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v2026.01.1
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4
.github/copilot-instructions.md
vendored
4
.github/copilot-instructions.md
vendored
@@ -40,7 +40,7 @@ plugins/actions/export_to_docx/
|
||||
- 格式: `**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** x.x.x | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)`
|
||||
- **注意**: Author 和 Project 为固定值，仅需更新 Version 版本号
|
||||
3. **描述 (Description)**: 一句话功能介绍
|
||||
4. **最新更新 (What's New)**: **必须**放在描述之后，显著展示最新版本的变更点
|
||||
4. **最新更新 (What's New)**: **必须**放在描述之后，显著展示最新版本的变更点 (仅展示最近 3 次更新)
|
||||
5. **核心特性 (Key Features)**: 使用 Emoji + 粗体标题 + 描述格式
|
||||
6. **使用方法 (How to Use)**: 按步骤说明
|
||||
7. **配置参数 (Configuration/Valves)**: 使用表格格式，包含参数名、默认值、描述
|
||||
@@ -96,7 +96,7 @@ example code or syntax here
|
||||
|
||||
### 文档内容要求 (Content Requirements)
|
||||
|
||||
- **新增功能**: 必须在 "What's New" 章节中明确列出，使用 Emoji + 粗体标题格式。
|
||||
- **新增功能**: 必须在 "What's New" 章节中明确列出，使用 Emoji + 粗体标题格式 (仅保留最近 3 个版本的更新记录)。
|
||||
- **双语**: 必须提供 `README.md` (英文) 和 `README_CN.md` (中文)。
|
||||
- **表格对齐**: 配置参数表格使用左对齐 `:---`。
|
||||
- **Emoji 规范**: 标题使用合适的 Emoji 增强可读性。
|
||||
|
||||
5
.github/workflows/publish_plugin.yml
vendored
5
.github/workflows/publish_plugin.yml
vendored
@@ -1,6 +1,11 @@
|
||||
name: Publish Plugins to OpenWebUI Market
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
- main
|
||||
paths:
|
||||
- 'plugins/**/*.py'
|
||||
release:
|
||||
types: [published]
|
||||
workflow_dispatch:
|
||||
|
||||
@@ -1,87 +1,16 @@
|
||||
# 贡献指南 (Contributing Guide)
|
||||
# Contributing Guide
|
||||
|
||||
感谢你对 **OpenWebUI Extras** 感兴趣！我们非常欢迎社区贡献更多的插件、提示词和创意。
|
||||
Thank you for your interest in **OpenWebUI Extras**!
|
||||
|
||||
## 🤝 如何贡献
|
||||
## 🚀 How to Contribute
|
||||
|
||||
### 1. 分享提示词 (Prompts)
|
||||
1. **Fork** this repository.
|
||||
2. **Add/Modify** the plugin file in the `plugins/` directory.
|
||||
3. **Submit PR**: We will review and merge it.
|
||||
|
||||
如果你有一个好用的提示词：
|
||||
1. 在 `prompts/` 目录下找到合适的分类（如 `coding/`, `writing/`）。如果没有合适的，可以新建一个文件夹。
|
||||
2. 创建一个新的 `.md` 或 `.json` 文件。
|
||||
3. 提交 Pull Request (PR)。
|
||||
## 💡 Important
|
||||
|
||||
### 2. 开发插件 (Plugins)
|
||||
- Ensure your plugin includes complete metadata (title, author, version, description).
|
||||
- If updating an existing plugin, please **increment the version number** (e.g., `0.1.0` -> `0.1.1`) to trigger the auto-update.
|
||||
|
||||
如果你开发了一个新的 OpenWebUI 插件 (Function/Tool)：
|
||||
1. 确保你的插件代码包含完整的元数据（Frontmatter）：
|
||||
```python
|
||||
"""
|
||||
title: 插件名称
|
||||
author: 你的名字
|
||||
version: 0.1.0
|
||||
description: 简短描述插件的功能
|
||||
"""
|
||||
```
|
||||
2. 将插件文件放入 `plugins/` 目录下的合适位置：
|
||||
- `plugins/actions/`: 用于添加按钮或修改消息的 Action 插件。
|
||||
- `plugins/filters/`: 用于拦截请求或响应的 Filter 插件。
|
||||
- `plugins/pipes/`: 用于自定义模型或 API 的 Pipe 插件。
|
||||
- `plugins/tools/`: 用于 LLM 调用的 Tool 插件。
|
||||
3. 建议在 `docs/` 下添加一个简单的使用说明。
|
||||
|
||||
### 3. 改进文档
|
||||
|
||||
如果你发现文档有错误或可以改进的地方，直接提交 PR 即可。
|
||||
|
||||
## 🛠️ 开发规范
|
||||
|
||||
- **代码风格**：Python 代码请遵循 PEP 8 规范。
|
||||
- **注释**：关键逻辑请添加注释，方便他人理解。
|
||||
- **测试**：提交前请在本地 OpenWebUI 环境中测试通过。
|
||||
|
||||
## 📝 提交 PR
|
||||
|
||||
1. Fork 本仓库。
|
||||
2. 创建一个新的分支 (`git checkout -b feature/AmazingFeature`)。
|
||||
3. 提交你的修改 (`git commit -m 'Add some AmazingFeature'`)。
|
||||
4. 推送到分支 (`git push origin feature/AmazingFeature`)。
|
||||
5. 开启一个 Pull Request。
|
||||
|
||||
## 📦 版本更新与发布
|
||||
|
||||
当你更新插件时，请遵循以下流程：
|
||||
|
||||
### 1. 更新版本号
|
||||
|
||||
在插件文件的 docstring 中更新版本号（遵循[语义化版本](https://semver.org/lang/zh-CN/)）：
|
||||
|
||||
```python
|
||||
"""
|
||||
title: 我的插件
|
||||
version: 0.2.0 # 更新此处
|
||||
...
|
||||
"""
|
||||
```
|
||||
|
||||
### 2. 更新更新日志
|
||||
|
||||
在 `CHANGELOG.md` 的 `[Unreleased]` 部分添加你的更改：
|
||||
|
||||
```markdown
|
||||
### Added / 新增
|
||||
- 新功能描述
|
||||
|
||||
### Fixed / 修复
|
||||
- Bug 修复描述
|
||||
```
|
||||
|
||||
### 3. 发布流程
|
||||
|
||||
维护者会通过以下方式发布新版本：
|
||||
- 手动触发 GitHub Actions 中的 "Plugin Release" 工作流
|
||||
- 或创建版本标签 (`v*`)
|
||||
|
||||
详细说明请参阅 [发布工作流文档](docs/release-workflow.zh.md)。
|
||||
|
||||
再次感谢你的贡献！🚀
|
||||
Thank you! 🚀
|
||||
|
||||
16
CONTRIBUTING_CN.md
Normal file
16
CONTRIBUTING_CN.md
Normal file
@@ -0,0 +1,16 @@
|
||||
# 贡献指南
|
||||
|
||||
感谢你对 **OpenWebUI Extras** 感兴趣！
|
||||
|
||||
## 🚀 贡献流程
|
||||
|
||||
1. **Fork** 本仓库。
|
||||
2. **修改/添加** `plugins/` 目录下的插件文件。
|
||||
3. **提交 PR**: 我们会尽快审核并合并。
|
||||
|
||||
## 💡 注意事项
|
||||
|
||||
- 请确保插件包含完整的元数据（title, author, version, description）。
|
||||
- 如果是更新已有插件，请记得**增加版本号**（如 `0.1.0` -> `0.1.1`），这样系统会自动同步更新。
|
||||
|
||||
再次感谢你的贡献！🚀
|
||||
25
README.md
25
README.md
@@ -7,26 +7,28 @@ A collection of enhancements, plugins, and prompts for [OpenWebUI](https://githu
|
||||
<!-- STATS_START -->
|
||||
## 📊 Community Stats
|
||||
|
||||
> 🕐 Auto-updated: 2026-01-10 17:08
|
||||
> 🕐 Auto-updated: 2026-01-11 19:06
|
||||
|
||||
| 👤 Author | 👥 Followers | ⭐ Points | 🏆 Contributions |
|
||||
|:---:|:---:|:---:|:---:|
|
||||
| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **71** | **72** | **21** |
|
||||
| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **78** | **79** | **22** |
|
||||
|
||||
| 📝 Posts | ⬇️ Downloads | 👁️ Views | 👍 Upvotes | 💾 Saves |
|
||||
|:---:|:---:|:---:|:---:|:---:|
|
||||
| **14** | **1066** | **11486** | **64** | **66** |
|
||||
| **14** | **1134** | **12338** | **69** | **68** |
|
||||
|
||||
### 🔥 Top 6 Popular Plugins
|
||||
|
||||
| Rank | Plugin | Downloads | Views |
|
||||
|:---:|------|:---:|:---:|
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 341 | 3080 |
|
||||
| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 181 | 551 |
|
||||
| 🥉 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 125 | 1390 |
|
||||
| 4️⃣ | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 116 | 1355 |
|
||||
| 5️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 92 | 1735 |
|
||||
| 6️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 87 | 800 |
|
||||
> 🕐 Auto-updated: 2026-01-11 19:06
|
||||
|
||||
| Rank | Plugin | Downloads | Views | Updated |
|
||||
|:---:|------|:---:|:---:|:---:|
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 363 | 3289 | 2026-01-07 |
|
||||
| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 183 | 568 | 2026-01-07 |
|
||||
| 🥉 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 132 | 1475 | 2026-01-11 |
|
||||
| 4️⃣ | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 129 | 1437 | 2026-01-07 |
|
||||
| 5️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 99 | 1812 | 2026-01-07 |
|
||||
| 6️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 89 | 834 | 2026-01-07 |
|
||||
|
||||
*See full stats in [Community Stats Report](./docs/community-stats.md)*
|
||||
<!-- STATS_END -->
|
||||
@@ -49,6 +51,7 @@ Located in the `plugins/` directory, containing Python-based enhancements:
|
||||
- **Async Context Compression** (`async-context-compression`): Optimizes token usage via context compression.
|
||||
- **Context Enhancement** (`context_enhancement_filter`): Enhances chat context.
|
||||
- **Gemini Manifold Companion** (`gemini_manifold_companion`): Companion filter for Gemini Manifold.
|
||||
- **Markdown Normalizer** (`markdown_normalizer`): Fixes common Markdown formatting issues in LLM outputs.
