message) + await proc.handle_query()).finish()
+    except NeedCatchError as e:
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+@alc.assign('query')
+async def _(event: Event, matcher: Matcher, account: User):
+    proc = Processor(
+        event_id=id(event),
+        user=account,
+        command_args=[],
+    )
+    try:
+        await (await proc.handle_query()).finish()
+    except NeedCatchError as e:
+        await matcher.send(str(e))
+        raise HandleNotFinishedError from e
+
+
+add_default_handlers(alc)

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/constant.py

@@ -0,0 +1,10 @@
+from typing import Literal
+
+GAME_TYPE: Literal['TOS'] = 'TOS'
+BASE_URL = {
+    'https://teatube.cn:8888/',
+    'http://cafuuchino1.studio26f.org:19970',
+    'http://cafuuchino2.studio26f.org:19970',
+    'http://cafuuchino3.studio26f.org:19970',
+    'http://cafuuchino4.studio26f.org:19970',
+}

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/processor.py

@@ -0,0 +1,257 @@
+from dataclasses import dataclass
+from re import match
+from typing import Literal
+from urllib.parse import urlencode, urlunparse
+
+from httpx import TimeoutException
+from nonebot.compat import type_validate_json
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_userinfo import UserInfo as NBUserInfo  # type: ignore[import-untyped]
+from typing_extensions import override
+
+from ...db import BindStatus, create_or_update_bind
+from ...utils.avatar import get_avatar
+from ...utils.exception import MessageFormatError, RequestError
+from ...utils.host import HostPage, get_self_netloc
+from ...utils.render import Bind, render
+from ...utils.request import Request, splice_url
+from ...utils.screenshot import screenshot
+from .. import Processor as ProcessorMeta
+from ..schemas import BaseUser
+from .constant import BASE_URL, GAME_TYPE
+from .schemas.response import ProcessedData, RawResponse
+from .schemas.user_info import SuccessModel as InfoSuccess
+from .schemas.user_info import UserInfo
+from .schemas.user_profile import UserProfile
+
+
+class User(BaseUser):
+    platform: Literal['TOS'] = GAME_TYPE
+
+    teaid: str | None = None
+    name: str | None = None
+
+    @property
+    @override
+    def unique_identifier(self) -> str:
+        if self.teaid is None:
+            raise ValueError('不完整的User!')
+        return self.teaid
+
+
+@dataclass
+class GameData:
+    num: int
+    pps: float
+    lpm: float
+    apm: float
+    adpm: float
+    apl: float
+    adpl: float
+    vs: float
+
+
+def identify_user_info(info: str) -> User | MessageFormatError:
+    if (
+        match(
+            r'^(?!\.)(?!com[0-9]$)(?!con$)(?!lpt[0-9]$)(?!nul$)(?!prn$)[^\-][^\+][^\|\*\?\\\s\!:<>/$"]*[^\.\|\*\?\\\s\!:<>/$"]+$',
+            info,
+        )
+        and info.isdigit() is False
+        and 2 <= len(info) <= 18  # noqa: PLR2004
+    ):
+        return User(name=info)
+    if info.startswith(('onebot-', 'qqguild-', 'kook-', 'discord-')) and info.split('-', maxsplit=1)[1].isdigit():
+        return User(teaid=info)
+    return MessageFormatError('用户名/QQ号不合法')
+
+
+class Processor(ProcessorMeta):
+    user: User
+    raw_response: RawResponse
+    processed_data: ProcessedData
+
+    @override
+    def __init__(self, event_id: int, user: User, command_args: list[str]) -> None:
+        super().__init__(event_id, user, command_args)
+        self.raw_response = RawResponse(user_profile={})
+        self.processed_data = ProcessedData(user_profile={})
+
+    @property
+    @override
+    def game_platform(self) -> Literal['TOS']:
+        return GAME_TYPE
+
+    @override
+    async def handle_bind(
+        self, platform: str, account: str, bot_info: NBUserInfo, nb_user_info: NBUserInfo
+    ) -> UniMessage:
+        """处理绑定消息"""
+        self.command_type = 'bind'
+        await self.get_user()
+        async with get_session() as session:
+            bind_status = await create_or_update_bind(
+                session=session,
+                chat_platform=platform,
+                chat_account=account,
+                game_platform=GAME_TYPE,
+                game_account=self.user.unique_identifier,
+            )
+        user_info = await self.get_user_info()
+        if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
+            async with HostPage(
+                await render(
+                    'binding',
+                    Bind(
+                        platform=self.game_platform,
+                        status='unknown',
+                        user=Bind.People(
+                            avatar=await get_avatar(nb_user_info, 'Data URI', None), name=user_info.data.name
+                        ),
+                        bot=Bind.People(
+                            avatar=await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg'),
+                            name=bot_info.user_name,
+                        ),
+                        command='茶服查我',
+                    ),
+                )
+            ) as page_hash:
+                message = UniMessage.image(
+                    raw=await screenshot(urlunparse(('http', get_self_netloc(), f'/host/{page_hash}.html', '', '', '')))
+                )
+        return message
+
+    @override
+    async def handle_query(self) -> UniMessage:
+        """处理查询消息"""
+        self.command_type = 'query'
+        await self.get_user()
+        user_info = (await self.get_user_info()).data
+        message = f'用户 {user_info.name} ({user_info.teaid}) '
+        if user_info.ranked_games == '0':
+            message += '暂无段位统计数据'
+        else:
+            message += f', 段位分 {round(float(user_info.rating_now),2)}±{round(float(user_info.rd_now),2)} ({round(float(user_info.vol_now),2)}) '
+        game_data = await self.get_game_data()
+        if game_data is None:
+            message += ', 暂无游戏数据'
+        else:
+            message += f', 最近 {game_data.num} 局数据'
+            message += f"\nL'PM: {game_data.lpm} ( {game_data.pps} pps )"
+            message += f'\nAPM: {game_data.apm} ( x{game_data.apl} )'
+            message += f'\nADPM: {game_data.adpm} ( x{game_data.adpl} ) ( {game_data.vs}vs )'
+        message += f'\n40L: {float(user_info.pb_sprint)/1000:.2f}s' if user_info.pb_sprint != '2147483647' else ''
+        message += f'\nMarathon: {user_info.pb_marathon}' if user_info.pb_marathon != '0' else ''
+        message += f'\nChallenge: {user_info.pb_challenge}' if user_info.pb_challenge != '0' else ''
+        return UniMessage(message)
+
+    async def get_user(self) -> None:
+        """
+        用于获取 UserName 和 UserID 的函数
+        """
+        if self.user.name is None:
+            self.user.name = (await self.get_user_info()).data.name
+        if self.user.teaid is None:
+            self.user.teaid = (await self.get_user_info()).data.teaid
+
+    async def get_user_info(self) -> InfoSuccess:
+        """获取用户信息"""
+        if self.processed_data.user_info is None:
+            if self.user.teaid is not None:
+                url = [
+                    splice_url(
+                        [
+                            i,
+                            'getTeaIdInfo',
+                            f'?{urlencode({"teaId":self.user.teaid})}',
+                        ]
+                    )
+                    for i in BASE_URL
+                ]
+            else:
+                url = [
+                    splice_url(
+                        [
+                            i,
+                            'getUsernameInfo',
+                            f'?{urlencode({"username":self.user.name})}',
+                        ]
+                    )
+                    for i in BASE_URL
+                ]
+            self.raw_response.user_info = await Request.failover_request(
+                url, failover_code=[502], failover_exc=(TimeoutException,)
+            )
+            user_info: UserInfo = type_validate_json(UserInfo, self.raw_response.user_info)  # type: ignore[arg-type]
+            if not isinstance(user_info, InfoSuccess):
+                raise RequestError(f'用户信息请求错误:\n{user_info.error}')
+            self.processed_data.user_info = user_info
+        return self.processed_data.user_info
+
+    async def get_user_profile(self, other_parameter: dict[str, str | bytes] | None = None) -> UserProfile:
+        """获取用户数据"""
+        if other_parameter is None:
+            other_parameter = {}
+        params = urlencode(dict(sorted(other_parameter.items())))
+        if self.processed_data.user_profile.get(params) is None:
+            self.raw_response.user_profile[params] = await Request.failover_request(
+                [
+                    splice_url(
+                        [
+                            i,
+                            'getProfile',
+                            f'?{urlencode({"id":self.user.teaid or self.user.name,**other_parameter})}',
+                        ]
+                    )
+                    for i in BASE_URL
+                ],
+                failover_code=[502],
+                failover_exc=(TimeoutException,),
+            )
+            self.processed_data.user_profile[params] = type_validate_json(
+                UserProfile, self.raw_response.user_profile[params]
+            )
+        return self.processed_data.user_profile[params]
+
+    async def get_game_data(self) -> GameData | None:
+        """获取游戏数据"""
+        user_profile = await self.get_user_profile()
+        if user_profile.data == []:
+            return None
+        weighted_total_lpm = weighted_total_apm = weighted_total_adpm = 0.0
+        total_time = 0.0
+        num = 0
+        for i in user_profile.data:
+            # 排除单人局和时间为0的游戏
+            # 茶: 不计算没挖掘的局, 即使apm和lpm也如此
+            if i.num_players == 1 or i.time == 0 or i.dig is None:
+                continue
+            # 加权计算
+            time = i.time / 1000
+            lpm = 24 * (i.pieces / time)
+            apm = (i.attack / time) * 60
+            adpm = ((i.attack + i.dig) / time) * 60
+            weighted_total_lpm += lpm * time
+            weighted_total_apm += apm * time
+            weighted_total_adpm += adpm * time
+            total_time += time
+            num += 1
+            if num == 50:  # noqa: PLR2004  # TODO: 将查询局数作为可选命令参数
+                break
+        if num == 0:
+            return None
+        # TODO: 如果有效局数不满50, 没有无dig信息的局, 且userData['data']内有50个局, 则继续往前获取信息
+        lpm = weighted_total_lpm / total_time
+        apm = weighted_total_apm / total_time
+        adpm = weighted_total_adpm / total_time
+        return GameData(
+            num=num,
+            pps=round(lpm / 24, 2),
+            lpm=round(lpm, 2),
+            apm=round(apm, 2),
+            adpm=round(adpm, 2),
+            apl=round((apm / lpm), 2),
+            adpl=round((adpm / lpm), 2),
+            vs=round((adpm / 60 * 100), 2),
+        )

