feat(deep-dive): add Deep Dive / 精读 action plugin
- New thinking chain structure: Context → Logic → Insight → Path - Process-oriented timeline UI design - OpenWebUI theme auto-adaptation (light/dark) - Full markdown support (numbered lists, inline code, bold) - Bilingual support (English: Deep Dive, Chinese: 精读) - Add manual publish workflow for new plugins
This commit is contained in:
fujie
68
.github/workflows/publish_new_plugin.yml
vendored
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68
.github/workflows/publish_new_plugin.yml
vendored
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name: Publish New Plugin
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on:
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workflow_dispatch:
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inputs:
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plugin_dir:
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description: 'Plugin directory (e.g., plugins/actions/deep-dive)'
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required: true
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type: string
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dry_run:
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description: 'Dry run mode (preview only)'
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required: false
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type: boolean
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default: false
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jobs:
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publish:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.x'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install requests
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- name: Validate plugin directory
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run: |
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if [ ! -d "${{ github.event.inputs.plugin_dir }}" ]; then
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echo "❌ Error: Directory '${{ github.event.inputs.plugin_dir }}' does not exist"
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exit 1
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fi
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echo "✅ Found plugin directory: ${{ github.event.inputs.plugin_dir }}"
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ls -la "${{ github.event.inputs.plugin_dir }}"
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- name: Publish Plugin
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env:
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OPENWEBUI_API_KEY: ${{ secrets.OPENWEBUI_API_KEY }}
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run: |
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if [ "${{ github.event.inputs.dry_run }}" = "true" ]; then
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echo "🔍 Dry run mode - previewing..."
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python scripts/publish_plugin.py --new "${{ github.event.inputs.plugin_dir }}" --dry-run
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else
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echo "🚀 Publishing plugin..."
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python scripts/publish_plugin.py --new "${{ github.event.inputs.plugin_dir }}"
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fi
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- name: Commit changes (if ID was added)
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if: ${{ github.event.inputs.dry_run != 'true' }}
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run: |
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git config user.name "github-actions[bot]"
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git config user.email "github-actions[bot]@users.noreply.github.com"
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# Check if there are changes to commit
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if git diff --quiet; then
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echo "No changes to commit"
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else
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git add "${{ github.event.inputs.plugin_dir }}"
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git commit -m "feat: add openwebui_id to ${{ github.event.inputs.plugin_dir }}"
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git push
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echo "✅ Committed and pushed openwebui_id changes"
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fi
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111
docs/plugins/actions/deep-dive.md
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111
docs/plugins/actions/deep-dive.md
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# Deep Dive
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<span class="category-badge action">Action</span>
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<span class="version-badge">v1.0.0</span>
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A comprehensive thinking lens that dives deep into any content - from context to logic, insights, and action paths.
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---
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## Overview
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The Deep Dive plugin transforms how you understand complex content by guiding you through a structured thinking process. Rather than just summarizing, it deconstructs content across four phases:
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- **🔍 The Context (What?)**: Panoramic view of the situation and background
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- **🧠 The Logic (Why?)**: Deconstruction of reasoning and mental models
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- **💎 The Insight (So What?)**: Non-obvious value and hidden implications
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- **🚀 The Path (Now What?)**: Specific, prioritized strategic actions
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## Features
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- :material-brain: **Thinking Chain**: Complete structured analysis process
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- :material-eye: **Deep Understanding**: Reveals hidden assumptions and blind spots
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- :material-lightbulb-on: **Insight Extraction**: Finds the "Aha!" moments
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- :material-rocket-launch: **Action Oriented**: Translates understanding into actionable steps
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- :material-theme-light-dark: **Theme Adaptive**: Auto-adapts to OpenWebUI light/dark theme
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- :material-translate: **Multi-language**: Outputs in user's preferred language
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---
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## Installation
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1. Download the plugin file: [`deep_dive.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/deep-dive)
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2. Upload to OpenWebUI: **Admin Panel** → **Settings** → **Functions**
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3. Enable the plugin
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---
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## Usage
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1. Provide any long text, article, or meeting notes in the chat
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2. Click the **Deep Dive** button in the message action bar
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3. Follow the visual timeline from Context → Logic → Insight → Path
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---
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## Configuration
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| Option | Type | Default | Description |
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|--------|------|---------|-------------|
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| `SHOW_STATUS` | boolean | `true` | Show status updates during processing |
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| `MODEL_ID` | string | `""` | LLM model for analysis (empty = current model) |
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| `MIN_TEXT_LENGTH` | integer | `200` | Minimum text length for analysis |
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| `CLEAR_PREVIOUS_HTML` | boolean | `true` | Clear previous plugin results |
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| `MESSAGE_COUNT` | integer | `1` | Number of recent messages to analyze |
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---
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## Theme Support
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Deep Dive automatically adapts to OpenWebUI's light/dark theme:
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- Detects theme from parent document `<meta name="theme-color">` tag
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- Falls back to `html/body` class or `data-theme` attribute
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- Uses system preference `prefers-color-scheme: dark` as last resort
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!!! tip "For Best Results"
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Enable **iframe Sandbox Allow Same Origin** in OpenWebUI:
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**Settings** → **Interface** → **Artifacts** → Check **iframe Sandbox Allow Same Origin**
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---
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## Example Output
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The plugin generates a beautiful structured timeline:
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```
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┌─────────────────────────────────────┐
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│ 🌊 Deep Dive Analysis │
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│ 👤 User 📅 Date 📊 Word count │
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├─────────────────────────────────────┤
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│ 🔍 Phase 01: The Context │
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│ [High-level panoramic view] │
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│ │
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│ 🧠 Phase 02: The Logic │
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│ • Reasoning structure... │
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│ • Hidden assumptions... │
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│ │
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│ 💎 Phase 03: The Insight │
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│ • Non-obvious value... │
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│ • Blind spots revealed... │
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│ │
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│ 🚀 Phase 04: The Path │
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│ ▸ Priority Action 1... │
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│ ▸ Priority Action 2... │
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└─────────────────────────────────────┘
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```
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---
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## Requirements
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!!! note "Prerequisites"
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- OpenWebUI v0.3.0 or later
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- Uses the active LLM model for analysis
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- Requires `markdown` Python package
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---
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## Source Code
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[:fontawesome-brands-github: View on GitHub](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/deep-dive){ .md-button }
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111
docs/plugins/actions/deep-dive.zh.md
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111
docs/plugins/actions/deep-dive.zh.md
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# 精读 (Deep Dive)
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<span class="category-badge action">Action</span>
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<span class="version-badge">v1.0.0</span>
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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。
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---
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## 概述
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精读插件改变了您理解复杂内容的方式，通过结构化的思维过程引导您进行深度分析。它不仅仅是摘要，而是从四个阶段解构内容：
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- **🔍 全景 (The Context)**: 情境与背景的高层级全景视图
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- **🧠 脉络 (The Logic)**: 解构底层推理逻辑与思维模型
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- **💎 洞察 (The Insight)**: 提取非显性价值与隐藏含义
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- **🚀 路径 (The Path)**: 具体的、按优先级排列的战略行动
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## 功能特性
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- :material-brain: **思维链**: 完整的结构化分析过程
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- :material-eye: **深度理解**: 揭示隐藏的假设和思维盲点
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- :material-lightbulb-on: **洞察提取**: 发现"原来如此"的时刻
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- :material-rocket-launch: **行动导向**: 将深度理解转化为可执行步骤
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- :material-theme-light-dark: **主题自适应**: 自动适配 OpenWebUI 深色/浅色主题
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- :material-translate: **多语言**: 以用户偏好语言输出
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---
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## 安装
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1. 下载插件文件: [`deep_dive_cn.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/deep-dive)
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2. 上传到 OpenWebUI: **管理面板** → **设置** → **Functions**
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3. 启用插件
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---
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## 使用方法
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1. 在聊天中提供任何长文本、文章或会议记录
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2. 点击消息操作栏中的 **精读** 按钮
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3. 沿着视觉时间轴从"全景"探索到"路径"
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---
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## 配置参数
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| 选项 | 类型 | 默认值 | 描述 |
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|------|------|--------|------|
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| `SHOW_STATUS` | boolean | `true` | 处理过程中是否显示状态更新 |
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| `MODEL_ID` | string | `""` | 用于分析的 LLM 模型（空 = 当前模型） |
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| `MIN_TEXT_LENGTH` | integer | `200` | 分析所需的最小文本长度 |
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| `CLEAR_PREVIOUS_HTML` | boolean | `true` | 是否清除之前的插件结果 |
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| `MESSAGE_COUNT` | integer | `1` | 要分析的最近消息数量 |
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---
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## 主题支持
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精读插件自动适配 OpenWebUI 的深色/浅色主题：
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- 从父文档 `<meta name="theme-color">` 标签检测主题
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- 回退到 `html/body` 的 class 或 `data-theme` 属性
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- 最后使用系统偏好 `prefers-color-scheme: dark`
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!!! tip "最佳效果"
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请在 OpenWebUI 中启用 **iframe Sandbox Allow Same Origin**：
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**设置** → **界面** → **Artifacts** → 勾选 **iframe Sandbox Allow Same Origin**
|
||||||
|
|
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---
|
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## 输出示例
|
||||||
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|
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插件生成精美的结构化时间轴：
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```
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┌─────────────────────────────────────┐
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│ 📖 精读分析报告 │
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│ 👤 用户 📅 日期 📊 字数 │
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├─────────────────────────────────────┤
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│ 🔍 阶段 01: 全景 (The Context) │
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│ [高层级全景视图内容] │
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│ │
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│ 🧠 阶段 02: 脉络 (The Logic) │
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│ • 推理结构分析... │
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│ • 隐藏假设识别... │
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│ │
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│ 💎 阶段 03: 洞察 (The Insight) │
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│ • 非显性价值提取... │
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│ • 思维盲点揭示... │
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│ │
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│ 🚀 阶段 04: 路径 (The Path) │
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│ ▸ 优先级行动 1... │
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||||||
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│ ▸ 优先级行动 2... │
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└─────────────────────────────────────┘
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```
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|
|
||||||
|
---
|
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|
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## 系统要求
|
||||||
|
|
||||||
|
!!! note "前提条件"
|
||||||
|
- OpenWebUI v0.3.0 或更高版本
|
||||||
|
- 使用当前活跃的 LLM 模型进行分析
|
||||||
|
- 需要 `markdown` Python 包
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 源代码
|
||||||
|
|
||||||
|
[:fontawesome-brands-github: 在 GitHub 上查看](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/deep-dive){ .md-button }
|
||||||
@@ -67,15 +67,15 @@ Actions are interactive plugins that:
|
|||||||
|
|
||||||
[:octicons-arrow-right-24: Documentation](export-to-word.md)
|
[:octicons-arrow-right-24: Documentation](export-to-word.md)
|
||||||
|
|
||||||
- :material-text-box-search:{ .lg .middle } **Summary**
|
- :material-brain:{ .lg .middle } **Deep Dive**
|
||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
Generate concise summaries of long text content with key points extraction.
|
A comprehensive thinking lens that dives deep into any content - Context → Logic → Insight → Path. Supports theme auto-adaptation.
|
||||||
|
|
||||||
**Version:** 0.1.0
|
**Version:** 1.0.0
|
||||||
|
|
||||||
[:octicons-arrow-right-24: Documentation](summary.md)
|
[:octicons-arrow-right-24: Documentation](deep-dive.md)
|
||||||
|
|
||||||
- :material-image-text:{ .lg .middle } **Infographic to Markdown**
|
- :material-image-text:{ .lg .middle } **Infographic to Markdown**
|
||||||
|
|
||||||
|
|||||||
@@ -67,15 +67,15 @@ Actions 是交互式插件，能够：
|
|||||||
|
|
||||||
[:octicons-arrow-right-24: 查看文档](export-to-word.md)
|
[:octicons-arrow-right-24: 查看文档](export-to-word.md)
|
||||||
|
|
||||||
- :material-text-box-search:{ .lg .middle } **Summary**
|
- :material-brain:{ .lg .middle } **精读 (Deep Dive)**
|
||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
对长文本进行精简总结，提取要点。
|
全方位的思维透镜 —— 全景 → 脉络 → 洞察 → 路径。支持主题自适应。
|
||||||
|
|
||||||
**版本：** 0.1.0
|
**版本：** 1.0.0
|
||||||
|
|
||||||
[:octicons-arrow-right-24: 查看文档](summary.md)
|
[:octicons-arrow-right-24: 查看文档](deep-dive.zh.md)
|
||||||
|
|
||||||
- :material-image-text:{ .lg .middle } **信息图转 Markdown**
|
- :material-image-text:{ .lg .middle } **信息图转 Markdown**
|
||||||
|
|
||||||
|
|||||||
83
plugins/actions/deep-dive/README.md
Normal file
83
plugins/actions/deep-dive/README.md
Normal file
@@ -0,0 +1,83 @@
|
|||||||
|
# 🌊 Deep Dive
|
||||||
|
|
||||||
|
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.0.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
|
||||||
|
|
||||||
|
A comprehensive thinking lens that dives deep into any content - from context to logic, insights, and action paths.
