🔖 1.12.0

* ✨ 适配 v1 tetrio 的 Trending

* 🗃️ 添加 compare_delta 配置项

* 🗃️ 添加 TETRIOLeagueUserMap 索引表

* ✨ 添加对比时间配置项

* ✨ 添加 compare_delta 解析函数

* ✨ 添加 Trending 类的 compare 方法

* 🗃️ 移除不正确的复合索引

* ✨ 定时任务拉取tl数据时同步更新索引

* ✨ 适配 trending

* 🐛 修复 find_entry 在无 uid 时的索引返回逻辑

* 📝 修正 compare_delta 迁移父迁移注释

* 🗃️ 为非 PostgreSQL 回填迁移补充外键约束

* 🔒 迁移中使用参数绑定设置 PG 内存参数

* ✨ 修正 Trends 的 vs 为 adpm

* 🐛 修正获取玩家 ID 的范围

.github/dependabot.yml

@@ -1,12 +0,0 @@
-# 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

@@ -3,7 +3,7 @@ name: Release CI
 on:
   push:
     tags:
-      - "*"
+      - '*'
 
 jobs:
   release:
@@ -12,24 +12,25 @@ jobs:
       id-token: write
       contents: write
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v6
 
-      - name: Install poetry
-        run: pipx install poetry
-        shell: bash
-
-      - uses: actions/setup-python@v4
+      - uses: astral-sh/setup-uv@v7
+        name: Setup UV
         with:
-          python-version: '3.11'
-          cache: "poetry"
+          enable-cache: true
 
-      - run: poetry install
+      - name: 'Set up Python'
+        uses: actions/setup-python@v6
+        with:
+          python-version-file: '.python-version'
+
+      - run: uv sync
         shell: bash
 
       - name: Get Version
         id: version
         run: |
-          echo "VERSION=$(poetry version -s)" >> $GITHUB_OUTPUT
+          echo "VERSION=$(uvx pdm show --version)" >> $GITHUB_OUTPUT
           echo "TAG_VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT
           echo "TAG_NAME=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT
 
@@ -38,10 +39,10 @@ jobs:
         run: exit 1
 
       - name: Build Package
-        run: poetry build
+        run: uv build
 
       - name: Publish Package to PyPI
-        uses: pypa/gh-action-pypi-publish@release/v1
+        run: uv publish
 
       - 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

.github/workflows/Test.yml

@@ -0,0 +1,57 @@
+name: Code Coverage
+
+on:
+  push:
+    branches:
+      - "main"
+  pull_request:
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  test:
+    name: Test
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
+        os: [ubuntu-latest, windows-latest, macos-latest]
+      fail-fast: false
+    env:
+      OS: ${{ matrix.os }}
+      PYTHON_VERSION: ${{ matrix.python-version }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup uv
+        uses: astral-sh/setup-uv@v7
+        with:
+          enable-cache: true
+          cache-suffix: ${{ env.PYTHON_VERSION }}_${{ env.OS }}
+
+      - name: Install Dependencies
+        run: |
+          uv python pin ${{ env.PYTHON_VERSION }}
+          uv sync --group test
+
+      - name: Run tests
+        run: uv run pytest --cov=nonebot_plugin_tetris_stats --cov-report xml
+
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v5
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+          env_vars: OS,PYTHON_VERSION
+
+  check:
+    if: always()
+    needs: test
+    runs-on: ubuntu-latest
+    steps:
+      - name: Decide whether the needed jobs succeeded or failed
+        uses: re-actors/alls-green@a638d6464689bbb24c325bb3fe9404d63a913030
+        with:
+          jobs: ${{ toJSON(needs) }}

.github/workflows/TypeCheck.yml

@@ -0,0 +1,33 @@
+name: TypeCheck
+
+on:
+  push:
+
+jobs:
+  TypeCheck:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v6
+
+      - uses: astral-sh/setup-uv@v7
+        name: Setup UV
+        with:
+          enable-cache: true
+
+      - name: 'Set up Python'
+        uses: actions/setup-python@v6
+        with:
+          python-version-file: '.python-version'
+
+      - run: uv sync
+        shell: bash
+
+      - name: Run Mypy
+        shell: bash
+        run: |
+          uv run mypy ./nonebot_plugin_tetris_stats
+
+      - name: Run BasedPyright
+        shell: bash
+        run: |
+          uv run basedpyright ./nonebot_plugin_tetris_stats/

.github/workflows/codeql-analysis.yml

@@ -9,14 +9,14 @@
 # the `language` matrix defined below to confirm you have the correct set of
 # supported CodeQL languages.
 #
-name: "CodeQL"
+name: 'CodeQL'
 
 on:
   push:
-    branches: [ main ]
+    branches: [main]
   pull_request:
     # The branches below must be a subset of the branches above
-    branches: [ main ]
+    branches: [main]
   schedule:
     - cron: '17 6 * * 5'
 
@@ -32,41 +32,40 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        language: [ 'python' ]
+        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
+      - name: Checkout repository
+        uses: actions/checkout@v6
 
-    # 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
+      # Initializes the CodeQL tools for scanning.
+      - name: Initialize CodeQL
+        uses: github/codeql-action/init@v4
+        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.
 
-        
-    # 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
+          # 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
 
-    # 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
+      # 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@v4
 
-    #   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.
+      # 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
 
-    # - run: |
-    #   echo "Run, Build Application using script"
-    #   ./location_of_script_within_repo/buildscript.sh
+      #   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.
 
-    - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v2
+      # - run: |
+      #   echo "Run, Build Application using script"
+      #   ./location_of_script_within_repo/buildscript.sh
+
+      - name: Perform CodeQL Analysis
+        uses: github/codeql-action/analyze@v4

.gitignore

@@ -1,22 +1,528 @@
-.idea
+# Created by https://www.toptal.com/developers/gitignore/api/linux,macos,python,pycharm,windows,visualstudiocode,node
+# Edit at https://www.toptal.com/developers/gitignore?templates=linux,macos,python,pycharm,windows,visualstudiocode,node
+
+### Linux ###
+*~
+
+# temporary files which can be created if a process still has a handle open of a deleted file
+.fuse_hidden*
+
+# KDE directory preferences
+.directory
+
+# Linux trash folder which might appear on any partition or disk
+.Trash-*
+
+# .nfs files are created when an open file is removed but is still being accessed
+.nfs*
+
+### macOS ###
+# General
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk
+
+### macOS Patch ###
+# iCloud generated files
+*.icloud
+
+### Node ###
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+lerna-debug.log*
+.pnpm-debug.log*
+
+# Diagnostic reports (https://nodejs.org/api/report.html)
+report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
+
+# Runtime data
+pids
+*.pid
+*.seed
+*.pid.lock
+
+# Directory for instrumented libs generated by jscoverage/JSCover
+lib-cov
+
+# Coverage directory used by tools like istanbul
+coverage
+*.lcov
+
+# nyc test coverage
+.nyc_output
+
+# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
+.grunt
+
+# Bower dependency directory (https://bower.io/)
+bower_components
+
+# node-waf configuration
+.lock-wscript
+
+# Compiled binary addons (https://nodejs.org/api/addons.html)
+build/Release
+
+# Dependency directories
+node_modules/
+jspm_packages/
+
+# Snowpack dependency directory (https://snowpack.dev/)
+web_modules/
+
+# TypeScript cache
+*.tsbuildinfo
+
+# Optional npm cache directory
+.npm
+
+# Optional eslint cache
+.eslintcache
+
+# Optional stylelint cache
+.stylelintcache
+
+# Microbundle cache
+.rpt2_cache/
+.rts2_cache_cjs/
+.rts2_cache_es/
+.rts2_cache_umd/
+
+# Optional REPL history
+.node_repl_history
+
+# Output of 'npm pack'
+*.tgz
+
+# Yarn Integrity file
+.yarn-integrity
+
+# dotenv environment variable files
+.env
+.env.development.local
+.env.test.local
+.env.production.local
+.env.local
+
+# parcel-bundler cache (https://parceljs.org/)
+.cache
+.parcel-cache
+
+# Next.js build output
+.next
+out
+
+# Nuxt.js build / generate output
+.nuxt
 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*
+
+# Gatsby files
+.cache/
+# Comment in the public line in if your project uses Gatsby and not Next.js
+# https://nextjs.org/blog/next-9-1#public-directory-support
+# public
+
+# vuepress build output
+.vuepress/dist
+
+# vuepress v2.x temp and cache directory
+.temp
+
+# Docusaurus cache and generated files
+.docusaurus
+
+# Serverless directories
+.serverless/
+
+# FuseBox cache
+.fusebox/
+
+# DynamoDB Local files
+.dynamodb/
+
+# TernJS port file
+.tern-port
+
+# Stores VSCode versions used for testing VSCode extensions
+.vscode-test
+
+# yarn v2
+.yarn/cache
+.yarn/unplugged
+.yarn/build-state.yml
+.yarn/install-state.gz
+.pnp.*
+
+### Node Patch ###
+# Serverless Webpack directories
+.webpack/
+
+# Optional stylelint cache
+
+# SvelteKit build / generate output
+.svelte-kit
+
+### PyCharm ###
+# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
+# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
+
+# User-specific stuff
+.idea/**/workspace.xml
+.idea/**/tasks.xml
+.idea/**/usage.statistics.xml
+.idea/**/dictionaries
+.idea/**/shelf
+
+# AWS User-specific
+.idea/**/aws.xml
+
+# Generated files
+.idea/**/contentModel.xml
+
+# Sensitive or high-churn files
+.idea/**/dataSources/
+.idea/**/dataSources.ids
+.idea/**/dataSources.local.xml
+.idea/**/sqlDataSources.xml
+.idea/**/dynamic.xml
+.idea/**/uiDesigner.xml
+.idea/**/dbnavigator.xml
+
+# Gradle
+.idea/**/gradle.xml
+.idea/**/libraries
+
+# Gradle and Maven with auto-import
+# When using Gradle or Maven with auto-import, you should exclude module files,
+# since they will be recreated, and may cause churn.  Uncomment if using
+# auto-import.
+# .idea/artifacts
+# .idea/compiler.xml
+# .idea/jarRepositories.xml
+# .idea/modules.xml
+# .idea/*.iml
+# .idea/modules
+# *.iml
+# *.ipr
+
+# CMake
+cmake-build-*/
+
+# Mongo Explorer plugin
+.idea/**/mongoSettings.xml
+
+# File-based project format
+*.iws
+
+# IntelliJ
+out/
+
+# mpeltonen/sbt-idea plugin
+.idea_modules/
+
+# JIRA plugin
+atlassian-ide-plugin.xml
+
+# Cursive Clojure plugin
+.idea/replstate.xml
+
+# SonarLint plugin
+.idea/sonarlint/
+
+# Crashlytics plugin (for Android Studio and IntelliJ)
+com_crashlytics_export_strings.xml
+crashlytics.properties
+crashlytics-build.properties
+fabric.properties
+
+# Editor-based Rest Client
+.idea/httpRequests
+
+# Android studio 3.1+ serialized cache file
+.idea/caches/build_file_checksums.ser
+
+### PyCharm Patch ###
+# Comment Reason: https://github.com/joeblau/gitignore.io/issues/186#issuecomment-215987721
+
+# *.iml
+# modules.xml
+# .idea/misc.xml
+# *.ipr
+
+# Sonarlint plugin
+# https://plugins.jetbrains.com/plugin/7973-sonarlint
+.idea/**/sonarlint/
+
+# SonarQube Plugin
+# https://plugins.jetbrains.com/plugin/7238-sonarqube-community-plugin
+.idea/**/sonarIssues.xml
+
+# Markdown Navigator plugin
+# https://plugins.jetbrains.com/plugin/7896-markdown-navigator-enhanced
+.idea/**/markdown-navigator.xml
+.idea/**/markdown-navigator-enh.xml
+.idea/**/markdown-navigator/
+
+# Cache file creation bug
+# See https://youtrack.jetbrains.com/issue/JBR-2257
+.idea/$CACHE_FILE$
+
+# CodeStream plugin
+# https://plugins.jetbrains.com/plugin/12206-codestream
+.idea/codestream.xml
+
+# Azure Toolkit for IntelliJ plugin
+# https://plugins.jetbrains.com/plugin/8053-azure-toolkit-for-intellij
+.idea/**/azureSettings.xml
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+### Python Patch ###
+# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
+poetry.toml
+
+# ruff
+.ruff_cache/
+
+# LSP config files
+pyrightconfig.json
+
+### VisualStudioCode ###
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+!.vscode/*.code-snippets
+
+# Local History for Visual Studio Code
+.history/
+
+# Built Visual Studio Code Extensions
+*.vsix
+
+### VisualStudioCode Patch ###
+# Ignore all local history of files
+.history
+.ionide
+
+### Windows ###
+# Windows thumbnail cache files
+Thumbs.db
+Thumbs.db:encryptable
+ehthumbs.db
+ehthumbs_vista.db
+
+# Dump file
+*.stackdump
+
+# Folder config file
+[Dd]esktop.ini
+
+# Recycle Bin used on file shares
+$RECYCLE.BIN/
+
+# Windows Installer files
+*.cab
+*.msi
+*.msix
+*.msm
+*.msp
+
+# Windows shortcuts
+*.lnk
+
+# End of https://www.toptal.com/developers/gitignore/api/linux,macos,python,pycharm,windows,visualstudiocode,node
+
+# NoneBot2
 bot.py
-TODO
-*.fish
-extracted_skin_mino_*
+.env*
+
+# Misc
+ignore_*
+*.backup
+TODO*

.pre-commit-config.yaml

@@ -0,0 +1,22 @@
+default_install_hook_types: [pre-commit, prepare-commit-msg]
+ci:
+  autofix_commit_msg: ':rotating_light: auto fix by pre-commit hooks'
+  autofix_prs: true
+  autoupdate_branch: main
+  autoupdate_schedule: weekly
+  autoupdate_commit_msg: ':arrow_up: auto update by pre-commit hooks'
+repos:
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.15.1
+    hooks:
+      - id: ruff
+        args: [--fix, --exit-non-zero-on-fix]
+        stages: [pre-commit]
+      - id: ruff-format
+        stages: [pre-commit]
+
+  - repo: https://github.com/nonebot/nonemoji
+    rev: v0.1.4
+    hooks:
+      - id: nonemoji
+        stages: [prepare-commit-msg]

.python-version

@@ -0,0 +1 @@
+3.10

CONTRIBUTING.en-US.md

@@ -0,0 +1,58 @@
+# How to Contribute?
+
+## Setting Up the Environment
+
+### For Developers with Basic Python Knowledge
+
+First, you need install [uv](https://docs.astral.sh/uv/).  
+Then:
+
+```bash
+# Set up the basic Python environment
+uv python install 3.10
+
+# Clone the repository
+git clone https://github.com/A-Minos/nonebot-plugin-tetris-stats.git
+cd nonebot-plugin-tetris-stats
+
+# Install dependencies
+uv sync
+```
+
+## Development
+
+### Code Development
+
+1. For static code analysis, use [ruff](https://docs.astral.sh/ruff/). You can install the corresponding plugin for your IDE or use the command line with `ruff check ./nonebot_plugin_tetris_stats/` to check the code.
+2. For code formatting, use [ruff](https://docs.astral.sh/ruff/). You can install the corresponding plugin for your IDE or use the command line with `ruff format ./nonebot_plugin_tetris_stats/` to format the code.
+3. For type checking, use both [basedpyright](https://docs.basedpyright.com/latest/) and [mypy](https://www.mypy-lang.org/). You can install the corresponding plugins for your IDE or use the following commands in the terminal to check the code:
+
+```bash
+# basedpyright
+basedpyright ./nonebot_plugin_tetris_stats/
+
+# mypy
+mypy ./nonebot_plugin_tetris_stats/
+```
+
+### Internationalization
+
+This project uses [Tarina](https://github.com/ArcletProject/Tarina) for internationalization support.
+
+#### Adding a New Language
+
+1. Navigate to the `./nonebot_plugin_tetris_stats/i18n/` directory.
+2. Run `tarina-lang create {language_code}` \* Please note that the language code should preferably follow the [IETF language tag](https://en.wikipedia.org/wiki/IETF_language_tag) standard.
+3. Edit the generated `./nonebot_plugin_tetris_stats/i18n/{language_code}.json` file.
+
+#### Updating an Existing Language
+
+1. Navigate to the `./nonebot_plugin_tetris_stats/i18n/` directory.
+2. Edit the corresponding `./nonebot_plugin_tetris_stats/i18n/{language_code}.json` file.
+
+#### Adding New Entries
+
+1. Navigate to the `./nonebot_plugin_tetris_stats/i18n/` directory.
+2. Edit the `.template.json` file.
+3. Run `tarina-lang schema && tarina-lang model`.
+4. Modify the language files, adding new entries at least to `en-US.json`.

CONTRIBUTING.md

@@ -0,0 +1,57 @@
+# 我该如何参与开发?
+
+## 配置环境
+
+首先你需要安装 [uv](https://docs.astral.sh/uv/)。  
+然后：
+
+```bash
+# 配置基础 Python 环境
+uv python install 3.10
+
+# 克隆仓库
+git clone https://github.com/A-Minos/nonebot-plugin-tetris-stats.git
+cd nonebot-plugin-tetris-stats
+
+# 安装依赖
+uv sync
+```
+
+## 开发
+
+### 代码开发
+
+1. 代码静态检查使用 [ruff](https://docs.astral.sh/ruff/)，你可以为你的ide安装对应插件来使用，也可以在命令行使用`ruff check ./nonebot_plugin_tetris_stats/`来检查代码。
+2. 代码格式化使用 [ruff](https://docs.astral.sh/ruff/)，你可以为你的ide安装对应插件来使用，也可以在命令行使用`ruff format ./nonebot_plugin_tetris_stats/`来格式化代码。
+3. 类型检查同时使用 [basedpyright](https://docs.basedpyright.com/latest/) 和 [mypy](https://www.mypy-lang.org/)，你可以为你的ide安装对应插件来使用。
+   也可以在命令行使用下面的命令来检查代码:
+
+```bash
+# basedpyright
+basedpyright ./nonebot_plugin_tetris_stats/
+
+# mypy
+mypy ./nonebot_plugin_tetris_stats/
+```
+
+### 国际化
+
+本项目使用 [Tarina](https://github.com/ArcletProject/Tarina) 提供国际化支持。
+
+#### 添加新的语言
+
+1. 进入 `./nonebot_plugin_tetris_stats/i18n/` 目录。
+2. 运行 `tarina-lang create {语言代码}` \* 请注意，语言代码最好符合 [IETF语言标签](https://zh.wikipedia.org/wiki/IETF%E8%AF%AD%E8%A8%80%E6%A0%87%E7%AD%BE) 的规范。
+3. 编辑生成的 `./nonebot_plugin_tetris_stats/i18n/{语言代码}.json` 文件。
+
+#### 更新已有语言
+
+1. 进入 `./nonebot_plugin_tetris_stats/i18n/` 目录。
+2. 编辑对应的 `./nonebot_plugin_tetris_stats/i18n/{语言代码}.json` 文件。
+
+#### 添加新的条目
+
+1. 进入 `./nonebot_plugin_tetris_stats/i18n/` 目录。
+2. 编辑 `.template.json` 文件。
+3. 运行 `tarina-lang schema && tarina-lang model`。
+4. 修改语言文件，至少为`en-US.json`添加新的条目。

README.md

@@ -41,10 +41,10 @@
     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 href="https://wakatime.com/badge/user/138b2226-8e02-42be-b99d-35c05198836f/project/e26c7985-a236-4e76-90a6-a72f71d305ef">
+    <img 
+        src="https://wakatime.com/badge/user/138b2226-8e02-42be-b99d-35c05198836f/project/e26c7985-a236-4e76-90a6-a72f71d305ef.svg"
+        alt="wakatime"
     />
 </a>
 </p>
@@ -87,3 +87,13 @@ pip install nonebot-plugin-tetris-stats
 ## 📝 开源
 
 本项目使用 [AGPL-3.0](https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats/blob/main/LICENSE) 许可证开源
+
+## 🤓☝ 给个 star 吧
+
+<a href="https://star-history.com/#A-Minos/nonebot-plugin-tetris-stats&Date">
+ <picture>
+   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=A-Minos/nonebot-plugin-tetris-stats&type=Date&theme=dark" />
+   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=A-Minos/nonebot-plugin-tetris-stats&type=Date" />
+   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=A-Minos/nonebot-plugin-tetris-stats&type=Date" />
+ </picture>
+</a>

nonebot_plugin_tetris_stats/__init__.py

@@ -1,20 +1,26 @@
 from nonebot import require
-from nonebot.plugin import PluginMetadata
+from nonebot.plugin import PluginMetadata, inherit_supported_adapters
 
-require('nonebot_plugin_alconna')
-require('nonebot_plugin_apscheduler')
-require('nonebot_plugin_localstore')
-require('nonebot_plugin_orm')
-require('nonebot_plugin_session_orm')
-require('nonebot_plugin_session')
-require('nonebot_plugin_user')
+require_plugins = {
+    'nonebot_plugin_alconna',
+    'nonebot_plugin_apscheduler',
+    'nonebot_plugin_localstore',
+    'nonebot_plugin_orm',
+    'nonebot_plugin_uninfo',
+    'nonebot_plugin_user',
+    'nonebot_plugin_waiter',
+}
+
+for i in require_plugins:
+    require(i)
 
 from nonebot_plugin_alconna import namespace  # noqa: E402
 
 with namespace('tetris_stats') as ns:
     ns.enable_message_cache = False
 
-from .config.config import migrations  # noqa: E402
+from .config import migrations  # noqa: E402
+from .config.config import Config  # noqa: E402
 
 __plugin_meta__ = PluginMetadata(
     name='Tetris Stats',
@@ -22,6 +28,8 @@ __plugin_meta__ = PluginMetadata(
     usage='发送 tstats --help 查询使用方法',
     type='application',
     homepage='https://github.com/A-minos/nonebot-plugin-tetris-stats',
+    config=Config,
+    supported_adapters=inherit_supported_adapters(*require_plugins),
     extra={
         'orm_version_location': migrations,
     },

nonebot_plugin_tetris_stats/config/config.py

@@ -1,14 +1,37 @@
 from pathlib import Path
 
-from nonebot_plugin_localstore import get_cache_dir  # type: ignore[import-untyped]
-from pydantic import BaseModel
+from nonebot import get_driver, get_plugin_config
+from nonebot_plugin_localstore import get_plugin_cache_dir, get_plugin_data_dir
+from pydantic import BaseModel, Field
 
-from . import migrations  # noqa: F401
+CACHE_PATH = get_plugin_cache_dir()
+DATA_PATH = get_plugin_data_dir()
 
-CACHE_PATH: Path = get_cache_dir('nonebot_plugin_tetris_stats')
+
+class Proxy(BaseModel):
+    main: str | None = None
+    github: str | None = None
+    tetrio: str | None = None
+    tos: str | None = None
+    top: str | None = None
+
+
+class Dev(BaseModel):
+    enabled: bool = False
+    template_path: Path | None = None
+    enable_template_check: bool = True
+
+
+class ScopedConfig(BaseModel):
+    request_timeout: float = 30.0
+    screenshot_quality: float = 2
+    proxy: Proxy = Field(default_factory=Proxy)
+    dev: Dev = Field(default_factory=Dev)
 
 
 class Config(BaseModel):
-    """配置类"""
+    tetris: ScopedConfig = Field(default_factory=ScopedConfig)
 
-    tetris_req_timeout: float = 30.0
+
+config = get_plugin_config(Config)
+global_config = get_driver().config

nonebot_plugin_tetris_stats/config/migrations/09d4bb60160d_rename_field.py

@@ -25,6 +25,8 @@ depends_on: str | Sequence[str] | None = None
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        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())
@@ -41,6 +43,8 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        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')

nonebot_plugin_tetris_stats/config/migrations/0d50142b780f_add_field.py

@@ -25,6 +25,8 @@ depends_on: str | Sequence[str] | None = None
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        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))
@@ -38,6 +40,8 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        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'))

nonebot_plugin_tetris_stats/config/migrations/1c5346b657d4_fix_json_storage.py

@@ -0,0 +1,160 @@
+"""fix json storage
+
+迁移 ID: 1c5346b657d4
+父迁移: 2ff388a8c486
+创建时间: 2026-01-30 03:35:00
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import msgspec
+import sqlalchemy as sa
+from alembic import op
+from nonebot.log import logger
+from sqlalchemy.dialects.postgresql import ARRAY, JSONB
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from sqlalchemy.engine import Connection
+
+_LOG_INTERVAL = 10000
+_BATCH_SIZE = 1000
+_PG_CHUNK_SIZE = 50000
+_SQLITE_FETCH_SIZE = 500
+
+revision: str = '1c5346b657d4'
+down_revision: str | Sequence[str] | None = '2ff388a8c486'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+tables: dict[str, list[str]] = {
+    'nb_t_io_tl_stats_field': [
+        'low_pps',
+        'low_apm',
+        'low_vs',
+        'high_pps',
+        'high_apm',
+        'high_vs',
+    ],
+    'nb_t_io_hist_data': ['data'],
+    'nb_t_top_hist_data': ['data'],
+    'nb_t_tos_hist_data': ['data'],
+    'nb_t_io_tl_hist': ['data'],
+}
+
+
+def _pg_convert_column(conn: Connection, table: str, column: str) -> None:
+    tbl = sa.table(table, sa.column('id'), sa.column(column))
+    col = getattr(tbl.c, column)
+    path = sa.cast(sa.literal('{}'), ARRAY(sa.Text))
+    payload = sa.cast(sa.cast(col, JSONB).op('#>>')(path), sa.JSON)
+    base = sa.func.json_typeof(col) == 'string'
+    min_max_stmt = sa.select(sa.func.min(tbl.c.id), sa.func.max(tbl.c.id)).where(base)
+    result = conn.execute(min_max_stmt).one()
+    if result[0] is None or result[1] is None:
+        return
+    start_id, end_id = result
+    total = end_id - start_id + 1
+    processed = 0
+    context = op.get_context()
+    with context.autocommit_block():
+        for chunk_start in range(start_id, end_id + 1, _PG_CHUNK_SIZE):
+            chunk_end = min(chunk_start + _PG_CHUNK_SIZE - 1, end_id)
+            stmt = (
+                sa.update(tbl).values({column: payload}).where(base).where(sa.between(tbl.c.id, chunk_start, chunk_end))
+            )
+            conn.execute(stmt)
+            processed += chunk_end - chunk_start + 1
+            logger.warning(
+                f'tetris_stats: converting {table}.{column} chunk {chunk_start}-{chunk_end} '
+                f'processed={processed}/{total}'
+            )
+    remaining_stmt = sa.select(sa.func.count()).select_from(tbl).where(base)
+    remaining = conn.execute(remaining_stmt).scalar()
+    if remaining:
+        msg = f'json storage fix failed: {table}.{column} still has string rows'
+        raise ValueError(msg)
+
+
+def _pg_convert(conn: Connection) -> None:
+    for table, columns in tables.items():
+        for column in columns:
+            logger.warning(f'tetris_stats: converting {table}.{column} from json string to object')
+            _pg_convert_column(conn, table, column)
+
+
+def _convert_table_python(conn: Connection, table_name: str, columns: list[str]) -> None:  # noqa: C901
+    meta = sa.MetaData()
+    table = sa.Table(table_name, meta, autoload_with=conn)
+    update_stmt = (
+        table.update().where(table.c.id == sa.bindparam('b_id')).values(**{col: sa.bindparam(col) for col in columns})
+    )
+    batch: list[dict[str, object]] = []
+    last_id = 0
+    processed = 0
+    while True:
+        rows = (
+            conn.execute(
+                sa.select(table.c.id, *[table.c[col] for col in columns])
+                .where(table.c.id > last_id)
+                .order_by(table.c.id)
+                .limit(_SQLITE_FETCH_SIZE)
+            )
+            .mappings()
+            .all()
+        )
+        if not rows:
+            break
+        for row in rows:
+            last_id = row['id']
+            processed += 1
+            update_values: dict[str, object] = {'b_id': row['id']}
+            changed = False
+            for column in columns:
+                value = row[column]
+                if isinstance(value, str | bytes):
+                    parsed = msgspec.json.decode(value)
+                    if not isinstance(parsed, dict | list):
+                        msg = f'json storage fix failed: {table_name}.{column} value is not object'
+                        raise TypeError(msg)
+                    update_values[column] = parsed
+                    changed = True
+                elif isinstance(value, dict | list):
+                    update_values[column] = value
+                else:
+                    msg = f'json storage fix failed: {table_name}.{column} invalid type {type(value)}'
+                    raise TypeError(msg)
+            if changed:
+                batch.append(update_values)
+            if processed % _LOG_INTERVAL == 0:
+                logger.warning(f'tetris_stats: converting {table_name} processed={processed}')
+            if len(batch) >= _BATCH_SIZE:
+                conn.execute(update_stmt, batch)
+                batch.clear()
+    if batch:
+        conn.execute(update_stmt, batch)
+
+
+def _generic_convert(conn: Connection) -> None:
+    for table, columns in tables.items():
+        logger.warning(f'tetris_stats: converting {table} via python')
+        _convert_table_python(conn, table, columns)
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    conn = op.get_bind()
+    if conn.dialect.name == 'postgresql':
+        _pg_convert(conn)
+    else:
+        _generic_convert(conn)
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/2ff388a8c486_add_verify_field.py

@@ -0,0 +1,42 @@
+"""add verify field
+
+迁移 ID: 2ff388a8c486
+父迁移: 3588702dd3a4
+创建时间: 2025-07-22 18:09:09.734164
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '2ff388a8c486'
+down_revision: str | Sequence[str] | None = '3588702dd3a4'
+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('nb_t_bind', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('verify', sa.Boolean(), nullable=False, server_default='false'))
+
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nb_t_bind', schema=None) as batch_op:
+        batch_op.drop_column('verify')
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/3588702dd3a4_modify_field_length.py

@@ -0,0 +1,52 @@
+"""modify field length
+
+迁移 ID: 3588702dd3a4
+父迁移: bc6abd57928f
+创建时间: 2025-07-19 17:21:17.927162
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '3588702dd3a4'
+down_revision: str | Sequence[str] | None = 'bc6abd57928f'
+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('nb_t_tos_hist_data', schema=None) as batch_op:
+        batch_op.alter_column(
+            'user_unique_identifier',
+            existing_type=sa.VARCHAR(length=24),
+            type_=sa.String(length=256),
+            existing_nullable=False,
+        )
+
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nb_t_tos_hist_data', schema=None) as batch_op:
+        batch_op.alter_column(
+            'user_unique_identifier',
+            existing_type=sa.String(length=256),
+            type_=sa.VARCHAR(length=24),
+            existing_nullable=False,
+        )
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/3a294ff14610_add_io_tl_map.py