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/schemas/response.py

@@ -0,0 +1,20 @@
+from typing import Literal
+
+from ...schemas import BaseProcessedData, BaseRawResponse
+from ..constant import GAME_TYPE
+from .user_info import SuccessModel as InfoSuccess
+from .user_profile import UserProfile
+
+
+class RawResponse(BaseRawResponse):
+    platform: Literal['TOS'] = GAME_TYPE
+
+    user_profile: dict[str, bytes]
+    user_info: bytes | None = None
+
+
+class ProcessedData(BaseProcessedData):
+    platform: Literal['TOS'] = GAME_TYPE
+
+    user_profile: dict[str, UserProfile]
+    user_info: InfoSuccess | None = None

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/schemas/user_info.py

@@ -0,0 +1,86 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+
+class SuccessModel(BaseModel):
+    class Data(BaseModel):
+        class PeriodMatch(BaseModel):
+            name: str
+            teaid: str = Field(..., alias='teaId')
+            rating: str
+            rd: str
+            start_time: datetime = Field(..., alias='startTime')
+            end_time: datetime = Field(..., alias='endTime')
+            win: str
+            lose: str
+            score: str
+
+        class UserDataTotalItem(BaseModel):
+            time_map: str = Field(..., alias='timeMap')
+            pieces_map: str = Field(..., alias='piecesMap')
+            clear_lines_map: str = Field(..., alias='clearLinesMap')
+            attacks_map: str = Field(..., alias='attacksMap')
+            dig_map: str = Field(..., alias='digMap')
+            send_map: str = Field(..., alias='sendMap')
+            rise_map: str = Field(..., alias='riseMap')
+            offset_map: str = Field(..., alias='offsetMap')
+            receive_map: str = Field(..., alias='receiveMap')
+            games_map: str = Field(..., alias='gamesMap')
+            tetris_map: str = Field(..., alias='tetrisMap')
+            combo_map: str = Field(..., alias='comboMap')
+            tspin_map: str = Field(..., alias='tspinMap')
+            b2b_map: str = Field(..., alias='b2bMap')
+            perfect_clear_map: str = Field(..., alias='perfectClearMap')
+            time_no_map: str = Field(..., alias='timeNoMap')
+            pieces_no_map: str = Field(..., alias='piecesNoMap')
+            clear_lines_no_map: str = Field(..., alias='clearLinesNoMap')
+            attacks_no_map: str = Field(..., alias='attacksNoMap')
+            dig_no_map: str = Field(..., alias='digNoMap')
+            send_no_map: str = Field(..., alias='sendNoMap')
+            rise_no_map: str = Field(..., alias='riseNoMap')
+            offset_no_map: str = Field(..., alias='offsetNoMap')
+            receive_no_map: str = Field(..., alias='receiveNoMap')
+            games_no_map: str = Field(..., alias='gamesNoMap')
+            tetris_no_map: str = Field(..., alias='tetrisNoMap')
+            combo_no_map: str = Field(..., alias='comboNoMap')
+            tspin_no_map: str = Field(..., alias='tspinNoMap')
+            b2b_no_map: str = Field(..., alias='b2bNoMap')
+            perfect_clear_no_map: str = Field(..., alias='perfectClearNoMap')
+
+        teaid: str = Field(..., alias='teaId')
+        name: str
+        total_exp: str = Field(..., alias='totalExp')
+        ranking: str
+        ranked_games: str = Field(..., alias='rankedGames')
+        rating_now: str = Field(..., alias='ratingNow')
+        rd_now: str = Field(..., alias='rdNow')
+        vol_now: str = Field(..., alias='volNow')
+        rating_last: str = Field(..., alias='ratingLast')
+        rd_last: str = Field(..., alias='rdLast')
+        vol_last: str = Field(..., alias='volLast')
+        period_matches: list[PeriodMatch] = Field(..., alias='periodMatches')
+        user_data_total: list[UserDataTotalItem] = Field(..., alias='userDataTotal')
+        ranking_items: str = Field(..., alias='rankingItems')
+        ranking_game_items: str = Field(..., alias='rankingGameItems')
+        training_level: str = Field(..., alias='trainingLevel')
+        training_wins: str = Field(..., alias='trainingWins')
+        pb_sprint: str = Field(..., alias='PBSprint')
+        pb_marathon: str = Field(..., alias='PBMarathon')
+        pb_challenge: str = Field(..., alias='PBChallenge')
+        register_date: datetime = Field(..., alias='registerDate')
+        last_login_date: datetime = Field(..., alias='lastLoginDate')
+
+    code: int
+    success: Literal[True]
+    data: Data
+
+
+class FailedModel(BaseModel):
+    code: int
+    success: Literal[False]
+    error: str
+
+
+UserInfo = SuccessModel | FailedModel