|
||||
|
||||
|
||||
#### Pipes
|
||||
|
||||
27
README_CN.md
27
README_CN.md
@@ -7,26 +7,28 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
|
||||
<!-- STATS_START -->
|
||||
## 📊 社区统计
|
||||
|
||||
> 🕐 自动更新于 2026-01-10 17:08
|
||||
> 🕐 自动更新于 2026-01-11 19:06
|
||||
|
||||
| 👤 作者 | 👥 粉丝 | ⭐ 积分 | 🏆 贡献 |
|
||||
|:---:|:---:|:---:|:---:|
|
||||
| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **71** | **72** | **21** |
|
||||
| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **78** | **79** | **22** |
|
||||
|
||||
| 📝 发布 | ⬇️ 下载 | 👁️ 浏览 | 👍 点赞 | 💾 收藏 |
|
||||
|:---:|:---:|:---:|:---:|:---:|
|
||||
| **14** | **1066** | **11486** | **64** | **66** |
|
||||
| **14** | **1134** | **12338** | **69** | **68** |
|
||||
|
||||
### 🔥 热门插件 Top 6
|
||||
|
||||
| 排名 | 插件 | 下载 | 浏览 |
|
||||
|:---:|------|:---:|:---:|
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 341 | 3080 |
|
||||
| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 181 | 551 |
|
||||
| 🥉 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 125 | 1390 |
|
||||
| 4️⃣ | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 116 | 1355 |
|
||||
| 5️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 92 | 1735 |
|
||||
| 6️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 87 | 800 |
|
||||
> 🕐 自动更新于 2026-01-11 19:06
|
||||
|
||||
| 排名 | 插件 | 下载 | 浏览 | 更新日期 |
|
||||
|:---:|------|:---:|:---:|:---:|
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 363 | 3289 | 2026-01-07 |
|
||||
| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 183 | 568 | 2026-01-07 |
|
||||
| 🥉 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 132 | 1475 | 2026-01-11 |
|
||||
| 4️⃣ | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 129 | 1437 | 2026-01-07 |
|
||||
| 5️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 99 | 1812 | 2026-01-07 |
|
||||
| 6️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 89 | 834 | 2026-01-07 |
|
||||
|
||||
*完整统计请查看 [社区统计报告](./docs/community-stats.zh.md)*
|
||||
<!-- STATS_END -->
|
||||
@@ -49,6 +51,7 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
|
||||
- **Async Context Compression** (`async-context-compression`): 异步上下文压缩，优化 Token 使用。
|
||||
- **Context Enhancement** (`context_enhancement_filter`): 上下文增强过滤器。
|
||||
- **Gemini Manifold Companion** (`gemini_manifold_companion`): Gemini Manifold 配套增强。
|
||||
- **Markdown Normalizer** (`markdown_normalizer`): 修复 LLM 输出中常见的 Markdown 格式问题。
|
||||
|
||||
#### Pipes (模型管道)
|
||||
- **Gemini Manifold** (`gemini_mainfold`): 集成 Gemini 模型的管道。
|
||||
@@ -105,4 +108,4 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
|
||||
2. 将你的文件添加到对应的 `prompts/` 或 `plugins/` 目录。
|
||||
3. 提交 Pull Request。
|
||||
|
||||
[贡献指南](./CONTRIBUTING.md) | [更新日志](./CHANGELOG.md)
|
||||
[贡献指南](./CONTRIBUTING_CN.md) | [更新日志](./CHANGELOG.md)
|
||||
|
||||
@@ -1,15 +1,15 @@
|
||||
{
|
||||
"total_posts": 14,
|
||||
"total_downloads": 1066,
|
||||
"total_views": 11486,
|
||||
"total_upvotes": 64,
|
||||
"total_downloads": 1134,
|
||||
"total_views": 12338,
|
||||
"total_upvotes": 69,
|
||||
"total_downvotes": 2,
|
||||
"total_saves": 66,
|
||||
"total_comments": 15,
|
||||
"total_saves": 68,
|
||||
"total_comments": 17,
|
||||
"by_type": {
|
||||
"filter": 2,
|
||||
"unknown": 1,
|
||||
"action": 11,
|
||||
"filter": 2
|
||||
"action": 11
|
||||
},
|
||||
"posts": [
|
||||
{
|
||||
@@ -19,8 +19,8 @@
|
||||
"version": "0.9.1",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
|
||||
"downloads": 341,
|
||||
"views": 3080,
|
||||
"downloads": 363,
|
||||
"views": 3289,
|
||||
"upvotes": 10,
|
||||
"saves": 21,
|
||||
"comments": 10,
|
||||
@@ -35,8 +35,8 @@
|
||||
"version": "0.3.7",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Extracts tables from chat messages and exports them to Excel (.xlsx) files with smart formatting.",
|
||||
"downloads": 181,
|
||||
"views": 551,
|
||||
"downloads": 183,
|
||||
"views": 568,
|
||||
"upvotes": 3,
|
||||
"saves": 4,
|
||||
"comments": 0,
|
||||
@@ -48,16 +48,16 @@
|
||||
"title": "Async Context Compression",
|
||||
"slug": "async_context_compression_b1655bc8",
|
||||
"type": "filter",
|
||||
"version": "1.1.0",
|
||||
"version": "1.1.2",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Reduces token consumption in long conversations while maintaining coherence through intelligent summarization and message compression.",
|
||||
"downloads": 125,
|
||||
"views": 1390,
|
||||
"downloads": 132,
|
||||
"views": 1475,
|
||||
"upvotes": 5,
|
||||
"saves": 9,
|
||||
"comments": 0,
|
||||
"created_at": "2025-11-08",
|
||||
"updated_at": "2026-01-07",
|
||||
"updated_at": "2026-01-11",
|
||||
"url": "https://openwebui.com/posts/async_context_compression_b1655bc8"
|
||||
},
|
||||
{
|
||||
@@ -67,8 +67,8 @@
|
||||
"version": "1.4.1",
|
||||
"author": "jeff",
|
||||
"description": "AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.",
|
||||
"downloads": 116,
|
||||
"views": 1355,
|
||||
"downloads": 129,
|
||||
"views": 1437,
|
||||
"upvotes": 7,
|
||||
"saves": 9,
|
||||
"comments": 2,
|
||||
@@ -83,8 +83,8 @@
|
||||
"version": "0.2.4",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Quickly generates beautiful flashcards from text, extracting key points and categories.",
|
||||
"downloads": 92,
|
||||
"views": 1735,
|
||||
"downloads": 99,
|
||||
"views": 1812,
|
||||
"upvotes": 8,
|
||||
"saves": 6,
|
||||
"comments": 2,
|
||||
@@ -99,8 +99,8 @@
|
||||
"version": "0.4.3",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Export current conversation from Markdown to Word (.docx) with Mermaid diagrams rendered client-side (Mermaid.js, SVG+PNG), LaTeX math, real hyperlinks, improved tables, syntax highlighting, and blockquote support.",
|
||||
"downloads": 87,
|
||||
"views": 800,
|
||||
"downloads": 89,
|
||||
"views": 834,
|
||||
"upvotes": 5,
|
||||
"saves": 8,
|
||||
"comments": 0,
|
||||
@@ -108,6 +108,22 @@
|
||||
"updated_at": "2026-01-07",
|
||||
"url": "https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315"
|
||||
},
|
||||
{
|
||||
"title": "导出为 Word (增强版)",
|
||||
"slug": "导出为_word_支持公式流程图表格和代码块_8a6306c0",
|
||||
"type": "action",
|
||||
"version": "0.4.3",
|
||||
"author": "Fu-Jie",
|
||||
"description": "将对话导出为 Word (.docx)，支持 Mermaid 图表 (客户端渲染 SVG+PNG)、LaTeX 数学公式、真实超链接、增强表格格式、代码高亮和引用块。",
|
||||
"downloads": 35,
|
||||
"views": 979,
|
||||
"upvotes": 8,
|
||||
"saves": 2,
|
||||
"comments": 1,
|
||||
"created_at": "2026-01-04",
|
||||
"updated_at": "2026-01-07",
|
||||
"url": "https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0"
|
||||
},
|
||||
{
|
||||
"title": "📊 智能信息图 (AntV Infographic)",
|
||||
"slug": "智能信息图_e04a48ff",
|
||||
@@ -116,7 +132,7 @@
|
||||
"author": "jeff",
|
||||
"description": "基于 AntV Infographic 的智能信息图生成插件。支持多种专业模板，自动图标匹配，并提供 SVG/PNG 下载功能。",
|
||||
"downloads": 35,
|
||||
"views": 480,
|
||||
"views": 492,
|
||||
"upvotes": 3,
|
||||
"saves": 0,
|
||||
"comments": 0,
|
||||
@@ -124,22 +140,6 @@
|
||||
"updated_at": "2026-01-07",
|
||||
"url": "https://openwebui.com/posts/智能信息图_e04a48ff"
|
||||
},
|
||||
{
|
||||
"title": "导出为 Word (增强版)",
|
||||
"slug": "导出为_word_支持公式流程图表格和代码块_8a6306c0",
|
||||
"type": "action",
|
||||
"version": "0.4.3",
|
||||
"author": "Fu-Jie",
|
||||
"description": "将对话导出为 Word (.docx)，支持 Mermaid 图表 (客户端渲染 SVG+PNG)、LaTeX 数学公式、真实超链接、增强表格格式、代码高亮和引用块。",
|
||||
"downloads": 31,
|
||||
"views": 929,
|
||||
"upvotes": 8,
|
||||
"saves": 2,
|
||||
"comments": 1,
|
||||
"created_at": "2026-01-04",
|
||||
"updated_at": "2026-01-07",
|
||||
"url": "https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0"
|
||||
},
|
||||
{
|
||||
"title": "Deep Dive",
|
||||
"slug": "deep_dive_c0b846e4",
|
||||
@@ -147,10 +147,10 @@
|
||||
"version": "1.0.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "A comprehensive thinking lens that dives deep into any content - from context to logic, insights, and action paths.",
|
||||
"downloads": 22,
|
||||
"views": 259,
|
||||
"downloads": 28,
|
||||
"views": 298,
|
||||
"upvotes": 3,
|
||||
"saves": 3,
|
||||
"saves": 4,
|
||||
"comments": 0,
|
||||
"created_at": "2026-01-08",
|
||||
"updated_at": "2026-01-08",
|
||||
@@ -163,8 +163,8 @@
|
||||
"version": "0.9.1",
|
||||
"author": "Fu-Jie",
|
||||
"description": "智能分析文本内容,生成交互式思维导图,帮助用户结构化和可视化知识。",
|
||||
"downloads": 17,
|
||||
"views": 304,
|
||||
"downloads": 18,
|
||||
"views": 320,
|
||||
"upvotes": 2,
|
||||
"saves": 1,
|
||||
"comments": 0,
|
||||
@@ -180,7 +180,7 @@
|
||||
"author": "Fu-Jie",
|
||||
"description": "快速将文本提炼为精美的学习记忆卡片，支持核心要点提取与分类。",
|
||||
"downloads": 12,
|
||||
"views": 345,
|
||||
"views": 353,
|
||||
"upvotes": 4,
|
||||
"saves": 1,
|
||||
"comments": 0,
|
||||
@@ -192,16 +192,16 @@
|
||||
"title": "异步上下文压缩",
|
||||
"slug": "异步上下文压缩_5c0617cb",
|
||||
"type": "filter",
|
||||
"version": "1.1.0",
|
||||
"version": "1.1.2",
|
||||
"author": "Fu-Jie",
|
||||
"description": "通过智能摘要和消息压缩，降低长对话的 token 消耗，同时保持对话连贯性。",
|
||||
"downloads": 6,
|
||||
"views": 153,
|
||||
"upvotes": 2,
|
||||
"downloads": 8,
|
||||
"views": 196,
|
||||
"upvotes": 4,
|
||||
"saves": 1,
|
||||
"comments": 0,
|
||||
"created_at": "2025-11-08",
|
||||
"updated_at": "2026-01-07",
|
||||
"updated_at": "2026-01-11",
|
||||
"url": "https://openwebui.com/posts/异步上下文压缩_5c0617cb"
|
||||
},
|
||||
{
|
||||
@@ -211,8 +211,8 @@
|
||||
"version": "1.0.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "全方位的思维透镜 —— 从背景全景到逻辑脉络，从深度洞察到行动路径。",
|
||||
"downloads": 1,
|
||||
"views": 86,
|
||||
"downloads": 3,
|
||||
"views": 108,
|
||||
"upvotes": 2,
|
||||
"saves": 1,
|
||||
"comments": 0,
|
||||
@@ -228,10 +228,10 @@
|
||||
"author": "",
|
||||
"description": "",
|
||||
"downloads": 0,
|
||||
"views": 19,
|
||||
"upvotes": 2,
|
||||
"saves": 0,
|
||||
"comments": 0,
|
||||
"views": 177,
|
||||
"upvotes": 5,
|
||||
"saves": 1,
|
||||
"comments": 2,
|
||||
"created_at": "2026-01-10",
|
||||
"updated_at": "2026-01-10",
|
||||
"url": "https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960"
|
||||
@@ -242,11 +242,11 @@
|
||||
"name": "Fu-Jie",
|
||||
"profile_url": "https://openwebui.com/u/Fu-Jie",
|
||||
"profile_image": "https://community.s3.openwebui.com/uploads/users/b15d1348-4347-42b4-b815-e053342d6cb0/profile_d9510745-4bd4-4f8f-a997-4a21847d9300.webp",
|
||||
"followers": 71,
|
||||
"followers": 78,
|
||||
"following": 2,
|
||||
"total_points": 72,
|
||||
"post_points": 62,
|
||||
"comment_points": 10,
|
||||
"contributions": 21
|
||||
"total_points": 79,
|
||||
"post_points": 67,
|
||||
"comment_points": 12,
|
||||
"contributions": 22
|
||||
}
|
||||
}
|
||||
@@ -1,39 +1,39 @@
|
||||
# 📊 OpenWebUI Community Stats Report
|
||||
|
||||
> 📅 Updated: 2026-01-10 17:08
|
||||
> 📅 Updated: 2026-01-11 19:06
|
||||
|
||||
## 📈 Overview
|
||||
|
||||
| Metric | Value |
|
||||
|------|------|
|
||||
| 📝 Total Posts | 14 |
|
||||
| ⬇️ Total Downloads | 1066 |
|
||||
| 👁️ Total Views | 11486 |
|
||||
| 👍 Total Upvotes | 64 |
|
||||
| 💾 Total Saves | 66 |
|
||||
| 💬 Total Comments | 15 |
|
||||
| ⬇️ Total Downloads | 1134 |
|
||||
| 👁️ Total Views | 12338 |
|
||||
| 👍 Total Upvotes | 69 |
|
||||
| 💾 Total Saves | 68 |
|
||||
| 💬 Total Comments | 17 |
|
||||
|
||||
## 📂 By Type
|
||||
|
||||
- **filter**: 2
|
||||
- **unknown**: 1
|
||||
- **action**: 11
|
||||
- **filter**: 2
|
||||
|
||||
## 📋 Posts List
|
||||
|
||||
| Rank | Title | Type | Version | Downloads | Views | Upvotes | Saves | Updated |
|
||||
|:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
|
||||
| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 341 | 3080 | 10 | 21 | 2026-01-07 |
|
||||
| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 181 | 551 | 3 | 4 | 2026-01-07 |
|
||||
| 3 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.0 | 125 | 1390 | 5 | 9 | 2026-01-07 |
|
||||
| 4 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.1 | 116 | 1355 | 7 | 9 | 2026-01-07 |
|
||||
| 5 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 92 | 1735 | 8 | 6 | 2026-01-07 |
|
||||
| 6 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 87 | 800 | 5 | 8 | 2026-01-07 |
|
||||
| 7 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.1 | 35 | 480 | 3 | 0 | 2026-01-07 |
|
||||
| 8 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 31 | 929 | 8 | 2 | 2026-01-07 |
|
||||
| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 22 | 259 | 3 | 3 | 2026-01-08 |
|
||||
| 10 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 17 | 304 | 2 | 1 | 2026-01-07 |
|
||||
| 11 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 345 | 4 | 1 | 2026-01-07 |
|
||||
| 12 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.0 | 6 | 153 | 2 | 1 | 2026-01-07 |
|
||||
| 13 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 1 | 86 | 2 | 1 | 2026-01-08 |
|
||||
| 14 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown | | 0 | 19 | 2 | 0 | 2026-01-10 |
|
||||
| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 363 | 3289 | 10 | 21 | 2026-01-07 |
|
||||
| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 183 | 568 | 3 | 4 | 2026-01-07 |
|
||||
| 3 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.2 | 132 | 1475 | 5 | 9 | 2026-01-11 |
|
||||
| 4 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.1 | 129 | 1437 | 7 | 9 | 2026-01-07 |
|
||||
| 5 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 99 | 1812 | 8 | 6 | 2026-01-07 |
|
||||
| 6 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 89 | 834 | 5 | 8 | 2026-01-07 |
|
||||
| 7 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 35 | 979 | 8 | 2 | 2026-01-07 |
|
||||
| 8 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.1 | 35 | 492 | 3 | 0 | 2026-01-07 |
|
||||
| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 28 | 298 | 3 | 4 | 2026-01-08 |
|
||||
| 10 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 18 | 320 | 2 | 1 | 2026-01-07 |
|
||||
| 11 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 353 | 4 | 1 | 2026-01-07 |
|
||||
| 12 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.2 | 8 | 196 | 4 | 1 | 2026-01-11 |
|
||||
| 13 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 3 | 108 | 2 | 1 | 2026-01-08 |
|
||||
| 14 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown | | 0 | 177 | 5 | 1 | 2026-01-10 |
|
||||
|
||||
@@ -1,39 +1,39 @@
|
||||
# 📊 OpenWebUI 社区统计报告
|
||||
|
||||
> 📅 更新时间: 2026-01-10 17:08
|
||||
> 📅 更新时间: 2026-01-11 19:06
|
||||
|
||||
## 📈 总览
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 📝 发布数量 | 14 |
|
||||
| ⬇️ 总下载量 | 1066 |
|
||||
| 👁️ 总浏览量 | 11486 |
|
||||
| 👍 总点赞数 | 64 |
|
||||
| 💾 总收藏数 | 66 |
|
||||
| 💬 总评论数 | 15 |
|
||||
| ⬇️ 总下载量 | 1134 |
|
||||
| 👁️ 总浏览量 | 12338 |
|
||||
| 👍 总点赞数 | 69 |
|
||||
| 💾 总收藏数 | 68 |
|
||||
| 💬 总评论数 | 17 |
|
||||
|
||||
## 📂 按类型分类
|
||||
|
||||
- **filter**: 2
|
||||
- **unknown**: 1
|
||||
- **action**: 11
|
||||
- **filter**: 2
|
||||
|
||||
## 📋 发布列表
|
||||
|
||||
| 排名 | 标题 | 类型 | 版本 | 下载 | 浏览 | 点赞 | 收藏 | 更新日期 |
|
||||
|:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
|
||||
| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 341 | 3080 | 10 | 21 | 2026-01-07 |
|
||||
| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 181 | 551 | 3 | 4 | 2026-01-07 |
|
||||
| 3 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.0 | 125 | 1390 | 5 | 9 | 2026-01-07 |
|
||||
| 4 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.1 | 116 | 1355 | 7 | 9 | 2026-01-07 |
|
||||
| 5 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 92 | 1735 | 8 | 6 | 2026-01-07 |
|
||||
| 6 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 87 | 800 | 5 | 8 | 2026-01-07 |
|
||||
| 7 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.1 | 35 | 480 | 3 | 0 | 2026-01-07 |
|
||||
| 8 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 31 | 929 | 8 | 2 | 2026-01-07 |
|
||||
| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 22 | 259 | 3 | 3 | 2026-01-08 |
|
||||
| 10 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 17 | 304 | 2 | 1 | 2026-01-07 |
|
||||
| 11 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 345 | 4 | 1 | 2026-01-07 |
|
||||
| 12 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.0 | 6 | 153 | 2 | 1 | 2026-01-07 |
|
||||
| 13 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 1 | 86 | 2 | 1 | 2026-01-08 |
|
||||
| 14 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown | | 0 | 19 | 2 | 0 | 2026-01-10 |
|
||||
| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 363 | 3289 | 10 | 21 | 2026-01-07 |
|
||||
| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 183 | 568 | 3 | 4 | 2026-01-07 |
|
||||
| 3 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.2 | 132 | 1475 | 5 | 9 | 2026-01-11 |
|
||||
| 4 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.1 | 129 | 1437 | 7 | 9 | 2026-01-07 |
|
||||
| 5 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 99 | 1812 | 8 | 6 | 2026-01-07 |
|
||||
| 6 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 89 | 834 | 5 | 8 | 2026-01-07 |
|
||||
| 7 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 35 | 979 | 8 | 2 | 2026-01-07 |
|
||||
| 8 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.1 | 35 | 492 | 3 | 0 | 2026-01-07 |
|
||||
| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 28 | 298 | 3 | 4 | 2026-01-08 |
|
||||
| 10 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 18 | 320 | 2 | 1 | 2026-01-07 |
|
||||
| 11 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 353 | 4 | 1 | 2026-01-07 |
|
||||
| 12 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.2 | 8 | 196 | 4 | 1 | 2026-01-11 |
|
||||
| 13 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 3 | 108 | 2 | 1 | 2026-01-08 |
|
||||
| 14 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown | | 0 | 177 | 5 | 1 | 2026-01-10 |
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
# Async Context Compression
|
||||
|
||||
<span class="category-badge filter">Filter</span>
|
||||
<span class="version-badge">v1.1.0</span>
|
||||
<span class="version-badge">v1.1.2</span>
|
||||
|
||||
Reduces token consumption in long conversations through intelligent summarization while maintaining conversational coherence.