@@ -0,0 +1,353 @@
+"""add io tl map
+
+迁移 ID: 3a294ff14610
+父迁移: 6ecf383d646a
+创建时间: 2026-01-28 03:25:40.714853
+
+"""
+
+from __future__ import annotations
+
+import os
+import re
+import time
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+from nonebot.log import logger
+from rich.progress import (
+    BarColumn,
+    MofNCompleteColumn,
+    Progress,
+    ProgressColumn,
+    Task,
+    TaskProgressColumn,
+    TextColumn,
+    TimeRemainingColumn,
+    filesize,
+)
+from rich.text import Text
+from sqlalchemy import Connection, text
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+from typing_extensions import override
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '3a294ff14610'
+down_revision: str | Sequence[str] | None = '6ecf383d646a'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+class RateColumn(ProgressColumn):
+    """Renders human readable processing rate."""
+
+    @override
+    def render(self, task: Task) -> Text:
+        """Render the speed in iterations per second."""
+
+        def calculate_speed() -> float | None:
+            now = time.monotonic()
+
+            if task.start_time is not None:
+                elapsed = (task.finished_time or now) - task.start_time
+                if elapsed > 0:
+                    return task.completed / elapsed
+            return None
+
+        speed = task.finished_speed or task.speed or calculate_speed()
+
+        if speed is None:
+            return Text('', style='progress.percentage')
+        unit, suffix = filesize.pick_unit_and_suffix(
+            int(speed),
+            ['', '×10³', '×10⁶', '×10⁹', '×10¹²'],  # noqa: RUF001
+            1000,
+        )
+        data_speed = speed / unit
+        return Text(f'{data_speed:.1f}{suffix} it/s', style='progress.percentage')
+
+
+def _backfill_postgresql(conn: Connection, chunk_size: int = 20000) -> None:
+    result = conn.execute(text('SELECT min(id), max(id) FROM nb_t_io_tl_hist')).one()
+    if result[0] is None or result[1] is None:
+        return
+    min_id, max_id = result
+    total = max_id - min_id + 1
+
+    logger.warning('PG backfill: Disabling foreign key constraints...')
+
+    work_mem = os.getenv('TETRIS_STATS_MIGRATION_WORK_MEM', '256MB')
+    if not re.fullmatch(r'\d+(kB|MB|GB)', work_mem):
+        work_mem = '256MB'
+    conn.execute(
+        text("SELECT set_config('work_mem', :work_mem, true)"),
+        {'work_mem': work_mem},
+    )
+    temp_buffers = os.getenv('TETRIS_STATS_MIGRATION_TEMP_BUFFERS', '128MB')
+    if not re.fullmatch(r'\d+(kB|MB|GB)', temp_buffers):
+        temp_buffers = '128MB'
+    conn.execute(
+        text("SELECT set_config('temp_buffers', :temp_buffers, true)"),
+        {'temp_buffers': temp_buffers},
+    )
+    conn.execute(text('SET LOCAL synchronous_commit = off'))
+
+    logger.warning('tetris_stats: PG backfill synchronous_commit=off')
+    logger.warning(f'tetris_stats: PG backfill work_mem={work_mem}')
+    logger.warning(f'tetris_stats: PG backfill temp_buffers={temp_buffers}')
+
+    conn.execute(text('SET LOCAL max_parallel_workers_per_gather = 8'))
+    conn.execute(text('SET LOCAL parallel_setup_cost = 10'))
+    conn.execute(text('SET LOCAL parallel_tuple_cost = 0.01'))
+
+    logger.warning('tetris_stats: PG backfill max_parallel_workers_per_gather=8')
+    logger.warning('tetris_stats: PG backfill parallel_setup_cost=10')
+    logger.warning('tetris_stats: PG backfill parallel_tuple_cost=0.01')
+
+    with Progress(
+        TextColumn('[progress.description]{task.description}'),
+        BarColumn(),
+        MofNCompleteColumn(),
+        TaskProgressColumn(),
+        RateColumn(),
+        TimeRemainingColumn(),
+    ) as progress:
+        task = progress.add_task('生成索引...', total=total)
+        for start_id in range(min_id, max_id + 1, chunk_size):
+            end_id = min(start_id + chunk_size - 1, max_id)
+            conn.execute(
+                text(
+                    """
+                    WITH entries AS (
+                        SELECT
+                            h.stats_id,
+                            h.id AS hist_id,
+                            e.ordinality - 1 AS entry_index,
+                            COALESCE(e.entry->>'_id', e.entry->>'id') AS uid_str
+                        FROM nb_t_io_tl_hist h
+                        CROSS JOIN LATERAL jsonb_array_elements(h.data::jsonb->'data'->'entries')
+                            WITH ORDINALITY AS e(entry, ordinality)
+                        WHERE h.id BETWEEN :start_id AND :end_id
+                        AND COALESCE(e.entry->>'_id', e.entry->>'id') IS NOT NULL
+                    ),
+                    upserted_uids AS (
+                        INSERT INTO nb_t_io_uid (user_unique_identifier)
+                        SELECT DISTINCT uid_str FROM entries
+                        ON CONFLICT (user_unique_identifier)
+                        DO UPDATE SET user_unique_identifier = EXCLUDED.user_unique_identifier
+                        RETURNING id, user_unique_identifier
+                    )
+                    INSERT INTO nb_t_io_tl_map (stats_id, uid_id, hist_id, entry_index)
+                    SELECT e.stats_id, u.id, e.hist_id, e.entry_index
+                    FROM entries e
+                    JOIN upserted_uids u ON u.user_unique_identifier = e.uid_str
+                """
+                ),
+                {'start_id': start_id, 'end_id': end_id},
+            )
+            progress.update(task, advance=end_id - start_id + 1)
+
+
+def _add_foreign_keys_postgresql(conn: Connection) -> None:
+    logger.warning('PG backfill: Re-adding foreign key constraints (validating)...')
+
+    conn.execute(
+        text("""
+        ALTER TABLE nb_t_io_tl_map
+        ADD CONSTRAINT fk_nb_t_io_tl_map_hist_id_nb_t_io_tl_hist
+        FOREIGN KEY (hist_id) REFERENCES nb_t_io_tl_hist(id)
+        NOT VALID
+    """)
+    )
+    conn.execute(
+        text("""
+        ALTER TABLE nb_t_io_tl_map
+        VALIDATE CONSTRAINT fk_nb_t_io_tl_map_hist_id_nb_t_io_tl_hist
+    """)
+    )
+
+    conn.execute(
+        text("""
+        ALTER TABLE nb_t_io_tl_map
+        ADD CONSTRAINT fk_nb_t_io_tl_map_stats_id_nb_t_io_tl_stats
+        FOREIGN KEY (stats_id) REFERENCES nb_t_io_tl_stats(id)
+        NOT VALID
+    """)
+    )
+    conn.execute(
+        text("""
+        ALTER TABLE nb_t_io_tl_map
+        VALIDATE CONSTRAINT fk_nb_t_io_tl_map_stats_id_nb_t_io_tl_stats
+    """)
+    )
+
+    conn.execute(
+        text("""
+        ALTER TABLE nb_t_io_tl_map
+        ADD CONSTRAINT fk_nb_t_io_tl_map_uid_id_nb_t_io_uid
+        FOREIGN KEY (uid_id) REFERENCES nb_t_io_uid(id)
+        NOT VALID
+    """)
+    )
+    conn.execute(
+        text("""
+        ALTER TABLE nb_t_io_tl_map
+        VALIDATE CONSTRAINT fk_nb_t_io_tl_map_uid_id_nb_t_io_uid
+    """)
+    )
+
+    logger.success('PG backfill: Foreign keys validated successfully')
+
+
+def _backfill_generic(conn: Connection) -> None:
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Hist = Base.classes.nb_t_io_tl_hist  # noqa: N806
+    Uid = Base.classes.nb_t_io_uid  # noqa: N806
+    Map = Base.classes.nb_t_io_tl_map  # noqa: N806
+
+    with Session(conn) as session:
+        count = session.query(Hist).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在生成 TETR.IO 玩家分页索引, 请不要关闭程序...')
+        uid_map: dict[str, int] = {}
+
+        def refresh_uid_map() -> None:
+            uids = session.query(Uid).all()
+            uid_map.clear()
+            uid_map.update({uid.user_unique_identifier: uid.id for uid in uids})
+
+        with Progress(
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            MofNCompleteColumn(),
+            TaskProgressColumn(),
+            RateColumn(),
+            TimeRemainingColumn(),
+        ) as progress:
+            total = progress.add_task('生成索引...', total=count)
+            for hist in session.query(Hist).yield_per(1):
+                data = hist.data
+                if isinstance(data, str | bytes):
+                    msg = 'io tl map migration requires json object data'
+                    raise TypeError(msg)
+                entries = data.get('data', {}).get('entries', []) if isinstance(data, dict) else []
+                entry_info: list[tuple[str, int]] = []
+                for index, entry in enumerate(entries):
+                    if isinstance(entry, dict):
+                        uid = entry.get('_id')
+                        if isinstance(uid, str):
+                            entry_info.append((uid, index))
+                if not entry_info:
+                    progress.update(total, advance=1)
+                    continue
+
+                session.add_all([Uid(user_unique_identifier=uid) for uid, _ in entry_info if uid not in uid_map])
+                session.flush()
+                refresh_uid_map()
+                session.add_all(
+                    [
+                        Map(
+                            stats_id=hist.stats_id,
+                            uid_id=uid_map[uid],
+                            hist_id=hist.id,
+                            entry_index=index,
+                        )
+                        for uid, index in entry_info
+                    ]
+                )
+                session.flush()
+                progress.update(total, advance=1)
+
+
+def backfill_mapping(conn: Connection) -> None:
+    if conn.dialect.name == 'postgresql':
+        logger.warning('tetris_stats: 检测到 PostgreSQL, 使用快速索引回填...')
+        _backfill_postgresql(conn)
+        _add_foreign_keys_postgresql(conn)
+        return
+    _backfill_generic(conn)
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    conn = op.get_bind()
+    op.create_table(
+        'nb_t_io_uid',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_unique_identifier', sa.String(length=24), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_io_uid')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_io_uid', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nb_t_io_uid_user_unique_identifier'),
+            ['user_unique_identifier'],
+            unique=True,
+        )
+
+    if conn.dialect.name == 'postgresql':
+        op.create_table(
+            'nb_t_io_tl_map',
+            sa.Column('id', sa.Integer(), nullable=False),
+            sa.Column('stats_id', sa.Integer(), nullable=False),
+            sa.Column('uid_id', sa.Integer(), nullable=False),
+            sa.Column('hist_id', sa.Integer(), nullable=False),
+            sa.Column('entry_index', sa.Integer(), nullable=False),
+            sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_io_tl_map')),
+            sa.UniqueConstraint('uid_id', 'hist_id', name='uq_nb_t_io_tl_map_uid_hist'),
+            info={'bind_key': 'nonebot_plugin_tetris_stats'},
+        )
+    else:
+        op.create_table(
+            'nb_t_io_tl_map',
+            sa.Column('id', sa.Integer(), nullable=False),
+            sa.Column('stats_id', sa.Integer(), nullable=False),
+            sa.Column('uid_id', sa.Integer(), nullable=False),
+            sa.Column('hist_id', sa.Integer(), nullable=False),
+            sa.Column('entry_index', sa.Integer(), nullable=False),
+            sa.ForeignKeyConstraint(
+                ['stats_id'],
+                ['nb_t_io_tl_stats.id'],
+                name=op.f('fk_nb_t_io_tl_map_stats_id_nb_t_io_tl_stats'),
+            ),
+            sa.ForeignKeyConstraint(
+                ['uid_id'],
+                ['nb_t_io_uid.id'],
+                name=op.f('fk_nb_t_io_tl_map_uid_id_nb_t_io_uid'),
+            ),
+            sa.ForeignKeyConstraint(
+                ['hist_id'],
+                ['nb_t_io_tl_hist.id'],
+                name=op.f('fk_nb_t_io_tl_map_hist_id_nb_t_io_tl_hist'),
+            ),
+            sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_io_tl_map')),
+            sa.UniqueConstraint('uid_id', 'hist_id', name='uq_nb_t_io_tl_map_uid_hist'),
+            info={'bind_key': 'nonebot_plugin_tetris_stats'},
+        )
+    backfill_mapping(conn)
+
+    with op.batch_alter_table('nb_t_io_tl_map', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nb_t_io_tl_map_stats_id'), ['stats_id'], unique=False)
+        batch_op.create_index(batch_op.f('ix_nb_t_io_tl_map_uid_id'), ['uid_id'], unique=False)
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    with op.batch_alter_table('nb_t_io_tl_map', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_tl_map_uid_id'))
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_tl_map_stats_id'))
+
+    op.drop_table('nb_t_io_tl_map')
+    with op.batch_alter_table('nb_t_io_uid', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_uid_user_unique_identifier'))
+
+    op.drop_table('nb_t_io_uid')

nonebot_plugin_tetris_stats/config/migrations/3c25a5a8c050_refactor_historical.py

@@ -16,10 +16,8 @@ from alembic import op
 from nonebot.log import logger
 from rich.progress import BarColumn, MofNCompleteColumn, Progress, TaskProgressColumn, TextColumn, TimeRemainingColumn
 from sqlalchemy import desc, select
-from sqlalchemy.dialects import sqlite
 from sqlalchemy.ext.automap import automap_base
 from sqlalchemy.orm import Session
-from ujson import dumps, loads
 
 if TYPE_CHECKING:
     from collections.abc import Sequence
@@ -30,7 +28,9 @@ branch_labels: str | Sequence[str] | None = None
 depends_on: str | Sequence[str] | None = None
 
 
-def migrate_old_data() -> None:
+def migrate_old_data() -> None:  # noqa: C901
+    from json import dumps, loads  # noqa: PLC0415
+
     Base = automap_base()  # noqa: N806
     Base.prepare(autoload_with=op.get_bind())
     OldHistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
@@ -46,6 +46,9 @@ def migrate_old_data() -> None:
             TimeRemainingColumn(),
         ) as progress,
     ):
+        if session.query(OldHistoricalData).count() == 0:
+            logger.info('空表, 跳过')
+            return
         task_id = progress.add_task('[cyan]Migrating:', total=session.query(OldHistoricalData).count())
         pointer = 0
         while pointer < session.query(OldHistoricalData).order_by(desc(OldHistoricalData.id)).limit(1).one().id:
@@ -105,6 +108,8 @@ def migrate_old_data() -> None:
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
     # ### commands auto generated by Alembic - please adjust! ###
     op.create_table(
         'nonebot_plugin_tetris_stats_tetriohistoricaldata',
@@ -215,23 +220,25 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
     # ### commands auto generated by Alembic - please adjust! ###
     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', sqlite.JSON(), nullable=False),
-        sa.Column('processed_data', sqlite.JSON(), nullable=False),
-        sa.Column('finish_time', sa.DATETIME(), nullable=False),
-        sa.Column('user_unique_identifier', sa.VARCHAR(length=32), nullable=False),
+        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.JSON(), nullable=False),
+        sa.Column('processed_data', sa.JSON(), nullable=False),
+        sa.Column('finish_time', sa.DateTime(), nullable=False),
+        sa.Column('user_unique_identifier', sa.String(length=32), 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:

nonebot_plugin_tetris_stats/config/migrations/3d900bb0e8d4_migrate_nonebot_plugin_tetris_stats_.py

@@ -0,0 +1,82 @@
+"""migrate nonebot_plugin_tetris_stats_tetrioleaguestats
+
+迁移 ID: 3d900bb0e8d4
+父迁移: 405c6936a164
+创建时间: 2025-07-18 02:22:03.771903
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '3d900bb0e8d4'
+down_revision: str | Sequence[str] | None = '405c6936a164'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_tetrioleaguestats' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Old = Base.classes.nonebot_plugin_tetris_stats_tetrioleaguestats  # noqa: N806
+    New = Base.classes.nb_t_io_tl_stats  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(Old).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for i in db_session.query(Old).yield_per(1):
+                db_session.add(
+                    New(
+                        id=i.id,
+                        update_time=i.update_time,
+                    )
+                )
+
+                progress.update(task, advance=1)
+
+                if progress.tasks[task].completed % 100 == 0:
+                    db_session.commit()
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/405c6936a164_migrate_nonebot_plugin_tetris_stats_.py

@@ -0,0 +1,85 @@
+"""migrate nonebot_plugin_tetris_stats_tetrioleaguehistorical
+
+迁移 ID: 405c6936a164
+父迁移: bbbdfd94e6fa
+创建时间: 2025-07-18 01:55:27.406032
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '405c6936a164'
+down_revision: str | Sequence[str] | None = 'bbbdfd94e6fa'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_tetrioleaguehistorical' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Old = Base.classes.nonebot_plugin_tetris_stats_tetrioleaguehistorical  # noqa: N806
+    New = Base.classes.nb_t_io_tl_hist  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(Old).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for i in db_session.query(Old).yield_per(1):
+                db_session.add(
+                    New(
+                        id=i.id,
+                        request_id=i.request_id,
+                        data=i.data,
+                        update_time=i.update_time,
+                        stats_id=i.stats_id,
+                    )
+                )
+
+                progress.update(task, advance=1)
+
+                if progress.tasks[task].completed % 100 == 0:
+                    db_session.commit()
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/5a1b93948494_add_tetrioleaguestats.py

@@ -0,0 +1,123 @@
+"""add TETRIOLeagueStats
+
+迁移 ID: 5a1b93948494
+父迁移: cfeab6961dce
+创建时间: 2024-08-24 00:22:41.359500
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '5a1b93948494'
+down_revision: str | Sequence[str] | None = 'cfeab6961dce'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        'nonebot_plugin_tetris_stats_tetrioleaguestats',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetrioleaguestats')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguestats', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguestats_update_time'), ['update_time'], unique=False
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_tetrioleaguehistorical',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('request_id', sa.Uuid(), nullable=False),
+        sa.Column('data', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.Column('stats_id', sa.Integer(), nullable=False),
+        sa.ForeignKeyConstraint(
+            ['stats_id'],
+            ['nonebot_plugin_tetris_stats_tetrioleaguestats.id'],
+            name=op.f(
+                'fk_nonebot_plugin_tetris_stats_tetrioleaguehistorical_stats_id_nonebot_plugin_tetris_stats_tetrioleaguestats'
+            ),
+        ),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetrioleaguehistorical')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguehistorical', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguehistorical_request_id'), ['request_id'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguehistorical_update_time'),
+            ['update_time'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_tetrioleaguestatsfield',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('rank', sa.String(length=2), nullable=False),
+        sa.Column('tr_line', sa.Float(), nullable=False),
+        sa.Column('player_count', sa.Integer(), nullable=False),
+        sa.Column('low_pps', sa.JSON(), nullable=False),
+        sa.Column('low_apm', sa.JSON(), nullable=False),
+        sa.Column('low_vs', sa.JSON(), nullable=False),
+        sa.Column('avg_pps', sa.Float(), nullable=False),
+        sa.Column('avg_apm', sa.Float(), nullable=False),
+        sa.Column('avg_vs', sa.Float(), nullable=False),
+        sa.Column('high_pps', sa.JSON(), nullable=False),
+        sa.Column('high_apm', sa.JSON(), nullable=False),
+        sa.Column('high_vs', sa.JSON(), nullable=False),
+        sa.Column('stats_id', sa.Integer(), nullable=False),
+        sa.ForeignKeyConstraint(
+            ['stats_id'],
+            ['nonebot_plugin_tetris_stats_tetrioleaguestats.id'],
+            name=op.f(
+                'fk_nonebot_plugin_tetris_stats_tetrioleaguestatsfield_stats_id_nonebot_plugin_tetris_stats_tetrioleaguestats'
+            ),
+        ),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetrioleaguestatsfield')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguestatsfield', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguestatsfield_rank'), ['rank'], unique=False
+        )
+
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguestatsfield', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguestatsfield_rank'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_tetrioleaguestatsfield')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguehistorical', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguehistorical_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguehistorical_request_id'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_tetrioleaguehistorical')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetrioleaguestats', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetrioleaguestats_update_time'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_tetrioleaguestats')
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/612d8b00d9ac_create_a_new_table.py

@@ -0,0 +1,64 @@
+"""Create a new table
+
+迁移 ID: 612d8b00d9ac
+父迁移: 5a1b93948494
+创建时间: 2025-05-26 04:49:29.664480
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '612d8b00d9ac'
+down_revision: str | Sequence[str] | None = '5a1b93948494'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    op.create_table(
+        'nonebot_plugin_tetris_stats_triggerhistoricaldatav2',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('session_persist_id', sa.Integer(), nullable=False),
+        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('finish_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_triggerhistoricaldatav2')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_triggerhistoricaldatav2', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldatav2_command_type'),
+            ['command_type'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldatav2_game_platform'),
+            ['game_platform'],
+            unique=False,
+        )
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_triggerhistoricaldatav2', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldatav2_game_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldatav2_command_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_triggerhistoricaldatav2')

nonebot_plugin_tetris_stats/config/migrations/6c3206f90cc3_add_field.py

@@ -13,7 +13,6 @@ from typing import TYPE_CHECKING
 from alembic import op
 from sqlalchemy.ext.automap import automap_base
 from sqlalchemy.orm import Session
-from ujson import dumps, loads
 
 if TYPE_CHECKING:
     from collections.abc import Sequence
@@ -27,6 +26,9 @@ depends_on: str | Sequence[str] | None = None
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    from json import dumps, loads  # noqa: PLC0415
 
     Base = automap_base()  # noqa: N806
     connection = op.get_bind()
@@ -50,6 +52,9 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    from json import dumps, loads  # noqa: PLC0415
 
     Base = automap_base()  # noqa: N806
     connection = op.get_bind()

nonebot_plugin_tetris_stats/config/migrations/6ecf383d646a_add_compare_delta_config.py

@@ -0,0 +1,53 @@
+"""add compare delta config
+
+迁移 ID: 6ecf383d646a
+父迁移: 1c5346b657d4
+创建时间: 2026-01-27 06:05:04.481654
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '6ecf383d646a'
+down_revision: str | Sequence[str] | None = '1c5346b657d4'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    op.create_table(
+        'nb_t_top_u_cfg',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('compare_delta', sa.Interval(), nullable=True),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_top_u_cfg')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    op.create_table(
+        'nb_t_tos_u_cfg',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('compare_delta', sa.Interval(), nullable=True),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_tos_u_cfg')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_io_u_cfg', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('compare_delta', sa.Interval(), nullable=True))
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    with op.batch_alter_table('nb_t_io_u_cfg', schema=None) as batch_op:
+        batch_op.drop_column('compare_delta')
+
+    op.drop_table('nb_t_tos_u_cfg')
+    op.drop_table('nb_t_top_u_cfg')

nonebot_plugin_tetris_stats/config/migrations/766cc7e75a62_migrate_to_uninfo.py

@@ -0,0 +1,120 @@
+"""Migrate to uninfo
+
+迁移 ID: 766cc7e75a62
+父迁移: 612d8b00d9ac
+创建时间: 2025-05-26 04:51:54.665200
+
+"""
+
+from __future__ import annotations
+
+import math
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '766cc7e75a62'
+down_revision: str | Sequence[str] | None = '612d8b00d9ac'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_triggerhistoricaldata' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    TriggerHistoricalData = Base.classes.nonebot_plugin_tetris_stats_triggerhistoricaldata  # noqa: N806
+    TriggerHistoricalDataV2 = Base.classes.nonebot_plugin_tetris_stats_triggerhistoricaldatav2  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(TriggerHistoricalData).count()
+        if count == 0:
+            return
+
+        try:
+            from nonebot_session_to_uninfo import (  # type: ignore[import-untyped]  # noqa: PLC0415
+                check_tables,
+                get_id_map,
+            )
+        except ImportError as err:
+            msg = '请安装 `nonebot-session-to-uninfo` 以迁移数据'
+            raise ValueError(msg) from err
+
+        check_tables()
+
+        migration_limit = 10000  # 每次迁移的数据量为 10000 条
+        last_id = -1
+        id_map: dict[int, int] = {}
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for _ in range(math.ceil(count / migration_limit)):
+                records = (
+                    db_session.query(TriggerHistoricalData)
+                    .order_by(TriggerHistoricalData.id)
+                    .where(TriggerHistoricalData.id > last_id)
+                    .limit(migration_limit)
+                    .all()
+                )
+                last_id = records[-1].id
+
+                session_ids = [
+                    record.session_persist_id for record in records if record.session_persist_id not in id_map
+                ]
+                if session_ids:
+                    id_map.update(get_id_map(session_ids))
+
+                db_session.add_all(
+                    TriggerHistoricalDataV2(
+                        id=record.id,
+                        session_persist_id=id_map[record.session_persist_id],
+                        trigger_time=record.trigger_time,
+                        game_platform=record.game_platform,
+                        command_type=record.command_type,
+                        command_args=record.command_args,
+                        finish_time=record.finish_time,
+                    )
+                    for record in records
+                )
+
+                progress.update(task, advance=len(records))
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return

nonebot_plugin_tetris_stats/config/migrations/8459b2a4b7a3_migrate_nonebot_plugin_tetris_stats_.py

@@ -0,0 +1,94 @@
+"""migrate nonebot_plugin_tetris_stats_tetrioleaguestatsfield
+
+迁移 ID: 8459b2a4b7a3
+父迁移: 3d900bb0e8d4
+创建时间: 2025-07-18 02:24:59.560252
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '8459b2a4b7a3'
+down_revision: str | Sequence[str] | None = '3d900bb0e8d4'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_tetrioleaguestatsfield' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Old = Base.classes.nonebot_plugin_tetris_stats_tetrioleaguestatsfield  # noqa: N806
+    New = Base.classes.nb_t_io_tl_stats_field  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(Old).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for i in db_session.query(Old).yield_per(1):
+                db_session.add(
+                    New(
+                        id=i.id,
+                        rank=i.rank,
+                        tr_line=i.tr_line,
+                        player_count=i.player_count,
+                        low_pps=i.low_pps,
+                        low_apm=i.low_apm,
+                        low_vs=i.low_vs,
+                        avg_pps=i.avg_pps,
+                        avg_apm=i.avg_apm,
+                        avg_vs=i.avg_vs,
+                        high_pps=i.high_pps,
+                        high_apm=i.high_apm,
+                        high_vs=i.high_vs,
+                        stats_id=i.stats_id,
+                    )
+                )
+
+                progress.update(task, advance=1)
+
+                if progress.tasks[task].completed % 100 == 0:
+                    db_session.commit()
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/8a91210ce14d_correct_the_data_in_historicaldata.py

@@ -28,16 +28,12 @@ depends_on: str | Sequence[str] | None = None
 def upgrade(name: str = '') -> None:  # noqa: C901
     if name:
         return
-    from nonebot_plugin_tetris_stats.version import __version__
+    if op.get_bind().dialect.name == 'postgresql':
+        return
 
-    if __version__ != '1.0.3':
-        msg = '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'
-        logger.critical(msg)
-        raise RuntimeError(msg)
-
-    from nonebot.compat import PYDANTIC_V2, type_validate_json
-    from pydantic import BaseModel, ValidationError
-    from rich.progress import (
+    from nonebot.compat import PYDANTIC_V2, type_validate_json  # noqa: PLC0415
+    from pydantic import BaseModel, ValidationError  # noqa: PLC0415
+    from rich.progress import (  # noqa: PLC0415
         BarColumn,
         MofNCompleteColumn,
         Progress,
@@ -46,10 +42,6 @@ def upgrade(name: str = '') -> None:  # noqa: C901
         TimeRemainingColumn,
     )
 
-    from nonebot_plugin_tetris_stats.game_data_processor.schemas import (  # type: ignore[import-untyped]
-        BaseProcessedData,
-    )
-
     Base = automap_base()  # noqa: N806
     Base.prepare(autoload_with=op.get_bind())
     HistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
@@ -62,18 +54,33 @@ def upgrade(name: str = '') -> None:  # noqa: C901
         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()
+        if count == 0:
+            logger.info('空表, 跳过')
+            return
+
+        from nonebot_plugin_tetris_stats.version import __version__  # noqa: PLC0415
+
+        if __version__ != '1.0.3':
+            msg = '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'
+            logger.critical(msg)
+            raise RuntimeError(msg)
+
+        from nonebot_plugin_tetris_stats.game_data_processor.schemas import (  # type: ignore[import-untyped]  # pyright: ignore[reportMissingImports]  # noqa: PLC0415
+            BaseProcessedData,
+        )
+
+        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 Progress(
             TextColumn('[progress.description]{task.description}'),
             BarColumn(),
@@ -96,3 +103,5 @@ def upgrade(name: str = '') -> None:  # noqa: C901
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return

nonebot_plugin_tetris_stats/config/migrations/9866f53ce44f_init_db.py

@@ -25,6 +25,8 @@ depends_on: str | Sequence[str] | None = None
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
     # ### commands auto generated by Alembic - please adjust! ###
     op.create_table(
         'nonebot_plugin_tetris_stats_bind',
@@ -122,6 +124,8 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        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'))

nonebot_plugin_tetris_stats/config/migrations/9cd1647db502_merge_old_db.py

@@ -37,14 +37,10 @@ def migrate_old_data(connection: Connection) -> None:
     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
+        return bool(obj != '' and not obj.isspace())
 
     def is_int(obj: int | str) -> bool:
-        if isinstance(obj, int) or obj.isdigit():
-            return True
-        return False
+        return bool(isinstance(obj, int) or obj.isdigit())
 
     bind_list = [
         Bind(chat_platform='OneBot V11', chat_account=int(row.QQ), game_platform='IO', game_account=row.USER)
@@ -67,6 +63,8 @@ def migrate_old_data(connection: Connection) -> None:
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
     try:
         db_path = Path(config.db_url)
     except AttributeError:
@@ -95,3 +93,5 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return

nonebot_plugin_tetris_stats/config/migrations/9f6582279ce2_recreate_historical_data.py

@@ -12,7 +12,6 @@ from typing import TYPE_CHECKING
 
 import sqlalchemy as sa
 from alembic import op
-from sqlalchemy.dialects import sqlite
 
 if TYPE_CHECKING:
     from collections.abc import Sequence
@@ -26,6 +25,8 @@ depends_on: str | Sequence[str] | None = None
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        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')
@@ -71,6 +72,8 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        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'))
@@ -82,19 +85,19 @@ def downgrade(name: str = '') -> None:
 
     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.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='pk_nonebot_plugin_tetris_stats_historicaldata'),
     )
     with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:

nonebot_plugin_tetris_stats/config/migrations/a1195e989cc6_add_tetrio_user_configuration.py

@@ -25,6 +25,8 @@ depends_on: str | Sequence[str] | None = None
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
     # ### commands auto generated by Alembic - please adjust! ###
     op.create_table(
         'nonebot_plugin_tetris_stats_tetriouserconfig',
@@ -39,6 +41,8 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
     # ### commands auto generated by Alembic - please adjust! ###
     op.drop_table('nonebot_plugin_tetris_stats_tetriouserconfig')
     # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/b15844837693_migrate_to_nonobot_plugin_user.py