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor/schemas/user_profile.py

@@ -0,0 +1,33 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel
+
+
+class UserProfile(BaseModel):
+    class Data(BaseModel):
+        idmultiplayergameresult: int
+        iduser: str
+        teaid: str
+        time: int
+        clear_lines: int
+        attack: int
+        send: int
+        offset: int
+        receive: int
+        rise: int
+        dig: int
+        pieces: int
+        max_combo: int
+        pc_count: int
+        place: int
+        num_players: int
+        fumen_code: Literal['0', '1']  # wtf
+        rule_set: str
+        garbage: str
+        idmultiplayergame: int
+        datetime: datetime
+
+    code: int
+    success: bool
+    data: list[Data]

nonebot_plugin_tetris_stats/utils/avatar.py

@@ -0,0 +1,52 @@
+from base64 import b64encode
+from io import BytesIO
+from typing import Literal, overload
+
+from nonebot_plugin_userinfo import UserInfo  # type: ignore[import-untyped]
+from PIL import Image
+
+
+@overload
+async def get_avatar(user: UserInfo, scheme: Literal['Data URI'], default: str | None) -> str:
+    """获取用户头像的指定格式
+
+    Args:
+        user (UserInfo): 要获取的用户
+        scheme (Literal['Data URI']): 格式
+        default (str | None): 获取不到时的默认值
+
+    Raises:
+        TypeError: Can't get avatar: 当获取不到头像并且没有设置默认值时抛出
+        TypeError: Can't get avatar format: 当获取到的头像无法识别格式时抛出
+
+    Returns:
+        str: Data URI 格式的头像
+    """
+
+
+@overload
+async def get_avatar(user: UserInfo, scheme: Literal['bytes'], default: str | None) -> bytes:
+    """获取用户头像的指定格式
+
+    Args:
+        user (UserInfo): 要获取的用户
+        scheme (Literal['bytes']): 格式
+        default (str | None): 获取不到时的默认值
+
+    Returns:
+        bytes: bytes 格式的头像
+    """
+
+
+async def get_avatar(user: UserInfo, scheme: Literal['Data URI', 'bytes'], default: str | None) -> str | bytes:
+    if user.user_avatar is None:
+        if default is None:
+            raise TypeError("Can't get avatar")
+        return default
+    bot_avatar = await user.user_avatar.get_image()
+    if scheme == 'Data URI':
+        avatar_format = Image.open(BytesIO(bot_avatar)).format
+        if avatar_format is None:
+            raise TypeError("Can't get avatar format")
+        return f'data:{Image.MIME[avatar_format]};base64,{b64encode(bot_avatar).decode()}'
+    return bot_avatar

nonebot_plugin_tetris_stats/utils/browser.py

@@ -0,0 +1,87 @@
+import sys
+from os import environ
+from platform import system
+from re import sub
+
+from nonebot import get_driver
+from nonebot.log import logger
+from playwright.__main__ import main
+from playwright.async_api import Browser, async_playwright
+
+driver = get_driver()
+
+global_config = driver.config
+
+
+@driver.on_startup
+async def _():
+    await BrowserManager._init_playwright()
+
+
+@driver.on_shutdown
+async def _():
+    await BrowserManager._close_browser()
+
+
+class BrowserManager:
+    """浏览器管理类"""
+
+    _browser: Browser | None = None
+
+    @classmethod
+    async def _init_playwright(cls) -> None:
+        if system() == 'Windows' and getattr(global_config, 'fastapi_reload', False):
+            raise ImportError('加载失败, Windows 必须设置 FASTAPI_RELOAD=false 才能正常运行 playwright')
+        logger.info('开始 安装/更新 playwright 浏览器')
+        environ['PLAYWRIGHT_DOWNLOAD_HOST'] = 'https://npmmirror.com/mirrors/playwright/'
+        if cls._call_playwright(['', 'install', 'firefox']):
+            logger.success('安装/更新 playwright 浏览器成功')
+        else:
+            logger.warning('playwright 浏览器 安装/更新 失败, 尝试使用原始仓库下载')
+            del environ['PLAYWRIGHT_DOWNLOAD_HOST']
+            if cls._call_playwright(['', 'install', 'firefox']):
+                logger.success('安装/更新 playwright 浏览器成功')
+            else:
+                logger.error('安装/更新 playwright 浏览器失败')
+        try:
+            await cls._start_browser()
+        except BaseException as e:  # 不知道会有什么异常, 交给用户解决
+            raise ImportError(
+                'playwright 启动失败, 请尝试在命令行运行 playwright install-deps firefox, 如果仍然启动失败, 请参考上面的报错👆'
+            ) from e
+        else:
+            logger.success('playwright 启动成功')
+
+    @classmethod
+    def _call_playwright(cls, argv: list[str]) -> bool:
+        """等价于调用 playwright 的命令行程序"""
+        argv_backup = sys.argv.copy()
+        sys.argv[0] = sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+        sys.argv = argv
+        try:
+            main()
+        except SystemExit as e:
+            return e.code == 0
+        except BaseException:  # noqa: BLE001
+            return False
+        finally:
+            sys.argv = argv_backup
+        return True
+
+    @classmethod
+    async def _start_browser(cls) -> Browser:
+        """启动浏览器实例"""
+        playwright = await async_playwright().start()
+        cls._browser = await playwright.firefox.launch()
+        return cls._browser
+
+    @classmethod
+    async def get_browser(cls) -> Browser:
+        """获取浏览器实例"""
+        return cls._browser or await cls._start_browser()
+
+    @classmethod
+    async def _close_browser(cls) -> None:
+        """关闭浏览器实例"""
+        if isinstance(cls._browser, Browser):
+            await cls._browser.close()