|
||||
|
||||
@@ -29,6 +29,9 @@ This is especially useful for:
|
||||
- :material-clock-fast: **Async Processing**: Non-blocking background compression
|
||||
- :material-memory: **Context Preservation**: Keeps important information
|
||||
- :material-currency-usd-off: **Cost Reduction**: Minimize token usage
|
||||
- :material-console: **Frontend Debugging**: Debug logs in browser console
|
||||
- :material-alert-circle-check: **Enhanced Error Reporting**: Clear error status notifications
|
||||
- :material-check-all: **Open WebUI v0.7.x Compatibility**: Dynamic DB session handling
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
# Async Context Compression（异步上下文压缩）
|
||||
|
||||
<span class="category-badge filter">Filter</span>
|
||||
<span class="version-badge">v1.1.0</span>
|
||||
<span class="version-badge">v1.1.2</span>
|
||||
|
||||
通过智能摘要减少长对话的 token 消耗，同时保持对话连贯。
|
||||
|
||||
@@ -29,6 +29,9 @@ Async Context Compression 过滤器通过以下方式帮助管理长对话的 to
|
||||
- :material-clock-fast: **异步处理**：后台非阻塞压缩
|
||||
- :material-memory: **保留上下文**：尽量保留重要信息
|
||||
- :material-currency-usd-off: **降低成本**：减少 token 使用
|
||||
- :material-console: **前端调试**：支持浏览器控制台日志
|
||||
- :material-alert-circle-check: **增强错误报告**：清晰的错误状态通知
|
||||
- :material-check-all: **Open WebUI v0.7.x 兼容性**：动态数据库会话处理
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -22,7 +22,7 @@ Filters act as middleware in the message pipeline:
|
||||
|
||||
Reduces token consumption in long conversations through intelligent summarization while maintaining coherence.
|
||||
|
||||
**Version:** 1.1.0
|
||||
**Version:** 1.1.2
|
||||
|
||||
[:octicons-arrow-right-24: Documentation](async-context-compression.md)
|
||||
|
||||
@@ -46,6 +46,16 @@ Filters act as middleware in the message pipeline:
|
||||
|
||||
[:octicons-arrow-right-24: Documentation](gemini-manifold-companion.md)
|
||||
|
||||
- :material-format-paint:{ .lg .middle } **Markdown Normalizer**
|
||||
|
||||
---
|
||||
|
||||
Fixes common Markdown formatting issues in LLM outputs, including Mermaid syntax, code blocks, and LaTeX formulas.
|
||||
|
||||
**Version:** 1.0.1
|
||||
|
||||
[:octicons-arrow-right-24: Documentation](markdown_normalizer.md)
|
||||
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
@@ -46,6 +46,16 @@ Filter 充当消息管线中的中间件：
|
||||
|
||||
[:octicons-arrow-right-24: 查看文档](gemini-manifold-companion.md)
|
||||
|
||||
- :material-format-paint:{ .lg .middle } **Markdown Normalizer**
|
||||
|
||||
---
|
||||
|
||||
修复 LLM 输出中常见的 Markdown 格式问题，包括 Mermaid 语法、代码块和 LaTeX 公式。
|
||||
|
||||
**版本：** 1.0.1
|
||||
|
||||
[:octicons-arrow-right-24: 查看文档](markdown_normalizer.zh.md)
|
||||
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
46
docs/plugins/filters/markdown_normalizer.md
Normal file
46
docs/plugins/filters/markdown_normalizer.md
Normal file
@@ -0,0 +1,46 @@
|
||||
# Markdown Normalizer Filter
|
||||
|
||||
A production-grade content normalizer filter for Open WebUI that fixes common Markdown formatting issues in LLM outputs. It ensures that code blocks, LaTeX formulas, Mermaid diagrams, and other Markdown elements are rendered correctly.
|
||||
|
||||
## Features
|
||||
|
||||
* **Mermaid Syntax Fix**: Automatically fixes common Mermaid syntax errors, such as unquoted node labels (including multi-line labels and citations) and unclosed subgraphs, ensuring diagrams render correctly.
|
||||
* **Frontend Console Debugging**: Supports printing structured debug logs directly to the browser console (F12) for easier troubleshooting.
|
||||
* **Code Block Formatting**: Fixes broken code block prefixes, suffixes, and indentation.
|
||||
* **LaTeX Normalization**: Standardizes LaTeX formula delimiters (`\[` -> `$$`, `\(` -> `$`).
|
||||
* **Thought Tag Normalization**: Unifies thought tags (`<think>`, `<thinking>` -> `<thought>`).
|
||||
* **Escape Character Fix**: Cleans up excessive escape characters (`\\n`, `\\t`).
|
||||
* **List Formatting**: Ensures proper newlines in list items.
|
||||
* **Heading Fix**: Adds missing spaces in headings (`#Heading` -> `# Heading`).
|
||||
* **Table Fix**: Adds missing closing pipes in tables.
|
||||
* **XML Cleanup**: Removes leftover XML artifacts.
|
||||
|
||||
## Usage
|
||||
|
||||
1. Install the plugin in Open WebUI.
|
||||
2. Enable the filter globally or for specific models.
|
||||
3. Configure the enabled fixes in the **Valves** settings.
|
||||
4. (Optional) **Show Debug Log** is enabled by default in Valves. This prints structured logs to the browser console (F12).
|
||||
> [!WARNING]
|
||||
> As this is an initial version, some "negative fixes" might occur (e.g., breaking valid Markdown). If you encounter issues, please check the console logs, copy the "Original" vs "Normalized" content, and submit an issue.
|
||||
|
||||
## Configuration (Valves)
|
||||
|
||||
* `priority`: Filter priority (default: 50).
|
||||
* `enable_escape_fix`: Fix excessive escape characters.
|
||||
* `enable_thought_tag_fix`: Normalize thought tags.
|
||||
* `enable_code_block_fix`: Fix code block formatting.
|
||||
* `enable_latex_fix`: Normalize LaTeX formulas.
|
||||
* `enable_list_fix`: Fix list item newlines (Experimental).
|
||||
* `enable_unclosed_block_fix`: Auto-close unclosed code blocks.
|
||||
* `enable_fullwidth_symbol_fix`: Fix full-width symbols in code blocks.
|
||||
* `enable_mermaid_fix`: Fix Mermaid syntax errors.
|
||||
* `enable_heading_fix`: Fix missing space in headings.
|
||||
* `enable_table_fix`: Fix missing closing pipe in tables.
|
||||
* `enable_xml_tag_cleanup`: Cleanup leftover XML tags.
|
||||
* `show_status`: Show status notification when fixes are applied.
|
||||
* `show_debug_log`: Print debug logs to browser console.
|
||||
|
||||
## License
|
||||
|
||||
MIT
|
||||
46
docs/plugins/filters/markdown_normalizer.zh.md
Normal file
46
docs/plugins/filters/markdown_normalizer.zh.md
Normal file
@@ -0,0 +1,46 @@
|
||||
# Markdown 格式化过滤器 (Markdown Normalizer)
|
||||
|
||||
这是一个用于 Open WebUI 的生产级内容格式化过滤器，旨在修复 LLM 输出中常见的 Markdown 格式问题。它能确保代码块、LaTeX 公式、Mermaid 图表和其他 Markdown 元素被正确渲染。
|
||||
|
||||
## 功能特性
|
||||
|
||||
* **Mermaid 语法修复**: 自动修复常见的 Mermaid 语法错误，如未加引号的节点标签（支持多行标签和引用标记）和未闭合的子图 (Subgraph)，确保图表能正确渲染。
|
||||
* **前端控制台调试**: 支持将结构化的调试日志直接打印到浏览器控制台 (F12)，方便排查问题。
|
||||
* **代码块格式化**: 修复破损的代码块前缀、后缀和缩进问题。
|
||||
* **LaTeX 规范化**: 标准化 LaTeX 公式定界符 (`\[` -> `$$`, `\(` -> `$`)。
|
||||
* **思维标签规范化**: 统一思维链标签 (`<think>`, `<thinking>` -> `<thought>`)。
|
||||
* **转义字符修复**: 清理过度的转义字符 (`\\n`, `\\t`)。
|
||||
* **列表格式化**: 确保列表项有正确的换行。
|
||||
* **标题修复**: 修复标题中缺失的空格 (`#标题` -> `# 标题`)。
|
||||
* **表格修复**: 修复表格中缺失的闭合管道符。
|
||||
* **XML 清理**: 移除残留的 XML 标签。
|
||||
|
||||
## 使用方法
|
||||
|
||||
1. 在 Open WebUI 中安装此插件。
|
||||
2. 全局启用或为特定模型启用此过滤器。
|
||||
3. 在 **Valves** 设置中配置需要启用的修复项。
|
||||
4. (可选) **显示调试日志 (Show Debug Log)** 在 Valves 中默认开启。这会将结构化的日志打印到浏览器控制台 (F12)。
|
||||
> [!WARNING]
|
||||
> 由于这是初版，可能会出现“负向修复”的情况（例如破坏了原本正确的格式）。如果您遇到问题，请务必查看控制台日志，复制“原始 (Original)”与“规范化 (Normalized)”的内容对比，并提交 Issue 反馈。
|
||||
|
||||
## 配置项 (Valves)
|
||||
|
||||
* `priority`: 过滤器优先级 (默认: 50)。
|
||||
* `enable_escape_fix`: 修复过度的转义字符。
|
||||
* `enable_thought_tag_fix`: 规范化思维标签。
|
||||
* `enable_code_block_fix`: 修复代码块格式。
|
||||
* `enable_latex_fix`: 规范化 LaTeX 公式。
|
||||
* `enable_list_fix`: 修复列表项换行 (实验性)。
|
||||
* `enable_unclosed_block_fix`: 自动闭合未闭合的代码块。
|
||||
* `enable_fullwidth_symbol_fix`: 修复代码块中的全角符号。
|
||||
* `enable_mermaid_fix`: 修复 Mermaid 语法错误。
|
||||
* `enable_heading_fix`: 修复标题中缺失的空格。
|
||||
* `enable_table_fix`: 修复表格中缺失的闭合管道符。
|
||||
* `enable_xml_tag_cleanup`: 清理残留的 XML 标签。
|
||||
* `show_status`: 应用修复时显示状态通知。
|
||||
* `show_debug_log`: 在浏览器控制台打印调试日志。
|
||||
|
||||
## 许可证
|
||||
|
||||
MIT
|
||||
@@ -1,9 +1,9 @@
|
||||
"""
|
||||
title: 📊 Smart Infographic (AntV)
|
||||
author: jeff
|
||||
author: Fu-Jie
|
||||
author_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||
icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPgogIDxsaW5lIHgxPSIxMiIgeTE9IjIwIiB4Mj0iMTIiIHkyPSIxMCIgLz4KICA8bGluZSB4MT0iMTgiIHkxPSIyMCIgeDI9IjE4IiB5Mj0iNCIgLz4KICA8bGluZSB4MT0iNiIgeTE9IjIwIiB4Mj0iNiIgeTI9IjE2IiAvPgo8L3N2Zz4=
|
||||
version: 1.4.1
|
||||
version: 1.4.9
|
||||
openwebui_id: ad6f0c7f-c571-4dea-821d-8e71697274cf
|
||||
description: AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.