@@ -25,6 +25,8 @@ depends_on: str | Sequence[str] | None = None
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
     # ### commands auto generated by Alembic - please adjust! ###
     with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:
         batch_op.drop_index('ix_nonebot_plugin_tetris_stats_bind_chat_account')
@@ -49,6 +51,8 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
     # ### commands auto generated by Alembic - please adjust! ###
     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_user_id'))
@@ -57,11 +61,11 @@ def downgrade(name: str = '') -> None:
 
     op.create_table(
         'nonebot_plugin_tetris_stats_bind',
-        sa.Column('id', sa.INTEGER(), nullable=False),
-        sa.Column('chat_platform', sa.VARCHAR(length=32), nullable=False),
-        sa.Column('chat_account', sa.VARCHAR(), nullable=False),
-        sa.Column('game_platform', sa.VARCHAR(length=32), nullable=False),
-        sa.Column('game_account', sa.VARCHAR(), nullable=False),
+        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='pk_nonebot_plugin_tetris_stats_bind'),
     )
     with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:

nonebot_plugin_tetris_stats/config/migrations/b2075a5ce371_create_new_tables.py

@@ -0,0 +1,215 @@
+"""create new tables
+
+迁移 ID: b2075a5ce371
+父迁移: 766cc7e75a62
+创建时间: 2025-07-17 22:57:32.245327
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'b2075a5ce371'
+down_revision: str | Sequence[str] | None = '766cc7e75a62'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        'nb_t_bind',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_id', sa.Integer(), 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_nb_t_bind')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_bind', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nb_t_bind_user_id'), ['user_id'], unique=False)
+
+    op.create_table(
+        'nb_t_io_hist_data',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_unique_identifier', sa.String(length=24), nullable=False),
+        sa.Column('api_type', sa.String(length=32), nullable=False),
+        sa.Column('data', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_io_hist_data')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_io_hist_data', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nb_t_io_hist_data_api_type'), ['api_type'], unique=False)
+        batch_op.create_index(batch_op.f('ix_nb_t_io_hist_data_update_time'), ['update_time'], unique=False)
+        batch_op.create_index(
+            batch_op.f('ix_nb_t_io_hist_data_user_unique_identifier'), ['user_unique_identifier'], unique=False
+        )
+
+    op.create_table(
+        'nb_t_io_tl_stats',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_io_tl_stats')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_io_tl_stats', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nb_t_io_tl_stats_update_time'), ['update_time'], unique=False)
+
+    op.create_table(
+        'nb_t_io_u_cfg',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('query_template', sa.String(length=2), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_io_u_cfg')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    op.create_table(
+        'nb_t_top_hist_data',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_unique_identifier', sa.String(length=24), nullable=False),
+        sa.Column('api_type', sa.String(length=16), nullable=False),
+        sa.Column('data', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_top_hist_data')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_top_hist_data', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nb_t_top_hist_data_api_type'), ['api_type'], unique=False)
+        batch_op.create_index(batch_op.f('ix_nb_t_top_hist_data_update_time'), ['update_time'], unique=False)
+        batch_op.create_index(
+            batch_op.f('ix_nb_t_top_hist_data_user_unique_identifier'), ['user_unique_identifier'], unique=False
+        )
+
+    op.create_table(
+        'nb_t_tos_hist_data',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_unique_identifier', sa.String(length=24), nullable=False),
+        sa.Column('api_type', sa.String(length=16), nullable=False),
+        sa.Column('data', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_tos_hist_data')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_tos_hist_data', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nb_t_tos_hist_data_api_type'), ['api_type'], unique=False)
+        batch_op.create_index(batch_op.f('ix_nb_t_tos_hist_data_update_time'), ['update_time'], unique=False)
+        batch_op.create_index(
+            batch_op.f('ix_nb_t_tos_hist_data_user_unique_identifier'), ['user_unique_identifier'], unique=False
+        )
+
+    op.create_table(
+        'nb_t_trigger_hist_v2',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('session_persist_id', sa.Integer(), nullable=False),
+        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('finish_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_trigger_hist_v2')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_trigger_hist_v2', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nb_t_trigger_hist_v2_command_type'), ['command_type'], unique=False)
+        batch_op.create_index(batch_op.f('ix_nb_t_trigger_hist_v2_game_platform'), ['game_platform'], unique=False)
+
+    op.create_table(
+        'nb_t_io_tl_hist',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('request_id', sa.Uuid(), nullable=False),
+        sa.Column('data', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.Column('stats_id', sa.Integer(), nullable=False),
+        sa.ForeignKeyConstraint(
+            ['stats_id'], ['nb_t_io_tl_stats.id'], name=op.f('fk_nb_t_io_tl_hist_stats_id_nb_t_io_tl_stats')
+        ),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_io_tl_hist')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_io_tl_hist', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nb_t_io_tl_hist_request_id'), ['request_id'], unique=False)
+        batch_op.create_index(batch_op.f('ix_nb_t_io_tl_hist_update_time'), ['update_time'], unique=False)
+
+    op.create_table(
+        'nb_t_io_tl_stats_field',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('rank', sa.String(length=2), nullable=False),
+        sa.Column('tr_line', sa.Float(), nullable=False),
+        sa.Column('player_count', sa.Integer(), nullable=False),
+        sa.Column('low_pps', sa.JSON(), nullable=False),
+        sa.Column('low_apm', sa.JSON(), nullable=False),
+        sa.Column('low_vs', sa.JSON(), nullable=False),
+        sa.Column('avg_pps', sa.Float(), nullable=False),
+        sa.Column('avg_apm', sa.Float(), nullable=False),
+        sa.Column('avg_vs', sa.Float(), nullable=False),
+        sa.Column('high_pps', sa.JSON(), nullable=False),
+        sa.Column('high_apm', sa.JSON(), nullable=False),
+        sa.Column('high_vs', sa.JSON(), nullable=False),
+        sa.Column('stats_id', sa.Integer(), nullable=False),
+        sa.ForeignKeyConstraint(
+            ['stats_id'], ['nb_t_io_tl_stats.id'], name=op.f('fk_nb_t_io_tl_stats_field_stats_id_nb_t_io_tl_stats')
+        ),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nb_t_io_tl_stats_field')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nb_t_io_tl_stats_field', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nb_t_io_tl_stats_field_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('nb_t_io_tl_stats_field', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_tl_stats_field_rank'))
+
+    op.drop_table('nb_t_io_tl_stats_field')
+    with op.batch_alter_table('nb_t_io_tl_hist', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_tl_hist_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_tl_hist_request_id'))
+
+    op.drop_table('nb_t_io_tl_hist')
+    with op.batch_alter_table('nb_t_trigger_hist_v2', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_trigger_hist_v2_game_platform'))
+        batch_op.drop_index(batch_op.f('ix_nb_t_trigger_hist_v2_command_type'))
+
+    op.drop_table('nb_t_trigger_hist_v2')
+    with op.batch_alter_table('nb_t_tos_hist_data', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_tos_hist_data_user_unique_identifier'))
+        batch_op.drop_index(batch_op.f('ix_nb_t_tos_hist_data_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nb_t_tos_hist_data_api_type'))
+
+    op.drop_table('nb_t_tos_hist_data')
+    with op.batch_alter_table('nb_t_top_hist_data', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_top_hist_data_user_unique_identifier'))
+        batch_op.drop_index(batch_op.f('ix_nb_t_top_hist_data_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nb_t_top_hist_data_api_type'))
+
+    op.drop_table('nb_t_top_hist_data')
+    op.drop_table('nb_t_io_u_cfg')
+    with op.batch_alter_table('nb_t_io_tl_stats', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_tl_stats_update_time'))
+
+    op.drop_table('nb_t_io_tl_stats')
+    with op.batch_alter_table('nb_t_io_hist_data', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_hist_data_user_unique_identifier'))
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_hist_data_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nb_t_io_hist_data_api_type'))
+
+    op.drop_table('nb_t_io_hist_data')
+    with op.batch_alter_table('nb_t_bind', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nb_t_bind_user_id'))
+
+    op.drop_table('nb_t_bind')
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/b7fbdafc339a_add_user_unique_identifier_field_to_.py

@@ -23,18 +23,15 @@ branch_labels: str | Sequence[str] | None = None
 depends_on: str | Sequence[str] | None = None
 
 
-def upgrade(name: str = '') -> None:
+def upgrade(name: str = '') -> None:  # noqa: C901
     if name:
         return
-    from nonebot_plugin_tetris_stats.version import __version__
+    if op.get_bind().dialect.name == 'postgresql':
+        return
 
-    if __version__ != '1.0.4':
-        msg = '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'
-        logger.critical(msg)
-        raise RuntimeError(msg)
-    from nonebot.compat import type_validate_json
-    from pydantic import ValidationError
-    from rich.progress import (
+    from nonebot.compat import type_validate_json  # noqa: PLC0415
+    from pydantic import ValidationError  # noqa: PLC0415
+    from rich.progress import (  # noqa: PLC0415
         BarColumn,
         MofNCompleteColumn,
         Progress,
@@ -42,11 +39,9 @@ def upgrade(name: str = '') -> None:
         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  # type: ignore[import-untyped]
+    from sqlalchemy import select  # noqa: PLC0415
+    from sqlalchemy.ext.automap import automap_base  # noqa: PLC0415
+    from sqlalchemy.orm import Session  # noqa: PLC0415
 
     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))
@@ -60,37 +55,50 @@ def upgrade(name: str = '') -> None:
     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)
+        if count == 0:
+            logger.info('空表, 跳过')
+        else:
+            from nonebot_plugin_tetris_stats.version import __version__  # noqa: PLC0415
+
+            if __version__ != '1.0.4':
+                msg = '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'
+                logger.critical(msg)
+                raise RuntimeError(msg)
+            from nonebot_plugin_tetris_stats.game_data_processor.schemas import (  # type: ignore[import-untyped]  # pyright: ignore[reportMissingImports]  # noqa: PLC0415
+                BaseUser,
+            )
+
+            models: list[type[BaseUser]] = BaseUser.__subclasses__()
+
+            def json_to_model(value: str) -> BaseUser:
+                for i in models:
                     try:
-                        j.user_unique_identifier = model.unique_identifier
-                    except ValueError:
-                        session.delete(j)
-                    progress.update(task_id, advance=1)
-                session.commit()
+                        return type_validate_json(i, value)
+                    except ValidationError:  # noqa: PERF203
+                        ...
+                raise ValueError
+
+            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')
@@ -99,6 +107,8 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        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'))

nonebot_plugin_tetris_stats/config/migrations/b96c8c18b79a_migrate_nonebot_plugin_tetris_stats_.py

@@ -0,0 +1,82 @@
+"""migrate nonebot_plugin_tetris_stats_tetriouserconfig
+
+迁移 ID: b96c8c18b79a
+父迁移: 8459b2a4b7a3
+创建时间: 2025-07-18 04:25:44.190319
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'b96c8c18b79a'
+down_revision: str | Sequence[str] | None = '8459b2a4b7a3'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_tetriouserconfig' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Old = Base.classes.nonebot_plugin_tetris_stats_tetriouserconfig  # noqa: N806
+    New = Base.classes.nb_t_io_u_cfg  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(Old).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for i in db_session.query(Old).yield_per(1):
+                db_session.add(
+                    New(
+                        id=i.id,
+                        query_template=i.query_template,
+                    )
+                )
+
+                progress.update(task, advance=1)
+
+                if progress.tasks[task].completed % 100 == 0:
+                    db_session.commit()
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/b9d65badc713_del_old_tos_bind_data.py

@@ -26,6 +26,8 @@ depends_on: str | Sequence[str] | None = None
 def upgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
 
     Base = automap_base()  # noqa: N806
     connection = op.get_bind()
@@ -40,3 +42,5 @@ def upgrade(name: str = '') -> None:
 def downgrade(name: str = '') -> None:
     if name:
         return
+    if op.get_bind().dialect.name == 'postgresql':
+        return

nonebot_plugin_tetris_stats/config/migrations/bbbdfd94e6fa_migrate_nonebot_plugin_tetris_stats_.py

@@ -0,0 +1,85 @@
+"""migrate nonebot_plugin_tetris_stats_tetriohistoricaldata
+
+迁移 ID: bbbdfd94e6fa
+父迁移: d61e6ae36586
+创建时间: 2025-07-18 00:42:33.730885
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'bbbdfd94e6fa'
+down_revision: str | Sequence[str] | None = 'd61e6ae36586'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_tetriohistoricaldata' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Old = Base.classes.nonebot_plugin_tetris_stats_tetriohistoricaldata  # noqa: N806
+    New = Base.classes.nb_t_io_hist_data  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(Old).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for i in db_session.query(Old).yield_per(1):
+                db_session.add(
+                    New(
+                        id=i.id,
+                        user_unique_identifier=i.user_unique_identifier,
+                        api_type=i.api_type,
+                        data=i.data,
+                        update_time=i.update_time,
+                    )
+                )
+
+                progress.update(task, advance=1)
+
+                if progress.tasks[task].completed % 100 == 0:
+                    db_session.commit()
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/bc6abd57928f_migrate_nonebot_plugin_tetris_stats_.py

@@ -0,0 +1,87 @@
+"""migrate nonebot_plugin_tetris_stats_triggerhistoricaldatav2
+
+迁移 ID: bc6abd57928f
+父迁移: ee76ae37d70a
+创建时间: 2025-07-18 04:33:04.222045
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'bc6abd57928f'
+down_revision: str | Sequence[str] | None = 'ee76ae37d70a'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_triggerhistoricaldatav2' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Old = Base.classes.nonebot_plugin_tetris_stats_triggerhistoricaldatav2  # noqa: N806
+    New = Base.classes.nb_t_trigger_hist_v2  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(Old).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for i in db_session.query(Old).yield_per(1):
+                db_session.add(
+                    New(
+                        id=i.id,
+                        trigger_time=i.trigger_time,
+                        session_persist_id=i.session_persist_id,
+                        game_platform=i.game_platform,
+                        command_type=i.command_type,
+                        command_args=i.command_args,
+                        finish_time=i.finish_time,
+                    )
+                )
+
+                progress.update(task, advance=1)
+
+                if progress.tasks[task].completed % 100 == 0:
+                    db_session.commit()
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/ce073d279d19_migrate_nonebot_plugin_tetris_stats_.py

@@ -0,0 +1,85 @@
+"""migrate nonebot_plugin_tetris_stats_tophistoricaldata
+
+迁移 ID: ce073d279d19
+父迁移: b96c8c18b79a
+创建时间: 2025-07-18 04:28:13.820635
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'ce073d279d19'
+down_revision: str | Sequence[str] | None = 'b96c8c18b79a'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_tophistoricaldata' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Old = Base.classes.nonebot_plugin_tetris_stats_tophistoricaldata  # noqa: N806
+    New = Base.classes.nb_t_top_hist_data  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(Old).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for i in db_session.query(Old).yield_per(1):
+                db_session.add(
+                    New(
+                        id=i.id,
+                        user_unique_identifier=i.user_unique_identifier,
+                        api_type=i.api_type,
+                        data=i.data,
+                        update_time=i.update_time,
+                    )
+                )
+
+                progress.update(task, advance=1)
+
+                if progress.tasks[task].completed % 100 == 0:
+                    db_session.commit()
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/cfeab6961dce_extend_api_type_field_length.py

@@ -0,0 +1,54 @@
+"""Extend api_type field length
+
+迁移 ID: cfeab6961dce
+父迁移: f5b4a6d1325b
+创建时间: 2024-08-09 14:20:59.789030
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+from nonebot.log import logger
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'cfeab6961dce'
+down_revision: str | Sequence[str] | None = 'f5b4a6d1325b'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.alter_column(
+            'api_type', existing_type=sa.VARCHAR(length=16), type_=sa.String(length=32), existing_nullable=False
+        )
+
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    logger.warning('新数据可能不支持降级!')
+    logger.warning('请确认数据库内数据可以迁移到旧版本!')
+    input('如果确认可以迁移, 请按回车键继续!')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.alter_column(
+            'api_type', existing_type=sa.String(length=32), type_=sa.VARCHAR(length=16), existing_nullable=False
+        )
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/d61e6ae36586_migrate_nonebot_plugin_tetris_stats_bind.py

@@ -0,0 +1,84 @@
+"""migrate nonebot_plugin_tetris_stats_bind
+
+迁移 ID: d61e6ae36586
+父迁移: b2075a5ce371
+创建时间: 2025-07-17 23:58:13.408384
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'd61e6ae36586'
+down_revision: str | Sequence[str] | None = 'b2075a5ce371'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_bind' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Old = Base.classes.nonebot_plugin_tetris_stats_bind  # noqa: N806
+    New = Base.classes.nb_t_bind  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(Old).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for i in db_session.query(Old).yield_per(100):
+                db_session.add(
+                    New(
+                        id=i.id,
+                        user_id=i.user_id,
+                        game_platform=i.game_platform,
+                        game_account=i.game_account,
+                    )
+                )
+
+                progress.update(task, advance=1)
+
+                if progress.tasks[task].completed % 100 == 0:
+                    db_session.commit()
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/ee76ae37d70a_migrate_nonebot_plugin_tetris_stats_.py

@@ -0,0 +1,85 @@
+"""migrate nonebot_plugin_tetris_stats_toshistoricaldata
+
+迁移 ID: ee76ae37d70a
+父迁移: ce073d279d19
+创建时间: 2025-07-18 04:29:52.976624
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskProgressColumn, TextColumn
+from sqlalchemy import inspect
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'ee76ae37d70a'
+down_revision: str | Sequence[str] | None = 'ce073d279d19'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def data_migrate() -> None:
+    conn = op.get_bind()
+    insp = inspect(conn)
+    table_names = insp.get_table_names()
+    if 'nonebot_plugin_tetris_stats_toshistoricaldata' not in table_names:
+        return
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=conn)
+    Old = Base.classes.nonebot_plugin_tetris_stats_toshistoricaldata  # noqa: N806
+    New = Base.classes.nb_t_tos_hist_data  # noqa: N806
+
+    with Session(conn) as db_session:
+        count = db_session.query(Old).count()
+        if count == 0:
+            return
+
+        logger.warning('tetris_stats: 正在迁移数据, 请不要关闭程序...')
+
+        with Progress(
+            SpinnerColumn(),
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            TaskProgressColumn(),
+        ) as progress:
+            task = progress.add_task('迁移数据...', total=count)
+
+            for i in db_session.query(Old).yield_per(1):
+                db_session.add(
+                    New(
+                        id=i.id,
+                        user_unique_identifier=i.user_unique_identifier,
+                        api_type=i.api_type,
+                        data=i.data,
+                        update_time=i.update_time,
+                    )
+                )
+
+                progress.update(task, advance=1)
+
+                if progress.tasks[task].completed % 100 == 0:
+                    db_session.commit()
+
+        db_session.commit()
+
+        logger.success('tetris_stats: 数据迁移完成!')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    data_migrate()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return

nonebot_plugin_tetris_stats/config/migrations/f5b4a6d1325b_tetr_io_new_season.py

@@ -0,0 +1,95 @@
+"""TETR.IO new season
+
+迁移 ID: f5b4a6d1325b
+父迁移: a1195e989cc6
+创建时间: 2024-08-01 20:44:48.644912
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'f5b4a6d1325b'
+down_revision: str | Sequence[str] | None = 'a1195e989cc6'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_iorank_file_hash')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_iorank_rank')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_iorank_update_time')
+
+    op.drop_table('nonebot_plugin_tetris_stats_iorank')
+
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_api_type')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_update_time')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_user_unique_identifier')
+
+    op.drop_table('nonebot_plugin_tetris_stats_tetriohistoricaldata')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_tetriohistoricaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('user_unique_identifier', sa.String(length=24), nullable=False),
+        sa.Column('api_type', sa.String(length=16), nullable=False),
+        sa.Column('data', sa.JSON(), nullable=False),
+        sa.Column('update_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetriohistoricaldata')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_api_type'), ['api_type'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_update_time'), ['update_time'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_user_unique_identifier'),
+            ['user_unique_identifier'],
+            unique=False,
+        )
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    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('update_time', sa.DateTime(), nullable=False),
+        sa.Column('file_hash', sa.String(length=128), nullable=True),
+        sa.PrimaryKeyConstraint('id', name='pk_nonebot_plugin_tetris_stats_iorank'),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_iorank_update_time', ['update_time'], unique=False)
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_iorank_rank', ['rank'], unique=False)
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_iorank_file_hash', ['file_hash'], unique=False)

nonebot_plugin_tetris_stats/db/__init__.py

@@ -1,25 +1,29 @@
 from asyncio import Lock
 from collections.abc import AsyncGenerator
 from contextlib import asynccontextmanager
-from datetime import datetime, timezone
+from datetime import datetime, timedelta, timezone
 from enum import Enum, auto
 from typing import TYPE_CHECKING, Literal, TypeVar, overload
 
 from nonebot.exception import FinishedException
 from nonebot.log import logger
 from nonebot_plugin_orm import AsyncSession, get_session
-from nonebot_plugin_user import User  # type: ignore[import-untyped]
+from nonebot_plugin_user import User
 from sqlalchemy import select
 
-from ..utils.typing import CommandType, GameType
-from .models import Bind, TriggerHistoricalData
+from ..utils.duration import DEFAULT_COMPARE_DELTA
+from ..utils.typedefs import AllCommandType, BaseCommandType, GameType, TETRIOCommandType
+from .models import Bind, TriggerHistoricalDataV2
 
 UTC = timezone.utc
 
 if TYPE_CHECKING:
     from ..games.tetrio.api.models import TETRIOHistoricalData
+    from ..games.tetrio.models import TETRIOUserConfig
     from ..games.top.api.models import TOPHistoricalData
+    from ..games.top.models import TOPUserConfig
     from ..games.tos.api.models import TOSHistoricalData
+    from ..games.tos.models import TOSUserConfig
 
 
 class BindStatus(Enum):
@@ -42,6 +46,8 @@ async def create_or_update_bind(
     user: User,
     game_platform: GameType,
     game_account: str,
+    *,
+    verify: bool = False,
 ) -> BindStatus:
     bind = await query_bind_info(
         session=session,
@@ -53,26 +59,45 @@ async def create_or_update_bind(
             user_id=user.id,
             game_platform=game_platform,
             game_account=game_account,
+            verify=verify,
         )
         session.add(bind)
-        message = BindStatus.SUCCESS
+        status = BindStatus.SUCCESS
     else:
         bind.game_account = game_account
-        message = BindStatus.UPDATE
+        bind.verify = verify
+        status = BindStatus.UPDATE
     await session.commit()
-    return message
+    return status
 
 
-T = TypeVar('T', 'TETRIOHistoricalData', 'TOPHistoricalData', 'TOSHistoricalData')
+async def remove_bind(
+    session: AsyncSession,
+    user: User,
+    game_platform: GameType,
+) -> bool:
+    bind = await query_bind_info(
+        session=session,
+        user=user,
+        game_platform=game_platform,
+    )
+    if bind is not None:
+        await session.delete(bind)
+        await session.commit()
+        return True
+    return False
+
+
+T_HistoricalData = TypeVar('T_HistoricalData', 'TETRIOHistoricalData', 'TOPHistoricalData', 'TOSHistoricalData')
 
 lock = Lock()
 
 
-async def anti_duplicate_add(cls: type[T], model: T) -> None:
+async def anti_duplicate_add(model: T_HistoricalData) -> None:
     async with lock, get_session() as session:
         result = (
             await session.scalars(
-                select(cls)
+                select(cls := model.__class__)
                 .where(cls.update_time == model.update_time)
                 .where(cls.user_unique_identifier == model.user_unique_identifier)
                 .where(cls.api_type == model.api_type)
@@ -87,12 +112,25 @@ async def anti_duplicate_add(cls: type[T], model: T) -> None:
         await session.commit()
 
 
+T_CONFIG = TypeVar('T_CONFIG', 'TETRIOUserConfig', 'TOPUserConfig', 'TOSUserConfig')
+
+
+async def resolve_compare_delta(
+    config: type[T_CONFIG], session: AsyncSession, user_id: int, compare: timedelta | None
+) -> timedelta:
+    return (
+        compare
+        or await session.scalar(select(config.compare_delta).where(config.id == user_id))
+        or DEFAULT_COMPARE_DELTA
+    )
+
+
 @asynccontextmanager
 @overload
 async def trigger(
     session_persist_id: int,
     game_platform: Literal['IO'],
-    command_type: CommandType | Literal['rank'],
+    command_type: TETRIOCommandType,
     command_args: list[str],
 ) -> AsyncGenerator:
     yield
@@ -103,7 +141,7 @@ async def trigger(
 async def trigger(
     session_persist_id: int,
     game_platform: GameType,
-    command_type: CommandType,
+    command_type: BaseCommandType,
     command_args: list[str],
 ) -> AsyncGenerator:
     yield
@@ -113,7 +151,7 @@ async def trigger(
 async def trigger(
     session_persist_id: int,
     game_platform: GameType,
-    command_type: CommandType | Literal['rank'],
+    command_type: AllCommandType,
     command_args: list[str],
 ) -> AsyncGenerator:
     trigger_time = datetime.now(UTC)
@@ -122,7 +160,7 @@ async def trigger(
     except FinishedException:
         async with get_session() as session:
             session.add(
-                TriggerHistoricalData(
+                TriggerHistoricalDataV2(
                     trigger_time=trigger_time,
                     session_persist_id=session_persist_id,
                     game_platform=game_platform,

nonebot_plugin_tetris_stats/db/models.py

@@ -1,15 +1,15 @@
 from collections.abc import Callable, Sequence
 from datetime import datetime
-from typing import Any, Literal
+from typing import Any
 
-from nonebot.compat import PYDANTIC_V2, type_validate_json
+from nonebot.compat import PYDANTIC_V2, type_validate_python
 from nonebot_plugin_orm import Model
 from pydantic import BaseModel, ValidationError
 from sqlalchemy import JSON, DateTime, Dialect, String, TypeDecorator
 from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
 from typing_extensions import override
 
-from ..utils.typing import CommandType, GameType
+from ..utils.typedefs import AllCommandType, GameType
 
 
 class PydanticType(TypeDecorator):
@@ -30,27 +30,27 @@ class PydanticType(TypeDecorator):
     if PYDANTIC_V2:
 
         @override
-        def process_bind_param(self, value: Any | None, dialect: Dialect) -> str:
+        def process_bind_param(self, value: Any | None, dialect: Dialect) -> dict | list:
             # 将 Pydantic 模型实例转换为 JSON
             if isinstance(value, tuple(self.models)):
-                return value.model_dump_json(by_alias=True)  # type: ignore[union-attr]
+                return value.model_dump(mode='json', by_alias=True)  # type: ignore[union-attr]
             raise TypeError
     else:
 
         @override
-        def process_bind_param(self, value: Any | None, dialect: Dialect) -> str:
+        def process_bind_param(self, value: Any | None, dialect: Dialect) -> dict | list:
             # 将 Pydantic 模型实例转换为 JSON
             if isinstance(value, tuple(self.models)):
-                return value.json(by_alias=True)  # type: ignore[union-attr]
+                return value.dict(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):
+        if isinstance(value, dict | list):
             for i in self.models:
                 try:
-                    return type_validate_json(i, value)
+                    return type_validate_python(i, value)
                 except ValidationError:  # noqa: PERF203
                     ...
         raise ValueError
@@ -65,17 +65,22 @@ class PydanticType(TypeDecorator):
 
 
 class Bind(MappedAsDataclass, Model):
+    __tablename__ = 'nb_t_bind'
+
     id: Mapped[int] = mapped_column(init=False, primary_key=True)
     user_id: Mapped[int] = mapped_column(index=True)
     game_platform: Mapped[GameType] = mapped_column(String(32))
     game_account: Mapped[str]
+    verify: Mapped[bool]
 
 
-class TriggerHistoricalData(MappedAsDataclass, Model):
+class TriggerHistoricalDataV2(MappedAsDataclass, Model):
+    __tablename__ = 'nb_t_trigger_hist_v2'
+
     id: Mapped[int] = mapped_column(init=False, primary_key=True)
     trigger_time: Mapped[datetime] = mapped_column(DateTime)
     session_persist_id: Mapped[int]
     game_platform: Mapped[GameType] = mapped_column(String(32), index=True)
-    command_type: Mapped[CommandType | Literal['rank']] = mapped_column(String(16), index=True)
+    command_type: Mapped[AllCommandType] = mapped_column(String(16), index=True)
     command_args: Mapped[list[str]] = mapped_column(JSON)
     finish_time: Mapped[datetime] = mapped_column(DateTime)

nonebot_plugin_tetris_stats/games/__init__.py

@@ -7,17 +7,20 @@ from nonebot.typing import T_Handler
 from nonebot_plugin_alconna import AlcMatches, Alconna, At, CommandMeta, on_alconna
 
 from .. import ns
+from ..i18n import Lang
 from ..utils.exception import MessageFormatError, NeedCatchError
 
-alc = on_alconna(
-    Alconna(
-        ['tetris-stats', 'tstats'],
-        namespace=ns,
-        meta=CommandMeta(
-            description='俄罗斯方块相关游戏数据查询',
-            fuzzy_match=True,
-        ),
+command: Alconna = Alconna(
+    ['tetris-stats', 'tstats'],
+    namespace=ns,
+    meta=CommandMeta(
+        description='俄罗斯方块相关游戏数据查询',
+        fuzzy_match=True,
     ),
+)
+
+alc = on_alconna(
+    command=command,
     skip_for_unmatch=False,
     auto_send_output=True,
     use_origin=True,
@@ -28,7 +31,7 @@ def add_block_handlers(handler: Callable[[T_Handler], T_Handler]) -> None:
     @handler
     async def _(bot: Bot, matcher: Matcher, target: At):
         if isinstance(target, At) and target.target == bot.self_id:
-            await matcher.finish('不能查询bot的信息')
+            await matcher.finish(Lang.interaction.wrong.query_bot())
 
 
 from . import tetrio, top, tos  # noqa: F401, E402
@@ -41,10 +44,10 @@ async def _(matcher: Matcher, account: MessageFormatError):
 
 @alc.handle()
 async def _(matcher: Matcher, matches: AlcMatches):
-    if matches.head_matched and matches.options != {} or matches.main_args == {}:
+    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'
+            + Lang.help.usage(command=matches.header_result)
         )
 
 

nonebot_plugin_tetris_stats/games/constant.py

@@ -1,3 +0,0 @@
-BIND_COMMAND: list[str] = ['绑定', 'bind']
-QUERY_COMMAND: list[str] = ['查', '查询', 'query', 'stats']
-CANT_VERIFY_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'

nonebot_plugin_tetris_stats/games/schemas.py

@@ -1,23 +1,28 @@
 from abc import ABC, abstractmethod
+from typing import Generic, TypeVar
 
 from pydantic import BaseModel
+from typing_extensions import override
 
-from ..utils.typing import GameType
+from ..utils.typedefs import GameType
+
+T = TypeVar('T', bound=GameType)
 
 
-class Base(BaseModel):
-    platform: GameType
-
-
-class BaseUser(ABC, Base):
+class BaseUser(BaseModel, ABC, Generic[T]):
     """游戏用户"""
 
-    def __eq__(self, __value: object) -> bool:
-        if isinstance(__value, BaseUser):
-            return self.unique_identifier == __value.unique_identifier
+    platform: T
+
+    @override
+    def __eq__(self, other: object) -> bool:
+        if isinstance(other, BaseUser):
+            return self.unique_identifier == other.unique_identifier
         return False
 
     @property
     @abstractmethod
     def unique_identifier(self) -> str:
         raise NotImplementedError
+
+    __hash__ = BaseModel.__hash__

nonebot_plugin_tetris_stats/games/tetrio/__init__.py

@@ -1,13 +1,10 @@
-from arclet.alconna import Arg, ArgFlag, Args, Option, Subcommand
-from nonebot_plugin_alconna import At
+from nonebot_plugin_alconna import Subcommand
 
 from ...utils.exception import MessageFormatError
-from ...utils.typing import Me
-from .. import add_block_handlers, alc
+from .. import alc
+from .. import command as main_command
 from .api import Player
-from .api.typing import ValidRank
 from .constant import USER_ID, USER_NAME
-from .typing import Template
 
 
 def get_player(user_id_or_name: str) -> Player | MessageFormatError:
@@ -18,71 +15,26 @@ def get_player(user_id_or_name: str) -> Player | MessageFormatError:
     return MessageFormatError('用户名/ID不合法')
 