nonebot_plugin_tetris_stats/utils/exception.py

@@ -0,0 +1,39 @@
+class TetrisStatsError(Exception):
+    """所有 TetrisStats 发生的异常基类"""
+
+    def __init__(self, message: str = ''):
+        self.message = message
+
+    def __str__(self) -> str:
+        return self.message
+
+    def __repr__(self) -> str:
+        return self.message
+
+
+class NeedCatchError(TetrisStatsError):
+    """需要被捕获的异常基类"""
+
+
+class RequestError(NeedCatchError):
+    """请求错误"""
+
+    def __init__(self, message: str = '', *, status_code: int | None = None):
+        super().__init__(message)
+        self.status_code = status_code
+
+
+class MessageFormatError(NeedCatchError):
+    """用户发送的消息格式不正确"""
+
+
+class DoNotCatchError(TetrisStatsError):
+    """不应该被捕获的异常基类"""
+
+
+class WhatTheFuckError(DoNotCatchError):
+    """用于表示不应该出现的情况 ("""
+
+
+class HandleNotFinishedError(DoNotCatchError):
+    """任务没有正常完成处理的错误"""

nonebot_plugin_tetris_stats/utils/host.py

@@ -0,0 +1,70 @@
+from hashlib import sha256
+from ipaddress import IPv4Address, IPv6Address
+from typing import ClassVar
+
+from fastapi import FastAPI, status
+from fastapi.responses import HTMLResponse
+from fastapi.staticfiles import StaticFiles
+from nonebot import get_app, get_driver
+from nonebot.log import logger
+from nonebot_plugin_localstore import get_cache_dir  # type: ignore[import-untyped]
+from pydantic import IPvAnyAddress
+
+from .templates import templates_dir
+
+app = get_app()
+
+driver = get_driver()
+
+global_config = driver.config
+
+cache_dir = get_cache_dir('nonebot_plugin_tetris_stats')
+
+if not isinstance(app, FastAPI):
+    raise RuntimeError('本插件需要 FastAPI 驱动器才能运行')  # noqa: TRY004
+
+NOT_FOUND = HTMLResponse('404 Not Found', status_code=status.HTTP_404_NOT_FOUND)
+
+
+class HostPage:
+    pages: ClassVar[dict[str, str]] = {}
+
+    def __init__(self, page: str) -> None:
+        self.page_hash = sha256(page.encode()).hexdigest()
+        self.pages[self.page_hash] = page
+
+    async def __aenter__(self) -> str:
+        return self.page_hash
+
+    async def __aexit__(self, exc_type, exc, tb) -> None:  # noqa: ANN001
+        self.pages.pop(self.page_hash, None)
+
+
+@driver.on_startup
+def _():
+    app.mount(
+        '/host/assets',
+        StaticFiles(directory=templates_dir / 'assets'),
+        name='assets',
+    )
+    logger.success('assets mounted')
+
+
+@app.get('/host/{page_hash}.html', status_code=status.HTTP_200_OK)
+async def _(page_hash: str) -> HTMLResponse:
+    if page_hash in HostPage.pages:
+        return HTMLResponse(HostPage.pages[page_hash])
+    return NOT_FOUND
+
+
+def get_self_netloc() -> str:
+    host: IPv4Address | IPv6Address | IPvAnyAddress = global_config.host
+    if isinstance(host, IPv4Address):
+        if host == IPv4Address('0.0.0.0'):  # noqa: S104
+            host = IPv4Address('127.0.0.1')
+        netloc = f'{host}:{global_config.port}'
+    else:
+        if host == IPv6Address('::'):
+            host = IPv6Address('::1')
+        netloc = f'[{host}]:{global_config.port}'
+    return netloc