|
||||
"""
|
||||
@@ -47,24 +47,63 @@ Infographic syntax is a Mermaid-like declarative syntax for describing infograph
|
||||
|
||||
### Template Library & Selection Guide
|
||||
|
||||
Choose the most appropriate template based on the content structure:
|
||||
Choose the most appropriate template based on content structure.
|
||||
|
||||
#### 1. List & Hierarchy
|
||||
- **List**: `list-grid` (Grid Cards), `list-vertical` (Vertical List)
|
||||
- **Tree**: `tree-vertical` (Vertical Tree), `tree-horizontal` (Horizontal Tree)
|
||||
- **Mindmap**: `mindmap` (Mind Map)
|
||||
**Template Selection Guidelines (Official):**
|
||||
- Strict sequential order (processes/steps/trends) → `sequence-*` series
|
||||
- Timeline → `sequence-timeline-simple`
|
||||
- Roadmap → `sequence-roadmap-vertical-simple`
|
||||
- Zigzag steps → `sequence-horizontal-zigzag-underline-text`
|
||||
- Snake steps → `sequence-snake-steps-compact-card`
|
||||
- Listing viewpoints → `list-row-horizontal-icon-arrow` or `list-column-simple-vertical-arrow`
|
||||
- Comparative analysis (A vs B) → `compare-binary-horizontal-underline-text-vs`
|
||||
- SWOT analysis → `compare-swot`
|
||||
- Hierarchical structure (tree) → `hierarchy-tree-tech-style-capsule-item`
|
||||
- Data charts → `chart-*` series
|
||||
- Quadrant analysis → `quadrant-quarter-simple-card`
|
||||
- Grid lists (bullet points) → `list-grid-candy-card-lite`
|
||||
- Relationship display → `relation-circle-icon-badge`
|
||||
|
||||
#### 2. Sequence & Relationship
|
||||
- **Process**: `sequence-roadmap` (Roadmap), `sequence-zigzag` (Zigzag Process), `sequence-horizontal` (Horizontal Process)
|
||||
- **Relationship**: `relation-sankey` (Sankey Diagram), `relation-circle` (Circular Relationship)
|
||||
**Available Templates:**
|
||||
|
||||
#### 3. Comparison & Analysis
|
||||
- **Comparison**: `compare-binary` (Binary Comparison), `list-grid` (Multi-item Grid Comparison)
|
||||
- **Analysis**: `compare-swot` (SWOT Analysis), `quadrant-quarter` (Quadrant Chart)
|
||||
*Sequence (时序/流程):*
|
||||
`sequence-timeline-simple`, `sequence-roadmap-vertical-simple`, `sequence-horizontal-zigzag-underline-text`,
|
||||
`sequence-snake-steps-compact-card`, `sequence-zigzag-steps-underline-text`, `sequence-circular-simple`,
|
||||
`sequence-pyramid-simple`, `sequence-ascending-steps`
|
||||
|
||||
#### 4. Charts & Data
|
||||
- **Statistics**: `statistic-card` (Statistic Cards)
|
||||
- **Charts**: `chart-bar` (Bar Chart), `chart-column` (Column Chart), `chart-line` (Line Chart), `chart-pie` (Pie Chart), `chart-doughnut` (Doughnut Chart), `chart-area` (Area Chart)
|
||||
*List (列表):*
|
||||
`list-grid-candy-card-lite`, `list-grid-badge-card`, `list-row-horizontal-icon-arrow`,
|
||||
`list-column-simple-vertical-arrow`, `list-column-done-list`
|
||||
|
||||
*Compare (对比):*
|
||||
`compare-binary-horizontal-underline-text-vs`, `compare-binary-horizontal-simple-fold`,
|
||||
`compare-hierarchy-left-right-circle-node-pill-badge`, `compare-swot`
|
||||
|
||||
*Hierarchy (层级):*
|
||||
`hierarchy-tree-tech-style-capsule-item`, `hierarchy-tree-curved-line-rounded-rect-node`, `hierarchy-structure`
|
||||
|
||||
*Chart (图表):*
|
||||
`chart-column-simple`, `chart-bar-plain-text`, `chart-line-plain-text`,
|
||||
`chart-pie-plain-text`, `chart-pie-donut-plain-text`, `chart-wordcloud`
|
||||
|
||||
*Other:*
|
||||
`quadrant-quarter-simple-card`, `relation-circle-icon-badge`
|
||||
|
||||
**Text Capacity by Template Type:**
|
||||
- HIGH capacity (long descriptions OK): `list-column-*`, `compare-binary-*`, `sequence-timeline-*`
|
||||
- MEDIUM capacity: `list-row-*`, `sequence-roadmap-*`
|
||||
- LOW capacity (short text only): `list-grid-*`, `hierarchy-*`, `sequence-steps`
|
||||
|
||||
### Icon and Illustration Resources
|
||||
|
||||
**Icons (Iconify):**
|
||||
- Format: `<collection>/<icon-name>`, e.g., `mdi/rocket-launch`
|
||||
- Popular: `mdi/*` (Material Design), `fa/*` (Font Awesome), `bi/*` (Bootstrap)
|
||||
- Examples: `mdi/code-tags`, `mdi/chart-line`, `mdi/account-group`, `mdi/cloud`
|
||||
|
||||
**Illustrations (unDraw):**
|
||||
- Format: filename without .svg, e.g., `coding`, `team-work`
|
||||
- Use `illus` field instead of `icon`
|
||||
|
||||
### Data Structure Examples
|
||||
|
||||
@@ -211,6 +250,12 @@ data
|
||||
- `children`: Nested items (for trees, SWOT, etc.)
|
||||
- `illus`: Illustration icon (specific to some templates like Quadrant)
|
||||
|
||||
### Content Refinement Principles
|
||||
1. **Brevity is King**: Infographics are visual. Keep text to a minimum.
|
||||
2. **Title Limit**: Keep `label` (item titles) under 15 characters (approx. 10 Chinese characters).
|
||||
3. **Description Limit**: Keep `desc` (item descriptions) under 40 characters (approx. 20 Chinese characters / 2 lines).
|
||||
4. **Impact**: Use strong verbs and nouns. Avoid filler words.
|
||||
|
||||
## Output Requirements
|
||||
1. **Language**: Output content in the user's language.
|
||||
2. **Format**: Wrap output in ```infographic ... ```.
|
||||
@@ -233,9 +278,18 @@ User Language: {user_language}
|
||||
|
||||
Please select the most appropriate infographic template based on text characteristics and output standard infographic syntax. Pay attention to correct indentation format (two spaces).
|
||||
|
||||
**Important Note:**
|
||||
- If using `list-grid` format, ensure each card's `desc` description is limited to **maximum 30 Chinese characters** (or **approximately 60 English characters**) to maintain visual consistency with all descriptions fitting in 2 lines.
|
||||
- Descriptions should be concise and highlight key points.
|
||||
**Visual Optimization Guide (MUST FOLLOW):**
|
||||
- **Point-based Generation:** Infographics are not articles. Extract KEYWORDS ONLY, avoid complete sentences.
|
||||
- **Main Title (`data.title`):** **MUST** be ≤ **15 Chinese characters** (or ≤30 English characters). Trim version numbers or details if needed.
|
||||
- **Subtitle (`data.desc`):** **MUST** be ≤ **20 Chinese characters** (or ≤40 English characters).
|
||||
- **Card Title (`label`):** **MUST** be ≤ **6 Chinese characters** (or ≤12 English characters). Use 2-4 keywords only.
|
||||
- **Card Description (`desc`):** **MUST** be ≤ **12 Chinese characters** (or ≤24 English characters). Use short phrases.
|
||||
|
||||
⚠️ **CRITICAL**: If the original text is too long, you MUST rephrase and shorten it. Do NOT simply truncate with "...".
|
||||
Examples:
|
||||
- ❌ "多步任务与工具协作能力" → ✅ "多步任务协作"
|
||||
- ❌ "Open WebUI v0.7.x 重大版本更新" → ✅ "v0.7 核心更新"
|
||||
- ❌ "自动查找历史聊天记录" → ✅ "历史检索"
|
||||
"""
|
||||
|
||||
# =================================================================
|
||||
@@ -340,8 +394,9 @@ CSS_TEMPLATE_INFOGRAPHIC = """
|
||||
.infographic-container-wrapper .infographic-render-container {
|
||||
border-radius: 8px;
|
||||
padding: 16px;
|
||||
min-height: 600px;
|
||||
background: #fff;
|
||||
overflow: visible; /* Ensure content is visible */
|
||||
overflow: visible;
|
||||
transition: height 0.3s ease;
|
||||
}
|
||||
.infographic-render-container svg text {
|
||||
@@ -349,35 +404,59 @@ CSS_TEMPLATE_INFOGRAPHIC = """
|
||||
}
|
||||
.infographic-render-container svg foreignObject {
|
||||
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", sans-serif !important;
|
||||
line-height: 1.4 !important;
|
||||
line-height: 1.3 !important;
|
||||
overflow: visible !important;
|
||||
}
|
||||
/* Main title styles */
|
||||
.infographic-render-container svg foreignObject[data-element-type="title"] > * {
|
||||
font-size: 1.5em !important;
|
||||
font-weight: bold !important;
|
||||
line-height: 1.4 !important;
|
||||
white-space: nowrap !important;
|
||||
font-size: 1.3em !important;
|
||||
font-weight: 800 !important;
|
||||
line-height: 1.3 !important;
|
||||
white-space: normal !important;
|
||||
word-break: break-word !important;
|
||||
display: -webkit-box !important;
|
||||
-webkit-line-clamp: 2 !important;
|
||||
-webkit-box-orient: vertical !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
text-align: center !important;
|
||||
}
|
||||
/* Page subtitle and card title styles */
|
||||
.infographic-render-container svg foreignObject[data-element-type="desc"] > *,
|
||||
.infographic-render-container svg foreignObject[data-element-type="item-label"] > * {
|
||||
font-size: 0.6em !important;
|
||||
line-height: 1.4 !important;
|
||||
white-space: nowrap !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
}
|
||||
/* Card title with extra bottom spacing */
|
||||
.infographic-render-container svg foreignObject[data-element-type="item-label"] > * {
|
||||
padding-bottom: 8px !important;
|
||||
/* Page subtitle styles */
|
||||
.infographic-render-container svg foreignObject[data-element-type="desc"] > * {
|
||||
font-size: 0.85em !important;
|
||||
line-height: 1.3 !important;
|
||||
white-space: normal !important;
|
||||
word-break: break-word !important;
|
||||
overflow: visible !important;
|
||||
text-align: center !important;
|
||||
display: block !important;
|
||||
color: var(--ig-muted-text-color) !important;
|
||||
}
|
||||
/* Card description text keeps normal wrapping */
|
||||
/* Card title styles */
|
||||
.infographic-render-container svg foreignObject[data-element-type="item-label"] > * {
|
||||
font-size: 0.9em !important;
|
||||
font-weight: 600 !important;
|
||||
line-height: 1.3 !important;
|
||||
white-space: normal !important;
|
||||
word-break: break-word !important;
|
||||
display: -webkit-box !important;
|
||||
-webkit-line-clamp: 2 !important;
|
||||
-webkit-box-orient: vertical !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
padding-bottom: 2px !important;
|
||||
}
|
||||
/* Card description text */
|
||||
.infographic-render-container svg foreignObject[data-element-type="item-desc"] > * {
|
||||
font-size: 0.8em !important;
|
||||
line-height: 1.4 !important;
|
||||
white-space: normal !important;
|
||||
word-break: break-word !important;
|
||||
display: -webkit-box !important;
|
||||
-webkit-line-clamp: 2 !important;
|
||||
-webkit-box-orient: vertical !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
}
|
||||
.infographic-container-wrapper .download-area {
|
||||
text-align: center;
|
||||
@@ -533,37 +612,41 @@ SCRIPT_TEMPLATE_INFOGRAPHIC = """
|
||||
}}
|
||||
}}
|
||||
|
||||
// 2. Template Mapping Configuration
|
||||
// 2. Template Mapping Configuration (Official AntV Structure IDs)
|
||||
const TEMPLATE_MAPPING = {{
|
||||
// List & Hierarchy
|
||||
// List & Hierarchy - map short names to full template names
|
||||
'list-grid': 'list-grid-compact-card',
|
||||
'list-column': 'list-column-simple-vertical-arrow',
|
||||
'list-row': 'list-row-simple-horizontal-arrow',
|
||||
'hierarchy-tree': 'hierarchy-tree-tech-style-capsule-item',
|
||||
|
||||
// Sequence & Timeline
|
||||
'sequence-roadmap-vertical': 'sequence-roadmap-vertical-simple',
|
||||
'sequence-timeline': 'sequence-timeline-simple',
|
||||
'sequence-steps': 'sequence-steps-simple',
|
||||
'sequence-horizontal-zigzag': 'sequence-horizontal-zigzag-simple',
|
||||
|
||||
// Comparison
|
||||
'compare-binary-horizontal': 'compare-binary-horizontal-simple-vs',
|
||||
'compare-hierarchy-row': 'compare-hierarchy-row-simple',
|
||||
|
||||
// Charts
|
||||
'chart-column': 'chart-column-simple',
|
||||
'quadrant': 'quadrant-quarter-simple-card',
|
||||
|
||||
// Legacy mappings for backward compatibility
|
||||
'list-vertical': 'list-column-simple-vertical-arrow',
|
||||
'tree-vertical': 'hierarchy-tree-tech-style-capsule-item',
|
||||
'tree-horizontal': 'hierarchy-tree-lr-tech-style-capsule-item',
|
||||
'mindmap': 'hierarchy-mindmap-branch-gradient-capsule-item',
|
||||
|
||||
// Sequence & Relationship
|
||||
'sequence-roadmap': 'sequence-roadmap-vertical-simple',
|
||||
'sequence-zigzag': 'sequence-horizontal-zigzag-simple',
|
||||
'sequence-horizontal': 'sequence-horizontal-zigzag-simple',
|
||||
'relation-sankey': 'relation-sankey-simple',
|
||||
'relation-circle': 'relation-circle-icon-badge',
|
||||
|
||||
// Comparison & Analysis
|
||||
'compare-binary': 'compare-binary-horizontal-simple-vs',
|
||||
'compare-swot': 'compare-swot',