 
-alc.command.add(
-    Subcommand(
-        'TETR.IO',
-        Subcommand(
-            'bind',
-            Args(
-                Arg(
-                    'account',
-                    get_player,
-                    notice='TETR.IO 用户名 / ID',
-                    flags=[ArgFlag.HIDDEN],
-                )
-            ),
-            help_text='绑定 TETR.IO 账号',
-        ),
-        Subcommand(
-            'query',
-            Args(
-                Arg(
-                    'target',
-                    At | Me,
-                    notice='@想要查询的人 / 自己',
-                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
-                ),
-                Arg(
-                    'account',
-                    get_player,
-                    notice='TETR.IO 用户名 / ID',
-                    flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
-                ),
-            ),
-            Option(
-                '--template',
-                Arg('template', Template),
-                alias=['-T'],
-                help_text='要使用的查询模板',
-            ),
-            help_text='查询 TETR.IO 游戏信息',
-        ),
-        Subcommand(
-            'rank',
-            Args(Arg('rank', ValidRank, notice='TETR.IO 段位')),
-            help_text='查询 TETR.IO 段位信息',
-        ),
-        Subcommand(
-            'config',
-            Option(
-                '--default-template',
-                Arg('template', Template),
-                alias=['-DT', 'DefaultTemplate'],
-            ),
-        ),
-        dest='TETRIO',
-        help_text='TETR.IO 游戏相关指令',
-    )
+command = Subcommand(
+    'TETR.IO',
+    alias=['TETRIO', 'tetr.io', 'tetrio', 'io'],
+    dest='TETRIO',
+    help_text='TETR.IO 游戏相关指令',
 )
 
-alc.shortcut('(?i:io)(?i:绑定|绑|bind)', {'command': 'tstats TETR.IO bind', 'humanized': 'io绑定'})
-alc.shortcut('(?i:io)(?i:查询|查|query|stats)', {'command': 'tstats TETR.IO query', 'humanized': 'io查'})
-alc.shortcut('(?i:io)(?i:配置|配|config)', {'command': 'tstats TETR.IO config', 'humanized': 'io配置'})
 
-alc.shortcut(
-    'fkosk', {'command': 'tstats TETR.IO query', 'args': ['我'], 'fuzzy': False, 'humanized': 'An Easter egg!'}
-)
+from . import bind, config, list, query, rank, record, unbind, verify  # noqa: A004, E402
 
-add_block_handlers(alc.assign('TETRIO.query'))
+main_command.add(command)
 
-from . import bind, config, query, rank  # noqa: F401, E402
+__all__ = [
+    'alc',
+    'bind',
+    'config',
+    'list',
+    'query',
+    'rank',
+    'record',
+    'unbind',
+    'verify',
+]

nonebot_plugin_tetris_stats/games/tetrio/api/__init__.py

@@ -1,7 +1,5 @@
 from .player import Player
 from .schemas.user import User
 from .schemas.user_info import UserInfoSuccess
-from .schemas.user_records import UserRecordsSuccess
-from .tetra_league import full_export as tetra_league_full_export
 
-__all__ = ['Player', 'User', 'UserInfoSuccess', 'UserRecordsSuccess', 'tetra_league_full_export']
+__all__ = ['Player', 'User', 'UserInfoSuccess']

nonebot_plugin_tetris_stats/games/tetrio/api/cache.py

@@ -1,31 +1,38 @@
 from asyncio import Lock
-from datetime import datetime, timezone
+from datetime import datetime, timedelta, timezone
 from typing import ClassVar
 from weakref import WeakValueDictionary
 
 from aiocache import Cache as ACache  # type: ignore[import-untyped]
 from nonebot.compat import type_validate_json
 from nonebot.log import logger
+from yarl import URL
 
+from ....config.config import config
+from ....utils.limit import limit
 from ....utils.request import Request
 from .schemas.base import FailedModel, SuccessModel
 
 UTC = timezone.utc
 
 
+request = Request(config.tetris.proxy.tetrio or config.tetris.proxy.main)
+request.request = limit(timedelta(seconds=1))(request.request)  # type: ignore[method-assign]  # pyright: ignore[reportAttributeAccessIssue]
+
+
 class Cache:
     cache = ACache(ACache.MEMORY)
-    task: ClassVar[WeakValueDictionary[str, Lock]] = WeakValueDictionary()
+    task: ClassVar[WeakValueDictionary[URL, Lock]] = WeakValueDictionary()
 
     @classmethod
-    async def get(cls, url: str) -> bytes:
+    async def get(cls, url: URL, extra_headers: dict | None = None) -> bytes:
         lock = cls.task.setdefault(url, Lock())
         async with lock:
             if (cached_data := await cls.cache.get(url)) is not None:
                 logger.debug(f'{url}: Cache hit!')
                 return cached_data
-            response_data = await Request.request(url)
-            parsed_data: SuccessModel | FailedModel = type_validate_json(SuccessModel | FailedModel, response_data)  # type: ignore[arg-type]
+            response_data = await request.request(url, extra_headers, enable_anti_cloudflare=True)
+            parsed_data: SuccessModel | FailedModel = type_validate_json(SuccessModel | FailedModel, response_data)  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
             if isinstance(parsed_data, SuccessModel):
                 await cls.cache.add(
                     url,

nonebot_plugin_tetris_stats/games/tetrio/api/leaderboards.py

@@ -0,0 +1,93 @@
+from typing import Literal, overload
+from uuid import UUID
+
+from nonebot import __version__ as __nonebot_version__
+from nonebot.compat import type_validate_json
+from yarl import URL
+
+from ....utils.exception import RequestError
+from ....version import __version__
+from ..constant import BASE_URL
+from .cache import Cache
+from .schemas.base import FailedModel
+from .schemas.leaderboards import Parameter
+from .schemas.leaderboards.by import By, BySuccessModel
+from .schemas.leaderboards.solo import Solo, SoloSuccessModel
+from .schemas.leaderboards.zenith import Zenith, ZenithSuccessModel
+
+
+async def by(
+    by_type: Literal['league', 'xp', 'ar'], parameter: Parameter, x_session_id: UUID | None = None
+) -> BySuccessModel:
+    model: By = type_validate_json(
+        By,  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
+        await get(
+            BASE_URL / f'users/by/{by_type}',
+            parameter,
+            {
+                'X-Session-ID': str(x_session_id),
+                'User-Agent': f'nonebot-plugin-tetris-stats/{__version__} (Windows NT 10.0; Win64; x64) NoneBot2/{__nonebot_version__}',
+            }
+            if x_session_id is not None
+            else None,
+        ),
+    )
+    if isinstance(model, FailedModel):
+        msg = f'排行榜信息请求错误:\n{model.error}'
+        raise RequestError(msg)
+    return model
+
+
+@overload
+async def records(
+    records_type: Literal['40l', 'blitz'],
+    scope: str = '_global',
+    revolution_id: str | None = None,
+    *,
+    parameter: Parameter,
+) -> SoloSuccessModel: ...
+
+
+@overload
+async def records(
+    records_type: Literal['zenith', 'zenithex'],
+    scope: str = '_global',
+    revolution_id: str | None = None,
+    *,
+    parameter: Parameter,
+) -> ZenithSuccessModel: ...
+
+
+async def records(
+    records_type: Literal['40l', 'blitz', 'zenith', 'zenithex'],
+    scope: str = '_global',
+    revolution_id: str | None = None,
+    *,
+    parameter: Parameter,
+) -> SoloSuccessModel | ZenithSuccessModel:
+    model: Solo | Zenith
+    match records_type:
+        case '40l' | 'blitz':
+            model = type_validate_json(
+                Solo,  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
+                await get(
+                    BASE_URL / 'records' / f'{records_type}{scope}{revolution_id if revolution_id is not None else ""}',
+                    parameter,
+                ),
+            )
+        case 'zenith' | 'zenithex':
+            model = type_validate_json(
+                Zenith,  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
+                await get(
+                    BASE_URL / 'records' / f'{records_type}{scope}{revolution_id if revolution_id is not None else ""}',
+                    parameter,
+                ),
+            )
+    if isinstance(model, FailedModel):
+        msg = f'排行榜信息请求错误:\n{model.error}'
+        raise RequestError(msg)
+    return model
+
+
+async def get(url: URL, parameter: Parameter, extra_headers: dict | None = None) -> bytes:
+    return await Cache.get(url % parameter.to_params(), extra_headers)

nonebot_plugin_tetris_stats/games/tetrio/api/models.py

@@ -7,11 +7,14 @@ from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
 
 from ....db.models import PydanticType
 from .schemas.base import SuccessModel
+from .typedefs import Records, Summaries
 
 
 class TETRIOHistoricalData(MappedAsDataclass, Model):
+    __tablename__ = 'nb_t_io_hist_data'
+
     id: Mapped[int] = mapped_column(init=False, primary_key=True)
     user_unique_identifier: Mapped[str] = mapped_column(String(24), index=True)
-    api_type: Mapped[Literal['User Info', 'User Records']] = mapped_column(String(16), index=True)
+    api_type: Mapped[Literal['User Info', Records, Summaries]] = mapped_column(String(32), index=True)
     data: Mapped[SuccessModel] = mapped_column(PydanticType(get_model=[SuccessModel.__subclasses__], models=set()))
     update_time: Mapped[datetime] = mapped_column(DateTime, index=True)

nonebot_plugin_tetris_stats/games/tetrio/api/player.py

@@ -1,20 +1,67 @@
-from typing import overload
+from enum import Enum
+from types import MappingProxyType
+from typing import Literal, NamedTuple, cast, overload
 
+from async_lru import alru_cache
 from nonebot.compat import type_validate_json
 
 from ....db import anti_duplicate_add
 from ....utils.exception import RequestError
-from ....utils.request import splice_url
 from ..constant import BASE_URL, USER_ID, USER_NAME
 from .cache import Cache
 from .models import TETRIOHistoricalData
 from .schemas.base import FailedModel
+from .schemas.labs.leagueflow import LeagueFlow, LeagueFlowSuccess
+from .schemas.records.solo import Solo as SoloRecord
+from .schemas.records.solo import SoloSuccessModel as RecordsSoloSuccessModel
+from .schemas.summaries import (
+    AchievementsSuccessModel,
+    SummariesModel,
+    ZenithSuccessModel,
+    ZenSuccessModel,
+)
+from .schemas.summaries import (
+    SoloSuccessModel as SummariesSoloSuccessModel,
+)
+from .schemas.summaries.base import User as SummariesUser
+from .schemas.summaries.league import LeagueSuccessModel
 from .schemas.user import User
 from .schemas.user_info import UserInfo, UserInfoSuccess
-from .schemas.user_records import UserRecords, UserRecordsSuccess
+from .typedefs import Records, Summaries
+
+
+class RecordModeType(str, Enum):
+    Sprint = '40l'
+    Blitz = 'blitz'
+
+
+class RecordType(str, Enum):
+    Top = 'top'
+    Recent = 'recent'
+    Progression = 'progression'
+
+
+class RecordKey(NamedTuple):
+    mode_type: RecordModeType
+    record_type: RecordType
+
+    def to_records(self) -> Records:
+        return cast('Records', f'{self.mode_type.value}_{self.record_type.value}')
 
 
 class Player:
+    __SUMMARIES_MAPPING: MappingProxyType[Summaries, type[SummariesModel]] = MappingProxyType(
+        {
+            '40l': SummariesSoloSuccessModel,
+            'blitz': SummariesSoloSuccessModel,
+            'zenith': ZenithSuccessModel,
+            'zenithex': ZenithSuccessModel,
+            'league': LeagueSuccessModel,
+            'zen': ZenSuccessModel,
+            'achievements': AchievementsSuccessModel,
+        }
+    )
+
     @overload
     def __init__(self, *, user_id: str, trust: bool = False): ...
     @overload
@@ -36,40 +83,43 @@ class Player:
                 raise ValueError(msg)
         self.__user: User | None = None
         self._user_info: UserInfoSuccess | None = None
-        self._user_records: UserRecordsSuccess | None = None
+        self._summaries: dict[Summaries, SummariesModel] = {}
+        self._records: dict[RecordKey, RecordsSoloSuccessModel] = {}
+        self._leagueflow: LeagueFlowSuccess | None = None
 
     @property
     def _request_user_parameter(self) -> str:
-        if self.user_id is not None:
-            return self.user_id
-        if self.user_name is not None:
-            return self.user_name.lower()
-        msg = 'Invalid user'
-        raise ValueError(msg)
+        return self.user_id or cast('str', self.user_name).lower()
 
     @property
     async def user(self) -> User:
-        if self.__user is None:
+        if self.__user is not None:
+            return self.__user
+        if (user := (await self._get_local_summaries_user())) is not None:
+            self.__user = User(
+                ID=user.id,
+                name=user.username,
+            )
+        else:
             user_info = await self.get_info()
             self.__user = User(
-                ID=user_info.data.user.id,
-                name=user_info.data.user.username,
+                ID=user_info.data.id,
+                name=user_info.data.username,
             )
-            self.user_id = user_info.data.user.id
-            self.user_name = user_info.data.user.username
+        self.user_id = self.__user.ID
+        self.user_name = self.__user.name
         return self.__user
 
     async def get_info(self) -> UserInfoSuccess:
         """Get User Info"""
         if self._user_info is None:
-            raw_user_info = await Cache.get(splice_url([BASE_URL, 'users/', f'{self._request_user_parameter}']))
-            user_info: UserInfo = type_validate_json(UserInfo, raw_user_info)  # type: ignore[arg-type]
+            raw_user_info = await Cache.get(BASE_URL / 'users' / self._request_user_parameter)
+            user_info: UserInfo = type_validate_json(UserInfo, raw_user_info)  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
             if isinstance(user_info, FailedModel):
                 msg = f'用户信息请求错误:\n{user_info.error}'
                 raise RequestError(msg)
             self._user_info = user_info
             await anti_duplicate_add(
-                TETRIOHistoricalData,
                 TETRIOHistoricalData(
                     user_unique_identifier=(await self.user).unique_identifier,
                     api_type='User Info',
@@ -79,24 +129,115 @@ class Player:
             )
         return self._user_info
 
-    async def get_records(self) -> UserRecordsSuccess:
-        """Get User Records"""
-        if self._user_records is None:
-            raw_user_records = await Cache.get(
-                splice_url([BASE_URL, 'users/', f'{self._request_user_parameter}/', 'records'])
+    @overload
+    async def get_summaries(self, summaries_type: Literal['40l', 'blitz']) -> SummariesSoloSuccessModel: ...
+    @overload
+    async def get_summaries(self, summaries_type: Literal['zenith', 'zenithex']) -> ZenithSuccessModel: ...
+    @overload
+    async def get_summaries(self, summaries_type: Literal['zen']) -> ZenSuccessModel: ...
+    @overload
+    async def get_summaries(self, summaries_type: Literal['league']) -> LeagueSuccessModel: ...
+    @overload
+    async def get_summaries(self, summaries_type: Literal['achievements']) -> AchievementsSuccessModel: ...
+
+    async def get_summaries(self, summaries_type: Summaries) -> SummariesModel:
+        if summaries_type not in self._summaries:
+            raw_summaries = await Cache.get(
+                BASE_URL / 'users' / self._request_user_parameter / 'summaries' / summaries_type
             )
-            user_records: UserRecords = type_validate_json(UserRecords, raw_user_records)  # type: ignore[arg-type]
-            if isinstance(user_records, FailedModel):
-                msg = f'用户Solo数据请求错误:\n{user_records.error}'
+            summaries: SummariesModel | FailedModel = type_validate_json(
+                self.__SUMMARIES_MAPPING[summaries_type] | FailedModel,  # type: ignore[assignment, arg-type]  # pyright: ignore[reportArgumentType]  #! waiting for [PEP 747](https://peps.python.org/pep-0747/)
+                raw_summaries,
+            )
+            if isinstance(summaries, FailedModel):
+                msg = f'用户Summaries数据请求错误:\n{summaries.error}'
                 raise RequestError(msg)
-            self._user_records = user_records
+            self._summaries[summaries_type] = summaries
             await anti_duplicate_add(
-                TETRIOHistoricalData,
                 TETRIOHistoricalData(
                     user_unique_identifier=(await self.user).unique_identifier,
-                    api_type='User Records',
-                    data=user_records,
-                    update_time=user_records.cache.cached_at,
+                    api_type=summaries_type,
+                    data=summaries,
+                    update_time=summaries.cache.cached_at,
                 ),
             )
-        return self._user_records
+        return self._summaries[summaries_type]
+
+    async def get_leagueflow(self) -> LeagueFlowSuccess:
+        if self._leagueflow is None:
+            leagueflow: LeagueFlow = type_validate_json(
+                LeagueFlow,  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
+                await Cache.get(BASE_URL / 'labs/leagueflow' / self._request_user_parameter),
+            )
+            if isinstance(leagueflow, FailedModel):
+                msg = f'League 历史记录请求错误:\n{leagueflow.error}'
+                raise RequestError(msg)
+            self._leagueflow = leagueflow
+        return self._leagueflow
+
+    @property
+    async def sprint(self) -> SummariesSoloSuccessModel:
+        return await self.get_summaries('40l')
+
+    @property
+    async def blitz(self) -> SummariesSoloSuccessModel:
+        return await self.get_summaries('blitz')
+
+    @property
+    async def zen(self) -> ZenSuccessModel:
+        return await self.get_summaries('zen')
+
+    @property
+    async def league(self) -> LeagueSuccessModel:
+        return await self.get_summaries('league')
+
+    async def _get_local_summaries_user(self) -> SummariesUser | None:
+        allow_summaries: set[Literal['40l', 'blitz', 'zenith', 'zenithex']] = {
+            '40l',
+            'blitz',
+            'zenith',
+            'zenithex',
+        }
+        if has_summaries := (allow_summaries & self._summaries.keys()):
+            for i in has_summaries:
+                if (record := (await self.get_summaries(i)).data.record) is not None:
+                    return record.user
+        return None
+
+    @property
+    @alru_cache
+    async def avatar_revision(self) -> int | None:
+        if self._user_info is not None:
+            return self._user_info.data.avatar_revision
+        if (user := (await self._get_local_summaries_user())) is not None:
+            return user.avatar_revision
+        return (await self.get_info()).data.avatar_revision
+
+    @property
+    @alru_cache
+    async def banner_revision(self) -> int | None:
+        if self._user_info is not None:
+            return self._user_info.data.banner_revision
+        if (user := (await self._get_local_summaries_user())) is not None:
+            return user.banner_revision
+        return (await self.get_info()).data.banner_revision
+
+    async def get_records(self, mode_type: RecordModeType, records_type: RecordType) -> RecordsSoloSuccessModel:
+        if (record_key := RecordKey(mode_type, records_type)) not in self._records:
+            raw_records = await Cache.get(
+                BASE_URL / 'users' / self._request_user_parameter / 'records' / mode_type / records_type,
+            )
+            records: RecordsSoloSuccessModel | FailedModel = type_validate_json(SoloRecord, raw_records)  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
+            if isinstance(records, FailedModel):
+                msg = f'用户Summaries数据请求错误:\n{records.error}'
+                raise RequestError(msg)
+            self._records[record_key] = records
+            await anti_duplicate_add(
+                TETRIOHistoricalData(
+                    user_unique_identifier=(await self.user).unique_identifier,
+                    api_type=record_key.to_records(),
+                    data=records,
+                    update_time=records.cache.cached_at,
+                ),
+            )
+        return self._records[record_key]

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/base.py

@@ -1,20 +0,0 @@
-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/games/tetrio/api/schemas/base/__init__.py

@@ -0,0 +1,83 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from ...typedefs import Prisecter
+
+
+class AggregateStats(BaseModel):
+    apm: float
+    pps: float
+    vsscore: float
+
+
+class Finesse(BaseModel):
+    combo: int
+    faults: int
+    perfectpieces: int
+
+
+class Clears(BaseModel):
+    singles: int
+    doubles: int
+    triples: int
+    quads: int
+    realtspins: int
+    minitspins: int
+    minitspinsingles: int
+    tspinsingles: int
+    minitspindoubles: int
+    tspindoubles: int
+    tspintriples: int
+    tspinquads: int
+    allclear: int
+
+
+class Garbage(BaseModel):
+    sent: int
+    received: int
+    attack: int | None
+    cleared: int
+
+
+class P(BaseModel):
+    pri: float
+    sec: float
+    ter: float
+
+    def to_prisecter(self) -> Prisecter:
+        return Prisecter(f'{self.pri}:{self.sec}:{self.ter}')
+
+
+# fmt: off
+class ArCounts(BaseModel):
+    bronze:   int | None = Field(default=None, alias='1')
+    silver:   int | None = Field(default=None, alias='2')
+    gold:     int | None = Field(default=None, alias='3')
+    platinum: int | None = Field(default=None, alias='4')
+    diamond:  int | None = Field(default=None, alias='5')
+    issued:   int | None = Field(default=None, alias='100')
+    top3:     int | None = Field(default=None, alias='t3')
+    top5:     int | None = Field(default=None, alias='t5')
+    top10:    int | None = Field(default=None, alias='t10')
+    top25:    int | None = Field(default=None, alias='t25')
+    top50:    int | None = Field(default=None, alias='t50')
+    top100:   int | None = Field(default=None, alias='t100')
+# fmt: on
+
+
+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/games/tetrio/api/schemas/base/solo.py

@@ -0,0 +1,65 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from ..base import P
+from . import AggregateStats, Clears, Finesse, Garbage
+
+
+class Time(BaseModel):
+    start: int
+    zero: bool
+    locked: bool
+    prev: int
+    frameoffset: int | None = None
+
+
+class Stats(BaseModel):
+    seed: float | None = None  # ?: 不知道是之后都没有了还是还会有
+    lines: int
+    level_lines: int
+    level_lines_needed: int
+    inputs: int
+    holds: int = 0
+    time: Time | None = None  # ?: 不知道是之后都没有了还是还会有
+    score: int
+    zenlevel: int | None = None
+    zenprogress: int | None = None
+    level: int
+    combo: int
+    currentcombopower: int | None = None
+    topcombo: int
+    btb: int
+    topbtb: int
+    currentbtbchainpower: int | None = None
+    tspins: int
+    piecesplaced: int
+    clears: Clears
+    garbage: Garbage
+    kills: int
+    finesse: Finesse
+    finaltime: float
+
+
+class Results(BaseModel):
+    aggregatestats: AggregateStats
+    stats: Stats
+    gameoverreason: str
+
+
+class Record(BaseModel):
+    id: str = Field(..., alias='_id')
+    replayid: str
+    stub: bool
+    gamemode: Literal['40l', 'blitz']
+    pb: bool
+    oncepb: bool
+    ts: datetime
+    revolution: None
+    otherusers: list
+    leaderboards: list[str]
+    results: Results
+    extras: dict
+    disputed: bool
+    p: P

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/labs/leagueflow.py

@@ -0,0 +1,43 @@
+from datetime import datetime
+from enum import IntEnum
+from typing import Literal, NamedTuple
+
+from pydantic import BaseModel, Field
+
+from ..base import FailedModel
+from ..base import SuccessModel as BaseSuccessModel
+
+
+class Result(IntEnum):
+    VICTORY = 1
+    DEFEAT = 2
+    VICTORY_BY_DISQUALIFICATION = 3
+    DEFEAT_BY_DISQUALIFICATION = 4
+    TIE = 5
+    NO_CONTEST = 6
+    MATCH_NULLIFIED = 7
+
+
+class Point(NamedTuple):
+    timestamp_offset: int
+    result: Result
+    post_match_tr: int
+    opponent_pre_match_tr: int
+    """If the opponent was unranked, same as post_match_tr."""
+
+
+class Data(BaseModel):
+    start_time: datetime = Field(..., alias='startTime')
+    points: list[Point] = Field(..., min_length=1)
+
+
+class Empty(BaseModel):
+    start_time: Literal[9007199254740991] = Field(..., alias='startTime')
+    points: list = Field(..., max_length=0)
+
+
+class LeagueFlowSuccess(BaseSuccessModel):
+    data: Data | Empty
+
+
+LeagueFlow = LeagueFlowSuccess | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/leaderboards/__init__.py

@@ -0,0 +1,18 @@
+from typing import Any
+
+from nonebot.compat import PYDANTIC_V2
+from pydantic import BaseModel, Field
+
+from ...typedefs import Prisecter
+
+
+class Parameter(BaseModel):
+    after: Prisecter | None = None
+    before: Prisecter | None = None
+    limit: int = Field(default=25, ge=1, le=100)
+    country: str | None = None
+
+    def to_params(self) -> dict[str, Any]:
+        if PYDANTIC_V2:
+            return self.model_dump(exclude_defaults=True)
+        return self.dict(exclude_defaults=True)

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/leaderboards/by.py

@@ -0,0 +1,66 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from ...typedefs import Rank, ValidRank
+from ..base import ArCounts, FailedModel, P, SuccessModel
+
+
+class BaseLeague(BaseModel):
+    gamesplayed: int
+    gameswon: int
+    tr: float
+    gxe: float
+    rank: Rank
+    bestrank: ValidRank
+    glicko: float
+    rd: float
+    decaying: bool
+
+
+class InvalidLeague(BaseLeague):
+    pps: float | None
+    apm: None
+    vs: None
+
+
+class League(BaseLeague):
+    pps: float
+    apm: float
+    vs: float
+
+
+class BaseEntry(BaseModel):
+    id: str = Field(..., alias='_id')
+    username: str
+    role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop']
+    ts: datetime | None = None
+    xp: float
+    country: str | None = None
+    supporter: bool | None = None
+    gamesplayed: int
+    gameswon: int
+    gametime: float
+    ar: int
+    ar_counts: ArCounts
+    p: P
+
+
+class InvalidEntry(BaseEntry):
+    league: InvalidLeague
+
+
+class Entry(BaseEntry):
+    league: League
+
+
+class Data(BaseModel):
+    entries: list[Entry | InvalidEntry]
+
+
+class BySuccessModel(SuccessModel):
+    data: Data
+
+
+By = BySuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/leaderboards/solo.py

@@ -0,0 +1,15 @@
+from pydantic import BaseModel
+
+from ..base import FailedModel, SuccessModel
+from ..summaries.solo import Record
+
+
+class Data(BaseModel):
+    entries: list[Record]
+
+
+class SoloSuccessModel(SuccessModel):
+    data: Data
+
+
+Solo = SoloSuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/leaderboards/zenith.py

@@ -0,0 +1,15 @@
+from pydantic import BaseModel
+
+from ..base import FailedModel, SuccessModel
+from ..summaries.zenith import Record
+
+
+class Data(BaseModel):
+    entries: list[Record]
+
+
+class ZenithSuccessModel(SuccessModel):
+    data: Data
+
+
+Zenith = ZenithSuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/records/solo.py

@@ -0,0 +1,17 @@
+from typing import TypeAlias
+
+from pydantic import BaseModel
+
+from ..base import FailedModel, SuccessModel
+from ..base.solo import Record
+
+
+class Data(BaseModel):
+    entries: list[Record]
+
+
+class SoloSuccessModel(SuccessModel):
+    data: Data
+
+
+Solo: TypeAlias = SoloSuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/__init__.py

@@ -0,0 +1,21 @@
+from .achievements import Achievements, AchievementsSuccessModel
+from .league import LeagueSuccessModel
+from .solo import Solo, SoloSuccessModel
+from .zen import Zen, ZenSuccessModel
+from .zenith import Zenith, ZenithEx, ZenithSuccessModel
+
+SummariesModel = AchievementsSuccessModel | SoloSuccessModel | ZenSuccessModel | LeagueSuccessModel | ZenithSuccessModel
+
+__all__ = [
+    'Achievements',
+    'AchievementsSuccessModel',
+    'LeagueSuccessModel',
+    'Solo',
+    'SoloSuccessModel',
+    'SummariesModel',
+    'Zen',
+    'ZenSuccessModel',
+    'Zenith',
+    'ZenithEx',
+    'ZenithSuccessModel',
+]

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/achievements.py

@@ -0,0 +1,98 @@
+from datetime import datetime
+from enum import IntEnum
+from typing import Literal, TypeAlias
+
+from pydantic import BaseModel, Field
+
+from ..base import FailedModel, SuccessModel
+
+
+class RankType(IntEnum):
+    PERCENTILE = 1
+    ISSUE = 2
+    ZENITH = 3
+    PERCENTILELAX = 4
+    PERCENTILEVLAX = 5
+    PERCENTILEMLAX = 6
+    PERCENTILEINVARIANT = 7
+
+
+class ValueType(IntEnum):
+    NONE = 0
+    NUMBER = 1
+    TIME = 2
+    TIME_INV = 3
+    FLOOR = 4
+    ISSUE = 5
+    NUMBER_INV = 6
+
+
+class ArType(IntEnum):
+    UNRANKED = 0
+    RANKED = 1
+    COMPETITIVE = 2
+
+
+class Rank(IntEnum):
+    NONE = 0
+    BRONZE = 1
+    SILVER = 2
+    GOLD = 3
+    PLATINUM = 4
+    DIAMOND = 5
+    ISSUED = 100
+
+
+class Ally(BaseModel):
+    id: str = Field(alias='_id')
+    username: str
+    role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'hidden', 'banned']
+    country: str | None = None
+    supporter: bool
+    avatar_revision: int | None = None
+
+
+class X(BaseModel):
+    ally: Ally | None = None
+
+
+class Achievement(BaseModel):
+    # 这**都是些啥
+    achievement_id: int = Field(alias='k')
+    category: str
+    primary_name: str = Field(alias='name')
+    objective: str = Field(alias='object')
+    flavor_text: str = Field(alias='desc')
+    order: int = Field(alias='o')
+    rank_type: RankType = Field(alias='rt')
+    value_type: ValueType = Field(alias='vt')
+    ar_type: ArType = Field(alias='art')
+    min: int
+    deci: int
+    hidden: bool
+    nolb: bool
+    event: str | None = None
+    event_past: bool | None = None
+    disabled: bool | None = None
+    pair: bool | None = None
+    achieved_score: float | None = Field(None, alias='v')
+    a: float | None = None
+    t: datetime | None = None
+    pos: int | None = None
+    total: int | None = None
+    rank: Rank | None = None
+    x: X | None = None
+    n: str
+
+    tiebreak: int
+    notifypb: bool
+    id: str | None = Field(None, alias='_id')
+    progress: float | None = None
+    stub: bool | None = None
+
+
+class AchievementsSuccessModel(SuccessModel):
+    data: list[Achievement]
+
+
+Achievements: TypeAlias = AchievementsSuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/base.py

@@ -0,0 +1,10 @@
+from pydantic import BaseModel
+
+
+class User(BaseModel):
+    id: str
+    username: str
+    avatar_revision: int | None
+    banner_revision: int | None
+    country: str | None
+    supporter: int