nonebot_plugin_tetris_stats/utils/metrics.py

@@ -0,0 +1,322 @@
+from typing import overload
+
+from .typing import Number
+
+
+class TetrisMetricsBaseWithPPS:
+    def __init__(self, pps: Number, precision: int) -> None:
+        self._pps = pps
+        self.precision = precision
+
+    @property
+    def _lpm(self) -> Number:
+        return self._pps * 24
+
+    @property
+    def lpm(self) -> Number:
+        return round(self._lpm, self.precision)
+
+    @property
+    def pps(self) -> Number:
+        return round(self._pps, self.precision)
+
+
+class TetrisMetricsBaseWithLPM:
+    def __init__(self, lpm: Number, precision: int) -> None:
+        self._lpm = lpm
+        self.precision = precision
+
+    @property
+    def lpm(self) -> Number:
+        return round(self._lpm, self.precision)
+
+    @property
+    def _pps(self) -> Number:
+        return self._lpm / 24
+
+    @property
+    def pps(self) -> Number:
+        return round(self._pps, self.precision)
+
+
+class TetrisMetricsBaseWithVS:
+    def __init__(self, vs: Number, precision: int) -> None:
+        self._vs = vs
+        self.precision = precision
+
+    @property
+    def vs(self) -> Number:
+        return round(self._vs, self.precision)
+
+    @property
+    def _adpm(self) -> Number:
+        return self._vs * 0.6
+
+    @property
+    def adpm(self) -> Number:
+        return round(self._adpm, self.precision)
+
+
+class TetrisMetricsBaseWithADPM:
+    def __init__(self, adpm: Number, precision: int) -> None:
+        self._adpm = adpm
+        self.precision = precision
+
+    @property
+    def _vs(self) -> Number:
+        return self._adpm / 0.6
+
+    @property
+    def vs(self) -> Number:
+        return round(self._vs, self.precision)
+
+    @property
+    def adpm(self) -> Number:
+        return round(self._adpm, self.precision)
+
+
+class TetrisMetricsBasicWithPPS(TetrisMetricsBaseWithPPS):
+    def __init__(self, pps: Number, apm: Number, precision: int) -> None:
+        super().__init__(pps=pps, precision=precision)
+        self._apm = apm
+
+    @property
+    def apm(self) -> Number:
+        return round(self._apm, self.precision)
+
+    @property
+    def apl(self) -> Number:
+        return round(self._apm / self._lpm, self.precision)
+
+
+class TetrisMetricsBasicWithLPM(TetrisMetricsBaseWithLPM):
+    def __init__(self, lpm: Number, apm: Number, precision: int):
+        super().__init__(lpm=lpm, precision=precision)
+        self._apm = apm
+
+    @property
+    def apm(self) -> Number:
+        return round(self._apm, self.precision)
+
+    @property
+    def apl(self) -> Number:
+        return round(self._apm / self._lpm, self.precision)
+
+
+class TetrisMetricsProWithPPSVS(TetrisMetricsBasicWithPPS, TetrisMetricsBaseWithVS):
+    def __init__(self, pps: Number, apm: Number, vs: Number, precision: int) -> None:
+        super().__init__(pps=pps, apm=apm, precision=precision)
+        super(TetrisMetricsBaseWithPPS, self).__init__(vs=vs, precision=precision)
+
+    @property
+    def adpl(self) -> Number:
+        return round(self._adpm / self._lpm, self.precision)
+
+
+class TetrisMetricsProWithPPSADPM(TetrisMetricsBasicWithPPS, TetrisMetricsBaseWithADPM):
+    def __init__(self, pps: Number, apm: Number, adpm: Number, precision: int) -> None:
+        super().__init__(pps=pps, apm=apm, precision=precision)
+        super(TetrisMetricsBaseWithPPS, self).__init__(adpm=adpm, precision=precision)
+
+    @property
+    def adpl(self) -> Number:
+        return round(self._adpm / self._lpm, self.precision)
+
+
+class TetrisMetricsProWithLPMVS(TetrisMetricsBasicWithLPM, TetrisMetricsBaseWithVS):
+    def __init__(self, lpm: Number, apm: Number, vs: Number, precision: int) -> None:
+        super().__init__(lpm=lpm, apm=apm, precision=precision)
+        super(TetrisMetricsBaseWithLPM, self).__init__(vs=vs, precision=precision)
+
+    @property
+    def adpl(self) -> Number:
+        return round(self._adpm / self._lpm, self.precision)
+
+
+class TetrisMetricsProWithLPMADPM(TetrisMetricsBasicWithLPM, TetrisMetricsBaseWithADPM):
+    def __init__(self, lpm: Number, apm: Number, adpm: Number, precision: int) -> None:
+        super().__init__(lpm=lpm, apm=apm, precision=precision)
+        super(TetrisMetricsBaseWithLPM, self).__init__(adpm=adpm, precision=precision)
+
+    @property
+    def adpl(self) -> Number:
+        return round(self._adpm / self._lpm, self.precision)
+
+
+@overload
+def get_metrics(
+    *,
+    pps: Number,
+    lpm: None = None,
+    apm: None = None,
+    vs: None = None,
+    adpm: None = None,
+    precision: int = 2,
+) -> TetrisMetricsBaseWithPPS:
+    ...
+
+
+@overload
+def get_metrics(
+    *,
+    pps: None = None,
+    lpm: Number,
+    apm: None = None,
+    vs: None = None,
+    adpm: None = None,
+    precision: int = 2,
+) -> TetrisMetricsBaseWithLPM:
+    ...
+
+
+@overload
+def get_metrics(
+    *,
+    pps: None = None,
+    lpm: None = None,
+    apm: None = None,
+    vs: Number,
+    adpm: None = None,
+    precision: int = 2,
+) -> TetrisMetricsBaseWithVS:
+    ...
+
+
+@overload
+def get_metrics(
+    *,
+    pps: None = None,
+    lpm: None = None,
+    apm: None = None,
+    vs: None = None,
+    adpm: Number,
+    precision: int = 2,
+) -> TetrisMetricsBaseWithADPM:
+    ...
+
+
+@overload
+def get_metrics(
+    *,
+    pps: Number,
+    lpm: None = None,
+    apm: Number,
+    vs: None = None,
+    adpm: None = None,
+    precision: int = 2,
+) -> TetrisMetricsBasicWithPPS:
+    ...
+
+
+@overload
+def get_metrics(
+    *,
+    pps: None = None,
+    lpm: Number,
+    apm: Number,
+    vs: None = None,
+    adpm: None = None,
+    precision: int = 2,
+) -> TetrisMetricsBasicWithLPM:
+    ...
+
+
+@overload
+def get_metrics(
+    *,
+    pps: Number,
+    lpm: None = None,
+    apm: Number,
+    vs: Number,
+    adpm: None = None,
+    precision: int = 2,
+) -> TetrisMetricsProWithPPSVS:
+    ...
+
+
+@overload
+def get_metrics(
+    *,
+    pps: Number,
+    lpm: None = None,
+    apm: Number,
+    vs: None = None,
+    adpm: Number,
+    precision: int = 2,
+) -> TetrisMetricsProWithPPSADPM:
+    ...
+
+
+@overload
+def get_metrics(
+    *,
+    pps: None = None,
+    lpm: Number,
+    apm: Number,
+    vs: Number,
+    adpm: None = None,
+    precision: int = 2,
+) -> TetrisMetricsProWithLPMVS:
+    ...
+
+
+@overload
+def get_metrics(
+    *,
+    pps: None = None,
+    lpm: Number,
+    apm: Number,
+    vs: None = None,
+    adpm: Number,
+    precision: int = 2,
+) -> TetrisMetricsProWithLPMADPM:
+    ...
+
+
+def get_metrics(  # noqa: PLR0911, PLR0912, PLR0913
+    *,
+    pps: Number | None = None,
+    lpm: Number | None = None,
+    apm: Number | None = None,
+    vs: Number | None = None,
+    adpm: Number | None = None,
+    precision: int = 2,
+) -> (
+    TetrisMetricsBaseWithPPS
+    | TetrisMetricsBaseWithLPM
+    | TetrisMetricsBaseWithVS
+    | TetrisMetricsBaseWithADPM
+    | TetrisMetricsBasicWithPPS
+    | TetrisMetricsBasicWithLPM
+    | TetrisMetricsProWithPPSVS
+    | TetrisMetricsProWithLPMVS
+    | TetrisMetricsProWithPPSADPM
+    | TetrisMetricsProWithLPMADPM
+):
+    if apm is None:
+        if pps is not None:
+            return TetrisMetricsBaseWithPPS(pps, precision=precision)
+        if lpm is not None:
+            return TetrisMetricsBaseWithLPM(lpm, precision=precision)
+        if vs is not None:
+            return TetrisMetricsBaseWithVS(vs, precision=precision)
+        if adpm is not None:
+            return TetrisMetricsBaseWithADPM(adpm, precision=precision)
+    elif vs is None and adpm is None:
+        if pps is not None:
+            return TetrisMetricsBasicWithPPS(pps, apm, precision=precision)
+        if lpm is not None:
+            return TetrisMetricsBasicWithLPM(lpm, apm, precision=precision)
+    else:
+        if vs is not None:
+            if pps is not None:
+                return TetrisMetricsProWithPPSVS(pps, apm, vs, precision=precision)
+            if lpm is not None:
+                return TetrisMetricsProWithLPMVS(lpm, apm, vs, precision=precision)
+        if adpm is not None:
+            if pps is not None:
+                return TetrisMetricsProWithPPSADPM(pps, apm, adpm, precision=precision)
+            if lpm is not None:
+                return TetrisMetricsProWithLPMADPM(lpm, apm, adpm, precision=precision)
+
+    raise TypeError

nonebot_plugin_tetris_stats/utils/platform.py

@@ -0,0 +1,19 @@
+from nonebot.adapters import Bot
+
+
+def get_platform(bot: Bot) -> str:
+    try:
+        from nonebot.adapters.onebot.v12 import Bot as OB12Bot
+
+        if isinstance(bot, OB12Bot):
+            return bot.platform
+    except ImportError:
+        pass
+    try:
+        from nonebot.adapters.satori import Bot as SaBot
+
+        if isinstance(bot, SaBot):
+            return bot.platform
+    except ImportError:
+        pass
+    return bot.type