|
||||||
|
|
||||||
|
## 🔥 What's New in v1.0.0
|
||||||
|
|
||||||
|
- ✨ **Thinking Chain Structure**: Moves from surface understanding to deep strategic action.
|
||||||
|
- 🔍 **Phase 01: The Context**: Panoramic view of the situation and background.
|
||||||
|
- 🧠 **Phase 02: The Logic**: Deconstruction of the underlying reasoning and mental models.
|
||||||
|
- 💎 **Phase 03: The Insight**: Extraction of non-obvious value and hidden implications.
|
||||||
|
- 🚀 **Phase 04: The Path**: Definition of specific, prioritized strategic directions.
|
||||||
|
- 🎨 **Premium UI**: Modern, process-oriented design with a "Thinking Line" timeline.
|
||||||
|
- 🌗 **Theme Adaptive**: Automatically adapts to OpenWebUI's light/dark theme.
|
||||||
|
|
||||||
|
## ✨ Key Features
|
||||||
|
|
||||||
|
- 🌊 **Deep Thinking**: Not just a summary, but a full deconstruction of content.
|
||||||
|
- 🧠 **Logical Analysis**: Reveals how arguments are built and identifies hidden assumptions.
|
||||||
|
- 💎 **Value Extraction**: Finds the "Aha!" moments and blind spots.
|
||||||
|
- 🚀 **Action Oriented**: Translates deep understanding into immediate, actionable steps.
|
||||||
|
- 🌍 **Multi-language**: Automatically adapts to the user's preferred language.
|
||||||
|
- 🌗 **Theme Support**: Seamlessly switches between light and dark themes based on OpenWebUI settings.
|
||||||
|
|
||||||
|
## 🚀 How to Use
|
||||||
|
|
||||||
|
1. **Input Content**: Provide any text, article, or meeting notes in the chat.
|
||||||
|
2. **Trigger Deep Dive**: Click the **Deep Dive** action button.
|
||||||
|
3. **Explore the Chain**: Follow the visual timeline from Context to Path.
|
||||||
|
|
||||||
|
## ⚙️ Configuration (Valves)
|
||||||
|
|
||||||
|
| Parameter | Default | Description |
|
||||||
|
| :--- | :--- | :--- |
|
||||||
|
| **Show Status (SHOW_STATUS)** | `True` | Whether to show status updates during the thinking process. |
|
||||||
|
| **Model ID (MODEL_ID)** | `Empty` | LLM model for analysis. Empty = use current model. |
|
||||||
|
| **Min Text Length (MIN_TEXT_LENGTH)** | `200` | Minimum characters required for a meaningful deep dive. |
|
||||||
|
| **Clear Previous HTML (CLEAR_PREVIOUS_HTML)** | `True` | Whether to clear previous plugin results. |
|
||||||
|
| **Message Count (MESSAGE_COUNT)** | `1` | Number of recent messages to analyze. |
|
||||||
|
|
||||||
|
## 🌗 Theme Support
|
||||||
|
|
||||||
|
The plugin automatically detects and adapts to OpenWebUI's theme settings:
|
||||||
|
|
||||||
|
- **Detection Priority**:
|
||||||
|
1. Parent document `<meta name="theme-color">` tag
|
||||||
|
2. Parent document `html/body` class or `data-theme` attribute
|
||||||
|
3. System preference via `prefers-color-scheme: dark`
|
||||||
|
|
||||||
|
- **Requirements**: For best results, enable **iframe Sandbox Allow Same Origin** in OpenWebUI:
|
||||||
|
- Go to **Settings** → **Interface** → **Artifacts** → Check **iframe Sandbox Allow Same Origin**
|
||||||
|
|
||||||
|
## 🎨 Visual Preview
|
||||||
|
|
||||||
|
The plugin generates a structured thinking timeline:
|
||||||
|
|
||||||
|
```
|
||||||
|
┌─────────────────────────────────────┐
|
||||||
|
│ 🌊 Deep Dive Analysis │
|
||||||
|
│ 👤 User 📅 Date 📊 Word count │
|
||||||
|
├─────────────────────────────────────┤
|
||||||
|
│ 🔍 Phase 01: The Context │
|
||||||
|
│ [High-level panoramic view] │
|
||||||
|
│ │
|
||||||
|
│ 🧠 Phase 02: The Logic │
|
||||||
|
│ • Reasoning structure... │
|
||||||
|
│ • Hidden assumptions... │
|
||||||
|
│ │
|
||||||
|
│ 💎 Phase 03: The Insight │
|
||||||
|
│ • Non-obvious value... │
|
||||||
|
│ • Blind spots revealed... │
|
||||||
|
│ │
|
||||||
|
│ 🚀 Phase 04: The Path │
|
||||||
|
│ ▸ Priority Action 1... │
|
||||||
|
│ ▸ Priority Action 2... │
|
||||||
|
└─────────────────────────────────────┘
|
||||||
|
```
|
||||||
|
|
||||||
|
## 📂 Files
|
||||||
|
|
||||||
|
- `deep_dive.py` - English version
|
||||||
|
- `deep_dive_cn.py` - Chinese version (精读)
|
||||||
83
plugins/actions/deep-dive/README_CN.md
Normal file
83
plugins/actions/deep-dive/README_CN.md
Normal file
@@ -0,0 +1,83 @@
|
|||||||
|
# 📖 精读
|
||||||
|
|
||||||
|
**作者:** [Fu-Jie](https://github.com/Fu-Jie) | **版本:** 1.0.0 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
|
||||||
|
|
||||||
|
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。
|
||||||
|
|
||||||
|
## 🔥 v1.0.0 更新内容
|
||||||
|
|
||||||
|
- ✨ **思维链结构**: 从表面理解一步步深入到战略行动。
|
||||||
|
- 🔍 **阶段 01: 全景 (The Context)**: 提供情境与背景的高层级全景视图。
|
||||||
|
- 🧠 **阶段 02: 脉络 (The Logic)**: 解构底层推理逻辑与思维模型。
|
||||||
|
- 💎 **阶段 03: 洞察 (The Insight)**: 提取非显性价值与隐藏的深层含义。
|
||||||
|
- 🚀 **阶段 04: 路径 (The Path)**: 定义具体的、按优先级排列的战略方向。
|
||||||
|
- 🎨 **高端 UI**: 现代化的过程导向设计，带有"思维导火索"时间轴。
|
||||||
|
- 🌗 **主题自适应**: 自动适配 OpenWebUI 的深色/浅色主题。
|
||||||
|
|
||||||
|
## ✨ 核心特性
|
||||||
|
|
||||||
|
- 📖 **深度思考**: 不仅仅是摘要，而是对内容的全面解构。
|
||||||
|
- 🧠 **逻辑分析**: 揭示论点是如何构建的，识别隐藏的假设。
|
||||||
|
- 💎 **价值提取**: 发现"原来如此"的时刻与思维盲点。
|
||||||
|
- 🚀 **行动导向**: 将深度理解转化为立即、可执行的步骤。
|
||||||
|
- 🌍 **多语言支持**: 自动适配用户的偏好语言。
|
||||||
|
- 🌗 **主题支持**: 根据 OpenWebUI 设置自动切换深色/浅色主题。
|
||||||
|
|
||||||
|
## 🚀 如何使用
|
||||||
|
|
||||||
|
1. **输入内容**: 在聊天中提供任何文本、文章或会议记录。
|
||||||
|
2. **触发精读**: 点击 **精读** 操作按钮。
|
||||||
|
3. **探索思维链**: 沿着视觉时间轴从"全景"探索到"路径"。
|
||||||
|
|
||||||
|
## ⚙️ 配置参数 (Valves)
|
||||||
|
|
||||||
|
| 参数 | 默认值 | 描述 |
|
||||||
|
| :--- | :--- | :--- |
|
||||||
|
| **显示状态 (SHOW_STATUS)** | `True` | 是否在思维过程中显示状态更新。 |
|
||||||
|
| **模型 ID (MODEL_ID)** | `空` | 用于分析的 LLM 模型。留空 = 使用当前模型。 |
|
||||||
|
| **最小文本长度 (MIN_TEXT_LENGTH)** | `200` | 进行有意义的精读所需的最小字符数。 |
|
||||||
|
| **清除旧 HTML (CLEAR_PREVIOUS_HTML)** | `True` | 是否清除之前的插件结果。 |
|
||||||
|
| **消息数量 (MESSAGE_COUNT)** | `1` | 要分析的最近消息数量。 |
|
||||||
|
|
||||||
|
## 🌗 主题支持
|
||||||
|
|
||||||
|
插件会自动检测并适配 OpenWebUI 的主题设置：
|
||||||
|
|
||||||
|
- **检测优先级**:
|
||||||
|
1. 父文档 `<meta name="theme-color">` 标签
|
||||||
|
2. 父文档 `html/body` 的 class 或 `data-theme` 属性
|
||||||
|
3. 系统偏好 `prefers-color-scheme: dark`
|
||||||
|
|
||||||
|
- **环境要求**: 为获得最佳效果，请在 OpenWebUI 中启用 **iframe Sandbox Allow Same Origin**：
|
||||||
|
- 进入 **设置** → **界面** → **Artifacts** → 勾选 **iframe Sandbox Allow Same Origin**
|
||||||
|
|
||||||
|
## 🎨 视觉预览
|
||||||
|
|
||||||
|
插件生成结构化的思维时间轴：
|
||||||
|
|
||||||
|
```
|
||||||
|
┌─────────────────────────────────────┐
|
||||||
|
│ 📖 精读分析报告 │
|
||||||
|
│ 👤 用户 📅 日期 📊 字数 │
|
||||||
|
├─────────────────────────────────────┤
|
||||||
|
│ 🔍 阶段 01: 全景 (The Context) │
|
||||||
|
│ [高层级全景视图内容] │
|
||||||
|
│ │
|
||||||
|
│ 🧠 阶段 02: 脉络 (The Logic) │
|
||||||
|
│ • 推理结构分析... │
|
||||||
|
│ • 隐藏假设识别... │
|
||||||
|
│ │
|
||||||
|
│ 💎 阶段 03: 洞察 (The Insight) │
|
||||||
|
│ • 非显性价值提取... │
|
||||||
|
│ • 思维盲点揭示... │
|
||||||
|
│ │
|
||||||
|
│ 🚀 阶段 04: 路径 (The Path) │
|
||||||
|
│ ▸ 优先级行动 1... │
|
||||||
|
│ ▸ 优先级行动 2... │
|
||||||
|
└─────────────────────────────────────┘
|
||||||
|
```
|
||||||
|
|
||||||
|
## 📂 文件说明
|
||||||
|
|
||||||
|
- `deep_dive.py` - 英文版 (Deep Dive)
|
||||||
|
- `deep_dive_cn.py` - 中文版 (精读)
|
||||||
BIN
plugins/actions/deep-dive/deep_dive.png
Normal file
BIN
plugins/actions/deep-dive/deep_dive.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 783 KiB |
884
plugins/actions/deep-dive/deep_dive.py
Normal file
884
plugins/actions/deep-dive/deep_dive.py
Normal file
@@ -0,0 +1,884 @@
|
|||||||
|
"""
|
||||||
|
title: Deep Dive
|
||||||
|
author: Fu-Jie
|
||||||
|
author_url: https://github.com/Fu-Jie
|
||||||
|
funding_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||||
|
version: 1.0.0
|
||||||
|
icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPjxwYXRoIGQ9Ik0xMiA3djE0Ii8+PHBhdGggZD0iTTMgMThhMSAxIDAgMCAxLTEtMVY0YTEgMSAwIDAgMSAxLTFoNWE0IDQgMCAwIDEgNCA0IDQgNCAwIDAgMSA0LTRoNWExIDEgMCAwIDEgMSAxdjEzYTEgMSAwIDAgMS0xIDFoLTZhMyAzIDAgMCAwLTMgMyAzIDMgMCAwIDAtMy0zeiIvPjxwYXRoIGQ9Ik02IDEyaDIiLz48cGF0aCBkPSJNMTYgMTJoMiIvPjwvc3ZnPg==
|
||||||
|
requirements: markdown
|
||||||
|
description: A comprehensive thinking lens that dives deep into any content - from context to logic, insights, and action paths.