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/league.py

@@ -0,0 +1,130 @@
+from typing import Literal
+
+from nonebot.compat import PYDANTIC_V2
+from pydantic import BaseModel, Field
+
+from ...typedefs import Rank, S1Rank, S1ValidRank
+from ..base import SuccessModel
+
+if PYDANTIC_V2:
+    from pydantic import field_validator
+else:
+    from pydantic import validator
+
+
+class PastInner(BaseModel):
+    season: str
+    username: str
+    country: str | None = None
+    placement: int | None = None
+    gamesplayed: int
+    gameswon: int
+    glicko: float
+    gxe: float
+    tr: float
+    rd: float
+    rank: S1Rank
+    bestrank: S1ValidRank
+    ranked: bool
+    apm: float
+    pps: float
+    vs: float
+
+
+class Past(BaseModel):
+    first: PastInner | None = Field(default=None, alias='1')
+
+
+class BaseData(BaseModel):
+    decaying: bool
+    past: Past
+
+
+class NeverPlayedData(BaseData):
+    gamesplayed: Literal[0]
+    gameswon: Literal[0]
+    glicko: Literal[-1]
+    rd: Literal[-1]
+    gxe: Literal[-1]
+    tr: Literal[-1]
+    rank: Literal['z']
+    apm: None = None
+    pps: None = None
+    vs: None = None
+    standing: Literal[-1]
+    standing_local: Literal[-1]
+    prev_rank: None
+    prev_at: Literal[-1]
+    next_rank: None
+    next_at: Literal[-1]
+    percentile: Literal[-1]
+    percentile_rank: Literal['z']
+
+
+class NeverRatedData(BaseData):
+    gamesplayed: Literal[1, 2, 3, 4, 5, 6, 7, 8, 9]
+    gameswon: int
+    glicko: Literal[-1]
+    rd: Literal[-1]
+    gxe: Literal[-1]
+    tr: Literal[-1]
+    apm: float
+    pps: float
+    vs: float
+    rank: Literal['z']
+    standing: Literal[-1]
+    standing_local: Literal[-1]
+    prev_rank: None
+    prev_at: Literal[-1]
+    next_rank: None
+    next_at: Literal[-1]
+    percentile: Literal[-1]
+    percentile_rank: Literal['z']
+
+    if PYDANTIC_V2:
+
+        @field_validator('apm', 'pps', 'vs', mode='before')
+        @classmethod
+        def _(cls, value: float | None) -> float:
+            if value is None:
+                return 0
+            return value
+
+    else:
+
+        @validator('apm', 'pps', 'vs', pre=True, always=True)
+        @classmethod
+        def _(cls, value: float | None) -> float:
+            if value is None:
+                return 0
+            return value
+
+
+class RatedData(BaseData):
+    gamesplayed: int
+    gameswon: int
+    glicko: float
+    rd: float
+    gxe: float
+    tr: float
+    rank: Rank
+    bestrank: Rank
+    standing: int
+    apm: float
+    pps: float
+    vs: float
+    standing_local: int
+    prev_rank: Rank | None = None
+    prev_at: int
+    next_rank: Rank | None = None
+    next_at: int
+    percentile: float
+    percentile_rank: str
+
+
+class InvalidData(BaseModel):
+    """I don't know what osk is doing, but the return value is an empty dictionary"""
+
+
+class LeagueSuccessModel(SuccessModel):
+    data: NeverPlayedData | NeverRatedData | RatedData | InvalidData

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/solo.py

@@ -0,0 +1,24 @@
+from typing import TypeAlias
+
+from pydantic import BaseModel
+
+from ..base import FailedModel, SuccessModel
+from ..base.solo import Record as BaseRecord
+from .base import User
+
+
+class Record(BaseRecord):
+    user: User
+
+
+class Data(BaseModel):
+    record: Record | None
+    rank: int
+    rank_local: int
+
+
+class SoloSuccessModel(SuccessModel):
+    data: Data
+
+
+Solo: TypeAlias = SoloSuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/zen.py

@@ -0,0 +1,17 @@
+from typing import TypeAlias
+
+from pydantic import BaseModel
+
+from ..base import FailedModel, SuccessModel
+
+
+class Data(BaseModel):
+    level: int
+    score: int
+
+
+class ZenSuccessModel(SuccessModel):
+    data: Data
+
+
+Zen: TypeAlias = ZenSuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/summaries/zenith.py

@@ -0,0 +1,116 @@
+from datetime import datetime
+from typing import Literal, TypeAlias
+
+from pydantic import BaseModel, Field
+
+from ..base import AggregateStats, FailedModel, Finesse, P, SuccessModel
+from ..base import Clears as BaseClears
+from ..base import Garbage as BaseGarbage
+from .base import User
+
+
+class Clears(BaseClears):
+    pentas: int
+    minitspintriples: int
+    minitspinquads: int
+    tspinpentas: int
+
+
+class Garbage(BaseGarbage):
+    sent_nomult: int
+    maxspike: int
+    maxspike_nomult: int
+
+
+class _Zenith(BaseModel):
+    altitude: float
+    rank: float
+    peakrank: float
+    avgrankpts: float
+    floor: int
+    targetingfactor: float
+    targetinggrace: float
+    totalbonus: float
+    revives: int
+    revives_total: int = Field(..., alias='revivesTotal')
+    speedrun: bool
+    speedrun_seen: bool
+    splits: list[int]
+
+
+class Stats(BaseModel):
+    lines: int
+    level_lines: int
+    level_lines_needed: int
+    inputs: int
+    holds: int
+    score: int
+    zenlevel: int
+    zenprogress: int
+    level: int
+    combo: int
+    topcombo: int
+    combopower: int
+    btb: int
+    topbtb: int
+    btbpower: int
+    tspins: int
+    piecesplaced: int
+    clears: Clears
+    garbage: Garbage
+    kills: int
+    finesse: Finesse
+    zenith: _Zenith
+    finaltime: float
+
+
+class Results(BaseModel):
+    aggregatestats: AggregateStats
+    stats: Stats
+    gameoverreason: str
+
+
+class ExtrasZenith(BaseModel):
+    mods: list[str]
+
+
+class Extras(BaseModel):
+    zenith: ExtrasZenith
+
+
+class Record(BaseModel):
+    id: str = Field(..., alias='_id')
+    replayid: str
+    stub: bool
+    gamemode: Literal['zenith', 'zenithex']
+    pb: bool
+    oncepb: bool
+    ts: datetime
+    revolution: str | None
+    user: User
+    otherusers: list
+    leaderboards: list[str]
+    results: Results
+    extras: Extras
+    disputed: bool
+    p: P
+
+
+class Best(BaseModel):
+    record: Record | None
+    rank: int
+
+
+class Data(BaseModel):
+    record: Record | None
+    rank: int
+    rank_local: int
+    best: Best
+
+
+class ZenithSuccessModel(SuccessModel):
+    data: Data
+
+
+Zenith: TypeAlias = ZenithSuccessModel | FailedModel
+ZenithEx: TypeAlias = ZenithSuccessModel | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/tetra_league.py

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

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/user.py

@@ -6,7 +6,7 @@ from ....schemas import BaseUser
 from ...constant import GAME_TYPE
 
 
-class User(BaseUser):
+class User(BaseUser[Literal['IO']]):
     platform: Literal['IO'] = GAME_TYPE
 
     ID: str

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/user_info.py

@@ -3,8 +3,7 @@ from typing import Literal
 
 from pydantic import BaseModel, Field
 
-from ..typing import Rank
-from .base import FailedModel
+from .base import ArCounts, FailedModel
 from .base import SuccessModel as BaseSuccessModel
 
 
@@ -15,84 +14,29 @@ class Badge(BaseModel):
     ts: datetime | Literal[False] | None = None
 
 
-class MetaLeague(BaseModel):
-    decaying: bool
-
-
-class NeverPlayedLeague(MetaLeague):
-    gamesplayed: Literal[0]
-    gameswon: Literal[0]
-    rating: Literal[-1]
-    rank: Literal['z']
-    standing: Literal[-1]
-    standing_local: Literal[-1]
-    next_rank: None
-    prev_rank: None
-    next_at: Literal[-1]
-    prev_at: Literal[-1]
-    percentile: Literal[-1]
-    percentile_rank: Literal['z']
-    apm: None = None
-    pps: None = None
-    vs: None = None
-
-
-class NeverRatedLeague(MetaLeague):
-    gamesplayed: Literal[1, 2, 3, 4, 5, 6, 7, 8, 9]
-    gameswon: int
-    rating: Literal[-1]
-    rank: Literal['z']
-    standing: Literal[-1]
-    standing_local: Literal[-1]
-    next_rank: None
-    prev_rank: None
-    next_at: Literal[-1]
-    prev_at: Literal[-1]
-    percentile: Literal[-1]
-    percentile_rank: Literal['z']
-    apm: float
-    pps: float
-    vs: float | None = None
-
-
-class RatedLeague(MetaLeague):
-    gamesplayed: int
-    gameswon: int
-    rating: float
-    rank: Rank
-    bestrank: Rank
-    standing: int
-    standing_local: int
-    next_rank: Rank | None = None
-    prev_rank: Rank | None = None
-    next_at: int
-    prev_at: int
-    percentile: float
-    percentile_rank: str
-    glicko: float
-    rd: float
-    apm: float
-    pps: float
-    vs: float | None = None
-
-
-class Discord(BaseModel):
+class Connection(BaseModel):
     id: str
     username: str
+    display_username: str
 
 
 class Connections(BaseModel):
-    discord: Discord | None = None
+    discord: Connection | None = None
+    twitch: Connection | None = None
+    twitter: Connection | None = None
+    reddit: Connection | None = None
+    youtube: Connection | None = None
+    steam: Connection | None = None
 
 
 class Distinguishment(BaseModel):
     type: str
 
 
-class User(BaseModel):
-    id: str = Field(..., alias='_id')
+class Data(BaseModel):
+    id: str = Field(default=..., alias='_id')
     username: str
-    role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'banned']
+    role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'hidden', 'banned']
     ts: datetime | None = None
     botmaster: str | None = None
     badges: list[Badge]
@@ -104,8 +48,6 @@ class User(BaseModel):
     badstanding: bool | None = None
     supporter: bool | None = None  # osk说是必有, 但实际上不是 fkosk
     supporter_tier: int
-    verified: bool
-    league: NeverPlayedLeague | NeverRatedLeague | RatedLeague
     avatar_revision: int | None = None
     """This user's avatar ID. Get their avatar at
 
@@ -120,10 +62,9 @@ class User(BaseModel):
     connections: Connections
     friend_count: int | None = None
     distinguishment: Distinguishment | None = None
-
-
-class Data(BaseModel):
-    user: User
+    achievements: list[int]
+    ar: int
+    ar_counts: ArCounts
 
 
 class UserInfoSuccess(BaseSuccessModel):

nonebot_plugin_tetris_stats/games/tetrio/api/schemas/user_records.py

@@ -1,122 +0,0 @@
-from datetime import datetime
-
-from pydantic import BaseModel, Field
-
-from .....utils.typing import Number
-from .base import FailedModel
-from .base import SuccessModel as BaseSuccessModel
-
-
-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 | None = None
-
-
-class Finesse(BaseModel):
-    combo: int
-    faults: int
-    perfectpieces: int
-
-
-class EndContext(BaseModel):
-    seed: Number
-    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 SoloRecord(_Record):
-    endcontext: EndContext
-
-
-class MultiRecord(_Record):
-    endcontext: list[EndContext]
-
-
-class SoloModeRecord(BaseModel):
-    record: SoloRecord | None = None
-    rank: int | None = None
-
-
-class Records(BaseModel):
-    sprint: SoloModeRecord = Field(..., alias='40l')
-    blitz: SoloModeRecord
-
-
-class Zen(BaseModel):
-    level: int
-    score: int
-
-
-class Data(BaseModel):
-    records: Records
-    zen: Zen
-
-
-class UserRecordsSuccess(BaseSuccessModel):
-    data: Data
-
-
-UserRecords = UserRecordsSuccess | FailedModel

nonebot_plugin_tetris_stats/games/tetrio/api/tetra_league.py

@@ -1,36 +0,0 @@
-from typing import Literal, NamedTuple, overload
-
-from nonebot.compat import type_validate_json
-
-from ....utils.exception import RequestError
-from ....utils.request import splice_url
-from ..constant import BASE_URL
-from .cache import Cache
-from .schemas.base import FailedModel
-from .schemas.tetra_league import TetraLeague, TetraLeagueSuccess
-
-
-class FullExport(NamedTuple):
-    model: TetraLeagueSuccess
-    original: bytes
-
-
-@overload
-async def full_export(*, with_original: Literal[False]) -> TetraLeagueSuccess: ...
-
-
-@overload
-async def full_export(*, with_original: Literal[True]) -> FullExport: ...
-
-
-async def full_export(*, with_original: bool) -> TetraLeagueSuccess | FullExport:
-    full: TetraLeague = type_validate_json(
-        TetraLeague,  # type: ignore[arg-type]
-        (data := await Cache.get(splice_url([BASE_URL, 'users/lists/league/all']))),
-    )
-    if isinstance(full, FailedModel):
-        msg = f'排行榜数据请求错误:\n{full.error}'
-        raise RequestError(msg)
-    if with_original:
-        return FullExport(full, data)
-    return full

nonebot_plugin_tetris_stats/games/tetrio/api/typedefs.py

@@ -0,0 +1,46 @@
+from typing import Literal, NewType
+
+S1ValidRank = Literal[
+    'x',
+    'u',
+    'ss',
+    's+',
+    's',
+    's-',
+    'a+',
+    'a',
+    'a-',
+    'b+',
+    'b',
+    'b-',
+    'c+',
+    'c',
+    'c-',
+    'd+',
+    'd',
+]
+S1Rank = S1ValidRank | Literal['z']
+
+ValidRank = Literal['x+'] | S1ValidRank
+Rank = ValidRank | Literal['z']  # 未定级
+
+Summaries = Literal[
+    '40l',
+    'blitz',
+    'zenith',
+    'zenithex',
+    'league',
+    'zen',
+    'achievements',
+]
+
+Records = Literal[
+    '40l_top',
+    '40l_recent',
+    '40l_progression',
+    'blitz_top',
+    'blitz_recent',
+    'blitz_progression',
+]
+
+Prisecter = NewType('Prisecter', str)

nonebot_plugin_tetris_stats/games/tetrio/api/typing.py

@@ -1,23 +0,0 @@
-from typing import Literal
-
-ValidRank = Literal[
-    'x',
-    'u',
-    'ss',
-    's+',
-    's',
-    's-',
-    'a+',
-    'a',
-    'a-',
-    'b+',
-    'b',
-    'b-',
-    'c+',
-    'c',
-    'c-',
-    'd+',
-    'd',
-]
-
-Rank = ValidRank | Literal['z']  # 未定级

nonebot_plugin_tetris_stats/games/tetrio/bind.py

@@ -1,34 +1,97 @@
 from asyncio import gather
 from hashlib import md5
-from urllib.parse import urlencode
+from secrets import choice
 
+from arclet.alconna import Arg, ArgFlag
+from nonebot_plugin_alconna import Args, Subcommand
 from nonebot_plugin_alconna.uniseg import UniMessage
 from nonebot_plugin_orm import get_session
-from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
-from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
-from nonebot_plugin_user import User  # type: ignore[import-untyped]
-from nonebot_plugin_userinfo import BotUserInfo, UserInfo  # type: ignore[import-untyped]
+from nonebot_plugin_uninfo import QryItrface, Uninfo
+from nonebot_plugin_uninfo import User as UninfoUser
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from nonebot_plugin_user import User
+from yarl import URL
 
+from ...config.config import global_config
 from ...db import BindStatus, create_or_update_bind, trigger
-from ...utils.host import HostPage, get_self_netloc
+from ...i18n import Lang
+from ...utils.host import get_self_netloc
 from ...utils.image import get_avatar
-from ...utils.render import Bind, render
+from ...utils.lang import get_lang
+from ...utils.render import render_image
 from ...utils.render.schemas.base import Avatar, People
-from ...utils.screenshot import screenshot
-from . import alc
+from ...utils.render.schemas.bind import Bind
+from . import alc, command, get_player
 from .api import Player
 from .constant import GAME_TYPE
 
+command.add(
+    Subcommand(
+        'bind',
+        Args(
+            Arg(
+                'account',
+                get_player,
+                notice='TETR.IO 用户名 / ID',
+                flags=[ArgFlag.HIDDEN],
+            )
+        ),
+        help_text='绑定 TETR.IO 账号',
+    )
+)
+
+alc.shortcut(
+    '(?i:io)(?i:绑定|绑|bind)',
+    command='tstats TETR.IO bind',
+    humanized='io绑定',
+)
+
+try:
+    from nonebot.adapters.discord import MessageCreateEvent
+
+    @alc.assign('TETRIO.bind')
+    async def _(_: MessageCreateEvent, nb_user: User, account: Player, event_session: Uninfo, interface: QryItrface):
+        async with trigger(
+            session_persist_id=await get_session_persist_id(event_session),
+            game_platform=GAME_TYPE,
+            command_type='bind',
+            command_args=[],
+        ):
+            user, user_info = await gather(account.user, account.get_info())
+            verify = (
+                user_info.data.connections.discord is not None
+                and user_info.data.connections.discord.id == event_session.user.id
+            )
+            async with get_session() as session:
+                bind_status = await create_or_update_bind(
+                    session=session,
+                    user=nb_user,
+                    game_platform=GAME_TYPE,
+                    game_account=user.unique_identifier,
+                    verify=verify,
+                )
+            if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
+                await UniMessage.image(
+                    raw=await make_bind_image(
+                        player=account,
+                        event_session=event_session,
+                        interface=interface,
+                        verify=verify,
+                    )
+                ).finish()
+except ImportError:
+    pass
+
 
 @alc.assign('TETRIO.bind')
-async def _(nb_user: User, account: Player, event_session: EventSession, bot_info: UserInfo = BotUserInfo()):  # noqa: B008
+async def _(nb_user: User, account: Player, event_session: Uninfo, interface: QryItrface):
     async with trigger(
         session_persist_id=await get_session_persist_id(event_session),
         game_platform=GAME_TYPE,
         command_type='bind',
         command_args=[],
     ):
-        user, user_info = await gather(account.user, account.get_info())
+        user = await account.user
         async with get_session() as session:
             bind_status = await create_or_update_bind(
                 session=session,
@@ -37,25 +100,45 @@ async def _(nb_user: User, account: Player, event_session: EventSession, bot_inf
                 game_account=user.unique_identifier,
             )
         if bind_status in (BindStatus.SUCCESS, BindStatus.UPDATE):
-            netloc = get_self_netloc()
-            async with HostPage(
-                await render(
-                    'v1/binding',
-                    Bind(
-                        platform='TETR.IO',
-                        status='unknown',
-                        user=People(
-                            avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
-                            if user_info.data.user.avatar_revision is not None
-                            else Avatar(type='identicon', hash=md5(user_info.data.user.id.encode()).hexdigest()),  # noqa: S324
-                            name=user_info.data.user.username.upper(),
-                        ),
-                        bot=People(
-                            avatar=await get_avatar(bot_info, 'Data URI', '../../static/logo/logo.svg'),
-                            name=bot_info.user_name,
-                        ),
-                        command='io查我',
-                    ),
+            await UniMessage.image(
+                raw=await make_bind_image(
+                    player=account,
+                    event_session=event_session,
+                    interface=interface,
+                    verify=None,
                 )
-            ) as page_hash:
-                await UniMessage.image(raw=await screenshot(f'http://{netloc}/host/{page_hash}.html')).finish()
+            ).finish()
+
+
+async def make_bind_image(
+    player: Player, event_session: Uninfo, interface: QryItrface, *, verify: bool | None = None
+) -> bytes:
+    (user, avatar_revision) = await gather(player.user, player.avatar_revision)
+    return await render_image(
+        Bind(
+            platform='TETR.IO',
+            type='unknown' if verify is None else 'success' if verify else 'unverified',
+            user=People(
+                avatar=str(
+                    URL(f'http://{get_self_netloc()}/host/resource/tetrio/avatars/{user.ID}')
+                    % {'revision': avatar_revision}
+                )
+                if avatar_revision is not None and avatar_revision != 0
+                else Avatar(type='identicon', hash=md5(user.ID.encode()).hexdigest()),  # noqa: S324
+                name=user.name.upper(),
+            ),
+            bot=People(
+                avatar=await get_avatar(
+                    (
+                        bot_user := await interface.get_user(event_session.self_id)
+                        or UninfoUser(id=event_session.self_id)
+                    ),
+                    'Data URI',
+                    '../../static/logo/logo.svg',
+                ),
+                name=bot_user.nick or bot_user.name or choice(list(global_config.nickname) or ['bot']),
+            ),
+            prompt=Lang.prompt.io_check(),
+            lang=get_lang(),
+        ),
+    )

nonebot_plugin_tetris_stats/games/tetrio/config.py

@@ -1,20 +1,71 @@
+from datetime import timedelta
+
+from arclet.alconna import Arg
+from nonebot_plugin_alconna import Option, Subcommand
 from nonebot_plugin_alconna.uniseg import UniMessage
 from nonebot_plugin_orm import async_scoped_session
-from nonebot_plugin_user import User  # type: ignore[import-untyped]
+from nonebot_plugin_uninfo import Uninfo
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from nonebot_plugin_user import User
 from sqlalchemy import select
 
-from . import alc
+from ...db import trigger
+from ...i18n import Lang
+from ...utils.duration import parse_duration
+from . import alc, command
+from .constant import GAME_TYPE
 from .models import TETRIOUserConfig
-from .typing import Template
+from .typedefs import Template
+
+command.add(
+    Subcommand(
+        'config',
+        Option(
+            '--default-template',
+            Arg('template', Template, notice='模板版本'),
+            alias=['-DT', 'DefaultTemplate'],
+            help_text='设置默认查询模板',
+        ),
+        Option(
+            '--default-compare',
+            Arg('compare', parse_duration, notice='对比时间距离'),
+            alias=['-DC', 'DefaultCompare'],
+            help_text='设置默认对比时间距离',
+        ),
+        help_text='TETR.IO 查询个性化配置',
+    ),
+)
+
+alc.shortcut(
+    '(?i:io)(?i:配置|配|config)',
+    command='tstats TETR.IO config',
+    humanized='io配置',
+)
 
 
 @alc.assign('TETRIO.config')
-async def _(user: User, session: async_scoped_session, template: Template):
-    config = (await session.scalars(select(TETRIOUserConfig).where(TETRIOUserConfig.id == user.id))).one_or_none()
-    if config is None:
-        config = TETRIOUserConfig(id=user.id, query_template=template)
-        session.add(config)
-    else:
-        config.query_template = template
-    await session.commit()
-    await UniMessage('配置成功').finish()
+async def _(
+    user: User,
+    session: async_scoped_session,
+    event_session: Uninfo,
+    template: Template | None = None,
+    compare: timedelta | None = None,
+):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='config',
+        command_args=([f'--default-template {template}'] if template is not None else [])
+        + ([f'--default-compare {compare}'] if compare is not None else []),
+    ):
+        config = (await session.scalars(select(TETRIOUserConfig).where(TETRIOUserConfig.id == user.id))).one_or_none()
+        if config is None:
+            config = TETRIOUserConfig(id=user.id, query_template=template or 'v1', compare_delta=compare)
+            session.add(config)
+        else:
+            if template is not None:
+                config.query_template = template
+            if compare is not None:
+                config.compare_delta = compare
+        await session.commit()
+        await UniMessage(Lang.bind.config_success()).finish()

nonebot_plugin_tetris_stats/games/tetrio/constant.py

@@ -1,13 +1,16 @@
-from re import compile
+from re import compile  # noqa: A004
 from typing import Literal
 
-from .api.typing import Rank
+from yarl import URL
+
+from .api.typedefs import ValidRank
 
 GAME_TYPE: Literal['IO'] = 'IO'
 
-BASE_URL = 'https://ch.tetr.io/api/'
+BASE_URL = URL('https://ch.tetr.io/api/')
 
-RANK_PERCENTILE: dict[Rank, float] = {
+RANK_PERCENTILE: dict[ValidRank, float] = {
+    'x+': 0.2,
     'x': 1,
     'u': 5,
     'ss': 11,

nonebot_plugin_tetris_stats/games/tetrio/list.py

@@ -0,0 +1,92 @@
+from nonebot_plugin_alconna import Args, Option, Subcommand
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_uninfo import Uninfo
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+
+from ...db import trigger
+from ...utils.lang import get_lang
+from ...utils.metrics import get_metrics
+from ...utils.render import render_image
+from ...utils.render.schemas.v2.tetrio.user.list import Data, List, TetraLeague, User
+from .. import alc
+from . import command
+from .api.leaderboards import by
+from .api.schemas.base import P
+from .api.schemas.leaderboards import Parameter
+from .api.schemas.leaderboards.by import Entry
+from .constant import GAME_TYPE
+
+command.add(
+    Subcommand(
+        'list',
+        Option('--max-tr', Args['max_tr', float], help_text='TR的上限'),
+        Option('--min-tr', Args['min_tr', float], help_text='TR的下限'),
+        Option('--limit', Args['limit', int], help_text='查询数量'),
+        Option('--country', Args['country', str], help_text='国家代码'),
+        help_text='查询 TETR.IO 段位排行榜',
+    )
+)
+
+
+@alc.assign('TETRIO.list')
+async def _(
+    event_session: Uninfo,
+    max_tr: float | None = None,
+    min_tr: float | None = None,
+    limit: int | None = None,
+    country: str | None = None,
+):
+    country = country.upper() if country is not None else None
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='list',
+        command_args=[
+            f'{key} {value}'
+            for key, value in zip(
+                ('--max-tr', '--min-tr', '--limit', '--country'), (max_tr, min_tr, limit, country), strict=True
+            )
+            if value is not None
+        ],
+    ):
+        parameter = Parameter(
+            # ?: 似乎是只需要 pri 至少 league 榜的返回值只有 pri
+            after=P(pri=max_tr, sec=0, ter=0).to_prisecter() if max_tr is not None else None,
+            before=P(pri=min_tr, sec=0, ter=0).to_prisecter() if min_tr is not None else None,
+            limit=limit or 25,
+            country=country,
+        )
+        league = await by('league', parameter)
+        await UniMessage.image(
+            raw=await render_image(
+                List(
+                    show_index=True,
+                    data=[
+                        Data(
+                            user=User(
+                                id=i.id,
+                                name=i.username.upper(),
+                                avatar=f'https://tetr.io/user-content/avatars/{i.id}.jpg',
+                                country=i.country,
+                                xp=i.xp,
+                            ),
+                            tetra_league=TetraLeague(
+                                rank=i.league.rank,
+                                tr=round(i.league.tr, 2),
+                                glicko=round(i.league.glicko, 2),
+                                rd=round(i.league.rd, 2),
+                                decaying=i.league.decaying,
+                                pps=(metrics := get_metrics(pps=i.league.pps, apm=i.league.apm, vs=i.league.vs)).pps,
+                                apm=metrics.apm,
+                                apl=metrics.apl,
+                                vs=metrics.vs,
+                                adpl=metrics.adpl,
+                            ),
+                        )
+                        for i in league.data.entries
+                        if isinstance(i, Entry)
+                    ],
+                    lang=get_lang(),
+                ),
+            )
+        ).finish()

nonebot_plugin_tetris_stats/games/tetrio/models.py

@@ -1,34 +1,80 @@
-from datetime import datetime
+from datetime import datetime, timedelta
+from uuid import UUID
 
 from nonebot_plugin_orm import Model
-from sqlalchemy import JSON, DateTime, String
-from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
+from sqlalchemy import DateTime, ForeignKey, Integer, Interval, String, UniqueConstraint
+from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column, relationship
 