nonebot_plugin_tetris_stats/utils/recorder.py

@@ -0,0 +1,94 @@
+from datetime import datetime, timezone
+from typing import ClassVar
+
+from nonebot import get_driver, get_plugin
+from nonebot.adapters import Bot, Event
+from nonebot.matcher import Matcher
+from nonebot.message import run_postprocessor, run_preprocessor
+from nonebot_plugin_orm import get_session
+
+from ..db.models import HistoricalData
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+
+class Recorder:
+    matchers: ClassVar[set[type[Matcher]]] = set()
+    historical_data: ClassVar[dict[int, tuple[HistoricalData, bool]]] = {}
+    error_event: ClassVar[set[int]] = set()
+
+    @classmethod
+    def create_historical_data(cls, event_id: int, historical_data: HistoricalData) -> None:
+        cls.historical_data[event_id] = (historical_data, False)
+
+    @classmethod
+    def update_historical_data(cls, event_id: int, historical_data: HistoricalData) -> None:
+        if event_id not in cls.historical_data:
+            raise KeyError
+        cls.historical_data[event_id] = (historical_data, True)
+
+    @classmethod
+    def get_historical_data(cls, event_id: int) -> HistoricalData:
+        return cls.historical_data[event_id][0]
+
+    @classmethod
+    async def save_historical_data(cls, event_id: int) -> None:
+        historical_data, completed = cls.del_historical_data(event_id)
+        if completed:
+            async with get_session() as session:
+                session.add(historical_data)
+                await session.commit()
+
+    @classmethod
+    def del_historical_data(cls, event_id: int) -> tuple[HistoricalData, bool]:
+        return cls.historical_data.pop(event_id)
+
+    @classmethod
+    def add_error_event(cls, event_id: int) -> None:
+        cls.error_event.add(event_id)
+
+    @classmethod
+    def del_error_event(cls, event_id: int) -> None:
+        cls.error_event.remove(event_id)
+
+    @classmethod
+    def is_error_event(cls, event_id: int) -> bool:
+        return event_id in cls.error_event
+
+
+@driver.on_startup
+def _():
+    plugin = get_plugin('nonebot_plugin_tetris_stats')
+    if plugin is not None:
+        Recorder.matchers = plugin.matcher
+    else:
+        raise RuntimeError('获取不到自身插件对象')
+
+
+@run_preprocessor
+def _(bot: Bot, event: Event, matcher: Matcher):
+    if isinstance(matcher, tuple(Recorder.matchers)):
+        Recorder.create_historical_data(
+            event_id=id(event),
+            historical_data=HistoricalData(
+                trigger_time=datetime.now(tz=UTC),
+                bot_platform=bot.type,
+                bot_account=bot.self_id,
+                source_type=event.get_type(),
+                source_account=event.get_session_id(),
+                message=event.get_message(),
+            ),
+        )
+
+
+@run_postprocessor
+async def _(event: Event, matcher: Matcher, exception: Exception | None):
+    if isinstance(matcher, tuple(Recorder.matchers)):
+        event_id = id(event)
+        if exception is not None:
+            Recorder.add_error_event(event_id)
+            Recorder.del_historical_data(event_id)
+        else:
+            await Recorder.save_historical_data(event_id)

nonebot_plugin_tetris_stats/utils/render.py

@@ -0,0 +1,104 @@
+from datetime import datetime
+from typing import Annotated, ClassVar, Literal, overload
+
+from jinja2 import Environment, FileSystemLoader
+from nonebot.compat import PYDANTIC_V2
+from pydantic import BaseModel
+
+from ..game_data_processor.io_data_processor.typing import Rank
+from .templates import templates_dir
+from .typing import Number
+
+if PYDANTIC_V2:
+    from pydantic import PlainSerializer
+
+env = Environment(
+    loader=FileSystemLoader(templates_dir), autoescape=True, trim_blocks=True, lstrip_blocks=True, enable_async=True
+)
+
+
+def format_datetime_to_timestamp(dt: datetime) -> int:
+    return int(dt.timestamp() * 1000)
+
+
+class Bind(BaseModel):
+    class People(BaseModel):
+        avatar: str
+        name: str
+
+    platform: Literal['TETR.IO', 'TOP', 'TOS']
+    status: Literal['error', 'success', 'unknown', 'unlink', 'unverified']
+    user: People
+    bot: People
+    command: str
+
+
+class TETRIOInfo(BaseModel):
+    class User(BaseModel):
+        avatar: str
+        name: str
+        bio: str | None
+
+    class Ranking(BaseModel):
+        rating: Number
+        rd: Number
+
+    class TetraLeague(BaseModel):
+        rank: Rank
+        tr: Number
+        global_rank: Number
+        pps: Number
+        lpm: Number
+        apm: Number
+        apl: Number
+        vs: Number
+        adpm: Number
+        adpl: Number
+
+    class TetraLeagueHistory(BaseModel):
+        class Data(BaseModel):
+            if PYDANTIC_V2:
+                record_at: Annotated[datetime, PlainSerializer(format_datetime_to_timestamp, return_type=int)]
+            else:
+                record_at: datetime  # type: ignore[no-redef]
+            tr: Number
+
+        data: list[Data]
+        split_interval: Number
+        min_tr: Number
+        max_tr: Number
+        offset: Number
+
+    class Radar(BaseModel):
+        app: Number
+        dsps: Number
+        dspp: Number
+        ci: Number
+        ge: Number
+
+    user: User
+    ranking: Ranking
+    tetra_league: TetraLeague
+    tetra_league_history: TetraLeagueHistory
+    radar: Radar
+    sprint: str
+    blitz: str
+
+    if not PYDANTIC_V2:
+
+        class Config:
+            json_encoders: ClassVar[dict] = {datetime: format_datetime_to_timestamp}
+
+
+@overload
+async def render(render_type: Literal['binding'], data: Bind) -> str: ...
+
+
+@overload
+async def render(render_type: Literal['tetrio/info'], data: TETRIOInfo) -> str: ...
+
+
+async def render(render_type: Literal['binding', 'tetrio/info'], data: Bind | TETRIOInfo) -> str:
+    if PYDANTIC_V2:
+        return await env.get_template('index.html').render_async(path=render_type, data=data.model_dump_json())
+    return await env.get_template('index.html').render_async(path=render_type, data=data.json())