|
||||||
|
"""
|
||||||
|
|
||||||
|
# Standard library imports
|
||||||
|
import re
|
||||||
|
import logging
|
||||||
|
from typing import Optional, Dict, Any, Callable, Awaitable
|
||||||
|
from datetime import datetime
|
||||||
|
|
||||||
|
# Third-party imports
|
||||||
|
from pydantic import BaseModel, Field
|
||||||
|
from fastapi import Request
|
||||||
|
import markdown
|
||||||
|
|
||||||
|
# OpenWebUI imports
|
||||||
|
from open_webui.utils.chat import generate_chat_completion
|
||||||
|
from open_webui.models.users import Users
|
||||||
|
|
||||||
|
# Logging setup
|
||||||
|
logging.basicConfig(
|
||||||
|
level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
|
||||||
|
)
|
||||||
|
logger = logging.getLogger(__name__)
|
||||||
|
|
||||||
|
# =================================================================
|
||||||
|
# HTML Template - Process-Oriented Design with Theme Support
|
||||||
|
# =================================================================
|
||||||
|
HTML_WRAPPER_TEMPLATE = """
|
||||||
|
<!-- OPENWEBUI_PLUGIN_OUTPUT -->
|
||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="{user_language}">
|
||||||
|
<head>
|
||||||
|
<meta charset="UTF-8">
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||||
|
<style>
|
||||||
|
:root {
|
||||||
|
--dd-bg-primary: #ffffff;
|
||||||
|
--dd-bg-secondary: #f8fafc;
|
||||||
|
--dd-bg-tertiary: #f1f5f9;
|
||||||
|
--dd-text-primary: #0f172a;
|
||||||
|
--dd-text-secondary: #334155;
|
||||||
|
--dd-text-dim: #64748b;
|
||||||
|
--dd-border: #e2e8f0;
|
||||||
|
--dd-accent: #3b82f6;
|
||||||
|
--dd-accent-soft: #eff6ff;
|
||||||
|
--dd-header-gradient: linear-gradient(135deg, #1e293b 0%, #0f172a 100%);
|
||||||
|
--dd-shadow: 0 10px 40px rgba(0,0,0,0.06);
|
||||||
|
--dd-code-bg: #f1f5f9;
|
||||||
|
}
|
||||||
|
.theme-dark {
|
||||||
|
--dd-bg-primary: #1e293b;
|
||||||
|
--dd-bg-secondary: #0f172a;
|
||||||
|
--dd-bg-tertiary: #334155;
|
||||||
|
--dd-text-primary: #f1f5f9;
|
||||||
|
--dd-text-secondary: #e2e8f0;
|
||||||
|
--dd-text-dim: #94a3b8;
|
||||||
|
--dd-border: #475569;
|
||||||
|
--dd-accent: #60a5fa;
|
||||||
|
--dd-accent-soft: rgba(59, 130, 246, 0.15);
|
||||||
|
--dd-header-gradient: linear-gradient(135deg, #0f172a 0%, #1e1e2e 100%);
|
||||||
|
--dd-shadow: 0 10px 40px rgba(0,0,0,0.3);
|
||||||
|
--dd-code-bg: #334155;
|
||||||
|
}
|
||||||
|
body {
|
||||||
|
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
|
||||||
|
margin: 0;
|
||||||
|
padding: 10px;
|
||||||
|
background-color: transparent;
|
||||||
|
}
|
||||||
|
#main-container {
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 24px;
|
||||||
|
width: 100%;
|
||||||
|
max-width: 900px;
|
||||||
|
margin: 0 auto;
|
||||||
|
}
|
||||||
|
.plugin-item {
|
||||||
|
background: var(--dd-bg-primary);
|
||||||
|
border-radius: 24px;
|
||||||
|
box-shadow: var(--dd-shadow);
|
||||||
|
overflow: hidden;
|
||||||
|
border: 1px solid var(--dd-border);
|
||||||
|
}
|
||||||
|
/* STYLES_INSERTION_POINT */
|
||||||
|
</style>
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<div id="main-container">
|
||||||
|
<!-- CONTENT_INSERTION_POINT -->
|
||||||
|
</div>
|
||||||
|
<!-- SCRIPTS_INSERTION_POINT -->
|
||||||
|
<script>
|
||||||
|
(function() {
|
||||||
|
const parseColorLuma = (colorStr) => {
|
||||||
|
if (!colorStr) return null;
|
||||||
|
let m = colorStr.match(/^#?([0-9a-f]{6})$/i);
|
||||||
|
if (m) {
|
||||||
|
const hex = m[1];
|
||||||
|
const r = parseInt(hex.slice(0, 2), 16);
|
||||||
|
const g = parseInt(hex.slice(2, 4), 16);
|
||||||
|
const b = parseInt(hex.slice(4, 6), 16);
|
||||||
|
return (0.2126 * r + 0.7152 * g + 0.0722 * b) / 255;
|
||||||
|
}
|
||||||
|
m = colorStr.match(/rgba?\\s*\\(\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)/i);
|
||||||
|
if (m) {
|
||||||
|
const r = parseInt(m[1], 10);
|
||||||
|
const g = parseInt(m[2], 10);
|
||||||
|
const b = parseInt(m[3], 10);
|
||||||
|
return (0.2126 * r + 0.7152 * g + 0.0722 * b) / 255;
|
||||||
|
}
|
||||||
|
return null;
|
||||||
|
};
|
||||||
|
const getThemeFromMeta = (doc) => {
|
||||||
|
const metas = Array.from((doc || document).querySelectorAll('meta[name="theme-color"]'));
|
||||||
|
if (!metas.length) return null;
|
||||||
|
const color = metas[metas.length - 1].content.trim();
|
||||||
|
const luma = parseColorLuma(color);
|
||||||
|
if (luma === null) return null;
|
||||||
|
return luma < 0.5 ? 'dark' : 'light';
|
||||||
|
};
|
||||||
|
const getParentDocumentSafe = () => {
|
||||||
|
try {
|
||||||
|
if (!window.parent || window.parent === window) return null;
|
||||||
|
const pDoc = window.parent.document;
|
||||||
|
void pDoc.title;
|
||||||
|
return pDoc;
|
||||||
|
} catch (err) { return null; }
|
||||||
|
};
|
||||||
|
const getThemeFromParentClass = () => {
|
||||||
|
try {
|
||||||
|
if (!window.parent || window.parent === window) return null;
|
||||||
|
const pDoc = window.parent.document;
|
||||||
|
const html = pDoc.documentElement;
|
||||||
|
const body = pDoc.body;
|
||||||
|
const htmlClass = html ? html.className : '';
|
||||||
|
const bodyClass = body ? body.className : '';
|
||||||
|
const htmlDataTheme = html ? html.getAttribute('data-theme') : '';
|
||||||
|
if (htmlDataTheme === 'dark' || bodyClass.includes('dark') || htmlClass.includes('dark')) return 'dark';
|
||||||
|
if (htmlDataTheme === 'light' || bodyClass.includes('light') || htmlClass.includes('light')) return 'light';
|
||||||
|
return null;
|
||||||
|
} catch (err) { return null; }
|
||||||
|
};
|
||||||
|
const setTheme = () => {
|
||||||
|
const parentDoc = getParentDocumentSafe();
|
||||||
|
const metaTheme = parentDoc ? getThemeFromMeta(parentDoc) : null;
|
||||||
|
const parentClassTheme = getThemeFromParentClass();
|
||||||
|
const prefersDark = window.matchMedia && window.matchMedia('(prefers-color-scheme: dark)').matches;
|
||||||
|
const chosen = metaTheme || parentClassTheme || (prefersDark ? 'dark' : 'light');
|
||||||
|
document.documentElement.classList.toggle('theme-dark', chosen === 'dark');
|
||||||
|
};
|
||||||
|
setTheme();
|
||||||
|
if (window.matchMedia) {
|
||||||
|
window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', setTheme);
|
||||||
|
}
|
||||||
|
})();
|
||||||
|
</script>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
|
"""
|
||||||
|
|
||||||
|
# =================================================================
|
||||||
|
# LLM Prompts - Deep Dive Thinking Chain
|
||||||
|
# =================================================================
|
||||||
|
|
||||||
|
SYSTEM_PROMPT = """
|
||||||
|
You are a Deep Dive Analyst. Your goal is to guide the user through a comprehensive thinking process, moving from surface understanding to deep strategic action.
|
||||||
|
|
||||||
|
## Thinking Structure (STRICT)
|
||||||
|
|
||||||
|
You MUST analyze the input across these four specific dimensions:
|
||||||
|
|
||||||
|
### 1. 🔍 The Context (What?)
|
||||||
|
Provide a high-level panoramic view. What is this content about? What is the core situation, background, or problem being addressed? (2-3 paragraphs)
|
||||||
|
|
||||||
|
### 2. 🧠 The Logic (Why?)
|
||||||
|
Deconstruct the underlying structure. How is the argument built? What is the reasoning, the hidden assumptions, or the mental models at play? (Bullet points)
|
||||||
|
|
||||||
|
### 3. 💎 The Insight (So What?)
|
||||||
|
Extract the non-obvious value. What are the "Aha!" moments? What are the implications, the blind spots, or the unique perspectives revealed? (Bullet points)
|
||||||
|
|
||||||
|
### 4. 🚀 The Path (Now What?)
|
||||||
|
Define the strategic direction. What are the specific, prioritized next steps? How can this knowledge be applied immediately? (Actionable steps)
|
||||||
|
|
||||||
|
## Rules
|
||||||
|
- Output in the user's specified language.
|
||||||
|
- Maintain a professional, analytical, yet inspiring tone.
|
||||||
|
- Focus on the *process* of understanding, not just the result.
|
||||||
|
- No greetings or meta-commentary.
|
||||||
|
"""
|
||||||
|
|
||||||
|
USER_PROMPT = """
|
||||||
|
Initiate a Deep Dive into the following content:
|
||||||
|
|
||||||
|
**User Context:**
|
||||||
|
- User: {user_name}
|
||||||
|
- Time: {current_date_time_str}
|
||||||
|
- Language: {user_language}
|
||||||
|
|
||||||
|
**Content to Analyze:**
|
||||||
|
```
|
||||||
|
{long_text_content}
|
||||||
|
```
|
||||||
|
|
||||||
|
Please execute the full thinking chain: Context → Logic → Insight → Path.
