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v2026.01.0
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v2026.01.0
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12
README.md
12
README.md
@@ -7,7 +7,7 @@ A collection of enhancements, plugins, and prompts for [OpenWebUI](https://githu
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<!-- STATS_START -->
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## 📊 Community Stats
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> 🕐 Auto-updated: 2026-01-06 21:19
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> 🕐 Auto-updated: 2026-01-06 22:09
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| 👤 Author | 👥 Followers | ⭐ Points | 🏆 Contributions |
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|:---:|:---:|:---:|:---:|
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@@ -15,17 +15,17 @@ A collection of enhancements, plugins, and prompts for [OpenWebUI](https://githu
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| 📝 Posts | ⬇️ Downloads | 👁️ Views | 👍 Upvotes | 💾 Saves |
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||||
|:---:|:---:|:---:|:---:|:---:|
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||||
| **11** | **794** | **8481** | **54** | **48** |
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| **11** | **797** | **8536** | **54** | **48** |
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### 🔥 Top 5 Popular Plugins
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| Rank | Plugin | Downloads | Views |
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|:---:|------|:---:|:---:|
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| 🥇 | [Turn Any Text into Beautiful Mind Maps](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 240 | 2133 |
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| 🥇 | [Turn Any Text into Beautiful Mind Maps](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 242 | 2157 |
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| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 171 | 459 |
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| 🥉 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 112 | 1236 |
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| 4️⃣ | [Flash Card ](https://openwebui.com/posts/flash_card_65a2ea8f) | 76 | 1421 |
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| 5️⃣ | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 65 | 909 |
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| 🥉 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 112 | 1237 |
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| 4️⃣ | [Flash Card ](https://openwebui.com/posts/flash_card_65a2ea8f) | 76 | 1429 |
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| 5️⃣ | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 65 | 917 |
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*See full stats in [Community Stats Report](./docs/community-stats.md)*
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<!-- STATS_END -->
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12
README_CN.md
12
README_CN.md
@@ -7,7 +7,7 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
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<!-- STATS_START -->
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## 📊 社区统计
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> 🕐 自动更新于 2026-01-06 21:19
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> 🕐 自动更新于 2026-01-06 22:09
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| 👤 作者 | 👥 粉丝 | ⭐ 积分 | 🏆 贡献 |
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|:---:|:---:|:---:|:---:|
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@@ -15,17 +15,17 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
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| 📝 发布 | ⬇️ 下载 | 👁️ 浏览 | 👍 点赞 | 💾 收藏 |
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|:---:|:---:|:---:|:---:|:---:|
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||||
| **11** | **794** | **8481** | **54** | **48** |
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| **11** | **797** | **8536** | **54** | **48** |
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### 🔥 热门插件 Top 5
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| 排名 | 插件 | 下载 | 浏览 |
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|:---:|------|:---:|:---:|
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| 🥇 | [Turn Any Text into Beautiful Mind Maps](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 240 | 2133 |
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||||
| 🥇 | [Turn Any Text into Beautiful Mind Maps](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 242 | 2157 |
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| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 171 | 459 |
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| 🥉 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 112 | 1236 |
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| 4️⃣ | [Flash Card ](https://openwebui.com/posts/flash_card_65a2ea8f) | 76 | 1421 |
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||||
| 5️⃣ | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 65 | 909 |
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| 🥉 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 112 | 1237 |
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| 4️⃣ | [Flash Card ](https://openwebui.com/posts/flash_card_65a2ea8f) | 76 | 1429 |
|
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| 5️⃣ | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 65 | 917 |
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*完整统计请查看 [社区统计报告](./docs/community-stats.md)*
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<!-- STATS_END -->
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@@ -1,14 +1,14 @@
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# 📊 OpenWebUI Community Stats Report
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> 📅 Updated: 2026-01-06 21:19
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> 📅 Updated: 2026-01-06 22:09
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## 📈 Overview
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| Metric | Value |
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|------|------|
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| 📝 Total Posts | 11 |
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| ⬇️ Total Downloads | 794 |
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| 👁️ Total Views | 8481 |
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| ⬇️ Total Downloads | 797 |
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| 👁️ Total Views | 8536 |
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| 👍 Total Upvotes | 54 |
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| 💾 Total Saves | 48 |
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| 💬 Total Comments | 13 |
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@@ -22,14 +22,14 @@
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| Rank | Title | Type | Version | Downloads | Views | Upvotes | Saves | Updated |
|
||||
|:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
|
||||
| 1 | [Turn Any Text into Beautiful Mind Maps](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.8.2 | 240 | 2133 | 10 | 15 | 2026-01-03 |
|
||||
| 1 | [Turn Any Text into Beautiful Mind Maps](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 242 | 2157 | 10 | 15 | 2026-01-06 |
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| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.6 | 171 | 459 | 3 | 3 | 2026-01-03 |
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| 3 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.0 | 112 | 1236 | 5 | 9 | 2025-12-31 |
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| 4 | [Flash Card ](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 76 | 1421 | 8 | 5 | 2026-01-03 |
|
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| 5 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.3.2 | 65 | 909 | 6 | 8 | 2026-01-03 |
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| 6 | [Export to Word (Enhanced Formatting)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.0 | 51 | 504 | 5 | 4 | 2026-01-05 |
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| 7 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.3.1 | 33 | 398 | 3 | 0 | 2025-12-29 |
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| 8 | [导出为 Word-支持公式、流程图、表格和代码块](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.1 | 15 | 752 | 7 | 1 | 2026-01-05 |
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| 3 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.0 | 112 | 1237 | 5 | 9 | 2025-12-31 |
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||||
| 4 | [Flash Card ](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 76 | 1429 | 8 | 5 | 2026-01-03 |
|
||||
| 5 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.3.2 | 65 | 917 | 6 | 8 | 2026-01-03 |
|
||||
| 6 | [Export to Word (Enhanced Formatting)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.0 | 51 | 508 | 5 | 4 | 2026-01-05 |
|
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| 7 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.3.1 | 33 | 402 | 3 | 0 | 2025-12-29 |
|
||||
| 8 | [导出为 Word-支持公式、流程图、表格和代码块](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.1 | 16 | 756 | 7 | 1 | 2026-01-05 |
|