nonebot_plugin_tetris_stats/utils/request.py

@@ -0,0 +1,165 @@
+from collections.abc import Sequence
+from http import HTTPStatus
+from urllib.parse import urljoin, urlparse
+
+from aiofiles import open
+from httpx import AsyncClient, HTTPError
+from nonebot import get_driver, get_plugin_config
+from nonebot.log import logger
+from playwright.async_api import Response
+from ujson import JSONDecodeError, dumps, loads
+
+from ..config.config import CACHE_PATH, Config
+from .browser import BrowserManager
+from .exception import RequestError
+
+driver = get_driver()
+config = get_plugin_config(Config)
+
+
+@driver.on_startup
+async def _():
+    await Request._init_cache()
+    await Request._read_cache()
+
+
+@driver.on_shutdown
+async def _():
+    await Request._write_cache()
+
+
+def splice_url(url_list: list[str]) -> str:
+    url = ''
+    if len(url_list):
+        url = url_list.pop(0)
+        for i in url_list:
+            url = urljoin(url, i)
+    return url
+
+
+class Request:
+    """网络请求相关类"""
+
+    _CACHE_FILE = CACHE_PATH / 'cloudflare_cache.json'
+    _headers: dict | None = None
+    _cookies: dict | None = None
+
+    @classmethod
+    async def _anti_cloudflare(cls, url: str) -> bytes:
+        """用firefox硬穿五秒盾"""
+        browser = await BrowserManager.get_browser()
+        async with await browser.new_context() as context, await context.new_page() as page:
+            response = await page.goto(url)
+            attempts = 0
+            while attempts < 60:  # noqa: PLR2004
+                attempts += 1
+                text = await page.locator('body').text_content()
+                if text is None:
+                    await page.wait_for_timeout(1000)
+                    continue
+                if await page.title() == 'Please Wait... | Cloudflare':
+                    logger.warning('疑似触发了 Cloudflare 的验证码')
+                    break
+                try:
+                    loads(text)
+                except JSONDecodeError:
+                    await page.wait_for_timeout(1000)
+                else:
+                    if not isinstance(response, Response):
+                        raise RequestError('api请求失败')
+                    cls._headers = await response.request.all_headers()
+                    try:
+                        cls._cookies = {
+                            name: value
+                            for i in await context.cookies()
+                            if (name := i.get('name')) is not None and (value := i.get('value')) is not None
+                        }
+                    except KeyError:
+                        cls._cookies = None
+                    return await response.body()
+        raise RequestError('绕过五秒盾失败')
+
+    @classmethod
+    async def _init_cache(cls) -> None:
+        """初始化缓存文件"""
+        if not cls._CACHE_FILE.exists():
+            async with open(file=cls._CACHE_FILE, mode='w', encoding='UTF-8') as file:
+                await file.write(dumps({'headers': cls._headers, 'cookies': cls._cookies}))
+
+    @classmethod
+    async def _read_cache(cls) -> None:
+        """读取缓存文件"""
+        try:
+            async with open(file=cls._CACHE_FILE, mode='r', encoding='UTF-8') as file:
+                json = loads(await file.read())
+        except FileNotFoundError:
+            await cls._init_cache()
+        except (PermissionError, JSONDecodeError):
+            cls._CACHE_FILE.unlink()
+            await cls._init_cache()
+        else:
+            cls._headers = json['headers']
+            cls._cookies = json['cookies']
+
+    @classmethod
+    async def _write_cache(cls) -> None:
+        """写入缓存文件"""
+        try:
+            async with open(file=cls._CACHE_FILE, mode='r+', encoding='UTF-8') as file:
+                await file.write(dumps({'headers': cls._headers, 'cookies': cls._cookies}))
+        except FileNotFoundError:
+            await cls._init_cache()
+        except (PermissionError, JSONDecodeError):
+            cls._CACHE_FILE.unlink()
+            await cls._init_cache()
+
+    @classmethod
+    async def request(cls, url: str, *, is_json: bool = True) -> bytes:
+        """请求api"""
+        try:
+            async with AsyncClient(cookies=cls._cookies, timeout=config.tetris_req_timeout) as session:
+                response = await session.get(url, headers=cls._headers)
+                if response.status_code != HTTPStatus.OK:
+                    raise RequestError(
+                        f'请求错误 code: {response.status_code} {HTTPStatus(response.status_code).phrase}\n{response.text}',
+                        status_code=response.status_code,
+                    )
+                if is_json:
+                    loads(response.content)
+                return response.content
+        except HTTPError as e:
+            raise RequestError(f'请求错误 \n{e!r}') from e
+        except JSONDecodeError:
+            if urlparse(url).netloc.lower().endswith('tetr.io'):
+                return await cls._anti_cloudflare(url)
+            raise
+
+    @classmethod
+    async def failover_request(
+        cls,
+        urls: Sequence[str],
+        *,
+        failover_code: Sequence[int],
+        failover_exc: tuple[type[BaseException], ...],
+        is_json: bool = True,
+    ) -> bytes:
+        error_list: list[RequestError] = []
+        for i in urls:
+            logger.debug(f'尝试请求 {i}')
+            try:
+                return await cls.request(i, is_json=is_json)
+            except RequestError as e:
+                if e.status_code in failover_code:  # 如果状态码在 failover_code 中, 则继续尝试下一个URL
+                    error_list.append(e)
+                    continue
+                # 如果状态码不在故障转移列表中, 则查找异常栈, 如果异常栈内有 failover_exc 内的异常类型, 则继续尝试下一个URL
+                tb = e.__traceback__
+                while tb is not None:
+                    if isinstance(tb.tb_frame.f_locals.get('exc_value'), failover_exc):
+                        error_list.append(e)
+                        break
+                    tb = tb.tb_next
+                else:
+                    raise
+                continue
+        raise RequestError(f'所有地址皆不可用\n{error_list!r}')

nonebot_plugin_tetris_stats/utils/retry.py

@@ -0,0 +1,37 @@
+from asyncio import sleep
+from collections.abc import Awaitable, Callable
+from datetime import timedelta
+from functools import wraps
+from typing import TypeVar, cast
+
+from nonebot.log import logger
+
+T = TypeVar('T')
+
+
+def retry(
+    max_attempts: int = 3,
+    exception_type: type[BaseException] | tuple[type[BaseException], ...] = Exception,
+    delay: timedelta | None = None,
+) -> Callable[[Callable[..., Awaitable[T]]], Callable[..., Awaitable[T]]]:
+    def decorator(func: Callable[..., Awaitable[T]]) -> Callable[..., Awaitable[T]]:
+        @wraps(func)
+        async def wrapper(*args, **kwargs) -> T:  # noqa: ANN002, ANN003
+            attempts = 0
+            while attempts < max_attempts + 1:
+                try:
+                    return await func(*args, **kwargs)
+                except exception_type as e:  # noqa: PERF203
+                    logger.exception(e)
+                    attempts += 1
+                    if attempts <= max_attempts:
+                        if delay is not None:
+                            await sleep(delay.total_seconds())
+                        logger.debug(f'Retrying: {func.__name__} ({attempts}/{max_attempts})')
+                        continue
+                    raise
+            raise RuntimeError('Unexpectedly reached the end of the retry loop')
+
+        return cast(Callable[..., Awaitable[T]], wrapper)
+
+    return decorator

nonebot_plugin_tetris_stats/utils/screenshot.py

@@ -0,0 +1,11 @@
+from .browser import BrowserManager
+
+
+async def screenshot(url: str) -> bytes:
+    browser = await BrowserManager.get_browser()
+    async with (
+        await browser.new_page(no_viewport=True, viewport={'width': 0, 'height': 0}) as page,
+    ):
+        await page.goto(url)
+        await page.wait_for_load_state('networkidle')
+        return await page.screenshot(full_page=True, type='png')

nonebot_plugin_tetris_stats/utils/templates.py

@@ -0,0 +1,60 @@
+from asyncio.subprocess import PIPE, create_subprocess_exec
+from shutil import rmtree
+
+from nonebot import get_driver
+from nonebot.log import logger
+from nonebot_plugin_localstore import get_data_dir  # type: ignore[import-untyped]
+
+driver = get_driver()
+
+templates_dir = get_data_dir('nonebot_plugin_tetris_stats') / 'templates'
+
+
+@driver.on_startup
+async def init_templates() -> None:
+    try:
+        await create_subprocess_exec('git', '--version', stdout=PIPE)
+    except FileNotFoundError as e:
+        raise RuntimeError(
+            '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'
+        ) 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)
+            raise RuntimeError('初始化模板仓库失败')
+        logger.success('模板仓库初始化成功')
+        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)
+        raise RuntimeError('更新模板仓库失败')
+    logger.success('模板仓库更新成功')