|
||||||
|
"""
|
||||||
|
|
||||||
|
# =================================================================
|
||||||
|
# Premium CSS Design - Deep Dive Theme
|
||||||
|
# =================================================================
|
||||||
|
|
||||||
|
CSS_TEMPLATE = """
|
||||||
|
.deep-dive {
|
||||||
|
font-family: 'Inter', -apple-system, system-ui, sans-serif;
|
||||||
|
color: var(--dd-text-secondary);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-header {
|
||||||
|
background: var(--dd-header-gradient);
|
||||||
|
padding: 40px 32px;
|
||||||
|
color: white;
|
||||||
|
position: relative;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-header-badge {
|
||||||
|
display: inline-block;
|
||||||
|
padding: 4px 12px;
|
||||||
|
background: rgba(255,255,255,0.1);
|
||||||
|
border: 1px solid rgba(255,255,255,0.2);
|
||||||
|
border-radius: 100px;
|
||||||
|
font-size: 0.75rem;
|
||||||
|
font-weight: 600;
|
||||||
|
letter-spacing: 0.05em;
|
||||||
|
text-transform: uppercase;
|
||||||
|
margin-bottom: 16px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-title {
|
||||||
|
font-size: 2rem;
|
||||||
|
font-weight: 800;
|
||||||
|
margin: 0 0 12px 0;
|
||||||
|
letter-spacing: -0.02em;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-meta {
|
||||||
|
display: flex;
|
||||||
|
gap: 20px;
|
||||||
|
font-size: 0.85rem;
|
||||||
|
opacity: 0.7;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-body {
|
||||||
|
padding: 32px;
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 40px;
|
||||||
|
position: relative;
|
||||||
|
background: var(--dd-bg-primary);
|
||||||
|
}
|
||||||
|
|
||||||
|
/* The Thinking Line */
|
||||||
|
.dd-body::before {
|
||||||
|
content: '';
|
||||||
|
position: absolute;
|
||||||
|
left: 52px;
|
||||||
|
top: 40px;
|
||||||
|
bottom: 40px;
|
||||||
|
width: 2px;
|
||||||
|
background: var(--dd-border);
|
||||||
|
z-index: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step {
|
||||||
|
position: relative;
|
||||||
|
z-index: 1;
|
||||||
|
display: flex;
|
||||||
|
gap: 24px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step-icon {
|
||||||
|
flex-shrink: 0;
|
||||||
|
width: 40px;
|
||||||
|
height: 40px;
|
||||||
|
background: var(--dd-bg-primary);
|
||||||
|
border: 2px solid var(--dd-border);
|
||||||
|
border-radius: 12px;
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: center;
|
||||||
|
font-size: 1.25rem;
|
||||||
|
box-shadow: 0 4px 12px rgba(0,0,0,0.03);
|
||||||
|
transition: all 0.3s ease;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step:hover .dd-step-icon {
|
||||||
|
border-color: var(--dd-accent);
|
||||||
|
transform: scale(1.1);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step-content {
|
||||||
|
flex: 1;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step-label {
|
||||||
|
font-size: 0.75rem;
|
||||||
|
font-weight: 700;
|
||||||
|
color: var(--dd-accent);
|
||||||
|
text-transform: uppercase;
|
||||||
|
letter-spacing: 0.1em;
|
||||||
|
margin-bottom: 4px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step-title {
|
||||||
|
font-size: 1.25rem;
|
||||||
|
font-weight: 700;
|
||||||
|
color: var(--dd-text-primary);
|
||||||
|
margin: 0 0 16px 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-text {
|
||||||
|
line-height: 1.7;
|
||||||
|
font-size: 1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-text p { margin-bottom: 16px; }
|
||||||
|
.dd-text p:last-child { margin-bottom: 0; }
|
||||||
|
|
||||||
|
.dd-list {
|
||||||
|
list-style: none;
|
||||||
|
padding: 0;
|
||||||
|
margin: 0;
|
||||||
|
display: grid;
|
||||||
|
gap: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-list-item {
|
||||||
|
background: var(--dd-bg-secondary);
|
||||||
|
padding: 16px 20px;
|
||||||
|
border-radius: 12px;
|
||||||
|
border-left: 4px solid var(--dd-border);
|
||||||
|
transition: all 0.2s ease;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-list-item:hover {
|
||||||
|
background: var(--dd-bg-tertiary);
|
||||||
|
border-left-color: var(--dd-accent);
|
||||||
|
transform: translateX(4px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-list-item strong {
|
||||||
|
color: var(--dd-text-primary);
|
||||||
|
display: block;
|
||||||
|
margin-bottom: 4px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-path-item {
|
||||||
|
background: var(--dd-accent-soft);
|
||||||
|
border-left-color: var(--dd-accent);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-footer {
|
||||||
|
padding: 24px 32px;
|
||||||
|
background: var(--dd-bg-secondary);
|
||||||
|
border-top: 1px solid var(--dd-border);
|
||||||
|
display: flex;
|
||||||
|
justify-content: space-between;
|
||||||
|
align-items: center;
|
||||||
|
font-size: 0.8rem;
|
||||||
|
color: var(--dd-text-dim);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-tag {
|
||||||
|
padding: 2px 8px;
|
||||||
|
background: var(--dd-bg-tertiary);
|
||||||
|
border-radius: 4px;
|
||||||
|
font-weight: 600;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-text code,
|
||||||
|
.dd-list-item code {
|
||||||
|
background: var(--dd-code-bg);
|
||||||
|
color: var(--dd-text-primary);
|
||||||
|
padding: 2px 6px;
|
||||||
|
border-radius: 4px;
|
||||||
|
font-family: 'SF Mono', 'Consolas', 'Monaco', monospace;
|
||||||
|
font-size: 0.85em;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-list-item em {
|
||||||
|
font-style: italic;
|
||||||
|
color: var(--dd-text-dim);
|
||||||
|
}
|
||||||
|
"""
|
||||||
|
|
||||||
|
CONTENT_TEMPLATE = """
|
||||||
|
<div class="deep-dive">
|
||||||
|
<div class="dd-header">
|
||||||
|
<div class="dd-header-badge">Thinking Process</div>
|
||||||
|
<h1 class="dd-title">Deep Dive Analysis</h1>
|
||||||
|
<div class="dd-meta">
|
||||||
|
<span>👤 {user_name}</span>
|
||||||
|
<span>📅 {current_date_time_str}</span>
|
||||||
|
<span>📊 {word_count} words</span>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="dd-body">
|
||||||
|
<!-- Step 1: Context -->
|
||||||
|
<div class="dd-step">
|
||||||
|
<div class="dd-step-icon">🔍</div>
|
||||||
|
<div class="dd-step-content">
|
||||||
|
<div class="dd-step-label">Phase 01</div>
|
||||||
|
<h2 class="dd-step-title">The Context</h2>
|
||||||
|
<div class="dd-text">{context_html}</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- Step 2: Logic -->
|
||||||
|
<div class="dd-step">
|
||||||
|
<div class="dd-step-icon">🧠</div>
|
||||||
|
<div class="dd-step-content">
|
||||||
|
<div class="dd-step-label">Phase 02</div>
|
||||||
|
<h2 class="dd-step-title">The Logic</h2>
|
||||||
|
<div class="dd-text">{logic_html}</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- Step 3: Insight -->
|
||||||
|
<div class="dd-step">
|
||||||
|
<div class="dd-step-icon">💎</div>
|
||||||
|
<div class="dd-step-content">
|
||||||
|
<div class="dd-step-label">Phase 03</div>
|
||||||
|
<h2 class="dd-step-title">The Insight</h2>
|
||||||
|
<div class="dd-text">{insight_html}</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- Step 4: Path -->
|
||||||
|
<div class="dd-step">
|
||||||
|
<div class="dd-step-icon">🚀</div>
|
||||||
|
<div class="dd-step-content">
|
||||||
|
<div class="dd-step-label">Phase 04</div>
|
||||||
|
<h2 class="dd-step-title">The Path</h2>
|
||||||
|
<div class="dd-text">{path_html}</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="dd-footer">
|
||||||
|
<span>Deep Dive Engine v1.0</span>
|
||||||
|
<span><span class="dd-tag">AI-Powered</span></span>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
"""
|
||||||
|
|
||||||
|
|
||||||
|
class Action:
|
||||||
|
class Valves(BaseModel):
|
||||||
|
SHOW_STATUS: bool = Field(
|
||||||
|
default=True,
|
||||||
|
description="Whether to show operation status updates.",
|
||||||
|
)
|
||||||
|
MODEL_ID: str = Field(
|
||||||
|
default="",
|
||||||
|
description="LLM Model ID for analysis. Empty = use current model.",
|
||||||
|
)
|
||||||
|
MIN_TEXT_LENGTH: int = Field(
|
||||||
|
default=200,
|
||||||
|
description="Minimum text length for deep dive (chars).",
|
||||||
|
)
|
||||||
|
CLEAR_PREVIOUS_HTML: bool = Field(
|
||||||
|
default=True,
|
||||||
|
description="Whether to clear previous plugin results.",
|
||||||
|
)
|
||||||
|
MESSAGE_COUNT: int = Field(
|
||||||
|
default=1,
|
||||||
|
description="Number of recent messages to analyze.",
|
||||||
|
)
|
||||||
|
|
||||||
|
def __init__(self):
|
||||||
|
self.valves = self.Valves()
|
||||||
|
|
||||||
|
def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
|
||||||
|
"""Safely extracts user context information."""
|
||||||
|
if isinstance(__user__, (list, tuple)):
|
||||||
|
user_data = __user__[0] if __user__ else {}
|
||||||
|
elif isinstance(__user__, dict):
|
||||||
|
user_data = __user__
|
||||||
|
else:
|
||||||
|
user_data = {}
|
||||||
|
|
||||||
|
return {
|
||||||
|
"user_id": user_data.get("id", "unknown_user"),
|
||||||
|
"user_name": user_data.get("name", "User"),
|
||||||
|
"user_language": user_data.get("language", "en-US"),
|
||||||
|
}
|
||||||
|
|
||||||
|
def _process_llm_output(self, llm_output: str) -> Dict[str, str]:
|
||||||
|
"""Parse LLM output and convert to styled HTML."""
|
||||||
|
# Extract sections using flexible regex
|
||||||
|
context_match = re.search(
|
||||||
|
r"###\s*1\.\s*🔍?\s*The Context\s*\((.*?)\)\s*\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
logic_match = re.search(
|
||||||
|
r"###\s*2\.\s*🧠?\s*The Logic\s*\((.*?)\)\s*\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
insight_match = re.search(
|
||||||
|
r"###\s*3\.\s*💎?\s*The Insight\s*\((.*?)\)\s*\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
path_match = re.search(
|
||||||
|
r"###\s*4\.\s*🚀?\s*The Path\s*\((.*?)\)\s*\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
|
||||||
|
# Fallback if numbering is different
|
||||||
|
if not context_match:
|
||||||
|
context_match = re.search(
|
||||||
|
r"###\s*🔍?\s*The Context.*?\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
if not logic_match:
|
||||||
|
logic_match = re.search(
|
||||||
|
r"###\s*🧠?\s*The Logic.*?\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
if not insight_match:
|
||||||
|
insight_match = re.search(
|
||||||
|
r"###\s*💎?\s*The Insight.*?\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
if not path_match:
|
||||||
|
path_match = re.search(
|
||||||
|
r"###\s*🚀?\s*The Path.*?\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
|
||||||
|
context_md = (
|
||||||
|
context_match.group(1 if context_match.lastindex == 1 else 2).strip()
|
||||||
|
if context_match
|
||||||
|
else ""
|
||||||
|
)
|
||||||
|
logic_md = (
|
||||||
|
logic_match.group(1 if logic_match.lastindex == 1 else 2).strip()
|
||||||
|
if logic_match
|
||||||
|
else ""
|
||||||
|
)
|
||||||
|
insight_md = (
|
||||||
|
insight_match.group(1 if insight_match.lastindex == 1 else 2).strip()
|
||||||
|
if insight_match
|
||||||
|
else ""
|
||||||
|
)
|
||||||
|
path_md = (
|
||||||
|
path_match.group(1 if path_match.lastindex == 1 else 2).strip()
|
||||||
|
if path_match
|
||||||
|
else ""
|
||||||
|
)
|
||||||
|
|
||||||
|
if not any([context_md, logic_md, insight_md, path_md]):
|
||||||
|
context_md = llm_output.strip()
|
||||||
|
logger.warning("LLM output did not follow format. Using as context.")
|
||||||
|
|
||||||
|
md_extensions = ["nl2br"]
|
||||||
|
|
||||||
|
context_html = (
|
||||||
|
markdown.markdown(context_md, extensions=md_extensions)
|
||||||
|
if context_md
|
||||||
|
else '<p class="dd-no-content">No context extracted.</p>'
|
||||||
|
)
|
||||||
|
logic_html = (
|
||||||
|
self._process_list_items(logic_md, "logic")
|
||||||
|
if logic_md
|
||||||
|
else '<p class="dd-no-content">No logic deconstructed.</p>'
|
||||||
|
)
|
||||||
|
insight_html = (
|
||||||
|
self._process_list_items(insight_md, "insight")
|
||||||
|
if insight_md
|
||||||
|
else '<p class="dd-no-content">No insights found.</p>'
|
||||||
|
)
|
||||||
|
path_html = (
|
||||||
|
self._process_list_items(path_md, "path")
|
||||||
|
if path_md
|
||||||
|
else '<p class="dd-no-content">No path defined.</p>'
|
||||||
|
)
|
||||||
|
|
||||||
|
return {
|
||||||
|
"context_html": context_html,
|
||||||
|
"logic_html": logic_html,
|
||||||
|
"insight_html": insight_html,
|
||||||
|
"path_html": path_html,
|
||||||
|
}
|
||||||
|
|
||||||
|
def _process_list_items(self, md_content: str, section_type: str) -> str:
|
||||||
|
"""Convert markdown list to styled HTML cards with full markdown support."""
|
||||||
|
lines = md_content.strip().split("\n")
|
||||||
|
items = []
|
||||||
|
current_paragraph = []
|
||||||
|
|
||||||
|
for line in lines:
|
||||||
|
line = line.strip()
|
||||||
|
|
||||||
|
# Check for list item (bullet or numbered)
|
||||||
|
bullet_match = re.match(r"^[-*]\s+(.+)$", line)
|
||||||
|
numbered_match = re.match(r"^\d+\.\s+(.+)$", line)
|
||||||
|
|
||||||
|
if bullet_match or numbered_match:
|
||||||
|
# Flush any accumulated paragraph
|
||||||
|
if current_paragraph:
|
||||||
|
para_text = " ".join(current_paragraph)
|
||||||
|
para_html = self._convert_inline_markdown(para_text)
|
||||||
|
items.append(f"<p>{para_html}</p>")
|
||||||
|
current_paragraph = []
|
||||||
|
|
||||||
|
# Extract the list item content
|
||||||
|
text = (
|
||||||
|
bullet_match.group(1) if bullet_match else numbered_match.group(1)
|
||||||
|
)
|
||||||
|
|
||||||
|
# Handle bold title pattern: **Title:** Description or **Title**: Description
|
||||||
|
title_match = re.match(r"\*\*(.+?)\*\*[:\s]*(.*)$", text)
|
||||||
|
if title_match:
|
||||||
|
title = self._convert_inline_markdown(title_match.group(1))
|
||||||
|
desc = self._convert_inline_markdown(title_match.group(2).strip())
|
||||||
|
path_class = "dd-path-item" if section_type == "path" else ""
|
||||||
|
item_html = f'<div class="dd-list-item {path_class}"><strong>{title}</strong>{desc}</div>'
|
||||||
|
else:
|
||||||
|
text_html = self._convert_inline_markdown(text)
|
||||||
|
path_class = "dd-path-item" if section_type == "path" else ""
|
||||||
|
item_html = (
|
||||||
|
f'<div class="dd-list-item {path_class}">{text_html}</div>'
|
||||||
|
)
|
||||||
|
items.append(item_html)
|
||||||
|
elif line and not line.startswith("#"):
|
||||||
|
# Accumulate paragraph text
|
||||||
|
current_paragraph.append(line)
|
||||||
|
elif not line and current_paragraph:
|
||||||
|
# Empty line ends paragraph
|
||||||
|
para_text = " ".join(current_paragraph)
|
||||||
|
para_html = self._convert_inline_markdown(para_text)
|
||||||
|
items.append(f"<p>{para_html}</p>")
|
||||||
|
current_paragraph = []
|
||||||
|
|
||||||
|
# Flush remaining paragraph
|
||||||
|
if current_paragraph:
|
||||||
|
para_text = " ".join(current_paragraph)
|
||||||
|
para_html = self._convert_inline_markdown(para_text)
|
||||||
|
items.append(f"<p>{para_html}</p>")
|
||||||
|
|
||||||
|
if items:
|
||||||
|
return f'<div class="dd-list">{" ".join(items)}</div>'
|
||||||
|
return f'<p class="dd-no-content">No items found.</p>'
|
||||||
|
|
||||||
|
def _convert_inline_markdown(self, text: str) -> str:
|
||||||
|
"""Convert inline markdown (bold, italic, code) to HTML."""