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| 9 | [智能生成交互式思维导图,帮助用户可视化知识](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 | 0.8.0 | 14 | 249 | 2 | 1 | 2025-12-31 |
|
||||
| 10 | [闪记卡生成插件](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.2 | 12 | 309 | 3 | 1 | 2025-12-31 |
|
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| 11 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.0 | 5 | 111 | 2 | 1 | 2025-12-31 |
|
||||
| 10 | [闪记卡生成插件](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.2 | 12 | 310 | 3 | 1 | 2025-12-31 |
|
||||
| 11 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.0 | 5 | 112 | 2 | 1 | 2025-12-31 |
|
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@@ -1,7 +1,7 @@
|
||||
{
|
||||
"total_posts": 11,
|
||||
"total_downloads": 794,
|
||||
"total_views": 8481,
|
||||
"total_downloads": 797,
|
||||
"total_views": 8536,
|
||||
"total_upvotes": 54,
|
||||
"total_downvotes": 1,
|
||||
"total_saves": 48,
|
||||
@@ -15,16 +15,16 @@
|
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"title": "Turn Any Text into Beautiful Mind Maps",
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"slug": "turn_any_text_into_beautiful_mind_maps_3094c59a",
|
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"type": "action",
|
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"version": "0.8.2",
|
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"version": "0.9.1",
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"author": "Fu-Jie",
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"description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
|
||||
"downloads": 240,
|
||||
"views": 2133,
|
||||
"downloads": 242,
|
||||
"views": 2157,
|
||||
"upvotes": 10,
|
||||
"saves": 15,
|
||||
"comments": 8,
|
||||
"created_at": "2025-12-30",
|
||||
"updated_at": "2026-01-03",
|
||||
"updated_at": "2026-01-06",
|
||||
"url": "https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a"
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},
|
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{
|
||||
@@ -51,7 +51,7 @@
|
||||
"author": "Fu-Jie",
|
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"description": "This filter automatically compresses long conversation contexts by intelligently summarizing and removing intermediate messages while preserving critical information, thereby significantly reducing token consumption.",
|
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"downloads": 112,
|
||||
"views": 1236,
|
||||
"views": 1237,
|
||||
"upvotes": 5,
|
||||
"saves": 9,
|
||||
"comments": 0,
|
||||
@@ -67,7 +67,7 @@
|
||||
"author": "Fu-Jie",
|
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"description": "Quickly generates beautiful flashcards from text, extracting key points and categories.",
|
||||
"downloads": 76,
|
||||
"views": 1421,
|
||||
"views": 1429,
|
||||
"upvotes": 8,
|
||||
"saves": 5,
|
||||
"comments": 2,
|
||||
@@ -83,7 +83,7 @@
|
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"author": "jeff",
|
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"description": "AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.",
|
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"downloads": 65,
|
||||
"views": 909,
|
||||
"views": 917,
|
||||
"upvotes": 6,
|
||||
"saves": 8,
|
||||
"comments": 2,
|
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@@ -99,7 +99,7 @@
|
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"author": "Fu-Jie",
|
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"description": "Export the current conversation to a formatted Word doc with syntax highlighting, AI-generated titles, and perfect Markdown rendering (tables, quotes, lists).",
|
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"downloads": 51,
|
||||
"views": 504,
|
||||
"views": 508,
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||||
"upvotes": 5,
|
||||
"saves": 4,
|
||||
"comments": 0,
|
||||
@@ -115,7 +115,7 @@
|
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"author": "jeff",
|
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"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。",
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"downloads": 33,
|
||||
"views": 398,
|
||||
"views": 402,
|
||||
"upvotes": 3,
|
||||
"saves": 0,
|
||||
"comments": 0,
|
||||
@@ -130,8 +130,8 @@
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"version": "0.4.1",
|
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"author": "Fu-Jie",
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"description": "将当前对话内容从 Markdown 转换并导出为 Word (.docx) 文件,支持中英文无乱码。",
|
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"downloads": 15,
|
||||
"views": 752,
|
||||
"downloads": 16,
|
||||
"views": 756,
|
||||
"upvotes": 7,
|
||||
"saves": 1,
|
||||
"comments": 1,
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||||
@@ -163,7 +163,7 @@
|
||||
"author": "Fu-Jie",
|
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"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": 309,
|
||||
"views": 310,
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||||
"upvotes": 3,
|
||||
"saves": 1,
|
||||
"comments": 0,
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||||
@@ -179,7 +179,7 @@
|
||||
"author": "Fu-Jie",
|
||||
"description": "在 LLM 响应完成后进行上下文摘要和压缩",
|
||||
"downloads": 5,
|
||||
"views": 111,
|
||||
"views": 112,
|
||||
"upvotes": 2,
|
||||
"saves": 1,
|
||||
"comments": 0,
|
||||
|
||||
@@ -1,14 +1,14 @@
|
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# 📊 OpenWebUI 社区统计报告
|
||||
|
||||
> 📅 更新时间: 2026-01-06 21:19
|
||||
> 📅 更新时间: 2026-01-06 22:09
|
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|
||||
## 📈 总览
|
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|
||||
| 指标 | 数值 |
|
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|------|------|
|
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| 📝 发布数量 | 11 |
|
||||
| ⬇️ 总下载量 | 794 |
|
||||
| 👁️ 总浏览量 | 8481 |
|
||||
| ⬇️ 总下载量 | 797 |
|
||||
| 👁️ 总浏览量 | 8536 |
|
||||
| 👍 总点赞数 | 54 |
|
||||
| 💾 总收藏数 | 48 |
|
||||
| 💬 总评论数 | 13 |
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@@ -22,14 +22,14 @@
|
||||
|
||||
| 排名 | 标题 | 类型 | 版本 | 下载 | 浏览 | 点赞 | 收藏 | 更新日期 |
|
||||
|:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
|
||||
| 1 | [Turn Any Text into Beautiful Mind Maps](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.8.2 | 240 | 2133 | 10 | 15 | 2026-01-03 |
|
||||
| 1 | [Turn Any Text into Beautiful Mind Maps](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 242 | 2157 | 10 | 15 | 2026-01-06 |
|
||||
| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.6 | 171 | 459 | 3 | 3 | 2026-01-03 |
|
||||
| 3 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.0 | 112 | 1236 | 5 | 9 | 2025-12-31 |
|
||||
| 4 | [Flash Card ](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 76 | 1421 | 8 | 5 | 2026-01-03 |
|
||||
| 5 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.3.2 | 65 | 909 | 6 | 8 | 2026-01-03 |
|
||||
| 6 | [Export to Word (Enhanced Formatting)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.0 | 51 | 504 | 5 | 4 | 2026-01-05 |
|
||||
| 7 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.3.1 | 33 | 398 | 3 | 0 | 2025-12-29 |
|
||||
| 8 | [导出为 Word-支持公式、流程图、表格和代码块](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.1 | 15 | 752 | 7 | 1 | 2026-01-05 |
|
||||
| 3 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.0 | 112 | 1237 | 5 | 9 | 2025-12-31 |
|
||||
| 4 | [Flash Card ](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 76 | 1429 | 8 | 5 | 2026-01-03 |
|
||||
| 5 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.3.2 | 65 | 917 | 6 | 8 | 2026-01-03 |
|
||||
| 6 | [Export to Word (Enhanced Formatting)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.0 | 51 | 508 | 5 | 4 | 2026-01-05 |
|
||||
| 7 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.3.1 | 33 | 402 | 3 | 0 | 2025-12-29 |
|
||||
| 8 | [导出为 Word-支持公式、流程图、表格和代码块](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.1 | 16 | 756 | 7 | 1 | 2026-01-05 |
|
||||
| 9 | [智能生成交互式思维导图,帮助用户可视化知识](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 | 0.8.0 | 14 | 249 | 2 | 1 | 2025-12-31 |
|
||||
| 10 | [闪记卡生成插件](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.2 | 12 | 309 | 3 | 1 | 2025-12-31 |
|
||||
| 11 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.0 | 5 | 111 | 2 | 1 | 2025-12-31 |
|
||||
| 10 | [闪记卡生成插件](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.2 | 12 | 310 | 3 | 1 | 2025-12-31 |
|
||||
| 11 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.0 | 5 | 112 | 2 | 1 | 2025-12-31 |
|
||||
|
||||
@@ -33,7 +33,7 @@ Actions are interactive plugins that:
|
||||
|
||||
Transform text into professional infographics using AntV visualization engine with various templates.
|
||||
|
||||
**Version:** 1.3.0
|
||||
**Version:** 1.4.0
|
||||
|
||||
[:octicons-arrow-right-24: Documentation](smart-infographic.md)
|
||||
|
||||
|
||||
@@ -33,7 +33,7 @@ Actions 是交互式插件,能够:
|
||||
|
||||
使用 AntV 可视化引擎,将文本转成专业的信息图。
|
||||
|
||||
**版本:** 1.3.0
|
||||
**版本:** 1.4.0
|
||||
|
||||
[:octicons-arrow-right-24: 查看文档](smart-infographic.md)
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
# Smart Infographic
|
||||
|
||||
<span class="category-badge action">Action</span>
|
||||
<span class="version-badge">v1.3.0</span>
|
||||
<span class="version-badge">v1.4.0</span>
|
||||
|
||||
An AntV Infographic engine powered plugin that transforms long text into professional, beautiful infographics with a single click.
