🔖 1.12.1

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.15.2 → v0.15.4](https://github.com/astral-sh/ruff-pre-commit/compare/v0.15.2...v0.15.4)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

.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: "dev"
-    schedule:
-      interval: "daily"

.github/workflows/Release.yml

@@ -3,23 +3,48 @@ name: Release CI
 on:
   push:
     tags:
-      - "*"
+      - '*'
 
 jobs:
   release:
     runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+      contents: write
     steps:
-      - uses: actions/checkout@v3
-      - uses: actions/setup-python@v4
+      - uses: actions/checkout@v6
+
+      - uses: astral-sh/setup-uv@v7
+        name: Setup UV
         with:
-          python-version: '3.10'
-      - name: Install Poetry
+          enable-cache: true
+
+      - 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: |
-          pip install poetry
-      - name: Build
-        shell: bash
-        run: |
-          poetry install
-          poetry env use python
-          poetry publish --build -u ${{ secrets.USERNAME }} -p ${{ secrets.PASSWORD }} -n
+          echo "VERSION=$(uvx pdm show --version)" >> $GITHUB_OUTPUT
+          echo "TAG_VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT
+          echo "TAG_NAME=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT
+
+      - name: Check Version
+        if: steps.version.outputs.VERSION != steps.version.outputs.TAG_VERSION
+        run: exit 1
+
+      - name: Build Package
+        run: uv build
+
+      - name: Publish Package to PyPI
+        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
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.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

@@ -1,6 +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
+
+# 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
+.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: v0.15.4
+    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]

.pylintrc

@@ -1,31 +0,0 @@
-[MAIN]
-# A comma-separated list of package or module names from where C extensions may
-# be loaded. Extensions are loading into the active Python interpreter and may
-# run arbitrary code.
-extension-pkg-allow-list=lxml, pydantic
-
-# A comma-separated list of package or module names from where C extensions may
-# be loaded. Extensions are loading into the active Python interpreter and may
-# run arbitrary code. (This is an alternative name to extension-pkg-allow-list
-# for backward compatibility.)
-extension-pkg-whitelist=lxml, pydantic
-
-# List of module names for which member attributes should not be checked
-# (useful for modules/projects where namespaces are manipulated during runtime
-# and thus existing member attributes cannot be deduced by static analysis). It
-# supports qualified module names, as well as Unix pattern matching.
-ignored-modules=ujson
-
-disable=
-    C0114, # missing-module-docstring
-
-[MESSAGES CONTROL]
-# Enable the message, report, category or checker with the given id(s). You can
-# either give multiple identifier separated by comma (,) or put this option
-# multiple time (only on the command line, not in the configuration file where
-# it should appear only once). See also the "--disable" option for examples.
-enable=c-extension-no-member
-
-[FORMAT]
-# Maximum number of characters on a single line.
-max-line-length=120

.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。

LICENSE

@@ -1,21 +1,661 @@
-MIT License
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
 
-Copyright (c) 2022 scdhh
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
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+<https://www.gnu.org/licenses/>.

README.md

@@ -1,54 +1,99 @@
-TETRIS Stats
-============
+<div align="center">
 
-一个基于nonebot2的用于查询TETRIS相关游戏玩家数据的插件  
-目前支持
-* [TETR.IO](https://tetr.io/)
-* [茶服](https://teatube.cn/tos/)
-* [TOP](http://tetrisonline.pl/)
+<p align="center">
+  <img src="img/logo.svg" width="200" height="200" alt="logo" title="Tetris Stats"></a>
+</p>
 