|
||||||
|
# Convert inline code: `code` -> <code>code</code>
|
||||||
|
text = re.sub(r"`([^`]+)`", r"<code>\1</code>", text)
|
||||||
|
# Convert bold: **text** -> <strong>text</strong>
|
||||||
|
text = re.sub(r"\*\*(.+?)\*\*", r"<strong>\1</strong>", text)
|
||||||
|
# Convert italic: *text* -> <em>text</em> (but not inside **)
|
||||||
|
text = re.sub(r"(?<!\*)\*([^*]+)\*(?!\*)", r"<em>\1</em>", text)
|
||||||
|
return text
|
||||||
|
|
||||||
|
async def _emit_status(
|
||||||
|
self,
|
||||||
|
emitter: Optional[Callable[[Any], Awaitable[None]]],
|
||||||
|
description: str,
|
||||||
|
done: bool = False,
|
||||||
|
):
|
||||||
|
"""Emits a status update event."""
|
||||||
|
if self.valves.SHOW_STATUS and emitter:
|
||||||
|
await emitter(
|
||||||
|
{"type": "status", "data": {"description": description, "done": done}}
|
||||||
|
)
|
||||||
|
|
||||||
|
async def _emit_notification(
|
||||||
|
self,
|
||||||
|
emitter: Optional[Callable[[Any], Awaitable[None]]],
|
||||||
|
content: str,
|
||||||
|
ntype: str = "info",
|
||||||
|
):
|
||||||
|
"""Emits a notification event."""
|
||||||
|
if emitter:
|
||||||
|
await emitter(
|
||||||
|
{"type": "notification", "data": {"type": ntype, "content": content}}
|
||||||
|
)
|
||||||
|
|
||||||
|
def _remove_existing_html(self, content: str) -> str:
|
||||||
|
"""Removes existing plugin-generated HTML."""
|
||||||
|
pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"
|
||||||
|
return re.sub(pattern, "", content).strip()
|
||||||
|
|
||||||
|
def _extract_text_content(self, content) -> str:
|
||||||
|
"""Extract text from message content."""
|
||||||
|
if isinstance(content, str):
|
||||||
|
return content
|
||||||
|
elif isinstance(content, list):
|
||||||
|
text_parts = []
|
||||||
|
for item in content:
|
||||||
|
if isinstance(item, dict) and item.get("type") == "text":
|
||||||
|
text_parts.append(item.get("text", ""))
|
||||||
|
elif isinstance(item, str):
|
||||||
|
text_parts.append(item)
|
||||||
|
return "\n".join(text_parts)
|
||||||
|
return str(content) if content else ""
|
||||||
|
|
||||||
|
def _merge_html(
|
||||||
|
self,
|
||||||
|
existing_html: str,
|
||||||
|
new_content: str,
|
||||||
|
new_styles: str = "",
|
||||||
|
user_language: str = "en-US",
|
||||||
|
) -> str:
|
||||||
|
"""Merges new content into HTML container."""
|
||||||
|
if "<!-- OPENWEBUI_PLUGIN_OUTPUT -->" in existing_html:
|
||||||
|
base_html = re.sub(r"^```html\s*", "", existing_html)
|
||||||
|
base_html = re.sub(r"\s*```$", "", base_html)
|
||||||
|
else:
|
||||||
|
base_html = HTML_WRAPPER_TEMPLATE.replace("{user_language}", user_language)
|
||||||
|
|
||||||
|
wrapped = f'<div class="plugin-item">\n{new_content}\n</div>'
|
||||||
|
|
||||||
|
if new_styles:
|
||||||
|
base_html = base_html.replace(
|
||||||
|
"/* STYLES_INSERTION_POINT */",
|
||||||
|
f"{new_styles}\n/* STYLES_INSERTION_POINT */",
|
||||||
|
)
|
||||||
|
|
||||||
|
base_html = base_html.replace(
|
||||||
|
"<!-- CONTENT_INSERTION_POINT -->",
|
||||||
|
f"{wrapped}\n<!-- CONTENT_INSERTION_POINT -->",
|
||||||
|
)
|
||||||
|
|
||||||
|
return base_html.strip()
|
||||||
|
|
||||||
|
def _build_content_html(self, context: dict) -> str:
|
||||||
|
"""Build content HTML."""
|
||||||
|
html = CONTENT_TEMPLATE
|
||||||
|
for key, value in context.items():
|
||||||
|
html = html.replace(f"{{{key}}}", str(value))
|
||||||
|
return html
|
||||||
|
|
||||||
|
async def action(
|
||||||
|
self,
|
||||||
|
body: dict,
|
||||||
|
__user__: Optional[Dict[str, Any]] = None,
|
||||||
|
__event_emitter__: Optional[Callable[[Any], Awaitable[None]]] = None,
|
||||||
|
__request__: Optional[Request] = None,
|
||||||
|
) -> Optional[dict]:
|
||||||
|
logger.info("Action: Deep Dive v1.0.0 started")
|
||||||
|
|
||||||
|
user_ctx = self._get_user_context(__user__)
|
||||||
|
user_id = user_ctx["user_id"]
|
||||||
|
user_name = user_ctx["user_name"]
|
||||||
|
user_language = user_ctx["user_language"]
|
||||||
|
|
||||||
|
now = datetime.now()
|
||||||
|
current_date_time_str = now.strftime("%b %d, %Y %H:%M")
|
||||||
|
|
||||||
|
original_content = ""
|
||||||
|
try:
|
||||||
|
messages = body.get("messages", [])
|
||||||
|
if not messages:
|
||||||
|
raise ValueError("No messages found.")
|
||||||
|
|
||||||
|
message_count = min(self.valves.MESSAGE_COUNT, len(messages))
|
||||||
|
recent_messages = messages[-message_count:]
|
||||||
|
|
||||||
|
aggregated_parts = []
|
||||||
|
for msg in recent_messages:
|
||||||
|
text = self._extract_text_content(msg.get("content"))
|
||||||
|
if text:
|
||||||
|
aggregated_parts.append(text)
|
||||||
|
|
||||||
|
if not aggregated_parts:
|
||||||
|
raise ValueError("No text content found.")
|
||||||
|
|
||||||
|
original_content = "\n\n---\n\n".join(aggregated_parts)
|
||||||
|
word_count = len(original_content.split())
|
||||||
|
|
||||||
|
if len(original_content) < self.valves.MIN_TEXT_LENGTH:
|
||||||
|
msg = f"Content too brief ({len(original_content)} chars). Deep Dive requires at least {self.valves.MIN_TEXT_LENGTH} chars for meaningful analysis."
|
||||||
|
await self._emit_notification(__event_emitter__, msg, "warning")
|
||||||
|
return {"messages": [{"role": "assistant", "content": f"⚠️ {msg}"}]}
|
||||||
|
|
||||||
|
await self._emit_notification(
|
||||||
|
__event_emitter__, "🌊 Initiating Deep Dive thinking process...", "info"
|
||||||
|
)
|
||||||
|
await self._emit_status(
|
||||||
|
__event_emitter__, "🌊 Deep Dive: Analyzing Context & Logic...", False
|
||||||
|
)
|
||||||
|
|
||||||
|
prompt = USER_PROMPT.format(
|
||||||
|
user_name=user_name,
|
||||||
|
current_date_time_str=current_date_time_str,
|
||||||
|
user_language=user_language,
|
||||||
|
long_text_content=original_content,
|
||||||
|
)
|
||||||
|
|
||||||
|
model = self.valves.MODEL_ID or body.get("model")
|
||||||
|
payload = {
|
||||||
|
"model": model,
|
||||||
|
"messages": [
|
||||||
|
{"role": "system", "content": SYSTEM_PROMPT},
|
||||||
|
{"role": "user", "content": prompt},
|
||||||
|
],
|
||||||
|
"stream": False,
|
||||||
|
}
|
||||||
|
|
||||||
|
user_obj = Users.get_user_by_id(user_id)
|
||||||
|
if not user_obj:
|
||||||
|
raise ValueError(f"User not found: {user_id}")
|
||||||
|
|
||||||
|
response = await generate_chat_completion(__request__, payload, user_obj)
|
||||||
|
llm_output = response["choices"][0]["message"]["content"]
|
||||||
|
|
||||||
|
processed = self._process_llm_output(llm_output)
|
||||||
|
|
||||||
|
context = {
|
||||||
|
"user_name": user_name,
|
||||||
|
"current_date_time_str": current_date_time_str,
|
||||||
|
"word_count": word_count,
|
||||||
|
**processed,
|
||||||
|
}
|
||||||
|
|
||||||
|
content_html = self._build_content_html(context)
|
||||||
|
|
||||||
|
# Handle existing HTML
|
||||||
|
existing = ""
|
||||||
|
match = re.search(
|
||||||
|
r"```html\s*(<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?)```",
|
||||||
|
original_content,
|
||||||
|
)
|
||||||
|
if match:
|
||||||
|
existing = match.group(1)
|
||||||
|
|
||||||
|
if self.valves.CLEAR_PREVIOUS_HTML or not existing:
|
||||||
|
original_content = self._remove_existing_html(original_content)
|
||||||
|
final_html = self._merge_html(
|
||||||
|
"", content_html, CSS_TEMPLATE, user_language
|
||||||
|
)
|
||||||
|
else:
|
||||||
|
original_content = self._remove_existing_html(original_content)
|
||||||
|
final_html = self._merge_html(
|
||||||
|
existing, content_html, CSS_TEMPLATE, user_language
|
||||||
|
)
|
||||||
|
|
||||||
|
body["messages"][-1][
|
||||||
|
"content"
|
||||||
|
] = f"{original_content}\n\n```html\n{final_html}\n```"
|
||||||
|
|
||||||
|
await self._emit_status(__event_emitter__, "🌊 Deep Dive complete!", True)
|
||||||
|
await self._emit_notification(
|
||||||
|
__event_emitter__,
|
||||||
|
f"🌊 Deep Dive complete, {user_name}! Thinking chain generated.",
|
||||||
|
"success",
|
||||||
|
)
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
logger.error(f"Deep Dive Error: {e}", exc_info=True)
|
||||||
|
body["messages"][-1][
|
||||||
|
"content"
|
||||||
|
] = f"{original_content}\n\n❌ **Error:** {str(e)}"
|
||||||
|
await self._emit_status(__event_emitter__, "Deep Dive failed.", True)
|
||||||
|
await self._emit_notification(
|
||||||
|
__event_emitter__, f"Error: {str(e)}", "error"
|
||||||
|
)
|
||||||
|
|
||||||
|
return body
|
||||||
BIN
plugins/actions/deep-dive/deep_dive_cn.png
Normal file
BIN
plugins/actions/deep-dive/deep_dive_cn.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 997 KiB |
876
plugins/actions/deep-dive/deep_dive_cn.py
Normal file
876
plugins/actions/deep-dive/deep_dive_cn.py
Normal file
@@ -0,0 +1,876 @@
|
|||||||
|
"""
|
||||||
|
title: 精读
|
||||||
|
author: Fu-Jie
|
||||||
|
author_url: https://github.com/Fu-Jie
|
||||||
|
funding_url: https://github.com/Fu-Jie/awesome-openwebui
|
||||||
|
version: 1.0.0
|
||||||
|
icon_url: data:image/svg+xml;base64,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
|
||||||
|
requirements: markdown
|
||||||
|
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。
|
||||||
|
"""
|
||||||
|
|
||||||
|
# Standard library imports
|
||||||
|
import re
|
||||||
|
import logging
|
||||||
|
from typing import Optional, Dict, Any, Callable, Awaitable
|
||||||
|
from datetime import datetime
|
||||||
|
|
||||||
|
# Third-party imports
|
||||||
|
from pydantic import BaseModel, Field
|
||||||
|
from fastapi import Request
|
||||||
|
import markdown
|
||||||
|
|
||||||
|
# OpenWebUI imports
|
||||||
|
from open_webui.utils.chat import generate_chat_completion
|
||||||
|
from open_webui.models.users import Users
|
||||||
|
|
||||||
|
# Logging setup
|
||||||
|
logging.basicConfig(
|
||||||
|
level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
|
||||||
|
)
|
||||||
|