|
||||
|
||||
@@ -19,6 +19,8 @@ The Smart Infographic plugin uses AI to analyze text content and generate profes
|
||||
- :material-download: **Multi-Format Export**: Download your infographics as **SVG**, **PNG**, or **Standalone HTML** file
|
||||
- :material-theme-light-dark: **Theme Support**: Supports Dark/Light modes, auto-adapts theme colors
|
||||
- :material-cellphone-link: **Responsive Design**: Generated charts look great on both desktop and mobile devices
|
||||
- :material-image: **Image Embedding**: Option to embed charts as static images for better compatibility
|
||||
- :material-monitor-screenshot: **Adaptive Sizing**: Images automatically adapt to the chat container width
|
||||
|
||||
---
|
||||
|
||||
@@ -60,6 +62,7 @@ The Smart Infographic plugin uses AI to analyze text content and generate profes
|
||||
| `MIN_TEXT_LENGTH` | integer | `100` | Minimum characters required to trigger analysis |
|
||||
| `CLEAR_PREVIOUS_HTML` | boolean | `false` | Whether to clear previous charts |
|
||||
| `MESSAGE_COUNT` | integer | `1` | Number of recent messages to use for analysis |
|
||||
| `OUTPUT_MODE` | string | `html` | `html` for interactive chart (default), `image` for static image embedding |
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
# Smart Infographic(智能信息图)
|
||||
|
||||
<span class="category-badge action">Action</span>
|
||||
<span class="version-badge">v1.0.0</span>
|
||||
<span class="version-badge">v1.4.0</span>
|
||||
|
||||
基于 AntV 信息图引擎,将长文本一键转成专业、美观的信息图。
|
||||
|
||||
@@ -19,6 +19,8 @@ Smart Infographic 使用 AI 分析文本,并基于 AntV 可视化引擎生成
|
||||
- :material-download: **多格式导出**:支持下载 **SVG**、**PNG**、**独立 HTML**
|
||||
- :material-theme-light-dark: **主题支持**:适配深色/浅色模式
|
||||
- :material-cellphone-link: **响应式**:桌面与移动端都能良好展示
|
||||
- :material-image: **图片嵌入**:支持将图表作为静态图片嵌入,兼容性更好
|
||||
- :material-monitor-screenshot: **自适应尺寸**:图片模式下自动适应聊天容器宽度
|
||||
|
||||
---
|
||||
|
||||
@@ -60,6 +62,7 @@ Smart Infographic 使用 AI 分析文本,并基于 AntV 可视化引擎生成
|
||||
| `MIN_TEXT_LENGTH` | integer | `100` | 触发分析的最小字符数 |
|
||||
| `CLEAR_PREVIOUS_HTML` | boolean | `false` | 是否清空之前生成的图表 |
|
||||
| `MESSAGE_COUNT` | integer | `1` | 参与分析的最近消息条数 |
|
||||
| `OUTPUT_MODE` | string | `html` | `html` 为交互式图表(默认),`image` 为静态图片嵌入 |
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -38,6 +38,7 @@ You can adjust the following parameters in the plugin settings to optimize the g
|
||||
| **Min Text Length (MIN_TEXT_LENGTH)** | `100` | Minimum characters required to trigger analysis, preventing accidental triggers on short text. |
|
||||
| **Clear Previous (CLEAR_PREVIOUS_HTML)** | `False` | Whether to clear previous charts. If `False`, new charts will be appended below. |
|
||||
| **Message Count (MESSAGE_COUNT)** | `1` | Number of recent messages to use for analysis. Increase this for more context. |
|
||||
| **Output Mode (OUTPUT_MODE)** | `html` | `html` for interactive chart (default), `image` for static image embedding (useful for mobile/non-html clients). |
|
||||
|
||||
## 📝 Syntax Example (For Advanced Users)
|
||||
|
||||
@@ -66,6 +67,12 @@ MIT License
|
||||
|
||||
## Changelog
|
||||
|
||||
### v1.4.0
|
||||
|
||||
- ✨ Added **Image Output Mode**: Support embedding infographics as static images (SVG) for better compatibility.
|
||||
- 📱 Added **Responsive Sizing**: Images now auto-adapt to the chat container width.
|
||||
- 🔧 Added `OUTPUT_MODE` valve configuration.
|
||||
|
||||
### v1.3.2
|
||||
|
||||
- Removed debug messages from output
|
||||
|
||||
@@ -38,6 +38,7 @@
|
||||
| **最小文本长度 (MIN_TEXT_LENGTH)** | `100` | 触发分析所需的最小字符数,防止对过短的对话误操作。 |
|
||||
| **清除旧结果 (CLEAR_PREVIOUS_HTML)** | `False` | 每次生成是否清除之前的图表。若为 `False`,新图表将追加在下方。 |
|
||||
| **上下文消息数 (MESSAGE_COUNT)** | `1` | 用于分析的最近消息条数。增加此值可让 AI 参考更多对话背景。 |
|
||||
| **输出模式 (OUTPUT_MODE)** | `html` | `html` 为交互式图表(默认),`image` 为静态图片嵌入(适合移动端或不支持 HTML 的客户端)。 |
|
||||
|
||||
## 📝 语法示例 (高级用户)
|
||||
|
||||
@@ -66,6 +67,12 @@ MIT License
|
||||
|
||||
## 更新日志
|
||||
|
||||
### v1.4.0
|
||||
|
||||
- ✨ 新增 **图片输出模式**:支持将信息图作为静态图片 (SVG) 嵌入,兼容性更好。
|
||||
- 📱 新增 **响应式尺寸**:图片模式下自动适应聊天容器宽度。
|
||||
- 🔧 新增 `OUTPUT_MODE` 配置项。
|
||||
|
||||
### v1.3.2
|
||||
|
||||
- 移除输出中的调试信息
|
||||
|
||||
@@ -3,12 +3,12 @@ title: 📊 Smart Infographic (AntV)
|
||||
author: jeff
|
||||
author_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||
icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPgogIDxsaW5lIHgxPSIxMiIgeTE9IjIwIiB4Mj0iMTIiIHkyPSIxMCIgLz4KICA8bGluZSB4MT0iMTgiIHkxPSIyMCIgeDI9IjE4IiB5Mj0iNCIgLz4KICA8bGluZSB4MT0iNiIgeTE9IjIwIiB4Mj0iNiIgeTI9IjE2IiAvPgo8L3N2Zz4=
|
||||
version: 1.3.2
|
||||
version: 1.4.0
|
||||
description: AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.
|
||||
"""
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
from typing import Optional, Dict, Any
|
||||
from typing import Optional, Dict, Any, Callable, Awaitable
|
||||
import logging
|
||||
import time
|
||||
import re
|
||||
@@ -821,10 +821,54 @@ class Action:
|
||||
default=1,
|
||||
description="Number of recent messages to use for generation. Set to 1 for just the last message, or higher for more context.",
|
||||
)
|
||||
OUTPUT_MODE: str = Field(
|
||||
default="html",
|
||||
description="Output mode: 'html' for interactive HTML (default), or 'image' to embed as Markdown image.",
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
self.valves = self.Valves()
|
||||
|
||||
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 _extract_message_id(self, body: dict, metadata: Optional[dict]) -> str:
|
||||
"""Extract message_id from body or metadata"""
|
||||
if isinstance(body, dict):
|
||||
message_id = body.get("id")
|
||||
if isinstance(message_id, str) and message_id.strip():
|
||||
return message_id.strip()
|
||||
|
||||
body_metadata = body.get("metadata", {})
|
||||
if isinstance(body_metadata, dict):
|
||||
message_id = body_metadata.get("message_id")
|
||||
if isinstance(message_id, str) and message_id.strip():
|
||||
return message_id.strip()
|
||||
|
||||
if isinstance(metadata, dict):
|
||||
message_id = metadata.get("message_id")
|
||||
if isinstance(message_id, str) and message_id.strip():
|
||||
return message_id.strip()
|
||||
|
||||
return ""
|
||||
|
||||
def _extract_infographic_syntax(self, llm_output: str) -> str:
|
||||
"""Extract infographic syntax from LLM output"""
|
||||
match = re.search(r"```infographic\s*(.*?)\s*```", llm_output, re.DOTALL)
|
||||
@@ -912,14 +956,332 @@ class Action:
|
||||
|
||||
return base_html.strip()
|
||||
|
||||
def _generate_image_js_code(
|
||||
self,
|
||||
unique_id: str,
|
||||
chat_id: str,
|
||||
message_id: str,
|
||||
infographic_syntax: str,
|
||||
) -> str:
|
||||
"""Generate JavaScript code for frontend SVG rendering and image embedding"""
|
||||
|
||||
# Escape the syntax for JS embedding
|
||||
syntax_escaped = (
|
||||
infographic_syntax.replace("\\", "\\\\")
|
||||
.replace("`", "\\`")
|
||||
.replace("${", "\\${")
|
||||
.replace("</script>", "<\\/script>")
|
||||
)
|
||||
|
||||
return f"""
|
||||
(async function() {{
|
||||
const uniqueId = "{unique_id}";
|
||||
const chatId = "{chat_id}";
|
||||
const messageId = "{message_id}";
|
||||
const defaultWidth = 1200;
|
||||
const defaultHeight = 800;
|
||||
|
||||
// Auto-detect chat container width for responsive sizing
|
||||
let svgWidth = defaultWidth;
|
||||
let svgHeight = defaultHeight;
|
||||
const chatContainer = document.getElementById('chat-container');
|
||||
if (chatContainer) {{
|
||||
const containerWidth = chatContainer.clientWidth;
|
||||
if (containerWidth > 100) {{
|
||||
// Use container width with some padding (90% of container)
|
||||
svgWidth = Math.floor(containerWidth * 0.9);
|
||||
// Maintain aspect ratio based on default dimensions
|
||||
svgHeight = Math.floor(svgWidth * (defaultHeight / defaultWidth));
|
||||
console.log("[Infographic Image] Auto-detected container width:", containerWidth, "-> SVG:", svgWidth, "x", svgHeight);
|
||||
}}
|
||||
}}
|
||||
|
||||
console.log("[Infographic Image] Starting render...");
|
||||
console.log("[Infographic Image] chatId:", chatId, "messageId:", messageId);
|
||||
|
||||
try {{
|
||||
// Load AntV Infographic if not loaded
|
||||
if (typeof AntVInfographic === 'undefined') {{
|
||||
console.log("[Infographic Image] Loading AntV Infographic...");
|
||||
await new Promise((resolve, reject) => {{
|
||||
const script = document.createElement('script');
|
||||
script.src = 'https://unpkg.com/@antv/infographic@latest/dist/infographic.min.js';
|
||||
script.onload = resolve;
|
||||
script.onerror = reject;
|
||||
document.head.appendChild(script);
|
||||
}});
|
||||
}}
|
||||
|
||||
const {{ Infographic }} = AntVInfographic;
|
||||
|
||||
// Get syntax content
|
||||
let syntaxContent = `{syntax_escaped}`;
|
||||
console.log("[Infographic Image] Syntax length:", syntaxContent.length);
|
||||
|
||||
// Clean up syntax: remove code block markers
|
||||
const backtick = String.fromCharCode(96);
|
||||
const prefix = backtick + backtick + backtick + 'infographic';
|
||||
const simplePrefix = backtick + backtick + backtick;
|
||||
|
||||
if (syntaxContent.toLowerCase().startsWith(prefix)) {{
|
||||
syntaxContent = syntaxContent.substring(prefix.length).trim();
|
||||
}} else if (syntaxContent.startsWith(simplePrefix)) {{
|
||||
syntaxContent = syntaxContent.substring(simplePrefix.length).trim();
|
||||
}}
|
||||
|
||||
if (syntaxContent.endsWith(simplePrefix)) {{
|
||||
syntaxContent = syntaxContent.substring(0, syntaxContent.length - simplePrefix.length).trim();
|
||||
}}
|
||||
|
||||
// Fix syntax: remove colons after keywords
|
||||
syntaxContent = syntaxContent.replace(/^(data|items|children|theme|config):/gm, '$1');
|
||||
syntaxContent = syntaxContent.replace(/(\\s)(children|items):/g, '$1$2');
|
||||
|
||||
// Ensure infographic prefix
|
||||
if (!syntaxContent.trim().toLowerCase().startsWith('infographic')) {{
|
||||
const firstWord = syntaxContent.trim().split(/\\s+/)[0].toLowerCase();
|
||||
if (!['data', 'theme', 'design', 'items'].includes(firstWord)) {{
|
||||
syntaxContent = 'infographic ' + syntaxContent;
|
||||
}}
|
||||
}}
|
||||
|
||||
// Template mapping
|
||||
const TEMPLATE_MAPPING = {{
|
||||
'list-grid': 'list-grid-compact-card',
|
||||
'list-vertical': 'list-column-simple-vertical-arrow',
|
||||
'tree-vertical': 'hierarchy-tree-tech-style-capsule-item',
|
||||
'tree-horizontal': 'hierarchy-tree-lr-tech-style-capsule-item',
|
||||
'mindmap': 'hierarchy-mindmap-branch-gradient-capsule-item',
|
||||
'sequence-roadmap': 'sequence-roadmap-vertical-simple',
|
||||
'sequence-zigzag': 'sequence-horizontal-zigzag-simple',
|
||||
'sequence-horizontal': 'sequence-horizontal-zigzag-simple',
|
||||
'relation-sankey': 'relation-sankey-simple',
|
||||
'relation-circle': 'relation-circle-icon-badge',
|
||||
'compare-binary': 'compare-binary-horizontal-simple-vs',
|
||||
'compare-swot': 'compare-swot',
|
||||
'quadrant-quarter': 'quadrant-quarter-simple-card',
|
||||
'statistic-card': 'list-grid-compact-card',
|
||||
'chart-bar': 'chart-bar-plain-text',
|
||||
'chart-column': 'chart-column-simple',
|
||||
'chart-line': 'chart-line-plain-text',
|
||||
'chart-area': 'chart-area-simple',
|
||||
'chart-pie': 'chart-pie-plain-text',
|
||||
'chart-doughnut': 'chart-pie-donut-plain-text'
|
||||
}};
|
||||
|
||||
for (const [key, value] of Object.entries(TEMPLATE_MAPPING)) {{
|
||||
const regex = new RegExp(`infographic\\\\s+${{key}}(?=\\\\s|$)`, 'i');
|
||||
if (regex.test(syntaxContent)) {{
|
||||
syntaxContent = syntaxContent.replace(regex, `infographic ${{value}}`);
|
||||
break;
|
||||
}}
|
||||
}}
|
||||
|
||||
// Create offscreen container
|
||||
const container = document.createElement('div');
|
||||
container.id = 'infographic-offscreen-' + uniqueId;
|
||||
container.style.cssText = 'position:absolute;left:-9999px;top:-9999px;width:' + svgWidth + 'px;height:' + svgHeight + 'px;background:#ffffff;';
|
||||
document.body.appendChild(container);
|
||||
|
||||
// Create infographic instance
|
||||
const instance = new Infographic({{
|
||||
container: '#' + container.id,
|
||||
width: svgWidth,
|
||||
height: svgHeight,
|
||||
padding: 24,
|
||||
}});
|
||||
|
||||
console.log("[Infographic Image] Rendering infographic...");
|
||||
instance.render(syntaxContent);
|
||||
|
||||
// Wait for render to complete
|
||||
await new Promise(resolve => setTimeout(resolve, 2000));
|
||||
|
||||
// Get SVG element
|
||||
const svgEl = container.querySelector('svg');
|
||||
if (!svgEl) {{
|
||||
throw new Error('SVG element not found after rendering');
|
||||
}}
|
||||
|
||||
// Get actual dimensions
|
||||
const bbox = svgEl.getBoundingClientRect();
|
||||
const width = bbox.width || svgWidth;
|
||||
const height = bbox.height || svgHeight;
|
||||
|
||||
// Clone and prepare SVG for export
|
||||
const clonedSvg = svgEl.cloneNode(true);
|
||||