-from .api.typing import Rank
-from .typing import Template
-
-
-class IORank(MappedAsDataclass, Model):
-    id: Mapped[int] = mapped_column(init=False, primary_key=True)
-    rank: Mapped[Rank] = mapped_column(String(2), index=True)
-    tr_line: Mapped[float]
-    player_count: Mapped[int]
-    low_pps: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    low_apm: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    low_vs: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    avg_pps: Mapped[float]
-    avg_apm: Mapped[float]
-    avg_vs: Mapped[float]
-    high_pps: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    high_apm: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    high_vs: Mapped[tuple[dict[str, str], float]] = mapped_column(JSON)
-    update_time: Mapped[datetime] = mapped_column(
-        DateTime,
-        index=True,
-    )
-    file_hash: Mapped[str | None] = mapped_column(String(128), index=True)
+from ...db.models import PydanticType
+from .api.schemas.leaderboards.by import BySuccessModel, Entry
+from .api.typedefs import ValidRank
+from .typedefs import Template
 
 
 class TETRIOUserConfig(MappedAsDataclass, Model):
+    __tablename__ = 'nb_t_io_u_cfg'
+
     id: Mapped[int] = mapped_column(primary_key=True)
     query_template: Mapped[Template] = mapped_column(String(2))
+    compare_delta: Mapped[timedelta | None] = mapped_column(Interval(native=True), nullable=True)
+
+
+class TETRIOLeagueStats(MappedAsDataclass, Model):
+    __tablename__ = 'nb_t_io_tl_stats'
+
+    id: Mapped[int] = mapped_column(init=False, primary_key=True)
+    raw: Mapped[list['TETRIOLeagueHistorical']] = relationship(back_populates='stats', lazy='noload')
+    fields: Mapped[list['TETRIOLeagueStatsField']] = relationship(back_populates='stats')
+    update_time: Mapped[datetime] = mapped_column(DateTime, index=True)
+
+
+class TETRIOLeagueHistorical(MappedAsDataclass, Model):
+    __tablename__ = 'nb_t_io_tl_hist'
+
+    id: Mapped[int] = mapped_column(init=False, primary_key=True)
+    request_id: Mapped[UUID] = mapped_column(index=True)
+    data: Mapped[BySuccessModel] = mapped_column(PydanticType([], {BySuccessModel}))
+    update_time: Mapped[datetime] = mapped_column(DateTime, index=True)
+    stats_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_tl_stats.id'), init=False)
+    stats: Mapped['TETRIOLeagueStats'] = relationship(back_populates='raw')
+
+
+entry_type = PydanticType([], {Entry})
+
+
+class TETRIOLeagueStatsField(MappedAsDataclass, Model):
+    __tablename__ = 'nb_t_io_tl_stats_field'
+
+    id: Mapped[int] = mapped_column(init=False, primary_key=True)
+    rank: Mapped[ValidRank] = mapped_column(String(2), index=True)
+    tr_line: Mapped[float]
+    player_count: Mapped[int]
+    low_pps: Mapped[Entry] = mapped_column(entry_type)
+    low_apm: Mapped[Entry] = mapped_column(entry_type)
+    low_vs: Mapped[Entry] = mapped_column(entry_type)
+    avg_pps: Mapped[float]
+    avg_apm: Mapped[float]
+    avg_vs: Mapped[float]
+    high_pps: Mapped[Entry] = mapped_column(entry_type)
+    high_apm: Mapped[Entry] = mapped_column(entry_type)
+    high_vs: Mapped[Entry] = mapped_column(entry_type)
+    stats_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_tl_stats.id'), init=False)
+    stats: Mapped['TETRIOLeagueStats'] = relationship(back_populates='fields')
+
+
+class TETRIOUserUniqueIdentifier(MappedAsDataclass, Model):
+    __tablename__ = 'nb_t_io_uid'
+
+    id: Mapped[int] = mapped_column(init=False, primary_key=True)
+    user_unique_identifier: Mapped[str] = mapped_column(String(24), unique=True, index=True)
+
+
+class TETRIOLeagueUserMap(MappedAsDataclass, Model):
+    __tablename__ = 'nb_t_io_tl_map'
+    __table_args__ = (UniqueConstraint('uid_id', 'hist_id', name='uq_nb_t_io_tl_map_uid_hist'),)
+
+    id: Mapped[int] = mapped_column(init=False, primary_key=True)
+    stats_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_tl_stats.id'), index=True)
+    uid_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_uid.id'), index=True)
+    hist_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_tl_hist.id'))
+    entry_index: Mapped[int] = mapped_column(Integer)

nonebot_plugin_tetris_stats/games/tetrio/query.py

@@ -1,561 +0,0 @@
-from asyncio import gather
-from collections import defaultdict
-from datetime import date, datetime, timedelta, timezone
-from hashlib import md5
-from math import ceil, floor
-from typing import ClassVar, TypeVar, overload
-from urllib.parse import urlencode
-from zoneinfo import ZoneInfo
-
-from aiofiles import open
-from nonebot import get_driver
-from nonebot.adapters import Event
-from nonebot.compat import model_dump, type_validate_json
-from nonebot.matcher import Matcher
-from nonebot_plugin_alconna import At
-from nonebot_plugin_alconna.uniseg import UniMessage
-from nonebot_plugin_apscheduler import scheduler  # type: ignore[import-untyped]
-from nonebot_plugin_localstore import get_data_file  # type: ignore[import-untyped]
-from nonebot_plugin_orm import get_session
-from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
-from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
-from nonebot_plugin_user import User as NBUser  # type: ignore[import-untyped]
-from nonebot_plugin_user import get_user  # type: ignore[import-untyped]
-from sqlalchemy import select
-from zstandard import ZstdDecompressor
-
-from ...db import query_bind_info, trigger
-from ...utils.exception import FallbackError
-from ...utils.host import HostPage, get_self_netloc
-from ...utils.metrics import TetrisMetricsProWithPPSVS, get_metrics
-from ...utils.render import render
-from ...utils.render.schemas.base import Avatar, Ranking
-from ...utils.render.schemas.tetrio_info import Data, Radar, TetraLeague, TetraLeagueHistory
-from ...utils.render.schemas.tetrio_info import Info as V1TemplateInfo
-from ...utils.render.schemas.tetrio_info import User as V1TemplateUser
-from ...utils.render.schemas.tetrio_info_v2 import Badge, Blitz, Sprint, Statistic, TetraLeagueStatistic, Zen
-from ...utils.render.schemas.tetrio_info_v2 import Info as V2TemplateInfo
-from ...utils.render.schemas.tetrio_info_v2 import TetraLeague as V2TemplateTetraLeague
-from ...utils.render.schemas.tetrio_info_v2 import User as V2TemplateUser
-from ...utils.screenshot import screenshot
-from ...utils.typing import Me, Number
-from ..constant import CANT_VERIFY_MESSAGE
-from . import alc
-from .api import Player, User, UserInfoSuccess
-from .api.models import TETRIOHistoricalData
-from .api.schemas.tetra_league import TetraLeagueSuccess
-from .api.schemas.user_info import NeverPlayedLeague, NeverRatedLeague, RatedLeague
-from .api.schemas.user_records import SoloModeRecord, UserRecordsSuccess
-from .constant import GAME_TYPE, TR_MAX, TR_MIN
-from .models import IORank, TETRIOUserConfig
-from .typing import Template
-
-UTC = timezone.utc
-
-driver = get_driver()
-
-
-@alc.assign('TETRIO.query')
-async def _(  # noqa: PLR0913
-    user: NBUser,
-    event: Event,
-    matcher: Matcher,
-    target: At | Me,
-    event_session: EventSession,
-    template: Template | None = None,
-):
-    async with trigger(
-        session_persist_id=await get_session_persist_id(event_session),
-        game_platform=GAME_TYPE,
-        command_type='query',
-        command_args=[],
-    ):
-        async with get_session() as session:
-            bind = await query_bind_info(
-                session=session,
-                user=await get_user(
-                    event_session.platform, target.target if isinstance(target, At) else event.get_user_id()
-                ),
-                game_platform=GAME_TYPE,
-            )
-            if template is None:
-                template = await session.scalar(
-                    select(TETRIOUserConfig.query_template).where(TETRIOUserConfig.id == user.id)
-                )
-        if bind is None:
-            await matcher.finish('未查询到绑定信息')
-        message = UniMessage(CANT_VERIFY_MESSAGE)
-        player = Player(user_id=bind.game_account, trust=True)
-        await (message + (await make_query_result(player, template or 'v1'))).finish()
-
-
-@alc.assign('TETRIO.query')
-async def _(user: NBUser, account: Player, event_session: EventSession, template: Template | None = None):
-    async with trigger(
-        session_persist_id=await get_session_persist_id(event_session),
-        game_platform=GAME_TYPE,
-        command_type='query',
-        command_args=[],
-    ):
-        async with get_session() as session:
-            if template is None:
-                template = await session.scalar(
-                    select(TETRIOUserConfig.query_template).where(TETRIOUserConfig.id == user.id)
-                )
-        await (await make_query_result(account, template or 'v1')).finish()
-
-
-def get_value_bounds(values: list[int | float]) -> tuple[int, int]:
-    value_max = 10 * ceil(max(values) / 10)
-    value_min = 10 * floor(min(values) / 10)
-    return value_max, value_min
-
-
-def get_split(value_max: int, value_min: int) -> tuple[int, int]:
-    offset = 0
-    overflow = 0
-
-    while True:
-        if (new_max_value := value_max + offset + overflow) > TR_MAX:
-            overflow -= 1
-            continue
-        if (new_min_value := value_min - offset + overflow) < TR_MIN:
-            overflow += 1
-            continue
-        if ((new_max_value - new_min_value) / 40).is_integer():
-            split_value = int((value_max + offset - (value_min - offset)) / 4)
-            break
-        offset += 1
-    return split_value, offset + overflow
-
-
-def get_specified_point(
-    previous_point: Data,
-    behind_point: Data,
-    point_time: datetime,
-) -> Data:
-    """根据给出的 previous_point 和 behind_point, 推算 point_time 点处的数据
-
-    Args:
-        previous_point (Data): 前面的数据点
-        behind_point (Data): 后面的数据点
-        point_time (datetime): 要推算的点的位置
-
-    Returns:
-        Data: 要推算的点的数据
-    """
-    # 求两个点的斜率
-    slope = (behind_point.tr - previous_point.tr) / (
-        datetime.timestamp(behind_point.record_at) - datetime.timestamp(previous_point.record_at)
-    )
-    return Data(
-        record_at=point_time,
-        tr=previous_point.tr + slope * (datetime.timestamp(point_time) - datetime.timestamp(previous_point.record_at)),
-    )
-
-
-async def query_historical_data(user: User, user_info: UserInfoSuccess) -> list[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(TETRIOHistoricalData)
-                .where(TETRIOHistoricalData.update_time >= start_time)
-                .where(TETRIOHistoricalData.user_unique_identifier == user.unique_identifier)
-                .where(TETRIOHistoricalData.api_type == 'User Info')
-            )
-        ).all()
-        if historical_data:
-            extra = (
-                await session.scalars(
-                    select(TETRIOHistoricalData)
-                    .where(TETRIOHistoricalData.user_unique_identifier == user.unique_identifier)
-                    .where(TETRIOHistoricalData.api_type == 'User Info')
-                    .order_by(TETRIOHistoricalData.id.desc())
-                    .where(TETRIOHistoricalData.id < min([i.id for i in historical_data]))
-                    .limit(1)
-                )
-            ).one_or_none()
-            if extra is not None:
-                historical_data = list(historical_data)
-                historical_data.append(extra)
-    full_export_data = FullExport.get_data(user.unique_identifier)
-    if not historical_data and not full_export_data:
-        return [
-            Data(record_at=today - forward, tr=user_info.data.user.league.rating),
-            Data(record_at=today.replace(microsecond=1000), tr=user_info.data.user.league.rating),
-        ]
-    histories = [
-        Data(
-            record_at=i.update_time.astimezone(ZoneInfo('Asia/Shanghai')),
-            tr=i.data.data.user.league.rating,
-        )
-        for i in historical_data
-        if isinstance(i.data, UserInfoSuccess) and isinstance(i.data.data.user.league, RatedLeague)
-    ] + full_export_data
-
-    # 按照时间排序
-    histories = sorted(histories, key=lambda x: x.record_at)
-    for index, value in enumerate(histories):
-        # 在历史记录里找有没有今天0点后的数据, 并且至少要有两个数据点
-        if value.record_at > today and len(histories) >= 2:  # noqa: PLR2004
-            histories = histories[:index] + [
-                get_specified_point(histories[index - 1], histories[index], today.replace(microsecond=1000))
-            ]
-            break
-    else:
-        histories.append(
-            get_specified_point(
-                histories[-1],
-                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, Data(record_at=today - forward, tr=histories[0].tr))
-    return histories
-
-
-L = TypeVar('L', NeverPlayedLeague, NeverRatedLeague, RatedLeague)
-
-
-@overload
-def get_league(user_info: UserInfoSuccess, league_type: type[L]) -> L: ...
-@overload
-def get_league(
-    user_info: UserInfoSuccess, league_type: None = None
-) -> NeverPlayedLeague | NeverRatedLeague | RatedLeague: ...
-def get_league(
-    user_info: UserInfoSuccess, league_type: type[L] | None = None
-) -> L | NeverPlayedLeague | NeverRatedLeague | RatedLeague:
-    league = user_info.data.user.league
-    if league_type is None:
-        return league
-    if isinstance(league, league_type):
-        return league
-    raise FallbackError
-
-
-def get_sprint(user_records: UserRecordsSuccess) -> SoloModeRecord:
-    return user_records.data.records.sprint
-
-
-def get_blitz(user_records: UserRecordsSuccess) -> SoloModeRecord:
-    return user_records.data.records.blitz
-
-
-async def make_query_image_v1(player: Player) -> bytes:
-    user, user_info, user_records = await gather(player.user, player.get_info(), player.get_records())
-    league = get_league(user_info, RatedLeague)
-    sprint, blitz = get_sprint(user_records).record, get_blitz(user_records).record
-    if league.vs is None:
-        raise FallbackError
-    histories = await query_historical_data(user, user_info)
-    value_max, value_min = get_value_bounds([i.tr for i in histories])
-    split_value, offset = get_split(value_max, value_min)
-    if sprint is not None:
-        duration = timedelta(milliseconds=sprint.endcontext.final_time).total_seconds()
-        sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s'  # noqa: PLR2004
-    else:
-        sprint_value = 'N/A'
-    blitz_value = f'{blitz.endcontext.score:,}' if blitz is not None else 'N/A'
-    netloc = get_self_netloc()
-    async with HostPage(
-        page=await render(
-            'v1/tetrio/info',
-            V1TemplateInfo(
-                user=V1TemplateUser(
-                    avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
-                    if user_info.data.user.avatar_revision is not None
-                    else Avatar(
-                        type='identicon',
-                        hash=md5(user_info.data.user.id.encode()).hexdigest(),  # noqa: S324
-                    ),
-                    name=user.name.upper(),
-                    bio=user_info.data.user.bio,
-                ),
-                ranking=Ranking(
-                    rating=round(league.glicko, 2),
-                    rd=round(league.rd, 2),
-                ),
-                tetra_league=TetraLeague(
-                    rank=league.rank,
-                    tr=round(league.rating, 2),
-                    global_rank=league.standing,
-                    pps=league.pps,
-                    lpm=round(lpm := (league.pps * 24), 2),
-                    apm=league.apm,
-                    apl=round(league.apm / lpm, 2),
-                    vs=league.vs,
-                    adpm=round(adpm := (league.vs * 0.6), 2),
-                    adpl=round(adpm / lpm, 2),
-                ),
-                tetra_league_history=TetraLeagueHistory(
-                    data=histories,
-                    split_interval=split_value,
-                    min_tr=value_min,
-                    max_tr=value_max,
-                    offset=offset,
-                ),
-                radar=Radar(
-                    app=(app := (league.apm / (60 * league.pps))),
-                    dsps=(dsps := ((league.vs / 100) - (league.apm / 60))),
-                    dspp=(dspp := (dsps / league.pps)),
-                    ci=150 * dspp - 125 * app + 50 * (league.vs / league.apm) - 25,
-                    ge=2 * ((app * dsps) / league.pps),
-                ),
-                sprint=sprint_value,
-                blitz=blitz_value,
-            ),
-        )
-    ) as page_hash:
-        return await screenshot(f'http://{netloc}/host/{page_hash}.html')
-
-
-N = TypeVar('N', int, float)
-
-
-def handling_special_value(value: N) -> N | None:
-    return value if value != -1 else None
-
-
-async def make_query_image_v2(player: Player) -> bytes:
-    user, user_info, user_records = await gather(player.user, player.get_info(), player.get_records())
-    league = get_league(user_info)
-    sprint, blitz = get_sprint(user_records), get_blitz(user_records)
-
-    if sprint.record is not None:
-        duration = timedelta(milliseconds=sprint.record.endcontext.final_time).total_seconds()
-        sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s'  # noqa: PLR2004
-    else:
-        sprint_value = 'N/A'
-
-    play_time: str | None
-    if (game_time := handling_special_value(user_info.data.user.gametime)) is not None:
-        if game_time // 3600 > 0:
-            play_time = f'{game_time//3600:.0f}h {game_time % 3600 // 60:.0f}m {game_time % 60:.0f}s'
-        elif game_time // 60 > 0:
-            play_time = f'{game_time//60:.0f}m {game_time % 60:.0f}s'
-        else:
-            play_time = f'{game_time:.0f}s'
-    else:
-        play_time = game_time
-    netloc = get_self_netloc()
-    async with HostPage(
-        await render(
-            'v2/tetrio/info',
-            V2TemplateInfo(
-                user=V2TemplateUser(
-                    id=user.ID,
-                    name=user.name.upper(),
-                    bio=user_info.data.user.bio,
-                    banner=f'http://{netloc}/host/resource/tetrio/banners/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
-                    if user_info.data.user.banner_revision is not None and user_info.data.user.banner_revision != 0
-                    else None,
-                    avatar=f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}?{urlencode({"revision": user_info.data.user.avatar_revision})}'
-                    if user_info.data.user.avatar_revision is not None
-                    else Avatar(
-                        type='identicon',
-                        hash=md5(user_info.data.user.id.encode()).hexdigest(),  # noqa: S324
-                    ),
-                    badges=[
-                        Badge(
-                            id=i.id,
-                            description=i.label,
-                            group=i.group,
-                            receive_at=i.ts if isinstance(i.ts, datetime) else None,
-                        )
-                        for i in user_info.data.user.badges
-                    ],
-                    country=user_info.data.user.country,
-                    xp=user_info.data.user.xp,
-                    friend_count=user_info.data.user.friend_count or 0,
-                    supporter_tier=user_info.data.user.supporter_tier,
-                    bad_standing=user_info.data.user.badstanding or False,
-                    verified=user_info.data.user.verified,
-                    playtime=play_time,
-                    join_at=user_info.data.user.ts,
-                ),
-                tetra_league=V2TemplateTetraLeague(
-                    rank=league.rank,
-                    highest_rank=league.bestrank,
-                    tr=round(league.rating, 2),
-                    glicko=round(league.glicko, 2),
-                    rd=round(league.rd, 2),
-                    global_rank=handling_special_value(league.standing),
-                    country_rank=handling_special_value(league.standing_local),
-                    pps=(
-                        metrics := get_metrics(pps=league.pps, apm=league.apm, vs=league.vs)
-                        if league.vs is not None
-                        else get_metrics(pps=league.pps, apm=league.apm)
-                    ).pps,
-                    apm=metrics.apm,
-                    apl=metrics.apl,
-                    vs=metrics.vs if isinstance(metrics, TetrisMetricsProWithPPSVS) else None,
-                    adpl=metrics.adpl if isinstance(metrics, TetrisMetricsProWithPPSVS) else None,
-                    statistic=TetraLeagueStatistic(
-                        total=league.gamesplayed,
-                        wins=league.gameswon,
-                    ),
-                    decaying=league.decaying,
-                )
-                if isinstance(league, RatedLeague)
-                else None,
-                statistic=Statistic(
-                    total=handling_special_value(user_info.data.user.gamesplayed),
-                    wins=handling_special_value(user_info.data.user.gameswon),
-                ),
-                sprint=Sprint(
-                    time=sprint_value,
-                    global_rank=sprint.rank,
-                    play_at=sprint.record.ts,
-                )
-                if sprint.record is not None
-                else None,
-                blitz=Blitz(
-                    score=blitz.record.endcontext.score,
-                    global_rank=blitz.rank,
-                    play_at=blitz.record.ts,
-                )
-                if blitz.record is not None
-                else None,
-                zen=Zen.model_validate(model_dump(user_records.data.zen)),
-            ),
-        ),
-    ) as page_hash:
-        return await screenshot(f'http://{netloc}/host/{page_hash}.html')
-
-
-async def make_query_text(player: Player) -> UniMessage:
-    user, user_info, user_records = await gather(player.user, player.get_info(), player.get_records())
-    league = get_league(user_info)
-    sprint, blitz = get_sprint(user_records), get_blitz(user_records)
-
-    user_name = user.name.upper()
-
-    message = ''
-    if isinstance(league, NeverPlayedLeague):
-        message += f'用户 {user_name} 没有排位统计数据'
-    else:
-        if isinstance(league, NeverRatedLeague):
-            message += f'用户 {user_name} 暂未完成定级赛, 最近十场的数据:'
-        else:
-            if league.rank == 'z':
-                message += f'用户 {user_name} 暂无段位, {round(league.rating,2)} TR'
-            else:
-                message += f'{league.rank.upper()} 段用户 {user_name} {round(league.rating,2)} TR (#{league.standing})'
-            message += f', 段位分 {round(league.glicko,2)}±{round(league.rd,2)}, 最近十场的数据:'
-        metrics = (
-            get_metrics(pps=league.pps, apm=league.apm, vs=league.vs)
-            if league.vs is not None
-            else get_metrics(pps=league.pps, apm=league.apm)
-        )
-        message += f"\nL'PM: {metrics.lpm} ( {metrics.pps} pps )"
-        message += f'\nAPM: {metrics.apm} ( x{metrics.apl} )'
-        if isinstance(metrics, TetrisMetricsProWithPPSVS):
-            message += f'\nADPM: {metrics.adpm} ( x{metrics.adpl} ) ( {metrics.vs}vs )'
-    if sprint.record is not None:
-        message += f'\n40L: {round(sprint.record.endcontext.final_time/1000,2)}s'
-        message += f' ( #{sprint.rank} )' if sprint.rank is not None else ''
-    if blitz.record is not None:
-        message += f'\nBlitz: {blitz.record.endcontext.score}'
-        message += f' ( #{blitz.rank} )' if blitz.rank is not None else ''
-    return UniMessage(message)
-
-
-async def make_query_result(player: Player, template: Template) -> UniMessage:
-    try:
-        if template == 'v1':
-            return UniMessage.image(raw=await make_query_image_v1(player))
-        if template == 'v2':
-            return UniMessage.image(raw=await make_query_image_v2(player))
-    except FallbackError:
-        ...
-    return await make_query_text(player)
-
-
-class FullExport:
-    cache: ClassVar[defaultdict[str, set[tuple[datetime, Number]]]] = defaultdict(set)
-    latest_update: ClassVar[date | None] = None
-
-    @classmethod
-    async def init(cls) -> None:
-        async with get_session() as session:
-            full_exports = (await session.scalars(select(IORank).where(IORank.update_time >= cls.start_time()))).all()
-        await gather(
-            *[
-                cls._load(update_time, file_hash)
-                for file_hash, update_time in {
-                    i.file_hash: i.update_time for i in full_exports if i.file_hash is not None
-                }.items()
-            ]
-        )
-
-    @classmethod
-    async def update(cls) -> None:
-        if cls.latest_update == datetime.now(tz=ZoneInfo('Asia/Shanghai')).date():
-            return
-        start_time = cls.start_time()
-        for i in cls.cache:
-            cls.cache[i] = {j for j in cls.cache[i] if j[0] >= start_time}
-        latest_time = max(cls.cache)
-        async with get_session() as session:
-            full_exports = (await session.scalars(select(IORank).where(IORank.update_time > latest_time))).all()
-        await gather(
-            *[
-                cls._load(update_time, file_hash)
-                for file_hash, update_time in {
-                    i.file_hash: i.update_time for i in full_exports if i.file_hash is not None
-                }.items()
-            ]
-        )
-        cls.latest_update = datetime.now(tz=ZoneInfo('Asia/Shanghai')).date()
-
-    @classmethod
-    def get_data(cls, unique_identifier: str) -> list[Data]:
-        return [Data(record_at=i[0], tr=i[1]) for i in cls.cache[unique_identifier]]
-
-    @classmethod
-    def start_time(cls) -> datetime:
-        return (
-            datetime.now(ZoneInfo('Asia/Shanghai')).replace(hour=0, minute=0, second=0, microsecond=0)
-            - timedelta(days=9)
-        ).astimezone(UTC)
-
-    @classmethod
-    async def _load(cls, update_time: datetime, file_hash: str) -> None:
-        try:
-            users = type_validate_json(TetraLeagueSuccess, await cls.decompress(file_hash)).data.users
-        except FileNotFoundError:
-            await cls.clear_invalid(file_hash)
-            return
-        update_time = update_time.astimezone(ZoneInfo('Asia/Shanghai'))
-        for i in users:
-            cls.cache[i.id].add((update_time, i.league.rating))
-
-    @classmethod
-    async def decompress(cls, file_hash: str) -> bytes:
-        async with open(get_data_file('nonebot_plugin_tetris_stats', f'{file_hash}.json.zst'), mode='rb') as file:
-            return ZstdDecompressor().decompress(await file.read())
-
-    @classmethod
-    async def clear_invalid(cls, file_hash: str) -> None:
-        async with get_session() as session:
-            full_exports = (await session.scalars(select(IORank).where(IORank.file_hash == file_hash))).all()
-            for i in full_exports:
-                i.file_hash = None
-            await session.commit()
-
-
-@driver.on_startup
-async def _():
-    await FullExport.init()
-    scheduler.add_job(FullExport.update, 'interval', hours=1)

nonebot_plugin_tetris_stats/games/tetrio/query/__init__.py

@@ -0,0 +1,167 @@
+from datetime import timedelta, timezone
+
+from arclet.alconna import Arg, ArgFlag
+from nonebot import get_driver
+from nonebot.adapters import Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import Args, At, Option, Subcommand
+from nonebot_plugin_alconna.uniseg import Image, UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_uninfo import Uninfo
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from nonebot_plugin_user import User as NBUser
+from nonebot_plugin_user import get_user
+from sqlalchemy import select
+
+from ....db import query_bind_info, resolve_compare_delta, trigger
+from ....i18n import Lang
+from ....utils.duration import parse_duration
+from ....utils.exception import FallbackError
+from ....utils.typedefs import Me
+from ... import add_block_handlers, alc
+from .. import command, get_player
+from ..api import Player
+from ..constant import GAME_TYPE
+from ..models import TETRIOUserConfig
+from ..typedefs import Template
+from .v1 import make_query_image_v1
+from .v2 import make_query_image_v2
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+command.add(
+    Subcommand(
+        'query',
+        Args(
+            Arg(
+                'target',
+                At | Me,
+                notice='@想要查询的人 / 自己',
+                flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+            ),
+            Arg(
+                'account',
+                get_player,
+                notice='TETR.IO 用户名 / ID',
+                flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+            ),
+        ),
+        Option(
+            '--template',
+            Arg('template', Template),
+            alias=['-T'],
+            help_text='要使用的查询模板',
+        ),
+        Option(
+            '--compare',
+            Arg('compare', parse_duration),
+            alias=['-C'],
+            help_text='指定对比时间距离',
+        ),
+        help_text='查询 TETR.IO 游戏信息',
+    ),
+)
+
+alc.shortcut(
+    '(?i:io)(?i:查询|查|query|stats)',
+    command='tstats TETR.IO query',
+    humanized='io查',
+)
+alc.shortcut(
+    'fkosk',
+    command='tstats TETR.IO query',
+    arguments=['我'],
+    fuzzy=False,
+    humanized='An Easter egg!',
+)
+
+add_block_handlers(alc.assign('TETRIO.query'))
+
+
+async def make_query_result(player: Player, template: Template, compare_delta: timedelta) -> UniMessage:
+    if template == 'v1':
+        try:
+            return UniMessage.image(raw=await make_query_image_v1(player, compare_delta))
+        except FallbackError:
+            template = 'v2'
+    if template == 'v2':
+        return UniMessage.image(raw=await make_query_image_v2(player))
+    return None
+
+
+@alc.assign('TETRIO.query')
+async def _(  # noqa: PLR0913
+    user: NBUser,
+    event: Event,
+    matcher: Matcher,
+    target: At | Me,
+    event_session: Uninfo,
+    template: Template | None = None,
+    compare: timedelta | None = None,
+):
+    command_args: list[str] = []
+    if template is not None:
+        command_args.append(f'--template {template}')
+    if compare is not None:
+        command_args.append(f'--compare {compare}')
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='query',
+        command_args=command_args,
+    ):
+        async with get_session() as session:
+            bind = await query_bind_info(
+                session=session,
+                user=await get_user(
+                    event_session.scope, target.target if isinstance(target, At) else event.get_user_id()
+                ),
+                game_platform=GAME_TYPE,
+            )
+            if template is None:
+                template = await session.scalar(
+                    select(TETRIOUserConfig.query_template).where(TETRIOUserConfig.id == user.id)
+                )
+            compare_delta = await resolve_compare_delta(TETRIOUserConfig, session, user.id, compare)
+        if bind is None:
+            await matcher.finish(Lang.bind.not_found())
+        player = Player(user_id=bind.game_account, trust=True)
+        await (
+            UniMessage.i18n(Lang.interaction.warning.unverified)
+            + (
+                UniMessage('\n')
+                if not (result := await make_query_result(player, template or 'v1', compare_delta)).has(Image)
+                else UniMessage()
+            )
+            + result
+        ).finish()
+
+
+@alc.assign('TETRIO.query')
+async def _(
+    user: NBUser,
+    account: Player,
+    event_session: Uninfo,
+    template: Template | None = None,
+    compare: timedelta | None = None,
+):
+    command_args: list[str] = []
+    if template is not None:
+        command_args.append(f'--template {template}')
+    if compare is not None:
+        command_args.append(f'--compare {compare}')
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='query',
+        command_args=command_args,
+    ):
+        async with get_session() as session:
+            if template is None:
+                template = await session.scalar(
+                    select(TETRIOUserConfig.query_template).where(TETRIOUserConfig.id == user.id)
+                )
+            compare_delta = await resolve_compare_delta(TETRIOUserConfig, session, user.id, compare)
+        await (await make_query_result(account, template or 'v1', compare_delta)).finish()

nonebot_plugin_tetris_stats/games/tetrio/query/tools.py

@@ -0,0 +1,56 @@
+from collections.abc import Callable
+from datetime import timedelta
+from typing import TypeVar, overload
+from zoneinfo import ZoneInfo
+
+from ....utils.exception import FallbackError
+from ....utils.render.schemas.base import HistoryData
+from ..api.schemas.labs.leagueflow import Empty, LeagueFlowSuccess
+from ..api.schemas.summaries.league import InvalidData, LeagueSuccessModel, NeverPlayedData, NeverRatedData, RatedData
+
+
+def flow_to_history(
+    leagueflow: LeagueFlowSuccess,
+    handle: Callable[[list[HistoryData]], list[HistoryData]] | None = None,
+) -> list[HistoryData]:
+    if isinstance(leagueflow.data, Empty):
+        raise FallbackError
+    start_time = leagueflow.data.start_time.astimezone(ZoneInfo('Asia/Shanghai'))
+    ret = [
+        HistoryData(
+            record_at=start_time + timedelta(milliseconds=i.timestamp_offset),
+            score=i.post_match_tr,
+        )
+        for i in leagueflow.data.points
+        if start_time + timedelta(milliseconds=i.timestamp_offset)
+    ]
+    return ret if handle is None else handle(ret)
+
+
+N = TypeVar('N', int, float)
+
+
+def handling_special_value(value: N) -> N | None:
+    return value if value != -1 else None
+
+
+L = TypeVar('L', NeverPlayedData, NeverRatedData, RatedData)
+
+
+@overload
+def get_league_data(user_info: LeagueSuccessModel, league_type: type[L]) -> L: ...
+@overload
+def get_league_data(
+    user_info: LeagueSuccessModel, league_type: None = None
+) -> NeverPlayedData | NeverRatedData | RatedData: ...
+def get_league_data(
+    user_info: LeagueSuccessModel, league_type: type[L] | None = None
+) -> L | NeverPlayedData | NeverRatedData | RatedData:
+    league = user_info.data
+    if isinstance(league, InvalidData):
+        raise FallbackError
+    if league_type is None:
+        return league
+    if isinstance(league, league_type):
+        return league
+    raise FallbackError