logger = logging.getLogger(__name__)
|
||||||
|
|
||||||
|
# =================================================================
|
||||||
|
# HTML 模板 - 过程导向设计，支持主题自适应
|
||||||
|
# =================================================================
|
||||||
|
HTML_WRAPPER_TEMPLATE = """
|
||||||
|
<!-- OPENWEBUI_PLUGIN_OUTPUT -->
|
||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="{user_language}">
|
||||||
|
<head>
|
||||||
|
<meta charset="UTF-8">
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||||
|
<style>
|
||||||
|
:root {
|
||||||
|
--dd-bg-primary: #ffffff;
|
||||||
|
--dd-bg-secondary: #f8fafc;
|
||||||
|
--dd-bg-tertiary: #f1f5f9;
|
||||||
|
--dd-text-primary: #0f172a;
|
||||||
|
--dd-text-secondary: #334155;
|
||||||
|
--dd-text-dim: #64748b;
|
||||||
|
--dd-border: #e2e8f0;
|
||||||
|
--dd-accent: #3b82f6;
|
||||||
|
--dd-accent-soft: #eff6ff;
|
||||||
|
--dd-header-gradient: linear-gradient(135deg, #1e293b 0%, #0f172a 100%);
|
||||||
|
--dd-shadow: 0 10px 40px rgba(0,0,0,0.06);
|
||||||
|
--dd-code-bg: #f1f5f9;
|
||||||
|
}
|
||||||
|
.theme-dark {
|
||||||
|
--dd-bg-primary: #1e293b;
|
||||||
|
--dd-bg-secondary: #0f172a;
|
||||||
|
--dd-bg-tertiary: #334155;
|
||||||
|
--dd-text-primary: #f1f5f9;
|
||||||
|
--dd-text-secondary: #e2e8f0;
|
||||||
|
--dd-text-dim: #94a3b8;
|
||||||
|
--dd-border: #475569;
|
||||||
|
--dd-accent: #60a5fa;
|
||||||
|
--dd-accent-soft: rgba(59, 130, 246, 0.15);
|
||||||
|
--dd-header-gradient: linear-gradient(135deg, #0f172a 0%, #1e1e2e 100%);
|
||||||
|
--dd-shadow: 0 10px 40px rgba(0,0,0,0.3);
|
||||||
|
--dd-code-bg: #334155;
|
||||||
|
}
|
||||||
|
body {
|
||||||
|
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
|
||||||
|
margin: 0;
|
||||||
|
padding: 10px;
|
||||||
|
background-color: transparent;
|
||||||
|
}
|
||||||
|
#main-container {
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 24px;
|
||||||
|
width: 100%;
|
||||||
|
max-width: 900px;
|
||||||
|
margin: 0 auto;
|
||||||
|
}
|
||||||
|
.plugin-item {
|
||||||
|
background: var(--dd-bg-primary);
|
||||||
|
border-radius: 24px;
|
||||||
|
box-shadow: var(--dd-shadow);
|
||||||
|
overflow: hidden;
|
||||||
|
border: 1px solid var(--dd-border);
|
||||||
|
}
|
||||||
|
/* STYLES_INSERTION_POINT */
|
||||||
|
</style>
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<div id="main-container">
|
||||||
|
<!-- CONTENT_INSERTION_POINT -->
|
||||||
|
</div>
|
||||||
|
<!-- SCRIPTS_INSERTION_POINT -->
|
||||||
|
<script>
|
||||||
|
(function() {
|
||||||
|
const parseColorLuma = (colorStr) => {
|
||||||
|
if (!colorStr) return null;
|
||||||
|
let m = colorStr.match(/^#?([0-9a-f]{6})$/i);
|
||||||
|
if (m) {
|
||||||
|
const hex = m[1];
|
||||||
|
const r = parseInt(hex.slice(0, 2), 16);
|
||||||
|
const g = parseInt(hex.slice(2, 4), 16);
|
||||||
|
const b = parseInt(hex.slice(4, 6), 16);
|
||||||
|
return (0.2126 * r + 0.7152 * g + 0.0722 * b) / 255;
|
||||||
|
}
|
||||||
|
m = colorStr.match(/rgba?\\s*\\(\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)/i);
|
||||||
|
if (m) {
|
||||||
|
const r = parseInt(m[1], 10);
|
||||||
|
const g = parseInt(m[2], 10);
|
||||||
|
const b = parseInt(m[3], 10);
|
||||||
|
return (0.2126 * r + 0.7152 * g + 0.0722 * b) / 255;
|
||||||
|
}
|
||||||
|
return null;
|
||||||
|
};
|
||||||
|
const getThemeFromMeta = (doc) => {
|
||||||
|
const metas = Array.from((doc || document).querySelectorAll('meta[name="theme-color"]'));
|
||||||
|
if (!metas.length) return null;
|
||||||
|
const color = metas[metas.length - 1].content.trim();
|
||||||
|
const luma = parseColorLuma(color);
|
||||||
|
if (luma === null) return null;
|
||||||
|
return luma < 0.5 ? 'dark' : 'light';
|
||||||
|
};
|
||||||
|
const getParentDocumentSafe = () => {
|
||||||
|
try {
|
||||||
|
if (!window.parent || window.parent === window) return null;
|
||||||
|
const pDoc = window.parent.document;
|
||||||
|
void pDoc.title;
|
||||||
|
return pDoc;
|
||||||
|
} catch (err) { return null; }
|
||||||
|
};
|
||||||
|
const getThemeFromParentClass = () => {
|
||||||
|
try {
|
||||||
|
if (!window.parent || window.parent === window) return null;
|
||||||
|
const pDoc = window.parent.document;
|
||||||
|
const html = pDoc.documentElement;
|
||||||
|
const body = pDoc.body;
|
||||||
|
const htmlClass = html ? html.className : '';
|
||||||
|
const bodyClass = body ? body.className : '';
|
||||||
|
const htmlDataTheme = html ? html.getAttribute('data-theme') : '';
|
||||||
|
if (htmlDataTheme === 'dark' || bodyClass.includes('dark') || htmlClass.includes('dark')) return 'dark';
|
||||||
|
if (htmlDataTheme === 'light' || bodyClass.includes('light') || htmlClass.includes('light')) return 'light';
|
||||||
|
return null;
|
||||||
|
} catch (err) { return null; }
|
||||||
|
};
|
||||||
|
const setTheme = () => {
|
||||||
|
const parentDoc = getParentDocumentSafe();
|
||||||
|
const metaTheme = parentDoc ? getThemeFromMeta(parentDoc) : null;
|
||||||
|
const parentClassTheme = getThemeFromParentClass();
|
||||||
|
const prefersDark = window.matchMedia && window.matchMedia('(prefers-color-scheme: dark)').matches;
|
||||||
|
const chosen = metaTheme || parentClassTheme || (prefersDark ? 'dark' : 'light');
|
||||||
|
document.documentElement.classList.toggle('theme-dark', chosen === 'dark');
|
||||||
|
};
|
||||||
|
setTheme();
|
||||||
|
if (window.matchMedia) {
|
||||||
|
window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', setTheme);
|
||||||
|
}
|
||||||
|
})();
|
||||||
|
</script>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
|
"""
|
||||||
|
|
||||||
|
# =================================================================
|
||||||
|
# LLM 提示词 - 深度下潜思维链
|
||||||
|
# =================================================================
|
||||||
|
|
||||||
|
SYSTEM_PROMPT = """
|
||||||
|
你是一位“深度下潜 (Deep Dive)”分析专家。你的目标是引导用户完成一个全面的思维过程，从表面理解深入到战略行动。
|
||||||
|
|
||||||
|
## 思维结构 (严格遵守)
|
||||||
|
|
||||||
|
你必须从以下四个维度剖析输入内容：
|
||||||
|
|
||||||
|
### 1. 🔍 The Context (全景)
|
||||||
|
提供一个高层级的全景视图。内容是关于什么的？核心情境、背景或正在解决的问题是什么？（2-3 段话）
|
||||||
|
|
||||||
|
### 2. 🧠 The Logic (脉络)
|
||||||
|
解构底层结构。论点是如何构建的？其中的推理逻辑、隐藏假设或起作用的思维模型是什么？（列表形式）
|
||||||
|
|
||||||
|
### 3. 💎 The Insight (洞察)
|
||||||
|
提取非显性的价值。有哪些“原来如此”的时刻？揭示了哪些深层含义、盲点或独特视角？（列表形式）
|
||||||
|
|
||||||
|
### 4. 🚀 The Path (路径)
|
||||||
|
定义战略方向。具体的、按优先级排列的下一步行动是什么？如何立即应用这些知识？（可执行步骤）
|
||||||
|
|
||||||
|
## 规则
|
||||||
|
- 使用用户指定的语言输出。
|
||||||
|
- 保持专业、分析性且富有启发性的语调。
|
||||||
|
- 聚焦于“理解的过程”，而不仅仅是结果。
|
||||||
|
- 不要包含寒暄或元对话。
|
||||||
|
"""
|
||||||
|
|
||||||
|
USER_PROMPT = """
|
||||||
|
对以下内容发起“深度下潜”：
|
||||||
|
|
||||||
|
**用户上下文：**
|
||||||
|
- 用户：{user_name}
|
||||||
|
- 时间：{current_date_time_str}
|
||||||
|
- 语言：{user_language}
|
||||||
|
|
||||||
|
**待分析内容：**
|
||||||
|
```
|
||||||
|
{long_text_content}
|
||||||
|
```
|
||||||
|
|
||||||
|
请执行完整的思维链：全景 (Context) → 脉络 (Logic) → 洞察 (Insight) → 路径 (Path)。
|
||||||
|
"""
|
||||||
|
|
||||||
|
# =================================================================
|
||||||
|
# 现代 CSS 设计 - 深度下潜主题
|
||||||
|
# =================================================================
|
||||||
|
|
||||||
|
CSS_TEMPLATE = """
|
||||||
|
.deep-dive {
|
||||||
|
font-family: 'Inter', -apple-system, system-ui, sans-serif;
|
||||||
|
color: var(--dd-text-secondary);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-header {
|
||||||
|
background: var(--dd-header-gradient);
|
||||||
|
padding: 40px 32px;
|
||||||
|
color: white;
|
||||||
|
position: relative;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-header-badge {
|
||||||
|
display: inline-block;
|
||||||
|
padding: 4px 12px;
|
||||||
|
background: rgba(255,255,255,0.1);
|
||||||
|
border: 1px solid rgba(255,255,255,0.2);
|
||||||
|
border-radius: 100px;
|
||||||
|
font-size: 0.75rem;
|
||||||
|
font-weight: 600;
|
||||||
|
letter-spacing: 0.05em;
|
||||||
|
text-transform: uppercase;
|
||||||
|
margin-bottom: 16px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-title {
|
||||||
|
font-size: 2rem;
|
||||||
|
font-weight: 800;
|
||||||
|
margin: 0 0 12px 0;
|
||||||
|
letter-spacing: -0.02em;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-meta {
|
||||||
|
display: flex;
|
||||||
|
gap: 20px;
|
||||||
|
font-size: 0.85rem;
|
||||||
|
opacity: 0.7;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-body {
|
||||||
|
padding: 32px;
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 40px;
|
||||||
|
position: relative;
|
||||||
|
background: var(--dd-bg-primary);
|
||||||
|
}
|
||||||
|
|
||||||
|
/* 思维导火索 */
|
||||||
|
.dd-body::before {
|
||||||
|
content: '';
|
||||||
|
position: absolute;
|
||||||
|
left: 52px;
|
||||||
|
top: 40px;
|
||||||
|
bottom: 40px;
|
||||||
|
width: 2px;
|
||||||
|
background: var(--dd-border);
|
||||||
|
z-index: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step {
|
||||||
|
position: relative;
|
||||||
|
z-index: 1;
|
||||||
|
display: flex;
|
||||||
|
gap: 24px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step-icon {
|
||||||
|
flex-shrink: 0;
|
||||||
|
width: 40px;
|
||||||
|
height: 40px;
|
||||||
|
background: var(--dd-bg-primary);
|
||||||
|
border: 2px solid var(--dd-border);
|
||||||
|
border-radius: 12px;
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: center;
|
||||||
|
font-size: 1.25rem;
|
||||||
|
box-shadow: 0 4px 12px rgba(0,0,0,0.03);
|
||||||
|
transition: all 0.3s ease;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step:hover .dd-step-icon {
|
||||||
|
border-color: var(--dd-accent);
|
||||||
|
transform: scale(1.1);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step-content {
|
||||||
|
flex: 1;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step-label {
|
||||||
|
font-size: 0.75rem;
|
||||||
|
font-weight: 700;