|
||||
'quadrant-quarter': 'quadrant-quarter-simple-card',
|
||||
|
||||
// Charts & Data
|
||||
'statistic-card': 'list-grid-compact-card',
|
||||
'chart-bar': 'chart-bar-plain-text',
|
||||
'chart-column': 'chart-column-simple',
|
||||
'chart-line': 'chart-line-plain-text',
|
||||
'chart-area': 'chart-area-simple',
|
||||
'chart-pie': 'chart-pie-plain-text',
|
||||
'chart-doughnut': 'chart-pie-donut-plain-text'
|
||||
}};
|
||||
|
||||
|
||||
// 3. Apply Mapping Strategy
|
||||
for (const [key, value] of Object.entries(TEMPLATE_MAPPING)) {{
|
||||
const regex = new RegExp(`infographic\\\\s+${{key}}(?=\\\\s|$)`, 'i');
|
||||
@@ -629,10 +712,48 @@ SCRIPT_TEMPLATE_INFOGRAPHIC = """
|
||||
containerEl.dataset.infographicRendered = 'true';
|
||||
console.log('[Infographic] Rendering complete');
|
||||
|
||||
// Auto-adjust height
|
||||
// Auto-adjust height and tag elements
|
||||
setTimeout(() => {
|
||||
const svg = containerEl.querySelector('svg');
|
||||
if (svg) {
|
||||
// 1. Tag elements for CSS styling
|
||||
const fos = Array.from(svg.querySelectorAll('foreignObject'));
|
||||
let titleFound = false;
|
||||
let descFound = false;
|
||||
|
||||
fos.forEach((fo) => {
|
||||
const text = fo.textContent.trim();
|
||||
if (!text || fo.querySelector('i') || (fo.querySelector('svg') && fo.querySelectorAll('*').length < 5)) {
|
||||
fo.setAttribute('data-element-type', 'icon');
|
||||
return;
|
||||
}
|
||||
|
||||
// Dynamically increase height and width to accommodate wrapped text
|
||||
const currentHeight = parseInt(fo.getAttribute('height') || '0');
|
||||
if (currentHeight > 0 && currentHeight < 200) {
|
||||
fo.setAttribute('height', Math.round(currentHeight * 1.8).toString());
|
||||
}
|
||||
const currentWidth = parseInt(fo.getAttribute('width') || '0');
|
||||
if (currentWidth > 0 && currentWidth < 300) {
|
||||
fo.setAttribute('width', Math.max(Math.round(currentWidth * 1.2), 180).toString());
|
||||
}
|
||||
|
||||
if (!titleFound) {
|
||||
fo.setAttribute('data-element-type', 'title');
|
||||
titleFound = true;
|
||||
} else if (!descFound) {
|
||||
fo.setAttribute('data-element-type', 'desc');
|
||||
descFound = true;
|
||||
} else {
|
||||
if (fo.querySelector('strong') || fo.style.fontWeight === 'bold' || text.length < 15) {
|
||||
fo.setAttribute('data-element-type', 'item-label');
|
||||
} else {
|
||||
fo.setAttribute('data-element-type', 'item-desc');
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// 2. Adjust height
|
||||
const bbox = svg.getBoundingClientRect();
|
||||
let contentHeight = bbox.height;
|
||||
if (svg.viewBox && svg.viewBox.baseVal && svg.viewBox.baseVal.height) {
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
"""
|
||||
title: 📊 智能信息图 (AntV Infographic)
|
||||
author: jeff
|
||||
author: Fu-Jie
|
||||
author_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||
icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPgogIDxsaW5lIHgxPSIxMiIgeTE9IjIwIiB4Mj0iMTIiIHkyPSIxMCIgLz4KICA8bGluZSB4MT0iMTgiIHkxPSIyMCIgeDI9IjE4IiB5Mj0iNCIgLz4KICA8bGluZSB4MT0iNiIgeTE9IjIwIiB4Mj0iNiIgeTI9IjE2IiAvPgo8L3N2Zz4=
|
||||
version: 1.4.1
|
||||
version: 1.4.9
|
||||
openwebui_id: e04a48ff-23ee-4a41-8ea7-66c19524e7c8
|
||||
description: 基于 AntV Infographic 的智能信息图生成插件。支持多种专业模板，自动图标匹配，并提供 SVG/PNG 下载功能。
|
||||
"""
|
||||
@@ -45,32 +45,61 @@ Infographic syntax is a Mermaid-like declarative syntax for describing infograph
|
||||
- ❌ Wrong: `children:` `items:` `data:` (with colons)
|
||||
- ✅ Correct: `children` `items` `data` (without colons)
|
||||
|
||||
### Template Library & Selection Guide
|
||||
### 模板库与选择指南
|
||||
|
||||
#### 1. List & Hierarchy (Text-heavy)
|
||||
- **Linear & Short (Steps/Phases)** -> `list-row-horizontal-icon-arrow`
|
||||
- **Linear & Long (Rankings/Details)** -> `list-vertical`
|
||||
- **Grouped / Parallel (Features/Catalog)** -> `list-grid`
|
||||
- **Hierarchical (Org Chart/Taxonomy)** -> `tree-vertical` or `tree-horizontal`
|
||||
- **Central Idea (Brainstorming)** -> `mindmap`
|
||||
根据内容结构选择最合适的模板。
|
||||
|
||||
#### 2. Sequence & Relationship (Flow-based)
|
||||
- **Time-based (History/Plan)** -> `sequence-roadmap-vertical-simple`
|
||||
- **Process Flow (Complex)** -> `sequence-zigzag` or `sequence-horizontal`
|
||||
- **Resource Flow / Distribution** -> `relation-sankey`
|
||||
- **Circular Relationship** -> `relation-circle`
|
||||
**模板选择指南 (官方):**
|
||||
- 严格时序 (流程/步骤/趋势) → `sequence-*` 系列
|
||||
- 时间线 → `sequence-timeline-simple`
|
||||
- 路线图 → `sequence-roadmap-vertical-simple`
|
||||
- 折线步骤 → `sequence-horizontal-zigzag-underline-text`
|
||||
- 蛇形步骤 → `sequence-snake-steps-compact-card`
|
||||
- 列举要点 → `list-row-horizontal-icon-arrow` 或 `list-column-simple-vertical-arrow`
|
||||
- 对比分析 (A vs B) → `compare-binary-horizontal-underline-text-vs`
|
||||
- SWOT 分析 → `compare-swot`
|
||||
- 层级结构 (树状图) → `hierarchy-tree-tech-style-capsule-item`
|
||||
- 数据图表 → `chart-*` 系列
|
||||
- 象限分析 → `quadrant-quarter-simple-card`
|
||||
- 网格列表 → `list-grid-candy-card-lite`
|
||||
- 关系展示 → `relation-circle-icon-badge`
|
||||
|
||||
#### 3. Comparison & Analysis
|
||||
- **Binary Comparison (A vs B)** -> `compare-binary`
|
||||
- **SWOT Analysis** -> `compare-swot`
|
||||
- **Quadrant Analysis (Importance vs Urgency)** -> `quadrant-quarter`
|
||||
- **Multi-item Grid Comparison** -> `list-grid` (use for comparing multiple items)
|
||||
**可用模板:**
|
||||
|
||||
#### 4. Charts & Data (Metric-heavy)
|
||||
- **Key Metrics / Data Cards** -> `statistic-card`
|
||||
- **Distribution / Comparison** -> `chart-bar` or `chart-column`
|
||||
- **Trend over Time** -> `chart-line` or `chart-area`
|
||||
- **Proportion / Part-to-Whole** -> `chart-pie` or `chart-doughnut`
|
||||
*Sequence (时序/流程):*
|
||||
`sequence-timeline-simple`, `sequence-roadmap-vertical-simple`, `sequence-horizontal-zigzag-underline-text`,
|
||||
`sequence-snake-steps-compact-card`, `sequence-zigzag-steps-underline-text`, `sequence-circular-simple`
|
||||
|
||||
*List (列表):*
|
||||
`list-grid-candy-card-lite`, `list-grid-badge-card`, `list-row-horizontal-icon-arrow`,
|
||||
`list-column-simple-vertical-arrow`, `list-column-done-list`
|
||||
|
||||
*Compare (对比):*
|
||||
`compare-binary-horizontal-underline-text-vs`, `compare-swot`
|
||||
|
||||
*Hierarchy (层级):*
|
||||
`hierarchy-tree-tech-style-capsule-item`, `hierarchy-structure`
|
||||
|
||||
*Chart (图表):*
|
||||
`chart-column-simple`, `chart-bar-plain-text`, `chart-pie-plain-text`, `chart-wordcloud`
|
||||
|
||||
*Other:*
|
||||
`quadrant-quarter-simple-card`, `relation-circle-icon-badge`
|
||||
|
||||
**按容量分类:**
|
||||
- 高容量 (长描述): `list-column-*`, `compare-binary-*`, `sequence-timeline-*`
|
||||
- 中容量: `list-row-*`, `sequence-roadmap-*`
|
||||
- 低容量 (短文本): `list-grid-*`, `hierarchy-*`
|
||||
|
||||
### 图标和插图资源
|
||||
|
||||
**图标 (Iconify):**
|
||||
- 格式: `<集合>/<图标名>`, 如 `mdi/rocket-launch`
|
||||
- 常用: `mdi/*`, `fa/*`, `bi/*`
|
||||
|
||||
**插图 (unDraw):**
|
||||
- 格式: 文件名 (不含 .svg), 如 `coding`, `team-work`
|
||||
- 使用 `illus` 字段
|
||||
|
||||
### Infographic Syntax Guide
|
||||
|
||||
@@ -203,6 +232,12 @@ data
|
||||
desc Plan for next sprint
|
||||
illus mdi/star
|
||||
|
||||
### Content Refinement Principles
|
||||
1. **Brevity is King**: Infographics are visual. Keep text to a minimum.
|
||||
2. **Title Limit**: Keep `label` (item titles) under 15 characters.
|
||||
3. **Description Limit**: Keep `desc` (item descriptions) under 25 characters (approx. 2 lines).
|
||||
4. **Impact**: Use strong verbs and nouns. Avoid filler words.
|
||||
|
||||
### Output Rules
|
||||
1. **Strict Syntax**: Follow the indentation and formatting rules exactly.
|
||||
2. **No Explanations**: Output ONLY the syntax code block.
|
||||
@@ -224,9 +259,11 @@ USER_PROMPT_GENERATE_INFOGRAPHIC = """
|
||||
|
||||
请根据文本特点选择最合适的信息图模板，并输出规范的 infographic 语法。注意保持正确的缩进格式（两个空格）。
|
||||
|
||||
**重要提示：**
|
||||
- 如果使用 `list-grid` 格式，请确保每个卡片的 `desc` 描述文字控制在 **30个汉字**（或约60个英文字符）**以内**，以保证所有卡片描述都只占用2行，维持视觉一致性。
|
||||
- 描述应简洁精炼，突出核心要点。
|
||||
**视觉优化指南：**
|
||||
- **要点化生成：** 信息图不是文章。请将内容转化为“关键词+短语”的形式，严禁生成长难句。
|
||||
- **标题限制：** 每个卡片的 `label`（标题）请控制在 **8个汉字**以内。
|
||||
- **描述限制：** 每个卡片的 `desc`（描述）请控制在 **15个汉字**以内，确保即使在小屏幕上也能完整显示。
|
||||
- **结构化思维：** 优先使用并列、递进或对比结构，使信息一目了然。
|
||||
"""
|
||||
|
||||
# =================================================================
|
||||
@@ -333,7 +370,7 @@ CSS_TEMPLATE_INFOGRAPHIC = """
|
||||
padding: 16px;
|
||||
min-height: 600px;
|
||||
background: #fff;
|
||||
overflow: visible; /* Ensure content is visible */
|
||||
overflow: visible;
|
||||
transition: height 0.3s ease;
|
||||
}
|
||||
.infographic-render-container svg text {
|
||||
@@ -341,35 +378,58 @@ CSS_TEMPLATE_INFOGRAPHIC = """
|
||||
}
|
||||
.infographic-render-container svg foreignObject {
|
||||
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", sans-serif !important;
|
||||
line-height: 1.4 !important;
|
||||
line-height: 1.3 !important;
|
||||
overflow: visible !important;
|
||||
}
|
||||
/* 主标题样式 */
|
||||
.infographic-render-container svg foreignObject[data-element-type="title"] > * {
|
||||
font-size: 1.5em !important;
|
||||
font-weight: bold !important;
|
||||
line-height: 1.4 !important;
|
||||
white-space: nowrap !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
}
|
||||
/* 页面副标题和卡片标题样式 */
|
||||
.infographic-render-container svg foreignObject[data-element-type="desc"] > *,
|
||||
.infographic-render-container svg foreignObject[data-element-type="item-label"] > * {
|
||||
font-size: 0.6em !important;
|
||||
line-height: 1.4 !important;
|
||||
white-space: nowrap !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
}
|
||||
/* 卡片标题额外增加底部间距 */
|
||||
.infographic-render-container svg foreignObject[data-element-type="item-label"] > * {
|
||||
padding-bottom: 8px !important;
|
||||
display: block !important;
|
||||
}
|
||||
/* 卡片描述文字保持正常换行 */
|
||||
.infographic-render-container svg foreignObject[data-element-type="item-desc"] > * {
|
||||
line-height: 1.4 !important;
|
||||
font-size: 1.3em !important;
|
||||
font-weight: 800 !important;
|
||||
line-height: 1.3 !important;
|
||||
white-space: normal !important;
|
||||
word-break: break-word !important;
|
||||
display: -webkit-box !important;
|
||||
-webkit-line-clamp: 2 !important;
|
||||
-webkit-box-orient: vertical !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
text-align: center !important;
|
||||
}
|
||||
/* 页面副标题样式 */
|
||||
.infographic-render-container svg foreignObject[data-element-type="desc"] > * {
|
||||
font-size: 0.85em !important;
|
||||
line-height: 1.3 !important;
|
||||
white-space: nowrap !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
text-align: center !important;
|
||||
display: block !important;
|
||||
color: var(--ig-muted-text-color) !important;
|
||||
}
|
||||
/* 卡片标题样式 */
|
||||
.infographic-render-container svg foreignObject[data-element-type="item-label"] > * {
|
||||
font-size: 0.9em !important;
|
||||
font-weight: 600 !important;
|
||||
line-height: 1.3 !important;
|
||||
white-space: normal !important;
|
||||
word-break: break-word !important;
|
||||
display: -webkit-box !important;
|
||||
-webkit-line-clamp: 2 !important;
|
||||
-webkit-box-orient: vertical !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
padding-bottom: 2px !important;
|
||||
}
|
||||
/* 卡片描述文字 */
|
||||
.infographic-render-container svg foreignObject[data-element-type="item-desc"] > * {
|
||||
font-size: 0.82em !important;
|
||||
line-height: 1.3 !important;
|
||||
white-space: normal !important;
|
||||
display: -webkit-box !important;
|
||||
-webkit-line-clamp: 2 !important;
|
||||
-webkit-box-orient: vertical !important;
|
||||
overflow: hidden !important;
|
||||
text-overflow: ellipsis !important;
|
||||
}
|
||||
.infographic-container-wrapper .download-area {
|
||||
text-align: center;
|
||||
@@ -537,34 +597,36 @@ SCRIPT_TEMPLATE_INFOGRAPHIC = """
|
||||
}
|
||||
}
|
||||
|
||||
// 2. 模板映射配置
|
||||
// 2. 模板映射配置
|
||||
// 2. 模板映射配置 (官方 AntV 结构 ID)
|
||||
const TEMPLATE_MAPPING = {
|
||||
// 列表与层级
|
||||
// 列表与层级 - 短名称映射到完整模板名
|
||||
'list-grid': 'list-grid-compact-card',
|
||||
'list-column': 'list-column-simple-vertical-arrow',
|
||||