clonedSvg.setAttribute('xmlns', 'http://www.w3.org/2000/svg');
|
||||
clonedSvg.setAttribute('xmlns:xlink', 'http://www.w3.org/1999/xlink');
|
||||
clonedSvg.setAttribute('width', width);
|
||||
clonedSvg.setAttribute('height', height);
|
||||
|
||||
// Add background rect
|
||||
const bgRect = document.createElementNS('http://www.w3.org/2000/svg', 'rect');
|
||||
bgRect.setAttribute('width', '100%');
|
||||
bgRect.setAttribute('height', '100%');
|
||||
bgRect.setAttribute('fill', '#ffffff');
|
||||
clonedSvg.insertBefore(bgRect, clonedSvg.firstChild);
|
||||
|
||||
// Serialize SVG to string
|
||||
const svgData = new XMLSerializer().serializeToString(clonedSvg);
|
||||
|
||||
// Cleanup container
|
||||
document.body.removeChild(container);
|
||||
|
||||
// Convert SVG string to Blob
|
||||
const blob = new Blob([svgData], {{ type: 'image/svg+xml' }});
|
||||
const file = new File([blob], `infographic-${{uniqueId}}.svg`, {{ type: 'image/svg+xml' }});
|
||||
|
||||
// Upload file to OpenWebUI API
|
||||
console.log("[Infographic Image] Uploading SVG file...");
|
||||
const token = localStorage.getItem("token");
|
||||
const formData = new FormData();
|
||||
formData.append('file', file);
|
||||
|
||||
const uploadResponse = await fetch('/api/v1/files/', {{
|
||||
method: 'POST',
|
||||
headers: {{
|
||||
'Authorization': `Bearer ${{token}}`
|
||||
}},
|
||||
body: formData
|
||||
}});
|
||||
|
||||
if (!uploadResponse.ok) {{
|
||||
throw new Error(`Upload failed: ${{uploadResponse.statusText}}`);
|
||||
}}
|
||||
|
||||
const fileData = await uploadResponse.json();
|
||||
const fileId = fileData.id;
|
||||
const imageUrl = `/api/v1/files/${{fileId}}/content`;
|
||||
|
||||
console.log("[Infographic Image] File uploaded, ID:", fileId);
|
||||
|
||||
// Generate markdown image with file URL
|
||||
const markdownImage = ``;
|
||||
|
||||
// Update message via API
|
||||
if (chatId && messageId) {{
|
||||
|
||||
// Helper function with retry logic
|
||||
const fetchWithRetry = async (url, options, retries = 3) => {{
|
||||
for (let i = 0; i < retries; i++) {{
|
||||
try {{
|
||||
const response = await fetch(url, options);
|
||||
if (response.ok) return response;
|
||||
if (i < retries - 1) {{
|
||||
console.log(`[Infographic Image] Retry ${{i + 1}}/${{retries}} for ${{url}}`);
|
||||
await new Promise(r => setTimeout(r, 1000 * (i + 1)));
|
||||
}}
|
||||
}} catch (e) {{
|
||||
if (i === retries - 1) throw e;
|
||||
await new Promise(r => setTimeout(r, 1000 * (i + 1)));
|
||||
}}
|
||||
}}
|
||||
return null;
|
||||
}};
|
||||
|
||||
// Get current chat data
|
||||
const getResponse = await fetch(`/api/v1/chats/${{chatId}}`, {{
|
||||
method: "GET",
|
||||
headers: {{ "Authorization": `Bearer ${{token}}` }}
|
||||
}});
|
||||
|
||||
if (!getResponse.ok) {{
|
||||
throw new Error("Failed to get chat data: " + getResponse.status);
|
||||
}}
|
||||
|
||||
const chatData = await getResponse.json();
|
||||
let updatedMessages = [];
|
||||
let newContent = "";
|
||||
|
||||
if (chatData.chat && chatData.chat.messages) {{
|
||||
updatedMessages = chatData.chat.messages.map(m => {{
|
||||
if (m.id === messageId) {{
|
||||
const originalContent = m.content || "";
|
||||
// Remove existing infographic images
|
||||
const infographicPattern = /\\n*!\\[📊[^\\]]*\\]\\((?:data:image\\/[^)]+|(?:\\/api\\/v1\\/files\\/[^)]+))\\)/g;
|
||||
let cleanedContent = originalContent.replace(infographicPattern, "");
|
||||
cleanedContent = cleanedContent.replace(/\\n{{3,}}/g, "\\n\\n").trim();
|
||||
// Append new image
|
||||
newContent = cleanedContent + "\\n\\n" + markdownImage;
|
||||
|
||||
// Update history object as well
|
||||
if (chatData.chat.history && chatData.chat.history.messages) {{
|
||||
if (chatData.chat.history.messages[messageId]) {{
|
||||
chatData.chat.history.messages[messageId].content = newContent;
|
||||
}}
|
||||
}}
|
||||
|
||||
return {{ ...m, content: newContent }};
|
||||
}}
|
||||
return m;
|
||||
}});
|
||||
}}
|
||||
|
||||
if (!newContent) {{
|
||||
console.warn("[Infographic Image] Could not find message to update");
|
||||
return;
|
||||
}}
|
||||
|
||||
// Try to update frontend display via event API
|
||||
try {{
|
||||
await fetch(`/api/v1/chats/${{chatId}}/messages/${{messageId}}/event`, {{
|
||||
method: "POST",
|
||||
headers: {{
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": `Bearer ${{token}}`
|
||||
}},
|
||||
body: JSON.stringify({{
|
||||
type: "chat:message",
|
||||
data: {{ content: newContent }}
|
||||
}})
|
||||
}});
|
||||
}} catch (eventErr) {{
|
||||
console.log("[Infographic Image] Event API not available, continuing...");
|
||||
}}
|
||||
|
||||
// Persist to database
|
||||
const updatePayload = {{
|
||||
chat: {{
|
||||
...chatData.chat,
|
||||
messages: updatedMessages
|
||||
}}
|
||||
}};
|
||||
|
||||
const persistResponse = await fetchWithRetry(`/api/v1/chats/${{chatId}}`, {{
|
||||
method: "POST",
|
||||
headers: {{
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": `Bearer ${{token}}`
|
||||
}},
|
||||
body: JSON.stringify(updatePayload)
|
||||
}});
|
||||
|
||||
if (persistResponse && persistResponse.ok) {{
|
||||
console.log("[Infographic Image] ✅ Message persisted successfully!");
|
||||
}} else {{
|
||||
console.error("[Infographic Image] ❌ Failed to persist message after retries");
|
||||
}}
|
||||
}} else {{
|
||||
console.warn("[Infographic Image] ⚠️ Missing chatId or messageId, cannot persist");
|
||||
}}
|
||||
|
||||
}} catch (error) {{
|
||||
console.error("[Infographic Image] Error:", error);
|
||||
}}
|
||||
}})();
|
||||
"""
|
||||
|
||||
async def action(
|
||||
self,
|
||||
body: dict,
|
||||
__user__: Optional[Dict[str, Any]] = None,
|
||||
__event_emitter__: Optional[Any] = None,
|
||||
__event_call__: Optional[Callable[[Any], Awaitable[None]]] = None,
|
||||
__metadata__: Optional[dict] = None,
|
||||
__request__: Optional[Request] = None,
|
||||
) -> Optional[dict]:
|
||||
logger.info("Action: Infographic started (v1.0.0)")
|
||||
logger.info("Action: Infographic started (v1.4.0)")
|
||||
|
||||
# Get user information
|
||||
if isinstance(__user__, (list, tuple)):
|
||||
@@ -1114,6 +1476,45 @@ class Action:
|
||||
user_language,
|
||||
)
|
||||
|
||||
# Check output mode
|
||||
if self.valves.OUTPUT_MODE == "image":
|
||||
# Image mode: use JavaScript to render and embed as Markdown image
|
||||
chat_id = self._extract_chat_id(body, body.get("metadata"))
|
||||