-安装
-----
+# Tetris Stats
 
-* 使用 nb-cli
-```
+✨ 一款基于 [NoneBot2](https://github.com/nonebot/nonebot2) 的用于查询 Tetris 相关游戏玩家数据的插件 ✨
+
+</div>
+
+<p align="center">
+<a href="https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats/blob/main/LICENSE">
+  <img
+    src="https://img.shields.io/github/license/shoucandanghehe/nonebot-plugin-tetris-stats"
+    alt="License"
+  />
+</a>
+<a href="https://www.python.org/">
+  <img
+    src="https://img.shields.io/badge/Python-3.10+-blue"
+    alt="Python"
+  />
+</a>
+<a href="https://pypi.python.org/pypi/nonebot-plugin-tetris-stats">
+  <img
+    src="https://img.shields.io/pypi/v/nonebot-plugin-tetris-stats"
+    alt="PyPi"
+  />
+</a>
+<a href="https://github.com/charliermarsh/ruff">
+  <img
+    src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v1.json"
+    alt="Ruff"
+  />
+</a>
+<a href="https://gitmoji.dev">
+  <img
+    src="https://img.shields.io/badge/gitmoji-%20😜%20😍-FFDD67.svg?style=flat-square"
+    alt="Gitmoji"
+  />
+</a>
+<a href="https://wakatime.com/badge/user/138b2226-8e02-42be-b99d-35c05198836f/project/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>
+
+## ✨ 目前支持的游戏
+
+- [TETR.IO](https://tetr.io/)
+- [茶服](https://teatube.cn/tos/)
+- [TOP](http://tetrisonline.pl/)
+
+## 🚀 安装
+
+- 使用 nb-cli
+
+```bash
 nb plugin install nonebot-plugin-tetris-stats
 ```
 
-* 使用 pip
+- 使用 poetry
+
+```bash
+poetry add nonebot-plugin-tetris-stats
 ```
+
+- 使用 pip ~~不推荐~~
+
+```bash
 pip install nonebot-plugin-tetris-stats
 ```
-* 对于 Windows
-```
-# CMD or PowerShell
-playwright install firefox
-```
-* 对于 Linux
-```
-# 似乎 playwright官方 只支持 Ubuntu, 如果你是其他系统请自行尝试解决依赖问题
-playwright install firefox
-playwright install-deps firefox
-```
 
-使用
-----
+## ♿️ 使用
 
-参考NoneBot2文档 [加载插件](https://v2.nonebot.dev/docs/tutorial/plugin/load-plugin/)
+- 参考 NoneBot2 文档 [加载插件](https://nonebot.dev/docs/tutorial/create-plugin#%E5%8A%A0%E8%BD%BD%E6%8F%92%E4%BB%B6)
 
-依赖
-----
+## 🎉 鸣谢
 
-目前只支持 `OneBot V11` 协议
+- [NoneBot2](https://v2.nonebot.dev/)
+- 所有为机器人生态做出贡献的人❤️
 
-鸣谢
-----
+## 📝 开源
 
-* [NoneBot2](https://v2.nonebot.dev/)
-* [OneBot](https://onebot.dev/)
-* [go-cqhttp](https://github.com/Mrs4s/go-cqhttp/)
+本项目使用 [AGPL-3.0](https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats/blob/main/LICENSE) 许可证开源
 
-开源
-----
+## 🤓☝ 给个 star 吧
 
-本项目使用[MIT](https://github.com/shoucandanghehe/nonebot-plugin-tetris-stats/blob/main/LICENSE)许可证开源
+<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>

img/logo.svg

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

nonebot_plugin_tetris_stats/__init__.py

@@ -1 +1,38 @@
-from . import game_data_processor
+from nonebot import require
+from nonebot.plugin import PluginMetadata, inherit_supported_adapters
+
+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 import migrations  # noqa: E402
+from .config.config import Config  # noqa: E402
+
+__plugin_meta__ = PluginMetadata(
+    name='Tetris Stats',
+    description='一个用于查询 Tetris 相关游戏玩家数据的插件',
+    usage='发送 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,
+    },
+)
+
+from . import games  # noqa: F401, E402

nonebot_plugin_tetris_stats/config/config.py

@@ -0,0 +1,37 @@
+from pathlib import Path
+
+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
+
+CACHE_PATH = get_plugin_cache_dir()
+DATA_PATH = get_plugin_data_dir()
+
+
+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):
+    tetris: ScopedConfig = Field(default_factory=ScopedConfig)
+
+
+config = get_plugin_config(Config)
+global_config = get_driver().config

nonebot_plugin_tetris_stats/config/migrations/09d4bb60160d_rename_field.py

@@ -0,0 +1,58 @@
+"""Rename field
+
+迁移 ID: 09d4bb60160d
+父迁移: b9d65badc713
+创建时间: 2024-04-23 23:42:04.541672
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '09d4bb60160d'
+down_revision: str | Sequence[str] | None = 'b9d65badc713'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    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())
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_iorank_create_time')
+    op.create_index(
+        batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_update_time'),
+        'nonebot_plugin_tetris_stats_iorank',
+        ['update_time'],
+        unique=False,
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    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')
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_update_time'))
+    op.create_index(
+        'ix_nonebot_plugin_tetris_stats_iorank_create_time',
+        'nonebot_plugin_tetris_stats_iorank',
+        ['create_time'],
+        unique=False,
+    )
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/0d50142b780f_add_field.py

@@ -0,0 +1,50 @@
+"""add field
+
+迁移 ID: 0d50142b780f
+父迁移: 09d4bb60160d
+创建时间: 2024-04-24 14:55:08.064098
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '0d50142b780f'
+down_revision: str | Sequence[str] | None = '09d4bb60160d'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    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))
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_file_hash'), ['file_hash'], unique=False
+        )
+
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    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'))
+        batch_op.drop_column('file_hash')
+
+    # ### end Alembic commands ###

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

@@ -0,0 +1,286 @@
+"""Refactor Historical
+
+迁移 ID: 3c25a5a8c050
+父迁移: b7fbdafc339a
+创建时间: 2024-05-14 09:16:35.193001
+
+"""
+
+from __future__ import annotations
+
+from datetime import datetime
+from typing import TYPE_CHECKING, Any
+
+import sqlalchemy as sa
+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.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '3c25a5a8c050'
+down_revision: str | Sequence[str] | None = 'b7fbdafc339a'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = 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
+    TETRIOHistoricalData = Base.classes.nonebot_plugin_tetris_stats_tetriohistoricaldata  # noqa: N806
+    TOSHistoricalData = Base.classes.nonebot_plugin_tetris_stats_toshistoricaldata  # noqa: N806
+    with (
+        Session(op.get_bind()) as session,
+        Progress(
+            TextColumn('[progress.description]{task.description}'),
+            BarColumn(),
+            MofNCompleteColumn(),
+            TaskProgressColumn(),
+            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:
+            result = session.scalars(
+                select(OldHistoricalData)
+                .where(OldHistoricalData.id > pointer)
+                .order_by(OldHistoricalData.id)
+                .limit(100)
+            ).all()
+            for j in result:
+                processed_data: dict[str, Any] = loads(j.processed_data)
+                if j.game_platform == 'IO':
+                    if (data := processed_data.get('user_info')) is not None:
+                        session.add(
+                            TETRIOHistoricalData(
+                                user_unique_identifier=j.user_unique_identifier,
+                                api_type='User Info',
+                                data=dumps(data),
+                                update_time=datetime.fromisoformat(data['cache']['cached_at']),
+                            )
+                        )
+                    if (data := processed_data.get('user_records')) is not None:
+                        session.add(
+                            TETRIOHistoricalData(
+                                user_unique_identifier=j.user_unique_identifier,
+                                api_type='User Records',
+                                data=dumps(data),
+                                update_time=datetime.fromisoformat(data['cache']['cached_at']),
+                            )
+                        )
+                if j.game_platform == 'TOS' and not j.user_unique_identifier.isdigit():
+                    if (data := processed_data.get('user_info')) is not None:
+                        session.add(
+                            TOSHistoricalData(
+                                user_unique_identifier=j.user_unique_identifier,
+                                api_type='User Info',
+                                data=dumps(data),
+                                update_time=j.finish_time,
+                            )
+                        )
+                    if (data := processed_data.get('user_profile')) is not None:
+                        for v in data.values():
+                            session.add(
+                                TOSHistoricalData(
+                                    user_unique_identifier=j.user_unique_identifier,
+                                    api_type='User Profile',
+                                    data=dumps(v),
+                                    update_time=j.finish_time,
+                                )
+                            )
+                progress.update(task_id, advance=1)
+            session.commit()
+            pointer = result[-1].id
+    logger.success('Migrate successfully')
+
+
+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',
+        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,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_tophistoricaldata',
+        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_tophistoricaldata')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tophistoricaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_api_type'), ['api_type'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_update_time'), ['update_time'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_user_unique_identifier'),
+            ['user_unique_identifier'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_toshistoricaldata',
+        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_toshistoricaldata')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_toshistoricaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_api_type'), ['api_type'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_update_time'), ['update_time'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_user_unique_identifier'),
+            ['user_unique_identifier'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_triggerhistoricaldata',
+        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_triggerhistoricaldata')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_triggerhistoricaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldata_command_type'),
+            ['command_type'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldata_game_platform'),
+            ['game_platform'],
+            unique=False,
+        )
+
+    migrate_old_data()
+
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_command_type')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_source_account')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_source_type')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_user_unique_identifier')
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+    # ### 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! ###
+    op.create_table(
+        'nonebot_plugin_tetris_stats_historicaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('bot_platform', sa.String(length=32), nullable=True),
+        sa.Column('bot_account', sa.String(), nullable=True),
+        sa.Column('source_type', sa.String(length=32), nullable=True),
+        sa.Column('source_account', sa.String(), nullable=True),
+        sa.Column('message', sa.PickleType(), nullable=True),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('command_type', sa.String(length=16), nullable=False),
+        sa.Column('command_args', sa.JSON(), nullable=False),
+        sa.Column('game_user', sa.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:
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_user_unique_identifier',
+            ['user_unique_identifier'],
+            unique=False,
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_source_type', ['source_type'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_source_account', ['source_account'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_game_platform', ['game_platform'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_command_type', ['command_type'], unique=False
+        )
+
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_triggerhistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldata_game_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_triggerhistoricaldata_command_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_triggerhistoricaldata')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_toshistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_user_unique_identifier'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_toshistoricaldata_api_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_toshistoricaldata')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tophistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_user_unique_identifier'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tophistoricaldata_api_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_tophistoricaldata')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_tetriohistoricaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_user_unique_identifier'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_update_time'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_tetriohistoricaldata_api_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_tetriohistoricaldata')
+    # ### end Alembic commands ###

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

@@ -0,0 +1,74 @@
+"""Add redundant platform field
+
+迁移 ID: 6c3206f90cc3
+父迁移: 9f6582279ce2
+创建时间: 2023-11-26 20:15:56.033892
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '6c3206f90cc3'
+down_revision: str | Sequence[str] | None = '9f6582279ce2'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    from json import dumps, loads  # noqa: PLC0415
+
+    Base = automap_base()  # noqa: N806
+    connection = op.get_bind()
+    Base.prepare(autoload_with=connection)
+
+    HistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
+
+    with Session(connection) as session:
+        for row in session.query(HistoricalData):
+            platform = row.game_platform
+            game_user = loads(row.game_user)
+            processed_data = loads(row.processed_data)
+            game_user['platform'] = platform
+            processed_data['platform'] = platform
+            row.game_user = dumps(game_user)
+            row.processed_data = dumps(processed_data)
+            session.add(row)
+        session.commit()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    from json import dumps, loads  # noqa: PLC0415
+
+    Base = automap_base()  # noqa: N806
+    connection = op.get_bind()
+    Base.prepare(autoload_with=connection)
+
+    HistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
+
+    with Session(connection) as session:
+        for row in session.query(HistoricalData):
+            game_user = loads(row.game_user)
+            processed_data = loads(row.processed_data)
+            game_user.pop('platform', None)
+            processed_data.pop('platform', None)
+            row.game_user = dumps(game_user)
+            row.processed_data = dumps(processed_data)
+            session.add(row)
+        session.commit()

nonebot_plugin_tetris_stats/config/migrations/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

@@ -0,0 +1,107 @@
+"""Correct the data in HistoricalData
+
+迁移 ID: 8a91210ce14d
+父迁移: 0d50142b780f
+创建时间: 2024-05-06 08:16:38.487214
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot.log import logger
+from sqlalchemy import select
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '8a91210ce14d'
+down_revision: str | Sequence[str] | None = '0d50142b780f'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:  # noqa: C901
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+
+    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,
+        TaskProgressColumn,
+        TextColumn,
+        TimeRemainingColumn,
+    )
+
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=op.get_bind())
+    HistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
+    if PYDANTIC_V2:
+
+        def model_to_json(value: BaseModel) -> str:
+            return value.model_dump_json(by_alias=True)
+    else:
+
+        def model_to_json(value: BaseModel) -> str:
+            return value.json(by_alias=True)
+
+    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(),
+            MofNCompleteColumn(),
+            TaskProgressColumn(),
+            TimeRemainingColumn(),
+        ) as progress:
+            task_id = progress.add_task('[cyan]Updateing:', total=count)
+            for i in range(0, count, 100):
+                for j in session.scalars(
+                    select(HistoricalData).where(HistoricalData.id > i).order_by(HistoricalData.id).limit(100)
+                ):
+                    model = json_to_model(j.processed_data)
+                    j.processed_data = model_to_json(model)
+                    progress.update(task_id, advance=1)
+                session.commit()
+    logger.success('Corrected HistoricalData')
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return

nonebot_plugin_tetris_stats/config/migrations/9866f53ce44f_init_db.py

@@ -0,0 +1,147 @@
+"""init db
+
+迁移 ID: 9866f53ce44f
+父迁移:
+创建时间: 2023-11-11 16:24:11.826667
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '9866f53ce44f'
+down_revision: str | Sequence[str] | None = None
+branch_labels: str | Sequence[str] | None = ('nonebot_plugin_tetris_stats',)
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        'nonebot_plugin_tetris_stats_bind',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('chat_platform', sa.String(length=32), nullable=False),
+        sa.Column('chat_account', sa.String(), nullable=False),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('game_account', sa.String(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_bind')),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_bind_chat_account'),
+            ['chat_account'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_bind_chat_platform'),
+            ['chat_platform'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_historicaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('bot_platform', sa.String(length=32), nullable=True),
+        sa.Column('bot_account', sa.String(), nullable=True),
+        sa.Column('source_type', sa.String(length=32), nullable=True),
+        sa.Column('source_account', sa.String(), nullable=True),
+        sa.Column('message', sa.PickleType(), nullable=True),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('command_type', sa.String(length=16), nullable=False),
+        sa.Column('command_args', sa.JSON(), nullable=False),
+        sa.Column('game_user', sa.PickleType(), nullable=False),
+        sa.Column('processed_data', sa.PickleType(), nullable=False),
+        sa.Column('finish_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_historicaldata')),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'),
+            ['command_type'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'),
+            ['game_platform'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'),
+            ['source_account'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_type'),
+            ['source_type'],
+            unique=False,
+        )
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_iorank',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('rank', sa.String(length=2), nullable=False),
+        sa.Column('tr_line', sa.Float(), nullable=False),
+        sa.Column('player_count', sa.Integer(), nullable=False),
+        sa.Column('low_pps', sa.JSON(), nullable=False),
+        sa.Column('low_apm', sa.JSON(), nullable=False),
+        sa.Column('low_vs', sa.JSON(), nullable=False),
+        sa.Column('avg_pps', sa.Float(), nullable=False),
+        sa.Column('avg_apm', sa.Float(), nullable=False),
+        sa.Column('avg_vs', sa.Float(), nullable=False),
+        sa.Column('high_pps', sa.JSON(), nullable=False),
+        sa.Column('high_apm', sa.JSON(), nullable=False),
+        sa.Column('high_vs', sa.JSON(), nullable=False),
+        sa.Column('create_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_iorank')),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_iorank', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_create_time'),
+            ['create_time'],
+            unique=False,
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_rank'),
+            ['rank'],
+            unique=False,
+        )
+
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    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'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_iorank_create_time'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_iorank')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_type'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_bind_chat_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_bind_chat_account'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_bind')
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/9cd1647db502_merge_old_db.py

@@ -0,0 +1,97 @@
+"""Merge old db
+
+迁移 ID: 9cd1647db502
+父迁移: 9866f53ce44f
+创建时间: 2023-11-11 16:51:30.718277
+
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+from shutil import copyfile
+from typing import TYPE_CHECKING
+
+from alembic import op
+from nonebot import get_driver
+from nonebot.log import logger
+from sqlalchemy import Connection, create_engine, inspect, text
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '9cd1647db502'
+down_revision: str | Sequence[str] | None = '9866f53ce44f'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+driver = get_driver()
+config = driver.config
+
+
+def migrate_old_data(connection: Connection) -> None:
+    Base = automap_base()  # noqa: N806
+    Base.prepare(autoload_with=op.get_bind())
+    Bind = Base.classes.nonebot_plugin_tetris_stats_bind  # noqa: N806
+
+    def non_empty(obj: str) -> bool:
+        return bool(obj != '' and not obj.isspace())
+
+    def is_int(obj: int | str) -> bool:
+        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)
+        for row in connection.execute(text('select QQ, USER from IOBIND;'))
+        if is_int(row.QQ) and non_empty(row.USER)
+    ]
+    bind_list.extend(
+        [
+            Bind(chat_platform='OneBot V11', chat_account=int(row.QQ), game_platform='TOP', game_account=row.USER)
+            for row in connection.execute(text('select QQ, USER from TOPBIND;'))
+            if is_int(row.QQ) and non_empty(row.USER)
+        ]
+    )
+    with Session(op.get_bind()) as session:
+        session.add_all(bind_list)
+        session.commit()
+    logger.success('nonebot_plugin_tetris_stats: 迁移完成')
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+    try:
+        db_path = Path(config.db_url)
+    except AttributeError:
+        db_path = Path('data/nonebot_plugin_tetris_stats/data.db')
+    if db_path.exists() is False:
+        logger.warning('nonebot_plugin_tetris_stats: 未发现老版本的数据')
+        logger.success('nonebot_plugin_tetris_stats: 跳过迁移')
+        return
+    copyfile(db_path, db_path.parent / 'data.db.bak')
+    engine = create_engine(f'sqlite:///{db_path.absolute()!s}')
+    with engine.connect() as connection:
+        tables = inspect(connection).get_table_names()
+        if 'IOBIND' not in tables or 'TOPBIND' not in tables:
+            logger.warning('nonebot_plugin_tetris_stats: 未发现老版本的数据')