'list-row': 'list-row-simple-horizontal-arrow',
|
||||
'hierarchy-tree': 'hierarchy-tree-tech-style-capsule-item',
|
||||
|
||||
// 时序与时间线
|
||||
'sequence-roadmap-vertical': 'sequence-roadmap-vertical-simple',
|
||||
'sequence-timeline': 'sequence-timeline-simple',
|
||||
'sequence-steps': 'sequence-steps-simple',
|
||||
'sequence-horizontal-zigzag': 'sequence-horizontal-zigzag-simple',
|
||||
|
||||
// 对比
|
||||
'compare-binary-horizontal': 'compare-binary-horizontal-simple-vs',
|
||||
'compare-hierarchy-row': 'compare-hierarchy-row-simple',
|
||||
|
||||
// 图表
|
||||
'chart-column': 'chart-column-simple',
|
||||
'quadrant': 'quadrant-quarter-simple-card',
|
||||
|
||||
// 向后兼容的旧映射
|
||||
'list-vertical': 'list-column-simple-vertical-arrow',
|
||||
'tree-vertical': 'hierarchy-tree-tech-style-capsule-item',
|
||||
'tree-horizontal': 'hierarchy-tree-lr-tech-style-capsule-item',
|
||||
'mindmap': 'hierarchy-mindmap-branch-gradient-capsule-item',
|
||||
|
||||
// 顺序与关系
|
||||
'sequence-roadmap': 'sequence-roadmap-vertical-simple',
|
||||
'sequence-zigzag': 'sequence-horizontal-zigzag-simple',
|
||||
'sequence-horizontal': 'sequence-horizontal-zigzag-simple',
|
||||
'relation-sankey': 'relation-sankey-simple', // 暂无直接对应，保留原值或需移除
|
||||
'relation-circle': 'relation-circle-icon-badge',
|
||||
|
||||
// 对比与分析
|
||||
'compare-binary': 'compare-binary-horizontal-simple-vs',
|
||||
'compare-swot': 'compare-swot',
|
||||
'quadrant-quarter': 'quadrant-quarter-simple-card',
|
||||
|
||||
// 图表与数据
|
||||
'statistic-card': 'list-grid-compact-card',
|
||||
'chart-bar': 'chart-bar-plain-text',
|
||||
'chart-column': 'chart-column-simple',
|
||||
'chart-line': 'chart-line-plain-text',
|
||||
'chart-area': 'chart-area-simple', // 暂无直接对应
|
||||
'chart-pie': 'chart-pie-plain-text',
|
||||
'chart-doughnut': 'chart-pie-donut-plain-text'
|
||||
};
|
||||
@@ -657,10 +719,48 @@ SCRIPT_TEMPLATE_INFOGRAPHIC = """
|
||||
containerEl.dataset.infographicRendered = 'true';
|
||||
console.log('[Infographic] 渲染完成');
|
||||
|
||||
// 自动调整高度
|
||||
// 自动调整高度与元素标记
|
||||
setTimeout(() => {
|
||||
const svg = containerEl.querySelector('svg');
|
||||
if (svg) {
|
||||
// 1. 标记元素以便 CSS 应用样式
|
||||
const fos = Array.from(svg.querySelectorAll('foreignObject'));
|
||||
let titleFound = false;
|
||||
let descFound = false;
|
||||
|
||||
fos.forEach((fo) => {
|
||||
const text = fo.textContent.trim();
|
||||
if (!text || fo.querySelector('i') || (fo.querySelector('svg') && fo.querySelectorAll('*').length < 5)) {
|
||||
fo.setAttribute('data-element-type', 'icon');
|
||||
return;
|
||||
}
|
||||
|
||||
// 动态增加高度和宽度，容纳换行后的文字
|
||||
const currentHeight = parseInt(fo.getAttribute('height') || '0');
|
||||
if (currentHeight > 0 && currentHeight < 200) {
|
||||
fo.setAttribute('height', Math.round(currentHeight * 1.8).toString());
|
||||
}
|
||||
const currentWidth = parseInt(fo.getAttribute('width') || '0');
|
||||
if (currentWidth > 0 && currentWidth < 300) {
|
||||
fo.setAttribute('width', Math.max(Math.round(currentWidth * 1.2), 180).toString());
|
||||
}
|
||||
|
||||
if (!titleFound) {
|
||||
fo.setAttribute('data-element-type', 'title');
|
||||
titleFound = true;
|
||||
} else if (!descFound) {
|
||||
fo.setAttribute('data-element-type', 'desc');
|
||||
descFound = true;
|
||||
} else {
|
||||
if (fo.querySelector('strong') || fo.style.fontWeight === 'bold' || text.length < 15) {
|
||||
fo.setAttribute('data-element-type', 'item-label');
|
||||
} else {
|
||||
fo.setAttribute('data-element-type', 'item-desc');
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// 2. 调整高度
|
||||
const bbox = svg.getBoundingClientRect();
|
||||
let contentHeight = bbox.height;
|
||||
if (svg.viewBox && svg.viewBox.baseVal && svg.viewBox.baseVal.height) {
|
||||
|
||||
@@ -1,9 +1,20 @@
|
||||
# Async Context Compression Filter
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.1.0 | **License:** MIT
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.1.2 | **License:** MIT
|
||||
|
||||
This filter reduces token consumption in long conversations through intelligent summarization and message compression while keeping conversations coherent.
|
||||
|
||||
## What's new in 1.1.2
|
||||
|
||||
- **Open WebUI v0.7.x Compatibility**: Resolved a critical database session binding error affecting Open WebUI v0.7.x users. The plugin now dynamically discovers the database engine and session context, ensuring compatibility across versions.
|
||||
- **Enhanced Error Reporting**: Errors during background summary generation are now reported via both the status bar and browser console.
|
||||
- **Robust Model Handling**: Improved handling of missing or invalid model IDs to prevent crashes.
|
||||
|
||||
## What's new in 1.1.1
|
||||
|
||||
- **Frontend Debugging**: Added `show_debug_log` option to print debug info to the browser console (F12).
|
||||
- **Optimized Compression**: Improved token calculation logic to prevent aggressive truncation of history, ensuring more context is retained.
|
||||
|
||||
## What's new in 1.1.0
|
||||
|
||||
- Reuses Open WebUI's shared database connection by default (no custom engine or env vars required).
|
||||
@@ -54,6 +65,7 @@ It is recommended to keep this filter early in the chain so it runs before filte
|
||||
| `summary_temperature` | `0.3` | Randomness for summary generation. Lower is more deterministic. |
|
||||
| `model_thresholds` | `{}` | Per-model overrides for `compression_threshold_tokens` and `max_context_tokens` (useful for mixed models). |
|
||||
| `debug_mode` | `true` | Log verbose debug info. Set to `false` in production. |
|
||||
| `show_debug_log` | `false` | Print debug logs to browser console (F12). Useful for frontend debugging. |
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -1,11 +1,22 @@
|
||||
# 异步上下文压缩过滤器
|
||||
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie) | **版本:** 1.2.0 | **许可证:** MIT
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie) | **版本:** 1.1.2 | **许可证:** MIT
|
||||
|
||||
> **重要提示**：为了确保所有过滤器的可维护性和易用性，每个过滤器都应附带清晰、完整的文档，以确保其功能、配置和使用方法得到充分说明。
|
||||
|
||||
本过滤器通过智能摘要和消息压缩技术，在保持对话连贯性的同时，显著降低长对话的 Token 消耗。
|
||||
|
||||
## 1.1.2 版本更新
|
||||
|
||||
- **Open WebUI v0.7.x 兼容性**: 修复了影响 Open WebUI v0.7.x 用户的严重数据库会话绑定错误。插件现在动态发现数据库引擎和会话上下文，确保跨版本兼容性。
|
||||
- **增强错误报告**: 后台摘要生成过程中的错误现在会通过状态栏和浏览器控制台同时报告。
|
||||
- **健壮的模型处理**: 改进了对缺失或无效模型 ID 的处理，防止程序崩溃。
|
||||
|
||||
## 1.1.1 版本更新
|
||||
|
||||
- **前端调试**: 新增 `show_debug_log` 选项，支持在浏览器控制台 (F12) 打印调试信息。
|
||||
- **压缩优化**: 优化 Token 计算逻辑，防止历史记录被过度截断，保留更多上下文。
|
||||
|
||||
## 1.1.0 版本更新
|
||||
|
||||
- 默认复用 OpenWebUI 内置数据库连接，无需自建引擎、无需配置 `DATABASE_URL`。
|
||||
@@ -94,6 +105,11 @@
|
||||
- **默认值**: `true`
|
||||
- **描述**: 是否在 Open WebUI 的控制台日志中打印详细的调试信息（如 Token 计数、压缩进度、数据库操作等）。生产环境建议设为 `false`。
|
||||
|
||||
#### `show_debug_log`
|
||||
|
||||
- **默认值**: `false`
|
||||
- **描述**: 是否在浏览器控制台 (F12) 打印调试日志。便于前端调试。
|
||||
|
||||
---
|
||||
|
||||
## 故障排除
|
||||
|
||||
@@ -5,7 +5,7 @@ author: Fu-Jie
|
||||
author_url: https://github.com/Fu-Jie
|
||||
funding_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||
description: Reduces token consumption in long conversations while maintaining coherence through intelligent summarization and message compression.
|
||||
version: 1.1.1
|
||||
version: 1.1.2
|
||||
openwebui_id: b1655bc8-6de9-4cad-8cb5-a6f7829a02ce
|
||||
license: MIT
|
||||
|
||||
@@ -249,6 +249,7 @@ import asyncio
|
||||
import json
|
||||
import hashlib
|
||||
import time
|
||||
import contextlib
|
||||
|
||||
# Open WebUI built-in imports
|
||||
from open_webui.utils.chat import generate_chat_completion
|
||||
@@ -257,9 +258,10 @@ from fastapi.requests import Request
|
||||
from open_webui.main import app as webui_app
|
||||
|
||||
# Open WebUI internal database (re-use shared connection)
|
||||
from open_webui.internal.db import engine as owui_engine
|
||||
from open_webui.internal.db import Session as owui_Session
|
||||
from open_webui.internal.db import Base as owui_Base
|
||||
try:
|
||||
from open_webui.internal import db as owui_db
|
||||
except ModuleNotFoundError: # pragma: no cover - filter runs inside Open WebUI
|
||||
owui_db = None
|
||||
|
||||
# Try to import tiktoken
|
||||
try:
|
||||
@@ -269,14 +271,91 @@ except ImportError:
|
||||
|
||||
# Database imports
|
||||
from sqlalchemy import Column, String, Text, DateTime, Integer, inspect
|
||||
from sqlalchemy.orm import declarative_base, sessionmaker
|
||||
from sqlalchemy.engine import Engine
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
def _discover_owui_engine(db_module: Any) -> Optional[Engine]:
|
||||
"""Discover the Open WebUI SQLAlchemy engine via provided db module helpers."""
|
||||
if db_module is None:
|
||||
return None
|
||||
|
||||
db_context = getattr(db_module, "get_db_context", None) or getattr(
|
||||
db_module, "get_db", None
|
||||
)
|
||||
if callable(db_context):
|
||||
try:
|
||||
with db_context() as session:
|
||||
try:
|
||||
return session.get_bind()
|
||||
except AttributeError:
|
||||
return getattr(session, "bind", None) or getattr(
|
||||
session, "engine", None
|
||||
)
|
||||
except Exception as exc:
|
||||
print(f"[DB Discover] get_db_context failed: {exc}")
|
||||
|
||||
for attr in ("engine", "ENGINE", "bind", "BIND"):
|
||||
candidate = getattr(db_module, attr, None)
|
||||
if candidate is not None:
|
||||
return candidate
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def _discover_owui_schema(db_module: Any) -> Optional[str]:
|
||||
"""Discover the Open WebUI database schema name if configured."""
|
||||
if db_module is None:
|
||||
return None
|
||||
|
||||
try:
|
||||
base = getattr(db_module, "Base", None)
|
||||
metadata = getattr(base, "metadata", None) if base is not None else None
|
||||
candidate = getattr(metadata, "schema", None) if metadata is not None else None
|
||||
if isinstance(candidate, str) and candidate.strip():
|
||||
return candidate.strip()
|
||||
except Exception as exc:
|
||||
print(f"[DB Discover] Base metadata schema lookup failed: {exc}")
|
||||
|
||||
try:
|
||||
metadata_obj = getattr(db_module, "metadata_obj", None)
|
||||
candidate = (
|
||||
getattr(metadata_obj, "schema", None) if metadata_obj is not None else None
|
||||
)
|
||||
if isinstance(candidate, str) and candidate.strip():
|
||||
return candidate.strip()
|
||||
except Exception as exc:
|
||||
print(f"[DB Discover] metadata_obj schema lookup failed: {exc}")
|
||||
|
||||
try:
|
||||
from open_webui import env as owui_env
|
||||
|
||||
candidate = getattr(owui_env, "DATABASE_SCHEMA", None)
|
||||
if isinstance(candidate, str) and candidate.strip():
|
||||
return candidate.strip()
|
||||
except Exception as exc:
|
||||
print(f"[DB Discover] env schema lookup failed: {exc}")
|
||||
|
||||
return None
|
||||
|
||||
|
||||
owui_engine = _discover_owui_engine(owui_db)
|
||||
owui_schema = _discover_owui_schema(owui_db)
|
||||
owui_Base = getattr(owui_db, "Base", None) if owui_db is not None else None
|
||||
if owui_Base is None:
|
||||
owui_Base = declarative_base()
|
||||
|
||||
|
||||
class ChatSummary(owui_Base):
|
||||
"""Chat Summary Storage Table"""
|
||||
|
||||
__tablename__ = "chat_summary"
|
||||
__table_args__ = {"extend_existing": True}
|
||||
__table_args__ = (
|
||||
{"extend_existing": True, "schema": owui_schema}
|
||||
if owui_schema
|
||||
else {"extend_existing": True}
|
||||
)
|
||||
|
||||
id = Column(Integer, primary_key=True, autoincrement=True)
|
||||
chat_id = Column(String(255), unique=True, nullable=False, index=True)
|
||||
@@ -289,14 +368,66 @@ class ChatSummary(owui_Base):
|
||||
class Filter:
|
||||
def __init__(self):
|
||||
self.valves = self.Valves()
|
||||
self._owui_db = owui_db
|
||||
self._db_engine = owui_engine
|
||||
self._SessionLocal = owui_Session
|
||||
self.temp_state = {} # Used to pass temporary data between inlet and outlet
|
||||
self._fallback_session_factory = (
|
||||
sessionmaker(bind=self._db_engine) if self._db_engine else None
|
||||
)
|
||||
self._init_database()
|
||||
|
||||
@contextlib.contextmanager
|
||||
def _db_session(self):
|
||||
"""Yield a database session using Open WebUI helpers with graceful fallbacks."""