message_id = self._extract_message_id(body, body.get("metadata"))
|
||||
|
||||
await self._emit_status(
|
||||
__event_emitter__,
|
||||
"📊 Infographic: Rendering image...",
|
||||
False,
|
||||
)
|
||||
|
||||
if __event_call__:
|
||||
js_code = self._generate_image_js_code(
|
||||
unique_id=unique_id,
|
||||
chat_id=chat_id,
|
||||
message_id=message_id,
|
||||
infographic_syntax=infographic_syntax,
|
||||
)
|
||||
|
||||
await __event_call__(
|
||||
{
|
||||
"type": "execute",
|
||||
"data": {"code": js_code},
|
||||
}
|
||||
)
|
||||
|
||||
await self._emit_status(
|
||||
__event_emitter__, "✅ Infographic: Image generated!", True
|
||||
)
|
||||
await self._emit_notification(
|
||||
__event_emitter__,
|
||||
f"📊 Infographic image generated, {user_name}!",
|
||||
"success",
|
||||
)
|
||||
logger.info("Infographic generation completed in image mode")
|
||||
return body
|
||||
|
||||
# HTML mode (default): embed as HTML block
|
||||
html_embed_tag = f"```html\n{final_html}\n```"
|
||||
body["messages"][-1]["content"] = f"{original_content}\n\n{html_embed_tag}"
|
||||
|
||||
|
||||
@@ -3,12 +3,12 @@ title: 📊 智能信息图 (AntV Infographic)
|
||||
author: jeff
|
||||
author_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||
icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPgogIDxsaW5lIHgxPSIxMiIgeTE9IjIwIiB4Mj0iMTIiIHkyPSIxMCIgLz4KICA8bGluZSB4MT0iMTgiIHkxPSIyMCIgeDI9IjE4IiB5Mj0iNCIgLz4KICA8bGluZSB4MT0iNiIgeTE9IjIwIiB4Mj0iNiIgeTI9IjE2IiAvPgo8L3N2Zz4=
|
||||
version: 1.3.2
|
||||
version: 1.4.0
|
||||
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。
|
||||
"""
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
from typing import Optional, Dict, Any
|
||||
from typing import Optional, Dict, Any, Callable, Awaitable
|
||||
import logging
|
||||
import time
|
||||
import re
|
||||
@@ -849,6 +849,10 @@ class Action:
|
||||
default=1,
|
||||
description="用于生成的最近消息数量。设置为1仅使用最后一条消息,更大值可包含更多上下文。",
|
||||
)
|
||||
OUTPUT_MODE: str = Field(
|
||||
default="html",
|
||||
description="输出模式:'html' 为交互式HTML(默认),'image' 将嵌入为Markdown图片。",
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
self.valves = self.Valves()
|
||||
@@ -862,6 +866,46 @@ class Action:
|
||||
"Sunday": "星期日",
|
||||
}
|
||||
|
||||
def _extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
|
||||
"""从 body 或 metadata 中提取 chat_id"""
|
||||
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 _extract_message_id(self, body: dict, metadata: Optional[dict]) -> str:
|
||||
"""从 body 或 metadata 中提取 message_id"""
|
||||
if isinstance(body, dict):
|
||||
message_id = body.get("id")
|
||||
if isinstance(message_id, str) and message_id.strip():
|
||||
return message_id.strip()
|
||||
|
||||
body_metadata = body.get("metadata", {})
|
||||
if isinstance(body_metadata, dict):
|
||||
message_id = body_metadata.get("message_id")
|
||||
if isinstance(message_id, str) and message_id.strip():
|
||||
return message_id.strip()
|
||||
|
||||
if isinstance(metadata, dict):
|
||||
message_id = metadata.get("message_id")
|
||||
if isinstance(message_id, str) and message_id.strip():
|
||||
return message_id.strip()
|
||||
|
||||
return ""
|
||||
|
||||
def _extract_infographic_syntax(self, llm_output: str) -> str:
|
||||
"""提取LLM输出中的infographic语法"""
|
||||
# 1. 优先匹配 ```infographic
|
||||
@@ -973,14 +1017,332 @@ class Action:
|
||||
|
||||
return base_html.strip()
|
||||
|
||||
def _generate_image_js_code(
|
||||
self,
|
||||
unique_id: str,
|
||||
chat_id: str,
|
||||
message_id: str,
|
||||
infographic_syntax: str,
|
||||
) -> str:
|
||||
"""生成前端 SVG 渲染和图片嵌入的 JavaScript 代码"""
|
||||
|
||||
# 转义语法以便在 JS 中嵌入
|
||||
syntax_escaped = (
|
||||
infographic_syntax.replace("\\", "\\\\")
|
||||
.replace("`", "\\`")
|
||||
.replace("${", "\\${")
|
||||
.replace("</script>", "<\\/script>")
|
||||
)
|
||||
|
||||
return f"""
|
||||
(async function() {{
|
||||
const uniqueId = "{unique_id}";
|
||||
const chatId = "{chat_id}";
|
||||
const messageId = "{message_id}";
|
||||
const defaultWidth = 1200;
|
||||
const defaultHeight = 800;
|
||||
|
||||
// 自动检测聊天容器宽度以实现响应式尺寸
|
||||
let svgWidth = defaultWidth;
|
||||
let svgHeight = defaultHeight;
|
||||
const chatContainer = document.getElementById('chat-container');
|
||||
if (chatContainer) {{
|
||||
const containerWidth = chatContainer.clientWidth;
|
||||
if (containerWidth > 100) {{
|
||||
// 使用容器宽度的 90%
|
||||
svgWidth = Math.floor(containerWidth * 0.9);
|
||||
// 根据默认尺寸保持宽高比
|
||||
svgHeight = Math.floor(svgWidth * (defaultHeight / defaultWidth));
|
||||
console.log("[Infographic Image] 自动检测容器宽度:", containerWidth, "-> SVG:", svgWidth, "x", svgHeight);
|
||||
}}
|
||||
}}
|
||||
|
||||
console.log("[Infographic Image] 开始渲染...");
|
||||
console.log("[Infographic Image] chatId:", chatId, "messageId:", messageId);
|
||||
|
||||
try {{
|
||||
// 加载 AntV Infographic(如果未加载)
|
||||
if (typeof AntVInfographic === 'undefined') {{
|
||||
console.log("[Infographic Image] 加载 AntV Infographic...");
|
||||
await new Promise((resolve, reject) => {{
|
||||
const script = document.createElement('script');
|
||||
script.src = 'https://registry.npmmirror.com/@antv/infographic/0.2.1/files/dist/infographic.min.js';
|
||||
script.onload = resolve;
|
||||
script.onerror = reject;
|
||||
document.head.appendChild(script);
|
||||
}});
|
||||
}}
|
||||
|
||||
const {{ Infographic }} = AntVInfographic;
|
||||
|
||||
// 获取语法内容
|
||||
let syntaxContent = `{syntax_escaped}`;
|
||||
console.log("[Infographic Image] 语法长度:", syntaxContent.length);
|
||||
|
||||
// 清理语法:移除代码块标记
|
||||
const backtick = String.fromCharCode(96);
|
||||
const prefix = backtick + backtick + backtick + 'infographic';
|
||||
const simplePrefix = backtick + backtick + backtick;
|
||||
|
||||
if (syntaxContent.toLowerCase().startsWith(prefix)) {{
|
||||
syntaxContent = syntaxContent.substring(prefix.length).trim();
|
||||
}} else if (syntaxContent.startsWith(simplePrefix)) {{
|
||||
syntaxContent = syntaxContent.substring(simplePrefix.length).trim();
|
||||
}}
|
||||
|
||||
if (syntaxContent.endsWith(simplePrefix)) {{
|
||||
syntaxContent = syntaxContent.substring(0, syntaxContent.length - simplePrefix.length).trim();
|
||||
}}
|
||||
|
||||
// 修复语法:移除关键字后的冒号
|
||||
syntaxContent = syntaxContent.replace(/^(data|items|children|theme|config):/gm, '$1');
|
||||
syntaxContent = syntaxContent.replace(/(\\s)(children|items):/g, '$1$2');
|
||||
|
||||
// 确保 infographic 前缀
|
||||
if (!syntaxContent.trim().toLowerCase().startsWith('infographic')) {{