+            logger.success('nonebot_plugin_tetris_stats: 跳过迁移')
+            return
+        if 'IORANK' not in tables:
+            msg = 'nonebot_plugin_tetris_stats: 请先安装 0.4.4 版本完成迁移之后再升级'
+            logger.warning(msg)
+            raise RuntimeError(msg)
+        logger.info('nonebot_plugin_tetris_stats: 发现来自老版本的数据, 正在迁移...')
+        migrate_old_data(connection)
+    db_path.unlink()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return

nonebot_plugin_tetris_stats/config/migrations/9f6582279ce2_recreate_historical_data.py

@@ -0,0 +1,117 @@
+"""Recreate HistoricalData
+
+迁移 ID: 9f6582279ce2
+父迁移: 9cd1647db502
+创建时间: 2023-11-21 08:35:50.393246
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = '9f6582279ce2'
+down_revision: str | Sequence[str] | None = '9cd1647db502'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    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')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_source_account')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_historicaldata_source_type')
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_historicaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('bot_platform', sa.String(length=32), nullable=True),
+        sa.Column('bot_account', sa.String(), nullable=True),
+        sa.Column('source_type', sa.String(length=32), nullable=True),
+        sa.Column('source_account', sa.String(), nullable=True),
+        sa.Column('message', sa.PickleType(), nullable=True),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('command_type', sa.String(length=16), nullable=False),
+        sa.Column('command_args', sa.JSON(), nullable=False),
+        sa.Column('game_user', sa.JSON(), nullable=False),
+        sa.Column('processed_data', sa.JSON(), nullable=False),
+        sa.Column('finish_time', sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_historicaldata')),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_historicaldata', schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'), ['command_type'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'), ['game_platform'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'), ['source_account'], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_type'), ['source_type'], unique=False
+        )
+    # ### end Alembic commands ###
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    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'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_source_account'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_game_platform'))
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_command_type'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_historicaldata')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_historicaldata',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('trigger_time', sa.DateTime(), nullable=False),
+        sa.Column('bot_platform', sa.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:
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_source_type', ['source_type'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_source_account', ['source_account'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_game_platform', ['game_platform'], unique=False
+        )
+        batch_op.create_index(
+            'ix_nonebot_plugin_tetris_stats_historicaldata_command_type', ['command_type'], unique=False
+        )
+
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/a1195e989cc6_add_tetrio_user_configuration.py

@@ -0,0 +1,48 @@
+"""Add TETRIO user configuration
+
+迁移 ID: a1195e989cc6
+父迁移: b15844837693
+创建时间: 2024-06-09 04:20:07.819194
+
+"""
+
+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 = 'a1195e989cc6'
+down_revision: str | Sequence[str] | None = 'b15844837693'
+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_tetriouserconfig',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('query_template', sa.String(length=2), nullable=False),
+        sa.PrimaryKeyConstraint('id', name=op.f('pk_nonebot_plugin_tetris_stats_tetriouserconfig')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    # ### 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! ###
+    op.drop_table('nonebot_plugin_tetris_stats_tetriouserconfig')
+    # ### end Alembic commands ###

nonebot_plugin_tetris_stats/config/migrations/b15844837693_migrate_to_nonobot_plugin_user.py

@@ -0,0 +1,75 @@
+"""Migrate to nonobot-plugin-user
+
+迁移 ID: b15844837693
+父迁移: 3c25a5a8c050
+创建时间: 2024-06-08 02:27:35.227596
+
+"""
+
+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 = 'b15844837693'
+down_revision: str | Sequence[str] | None = '3c25a5a8c050'
+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_bind', schema=None) as batch_op:
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_bind_chat_account')
+        batch_op.drop_index('ix_nonebot_plugin_tetris_stats_bind_chat_platform')
+
+    op.drop_table('nonebot_plugin_tetris_stats_bind')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_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_nonebot_plugin_tetris_stats_bind')),
+        info={'bind_key': 'nonebot_plugin_tetris_stats'},
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_nonebot_plugin_tetris_stats_bind_user_id'), ['user_id'], 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_bind', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_nonebot_plugin_tetris_stats_bind_user_id'))
+
+    op.drop_table('nonebot_plugin_tetris_stats_bind')
+
+    op.create_table(
+        'nonebot_plugin_tetris_stats_bind',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('chat_platform', sa.String(length=32), nullable=False),
+        sa.Column('chat_account', sa.String(), nullable=False),
+        sa.Column('game_platform', sa.String(length=32), nullable=False),
+        sa.Column('game_account', sa.String(), nullable=False),
+        sa.PrimaryKeyConstraint('id', name='pk_nonebot_plugin_tetris_stats_bind'),
+    )
+    with op.batch_alter_table('nonebot_plugin_tetris_stats_bind', schema=None) as batch_op:
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_bind_chat_platform', ['chat_platform'], unique=False)
+        batch_op.create_index('ix_nonebot_plugin_tetris_stats_bind_chat_account', ['chat_account'], unique=False)
+
+    # ### end Alembic commands ###

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

@@ -0,0 +1,117 @@
+"""Add user_unique_identifier field to HistoricalData
+
+迁移 ID: b7fbdafc339a
+父迁移: 8a91210ce14d
+创建时间: 2024-05-07 16:55:29.527215
+
+"""
+
+from __future__ import annotations
+
+from 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 = 'b7fbdafc339a'
+down_revision: str | Sequence[str] | None = '8a91210ce14d'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:  # noqa: C901
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+
+    from nonebot.compat import type_validate_json  # noqa: PLC0415
+    from pydantic import ValidationError  # noqa: PLC0415
+    from rich.progress import (  # noqa: PLC0415
+        BarColumn,
+        MofNCompleteColumn,
+        Progress,
+        TaskProgressColumn,
+        TextColumn,
+        TimeRemainingColumn,
+    )
+    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))
+        batch_op.create_index(
+            batch_op.f('ix_nonebot_plugin_tetris_stats_historicaldata_user_unique_identifier'),
+            ['user_unique_identifier'],
+            unique=False,
+        )
+    Base = automap_base()  # noqa: N806
+    connection = op.get_bind()
+    Base.prepare(autoload_with=connection)
+    HistoricalData = Base.classes.nonebot_plugin_tetris_stats_historicaldata  # noqa: N806
+
+    with Session(op.get_bind()) as session:
+        count = session.query(HistoricalData).count()
+        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:
+                        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')
+
+
+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'))
+        batch_op.drop_column('user_unique_identifier')
+
+    # ### end Alembic commands ###

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

@@ -0,0 +1,46 @@
+"""Del old TOS bind data
+
+迁移 ID: b9d65badc713
+父迁移: 6c3206f90cc3
+创建时间: 2023-12-30 00:27:40.991704
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from sqlalchemy.ext.automap import automap_base
+from sqlalchemy.orm import Session
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+revision: str = 'b9d65badc713'
+down_revision: str | Sequence[str] | None = '6c3206f90cc3'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade(name: str = '') -> None:
+    if name:
+        return
+    if op.get_bind().dialect.name == 'postgresql':
+        return
+
+    Base = automap_base()  # noqa: N806
+    connection = op.get_bind()
+    Base.prepare(autoload_with=connection)
+
+    Bind = Base.classes.nonebot_plugin_tetris_stats_bind  # noqa: N806
+    with Session(connection) as session:
+        session.query(Bind).filter(Bind.game_platform == 'TOS').delete()
+        session.commit()
+
+
+def downgrade(name: str = '') -> None:
+    if name:
+        return
+    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

@@ -0,0 +1,173 @@
+from asyncio import Lock
+from collections.abc import AsyncGenerator
+from contextlib import asynccontextmanager
+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
+from sqlalchemy import select
+
+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):
+    SUCCESS = auto()
+    UPDATE = auto()
+
+
+async def query_bind_info(
+    session: AsyncSession,
+    user: User,
+    game_platform: GameType,
+) -> Bind | None:
+    return (
+        await session.scalars(select(Bind).where(Bind.user_id == user.id).where(Bind.game_platform == game_platform))
+    ).one_or_none()
+
+
+async def create_or_update_bind(
+    session: AsyncSession,
+    user: User,
+    game_platform: GameType,
+    game_account: str,
+    *,
+    verify: bool = False,
+) -> BindStatus:
+    bind = await query_bind_info(
+        session=session,
+        user=user,
+        game_platform=game_platform,
+    )
+    if bind is None:
+        bind = Bind(
+            user_id=user.id,
+            game_platform=game_platform,
+            game_account=game_account,
+            verify=verify,
+        )
+        session.add(bind)
+        status = BindStatus.SUCCESS
+    else:
+        bind.game_account = game_account
+        bind.verify = verify
+        status = BindStatus.UPDATE
+    await session.commit()
+    return status
+
+
+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(model: T_HistoricalData) -> None:
+    async with lock, get_session() as session:
+        result = (
+            await session.scalars(
+                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)
+            )
+        ).all()
+        if result:
+            for i in result:
+                if i.data == model.data:
+                    logger.debug('Anti duplicate successfully')
+                    return
+        session.add(model)
+        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: TETRIOCommandType,
+    command_args: list[str],
+) -> AsyncGenerator:
+    yield
+
+
+@asynccontextmanager
+@overload
+async def trigger(
+    session_persist_id: int,
+    game_platform: GameType,
+    command_type: BaseCommandType,
+    command_args: list[str],
+) -> AsyncGenerator:
+    yield
+
+
+@asynccontextmanager
+async def trigger(
+    session_persist_id: int,
+    game_platform: GameType,
+    command_type: AllCommandType,
+    command_args: list[str],
+) -> AsyncGenerator:
+    trigger_time = datetime.now(UTC)
+    try:
+        yield
+    except FinishedException:
+        async with get_session() as session:
+            session.add(
+                TriggerHistoricalDataV2(
+                    trigger_time=trigger_time,
+                    session_persist_id=session_persist_id,