|
||||
db_module = self._owui_db
|
||||
db_context = None
|
||||
if db_module is not None:
|
||||
db_context = getattr(db_module, "get_db_context", None) or getattr(
|
||||
db_module, "get_db", None
|
||||
)
|
||||
|
||||
if callable(db_context):
|
||||
with db_context() as session:
|
||||
yield session
|
||||
return
|
||||
|
||||
factory = None
|
||||
if db_module is not None:
|
||||
factory = getattr(db_module, "SessionLocal", None) or getattr(
|
||||
db_module, "ScopedSession", None
|
||||
)
|
||||
if callable(factory):
|
||||
session = factory()
|
||||
try:
|
||||
yield session
|
||||
finally:
|
||||
close = getattr(session, "close", None)
|
||||
if callable(close):
|
||||
close()
|
||||
return
|
||||
|
||||
if self._fallback_session_factory is None:
|
||||
raise RuntimeError(
|
||||
"Open WebUI database session is unavailable. Ensure Open WebUI's database layer is initialized."
|
||||
)
|
||||
|
||||
session = self._fallback_session_factory()
|
||||
try:
|
||||
yield session
|
||||
finally:
|
||||
try:
|
||||
session.close()
|
||||
except Exception as exc: # pragma: no cover - best-effort cleanup
|
||||
print(f"[Database] ⚠️ Failed to close fallback session: {exc}")
|
||||
|
||||
def _init_database(self):
|
||||
"""Initializes the database table using Open WebUI's shared connection."""
|
||||
try:
|
||||
if self._db_engine is None:
|
||||
raise RuntimeError(
|
||||
"Open WebUI database engine is unavailable. Ensure Open WebUI is configured with a valid DATABASE_URL."
|
||||
)
|
||||
|
||||
# Check if table exists using SQLAlchemy inspect
|
||||
inspector = inspect(self._db_engine)
|
||||
if not inspector.has_table("chat_summary"):
|
||||
@@ -366,7 +497,7 @@ class Filter:
|
||||
def _save_summary(self, chat_id: str, summary: str, compressed_count: int):
|
||||
"""Saves the summary to the database."""
|
||||
try:
|
||||
with self._SessionLocal() as session:
|
||||
with self._db_session() as session:
|
||||
# Find existing record
|
||||
existing = session.query(ChatSummary).filter_by(chat_id=chat_id).first()
|
||||
|
||||
@@ -406,7 +537,7 @@ class Filter:
|
||||
def _load_summary_record(self, chat_id: str) -> Optional[ChatSummary]:
|
||||
"""Loads the summary record object from the database."""
|
||||
try:
|
||||
with self._SessionLocal() as session:
|
||||
with self._db_session() as session:
|
||||
record = session.query(ChatSummary).filter_by(chat_id=chat_id).first()
|
||||
if record:
|
||||
# Detach the object from the session so it can be used after session close
|
||||
@@ -487,6 +618,26 @@ class Filter:
|
||||
"max_context_tokens": self.valves.max_context_tokens,
|
||||
}
|
||||
|
||||
def _extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
|
||||
"""Extract chat_id from body or metadata."""
|
||||
if isinstance(body, dict):
|
||||
chat_id = body.get("chat_id")
|
||||
if isinstance(chat_id, str) and chat_id.strip():
|
||||
return chat_id.strip()
|
||||
|
||||
body_metadata = body.get("metadata", {})
|
||||
if isinstance(body_metadata, dict):
|
||||
chat_id = body_metadata.get("chat_id")
|
||||
if isinstance(chat_id, str) and chat_id.strip():
|
||||
return chat_id.strip()
|
||||
|
||||
if isinstance(metadata, dict):
|
||||
chat_id = metadata.get("chat_id")
|
||||
if isinstance(chat_id, str) and chat_id.strip():
|
||||
return chat_id.strip()
|
||||
|
||||
return ""
|
||||
|
||||
def _inject_summary_to_first_message(self, message: dict, summary: str) -> dict:
|
||||
"""Injects the summary into the first message (prepended to content)."""
|
||||
content = message.get("content", "")
|
||||
@@ -632,7 +783,15 @@ class Filter:
|
||||
Compression Strategy: Only responsible for injecting existing summaries, no Token calculation.
|
||||
"""
|
||||
messages = body.get("messages", [])
|
||||
chat_id = __metadata__["chat_id"]
|
||||
chat_id = self._extract_chat_id(body, __metadata__)
|
||||
|
||||
if not chat_id:
|
||||
await self._log(
|
||||
"[Inlet] ❌ Missing chat_id in metadata, skipping compression",
|
||||
type="error",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
return body
|
||||
|
||||
if self.valves.debug_mode or self.valves.show_debug_log:
|
||||
await self._log(
|
||||
@@ -747,7 +906,14 @@ class Filter:
|
||||
Executed after the LLM response is complete.
|
||||
Calculates Token count in the background and triggers summary generation (does not block current response, does not affect content output).
|
||||
"""
|
||||
chat_id = __metadata__["chat_id"]
|
||||
chat_id = self._extract_chat_id(body, __metadata__)
|
||||
if not chat_id:
|
||||
await self._log(
|
||||
"[Outlet] ❌ Missing chat_id in metadata, skipping compression",
|
||||
type="error",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
return body
|
||||
model = body.get("model", "gpt-3.5-turbo")
|
||||
|
||||
if self.valves.debug_mode or self.valves.show_debug_log:
|
||||
@@ -836,6 +1002,13 @@ class Filter:
|
||||
event_call=__event_call__,
|
||||
)
|
||||
|
||||
def _clean_model_id(self, model_id: Optional[str]) -> Optional[str]:
|
||||
"""Cleans the model ID by removing whitespace and quotes."""
|
||||
if not model_id:
|
||||
return None
|
||||
cleaned = model_id.strip().strip('"').strip("'")
|
||||
return cleaned if cleaned else None
|
||||
|
||||
async def _generate_summary_async(
|
||||
self,
|
||||
messages: list,
|
||||
@@ -892,9 +1065,17 @@ class Filter:
|
||||
# 3. Check Token limit and truncate (Max Context Truncation)
|
||||
# [Optimization] Use the summary model's (if any) threshold to decide how many middle messages can be processed
|
||||
# This allows using a long-window model (like gemini-flash) to compress history exceeding the current model's window
|
||||
summary_model_id = self.valves.summary_model or body.get(
|
||||
"model", "gpt-3.5-turbo"
|
||||
)
|
||||
summary_model_id = self._clean_model_id(
|
||||
self.valves.summary_model
|
||||
) or self._clean_model_id(body.get("model"))
|
||||
|
||||
if not summary_model_id:
|
||||
await self._log(
|
||||
"[🤖 Async Summary Task] ⚠️ Summary model does not exist, skipping compression",
|
||||
type="warning",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
return
|
||||
|
||||
thresholds = self._get_model_thresholds(summary_model_id)
|
||||
# Note: Using the summary model's max context limit here
|
||||
@@ -966,9 +1147,21 @@ class Filter:
|
||||
)
|
||||
|
||||
new_summary = await self._call_summary_llm(
|
||||
None, conversation_text, body, user_data, __event_call__
|
||||
None,
|
||||
conversation_text,
|
||||
{**body, "model": summary_model_id},
|
||||
user_data,
|
||||
__event_call__,
|
||||
)
|
||||
|
||||
if not new_summary:
|
||||
await self._log(
|
||||
"[🤖 Async Summary Task] ⚠️ Summary generation returned empty result, skipping save",
|
||||
type="warning",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
return
|
||||
|
||||
# 6. Save new summary
|
||||
await self._log(
|
||||
"[Optimization] Saving summary in a background thread to avoid blocking the event loop.",
|
||||
@@ -1007,6 +1200,18 @@ class Filter:
|
||||
type="error",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
|
||||
if __event_emitter__:
|
||||
await __event_emitter__(
|
||||
{
|
||||
"type": "status",
|
||||
"data": {
|
||||
"description": f"Summary Error: {str(e)[:100]}...",
|
||||
"done": True,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
@@ -1088,7 +1293,17 @@ This conversation may contain previous summaries (as system messages or text) an
|
||||
Based on the content above, generate the summary:
|
||||
"""
|
||||
# Determine the model to use
|
||||
model = self.valves.summary_model or body.get("model", "")
|
||||
model = self._clean_model_id(self.valves.summary_model) or self._clean_model_id(
|
||||
body.get("model")
|
||||
)
|
||||
|
||||
if not model:
|
||||
await self._log(
|
||||
"[🤖 LLM Call] ⚠️ Summary model does not exist, skipping summary generation",
|
||||
type="warning",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
return ""
|
||||
|
||||
await self._log(f"[🤖 LLM Call] Model: {model}", event_call=__event_call__)
|
||||
|
||||
@@ -1142,7 +1357,12 @@ Based on the content above, generate the summary:
|
||||
return summary
|
||||
|
||||
except Exception as e:
|
||||
error_message = f"Error occurred while calling LLM ({model}) to generate summary: {str(e)}"
|
||||
error_msg = str(e)
|
||||
# Handle specific error messages
|
||||
if "Model not found" in error_msg:
|
||||
error_message = f"Summary model '{model}' not found."
|
||||
else:
|
||||
error_message = f"Summary LLM Error ({model}): {error_msg}"
|
||||
if not self.valves.summary_model:
|
||||
error_message += (
|
||||
"\n[Hint] You did not specify a summary_model, so the filter attempted to use the current conversation's model. "
|
||||
|
||||
@@ -5,7 +5,7 @@ author: Fu-Jie
|
||||
author_url: https://github.com/Fu-Jie
|
||||
funding_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||
description: 通过智能摘要和消息压缩，降低长对话的 token 消耗，同时保持对话连贯性。
|
||||
version: 1.1.1
|
||||
version: 1.1.2
|
||||
openwebui_id: 5c0617cb-a9e4-4bd6-a440-d276534ebd18
|
||||
license: MIT
|
||||
|
||||
@@ -820,6 +820,13 @@ class Filter:
|
||||
event_call=__event_call__,
|
||||
)
|
||||
|
||||
def _clean_model_id(self, model_id: Optional[str]) -> Optional[str]:
|
||||
"""Cleans the model ID by removing whitespace and quotes."""
|
||||
if not model_id:
|
||||
return None
|
||||
cleaned = model_id.strip().strip('"').strip("'")
|
||||
return cleaned if cleaned else None
|
||||
|
||||
async def _generate_summary_async(
|
||||
self,
|
||||
messages: list,
|
||||
@@ -874,7 +881,17 @@ class Filter:
|
||||
# 3. 检查 Token 上限并截断 (Max Context Truncation)
|
||||
# [优化] 使用摘要模型(如果有)的阈值来决定能处理多少中间消息
|
||||
# 这样可以用长窗口模型(如 gemini-flash)来压缩超过当前模型窗口的历史记录
|
||||
summary_model_id = self.valves.summary_model or body.get("model")
|
||||
summary_model_id = self._clean_model_id(
|
||||
self.valves.summary_model
|
||||
) or self._clean_model_id(body.get("model"))
|
||||
|
||||
if not summary_model_id:
|
||||
await self._log(
|
||||
"[🤖 异步摘要任务] ⚠️ 摘要模型不存在，跳过压缩",
|
||||
type="warning",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
return
|
||||
|
||||
thresholds = self._get_model_thresholds(summary_model_id)
|
||||
# 注意：这里使用的是摘要模型的最大上下文限制
|
||||
@@ -946,9 +963,21 @@ class Filter:
|
||||
)
|
||||
|
||||
new_summary = await self._call_summary_llm(
|
||||
None, conversation_text, body, user_data, __event_call__
|
||||
None,
|
||||
conversation_text,
|
||||
{**body, "model": summary_model_id},
|
||||
user_data,
|
||||
__event_call__,
|
||||
)
|
||||
|
||||
if not new_summary:
|
||||
await self._log(
|
||||
"[🤖 异步摘要任务] ⚠️ 摘要生成返回空结果，跳过保存",
|
||||
type="warning",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
return
|
||||
|
||||
# 6. 保存新摘要
|
||||
await self._log(
|
||||
"[优化] 在后台线程中保存摘要以避免阻塞事件循环。",
|
||||
@@ -987,6 +1016,18 @@ class Filter:
|
||||
type="error",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
|
||||
if __event_emitter__:
|
||||
await __event_emitter__(
|
||||
{
|
||||
"type": "status",
|
||||
"data": {
|
||||
"description": f"摘要生成错误: {str(e)[:100]}...",
|
||||
"done": True,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
@@ -1068,7 +1109,17 @@ class Filter:
|
||||
请根据上述内容，生成摘要：
|
||||
"""
|
||||
# 确定使用的模型
|
||||
model = self.valves.summary_model or body.get("model", "")
|
||||
model = self._clean_model_id(self.valves.summary_model) or self._clean_model_id(
|
||||
body.get("model")
|
||||
)
|
||||
|
||||
if not model:
|
||||
await self._log(
|
||||
"[🤖 LLM 调用] ⚠️ 摘要模型不存在，跳过摘要生成",
|
||||
type="warning",
|
||||
event_call=__event_call__,
|
||||
)
|
||||
return ""
|
||||
|
||||
await self._log(f"[🤖 LLM 调用] 模型: {model}", event_call=__event_call__)
|
||||
|
||||
@@ -1122,7 +1173,12 @@ class Filter:
|
||||
return summary
|
||||
|
||||
except Exception as e:
|
||||
error_message = f"调用 LLM ({model}) 生成摘要时发生错误: {str(e)}"
|
||||
error_msg = str(e)
|
||||
# Handle specific error messages
|
||||
if "Model not found" in error_msg:
|
||||
error_message = f"摘要模型 '{model}' 不存在。"
|
||||
else:
|
||||
error_message = f"摘要 LLM 错误 ({model}): {error_msg}"
|
||||
if not self.valves.summary_model:
|
||||
error_message += (
|
||||
"\n[提示] 您未指定 summary_model，因此过滤器尝试使用当前对话的模型。"
|
||||
|
||||
@@ -4,7 +4,7 @@ A production-grade content normalizer filter for Open WebUI that fixes common Ma
|
||||
|
||||
## Features
|
||||
|
||||
* **Mermaid Syntax Fix**: Automatically fixes common Mermaid syntax errors, such as unquoted node labels and unclosed subgraphs, ensuring diagrams render correctly.