|
||||||
|
color: var(--dd-accent);
|
||||||
|
text-transform: uppercase;
|
||||||
|
letter-spacing: 0.1em;
|
||||||
|
margin-bottom: 4px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-step-title {
|
||||||
|
font-size: 1.25rem;
|
||||||
|
font-weight: 700;
|
||||||
|
color: var(--dd-text-primary);
|
||||||
|
margin: 0 0 16px 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-text {
|
||||||
|
line-height: 1.7;
|
||||||
|
font-size: 1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-text p { margin-bottom: 16px; }
|
||||||
|
.dd-text p:last-child { margin-bottom: 0; }
|
||||||
|
|
||||||
|
.dd-list {
|
||||||
|
list-style: none;
|
||||||
|
padding: 0;
|
||||||
|
margin: 0;
|
||||||
|
display: grid;
|
||||||
|
gap: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-list-item {
|
||||||
|
background: var(--dd-bg-secondary);
|
||||||
|
padding: 16px 20px;
|
||||||
|
border-radius: 12px;
|
||||||
|
border-left: 4px solid var(--dd-border);
|
||||||
|
transition: all 0.2s ease;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-list-item:hover {
|
||||||
|
background: var(--dd-bg-tertiary);
|
||||||
|
border-left-color: var(--dd-accent);
|
||||||
|
transform: translateX(4px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-list-item strong {
|
||||||
|
color: var(--dd-text-primary);
|
||||||
|
display: block;
|
||||||
|
margin-bottom: 4px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-path-item {
|
||||||
|
background: var(--dd-accent-soft);
|
||||||
|
border-left-color: var(--dd-accent);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-footer {
|
||||||
|
padding: 24px 32px;
|
||||||
|
background: var(--dd-bg-secondary);
|
||||||
|
border-top: 1px solid var(--dd-border);
|
||||||
|
display: flex;
|
||||||
|
justify-content: space-between;
|
||||||
|
align-items: center;
|
||||||
|
font-size: 0.8rem;
|
||||||
|
color: var(--dd-text-dim);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-tag {
|
||||||
|
padding: 2px 8px;
|
||||||
|
background: var(--dd-bg-tertiary);
|
||||||
|
border-radius: 4px;
|
||||||
|
font-weight: 600;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-text code,
|
||||||
|
.dd-list-item code {
|
||||||
|
background: var(--dd-code-bg);
|
||||||
|
color: var(--dd-text-primary);
|
||||||
|
padding: 2px 6px;
|
||||||
|
border-radius: 4px;
|
||||||
|
font-family: 'SF Mono', 'Consolas', 'Monaco', monospace;
|
||||||
|
font-size: 0.85em;
|
||||||
|
}
|
||||||
|
|
||||||
|
.dd-list-item em {
|
||||||
|
font-style: italic;
|
||||||
|
color: var(--dd-text-dim);
|
||||||
|
}
|
||||||
|
"""
|
||||||
|
|
||||||
|
CONTENT_TEMPLATE = """
|
||||||
|
<div class="deep-dive">
|
||||||
|
<div class="dd-header">
|
||||||
|
<div class="dd-header-badge">思维过程</div>
|
||||||
|
<h1 class="dd-title">精读分析报告</h1>
|
||||||
|
<div class="dd-meta">
|
||||||
|
<span>👤 {user_name}</span>
|
||||||
|
<span>📅 {current_date_time_str}</span>
|
||||||
|
<span>📊 {word_count} 字</span>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="dd-body">
|
||||||
|
<!-- 第一步：全景 -->
|
||||||
|
<div class="dd-step">
|
||||||
|
<div class="dd-step-icon">🔍</div>
|
||||||
|
<div class="dd-step-content">
|
||||||
|
<div class="dd-step-label">Phase 01</div>
|
||||||
|
<h2 class="dd-step-title">全景 (The Context)</h2>
|
||||||
|
<div class="dd-text">{context_html}</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- 第二步：脉络 -->
|
||||||
|
<div class="dd-step">
|
||||||
|
<div class="dd-step-icon">🧠</div>
|
||||||
|
<div class="dd-step-content">
|
||||||
|
<div class="dd-step-label">Phase 02</div>
|
||||||
|
<h2 class="dd-step-title">脉络 (The Logic)</h2>
|
||||||
|
<div class="dd-text">{logic_html}</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- 第三步：洞察 -->
|
||||||
|
<div class="dd-step">
|
||||||
|
<div class="dd-step-icon">💎</div>
|
||||||
|
<div class="dd-step-content">
|
||||||
|
<div class="dd-step-label">Phase 03</div>
|
||||||
|
<h2 class="dd-step-title">洞察 (The Insight)</h2>
|
||||||
|
<div class="dd-text">{insight_html}</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- 第四步：路径 -->
|
||||||
|
<div class="dd-step">
|
||||||
|
<div class="dd-step-icon">🚀</div>
|
||||||
|
<div class="dd-step-content">
|
||||||
|
<div class="dd-step-label">Phase 04</div>
|
||||||
|
<h2 class="dd-step-title">路径 (The Path)</h2>
|
||||||
|
<div class="dd-text">{path_html}</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="dd-footer">
|
||||||
|
<span>Deep Dive Engine v1.0</span>
|
||||||
|
<span><span class="dd-tag">AI 驱动分析</span></span>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
"""
|
||||||
|
|
||||||
|
|
||||||
|
class Action:
|
||||||
|
class Valves(BaseModel):
|
||||||
|
SHOW_STATUS: bool = Field(
|
||||||
|
default=True,
|
||||||
|
description="是否显示操作状态更新。",
|
||||||
|
)
|
||||||
|
MODEL_ID: str = Field(
|
||||||
|
default="",
|
||||||
|
description="用于分析的 LLM 模型 ID。留空则使用当前模型。",
|
||||||
|
)
|
||||||
|
MIN_TEXT_LENGTH: int = Field(
|
||||||
|
default=200,
|
||||||
|
description="深度下潜所需的最小文本长度（字符）。",
|
||||||
|
)
|
||||||
|
CLEAR_PREVIOUS_HTML: bool = Field(
|
||||||
|
default=True,
|
||||||
|
description="是否清除之前的插件结果。",
|
||||||
|
)
|
||||||
|
MESSAGE_COUNT: int = Field(
|
||||||
|
default=1,
|
||||||
|
description="要分析的最近消息数量。",
|
||||||
|
)
|
||||||
|
|
||||||
|
def __init__(self):
|
||||||
|
self.valves = self.Valves()
|
||||||
|
|
||||||
|
def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
|
||||||
|
"""安全提取用户上下文信息。"""
|
||||||
|
if isinstance(__user__, (list, tuple)):
|
||||||
|
user_data = __user__[0] if __user__ else {}
|
||||||
|
elif isinstance(__user__, dict):
|
||||||
|
user_data = __user__
|
||||||
|
else:
|
||||||
|
user_data = {}
|
||||||
|
|
||||||
|
return {
|
||||||
|
"user_id": user_data.get("id", "unknown_user"),
|
||||||
|
"user_name": user_data.get("name", "用户"),
|
||||||
|
"user_language": user_data.get("language", "zh-CN"),
|
||||||
|
}
|
||||||
|
|
||||||
|
def _process_llm_output(self, llm_output: str) -> Dict[str, str]:
|
||||||
|
"""解析 LLM 输出并转换为样式化 HTML。"""
|
||||||
|
# 使用灵活的正则提取各部分
|
||||||
|
context_match = re.search(
|
||||||
|
r"###\s*1\.\s*🔍?\s*(?:全景|The Context)\s*(?:\((.*?)\))?\s*\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
logic_match = re.search(
|
||||||
|
r"###\s*2\.\s*🧠?\s*(?:脉络|The Logic)\s*(?:\((.*?)\))?\s*\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
insight_match = re.search(
|
||||||
|
r"###\s*3\.\s*💎?\s*(?:洞察|The Insight)\s*(?:\((.*?)\))?\s*\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
path_match = re.search(
|
||||||
|
r"###\s*4\.\s*🚀?\s*(?:路径|The Path)\s*(?:\((.*?)\))?\s*\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
|
||||||
|
# 兜底正则
|
||||||
|
if not context_match:
|
||||||
|
context_match = re.search(
|
||||||
|
r"###\s*🔍?\s*(?:全景|The Context).*?\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
if not logic_match:
|
||||||
|
logic_match = re.search(
|
||||||
|
r"###\s*🧠?\s*(?:脉络|The Logic).*?\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
if not insight_match:
|
||||||
|
insight_match = re.search(
|
||||||
|
r"###\s*💎?\s*(?:洞察|The Insight).*?\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
if not path_match:
|
||||||
|
path_match = re.search(
|
||||||
|
r"###\s*🚀?\s*(?:路径|The Path).*?\n(.*?)(?=\n###|$)",
|
||||||
|
llm_output,
|
||||||
|
re.DOTALL | re.IGNORECASE,
|
||||||
|
)
|
||||||
|
|
||||||
|
context_md = (
|
||||||
|
context_match.group(context_match.lastindex).strip()
|
||||||
|
if context_match
|
||||||
|
else ""
|
||||||
|
)
|
||||||
|
logic_md = (
|
||||||
|
logic_match.group(logic_match.lastindex).strip() if logic_match else ""
|
||||||
|
)
|
||||||
|
insight_md = (
|
||||||
|
insight_match.group(insight_match.lastindex).strip()
|
||||||
|
if insight_match
|
||||||
|
else ""
|
||||||
|
)
|
||||||
|
path_md = path_match.group(path_match.lastindex).strip() if path_match else ""
|
||||||
|
|
||||||
|
if not any([context_md, logic_md, insight_md, path_md]):
|
||||||
|
context_md = llm_output.strip()
|
||||||
|
logger.warning("LLM 输出未遵循格式，将作为全景处理。")
|
||||||
|
|
||||||
|
md_extensions = ["nl2br"]
|
||||||
|
|
||||||
|
context_html = (
|
||||||
|
markdown.markdown(context_md, extensions=md_extensions)
|
||||||
|
if context_md
|
||||||
|
else '<p class="dd-no-content">未能提取全景信息。</p>'
|
||||||
|
)
|
||||||
|
logic_html = (
|
||||||
|
self._process_list_items(logic_md, "logic")
|
||||||
|
if logic_md
|
||||||
|
else '<p class="dd-no-content">未能解构脉络。</p>'
|
||||||
|
)
|
||||||
|
insight_html = (
|
||||||
|
self._process_list_items(insight_md, "insight")
|
||||||
|
if insight_md
|
||||||
|
else '<p class="dd-no-content">未能发现洞察。</p>'
|
||||||
|
)
|
||||||
|
path_html = (
|
||||||
|
self._process_list_items(path_md, "path")
|
||||||
|
if path_md
|
||||||
|
else '<p class="dd-no-content">未能定义路径。</p>'
|
||||||
|
)
|
||||||
|
|
||||||
|
return {
|
||||||
|
"context_html": context_html,
|
||||||
|
"logic_html": logic_html,
|
||||||
|
"insight_html": insight_html,
|
||||||
|
"path_html": path_html,
|
||||||
|
}
|
||||||
|
|
||||||
|
def _process_list_items(self, md_content: str, section_type: str) -> str:
|
||||||
|
"""将 markdown 列表转换为样式化卡片，支持完整的 markdown 格式。"""
|
||||||
|
lines = md_content.strip().split("\n")
|
||||||
|
items = []
|
||||||
|
current_paragraph = []
|
||||||
|
|
||||||
|
for line in lines:
|
||||||
|
line = line.strip()
|
||||||
|
|
||||||
|
# 检查列表项（无序或有序）
|
||||||
|
bullet_match = re.match(r"^[-*]\s+(.+)$", line)
|
||||||
|
numbered_match = re.match(r"^\d+\.\s+(.+)$", line)
|
||||||
|
|
||||||
|
if bullet_match or numbered_match:
|
||||||
|
# 清空累积的段落
|
||||||
|
if current_paragraph:
|
||||||
|
para_text = " ".join(current_paragraph)
|
||||||
|
para_html = self._convert_inline_markdown(para_text)
|
||||||
|
items.append(f"<p>{para_html}</p>")
|
||||||
|