+                    game_platform=game_platform,
+                    command_type=command_type,
+                    command_args=command_args,
+                    finish_time=datetime.now(UTC),
+                )
+            )
+            await session.commit()
+        raise

nonebot_plugin_tetris_stats/db/models.py

@@ -0,0 +1,86 @@
+from collections.abc import Callable, Sequence
+from datetime import datetime
+from typing import Any
+
+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.typedefs import AllCommandType, GameType
+
+
+class PydanticType(TypeDecorator):
+    impl = JSON
+
+    @override
+    def __init__(
+        self,
+        get_model: Sequence[Callable[[], Sequence[type[BaseModel]]]],
+        models: set[type[BaseModel]],
+        *args: Any,
+        **kwargs: Any,
+    ):
+        self.get_model = get_model
+        self._models = models
+        super().__init__(*args, **kwargs)
+
+    if PYDANTIC_V2:
+
+        @override
+        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(mode='json', by_alias=True)  # type: ignore[union-attr]
+            raise TypeError
+    else:
+
+        @override
+        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.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, dict | list):
+            for i in self.models:
+                try:
+                    return type_validate_python(i, value)
+                except ValidationError:  # noqa: PERF203
+                    ...
+        raise ValueError
+
+    @property
+    def models(self) -> tuple[type[BaseModel], ...]:
+        models: set[type[BaseModel]] = set()
+        for i in self.get_model:
+            models.update(i())
+        models.update(self._models)
+        return tuple(models)
+
+
+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 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[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/game_data_processor/__init__.py

@@ -1 +0,0 @@
-from . import io_data_processor, top_data_processor, tos_data_processor

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/__init__.py

@@ -1,40 +0,0 @@
-from re import I
-
-from nonebot import on_regex
-from nonebot.adapters.onebot.v11 import GROUP, MessageEvent
-from nonebot.matcher import Matcher
-
-from .processor import Processor
-
-IOBind = on_regex(pattern=r'^io绑定|^iobind', flags=I, permission=GROUP)
-IOStats = on_regex(pattern=r'^io查|^iostats', flags=I, permission=GROUP)
-IORank = on_regex(pattern=r'^io段位|^iorank', flags=I, permission=GROUP)
-
-@IOBind.handle()
-async def _(event: MessageEvent, matcher: Matcher):
-    await matcher.finish(
-        await Processor.handle_bind(
-            message=event.raw_message,
-            qq_number=event.sender.user_id
-        )
-    )
-
-
-@IOStats.handle()
-async def _(event: MessageEvent, matcher: Matcher):
-    if event.is_tome():
-        await matcher.finish('不能查询bot的信息')
-    await matcher.finish(
-        await Processor.handle_query(
-            message=event.raw_message,
-            qq_number=event.sender.user_id
-        )
-    )
-
-@IORank.handle()
-async def _(event: MessageEvent, matcher: Matcher):
-    await matcher.finish(
-        await Processor.handle_rank(
-            message=event.raw_message
-        )
-    )

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/processor.py

@@ -1,289 +0,0 @@
-import math
-from asyncio import gather
-from typing import Any
-
-from nonebot.log import logger
-
-from ...utils.database import DataBase
-from ...utils.message_analyzer import (
-    handle_bind_message,
-    handle_rank_message,
-    handle_stats_query_message,
-)
-from .request import Request
-
-
-class Processor:
-    @classmethod
-    async def handle_bind(cls, message: str, qq_number: int | None) -> str:
-        '''处理绑定消息'''
-        decoded_message = await handle_bind_message(message=message, game_type='IO')
-        if decoded_message[0] is None:
-            return decoded_message[1][0]
-        if decoded_message[0] == 'ID':
-            user_id_stats = await cls.check_user_id(decoded_message[1][1])
-            if user_id_stats[0] is False:
-                return user_id_stats[1]
-            user_id = decoded_message[1][1]
-        elif decoded_message[0] == 'Name':
-            user_data = await cls.get_user_data(user_name=decoded_message[1][1])
-            if user_data[0] is False:
-                return '用户信息请求失败'
-            if user_data[1] is False:
-                return f'用户信息请求错误:\n{user_data[2]["error"]}'
-            user_id = await cls.get_user_id(user_data[2])
-            if qq_number is None:  # 理论上是不会有None出现的, ide快乐行属于是（
-                logger.error('获取QQ号失败')
-                return '获取QQ号失败'
-            return (
-                await DataBase.write_bind_info(
-                    qq_number=qq_number,
-                    user=user_id,
-                    game_type='IO'
-                )
-            )
-        logger.error('预期外行为, 请上报GitHub')
-        return '出现预期外行为，请查看后台信息'
-
-    @classmethod
-    async def handle_rank(cls, message: str):
-        query_rank = await handle_rank_message(message)
-        rank_info = await DataBase.query_rank_info_today(rank=query_rank.lower())
-
-        if rank_info is None:
-            ranks_percentiles = {
-                'x': 1,
-                'u': 5,
-                'ss': 11,
-                's+': 17,
-                's': 23,
-                's-': 30,
-                'a+': 38,
-                'a': 46,
-                'a-': 54,
-                'b+': 62,
-                'b': 70,
-                'b-': 78,
-                'c+': 84,
-                'c': 90,
-                'c-': 95,
-                'd+': 97.5,
-                'd': 100,
-            }
-
-            if query_rank.lower() not in (i for i in ranks_percentiles.keys()):
-                return '未知段位'
-
-            result = await Request.request('https://ch.tetr.io/api/users/lists/league/all')
-            users: list = result[2]['data']['users']
-
-            def avg(rank_users: list, column: str, playercount: int | None = None) -> float:
-                return sum(i['league'][column] for i in rank_users) / (playercount or len(rank_users))
-
-            for rank, percentile in ranks_percentiles.items():
-                offset = math.floor((percentile / 100) * len(users)) - 1
-                tr = users[offset]['league']['rating']
-
-                rank_users = list(filter(lambda x: x['league']['rank'] == rank, users))
-                playercount = len(rank_users)
-
-                avg_apm = avg(rank_users, 'apm', playercount)
-                avg_pps = avg(rank_users, 'pps', playercount)
-                avg_vs = avg(rank_users, 'vs', playercount)
-
-                await DataBase.write_rank_info_today(
-                    rank=rank,
-                    trline=tr,
-                    playercount=playercount,
-                    avgapm=avg_apm,
-                    avgpps=avg_pps,
-                    avgvs=avg_vs
-                    )
-
-            return await Processor.handle_rank(message=message)
-        else:
-            avg_apm = round(rank_info[3], 2)
-            avg_pps = round(rank_info[4], 2)
-            avg_vs = round(rank_info[5], 2)
-            avg_lpm = round((avg_pps * 24), 2)
-            avg_apl = round((avg_apm / avg_lpm), 2)
-            avg_adpm = round((avg_vs * 0.6), 2)
-            avg_adpl = round((avg_adpm / avg_lpm), 2)
-
-            message = f'{query_rank.upper()} 段, 分数线 {round(rank_info[1], 2)} TR, {rank_info[2]} 名玩家'
-            message += f'\n对比昨日趋势: {rank_info[0]}'
-            message += '\n'
-            message += f"\nL'PM: {avg_lpm} ( {avg_pps} pps )"
-            message += f'\nAPM: {avg_apm} ( x{avg_apl} )'
-            message += f'\nADPM: {avg_adpm} ( x{avg_adpl} ) ( {avg_vs}vs )'
-            message += '\n'
-            message += f'\n数据更新时间: {rank_info[6]}'
-
-        return message
-
-    @classmethod
-    async def handle_query(cls, message: str, qq_number: int | None):
-        '''处理查询消息'''
-        decoded_message = await handle_stats_query_message(message=message, game_type='IO')
-        if decoded_message[0] is None:
-            return decoded_message[1][0]
-        if decoded_message[0] == 'AT':  # 在入口处判断是否@bot本身
-            bind_info = await DataBase.query_bind_info(qq_number=decoded_message[1][1], game_type='IO')
-            if bind_info is None:
-                return '未查询到绑定信息'
-            return f'* 由于无法验证绑定信息, 不能保证查询到的用户为本人\n{await Processor.generate_message(user_id=bind_info)}'
-        if decoded_message[0] == 'ME':
-            if qq_number is None:
-                logger.error('获取QQ号失败')
-                return '获取QQ号失败, 请联系bot主人'
-            bind_info = await DataBase.query_bind_info(qq_number=qq_number, game_type='IO')
-            if bind_info is None:
-                return '未查询到绑定信息'
-            return f'* 由于无法验证绑定信息, 不能保证查询到的用户为本人\n{await Processor.generate_message(user_id=bind_info)}'
-        if decoded_message[0] == 'ID':
-            return await Processor.generate_message(user_id=decoded_message[1][1])
-        if decoded_message[0] == 'Name':
-            return await Processor.generate_message(user_name=decoded_message[1][1])
-
-    @classmethod
-    async def get_user_data(
-            cls,
-            user_name: str | None = None,
-            user_id: str | None = None
-    ) -> tuple[bool, bool, dict[str, Any]]:
-        '''获取用户数据'''
-        if user_name is not None and user_id is None:
-            user_data_url = f'https://ch.tetr.io/api/users/{user_name}'
-        elif user_name is None and user_id is not None:
-            user_data_url = f'https://ch.tetr.io/api/users/{user_id}'
-        else:
-            raise ValueError('预期外行为, 请上报GitHub')
-        return await Request.request(user_data_url)
-
-    @classmethod
-    async def get_solo_data(
-            cls,
-            user_name: str | None = None,
-            user_id: str | None = None
-    ) -> tuple[bool, bool, dict[str, Any]]:
-        '''获取Solo数据'''
-        if user_name is not None and user_id is None:
-            user_solo_url = f'https://ch.tetr.io/api/users/{user_name}/records'
-        elif user_name is None and user_id is not None:
-            user_solo_url = f'https://ch.tetr.io/api/users/{user_id}/records'
-        else:
-            raise ValueError('预期外行为, 请上报GitHub')
-        return await Request.request(user_solo_url)
-
-    @classmethod
-    async def get_user_id(cls, user_data: dict) -> str:
-        '''获取用户ID'''
-        return user_data['data']['user']['_id']
-
-    @classmethod
-    async def check_user_id(cls, user_id: str) -> tuple[bool, str]:
-        '''检查用户ID是否有效 返回值为tuple[bool, message]'''
-        user_data = await cls.get_user_data(user_id=user_id)
-        if user_data[0] is False:
-            return False, '用户信息请求失败'
-        if user_data[1] is False:
-            return False, f'用户信息请求错误:\n{user_data[2]["error"]}'
-        if user_id == user_data[2]['data']['user']['_id']:
-            return True, ''
-        raise ValueError('服务器返回的userID和用户提供的不一致, 这种情况理论上不应该发生, 以防万一还是写一下（x')
-
-    @classmethod
-    async def get_league_stats(cls, user_data: dict) -> dict[str, Any]:
-        '''获取排位统计数据'''
-        league = user_data['data']['user']['league']
-        league_stats: dict[str, Any] = {}
-        if league['gamesplayed'] != 0:
-            league_stats['PPS'] = league['pps']
-            league_stats['APM'] = league['apm']
-            league_stats['VS'] = 0 if league['vs'] is None else league['vs']
-            league_stats['Rank'] = 'Z' if league['rank'] == 'z' else league['rank'].upper(
-            )
-            if league['rating'] == -1:
-                league_stats['Rank'] = None
-            else:
-                league_stats['Rating'] = round(league['rating'], 2)
-                league_stats['Glicko'] = round(league['glicko'], 2)