nonebot_plugin_tetris_stats/games/tetrio/query/v1.py

@@ -0,0 +1,291 @@
+from asyncio import gather
+from datetime import datetime, timedelta, timezone
+from hashlib import md5
+from typing import Literal, NamedTuple
+
+from nonebot_plugin_orm import AsyncSession, get_session
+from sqlalchemy import func, select
+from yarl import URL
+
+from ....utils.chart import get_split, get_value_bounds, handle_history_data
+from ....utils.host import get_self_netloc
+from ....utils.lang import get_lang
+from ....utils.metrics import TetrisMetricsProWithPPSVS, get_metrics
+from ....utils.render import render_image
+from ....utils.render.schemas.base import Avatar, Trending
+from ....utils.render.schemas.v1.base import History
+from ....utils.render.schemas.v1.tetrio.info import Info, Multiplayer, Singleplayer, User
+from ..api import Player
+from ..api.models import TETRIOHistoricalData
+from ..api.schemas.leaderboards.by import Entry, InvalidEntry
+from ..api.schemas.summaries.league import LeagueSuccessModel, NeverRatedData, RatedData
+from ..constant import TR_MAX, TR_MIN
+from ..models import TETRIOLeagueHistorical, TETRIOLeagueUserMap, TETRIOUserUniqueIdentifier
+from .tools import flow_to_history, get_league_data
+
+UTC = timezone.utc
+
+
+class Trends(NamedTuple):
+    pps: Trending = Trending.KEEP
+    apm: Trending = Trending.KEEP
+    adpm: Trending = Trending.KEEP
+
+
+class HistoricalSnapshot(NamedTuple):
+    metrics: TetrisMetricsProWithPPSVS
+    delta: timedelta
+
+
+async def get_nearest_historical(
+    session: AsyncSession,
+    unique_identifier: str,
+    target_time: datetime,
+) -> HistoricalSnapshot | None:
+    before = await session.scalar(
+        select(TETRIOHistoricalData)
+        .where(
+            TETRIOHistoricalData.user_unique_identifier == unique_identifier,
+            TETRIOHistoricalData.api_type == 'league',
+            TETRIOHistoricalData.update_time <= target_time,
+        )
+        .order_by(TETRIOHistoricalData.update_time.desc())
+        .limit(1)
+    )
+    after = await session.scalar(
+        select(TETRIOHistoricalData)
+        .where(
+            TETRIOHistoricalData.user_unique_identifier == unique_identifier,
+            TETRIOHistoricalData.api_type == 'league',
+            TETRIOHistoricalData.update_time >= target_time,
+        )
+        .order_by(TETRIOHistoricalData.update_time.asc())
+        .limit(1)
+    )
+    candidates = [i for i in (before, after) if i is not None]
+    if not candidates:
+        return None
+
+    delta_seconds, selected = min(
+        (
+            abs((target_time - i.update_time.astimezone(UTC)).total_seconds()),
+            i,
+        )
+        for i in candidates
+    )
+    delta = timedelta(seconds=delta_seconds)
+
+    if not isinstance(selected.data, LeagueSuccessModel) or not isinstance(
+        selected.data.data, RatedData | NeverRatedData
+    ):
+        return None
+
+    data = selected.data.data
+    return HistoricalSnapshot(get_metrics(pps=data.pps, apm=data.apm, vs=data.vs), delta)
+
+
+async def _get_boundary_league_historical(
+    session: AsyncSession,
+    uid_id: int,
+    target_time: datetime,
+    *,
+    time_direction: Literal['before', 'after'],
+) -> tuple[TETRIOLeagueUserMap, datetime] | None:
+    boundary_time = await session.scalar(
+        select((func.max if time_direction == 'before' else func.min)(TETRIOLeagueHistorical.update_time))
+        .select_from(TETRIOLeagueUserMap)
+        .join(TETRIOLeagueHistorical, TETRIOLeagueUserMap.hist_id == TETRIOLeagueHistorical.id)
+        .where(
+            TETRIOLeagueUserMap.uid_id == uid_id,
+            TETRIOLeagueHistorical.update_time <= target_time
+            if time_direction == 'before'
+            else TETRIOLeagueHistorical.update_time >= target_time,
+        )
+    )
+    if boundary_time is None:
+        return None
+
+    return (
+        (
+            await session.execute(
+                select(TETRIOLeagueUserMap, TETRIOLeagueHistorical.update_time)
+                .join(TETRIOLeagueHistorical, TETRIOLeagueUserMap.hist_id == TETRIOLeagueHistorical.id)
+                .where(
+                    TETRIOLeagueUserMap.uid_id == uid_id,
+                    TETRIOLeagueHistorical.update_time == boundary_time,
+                )
+                .order_by(TETRIOLeagueHistorical.id.desc())
+                .limit(1)
+            )
+        )
+        .tuples()
+        .first()
+    )
+
+
+async def get_nearest_league_historical(
+    session: AsyncSession,
+    unique_identifier: str,
+    target_time: datetime,
+) -> HistoricalSnapshot | None:
+    uid_id = await session.scalar(
+        select(TETRIOUserUniqueIdentifier.id).where(
+            TETRIOUserUniqueIdentifier.user_unique_identifier == unique_identifier
+        )
+    )
+    if uid_id is None:
+        return None
+
+    before = await _get_boundary_league_historical(
+        session,
+        uid_id,
+        target_time,
+        time_direction='before',
+    )
+    after = await _get_boundary_league_historical(
+        session,
+        uid_id,
+        target_time,
+        time_direction='after',
+    )
+
+    candidates = [i for i in (before, after) if i is not None]
+    if not candidates:
+        return None
+    delta_seconds, selected = min(
+        (
+            abs((target_time - i[1].astimezone(UTC)).total_seconds()),
+            i[0],
+        )
+        for i in candidates
+    )
+    delta = timedelta(seconds=delta_seconds)
+
+    historical = await session.get(TETRIOLeagueHistorical, selected.hist_id)
+    if historical is None or not isinstance(
+        (entry := find_entry(historical.data.data.entries, selected.entry_index, unique_identifier)), Entry
+    ):
+        return None
+    return HistoricalSnapshot(get_metrics(pps=entry.league.pps, apm=entry.league.apm, vs=entry.league.vs), delta)
+
+
+def find_entry(
+    entries: list[Entry | InvalidEntry],
+    entry_index: int,
+    unique_identifier: str | None = None,
+) -> Entry | InvalidEntry | None:
+    if 0 <= entry_index < len(entries):
+        entry = entries[entry_index]
+        if unique_identifier is None or entry.id == unique_identifier:
+            return entry
+    if unique_identifier is None:
+        return None
+    for entry in entries:
+        if entry.id == unique_identifier:
+            return entry
+    return None
+
+
+async def get_trends(player: Player, compare_delta: timedelta) -> Trends:
+    league = await player.league
+    if not isinstance(league.data, RatedData | NeverRatedData):
+        return Trends()
+    user = await player.user
+
+    async with get_session() as session:
+        target_time = (league.cache.cached_at - compare_delta).astimezone(UTC)
+        historical, league_historical = await gather(
+            get_nearest_historical(
+                session,
+                user.unique_identifier,
+                target_time,
+            ),
+            get_nearest_league_historical(
+                session,
+                user.unique_identifier,
+                target_time,
+            ),
+        )
+    selected = min((historical, league_historical), key=lambda x: x.delta if x is not None else timedelta.max)
+    if selected is None:
+        return Trends()
+    metrics = get_metrics(pps=league.data.pps, apm=league.data.apm, vs=league.data.vs)
+    return Trends(
+        pps=Trending.compare(selected.metrics.pps, metrics.pps),
+        apm=Trending.compare(selected.metrics.apm, metrics.apm),
+        adpm=Trending.compare(selected.metrics.adpm, metrics.adpm),
+    )
+
+
+async def make_query_image_v1(player: Player, compare_delta: timedelta) -> bytes:
+    (
+        (user, user_info, league, sprint, blitz, leagueflow),
+        (avatar_revision,),
+    ) = await gather(
+        gather(player.user, player.get_info(), player.league, player.sprint, player.blitz, player.get_leagueflow()),
+        gather(player.avatar_revision),
+    )
+    league_data = get_league_data(league, RatedData)
+    histories = flow_to_history(leagueflow, handle_history_data)
+    values = get_value_bounds([i.score for i in histories])
+    split_value, offset = get_split(values, TR_MAX, TR_MIN)
+    if sprint.data.record is not None:
+        duration = timedelta(milliseconds=sprint.data.record.results.stats.finaltime).total_seconds()
+        sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s'  # noqa: PLR2004
+    else:
+        sprint_value = 'N/A'
+    blitz_value = f'{blitz.data.record.results.stats.score:,}' if blitz.data.record is not None else 'N/A'
+    dsps: float
+    dspp: float
+    # make mypy happy
+    return await render_image(
+        Info(
+            user=User(
+                avatar=str(
+                    URL(f'http://{get_self_netloc()}/host/resource/tetrio/avatars/{user.ID}')
+                    % {'revision': avatar_revision}
+                )
+                if avatar_revision is not None and avatar_revision != 0
+                else Avatar(
+                    type='identicon',
+                    hash=md5(user.ID.encode()).hexdigest(),  # noqa: S324
+                ),
+                name=user.name.upper(),
+                bio=user_info.data.bio,
+            ),
+            multiplayer=Multiplayer(
+                glicko=f'{round(league_data.glicko, 2):,}',
+                rd=round(league_data.rd, 2),
+                rank=league_data.rank,
+                tr=f'{round(league_data.tr, 2):,}',
+                global_rank=league_data.standing,
+                history=History(
+                    data=histories,
+                    split_interval=split_value,
+                    min_value=values.value_min,
+                    max_value=values.value_max,
+                    offset=offset,
+                ),
+                lpm=(metrics := get_metrics(pps=league_data.pps, apm=league_data.apm, vs=league_data.vs)).lpm,
+                pps=metrics.pps,
+                lpm_trending=(trends := (await get_trends(player, compare_delta))).pps,
+                apm=metrics.apm,
+                apl=metrics.apl,
+                apm_trending=trends.apm,
+                adpm=metrics.adpm,
+                vs=metrics.vs,
+                adpl=metrics.adpl,
+                adpm_trending=trends.adpm,
+                app=(app := (league_data.apm / (60 * league_data.pps))),
+                dsps=(dsps := ((league_data.vs / 100) - (league_data.apm / 60))),
+                dspp=(dspp := (dsps / league_data.pps)),
+                ci=150 * dspp - 125 * app + 50 * (league_data.vs / league_data.apm) - 25,
+                ge=2 * ((app * dsps) / league_data.pps),
+            ),
+            singleplayer=Singleplayer(
+                sprint=sprint_value,
+                blitz=blitz_value,
+            ),
+            lang=get_lang(),
+        ),
+    )

nonebot_plugin_tetris_stats/games/tetrio/query/v2.py

@@ -0,0 +1,205 @@
+from asyncio import gather
+from datetime import datetime, timedelta
+from hashlib import md5
+
+from yarl import URL
+
+from ....utils.exception import FallbackError
+from ....utils.host import get_self_netloc
+from ....utils.lang import get_lang
+from ....utils.metrics import get_metrics
+from ....utils.render import render_image
+from ....utils.render.schemas.base import Avatar
+from ....utils.render.schemas.v2.tetrio.user.info import (
+    Achievement,
+    Badge,
+    Best,
+    Blitz,
+    Info,
+    Sprint,
+    Statistic,
+    TetraLeague,
+    TetraLeagueStatistic,
+    User,
+    Week,
+    Zen,
+    Zenith,
+)
+from ..api import Player
+from ..api.schemas.summaries.league import InvalidData, NeverPlayedData, NeverRatedData
+from .tools import flow_to_history, handling_special_value
+
+
+async def make_query_image_v2(player: Player) -> bytes:
+    (
+        (user, user_info, league, sprint, blitz, zen),
+        (avatar_revision, banner_revision, leagueflow, zenith, zenithex, achievements),
+    ) = await gather(
+        gather(
+            player.user,
+            player.get_info(),
+            player.league,
+            player.sprint,
+            player.blitz,
+            player.zen,
+        ),
+        gather(
+            player.avatar_revision,
+            player.banner_revision,
+            player.get_leagueflow(),
+            player.get_summaries('zenith'),
+            player.get_summaries('zenithex'),
+            player.get_summaries('achievements'),
+        ),
+    )
+    if sprint.data.record is not None:
+        duration = timedelta(milliseconds=sprint.data.record.results.stats.finaltime).total_seconds()
+        sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s'  # noqa: PLR2004
+    else:
+        sprint_value = 'N/A'
+
+    play_time: str | None
+    if (game_time := handling_special_value(user_info.data.gametime)) is not None:
+        if game_time // 3600 > 0:
+            play_time = f'{game_time // 3600:.0f}h {game_time % 3600 // 60:.0f}m {game_time % 60:.0f}s'
+        elif game_time // 60 > 0:
+            play_time = f'{game_time // 60:.0f}m {game_time % 60:.0f}s'
+        else:
+            play_time = f'{game_time:.0f}s'
+    else:
+        play_time = game_time
+    try:
+        history = flow_to_history(leagueflow, lambda x: x[-100:])
+    except FallbackError:
+        history = None
+    netloc = get_self_netloc()
+    return await render_image(
+        Info(
+            user=User(
+                id=user.ID,
+                name=user.name.upper(),
+                country=user_info.data.country,
+                role=user_info.data.role,
+                botmaster=user_info.data.botmaster,
+                avatar=str(
+                    URL(f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}') % {'revision': avatar_revision}
+                )
+                if avatar_revision is not None and avatar_revision != 0
+                else Avatar(
+                    type='identicon',
+                    hash=md5(user.ID.encode()).hexdigest(),  # noqa: S324
+                ),
+                banner=str(
+                    URL(f'http://{netloc}/host/resource/tetrio/banners/{user.ID}') % {'revision': banner_revision}
+                )
+                if banner_revision is not None and banner_revision != 0
+                else None,
+                bio=user_info.data.bio,
+                friend_count=user_info.data.friend_count,
+                supporter_tier=user_info.data.supporter_tier,
+                bad_standing=user_info.data.badstanding or False,
+                badges=[
+                    Badge(
+                        id=i.id,
+                        description=i.label,
+                        group=i.group,
+                        receive_at=i.ts if isinstance(i.ts, datetime) else None,
+                    )
+                    for i in user_info.data.badges
+                ],
+                xp=user_info.data.xp,
+                ar=user_info.data.ar,
+                achievements=[
+                    Achievement(
+                        key=i.achievement_id,
+                        rank_type=i.rank_type,
+                        ar_type=i.ar_type,
+                        stub=i.stub,
+                        rank=i.rank,
+                        achieved_score=i.achieved_score,
+                        pos=i.pos,
+                        progress=i.progress,
+                        total=i.total,
+                    )
+                    for i in achievements.data
+                ],
+                playtime=play_time,
+                join_at=user_info.data.ts,
+            ),
+            tetra_league=TetraLeague(
+                rank=league.data.rank,
+                highest_rank='z' if isinstance(league.data, NeverRatedData) else league.data.bestrank,
+                tr=round(league.data.tr, 2),
+                glicko=round(league.data.glicko, 2),
+                rd=round(league.data.rd, 2),
+                global_rank=league.data.standing,
+                country_rank=league.data.standing_local,
+                pps=(metrics := get_metrics(pps=league.data.pps, apm=league.data.apm, vs=league.data.vs)).pps,
+                apm=metrics.apm,
+                apl=metrics.apl,
+                vs=metrics.vs,
+                adpl=metrics.adpl,
+                statistic=TetraLeagueStatistic(total=league.data.gamesplayed, wins=league.data.gameswon),
+                decaying=league.data.decaying,
+                history=history,
+            )
+            if not isinstance(league.data, NeverPlayedData | InvalidData)
+            else None,
+            zenith=Zenith(
+                week=Week(
+                    altitude=zenith.data.record.results.stats.zenith.altitude,
+                    global_rank=zenith.data.rank,
+                    country_rank=zenith.data.rank_local,
+                    play_at=zenith.data.record.ts,
+                )
+                if zenith.data.record is not None
+                else None,
+                best=Best(
+                    altitude=zenith.data.best.record.results.stats.zenith.altitude,
+                    global_rank=zenith.data.best.rank,
+                    play_at=zenith.data.best.record.ts,
+                )
+                if zenith.data.best.record is not None
+                else None,
+            ),
+            zenithex=Zenith(
+                week=Week(
+                    altitude=zenithex.data.record.results.stats.zenith.altitude,
+                    global_rank=zenithex.data.rank,
+                    country_rank=zenithex.data.rank_local,
+                    play_at=zenithex.data.record.ts,
+                )
+                if zenithex.data.record is not None
+                else None,
+                best=Best(
+                    altitude=zenithex.data.best.record.results.stats.zenith.altitude,
+                    global_rank=zenithex.data.best.rank,
+                    play_at=zenithex.data.best.record.ts,
+                )
+                if zenithex.data.best.record is not None
+                else None,
+            ),
+            statistic=Statistic(
+                total=handling_special_value(user_info.data.gamesplayed),
+                wins=handling_special_value(user_info.data.gameswon),
+            ),
+            sprint=Sprint(
+                time=sprint_value,
+                global_rank=sprint.data.rank,
+                country_rank=sprint.data.rank_local,
+                play_at=sprint.data.record.ts,
+            )
+            if sprint.data.record is not None
+            else None,
+            blitz=Blitz(
+                score=blitz.data.record.results.stats.score,
+                global_rank=blitz.data.rank,
+                country_rank=blitz.data.rank_local,
+                play_at=blitz.data.record.ts,
+            )
+            if blitz.data.record is not None
+            else None,
+            zen=Zen(level=zen.data.level, score=zen.data.score),
+            lang=get_lang(),
+        ),
+    )

nonebot_plugin_tetris_stats/games/tetrio/rank.py

@@ -1,174 +0,0 @@
-from collections import defaultdict
-from collections.abc import Callable
-from datetime import datetime, timedelta, timezone
-from hashlib import sha512
-from math import floor
-from statistics import mean
-from zoneinfo import ZoneInfo
-
-from aiofiles import open
-from nonebot import get_driver
-from nonebot.compat import model_dump
-from nonebot.matcher import Matcher
-from nonebot.utils import run_sync
-from nonebot_plugin_apscheduler import scheduler  # type: ignore[import-untyped]
-from nonebot_plugin_localstore import get_data_file  # type: ignore[import-untyped]
-from nonebot_plugin_orm import get_session
-from nonebot_plugin_session import EventSession  # type: ignore[import-untyped]
-from nonebot_plugin_session_orm import get_session_persist_id  # type: ignore[import-untyped]
-from sqlalchemy import func, select
-from zstandard import ZstdCompressor
-
-from ...db import trigger
-from ...utils.exception import RequestError
-from ...utils.metrics import get_metrics
-from ...utils.retry import retry
-from . import alc
-from .api.schemas.base import FailedModel
-from .api.schemas.tetra_league import ValidUser
-from .api.schemas.user import User
-from .api.tetra_league import full_export
-from .api.typing import Rank
-from .constant import GAME_TYPE, RANK_PERCENTILE
-from .models import IORank
-
-UTC = timezone.utc
-
-driver = get_driver()
-
-
-@alc.assign('TETRIO.rank')
-async def _(matcher: Matcher, rank: Rank, event_session: EventSession):
-    async with trigger(
-        session_persist_id=await get_session_persist_id(event_session),
-        game_platform=GAME_TYPE,
-        command_type='rank',
-        command_args=[],
-    ):
-        if rank == 'z':
-            await matcher.finish('暂不支持查询未知段位')
-        async with get_session() as session:
-            latest_data = (
-                await session.scalars(select(IORank).where(IORank.rank == rank).order_by(IORank.id.desc()).limit(1))
-            ).one()
-            compare_data = (
-                await session.scalars(
-                    select(IORank)
-                    .where(IORank.rank == rank)
-                    .order_by(
-                        func.abs(
-                            func.julianday(IORank.update_time)
-                            - func.julianday(latest_data.update_time - timedelta(hours=24))
-                        )
-                    )
-                    .limit(1)
-                )
-            ).one()
-        message = ''
-        if (datetime.now(UTC) - latest_data.update_time.replace(tzinfo=UTC)) > timedelta(hours=7):
-            message += 'Warning: 数据超过7小时未更新, 请联系Bot主人查看后台\n'
-        message += f'{rank.upper()} 段 分数线 {latest_data.tr_line:.2f} TR, {latest_data.player_count} 名玩家\n'
-        if compare_data.id != latest_data.id:
-            message += f'对比 {(latest_data.update_time-compare_data.update_time).total_seconds()/3600:.2f} 小时前趋势: {f"↑{difference:.2f}" if (difference:=latest_data.tr_line-compare_data.tr_line) > 0 else f"↓{-difference:.2f}" if difference < 0 else "→"}'
-        else:
-            message += '暂无对比数据'
-        avg = get_metrics(pps=latest_data.avg_pps, apm=latest_data.avg_apm, vs=latest_data.avg_vs)
-        low_pps = get_metrics(pps=latest_data.low_pps[1])
-        low_vs = get_metrics(vs=latest_data.low_vs[1])
-        max_pps = get_metrics(pps=latest_data.high_pps[1])
-        max_vs = get_metrics(vs=latest_data.high_vs[1])
-        message += (
-            '\n'
-            '平均数据:\n'
-            f"L'PM: {avg.lpm} ( {avg.pps} pps )\n"
-            f'APM: {avg.apm} ( x{avg.apl} )\n'
-            f'ADPM: {avg.adpm} ( x{avg.adpl} ) ( {avg.vs}vs )\n'
-            '\n'
-            '最低数据:\n'
-            f"L'PM: {low_pps.lpm} ( {low_pps.pps} pps ) By: {latest_data.low_pps[0]['name'].upper()}\n"
-            f'APM: {latest_data.low_apm[1]} By: {latest_data.low_apm[0]["name"].upper()}\n'
-            f'ADPM: {low_vs.adpm} ( {low_vs.vs}vs ) By: {latest_data.low_vs[0]["name"].upper()}\n'
-            '\n'
-            '最高数据:\n'
-            f"L'PM: {max_pps.lpm} ( {max_pps.pps} pps ) By: {latest_data.high_pps[0]['name'].upper()}\n"
-            f'APM: {latest_data.high_apm[1]} By: {latest_data.high_apm[0]["name"].upper()}\n'
-            f'ADPM: {max_vs.adpm} ( {max_vs.vs}vs ) By: {latest_data.high_vs[0]["name"].upper()}\n'
-            '\n'
-            f'数据更新时间: {latest_data.update_time.replace(tzinfo=UTC).astimezone(ZoneInfo("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")}'
-        )
-        await matcher.finish(message)
-
-
-@scheduler.scheduled_job('cron', hour='0,6,12,18', minute=0)
-@retry(exception_type=RequestError, delay=timedelta(minutes=15))
-async def get_tetra_league_data() -> None:
-    league, original = await full_export(with_original=True)
-    if isinstance(league, FailedModel):
-        msg = f'排行榜数据请求错误:\n{league.error}'
-        raise RequestError(msg)
-
-    def pps(user: ValidUser) -> float:
-        return user.league.pps
-
-    def apm(user: ValidUser) -> float:
-        return user.league.apm
-
-    def vs(user: ValidUser) -> float:
-        return user.league.vs
-
-    def _min(users: list[ValidUser], field: Callable[[ValidUser], float]) -> ValidUser:
-        return min(users, key=field)
-
-    def _max(users: list[ValidUser], field: Callable[[ValidUser], float]) -> ValidUser:
-        return max(users, key=field)
-
-    def build_extremes_data(
-        users: list[ValidUser],
-        field: Callable[[ValidUser], float],
-        sort: Callable[[list[ValidUser], Callable[[ValidUser], float]], ValidUser],
-    ) -> tuple[dict[str, str], float]:
-        user = sort(users, field)
-        return model_dump(User(ID=user.id, name=user.username)), field(user)
-
-    data_hash: str | None = await run_sync((await run_sync(sha512)(original)).hexdigest)()
-    async with open(get_data_file('nonebot_plugin_tetris_stats', f'{data_hash}.json.zst'), mode='wb') as file:
-        await file.write(await run_sync(ZstdCompressor(level=12, threads=-1).compress)(original))
-
-    users = [i for i in league.data.users if isinstance(i, ValidUser)]
-    rank_to_users: defaultdict[Rank, list[ValidUser]] = defaultdict(list)
-    for i in users:
-        rank_to_users[i.league.rank].append(i)
-    rank_info: list[IORank] = []
-    for rank, percentile in RANK_PERCENTILE.items():
-        offset = floor((percentile / 100) * len(users)) - 1
-        tr_line = users[offset].league.rating
-        rank_users = rank_to_users[rank]
-        rank_info.append(
-            IORank(
-                rank=rank,
-                tr_line=tr_line,
-                player_count=len(rank_users),
-                low_pps=(build_extremes_data(rank_users, pps, _min)),
-                low_apm=(build_extremes_data(rank_users, apm, _min)),
-                low_vs=(build_extremes_data(rank_users, vs, _min)),
-                avg_pps=mean({i.league.pps for i in rank_users}),
-                avg_apm=mean({i.league.apm for i in rank_users}),
-                avg_vs=mean({i.league.vs for i in rank_users}),
-                high_pps=(build_extremes_data(rank_users, pps, _max)),
-                high_apm=(build_extremes_data(rank_users, apm, _max)),
-                high_vs=(build_extremes_data(rank_users, vs, _max)),
-                update_time=league.cache.cached_at,
-                file_hash=data_hash,
-            )
-        )
-    async with get_session() as session:
-        session.add_all(rank_info)
-        await session.commit()
-
-
-@driver.on_startup
-async def _() -> None:
-    async with get_session() as session:
-        latest_time = await session.scalar(select(IORank.update_time).order_by(IORank.id.desc()).limit(1))
-    if latest_time is None or datetime.now(tz=UTC) - latest_time.replace(tzinfo=UTC) > timedelta(hours=6):
-        await get_tetra_league_data()

nonebot_plugin_tetris_stats/games/tetrio/rank/__init__.py

@@ -0,0 +1,197 @@
+from collections import defaultdict
+from collections.abc import Callable, Iterator, Sequence
+from datetime import datetime, timedelta, timezone
+from math import floor
+from statistics import mean
+from typing import TYPE_CHECKING, TypeVar
+from uuid import uuid4
+
+from nonebot import get_driver
+from nonebot_plugin_alconna import Subcommand
+from nonebot_plugin_apscheduler import scheduler
+from nonebot_plugin_orm import get_session
+from sqlalchemy import select
+
+from ....config.config import config
+from ....utils.exception import RequestError
+from ....utils.retry import retry
+from .. import alc
+from .. import command as base_command
+from ..api.leaderboards import by
+from ..api.schemas.base import P
+from ..api.schemas.leaderboards import Parameter
+from ..api.schemas.leaderboards.by import Entry
+from ..constant import RANK_PERCENTILE
+from ..models import (
+    TETRIOLeagueHistorical,
+    TETRIOLeagueStats,
+    TETRIOLeagueStatsField,
+    TETRIOLeagueUserMap,
+    TETRIOUserUniqueIdentifier,
+)
+
+if TYPE_CHECKING:
+    from ..api.schemas.leaderboards.by import BySuccessModel
+    from ..api.typedefs import Rank
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+
+command = Subcommand('rank', help_text='查询 TETR.IO 段位信息')
+
+
+def wrapper(slot: int | str, content: str | None) -> str | None:
+    if slot == 'rank' and not content:
+        return '--all'
+    if content is not None:
+        return f'--detail {content.lower()}'
+    return content
+
+
+alc.shortcut(
+    r'(?i:io)(?i:段位|段|rank)\s*(?P<rank>[a-zA-Z+-]{0,2})',
+    command='tstats TETR.IO rank {rank}',
+    humanized='iorank',
+    fuzzy=False,
+    wrapper=wrapper,
+)
+
+
+def _pps(user: Entry) -> float:
+    return user.league.pps
+
+
+def _apm(user: Entry) -> float:
+    return user.league.apm
+
+
+def _vs(user: Entry) -> float:
+    return user.league.vs
+
+
+def _min(users: Sequence[Entry], field: Callable[[Entry], float]) -> Entry:
+    return min(users, key=field)
+
+
+def _max(users: Sequence[Entry], field: Callable[[Entry], float]) -> Entry:
+    return max(users, key=field)
+
+
+def find_special_player(
+    users: Sequence[Entry],
+    field: Callable[[Entry], float],
+    sort: Callable[[Sequence[Entry], Callable[[Entry], float]], Entry],
+) -> Entry:
+    return sort(users, field)
+
+
+T = TypeVar('T')
+
+
+def _chunked(values: list[T], size: int) -> Iterator[list[T]]:
+    for i in range(0, len(values), size):
+        yield values[i : i + size]
+
+
+@scheduler.scheduled_job('cron', hour='0,6,12,18', minute=0)
+async def get_tetra_league_data() -> None:
+    x_session_id = uuid4()
+    retry_by = retry(max_attempts=10, exception_type=RequestError)(by)
+    prisecter = P(pri=9007199254740991, sec=9007199254740991, ter=9007199254740991)  # * from ch.tetr.io
+    results: list[BySuccessModel] = []
+    while True:
+        model = await retry_by('league', Parameter(after=prisecter.to_prisecter(), limit=100), x_session_id)
+        prisecter = model.data.entries[-1].p
+        results.append(model)
+        if len(model.data.entries) < 100:  # 分页值 # noqa: PLR2004
+            break
+
+    players = [i for result in results for i in result.data.entries if isinstance(i, Entry)]
+    players.sort(key=lambda x: x.league.tr, reverse=True)
+
+    rank_player_mapping: defaultdict[Rank, list[Entry]] = defaultdict(list)
+    for player in players:
+        rank_player_mapping[player.league.rank].append(player)
+
+    stats = TETRIOLeagueStats(raw=[], fields=[], update_time=datetime.now(UTC))
+    fields: list[TETRIOLeagueStatsField] = []
+    for rank, percentile in RANK_PERCENTILE.items():
+        offset = floor((percentile / 100) * len(players)) - 1
+        tr_line = players[offset].league.tr
+        rank_players = rank_player_mapping[rank]
+        fields.append(
+            TETRIOLeagueStatsField(
+                rank=rank,
+                tr_line=tr_line,
+                player_count=len(rank_players),
+                low_pps=find_special_player(rank_players, _pps, _min),
+                low_apm=find_special_player(rank_players, _apm, _min),
+                low_vs=find_special_player(rank_players, _vs, _min),
+                avg_pps=mean(_pps(i) for i in rank_players),
+                avg_apm=mean(_apm(i) for i in rank_players),
+                avg_vs=mean(_vs(i) for i in rank_players),
+                high_pps=find_special_player(rank_players, _pps, _max),
+                high_apm=find_special_player(rank_players, _apm, _max),
+                high_vs=find_special_player(rank_players, _vs, _max),
+                stats=stats,
+            )
+        )
+    historicals = [
+        TETRIOLeagueHistorical(request_id=x_session_id, data=model, update_time=model.cache.cached_at, stats=stats)
+        for model in results
+    ]
+    stats.raw = historicals
+    stats.fields = fields
+    player_ids = {i.id for result in results for i in result.data.entries}
+    async with get_session() as session:
+        session.add(stats)
+        existing_ids: list[TETRIOUserUniqueIdentifier] = []
+        for chunk in _chunked(list(player_ids), 500):
+            existing_ids.extend(
+                (
+                    await session.scalars(
+                        select(TETRIOUserUniqueIdentifier).filter(
+                            TETRIOUserUniqueIdentifier.user_unique_identifier.in_(chunk)
+                        )
+                    )
+                ).all()
+            )
+        new_ids = [
+            TETRIOUserUniqueIdentifier(user_unique_identifier=i)
+            for i in player_ids - {i.user_unique_identifier for i in existing_ids}
+        ]
+        session.add_all(new_ids)
+        await session.flush()
+        uid_mapping = {i.user_unique_identifier: i.id for i in list(existing_ids) + new_ids}
+        maps: list[TETRIOLeagueUserMap] = []
+        for i in stats.raw:
+            for index, entry in enumerate(i.data.data.entries):
+                maps.append(
+                    TETRIOLeagueUserMap(
+                        stats_id=stats.id, uid_id=uid_mapping[entry.id], hist_id=i.id, entry_index=index
+                    )
+                )
+            session.add_all(maps)
+            maps.clear()
+        await session.commit()
+
+
+if not config.tetris.dev.enabled:
+
+    @driver.on_startup
+    async def _() -> None:
+        async with get_session() as session:
+            latest_time = await session.scalar(
+                select(TETRIOLeagueStats.update_time).order_by(TETRIOLeagueStats.id.desc()).limit(1)
+            )
+        if latest_time is None or datetime.now(tz=UTC) - latest_time.replace(tzinfo=UTC) > timedelta(hours=6):
+            await get_tetra_league_data()
+
+
+from . import all, detail  # noqa: A004, E402
+
+base_command.add(command)
+
+__all__ = ['all', 'detail']