nonebot_plugin_tetris_stats/utils/typing.py

@@ -0,0 +1,61 @@
+from collections.abc import Awaitable, Callable
+from typing import Any, Literal
+
+Number = float | int
+GameType = Literal['IO', 'TOP', 'TOS']
+CommandType = Literal['bind', 'query']
+AsyncCallable = Callable[..., Awaitable[Any]]
+Me = Literal[
+    '我',
+    '自己',
+    '我等',
+    '卑人',
+    '愚',
+    '老身',
+    '爷',
+    '老娘',
+    '本姑娘',
+    '本大爷',
+    '鄙人',
+    '寡人',
+    '小生',
+    '贫僧',
+    '本人',
+    '孤',
+    '吾',
+    '俺',
+    '咱',
+    '私',
+    'me',
+    '洒家',
+    '在下',
+    '偶',
+    '人家',
+    '本小姐',
+    '老夫',
+    '老子',
+    '朕',
+    '本尊',
+    '僕',
+    '拙者',
+    '妾',
+    '儂',
+    '自分',
+    '吾輩',
+    '我輩',
+    '某',
+    '己等',
+    '俺等',
+    '此方',
+    '哥',
+    '姐',
+    '劳资',
+    '本宝宝',
+    '余',
+    '本喵',
+    'watashi',
+    'i',
+    'myself',
+    'self',
+    'oneself',
+]

nonebot_plugin_tetris_stats/version.py

@@ -0,0 +1,3 @@
+from importlib.metadata import version
+
+__version__ = version('nonebot_plugin_tetris_stats')

pyproject.toml

@@ -1,23 +1,110 @@
 [tool.poetry]
-name = "nonebot-plugin-tetris-stats"
-version = "0.1.0"
-description = "一个基于nonebot2的用于查询TETRIS相关游戏玩家数据的插件"
-authors = ["scdhh <wallfjjd@gmail.com>"]
-readme = "README.md"
-homepage = "https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats"
-repository = "https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats"
-license = "MIT"
+name = 'nonebot-plugin-tetris-stats'
+version = '1.1.1'
+description = '一款基于 NoneBot2 的用于查询 Tetris 相关游戏数据的插件'
+authors = ['scdhh <wallfjjd@gmail.com>']
+readme = 'README.md'
+homepage = 'https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats'
+repository = 'https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats'
+license = 'AGPL-3.0'
 
 [tool.poetry.dependencies]
-python = "^3.10"
-nb-cli = "^0.6.7"
-nonebot-adapter-onebot = "^2.0.0-beta.1"
-aiohttp = "^3.8.1"
-asyncio = "^3.4.3"
+python = '^3.10'
+nonebot2 = { extras = ["fastapi"], version = "^2.3.0" }
+lxml = '^5.1.0'
+pandas = '>=1.4.3,<3.0.0'
+playwright = '^1.41.2'
+ujson = '^5.9.0'
+aiofiles = "^23.2.1"
+nonebot-plugin-orm = ">=0.1.1,<0.8.0"
+nonebot-plugin-localstore = "^0.6.0"
+httpx = "^0.27.0"
+nonebot-plugin-alconna = ">=0.40"
+nonebot-plugin-apscheduler = "^0.4.0"
+aiocache = "^0.12.2"
+zstandard = "^0.22.0"
+jinja2 = "^3.1.3"
+nonebot-plugin-userinfo = "^0.2.4"
+pillow = "^10.3.0"
+rich = "^13.7.1"
 
-[tool.poetry.dev-dependencies]
-mypy = "^0.950"
+[tool.poetry.group.dev.dependencies]
+mypy = '>=1.9'
+types-ujson = '^5.9.0'
+pandas-stubs = '>=1.5.2,<3.0.0'
+ruff = '>=0.3.0'
+types-aiofiles = "^23.2.0.20240106"
+types-lxml = "^2024.2.9"
+nonebot-plugin-orm = { extras = ["default"], version = ">=0.3,<0.8" }
+nonebot-adapter-onebot = "^2.4.1"
+nonebot-adapter-satori = "^0.11.4"
+nonebot-adapter-kaiheila = "^0.3.4"
+nonebot-adapter-discord = "^0.1.3"
+types-pillow = "^10.2.0.20240423"
+
+[tool.poetry.group.debug.dependencies]
+objprint = '^0.2.2'
+viztracer = "^0.16.2"
 
 [build-system]
-requires = ["poetry-core>=1.0.0"]
-build-backend = "poetry.core.masonry.api"
+requires = ['poetry-core>=1.0.0']
+build-backend = 'poetry.core.masonry.api'
+
+[tool.ruff]
+line-length = 120
+target-version = "py310"
+
+[tool.ruff.lint]
+select = [
+    'F',     # pyflakes
+    'E',     # pycodestyle errors
+    'W',     # pycodestyle warnings
+    'I',     # isort
+    'N',     # PEP8-naming
+    'UP',    # pyupgrade
+    'YTT',   # flake8-2020
+    'ANN',   # flake8-annotations
+    'ASYNC', # flake8-async
+    'S',     # flake8-bandit
+    'BLE',   # flake8-blind-except
+    'FBT',   # flake8-boolean-trap
+    'B',     # flake8-bugbear
+    'A',     # flake8-builtins
+    'C4',    # flake8-comprehensions
+    'DTZ',   # flake8-datetimez
+    'FA',    # flake8-future-annotations
+    'ISC',   # flake8-implicit-str-concat
+    'PIE',   # flake8-pie
+    'T20',   # flake8-print
+    'Q',     # flake8-quotes
+    'RSE',   # flake8-raise
+    'RET',   # flake8-return
+    'SIM',   # flake8-simplify
+    'PTH',   # flake8-use-pathlib
+    'PD',    # pandas-vet
+    'PL',    # pylint
+    'TRY',   # tryceratops
+    'FLY',   # flynt
+    'PERF',  # Perflint
+    'RUF',   # Ruff-specific rules
+]
+ignore = [
+    'E501',   # 过长的行由 ruff format 处理, 剩余的都是字符串
+    'ANN101', # 由 type checker 自动推断
+    'ANN102', # 由 type checker 自动推断
+    'ANN202', # 向 NoneBot 注册的函数
+    'TRY003',
+]
+flake8-quotes = { inline-quotes = 'single', multiline-quotes = 'double' }
+
+[tool.ruff.lint.flake8-annotations]
+mypy-init-return = true
+
+[tool.ruff.lint.flake8-builtins]
+builtins-ignorelist = ["id"]
+
+[tool.ruff.format]
+quote-style = 'single'
+
+[tool.nonebot]
+plugins = ['nonebot_plugin_tetris_stats']