-                league_stats['RD'] = round(league['rd'], 2)
-            league_stats['Standing'] = league['standing']
-            league_stats['LPM'] = round((league['pps'] * 24), 2)
-            league_stats['APL'] = round(
-                (league_stats['APM'] / league_stats['LPM']), 2)
-            league_stats['ADPM'] = round((league_stats['VS'] * 0.6), 2)
-            league_stats['ADPL'] = round(
-                (league_stats['ADPM'] / league_stats['LPM']), 2)
-        return league_stats
-
-    @classmethod
-    async def get_sprint_stats(cls, solo_data: dict) -> dict[str, Any]:
-        '''获取40L统计数据'''
-        sprint_stats = {}
-        solo = solo_data['data']['records']['40l']
-        if solo['record'] is not None:
-            sprint_stats['Time'] = round(
-                solo['record']['endcontext']['finalTime'] / 1000, 2)
-            if solo['rank'] is not None:
-                sprint_stats['Rank'] = solo['rank']
-        return sprint_stats
-
-    @classmethod
-    async def get_blitz_stats(cls, solo_data: dict) -> dict[str, Any]:
-        '''获取Blitz统计数据'''
-        blitz_stats = {}
-        blitz = solo_data['data']['records']['blitz']
-        if blitz['record'] is not None:
-            blitz_stats['Score'] = blitz['record']['endcontext']['score']
-            if blitz['rank'] is not None:
-                blitz_stats['Rank'] = blitz['rank']
-        return blitz_stats
-
-    @classmethod
-    async def generate_message(
-            cls,
-            user_name: str | None = None,
-            user_id: str | None = None
-    ) -> str:
-        '''生成消息'''
-        user_data, solo_data = await gather(
-            cls.get_user_data(user_name=user_name, user_id=user_id),
-            cls.get_solo_data(user_name=user_name, user_id=user_id)
-        )
-        if user_data[0] is False:
-            return '用户信息请求失败'
-        if user_data[1] is False:
-            return f'用户信息请求错误:\n{user_data[2]["error"]}'
-        user_name = user_data[2]['data']['user']['username'].upper()
-        league_stats = await cls.get_league_stats(user_data[2])
-        message = ''
-        if not league_stats:
-            message += f'用户 {user_name} 没有排位统计数据'
-        else:
-            if league_stats['Rank'] is None:
-                message += f'用户 {user_name} 暂未完成定级赛, 最近十场的数据:'
-            else:
-                if league_stats['Rank'] == 'Z':
-                    message += f'用户 {user_name} 暂无段位, {league_stats["Rating"]} TR'
-                else:
-                    message += f'{league_stats["Rank"]} 段用户 {user_name} {league_stats["Rating"]} TR (#{league_stats["Standing"]})'
-                message += f', 段位分 {league_stats["Glicko"]}±{league_stats["RD"]}, 最近十场的数据:'
-            message += f'\nL\'PM: {league_stats["LPM"]} ( {league_stats["PPS"]} pps )'
-            message += f'\nAPM: {league_stats["APM"]} ( x{league_stats["APL"]} )'
-            if league_stats["VS"] != 0:
-                message += f'\nADPM: {league_stats["ADPM"]} ( x{league_stats["ADPL"]} ) ( {league_stats["VS"]}vs )'
-        if solo_data[0] is False:
-            return f'{message}\nSolo统计数据请求失败'
-        if solo_data[1] is False:
-            return f'{message}\nSolo统计数据请求错误:\n{solo_data[2]["error"]}'
-        sprint_stats, blitz_stats = await gather(
-            cls.get_sprint_stats(solo_data[2]),
-            cls.get_blitz_stats(solo_data[2])
-        )
-        message += f'\n40L: {sprint_stats["Time"]}s' if 'Time' in sprint_stats else ''
-        message += f' ( #{sprint_stats["Rank"]} )' if 'Rank' in sprint_stats else ''
-        message += f'\nBlitz: {blitz_stats["Score"]}' if 'Score' in blitz_stats else ''
-        message += f' ( #{blitz_stats["Rank"]} )' if 'Rank' in blitz_stats else ''
-        return message

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/request.py

@@ -1,155 +0,0 @@
-import os
-from typing import Any
-
-import aiohttp
-from nonebot import get_driver
-from nonebot.log import logger
-from playwright.async_api import Browser, Response, async_playwright
-from ujson import JSONDecodeError, dumps, loads
-
-from ...utils.config import Config
-
-driver = get_driver()
-
-config = Config.parse_obj(get_driver().config)
-
-
-@driver.on_startup
-async def _():
-    await Request.init_cache()
-    await Request.read_cache()
-
-
-@driver.on_shutdown
-async def _():
-    await Request.close_browser()
-    await Request.write_cache()
-
-
-class Request:
-    '''网络请求相关类'''
-    _browser: Browser | None = None
-    _headers: dict | None = None
-    _cookies: dict | None = None
-
-    @classmethod
-    async def _init_playwright(cls) -> Browser:
-        '''初始化playwright'''
-        playwright = await async_playwright().start()
-        cls._browser = await playwright.firefox.launch()
-        return cls._browser
-
-    @classmethod
-    async def _get_browser(cls) -> Browser:
-        '''获取浏览器对象'''
-        return cls._browser or await cls._init_playwright()
-
-    @classmethod
-    async def _anti_cloudflare(cls, url: str) -> tuple[bool, bool, dict[str, Any]]:
-        '''用firefox硬穿五秒盾'''
-        browser = await cls._get_browser()
-        context = await browser.new_context()
-        page = await context.new_page()
-        response = await page.goto(url)
-        attempts = 0
-        while attempts < 60:
-            attempts += 1
-            text = await page.locator("body").text_content()
-            if text is None:
-                await page.wait_for_timeout(1000)
-                continue
-            if await page.title() == 'Please Wait... | Cloudflare':
-                # TODO 有无人来做一个过验证码（
-                break
-            try:
-                data = loads(text)
-            except JSONDecodeError:
-                await page.wait_for_timeout(1000)
-            else:
-                assert isinstance(response, Response)
-                cls._headers = await response.request.all_headers()
-                try:
-                    cls._cookies = {i['name']: i['value'] for i in await context.cookies()}
-                except KeyError:
-                    cls._cookies = None
-                await page.close()
-                await context.close()
-                return True, data['success'], data
-        await page.close()
-        await context.close()
-        return True, False, {'error': '绕过五秒盾失败'}
-
-    @classmethod
-    async def init_cache(cls) -> None:
-        '''初始化缓存文件'''
-        if not os.path.exists(os.path.dirname(config.cache_path)):
-            os.makedirs(os.path.dirname(config.cache_path))
-        if not os.path.exists(config.cache_path):
-            with open(file=config.cache_path, mode='w', encoding='UTF-8') as file:
-                file.write(
-                    dumps(
-                        {
-                            'headers': cls._headers,
-                            'cookies': cls._cookies
-                        }
-                    )
-                )
-
-    @classmethod
-    async def read_cache(cls) -> None:
-        '''读取缓存文件'''
-        try:
-            with open(file=config.cache_path, mode='r', encoding='UTF-8') as file:
-                json = loads(file.read())
-                cls._headers = json['headers']
-                cls._cookies = json['cookies']
-        except FileNotFoundError:
-            await cls.init_cache()
-        except PermissionError:
-            os.remove(config.cache_path)
-            await cls.init_cache()
-        except JSONDecodeError:
-            os.remove(config.cache_path)
-            await cls.init_cache()
-
-    @classmethod
-    async def write_cache(cls) -> None:
-        '''写入缓存文件'''
-        try:
-            with open(file=config.cache_path, mode='r+', encoding='UTF-8') as file:
-                file.write(
-                    dumps(
-                        {
-                            'headers': cls._headers,
-                            'cookies': cls._cookies
-                        }
-                    )
-                )
-        except FileNotFoundError:
-            await cls.init_cache()
-        except PermissionError:
-            os.remove(config.cache_path)
-            await cls.init_cache()
-        except JSONDecodeError:
-            os.remove(config.cache_path)
-            await cls.init_cache()
-
-    @classmethod
-    async def request(cls, url: str) -> tuple[bool, bool, dict[str, Any]]:
-        '''请求api'''
-        try:
-            async with aiohttp.ClientSession(cookies=cls._cookies) as session:
-                async with session.get(url, headers=cls._headers) as resp:
-                    data = await resp.json()
-                    return True, data['success'], data
-        except aiohttp.client_exceptions.ClientConnectorError as error: # type: ignore
-            logger.error(f'请求错误\n{error}')
-            return False, False, {}
-        except aiohttp.client_exceptions.ContentTypeError:  # type: ignore
-            return await cls._anti_cloudflare(url)
-
-    @classmethod
-    async def close_browser(cls) -> None:
-        '''关闭浏览器对象'''
-        if isinstance(cls._browser, Browser):
-            await cls._browser.close()

nonebot_plugin_tetris_stats/game_data_processor/top_data_processor.py

@@ -1,196 +0,0 @@
-from asyncio import gather
-from re import I
-from typing import Any
-
-import aiohttp
-from lxml import etree
-from nonebot import on_regex
-from nonebot.adapters.onebot.v11 import GROUP, MessageEvent
-from nonebot.log import logger
-from nonebot.matcher import Matcher
-from pandas import read_html
-
-from ..utils.database import DataBase
-from ..utils.message_analyzer import (
-    handle_bind_message,
-    handle_stats_query_message
-)
-
-TOPBind = on_regex(pattern=r'^top绑定|^topbind', flags=I, permission=GROUP)
-TopStats = on_regex(pattern=r'^top查|^topstats', flags=I, permission=GROUP)
-
-
-@TOPBind.handle()
-async def _(event: MessageEvent, matcher: Matcher):
-    decoded_message = await handle_bind_message(message=event.raw_message, game_type='TOP')
-    if decoded_message[0] is None:
-        await matcher.finish(decoded_message[1][0])
-    elif decoded_message[0] == 'Name':
-        user_data = await get_user_data(decoded_message[1][1])
-        if user_data[0] is False:
-            await matcher.finish('用户信息请求失败')
-        else:
-            if await check_user(user_data[1]) is False:
-                await matcher.finish('用户不存在')
-            user_name = await get_user_name(user_data[1])
-            if event.sender.user_id is None:  # 理论上是不会有None出现的, ide快乐行属于是（
-                logger.error('获取QQ号失败')
-                await matcher.finish('获取QQ号失败')
-            await matcher.finish(
-                await DataBase.write_bind_info(
-                    qq_number=event.sender.user_id,
-                    user=user_name,
-                    game_type='TOP'
-                )
-            )
-
-
-@TopStats.handle()
-async def _(event: MessageEvent, matcher: Matcher):
-    decoded_message = await handle_stats_query_message(message=event.raw_message, game_type='TOP')
-    if decoded_message[0] is None:
-        await matcher.finish(decoded_message[1][0])
-    elif decoded_message[0] == 'AT':
-        if event.is_tome() is True:
-            await matcher.finish('不能查询bot的信息')
-        bind_info = await DataBase.query_bind_info(qq_number=decoded_message[1][1], game_type='TOP')
-        if bind_info is None:
-            message = '未查询到绑定信息'
-        else:
-            message = (f'* 由于无法验证绑定信息, 不能保证查询到的用户为本人\n{await generate_message(bind_info)}')
-    elif decoded_message[0] == 'ME':
-        if event.sender.user_id is None:
-            logger.error('获取QQ号失败')
-            await matcher.finish('获取QQ号失败, 请联系bot主人')
-        bind_info = await DataBase.query_bind_info(qq_number=event.sender.user_id, game_type='TOP')
-        if bind_info is None:
-            message = '未查询到绑定信息'
-        else:
-            message = (f'* 由于无法验证绑定信息, 不能保证查询到的用户为本人\n{await generate_message(bind_info)}')
-    elif decoded_message[0] == 'Name':
-        message = await generate_message(decoded_message[1][1])
-    else:
-        raise ValueError('预期外行为, 请上报GitHub')
-    await matcher.finish(message)
-
-
-async def get_user_data(user_name: str) -> tuple[bool, str]:
-    '''获取用户信息'''
-    url = f'http://tetrisonline.pl/top/profile.php?user={user_name}'
-    try:
-        async with aiohttp.ClientSession() as session:
-            async with session.get(url) as resp:
-                return True, await resp.text()
-    except aiohttp.client_exceptions.ClientConnectorError as error: # type: ignore
-        logger.error(error)
-        return False, ''
-
-
-async def check_user(user_data: str) -> bool:
-    '''如果用户存在返回True, 如果用户不存在返回False'''
-    return user_data.find('user not found!') == -1
-
-
-async def get_user_name(user_data: str) -> str:
-    '''获取用户名'''
-    data = etree.HTML(user_data).xpath('//div[@class="mycontent"]/h1/text()')
-    if isinstance(data, list):
-        return str(data[0]).replace('\'s profile', '')
-    raise TypeError('预期外行为, 请上报GitHub')
-
-
-async def get_game_stats(user_data: str) -> dict[str, dict[str, Any]]:
-    '''获取游戏统计数据'''
-    game_stats: dict[str, Any] = {'24H': {}, 'All': {}}
-    html = etree.HTML(user_data)
-    data = html.xpath('//div[@class="mycontent"]//text()')
-    if isinstance(data, list):
-        for i in data:
-            if not isinstance(i, str):
-                i = str(i)
-            i = i.strip()
-            if i.startswith('lpm:'):
-                game_stats['24H']['LPM'] = i.replace('lpm:', '').strip()
-            if i.startswith('apm:'):
-                game_stats['24H']['APM'] = i.replace('apm:', '').strip()
-            if 'LPM' in game_stats['24H'] and 'APM' in game_stats['24H']:
-                break
-    else:
-        raise TypeError('预期外行为, 请上报GitHub')
-    # 如果没有24H统计数据
-    if game_stats['24H'].get('LPM') in [None, ''] or game_stats['24H'].get('APM') in [None, '']:
-        game_stats['24H'].pop('LPM', None)
-        game_stats['24H'].pop('APM', None)
-    else:
-        game_stats['24H']['PPS'] = round(
-            float(game_stats['24H']['LPM']) / 24, 2)
-        game_stats['24H']['APL'] = round(
-            float(game_stats['24H']['APM']) / float(game_stats['24H']['LPM']), 2)
-        game_stats['24H']['LPM'] = round(float(game_stats['24H']['LPM']), 2)
-        game_stats['24H']['APM'] = round(float(game_stats['24H']['APM']), 2)
-    table = html.xpath('//table')
-    if isinstance(table, list):
-        if isinstance(table[0], etree._Element):
-            stats_table = etree.tostring(table[0], encoding='utf-8').decode()
-            df = read_html(stats_table, encoding='utf-8', header=0)[0]
-            results = df.T.to_dict().values()
-            if results:
-                game_stats['All']['LPM'] = 0
-                game_stats['All']['APM'] = 0
-                for i in results:
-                    if isinstance(i, dict):
-                        game_stats['All']['LPM'] += i['lpm']
-                        game_stats['All']['APM'] += i['apm']
-                game_stats['All']['LPM'] = game_stats['All']['LPM'] / \
-                    len(results)
-                game_stats['All']['APM'] = game_stats['All']['APM'] / \
-                    len(results)
-                game_stats['All']['PPS'] = round(
-                    game_stats['All']['LPM'] / 24, 2)
-                game_stats['All']['APL'] = round(
-                    float(game_stats['All']['APM']) / float(game_stats['All']['LPM']), 2)
-                game_stats['All']['LPM'] = round(
-                    float(game_stats['All']['LPM']), 2)
-                game_stats['All']['APM'] = round(
-                    float(game_stats['All']['APM']), 2)
-    else:
-        raise TypeError('预期外行为, 请上报GitHub')
-    return game_stats
-
-
-async def generate_message(user_name: str) -> str:
-    '''生成消息'''
-    user_data = await get_user_data(user_name)
-    if user_data[0] is False:
-        return '用户信息请求失败'
-    if await check_user(user_data[1]) is False:
-        return '用户不存在'
-    user_name, game_stats = await gather(
-        get_user_name(user_data[1]),
-        get_game_stats(user_data[1])
-    )
-    message = ''
-    if game_stats['24H'] and game_stats['All']:
-        message += f'用户 {user_name} 24小时内统计数据为: '
-        message += f'\nL\'PM: {game_stats["24H"]["LPM"]} ( {game_stats["24H"]["PPS"]} pps )'
-        message += f'\nAPM: {game_stats["24H"]["APM"]} ( x{game_stats["24H"]["APL"]} )'
-        message += '\n历史统计数据为: '
-        message += f'\nL\'PM: {game_stats["All"]["LPM"]} ( {game_stats["All"]["PPS"]} pps )'
-        message += f'\nAPM: {game_stats["All"]["APM"]} ( x{game_stats["All"]["APL"]} )'
-    elif game_stats['24H'] and not game_stats['All']:
-        message += f'用户 {user_name} 24小时内统计数据为: '
-        message += f'\nL\'PM: {game_stats["24H"]["LPM"]} ( {game_stats["24H"]["PPS"]} pps )'
-        message += f'\nAPM: {game_stats["24H"]["APM"]} ( x{game_stats["24H"]["APL"]} )'
-        message += '\n暂无历史统计数据'
-        message += '\n( 这理论上不该存在, 如果你看到了, 请联系bot主人查看后台'
-        logger.error(f'老实说这个不算Error, 但是理论上不应该有, 如果你看到了这条日志, 我希望你能来Github发个issue（\
-user_name: {user_name}\
-user_data: {user_data}\
-game_stats: {game_stats}')
-    elif not game_stats['24H'] and game_stats['All']:
-        message += f'用户 {user_name} 暂无24小时内统计数据, 历史统计数据为: '
-        message += f'\nL\'PM: {game_stats["All"]["LPM"]} ( {game_stats["All"]["PPS"]} pps )'
-        message += f'\nAPM: {game_stats["All"]["APM"]} ( x{game_stats["All"]["APL"]} )'
-    else:
-        message += f'用户 {user_name} 暂无24小时内统计数据, 暂无历史统计数据'
-    return message

nonebot_plugin_tetris_stats/game_data_processor/tos_data_processor.py

@@ -1,179 +0,0 @@
-from asyncio import gather
-from re import I
-from typing import Any
-
-import aiohttp
-from nonebot import on_regex
-from nonebot.adapters.onebot.v11 import GROUP, MessageEvent
-from nonebot.log import logger
-from nonebot.matcher import Matcher
-
-from ..utils.message_analyzer import handle_stats_query_message
-
-TOSStats = on_regex(
-    pattern=r'^tos查|^tostats|^tosstats|^茶服查|^茶服stats',
-    flags=I,
-    permission=GROUP
-)
-
-
-@TOSStats.handle()
-async def _(event: MessageEvent, matcher: Matcher):
-    decoded_message = await handle_stats_query_message(message=event.raw_message, game_type='TOS')
-    if decoded_message[0] is None:
-        await matcher.finish(decoded_message[1][0])
-    elif decoded_message[0] == 'AT' or decoded_message[0] == 'QQ':
-        if decoded_message[1][1] == event.self_id:
-            await matcher.finish('不能查询bot的信息')
-        message = await generate_message(tea_id=decoded_message[1][1])
-    elif decoded_message[0] == 'ME':
-        message = await generate_message(tea_id=event.sender.user_id)
-    elif decoded_message[0] == 'Name':
-        message = await generate_message(user_name=decoded_message[1][1])
-    else:
-        raise ValueError('预期外行为, 请上报GitHub')
-    await matcher.finish(message)
-
-
-async def request(url: str) -> tuple[bool, bool, dict[str, Any]]:
-    '''请求api'''
-    try:
-        async with aiohttp.ClientSession() as session:
-            async with session.get(url) as resp:
-                data = await resp.json()
-                return True, data['success'], data
-    except aiohttp.client_exceptions.ClientConnectorError as error: # type: ignore
-        logger.error(f'请求错误\n{error}')
-        return False, False, {}
-
-
-async def get_user_info(
-    user_name: str | None = None,
-    tea_id: int | None = None
-) -> tuple[bool, bool, dict[str, Any]]:
-    '''获取用户信息'''
-    if user_name is not None and tea_id is None:
-        user_data_url = f'https://teatube.cn:8888/getUsernameInfo?username={user_name}'
-    elif user_name is None and tea_id is not None:
-        user_data_url = f'https://teatube.cn:8888/getTeaIdInfo?teaId={tea_id}'
-    else:
-        raise ValueError('预期外行为, 请上报GitHub')
-    return await request(user_data_url)
-
-
-async def get_user_data(
-    user_name: str | None = None,
-    tea_id: int | None = None,
-    other_parameter: str = ''
-) -> tuple[bool, bool, dict[str, Any]]:
-    '''获取用户数据'''
-    if user_name is not None and tea_id is None:
-        user_data_url = f'https://teatube.cn:8888/getProfile?id={user_name}{other_parameter}'
-    elif user_name is None and tea_id is not None:
-        user_data_url = f'https://teatube.cn:8888/getProfile?id={tea_id}{other_parameter}'
-    else:
-        raise ValueError('预期外行为, 请上报GitHub')
-    return await request(user_data_url)
-
-
-async def get_rank_stats(user_info: dict) -> dict[str, float]:
-    '''获取Rank数据'''
-    data = user_info['data']
-    rank_stats = {}
-    if int(data['rankedGames']) != 0:
-        rank_stats['Rating'] = round(float(data['ratingNow']), 2)
-        rank_stats['RD'] = round(float(data['rdNow']), 2)
-        rank_stats['Vol'] = round(float(data['volNow']), 3)
-    return rank_stats
-
-
-async def get_game_data(user_data: dict) -> dict[str, int | float]:
-    '''获取游戏数据'''
-    game_data: dict[str, int | float] = {}
-    if user_data['data'] != []:
-        weighted_total_lpm = weighted_total_apm = weighted_total_adpm = total_time = num = 0
-        for i in user_data['data']:
-            # 排除单人局和时间为0的游戏
-            if i['num_players'] == 1 or i['time'] == 0:
-                continue
-            # 茶：不计算没挖掘的局, 即使apm和lpm也如此
-            if i['dig'] is None:
-                continue
-            # 加权计算
-            time = i['time'] / 1000
-            lpm = 24 * (i['pieces'] / time)
-            apm = (i['attack'] / time) * 60
-            adpm = ((i['attack'] + i['dig']) / time) * 60
-            weighted_total_lpm += lpm * time
-            weighted_total_apm += apm * time
-            weighted_total_adpm += adpm * time
-            total_time += time
-            num += 1
-            if num == 50:
-                break
-        if num > 0:
-            game_data['NUM'] = num
-            game_data['LPM'] = round((weighted_total_lpm / total_time), 2)
-            game_data['APM'] = round((weighted_total_apm / total_time), 2)
-            game_data['ADPM'] = round((weighted_total_adpm / total_time), 2)
-            game_data['PPS'] = round((game_data['LPM'] / 24), 2)
-            game_data['APL'] = round((game_data['APM'] / game_data['LPM']), 2)
-            game_data['ADPL'] = round(
-                (game_data['ADPM'] / game_data['LPM']), 2)
-            game_data['VS'] = round((game_data['ADPM'] / 60 * 100), 2)
-        # TODO: 如果有效局数不满50, 没有无dig信息的局, 且userData['data']内有50个局, 则继续往前获取信息
-    return game_data
-
-
-async def get_pb_data(user_info: dict) -> dict[str, float | str]:
-    '''获取PB数据'''
-    pb_data: dict[str, float | str] = {}
-    data = user_info['data']
-    if int(data['PBSprint']) != 2147483647:
-        pb_data['Sprint'] = round(float(data['PBSprint']) / 1000, 2)
-    if int(data['PBMarathon']) != 0:
-        pb_data['Marathon'] = data['PBMarathon']
-    if int(data['PBChallenge']) != 0:
-        pb_data['Challenge'] = data['PBChallenge']
-    return pb_data
-
-
-async def generate_message(
-    user_name: str | None = None,
-    tea_id: int | None = None
-) -> str:
-    '''生成消息'''
-    user_info, user_data = await gather(
-        get_user_info(user_name=user_name, tea_id=tea_id),
-        get_user_data(user_name=user_name, tea_id=tea_id)
-    )
-    if user_info[0] is False:
-        return '用户信息请求失败'
-    if user_info[1] is False:
-        return f'用户信息请求错误:\n{user_info[2]["error"]}'
-    rank_stats, pb_data = await gather(
-        get_rank_stats(user_info[2]),
-        get_pb_data(user_info[2])
-    )
-    message = f'用户 {user_info[2]["data"]["name"]} ({user_info[2]["data"]["teaId"]}) '
-    if not rank_stats:
-        message += '暂无段位统计数据'
-    else:
-        message += f', 段位分 {rank_stats["Rating"]}±{rank_stats["RD"]} ({rank_stats["Vol"]}) '
-    if user_data[0] is False:
-        message = f'{message.rstrip()}\n游戏数据请求失败'
-    elif user_data[1] is False:
-        message = f'{message.rstrip()}\n游戏数据请求错误:\n{user_data[2]["error"]}'
-    else:
-        game_data = await get_game_data(user_data[2])
-        if not game_data:
-            message += ', 暂无游戏数据'
-        else:
-            message += f', 最近 {game_data["NUM"]} 局数据'
-            message += f'\nL\'PM: {game_data["LPM"]} ( {game_data["PPS"]} pps )'
-            message += f'\nAPM：{game_data["APM"]} ( x{game_data["APL"]} )'
-            message += f'\nADPM：{game_data["ADPM"]} ( x{game_data["ADPL"]} ) ( {game_data["VS"]}vs )'
-    message += f'\n40L: {pb_data["Sprint"]}s' if 'Sprint' in pb_data else ''
-    message += f'\nMarathon: {pb_data["Marathon"]}' if 'Marathon' in pb_data else ''
-    message += f'\nChallenge: {pb_data["Challenge"]}' if 'Challenge' in pb_data else ''
-    return message

nonebot_plugin_tetris_stats/games/__init__.py

@@ -0,0 +1,56 @@
+from collections.abc import Callable
+
+from nonebot.adapters import Bot
+from nonebot.matcher import Matcher
+from nonebot.message import run_postprocessor
+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
+
+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,
+)
+
+
+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(Lang.interaction.wrong.query_bot())
+
+
+from . import tetrio, top, tos  # noqa: F401, E402
+
+
+@alc.handle()
+async def _(matcher: Matcher, account: MessageFormatError):
+    await matcher.finish(str(account))
+
+
+@alc.handle()
+async def _(matcher: Matcher, matches: AlcMatches):
+    if (matches.head_matched and matches.options != {}) or matches.main_args == {}:
+        await matcher.finish(
+            (f'{matches.error_info!r}\n' if matches.error_info is not None else '')
+            + Lang.help.usage(command=matches.header_result)
+        )
+
+
+@run_postprocessor
+async def _(matcher: Matcher, exception: NeedCatchError):
+    await matcher.send(str(exception))

nonebot_plugin_tetris_stats/games/schemas.py

@@ -0,0 +1,28 @@
+from abc import ABC, abstractmethod
+from typing import Generic, TypeVar
+
+from pydantic import BaseModel
+from typing_extensions import override
+
+from ..utils.typedefs import GameType
+
+T = TypeVar('T', bound=GameType)
+
+
+class BaseUser(BaseModel, ABC, Generic[T]):
+    """游戏用户"""
+
+    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

@@ -0,0 +1,40 @@
+from nonebot_plugin_alconna import Subcommand
+
+from ...utils.exception import MessageFormatError
+from .. import alc
+from .. import command as main_command
+from .api import Player
+from .constant import USER_ID, USER_NAME
+
+
+def get_player(user_id_or_name: str) -> Player | MessageFormatError:
+    if USER_ID.match(user_id_or_name):
+        return Player(user_id=user_id_or_name, trust=True)
+    if USER_NAME.match(user_id_or_name):
+        return Player(user_name=user_id_or_name, trust=True)
+    return MessageFormatError('用户名/ID不合法')
+
+
+command = Subcommand(
+    'TETR.IO',
+    alias=['TETRIO', 'tetr.io', 'tetrio', 'io'],
+    dest='TETRIO',
+    help_text='TETR.IO 游戏相关指令',
+)
+
+
+from . import bind, config, list, query, rank, record, unbind, verify  # noqa: A004, E402
+
+main_command.add(command)
+
+__all__ = [
+    'alc',
+    'bind',
+    'config',
+    'list',
+    'query',
+    'rank',
+    'record',
+    'unbind',
+    'verify',
+]

nonebot_plugin_tetris_stats/games/tetrio/api/__init__.py

@@ -0,0 +1,5 @@
+from .player import Player
+from .schemas.user import User
+from .schemas.user_info import UserInfoSuccess
+
+__all__ = ['Player', 'User', 'UserInfoSuccess']

nonebot_plugin_tetris_stats/games/tetrio/api/cache.py

@@ -0,0 +1,42 @@
+from asyncio import Lock
+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[URL, Lock]] = WeakValueDictionary()
+
+    @classmethod
+    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, 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,
+                    response_data,
+                    (parsed_data.cache.cached_until - datetime.now(UTC)).total_seconds(),
+                )
+            return response_data

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

@@ -0,0 +1,20 @@
+from datetime import datetime
+from typing import Literal
+
+from nonebot_plugin_orm import Model
+from sqlalchemy import DateTime, String
+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', 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

@@ -0,0 +1,243 @@
+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 ..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 .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
+    def __init__(self, *, user_name: str, trust: bool = False): ...
+    def __init__(self, *, user_id: str | None = None, user_name: str | None = None, trust: bool = False):
+        self.user_id = user_id
+        self.user_name = user_name
+        if not trust:
+            if self.user_id is not None:
+                if not USER_ID.match(self.user_id):
+                    msg = 'Invalid user id'
+                    raise ValueError(msg)
+            elif self.user_name is not None:
+                if not USER_NAME.match(self.user_name):
+                    msg = 'Invalid user name'
+                    raise ValueError(msg)
+            else:
+                msg = 'Invalid user'
+                raise ValueError(msg)
+        self.__user: User | None = None
+        self._user_info: UserInfoSuccess | None = None
+        self._summaries: dict[Summaries, SummariesModel] = {}
+        self._records: dict[RecordKey, RecordsSoloSuccessModel] = {}
+        self._leagueflow: LeagueFlowSuccess | None = None
+
+    @property
+    def _request_user_parameter(self) -> str:
+        return self.user_id or cast('str', self.user_name).lower()
+
+    @property
+    async def user(self) -> User:
+        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.id,
+                name=user_info.data.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(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(
+                    user_unique_identifier=(await self.user).unique_identifier,
+                    api_type='User Info',
+                    data=user_info,
+                    update_time=user_info.cache.cached_at,
+                ),
+            )
+        return self._user_info
+
+    @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
+            )
+            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._summaries[summaries_type] = summaries
+            await anti_duplicate_add(
+                TETRIOHistoricalData(
+                    user_unique_identifier=(await self.user).unique_identifier,
+                    api_type=summaries_type,
+                    data=summaries,
+                    update_time=summaries.cache.cached_at,
+                ),
+            )
+        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/__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/user.py

@@ -0,0 +1,18 @@
+from typing import Literal
+
+from typing_extensions import override
+
+from ....schemas import BaseUser
+from ...constant import GAME_TYPE
+
+
+class User(BaseUser[Literal['IO']]):
+    platform: Literal['IO'] = GAME_TYPE
+
+    ID: str
+    name: str
+
+    @property
+    @override
+    def unique_identifier(self) -> str:
+        return self.ID

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

@@ -0,0 +1,80 @@
+from datetime import datetime
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from .base import ArCounts, FailedModel
+from .base import SuccessModel as BaseSuccessModel
+
+
+class Badge(BaseModel):
+    id: str
+    label: str
+    group: str | None = None
+    ts: datetime | Literal[False] | None = None
+
+
+class Connection(BaseModel):
+    id: str
+    username: str
+    display_username: str
+
+
+class Connections(BaseModel):
+    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 OldUsernames(BaseModel):
+    username: str
+    ts: datetime
+
+
+class Data(BaseModel):
+    id: str = Field(default=..., alias='_id')
+    username: str
+    role: Literal['anon', 'user', 'bot', 'halfmod', 'mod', 'admin', 'sysop', 'hidden', 'banned']
+    ts: datetime | None = None
+    botmaster: str | None = None
+    badges: list[Badge]
+    xp: float
+    gamesplayed: int
+    gameswon: int
+    gametime: float
+    country: str | None = None
+    badstanding: bool | None = None
+    supporter: bool | None = None  # osk说是必有, 但实际上不是 fkosk
+    supporter_tier: int
+    avatar_revision: int | None = None
+    """This user's avatar ID. Get their avatar at
+
+    https://tetr.io/user-content/avatars/{ USERID }.jpg?rv={ AVATAR_REVISION }"""
+    banner_revision: int | None = None
+    """This user's banner ID. Get their banner at
+
+    https://tetr.io/user-content/banners/{ USERID }.jpg?rv={ BANNER_REVISION }
+
+    Ignore this field if the user is not a supporter."""
+    bio: str | None = None
+    connections: Connections
+    friend_count: int | None = None
+    distinguishment: Distinguishment | None = None
+    achievements: list[int]
+    ar: int
+    ar_counts: ArCounts
+    oldusernames: list[OldUsernames]
+
+
+class UserInfoSuccess(BaseSuccessModel):
+    data: Data
+
+
+UserInfo = UserInfoSuccess | FailedModel

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/bind.py

@@ -0,0 +1,144 @@
+from asyncio import gather
+from hashlib import md5
+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_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 ...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, 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: 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 = await account.user
+        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,
+            )
+        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=None,
+                )
+            ).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

@@ -0,0 +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_uninfo import Uninfo
+from nonebot_plugin_uninfo.orm import get_session_persist_id
+from nonebot_plugin_user import User
+from sqlalchemy import select
+
+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 .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,
+    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

@@ -0,0 +1,37 @@
+from re import compile  # noqa: A004
+from typing import Literal
+
+from yarl import URL
+
+from .api.typedefs import ValidRank
+
+GAME_TYPE: Literal['IO'] = 'IO'
+
+BASE_URL = URL('https://ch.tetr.io/api/')
+
+RANK_PERCENTILE: dict[ValidRank, float] = {
+    'x+': 0.2,
+    'x': 1,
+    'u': 5,
+    'ss': 11,
+    's+': 17,
+    's': 23,
+    's-': 30,
+    'a+': 38,
+    'a': 46,
+    'a-': 54,
+    'b+': 62,
+    'b': 70,
+    'b-': 78,
+    'c+': 84,
+    'c': 90,
+    'c-': 95,
+    'd+': 97.5,
+    'd': 100,
+}
+
+TR_MIN = 0
+TR_MAX = 25000
+
+USER_ID = compile(r'^[a-f0-9]{24}$')
+USER_NAME = compile(r'^[a-zA-Z0-9_-]{3,16}$')

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

@@ -0,0 +1,80 @@
+from datetime import datetime, timedelta
+from uuid import UUID
+
+from nonebot_plugin_orm import Model
+from sqlalchemy import DateTime, ForeignKey, Integer, Interval, String, UniqueConstraint
+from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column, relationship
+
+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/__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/__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/typedefs.py

@@ -0,0 +1,3 @@
+from typing import Literal
+
+Template = Literal['v1', 'v2']

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='unbind',
+                    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)