|
||||
const firstWord = syntaxContent.trim().split(/\\s+/)[0].toLowerCase();
|
||||
if (!['data', 'theme', 'design', 'items'].includes(firstWord)) {{
|
||||
syntaxContent = 'infographic ' + syntaxContent;
|
||||
}}
|
||||
}}
|
||||
|
||||
// 模板映射
|
||||
const TEMPLATE_MAPPING = {{
|
||||
'list-grid': 'list-grid-compact-card',
|
||||
'list-vertical': 'list-column-simple-vertical-arrow',
|
||||
'tree-vertical': 'hierarchy-tree-tech-style-capsule-item',
|
||||
'tree-horizontal': 'hierarchy-tree-lr-tech-style-capsule-item',
|
||||
'mindmap': 'hierarchy-mindmap-branch-gradient-capsule-item',
|
||||
'sequence-roadmap': 'sequence-roadmap-vertical-simple',
|
||||
'sequence-zigzag': 'sequence-horizontal-zigzag-simple',
|
||||
'sequence-horizontal': 'sequence-horizontal-zigzag-simple',
|
||||
'relation-sankey': 'relation-sankey-simple',
|
||||
'relation-circle': 'relation-circle-icon-badge',
|
||||
'compare-binary': 'compare-binary-horizontal-simple-vs',
|
||||
'compare-swot': 'compare-swot',
|
||||
'quadrant-quarter': 'quadrant-quarter-simple-card',
|
||||
'statistic-card': 'list-grid-compact-card',
|
||||
'chart-bar': 'chart-bar-plain-text',
|
||||
'chart-column': 'chart-column-simple',
|
||||
'chart-line': 'chart-line-plain-text',
|
||||
'chart-area': 'chart-area-simple',
|
||||
'chart-pie': 'chart-pie-plain-text',
|
||||
'chart-doughnut': 'chart-pie-donut-plain-text'
|
||||
}};
|
||||
|
||||
for (const [key, value] of Object.entries(TEMPLATE_MAPPING)) {{
|
||||
const regex = new RegExp(`infographic\\\\s+${{key}}(?=\\\\s|$)`, 'i');
|
||||
if (regex.test(syntaxContent)) {{
|
||||
syntaxContent = syntaxContent.replace(regex, `infographic ${{value}}`);
|
||||
break;
|
||||
}}
|
||||
}}
|
||||
|
||||
// 创建离屏容器
|
||||
const container = document.createElement('div');
|
||||
container.id = 'infographic-offscreen-' + uniqueId;
|
||||
container.style.cssText = 'position:absolute;left:-9999px;top:-9999px;width:' + svgWidth + 'px;height:' + svgHeight + 'px;background:#ffffff;';
|
||||
document.body.appendChild(container);
|
||||
|
||||
// 创建信息图实例
|
||||
const instance = new Infographic({{
|
||||
container: '#' + container.id,
|
||||
width: svgWidth,
|
||||
height: svgHeight,
|
||||
padding: 24,
|
||||
}});
|
||||
|
||||
console.log("[Infographic Image] 渲染信息图...");
|
||||
instance.render(syntaxContent);
|
||||
|
||||
// 等待渲染完成
|
||||
await new Promise(resolve => setTimeout(resolve, 2000));
|
||||
|
||||
// 获取 SVG 元素
|
||||
const svgEl = container.querySelector('svg');
|
||||
if (!svgEl) {{
|
||||
throw new Error('渲染后未找到 SVG 元素');
|
||||
}}
|
||||
|
||||
// 获取实际尺寸
|
||||
const bbox = svgEl.getBoundingClientRect();
|
||||
const width = bbox.width || svgWidth;
|
||||
const height = bbox.height || svgHeight;
|
||||
|
||||
// 克隆并准备导出的 SVG
|
||||
const clonedSvg = svgEl.cloneNode(true);
|
||||
clonedSvg.setAttribute('xmlns', 'http://www.w3.org/2000/svg');
|
||||
clonedSvg.setAttribute('xmlns:xlink', 'http://www.w3.org/1999/xlink');
|
||||
clonedSvg.setAttribute('width', width);
|
||||
clonedSvg.setAttribute('height', height);
|
||||
|
||||
// 添加背景矩形
|
||||
const bgRect = document.createElementNS('http://www.w3.org/2000/svg', 'rect');
|
||||
bgRect.setAttribute('width', '100%');
|
||||
bgRect.setAttribute('height', '100%');
|
||||
bgRect.setAttribute('fill', '#ffffff');
|
||||
clonedSvg.insertBefore(bgRect, clonedSvg.firstChild);
|
||||
|
||||
// 序列化 SVG 为字符串
|
||||
const svgData = new XMLSerializer().serializeToString(clonedSvg);
|
||||
|
||||
// 清理容器
|
||||
document.body.removeChild(container);
|
||||
|
||||
// 将 SVG 字符串转换为 Blob
|
||||
const blob = new Blob([svgData], {{ type: 'image/svg+xml' }});
|
||||
const file = new File([blob], `infographic-${{uniqueId}}.svg`, {{ type: 'image/svg+xml' }});
|
||||
|
||||
// 上传文件到 OpenWebUI API
|
||||
console.log("[Infographic Image] 上传 SVG 文件...");
|
||||
const token = localStorage.getItem("token");
|
||||
const formData = new FormData();
|
||||
formData.append('file', file);
|
||||
|
||||
const uploadResponse = await fetch('/api/v1/files/', {{
|
||||
method: 'POST',
|
||||
headers: {{
|
||||
'Authorization': `Bearer ${{token}}`
|
||||
}},
|
||||
body: formData
|
||||
}});
|
||||
|
||||
if (!uploadResponse.ok) {{
|
||||
throw new Error(`上传失败: ${{uploadResponse.statusText}}`);
|
||||
}}
|
||||
|
||||
const fileData = await uploadResponse.json();
|
||||
const fileId = fileData.id;
|
||||
const imageUrl = `/api/v1/files/${{fileId}}/content`;
|
||||
|
||||
console.log("[Infographic Image] 文件已上传, ID:", fileId);
|
||||
|
||||
// 生成带文件 URL 的 markdown 图片
|
||||
const markdownImage = ``;
|
||||
|
||||
// 通过 API 更新消息
|
||||
if (chatId && messageId) {{
|
||||
|
||||
// 带重试逻辑的辅助函数
|
||||
const fetchWithRetry = async (url, options, retries = 3) => {{
|
||||
for (let i = 0; i < retries; i++) {{
|
||||
try {{
|
||||
const response = await fetch(url, options);
|
||||
if (response.ok) return response;
|
||||
if (i < retries - 1) {{
|
||||
console.log(`[Infographic Image] 重试 ${{i + 1}}/${{retries}} for ${{url}}`);
|
||||
await new Promise(r => setTimeout(r, 1000 * (i + 1)));
|
||||
}}
|
||||
}} catch (e) {{
|
||||
if (i === retries - 1) throw e;
|
||||
await new Promise(r => setTimeout(r, 1000 * (i + 1)));
|
||||
}}
|
||||
}}
|
||||
return null;
|
||||
}};
|
||||
|
||||
// 获取当前聊天数据
|
||||
const getResponse = await fetch(`/api/v1/chats/${{chatId}}`, {{
|
||||
method: "GET",
|
||||
headers: {{ "Authorization": `Bearer ${{token}}` }}
|
||||
}});
|
||||
|
||||
if (!getResponse.ok) {{
|
||||
throw new Error("获取聊天数据失败: " + getResponse.status);
|
||||
}}
|
||||
|
||||
const chatData = await getResponse.json();
|
||||
let updatedMessages = [];
|
||||
let newContent = "";
|
||||
|
||||
if (chatData.chat && chatData.chat.messages) {{
|
||||
updatedMessages = chatData.chat.messages.map(m => {{
|
||||
if (m.id === messageId) {{
|
||||
const originalContent = m.content || "";
|
||||
// 移除已有的信息图图片
|
||||
const infographicPattern = /\\n*!\\[📊[^\\]]*\\]\\((?:data:image\\/[^)]+|(?:\\/api\\/v1\\/files\\/[^)]+))\\)/g;
|
||||
let cleanedContent = originalContent.replace(infographicPattern, "");
|
||||
cleanedContent = cleanedContent.replace(/\\n{{3,}}/g, "\\n\\n").trim();
|
||||
// 追加新图片
|
||||
newContent = cleanedContent + "\\n\\n" + markdownImage;
|
||||
|
||||
// 同时更新 history 对象
|
||||
if (chatData.chat.history && chatData.chat.history.messages) {{
|
||||
if (chatData.chat.history.messages[messageId]) {{
|
||||