nonebot_plugin_tetris_stats/games/tetrio/rank/all.py

@@ -0,0 +1,156 @@
+from datetime import timedelta
+
+from arclet.alconna import Arg
+from nonebot_plugin_alconna import Option, Subcommand, UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_uninfo import Uninfo
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from sqlalchemy import select
+from sqlalchemy.orm import selectinload
+
+from ....db import trigger
+from ....utils.lang import get_lang
+from ....utils.metrics import get_metrics
+from ....utils.render import render_image
+from ....utils.render.schemas.v1.tetrio.rank import Data as DataV1
+from ....utils.render.schemas.v1.tetrio.rank import ItemData as ItemDataV1
+from ....utils.render.schemas.v2.tetrio.rank import AverageData as AverageDataV2
+from ....utils.render.schemas.v2.tetrio.rank import Data as DataV2
+from ....utils.render.schemas.v2.tetrio.rank import ItemData as ItemDataV2
+from .. import alc
+from ..constant import GAME_TYPE
+from ..models import TETRIOLeagueStats
+from ..typedefs import Template
+from . import command
+
+command.add(
+    Subcommand(
+        '--all', Option('--template', Arg('template', Template), alias=['-T'], help_text='要使用的查询模板'), dest='all'
+    )
+)
+
+
+@alc.assign('TETRIO.rank.all')
+async def _(event_session: Uninfo, template: Template | None = None):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='rank',
+        command_args=['--all'] + ([f'--template {template}'] if template is not None else []),
+    ):
+        async with get_session() as session:
+            # 获取最新记录
+            latest_data = (
+                await session.scalars(
+                    select(TETRIOLeagueStats)
+                    .order_by(TETRIOLeagueStats.id.desc())
+                    .limit(1)
+                    .options(selectinload(TETRIOLeagueStats.fields))
+                )
+            ).one()
+
+            # 计算目标时间点 (24小时前)
+            target_time = latest_data.update_time - timedelta(hours=24)
+
+            # 查询目标时间点之前的最近记录
+            before = (
+                await session.scalar(
+                    select(TETRIOLeagueStats)
+                    .where(TETRIOLeagueStats.update_time <= target_time)
+                    .order_by(TETRIOLeagueStats.update_time.desc())
+                    .limit(1)
+                    .options(selectinload(TETRIOLeagueStats.fields))
+                )
+                or latest_data
+            )
+
+            # 查询目标时间点之后的最近记录
+            after = (
+                await session.scalar(
+                    select(TETRIOLeagueStats)
+                    .where(TETRIOLeagueStats.update_time >= target_time)  # 使用 >= 避免间隙
+                    .order_by(TETRIOLeagueStats.update_time.asc())
+                    .limit(1)
+                    .options(selectinload(TETRIOLeagueStats.fields))
+                )
+                or latest_data
+            )
+
+            # 确定最接近的记录
+            compare_data = (
+                before
+                if abs((target_time - before.update_time).total_seconds())
+                < abs((target_time - after.update_time).total_seconds())
+                else after
+            )
+
+        match template:
+            case 'v1' | None:
+                await UniMessage.image(raw=await make_image_v1(latest_data, compare_data)).finish()
+            case 'v2':
+                await UniMessage.image(raw=await make_image_v2(latest_data, compare_data)).finish()
+
+
+_RANK_ORDER_INDEX = {
+    v: i
+    for i, v in enumerate(
+        ('x+', 'x', 'u', 'ss', 's+', 's', 's-', 'a+', 'a', 'a-', 'b+', 'b', 'b-', 'c+', 'c', 'c-', 'd+', 'd', 'z')
+    )
+}
+
+
+def _rank_sort_key(rank: str) -> int:
+    try:
+        return _RANK_ORDER_INDEX[rank]
+    except KeyError as e:
+        msg = f'未知段位: {rank!r}'
+        raise ValueError(msg) from e
+
+
+async def make_image_v1(latest_data: TETRIOLeagueStats, compare_data: TETRIOLeagueStats) -> bytes:
+    return await render_image(
+        DataV1(
+            items={
+                i[0].rank: ItemDataV1(
+                    trending=round(i[0].tr_line - i[1].tr_line, 2),
+                    require_tr=round(i[0].tr_line, 2),
+                    players=i[0].player_count,
+                )
+                for i in zip(
+                    sorted(latest_data.fields, key=lambda x: _rank_sort_key(x.rank)),
+                    sorted(compare_data.fields, key=lambda x: _rank_sort_key(x.rank)),
+                    strict=True,
+                )
+            },
+            updated_at=latest_data.update_time,
+            lang=get_lang(),
+        ),
+    )
+
+
+async def make_image_v2(latest_data: TETRIOLeagueStats, compare_data: TETRIOLeagueStats) -> bytes:
+    return await render_image(
+        DataV2(
+            items={
+                i[0].rank: ItemDataV2(
+                    require_tr=round(i[0].tr_line, 2),
+                    trending=round(i[0].tr_line - i[1].tr_line, 2),
+                    average_data=AverageDataV2(
+                        pps=(metrics := get_metrics(pps=i[0].avg_pps, apm=i[0].avg_apm, vs=i[0].avg_vs)).pps,
+                        apm=metrics.apm,
+                        apl=metrics.apl,
+                        vs=metrics.vs,
+                        adpl=metrics.adpl,
+                    ),
+                    players=i[0].player_count,
+                )
+                for i in zip(
+                    sorted(latest_data.fields, key=lambda x: _rank_sort_key(x.rank)),
+                    sorted(compare_data.fields, key=lambda x: _rank_sort_key(x.rank)),
+                    strict=True,
+                )
+            },
+            updated_at=latest_data.update_time,
+            lang=get_lang(),
+        ),
+    )

nonebot_plugin_tetris_stats/games/tetrio/rank/detail.py

@@ -0,0 +1,147 @@
+from datetime import timedelta, timezone
+from zoneinfo import ZoneInfo
+
+from arclet.alconna import Arg
+from nonebot import get_driver
+from nonebot_plugin_alconna import Option, UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_uninfo import Uninfo
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from sqlalchemy import select
+from sqlalchemy.orm import selectinload
+
+from ....db import trigger
+from ....utils.lang import get_lang
+from ....utils.metrics import get_metrics
+from ....utils.render import render_image
+from ....utils.render.schemas.v2.tetrio.rank.detail import Data, SpecialData
+from .. import alc
+from ..api.typedefs import ValidRank
+from ..constant import GAME_TYPE
+from ..models import TETRIOLeagueStats
+from . import command
+
+UTC = timezone.utc
+
+driver = get_driver()
+
+command.add(Option('--detail', Arg('rank', ValidRank), alias=['-D']))
+
+
+@alc.assign('TETRIO.rank')
+async def _(rank: ValidRank, event_session: Uninfo):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='rank',
+        command_args=[f'--detail {rank}'],
+    ):
+        async with get_session() as session:
+            # 获取最新记录
+            latest_data = (
+                await session.scalars(
+                    select(TETRIOLeagueStats)
+                    .order_by(TETRIOLeagueStats.id.desc())
+                    .limit(1)
+                    .options(selectinload(TETRIOLeagueStats.fields))
+                )
+            ).one()
+
+            # 计算目标时间点 (24小时前)
+            target_time = latest_data.update_time - timedelta(hours=24)
+
+            # 查询目标时间点之前的最近记录
+            before = (
+                await session.scalar(
+                    select(TETRIOLeagueStats)
+                    .where(TETRIOLeagueStats.update_time <= target_time)
+                    .order_by(TETRIOLeagueStats.update_time.desc())
+                    .limit(1)
+                    .options(selectinload(TETRIOLeagueStats.fields))
+                )
+                or latest_data  # 回退到最新记录
+            )
+
+            # 查询目标时间点之后的最近记录
+            after = (
+                await session.scalar(
+                    select(TETRIOLeagueStats)
+                    .where(TETRIOLeagueStats.update_time >= target_time)
+                    .order_by(TETRIOLeagueStats.update_time.asc())
+                    .limit(1)
+                    .options(selectinload(TETRIOLeagueStats.fields))
+                )
+                or latest_data  # 回退到最新记录
+            )
+
+            # 确定最接近的记录
+            compare_data = (
+                before
+                if abs((target_time - before.update_time).total_seconds())
+                < abs((target_time - after.update_time).total_seconds())
+                else after
+            )
+        await UniMessage.image(
+            raw=await make_image(
+                rank,
+                latest_data,
+                compare_data,
+            )
+        ).finish()
+
+
+async def make_image(rank: ValidRank, latest: TETRIOLeagueStats, compare: TETRIOLeagueStats) -> bytes:
+    latest_data = next(filter(lambda x: x.rank == rank, latest.fields))
+    compare_data = next(filter(lambda x: x.rank == rank, compare.fields))
+    avg = get_metrics(pps=latest_data.avg_pps, apm=latest_data.avg_apm, vs=latest_data.avg_vs)
+    low_pps = get_metrics(
+        pps=latest_data.low_pps.league.pps, apm=latest_data.low_pps.league.apm, vs=latest_data.low_pps.league.vs
+    )
+    low_apm = get_metrics(
+        pps=latest_data.low_apm.league.pps, apm=latest_data.low_apm.league.apm, vs=latest_data.low_apm.league.vs
+    )
+    low_vs = get_metrics(
+        pps=latest_data.low_vs.league.pps, apm=latest_data.low_vs.league.apm, vs=latest_data.low_vs.league.vs
+    )
+    max_pps = get_metrics(
+        pps=latest_data.high_pps.league.pps, apm=latest_data.high_pps.league.apm, vs=latest_data.high_pps.league.vs
+    )
+    max_apm = get_metrics(
+        pps=latest_data.high_apm.league.pps, apm=latest_data.high_apm.league.apm, vs=latest_data.high_apm.league.vs
+    )
+    max_vs = get_metrics(
+        pps=latest_data.high_vs.league.pps, apm=latest_data.high_vs.league.apm, vs=latest_data.high_vs.league.vs
+    )
+    return await render_image(
+        Data(
+            name=latest_data.rank,
+            trending=round(latest_data.tr_line - compare_data.tr_line, 2),
+            require_tr=round(latest_data.tr_line, 2),
+            players=latest_data.player_count,
+            minimum_data=SpecialData(
+                apm=low_apm.apm,
+                pps=low_pps.pps,
+                lpm=low_pps.lpm,
+                vs=low_vs.vs,
+                adpm=low_vs.adpm,
+                apm_holder=latest_data.low_apm.username.upper(),
+                pps_holder=latest_data.low_pps.username.upper(),
+                vs_holder=latest_data.low_vs.username.upper(),
+            ),
+            average_data=SpecialData(
+                apm=avg.apm, pps=avg.pps, lpm=avg.lpm, vs=avg.vs, adpm=avg.adpm, apl=avg.apl, adpl=avg.adpl
+            ),
+            maximum_data=SpecialData(
+                apm=max_apm.apm,
+                pps=max_pps.pps,
+                lpm=max_pps.lpm,
+                vs=max_vs.vs,
+                adpm=max_vs.adpm,
+                apm_holder=latest_data.high_apm.username.upper(),
+                pps_holder=latest_data.high_pps.username.upper(),
+                vs_holder=latest_data.high_vs.username.upper(),
+            ),
+            updated_at=latest.update_time.replace(tzinfo=UTC).astimezone(ZoneInfo('Asia/Shanghai')),
+            lang=get_lang(),
+        ),
+    )

nonebot_plugin_tetris_stats/games/tetrio/record/__init__.py

@@ -0,0 +1,33 @@
+from arclet.alconna import Arg, ArgFlag
+from nonebot_plugin_alconna import Args, At, Subcommand
+
+from ....utils.typedefs import Me
+from .. import command as base_command
+from .. import get_player
+
+command = Subcommand(
+    'record',
+    Args(
+        Arg(
+            'target',
+            At | Me,
+            notice='@想要查询的人 / 自己',
+            flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+        ),
+        Arg(
+            'account',
+            get_player,
+            notice='TETR.IO 用户名 / ID',
+            flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
+        ),
+    ),
+)
+
+from . import blitz, sprint  # noqa: E402
+
+base_command.add(command)
+
+__all__ = [
+    'blitz',
+    'sprint',
+]

nonebot_plugin_tetris_stats/games/tetrio/record/blitz.py

@@ -0,0 +1,148 @@
+from asyncio import gather
+from datetime import timedelta
+from hashlib import md5
+
+from nonebot.adapters import Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At, Option
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_uninfo import Uninfo
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from nonebot_plugin_user import get_user
+from yarl import URL
+
+from ....db import query_bind_info, trigger
+from ....i18n import Lang
+from ....utils.exception import RecordNotFoundError
+from ....utils.host import get_self_netloc
+from ....utils.lang import get_lang
+from ....utils.metrics import get_metrics
+from ....utils.render import render_image
+from ....utils.render.schemas.base import Avatar
+from ....utils.render.schemas.v2.tetrio.record.base import Finesse, Max, Mini, Tspins, User
+from ....utils.render.schemas.v2.tetrio.record.blitz import Record, Statistic
+from ....utils.typedefs import Me
+from .. import alc
+from ..api.player import Player
+from ..constant import GAME_TYPE
+from . import command
+
+command.add(Option('--blitz', dest='blitz'))
+
+alc.shortcut(
+    '(?i:io)(?i:记录|record)(?i:blitz)',
+    command='tstats TETR.IO record --blitz',
+    humanized='io记录blitz',
+)
+
+
+@alc.assign('TETRIO.record.blitz')
+async def _(
+    event: Event,
+    matcher: Matcher,
+    target: At | Me,
+    event_session: Uninfo,
+):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='record',
+        command_args=['--blitz'],
+    ):
+        async with get_session() as session:
+            bind = await query_bind_info(
+                session=session,
+                user=await get_user(
+                    event_session.scope, target.target if isinstance(target, At) else event.get_user_id()
+                ),
+                game_platform=GAME_TYPE,
+            )
+        if bind is None:
+            await matcher.finish(Lang.bind.not_found())
+        player = Player(user_id=bind.game_account, trust=True)
+        await (
+            UniMessage.i18n(Lang.interaction.warning.unverified) + UniMessage.image(raw=await make_blitz_image(player))
+        ).finish()
+
+
+@alc.assign('TETRIO.record.blitz')
+async def _(account: Player, event_session: Uninfo):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='record',
+        command_args=['--blitz'],
+    ):
+        await UniMessage.image(raw=await make_blitz_image(account)).finish()
+
+
+async def make_blitz_image(player: Player) -> bytes:
+    user, blitz = await gather(player.user, player.blitz)
+    if blitz.data.record is None:
+        msg = Lang.record.not_found(username=user.name.upper(), mode=Lang.record.blitz())
+        raise RecordNotFoundError(msg)
+    stats = blitz.data.record.results.stats
+    clears = stats.clears
+    duration = timedelta(milliseconds=stats.finaltime).total_seconds()
+    metrics = get_metrics(pps=stats.piecesplaced / duration)
+    netloc = get_self_netloc()
+    return await render_image(
+        Record(
+            type='best',
+            user=User(
+                id=user.ID,
+                name=user.name.upper(),
+                avatar=str(
+                    URL(f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}') % {'revision': avatar_revision}
+                )
+                if (avatar_revision := (await player.avatar_revision)) is not None and avatar_revision != 0
+                else Avatar(
+                    type='identicon',
+                    hash=md5(user.ID.encode()).hexdigest(),  # noqa: S324
+                ),
+            ),
+            replay_id=blitz.data.record.replayid,
+            rank=blitz.data.rank,
+            personal_rank=1,
+            statistic=Statistic(
+                keys=stats.inputs,
+                kpp=round(stats.inputs / stats.piecesplaced, 2),
+                kps=round(stats.inputs / duration, 2),
+                max=Max(
+                    combo=max((0, stats.topcombo - 1)),
+                    btb=max((0, stats.topbtb - 1)),
+                ),
+                pieces=stats.piecesplaced,
+                pps=metrics.pps,
+                lines=stats.lines,
+                lpm=metrics.lpm,
+                holds=stats.holds,
+                score=stats.score,
+                spp=round(stats.score / stats.piecesplaced, 2),
+                single=clears.singles,
+                double=clears.doubles,
+                triple=clears.triples,
+                quad=clears.quads,
+                tspins=Tspins(
+                    total=clears.realtspins,
+                    single=clears.tspinsingles,
+                    double=clears.tspindoubles,
+                    triple=clears.tspintriples,
+                    mini=Mini(
+                        total=clears.minitspins,
+                        single=clears.minitspinsingles,
+                        double=clears.minitspindoubles,
+                    ),
+                ),
+                all_clear=clears.allclear,
+                finesse=Finesse(
+                    faults=stats.finesse.faults,
+                    accuracy=round(stats.finesse.perfectpieces / stats.piecesplaced * 100, 2),
+                ),
+                level=stats.level,
+            ),
+            play_at=blitz.data.record.ts,
+            lang=get_lang(),
+        ),
+    )

nonebot_plugin_tetris_stats/games/tetrio/record/sprint.py

@@ -0,0 +1,148 @@
+from asyncio import gather
+from datetime import timedelta
+from hashlib import md5
+
+from nonebot.adapters import Event
+from nonebot.matcher import Matcher
+from nonebot_plugin_alconna import At, Option
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_uninfo import Uninfo
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from nonebot_plugin_user import get_user
+from yarl import URL
+
+from ....db import query_bind_info, trigger
+from ....i18n import Lang
+from ....utils.exception import RecordNotFoundError
+from ....utils.host import get_self_netloc
+from ....utils.lang import get_lang
+from ....utils.metrics import get_metrics
+from ....utils.render import render_image
+from ....utils.render.schemas.base import Avatar
+from ....utils.render.schemas.v2.tetrio.record.base import Finesse, Max, Mini, Statistic, Tspins, User
+from ....utils.render.schemas.v2.tetrio.record.sprint import Record
+from ....utils.typedefs import Me
+from .. import alc
+from ..api.player import Player
+from ..constant import GAME_TYPE
+from . import command
+
+command.add(Option('--40l', dest='sprint'))
+
+alc.shortcut(
+    '(?i:io)(?i:记录|record)(?i:40l)',
+    command='tstats TETR.IO record --40l',
+    humanized='io记录40l',
+)
+
+
+@alc.assign('TETRIO.record.sprint')
+async def _(
+    event: Event,
+    matcher: Matcher,
+    target: At | Me,
+    event_session: Uninfo,
+):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='record',
+        command_args=['--40l'],
+    ):
+        async with get_session() as session:
+            bind = await query_bind_info(
+                session=session,
+                user=await get_user(
+                    event_session.scope, target.target if isinstance(target, At) else event.get_user_id()
+                ),
+                game_platform=GAME_TYPE,
+            )
+        if bind is None:
+            await matcher.finish(Lang.bind.not_found())
+        player = Player(user_id=bind.game_account, trust=True)
+        await (
+            UniMessage.i18n(Lang.interaction.warning.unverified) + UniMessage.image(raw=await make_sprint_image(player))
+        ).finish()
+
+
+@alc.assign('TETRIO.record.sprint')
+async def _(account: Player, event_session: Uninfo):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='record',
+        command_args=['--40l'],
+    ):
+        await UniMessage.image(raw=await make_sprint_image(account)).finish()
+
+
+async def make_sprint_image(player: Player) -> bytes:
+    user, sprint = await gather(player.user, player.sprint)
+    if sprint.data.record is None:
+        msg = Lang.record.not_found(username=user.name.upper(), mode=Lang.record.sprint())
+        raise RecordNotFoundError(msg)
+    stats = sprint.data.record.results.stats
+    clears = stats.clears
+    duration = timedelta(milliseconds=stats.finaltime).total_seconds()
+    sprint_value = f'{duration:.3f}s' if duration < 60 else f'{duration // 60:.0f}m {duration % 60:.3f}s'  # noqa: PLR2004
+    metrics = get_metrics(pps=stats.piecesplaced / duration)
+    netloc = get_self_netloc()
+    return await render_image(
+        Record(
+            type='best',
+            user=User(
+                id=user.ID,
+                name=user.name.upper(),
+                avatar=str(
+                    URL(f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}') % {'revision': avatar_revision}
+                )
+                if (avatar_revision := (await player.avatar_revision)) is not None and avatar_revision != 0
+                else Avatar(
+                    type='identicon',
+                    hash=md5(user.ID.encode()).hexdigest(),  # noqa: S324
+                ),
+            ),
+            time=sprint_value,
+            replay_id=sprint.data.record.replayid,
+            rank=sprint.data.rank,
+            personal_rank=1,
+            statistic=Statistic(
+                keys=stats.inputs,
+                kpp=round(stats.inputs / stats.piecesplaced, 2),
+                kps=round(stats.inputs / duration, 2),
+                max=Max(
+                    combo=max((0, stats.topcombo - 1)),
+                    btb=max((0, stats.topbtb - 1)),
+                ),
+                pieces=stats.piecesplaced,
+                pps=metrics.pps,
+                lines=stats.lines,
+                lpm=metrics.lpm,
+                holds=stats.holds,
+                score=stats.score,
+                single=clears.singles,
+                double=clears.doubles,
+                triple=clears.triples,
+                quad=clears.quads,
+                tspins=Tspins(
+                    total=clears.realtspins,
+                    single=clears.tspinsingles,
+                    double=clears.tspindoubles,
+                    triple=clears.tspintriples,
+                    mini=Mini(
+                        total=clears.minitspins,
+                        single=clears.minitspinsingles,
+                        double=clears.minitspindoubles,
+                    ),
+                ),
+                all_clear=clears.allclear,
+                finesse=Finesse(
+                    faults=stats.finesse.faults,
+                    accuracy=round(stats.finesse.perfectpieces / stats.piecesplaced * 100, 2),
+                ),
+            ),
+            play_at=sprint.data.record.ts,
+            lang=get_lang(),
+        ),
+    )

nonebot_plugin_tetris_stats/games/tetrio/unbind.py

@@ -0,0 +1,85 @@
+from hashlib import md5
+from secrets import choice
+
+from nonebot_plugin_alconna import Subcommand
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_uninfo import QryItrface, Uninfo
+from nonebot_plugin_uninfo import User as UninfoUser
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from nonebot_plugin_user import User
+from nonebot_plugin_waiter import suggest  # type: ignore[import-untyped]
+from yarl import URL
+
+from ...config.config import global_config
+from ...db import query_bind_info, remove_bind, trigger
+from ...i18n import Lang
+from ...utils.host import get_self_netloc
+from ...utils.image import get_avatar
+from ...utils.lang import get_lang
+from ...utils.render import render_image
+from ...utils.render.schemas.base import Avatar, People
+from ...utils.render.schemas.bind import Bind
+from . import alc, command
+from .api import Player
+from .constant import GAME_TYPE
+
+command.add(Subcommand('unbind', help_text='解除绑定 TETR.IO 账号'))
+
+alc.shortcut(
+    '(?i:io)(?i:解除绑定|解绑|unbind)',
+    command='tstats TETR.IO unbind',
+    humanized='io解绑',
+)
+
+
+@alc.assign('TETRIO.unbind')
+async def _(nb_user: User, event_session: Uninfo, interface: QryItrface):
+    async with (
+        trigger(
+            session_persist_id=await get_session_persist_id(event_session),
+            game_platform=GAME_TYPE,
+            command_type='unbind',
+            command_args=[],
+        ),
+        get_session() as session,
+    ):
+        if (bind := await query_bind_info(session=session, user=nb_user, game_platform=GAME_TYPE)) is None:
+            await UniMessage(Lang.bind.no_account(game='TETR.IO')).finish()
+        resp = await suggest(Lang.bind.confirm_unbind(), ['是', '否'])
+        if resp is None or resp.extract_plain_text() == '否':
+            return
+        player = Player(user_id=bind.game_account, trust=True)
+        user = await player.user
+        netloc = get_self_netloc()
+        await UniMessage.image(
+            raw=await render_image(
+                Bind(
+                    platform='TETR.IO',
+                    type='unlink',
+                    user=People(
+                        avatar=str(
+                            URL(f'http://{netloc}/host/resource/tetrio/avatars/{user.ID}')
+                            % {'revision': avatar_revision}
+                        )
+                        if (avatar_revision := (await player.avatar_revision)) is not None and avatar_revision != 0
+                        else Avatar(type='identicon', hash=md5(user.ID.encode()).hexdigest()),  # noqa: S324
+                        name=user.name.upper(),
+                    ),
+                    bot=People(
+                        avatar=await get_avatar(
+                            (
+                                bot_user := await interface.get_user(event_session.self_id)
+                                or UninfoUser(id=event_session.self_id)
+                            ),
+                            'Data URI',
+                            '../../static/logo/logo.svg',
+                        ),
+                        name=bot_user.nick or bot_user.name or choice(list(global_config.nickname) or ['bot']),
+                    ),
+                    prompt=Lang.prompt.io_bind(),
+                    lang=get_lang(),
+                ),
+            )
+        ).send()
+        await remove_bind(session=session, user=nb_user, game_platform=GAME_TYPE)

nonebot_plugin_tetris_stats/games/tetrio/verify.py

@@ -0,0 +1,111 @@
+from asyncio import gather
+from hashlib import md5
+from secrets import choice
+
+from nonebot_plugin_alconna import Subcommand
+from nonebot_plugin_alconna.uniseg import UniMessage
+from nonebot_plugin_orm import get_session
+from nonebot_plugin_uninfo import QryItrface, Uninfo
+from nonebot_plugin_uninfo import User as UninfoUser
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from nonebot_plugin_user import User
+from yarl import URL
+
+from ...config.config import global_config
+from ...db import create_or_update_bind, query_bind_info, trigger
+from ...i18n import Lang
+from ...utils.host import get_self_netloc
+from ...utils.image import get_avatar
+from ...utils.lang import get_lang
+from ...utils.render import render_image
+from ...utils.render.schemas.base import Avatar, People
+from ...utils.render.schemas.bind import Bind
+from . import alc, command
+from .api import Player
+from .constant import GAME_TYPE
+
+command.add(Subcommand('verify', help_text='验证 TETR.IO 账号'))
+
+alc.shortcut(
+    '(?i:io)(?i:验证|verify)',
+    command='tstats TETR.IO verify',
+    humanized='io验证',
+)
+
+try:
+    from nonebot.adapters.discord import MessageCreateEvent
+
+    @alc.assign('TETRIO.verify')
+    async def _(_: MessageCreateEvent, nb_user: User, event_session: Uninfo, interface: QryItrface):
+        async with (
+            trigger(
+                session_persist_id=await get_session_persist_id(event_session),
+                game_platform=GAME_TYPE,
+                command_type='verify',
+                command_args=[],
+            ),
+            get_session() as session,
+        ):
+            if (bind := await query_bind_info(session=session, user=nb_user, game_platform=GAME_TYPE)) is None:
+                await UniMessage(Lang.bind.no_account(game='TETR.IO')).finish()
+            if bind.verify is True:
+                await UniMessage(Lang.bind.verify_already()).finish()
+            player = Player(user_id=bind.game_account, trust=True)
+            user_info = await player.get_info()
+            verify = (
+                user_info.data.connections.discord is not None
+                and user_info.data.connections.discord.id == event_session.user.id
+            )
+            if verify is False:
+                await UniMessage(Lang.bind.verify_failed(game='TETR.IO')).finish()
+            await create_or_update_bind(
+                session=session,
+                user=nb_user,
+                game_platform=GAME_TYPE,
+                game_account=bind.game_account,
+                verify=verify,
+            )
+            user, avatar_revision = await gather(player.user, player.avatar_revision)
+            await UniMessage.image(
+                raw=await render_image(
+                    Bind(
+                        platform='TETR.IO',
+                        type='success',
+                        user=People(
+                            avatar=str(
+                                URL(f'http://{get_self_netloc()}/host/resource/tetrio/avatars/{user.ID}')
+                                % {'revision': avatar_revision}
+                            )
+                            if avatar_revision is not None and avatar_revision != 0
+                            else Avatar(type='identicon', hash=md5(user.ID.encode()).hexdigest()),  # noqa: S324
+                            name=user.name.upper(),
+                        ),
+                        bot=People(
+                            avatar=await get_avatar(
+                                (
+                                    bot_user := await interface.get_user(event_session.self_id)
+                                    or UninfoUser(id=event_session.self_id)
+                                ),
+                                'Data URI',
+                                '../../static/logo/logo.svg',
+                            ),
+                            name=bot_user.nick or bot_user.name or choice(list(global_config.nickname) or ['bot']),
+                        ),
+                        prompt=Lang.prompt.io_check(),
+                        lang=get_lang(),
+                    ),
+                )
+            ).finish()
+except ImportError:
+    pass
+
+
+@alc.assign('TETRIO.verify')
+async def _(event_session: Uninfo):
+    async with trigger(
+        session_persist_id=await get_session_persist_id(event_session),
+        game_platform=GAME_TYPE,
+        command_type='verify',
+        command_args=[],
+    ):
+        await UniMessage(Lang.bind.only_discord()).finish()

nonebot_plugin_tetris_stats/games/top/__init__.py

@@ -1,9 +1,10 @@
-from arclet.alconna import Arg, ArgFlag, Args, Subcommand
-from nonebot_plugin_alconna import At
+from arclet.alconna import Arg, ArgFlag
+from nonebot_plugin_alconna import Args, At, Option, Subcommand
 
+from ...utils.duration import parse_duration
 from ...utils.exception import MessageFormatError
-from ...utils.typing import Me
-from .. import add_block_handlers, alc
+from ...utils.typedefs import Me
+from .. import add_block_handlers, alc, command
 from .api import Player
 from .constant import USER_NAME
 
@@ -14,7 +15,7 @@ def get_player(name: str) -> Player | MessageFormatError:
     return MessageFormatError('用户名/ID不合法')
 
 
-alc.command.add(
+command.add(
     Subcommand(
         'TOP',
         Subcommand(
@@ -29,6 +30,20 @@ alc.command.add(
             ),
             help_text='绑定 TOP 账号',
         ),
+        Subcommand(
+            'unbind',
+            help_text='解除绑定 TOP 账号',
+        ),
+        Subcommand(
+            'config',
+            Option(
+                '--default-compare',
+                Arg('compare', parse_duration, notice='对比时间距离'),
+                alias=['-DC', 'DefaultCompare'],
+                help_text='设置默认对比时间距离',
+            ),
+            help_text='TOP 查询个性化配置',
+        ),
         Subcommand(
             'query',
             Args(
@@ -45,15 +60,39 @@ alc.command.add(
                     flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL],
                 ),
             ),
+            Option(
+                '--compare',
+                Arg('compare', parse_duration),
+                alias=['-C'],
+                help_text='指定对比时间距离',
+            ),
             help_text='查询 TOP 游戏信息',
         ),
         help_text='TOP 游戏相关指令',
     )
 )
 
-alc.shortcut('(?i:top)(?i:绑定|绑|bind)', {'command': 'tstats TOP bind', 'humanized': 'top绑定'})
-alc.shortcut('(?i:top)(?i:查询|查|query|stats)', {'command': 'tstats TOP query', 'humanized': 'top查'})
+alc.shortcut(
+    '(?i:top)(?i:绑定|绑|bind)',
+    command='tstats TOP bind',
+    humanized='top绑定',
+)
+alc.shortcut(
+    '(?i:top)(?i:解除绑定|解绑|unbind)',
+    command='tstats TOP unbind',
+    humanized='top解绑',
+)
+alc.shortcut(
+    '(?i:top)(?i:查询|查|query|stats)',
+    command='tstats TOP query',
+    humanized='top查',
+)
+alc.shortcut(
+    '(?i:top)(?i:配置|配|config)',
+    command='tstats TOP config',
+    humanized='top配置',
+)
 
 add_block_handlers(alc.assign('TOP.query'))
 
-from . import bind, query  # noqa: E402, F401
+from . import bind, config, query, unbind  # noqa: E402, F401