|
||||
* **Mermaid Syntax Fix**: Automatically fixes common Mermaid syntax errors, such as unquoted node labels (including multi-line labels and citations) and unclosed subgraphs, ensuring diagrams render correctly.
|
||||
* **Frontend Console Debugging**: Supports printing structured debug logs directly to the browser console (F12) for easier troubleshooting.
|
||||
* **Code Block Formatting**: Fixes broken code block prefixes, suffixes, and indentation.
|
||||
* **LaTeX Normalization**: Standardizes LaTeX formula delimiters (`\[` -> `$$`, `\(` -> `$`).
|
||||
@@ -20,7 +20,9 @@ A production-grade content normalizer filter for Open WebUI that fixes common Ma
|
||||
1. Install the plugin in Open WebUI.
|
||||
2. Enable the filter globally or for specific models.
|
||||
3. Configure the enabled fixes in the **Valves** settings.
|
||||
4. (Optional) Enable **Show Debug Log** in Valves to view detailed logs in the browser console.
|
||||
4. (Optional) **Show Debug Log** is enabled by default in Valves. This prints structured logs to the browser console (F12).
|
||||
> [!WARNING]
|
||||
> As this is an initial version, some "negative fixes" might occur (e.g., breaking valid Markdown). If you encounter issues, please check the console logs, copy the "Original" vs "Normalized" content, and submit an issue.
|
||||
|
||||
## Configuration (Valves)
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@
|
||||
|
||||
## 功能特性
|
||||
|
||||
* **Mermaid 语法修复**: 自动修复常见的 Mermaid 语法错误，如未加引号的节点标签和未闭合的子图 (Subgraph)，确保图表能正确渲染。
|
||||
* **Mermaid 语法修复**: 自动修复常见的 Mermaid 语法错误，如未加引号的节点标签（支持多行标签和引用标记）和未闭合的子图 (Subgraph)，确保图表能正确渲染。
|
||||
* **前端控制台调试**: 支持将结构化的调试日志直接打印到浏览器控制台 (F12)，方便排查问题。
|
||||
* **代码块格式化**: 修复破损的代码块前缀、后缀和缩进问题。
|
||||
* **LaTeX 规范化**: 标准化 LaTeX 公式定界符 (`\[` -> `$$`, `\(` -> `$`)。
|
||||
@@ -20,7 +20,9 @@
|
||||
1. 在 Open WebUI 中安装此插件。
|
||||
2. 全局启用或为特定模型启用此过滤器。
|
||||
3. 在 **Valves** 设置中配置需要启用的修复项。
|
||||
4. (可选) 在 Valves 中开启 **显示调试日志 (Show Debug Log)** 以在浏览器控制台中查看详细日志。
|
||||
4. (可选) **显示调试日志 (Show Debug Log)** 在 Valves 中默认开启。这会将结构化的日志打印到浏览器控制台 (F12)。
|
||||
> [!WARNING]
|
||||
> 由于这是初版，可能会出现“负向修复”的情况（例如破坏了原本正确的格式）。如果您遇到问题，请务必查看控制台日志，复制“原始 (Original)”与“规范化 (Normalized)”的内容对比，并提交 Issue 反馈。
|
||||
|
||||
## 配置项 (Valves)
|
||||
|
||||
|
||||
@@ -3,7 +3,7 @@ title: Markdown Normalizer
|
||||
author: Fu-Jie
|
||||
author_url: https://github.com/Fu-Jie
|
||||
funding_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||
version: 1.0.0
|
||||
version: 1.0.1
|
||||
description: A production-grade content normalizer filter that fixes common Markdown formatting issues in LLM outputs, such as broken code blocks, LaTeX formulas, and list formatting.
|
||||
"""
|
||||
|
||||
@@ -91,6 +91,8 @@ class ContentNormalizer:
|
||||
r"(\{)(?![\"])(.*?)(?<![\"])(\})|" # {...} Rhombus
|
||||
r"(>)(?![\"])(.*?)(?<![\"])(\])" # >...] Asymmetric
|
||||
r")"
|
||||
r"(\s*\[\d+\])?", # Capture optional citation [1]
|
||||
re.DOTALL,
|
||||
),
|
||||
# Heading: #Heading -> # Heading
|
||||
"heading_space": re.compile(r"^(#+)([^ \n#])", re.MULTILINE),
|
||||
@@ -290,15 +292,20 @@ class ContentNormalizer:
|
||||
id_str = match.group(2)
|
||||
|
||||
# Find matching shape group
|
||||
# Groups start at index 3 (in match.group terms) or index 2 (in match.groups() tuple)
|
||||
# Tuple: (String, ID, Open1, Content1, Close1, ...)
|
||||
groups = match.groups()
|
||||
for i in range(2, len(groups), 3):
|
||||
citation = groups[-1] or "" # Last group is citation
|
||||
|
||||
# Iterate over shape groups (excluding the last citation group)
|
||||
for i in range(2, len(groups) - 1, 3):
|
||||
if groups[i] is not None:
|
||||
open_char = groups[i]
|
||||
content = groups[i + 1]
|
||||
close_char = groups[i + 2]
|
||||
|
||||
# Append citation to content if present
|
||||
if citation:
|
||||
content += citation
|
||||
|
||||
# Escape quotes in content
|
||||
content = content.replace('"', '\\"')
|
||||
|
||||
@@ -397,7 +404,7 @@ class Filter:
|
||||
default=True, description="Show status notification when fixes are applied"
|
||||
)
|
||||
show_debug_log: bool = Field(
|
||||
default=False, description="Print debug logs to browser console (F12)"
|
||||
default=True, description="Print debug logs to browser console (F12)"
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
|
||||
@@ -3,7 +3,7 @@ title: Markdown 格式修复器 (Markdown Normalizer)
|
||||
author: Fu-Jie
|
||||
author_url: https://github.com/Fu-Jie
|
||||
funding_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||
version: 1.0.0
|
||||
version: 1.0.1
|
||||
description: 生产级内容规范化过滤器，修复 LLM 输出中常见的 Markdown 格式问题，如损坏的代码块、LaTeX 公式、Mermaid 图表和列表格式。
|
||||
"""
|
||||
|
||||
@@ -86,6 +86,8 @@ class ContentNormalizer:
|
||||
r"(\{)(?![\"])(.*?)(?<![\"])(\})|" # {...} Rhombus
|
||||
r"(>)(?![\"])(.*?)(?<![\"])(\])" # >...] Asymmetric
|
||||
r")"
|
||||
r"(\s*\[\d+\])?", # Capture optional citation [1]
|
||||
re.DOTALL,
|
||||
),
|
||||
# Heading: #Heading -> # Heading
|
||||
"heading_space": re.compile(r"^(#+)([^ \n#])", re.MULTILINE),
|
||||
@@ -285,15 +287,20 @@ class ContentNormalizer:
|
||||
id_str = match.group(2)
|
||||
|
||||
# Find matching shape group
|
||||
# Groups start at index 3 (in match.group terms) or index 2 (in match.groups() tuple)
|
||||
# Tuple: (String, ID, Open1, Content1, Close1, ...)
|
||||
groups = match.groups()
|
||||
for i in range(2, len(groups), 3):
|
||||
citation = groups[-1] or "" # Last group is citation
|
||||
|
||||
# Iterate over shape groups (excluding the last citation group)
|
||||
for i in range(2, len(groups) - 1, 3):
|
||||
if groups[i] is not None:
|
||||
open_char = groups[i]
|
||||
content = groups[i + 1]
|
||||
close_char = groups[i + 2]
|
||||
|
||||
# Append citation to content if present
|
||||
if citation:
|
||||
content += citation
|
||||
|
||||
# 如果内容包含引号，进行转义
|
||||
content = content.replace('"', '\\"')
|
||||
|
||||
@@ -397,7 +404,7 @@ class Filter:
|
||||
)
|
||||
show_status: bool = Field(default=True, description="应用修复时显示状态通知")
|
||||
show_debug_log: bool = Field(
|
||||
default=False, description="在浏览器控制台打印调试日志 (F12)"
|
||||
default=True, description="在浏览器控制台打印调试日志 (F12)"
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
|
||||
@@ -469,10 +469,42 @@ class OpenWebUICommunityClient:
|
||||
return True, f"Created new post (ID: {new_post_id})"
|
||||
return False, "Failed to create new post"
|
||||
|
||||
# 获取远程帖子信息（只需获取一次）
|
||||
remote_post = None
|
||||
if post_id:
|
||||
remote_post = self.get_post(post_id)
|
||||
|
||||
# 版本检查（仅对更新有效）
|
||||
if not force and local_version:
|
||||
if not self.version_needs_update(post_id, local_version):
|
||||
return True, f"Skipped: version {local_version} matches remote"
|
||||
if not force and local_version and remote_post:
|
||||
remote_version = (
|
||||
remote_post.get("data", {})
|
||||
.get("function", {})
|
||||
.get("meta", {})
|
||||
.get("manifest", {})
|
||||
.get("version")
|
||||
)
|
||||
|
||||
version_changed = local_version != remote_version
|
||||
|
||||
# 检查 README 是否变化
|
||||
readme_changed = False
|
||||
remote_content = remote_post.get("content", "")
|
||||
local_content = readme_content or metadata.get("description", "")
|
||||
|
||||
# 简单的内容比较 (去除首尾空白)
|
||||
if (local_content or "").strip() != (remote_content or "").strip():
|
||||
readme_changed = True
|
||||
|
||||
if not version_changed and not readme_changed:
|
||||
return (
|
||||
True,
|
||||
f"Skipped: version {local_version} matches remote and no README changes",
|
||||
)
|
||||
|
||||
if readme_changed and not version_changed:
|
||||
print(
|
||||
f" ℹ️ Version match ({local_version}) but README changed. Updating..."
|
||||
)
|
||||
|
||||
# 更新
|
||||
success = self.update_plugin(
|
||||
@@ -484,7 +516,9 @@ class OpenWebUICommunityClient:
|
||||
)
|
||||
|
||||
if success:
|
||||
return True, f"Updated to version {local_version}"
|
||||
if local_version:
|
||||
return True, f"Updated to version {local_version}"
|
||||
return True, "Updated plugin"
|
||||
return False, "Update failed"
|
||||
|
||||
def _parse_frontmatter(self, content: str) -> Dict[str, str]:
|
||||
|
||||
@@ -414,7 +414,8 @@ class OpenWebUIStats:
|
||||
"author_header": "| 👤 作者 | 👥 粉丝 | ⭐ 积分 | 🏆 贡献 |",
|
||||
"header": "| 📝 发布 | ⬇️ 下载 | 👁️ 浏览 | 👍 点赞 | 💾 收藏 |",
|
||||
"top6_title": "### 🔥 热门插件 Top 6",
|
||||
"top6_header": "| 排名 | 插件 | 下载 | 浏览 |",
|
||||
"top6_updated": f"> 🕐 自动更新于 {get_beijing_time().strftime('%Y-%m-%d %H:%M')}",
|
||||
"top6_header": "| 排名 | 插件 | 下载 | 浏览 | 更新日期 |",
|
||||
"full_stats": "*完整统计请查看 [社区统计报告](./docs/community-stats.zh.md)*",
|
||||
},
|
||||
"en": {
|
||||
@@ -423,7 +424,8 @@ class OpenWebUIStats:
|
||||
"author_header": "| 👤 Author | 👥 Followers | ⭐ Points | 🏆 Contributions |",
|
||||
"header": "| 📝 Posts | ⬇️ Downloads | 👁️ Views | 👍 Upvotes | 💾 Saves |",
|
||||
"top6_title": "### 🔥 Top 6 Popular Plugins",
|
||||
"top6_header": "| Rank | Plugin | Downloads | Views |",
|
||||
"top6_updated": f"> 🕐 Auto-updated: {get_beijing_time().strftime('%Y-%m-%d %H:%M')}",
|
||||
"top6_header": "| Rank | Plugin | Downloads | Views | Updated |",
|
||||
"full_stats": "*See full stats in [Community Stats Report](./docs/community-stats.md)*",
|
||||
},
|
||||
}
|
||||
@@ -462,14 +464,16 @@ class OpenWebUIStats:
|
||||
# Top 6 热门插件
|
||||
lines.append(t["top6_title"])
|
||||
lines.append("")
|
||||
lines.append(t["top6_updated"])
|
||||
lines.append("")
|
||||
lines.append(t["top6_header"])
|
||||
lines.append("|:---:|------|:---:|:---:|")
|
||||
lines.append("|:---:|------|:---:|:---:|:---:|")
|
||||
|
||||
medals = ["🥇", "🥈", "🥉", "4️⃣", "5️⃣", "6️⃣"]
|
||||
for i, post in enumerate(top_plugins):
|
||||
medal = medals[i] if i < len(medals) else str(i + 1)
|
||||
lines.append(
|
||||
f"| {medal} | [{post['title']}]({post['url']}) | {post['downloads']} | {post['views']} |"
|
||||
f"| {medal} | [{post['title']}]({post['url']}) | {post['downloads']} | {post['views']} | {post['updated_at']} |"
|
||||
)
|
||||
|
||||
lines.append("")
|
||||
|
||||
Reference in New Issue
Block a user