chatData.chat.history.messages[messageId].content = newContent;
|
||||
}}
|
||||
}}
|
||||
|
||||
return {{ ...m, content: newContent }};
|
||||
}}
|
||||
return m;
|
||||
}});
|
||||
}}
|
||||
|
||||
if (!newContent) {{
|
||||
console.warn("[Infographic Image] 找不到要更新的消息");
|
||||
return;
|
||||
}}
|
||||
|
||||
// 尝试通过事件 API 更新前端显示
|
||||
try {{
|
||||
await fetch(`/api/v1/chats/${{chatId}}/messages/${{messageId}}/event`, {{
|
||||
method: "POST",
|
||||
headers: {{
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": `Bearer ${{token}}`
|
||||
}},
|
||||
body: JSON.stringify({{
|
||||
type: "chat:message",
|
||||
data: {{ content: newContent }}
|
||||
}})
|
||||
}});
|
||||
}} catch (eventErr) {{
|
||||
console.log("[Infographic Image] 事件 API 不可用,继续...");
|
||||
}}
|
||||
|
||||
// 持久化到数据库
|
||||
const updatePayload = {{
|
||||
chat: {{
|
||||
...chatData.chat,
|
||||
messages: updatedMessages
|
||||
}}
|
||||
}};
|
||||
|
||||
const persistResponse = await fetchWithRetry(`/api/v1/chats/${{chatId}}`, {{
|
||||
method: "POST",
|
||||
headers: {{
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": `Bearer ${{token}}`
|
||||
}},
|
||||
body: JSON.stringify(updatePayload)
|
||||
}});
|
||||
|
||||
if (persistResponse && persistResponse.ok) {{
|
||||
console.log("[Infographic Image] ✅ 消息持久化成功!");
|
||||
}} else {{
|
||||
console.error("[Infographic Image] ❌ 重试后消息持久化失败");
|
||||
}}
|
||||
}} else {{
|
||||
console.warn("[Infographic Image] ⚠️ 缺少 chatId 或 messageId,无法持久化");
|
||||
}}
|
||||
|
||||
}} catch (error) {{
|
||||
console.error("[Infographic Image] 错误:", error);
|
||||
}}
|
||||
}})();
|
||||
"""
|
||||
|
||||
async def action(
|
||||
self,
|
||||
body: dict,
|
||||
__user__: Optional[Dict[str, Any]] = None,
|
||||
__event_emitter__: Optional[Any] = None,
|
||||
__event_call__: Optional[Callable[[Any], Awaitable[None]]] = None,
|
||||
__metadata__: Optional[dict] = None,
|
||||
__request__: Optional[Request] = None,
|
||||
) -> Optional[dict]:
|
||||
logger.info("Action: 信息图启动 (v1.0.0)")
|
||||
logger.info("Action: 信息图启动 (v1.4.0)")
|
||||
|
||||
# 获取用户信息
|
||||
if isinstance(__user__, (list, tuple)):
|
||||
@@ -1169,6 +1531,45 @@ class Action:
|
||||
user_language,
|
||||
)
|
||||
|
||||
# 检查输出模式
|
||||
if self.valves.OUTPUT_MODE == "image":
|
||||
# 图片模式:使用 JavaScript 渲染并嵌入为 Markdown 图片
|
||||
chat_id = self._extract_chat_id(body, body.get("metadata"))
|
||||
message_id = self._extract_message_id(body, body.get("metadata"))
|
||||
|
||||
await self._emit_status(
|
||||
__event_emitter__,
|
||||
"📊 信息图: 正在渲染图片...",
|
||||
False,
|
||||
)
|
||||
|
||||
if __event_call__:
|
||||
js_code = self._generate_image_js_code(
|
||||
unique_id=unique_id,
|
||||
chat_id=chat_id,
|
||||
message_id=message_id,
|
||||
infographic_syntax=infographic_syntax,
|
||||
)
|
||||
|
||||
await __event_call__(
|
||||
{
|
||||
"type": "execute",
|
||||
"data": {"code": js_code},
|
||||
}
|
||||
)
|
||||
|
||||
await self._emit_status(
|
||||
__event_emitter__, "✅ 信息图: 图片生成完成!", True
|
||||
)
|
||||
await self._emit_notification(
|
||||
__event_emitter__,
|
||||
f"📊 信息图图片已生成,{user_name}!",
|
||||
"success",
|
||||
)
|
||||
logger.info("信息图生成完成(图片模式)")
|
||||
return body
|
||||
|
||||
# HTML 模式(默认):嵌入为 HTML 块
|
||||
html_embed_tag = f"```html\n{final_html}\n```"
|
||||
body["messages"][-1]["content"] = f"{original_content}\n\n{html_embed_tag}"
|
||||
|
||||
|
||||
@@ -8,6 +8,25 @@ Smart Mind Map is a powerful OpenWebUI action plugin that intelligently analyzes
|
||||
|
||||
---
|
||||
|
||||
## 🔥 What's New in v0.9.1
|
||||
|
||||
**New Feature: Image Output Mode**
|
||||
|
||||
- **Static Image Support**: Added `OUTPUT_MODE` configuration parameter.
|
||||
- `html` (default): Interactive HTML mind map.
|
||||
- `image`: Static SVG image embedded directly in Markdown (**No HTML code output**, cleaner chat history).
|
||||
- **Efficient Storage**: Image mode uploads SVG to `/api/v1/files`, avoiding huge base64 strings in chat history.
|
||||
- **Smart Features**: Auto-responsive width and automatic theme detection (light/dark) for generated images.
|
||||
|
||||
| Feature | HTML Mode (Default) | Image Mode |
|
||||
| :--- | :--- | :--- |
|
||||
| **Output Format** | Interactive HTML Block | Static Markdown Image |
|
||||
| **Interactivity** | Zoom, Pan, Expand/Collapse | None (Static Image) |
|
||||
| **Chat History** | Contains HTML Code | Clean (Image URL only) |
|
||||
| **Storage** | Browser Rendering | `/api/v1/files` Upload |
|
||||
|
||||
---
|
||||
|
||||
## Core Features
|
||||
|
||||
- ✅ **Intelligent Text Analysis**: Automatically identifies core themes, key concepts, and hierarchical structures
|
||||
@@ -20,7 +39,7 @@ Smart Mind Map is a powerful OpenWebUI action plugin that intelligently analyzes
|
||||
- ✅ **Real-time Rendering**: Renders mind maps directly in the chat interface without navigation
|
||||
- ✅ **Export Capabilities**: Supports PNG, SVG code, and Markdown source export
|
||||
- ✅ **Customizable Configuration**: Configurable LLM model, minimum text length, and other parameters
|
||||
- ✅ **Image Output Mode**: Generate static SVG images embedded directly in Markdown (no interactive HTML)
|
||||
- ✅ **Image Output Mode**: Generate static SVG images embedded directly in Markdown (**No HTML code output**, cleaner chat history)
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -8,6 +8,25 @@
|
||||
|
||||
---
|
||||
|
||||
## 🔥 v0.9.1 更新亮点
|
||||
|
||||
**新功能:图片输出模式**
|
||||
|
||||
- **静态图片支持**:新增 `OUTPUT_MODE` 配置参数。
|
||||
- `html`(默认):交互式 HTML 思维导图。
|
||||
- `image`:静态 SVG 图片直接嵌入 Markdown(**不输出 HTML 代码**,聊天记录更简洁)。
|
||||
- **高效存储**:图片模式将 SVG 上传至 `/api/v1/files`,避免聊天记录中出现超长 Base64 字符串。
|
||||
- **智能特性**:生成的图片支持自动响应式宽度和自动主题检测(亮色/暗色)。
|
||||
|
||||
| 特性 | HTML 模式 (默认) | 图片模式 |
|
||||
| :--- | :--- | :--- |
|
||||
| **输出格式** | 交互式 HTML 代码块 | 静态 Markdown 图片 |
|
||||
| **交互性** | 缩放、拖拽、展开/折叠 | 无 (静态图片) |
|
||||
| **聊天记录** | 包含 HTML 代码 | 简洁 (仅图片链接) |
|
||||
| **存储方式** | 浏览器实时渲染 | `/api/v1/files` 上传 |
|
||||
|
||||
---
|
||||
|
||||
## 核心特性
|
||||
|
||||
- ✅ **智能文本分析**:自动识别文本的核心主题、关键概念和层次结构
|
||||
@@ -20,7 +39,7 @@
|
||||
- ✅ **实时渲染**:在聊天界面中直接渲染思维导图,无需跳转
|
||||
- ✅ **导出功能**:支持 PNG、SVG 代码和 Markdown 源码导出
|
||||
- ✅ **自定义配置**:可配置 LLM 模型、最小文本长度等参数
|
||||
- ✅ **图片输出模式**:生成静态 SVG 图片直接嵌入 Markdown(无交互式 HTML)
|
||||
- ✅ **图片输出模式**:生成静态 SVG 图片直接嵌入 Markdown(**不输出 HTML 代码**,聊天记录更简洁)
|
||||
|
||||
---
|
||||
|
||||
|
||||
Reference in New Issue
Block a user