current_paragraph = []
|
||||||
|
|
||||||
|
# 提取列表项内容
|
||||||
|
text = (
|
||||||
|
bullet_match.group(1) if bullet_match else numbered_match.group(1)
|
||||||
|
)
|
||||||
|
|
||||||
|
# 处理粗体标题模式：**标题:** 描述 或 **标题**: 描述
|
||||||
|
title_match = re.match(r"\*\*(.+?)\*\*[:\s：]*(.*)$", text)
|
||||||
|
if title_match:
|
||||||
|
title = self._convert_inline_markdown(title_match.group(1))
|
||||||
|
desc = self._convert_inline_markdown(title_match.group(2).strip())
|
||||||
|
path_class = "dd-path-item" if section_type == "path" else ""
|
||||||
|
item_html = f'<div class="dd-list-item {path_class}"><strong>{title}</strong>{desc}</div>'
|
||||||
|
else:
|
||||||
|
text_html = self._convert_inline_markdown(text)
|
||||||
|
path_class = "dd-path-item" if section_type == "path" else ""
|
||||||
|
item_html = (
|
||||||
|
f'<div class="dd-list-item {path_class}">{text_html}</div>'
|
||||||
|
)
|
||||||
|
items.append(item_html)
|
||||||
|
elif line and not line.startswith("#"):
|
||||||
|
# 累积段落文本
|
||||||
|
current_paragraph.append(line)
|
||||||
|
elif not line and current_paragraph:
|
||||||
|
# 空行结束段落
|
||||||
|
para_text = " ".join(current_paragraph)
|
||||||
|
para_html = self._convert_inline_markdown(para_text)
|
||||||
|
items.append(f"<p>{para_html}</p>")
|
||||||
|
current_paragraph = []
|
||||||
|
|
||||||
|
# 清空剩余段落
|
||||||
|
if current_paragraph:
|
||||||
|
para_text = " ".join(current_paragraph)
|
||||||
|
para_html = self._convert_inline_markdown(para_text)
|
||||||
|
items.append(f"<p>{para_html}</p>")
|
||||||
|
|
||||||
|
if items:
|
||||||
|
return f'<div class="dd-list">{" ".join(items)}</div>'
|
||||||
|
return f'<p class="dd-no-content">未找到条目。</p>'
|
||||||
|
|
||||||
|
def _convert_inline_markdown(self, text: str) -> str:
|
||||||
|
"""将行内 markdown（粗体、斜体、代码）转换为 HTML。"""
|
||||||
|
# 转换行内代码：`code` -> <code>code</code>
|
||||||
|
text = re.sub(r"`([^`]+)`", r"<code>\1</code>", text)
|
||||||
|
# 转换粗体：**text** -> <strong>text</strong>
|
||||||
|
text = re.sub(r"\*\*(.+?)\*\*", r"<strong>\1</strong>", text)
|
||||||
|
# 转换斜体：*text* -> <em>text</em>（但不在 ** 内部）
|
||||||
|
text = re.sub(r"(?<!\*)\*([^*]+)\*(?!\*)", r"<em>\1</em>", text)
|
||||||
|
return text
|
||||||
|
|
||||||
|
async def _emit_status(
|
||||||
|
self,
|
||||||
|
emitter: Optional[Callable[[Any], Awaitable[None]]],
|
||||||
|
description: str,
|
||||||
|
done: bool = False,
|
||||||
|
):
|
||||||
|
"""发送状态更新事件。"""
|
||||||
|
if self.valves.SHOW_STATUS and emitter:
|
||||||
|
await emitter(
|
||||||
|
{"type": "status", "data": {"description": description, "done": done}}
|
||||||
|
)
|
||||||
|
|
||||||
|
async def _emit_notification(
|
||||||
|
self,
|
||||||
|
emitter: Optional[Callable[[Any], Awaitable[None]]],
|
||||||
|
content: str,
|
||||||
|
ntype: str = "info",
|
||||||
|
):
|
||||||
|
"""发送通知事件。"""
|
||||||
|
if emitter:
|
||||||
|
await emitter(
|
||||||
|
{"type": "notification", "data": {"type": ntype, "content": content}}
|
||||||
|
)
|
||||||
|
|
||||||
|
def _remove_existing_html(self, content: str) -> str:
|
||||||
|
"""移除已有的插件生成的 HTML。"""
|
||||||
|
pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"
|
||||||
|
return re.sub(pattern, "", content).strip()
|
||||||
|
|
||||||
|
def _extract_text_content(self, content) -> str:
|
||||||
|
"""从消息内容中提取文本。"""
|
||||||
|
if isinstance(content, str):
|
||||||
|
return content
|
||||||
|
elif isinstance(content, list):
|
||||||
|
text_parts = []
|
||||||
|
for item in content:
|
||||||
|
if isinstance(item, dict) and item.get("type") == "text":
|
||||||
|
text_parts.append(item.get("text", ""))
|
||||||
|
elif isinstance(item, str):
|
||||||
|
text_parts.append(item)
|
||||||
|
return "\n".join(text_parts)
|
||||||
|
return str(content) if content else ""
|
||||||
|
|
||||||
|
def _merge_html(
|
||||||
|
self,
|
||||||
|
existing_html: str,
|
||||||
|
new_content: str,
|
||||||
|
new_styles: str = "",
|
||||||
|
user_language: str = "zh-CN",
|
||||||
|
) -> str:
|
||||||
|
"""合并新内容到 HTML 容器。"""
|
||||||
|
if "<!-- OPENWEBUI_PLUGIN_OUTPUT -->" in existing_html:
|
||||||
|
base_html = re.sub(r"^```html\s*", "", existing_html)
|
||||||
|
base_html = re.sub(r"\s*```$", "", base_html)
|
||||||
|
else:
|
||||||
|
base_html = HTML_WRAPPER_TEMPLATE.replace("{user_language}", user_language)
|
||||||
|
|
||||||
|
wrapped = f'<div class="plugin-item">\n{new_content}\n</div>'
|
||||||
|
|
||||||
|
if new_styles:
|
||||||
|
base_html = base_html.replace(
|
||||||
|
"/* STYLES_INSERTION_POINT */",
|
||||||
|
f"{new_styles}\n/* STYLES_INSERTION_POINT */",
|
||||||
|
)
|
||||||
|
|
||||||
|
base_html = base_html.replace(
|
||||||
|
"<!-- CONTENT_INSERTION_POINT -->",
|
||||||
|
f"{wrapped}\n<!-- CONTENT_INSERTION_POINT -->",
|
||||||
|
)
|
||||||
|
|
||||||
|
return base_html.strip()
|
||||||
|
|
||||||
|
def _build_content_html(self, context: dict) -> str:
|
||||||
|
"""构建内容 HTML。"""
|
||||||
|
html = CONTENT_TEMPLATE
|
||||||
|
for key, value in context.items():
|
||||||
|
html = html.replace(f"{{{key}}}", str(value))
|
||||||
|
return html
|
||||||
|
|
||||||
|
async def action(
|
||||||
|
self,
|
||||||
|
body: dict,
|
||||||
|
__user__: Optional[Dict[str, Any]] = None,
|
||||||
|
__event_emitter__: Optional[Callable[[Any], Awaitable[None]]] = None,
|
||||||
|
__request__: Optional[Request] = None,
|
||||||
|
) -> Optional[dict]:
|
||||||
|
logger.info("Action: 精读 v1.0.0 启动")
|
||||||
|
|
||||||
|
user_ctx = self._get_user_context(__user__)
|
||||||
|
user_id = user_ctx["user_id"]
|
||||||
|
user_name = user_ctx["user_name"]
|
||||||
|
user_language = user_ctx["user_language"]
|
||||||
|
|
||||||
|
now = datetime.now()
|
||||||
|
current_date_time_str = now.strftime("%Y年%m月%d日 %H:%M")
|
||||||
|
|
||||||
|
original_content = ""
|
||||||
|
try:
|
||||||
|
messages = body.get("messages", [])
|
||||||
|
if not messages:
|
||||||
|
raise ValueError("未找到消息内容。")
|
||||||
|
|
||||||
|
message_count = min(self.valves.MESSAGE_COUNT, len(messages))
|
||||||
|
recent_messages = messages[-message_count:]
|
||||||
|
|
||||||
|
aggregated_parts = []
|
||||||
|
for msg in recent_messages:
|
||||||
|
text = self._extract_text_content(msg.get("content"))
|
||||||
|
if text:
|
||||||
|
aggregated_parts.append(text)
|
||||||
|
|
||||||
|
if not aggregated_parts:
|
||||||
|
raise ValueError("未找到文本内容。")
|
||||||
|
|
||||||
|
original_content = "\n\n---\n\n".join(aggregated_parts)
|
||||||
|
word_count = len(original_content)
|
||||||
|
|
||||||
|
if len(original_content) < self.valves.MIN_TEXT_LENGTH:
|
||||||
|
msg = f"内容过短（{len(original_content)} 字符）。精读至少需要 {self.valves.MIN_TEXT_LENGTH} 字符才能进行有意义的分析。"
|
||||||
|
await self._emit_notification(__event_emitter__, msg, "warning")
|
||||||
|
return {"messages": [{"role": "assistant", "content": f"⚠️ {msg}"}]}
|
||||||
|
|
||||||
|
await self._emit_notification(
|
||||||
|
__event_emitter__, "📖 正在发起精读分析...", "info"
|
||||||
|
)
|
||||||
|
await self._emit_status(
|
||||||
|
__event_emitter__, "📖 精读：正在分析全景与脉络...", False
|
||||||
|
)
|
||||||
|
|
||||||
|
prompt = USER_PROMPT.format(
|
||||||
|
user_name=user_name,
|
||||||
|
current_date_time_str=current_date_time_str,
|
||||||
|
user_language=user_language,
|
||||||
|
long_text_content=original_content,
|
||||||
|
)
|
||||||
|
|
||||||
|
model = self.valves.MODEL_ID or body.get("model")
|
||||||
|
payload = {
|
||||||
|
"model": model,
|
||||||
|
"messages": [
|
||||||
|
{"role": "system", "content": SYSTEM_PROMPT},
|
||||||
|
{"role": "user", "content": prompt},
|
||||||
|
],
|
||||||
|
"stream": False,
|
||||||
|
}
|
||||||
|
|
||||||
|
user_obj = Users.get_user_by_id(user_id)
|
||||||
|
if not user_obj:
|
||||||
|
raise ValueError(f"未找到用户：{user_id}")
|
||||||
|
|
||||||
|
response = await generate_chat_completion(__request__, payload, user_obj)
|
||||||
|
llm_output = response["choices"][0]["message"]["content"]
|
||||||
|
|
||||||
|
processed = self._process_llm_output(llm_output)
|
||||||
|
|
||||||
|
context = {
|
||||||
|
"user_name": user_name,
|
||||||
|
"current_date_time_str": current_date_time_str,
|
||||||
|
"word_count": word_count,
|
||||||
|
**processed,
|
||||||
|
}
|
||||||
|
|
||||||
|
content_html = self._build_content_html(context)
|
||||||
|
|
||||||
|
# 处理已有 HTML
|
||||||
|
existing = ""
|
||||||
|
match = re.search(
|
||||||
|
r"```html\s*(<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?)```",
|
||||||
|
original_content,
|
||||||
|
)
|
||||||
|
if match:
|
||||||
|
existing = match.group(1)
|
||||||
|
|
||||||
|
if self.valves.CLEAR_PREVIOUS_HTML or not existing:
|
||||||
|
original_content = self._remove_existing_html(original_content)
|
||||||
|
final_html = self._merge_html(
|
||||||
|
"", content_html, CSS_TEMPLATE, user_language
|
||||||
|
)
|
||||||
|
else:
|
||||||
|
original_content = self._remove_existing_html(original_content)
|
||||||
|
final_html = self._merge_html(
|
||||||
|
existing, content_html, CSS_TEMPLATE, user_language
|
||||||
|
)
|
||||||
|
|
||||||
|
body["messages"][-1][
|
||||||
|
"content"
|
||||||
|
] = f"{original_content}\n\n```html\n{final_html}\n```"
|
||||||
|
|
||||||
|
await self._emit_status(__event_emitter__, "📖 精读完成！", True)
|
||||||
|
await self._emit_notification(
|
||||||
|
__event_emitter__,
|
||||||
|
f"📖 精读完成，{user_name}！思维链已生成。",
|
||||||
|
"success",
|
||||||
|
)
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
logger.error(f"Deep Dive 错误：{e}", exc_info=True)
|
||||||
|
body["messages"][-1][
|
||||||
|
"content"
|
||||||
|
] = f"{original_content}\n\n❌ **错误：** {str(e)}"
|
||||||
|
await self._emit_status(__event_emitter__, "精读失败。", True)
|
||||||
|
await self._emit_notification(__event_emitter__, f"错误：{str(e)}", "error")
|
||||||
|
|
||||||
|
return body
|
||||||
Reference in New Issue
Block a user