feat(export-to-word): add S3 object storage support

- Add boto3 direct download for S3/MinIO stored images
- Implement 6-level file fallback: DB → S3 → Local → URL → API → Attributes
- Sync S3 support to Chinese version (export_to_word_cn.py)
- Update version to 0.4.2
- Rewrite README.md and README_CN.md following standard format
- Update docs version numbers
- Add file storage access guidelines to copilot-instructions.md
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@@ -35,38 +35,71 @@ plugins/actions/export_to_docx/
所有插件 README 必须遵循以下统一结构顺序:
1. **标题 (Title)**: 插件名称
2. **元数据 (Metadata)**: 作者、版本、许可证、项目链接 (一行显示)
- 格式: `**Author:** [Name](Link) | **Version:** x.x.x | **Project:** [Link](Link)`
3. **描述 (Description)**: 简短的功能介绍
1. **标题 (Title)**: 插件名称,带 Emoji 图标
2. **元数据 (Metadata)**: 作者、版本、项目链接 (一行显示)
- 格式: `**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** x.x.x | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)`
- **注意**: Author 和 Project 为固定值,仅需更新 Version 版本号
3. **描述 (Description)**: 一句话功能介绍
4. **最新更新 (What's New)**: **必须**放在描述之后,显著展示最新版本的变更点
5. **核心特性 (Key Features)**
6. **使用方法 (Usage)**
7. **配置参数 (Configuration/Valves)**
8. **其他 (Others)**: 故障排除、示例
5. **核心特性 (Key Features)**: 使用 Emoji + 粗体标题 + 描述格式
6. **使用方法 (How to Use)**: 按步骤说明
7. **配置参数 (Configuration/Valves)**: 使用表格格式,包含参数名、默认值、描述
8. **其他 (Others)**: 支持的模板类型、语法示例、故障排除等
示例 (Example):
完整示例 (Full Example):
```markdown
# 📊 Smart Plugin
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.0.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
A powerful plugin for OpenWebUI.
A one-sentence description of this plugin.
## 🔥 What's New in v1.0.0
- Feature A
- Feature B
- **Feature Name**: Brief description of the feature.
- 🔧 **Configuration Change**: What changed in settings.
- 🐛 **Bug Fix**: What was fixed.
## ✨ Features
...
## ✨ Key Features
- 🚀 **Feature A**: Description of feature A.
- 🎨 **Feature B**: Description of feature B.
- 📥 **Feature C**: Description of feature C.
## 🚀 How to Use
1. **Install**: Search for "Plugin Name" in the Open WebUI Community and install.
2. **Trigger**: Enter your text in the chat, then click the **Action Button**.
3. **Result**: View the generated result.
## ⚙️ Configuration (Valves)
| Parameter | Default | Description |
| :--- | :--- | :--- |
| **Show Status (SHOW_STATUS)** | `True` | Whether to show status updates. |
| **Model ID (MODEL_ID)** | `Empty` | LLM model for processing. |
| **Output Mode (OUTPUT_MODE)** | `image` | `image` for static, `html` for interactive. |
## 🛠️ Supported Types (Optional)
| Category | Type Name | Use Case |
| :--- | :--- | :--- |
| **Category A** | `type-a`, `type-b` | Use case description |
## 📝 Advanced Example (Optional)
\`\`\`syntax
example code or syntax here
\`\`\`
```
### 文档内容要求 (Content Requirements)
- **新增功能**: 必须在 "What's New" 章节中明确列出。
- **新增功能**: 必须在 "What's New" 章节中明确列出,使用 Emoji + 粗体标题格式
- **双语**: 必须提供 `README.md` (英文) 和 `README_CN.md` (中文)。
- **表格对齐**: 配置参数表格使用左对齐 `:---`
- **Emoji 规范**: 标题使用合适的 Emoji 增强可读性。
### 官方文档 (Official Documentation)
@@ -508,7 +541,164 @@ Base = declarative_base()
---
## 🔧 代码规范 (Code Style)
## 📂 文件存储访问规范 (File Storage Access)
OpenWebUI 支持多种文件存储后端本地磁盘、S3/MinIO 对象存储等)。插件在访问用户上传的文件或生成的图片时,必须实现多级回退机制以兼容所有存储配置。
### 存储类型检测 (Storage Type Detection)
通过 `Files.get_file_by_id()` 获取的文件对象,其 `path` 属性决定了存储位置:
| Path 格式 | 存储类型 | 访问方式 |
|-----------|----------|----------|
| `s3://bucket/key` | S3/MinIO 对象存储 | boto3 直连或 API 回调 |
| `/app/backend/data/...` | Docker 卷存储 | 本地文件系统读取 |
| `./uploads/...` | 本地相对路径 | 本地文件系统读取 |
| `gs://bucket/key` | Google Cloud Storage | API 回调 |
### 多级回退机制 (Multi-level Fallback)
推荐实现以下优先级的文件获取策略:
```python
def _get_file_content(self, file_id: str, max_bytes: int) -> Optional[bytes]:
"""获取文件内容,支持多种存储后端"""
file_obj = Files.get_file_by_id(file_id)
if not file_obj:
return None
# 1⃣ 数据库直接存储 (小文件)
data_field = getattr(file_obj, "data", None)
if isinstance(data_field, dict):
if "bytes" in data_field:
return data_field["bytes"]
if "base64" in data_field:
return base64.b64decode(data_field["base64"])
# 2⃣ S3 直连 (对象存储 - 最快)
s3_path = getattr(file_obj, "path", None)
if isinstance(s3_path, str) and s3_path.startswith("s3://"):
data = self._read_from_s3(s3_path, max_bytes)
if data:
return data
# 3⃣ 本地文件系统 (磁盘存储)
for attr in ("path", "file_path"):
path = getattr(file_obj, attr, None)
if path and not path.startswith(("s3://", "gs://", "http")):
# 尝试多个常见路径
for base in ["", "./data", "/app/backend/data"]:
full_path = Path(base) / path if base else Path(path)
if full_path.exists():
return full_path.read_bytes()[:max_bytes]
# 4⃣ 公共 URL 下载
url = getattr(file_obj, "url", None)
if url and url.startswith("http"):
return self._download_from_url(url, max_bytes)
# 5⃣ 内部 API 回调 (通用兜底方案)
if self._api_base_url:
api_url = f"{self._api_base_url}/api/v1/files/{file_id}/content"
return self._download_from_api(api_url, self._api_token, max_bytes)
return None
```
### S3 直连实现 (S3 Direct Access)
当检测到 `s3://` 路径时,使用 `boto3` 直接访问对象存储,读取以下环境变量:
| 环境变量 | 说明 | 示例 |
|----------|------|------|
| `S3_ENDPOINT_URL` | S3 兼容服务端点 | `https://minio.example.com` |
| `S3_ACCESS_KEY_ID` | 访问密钥 ID | `minioadmin` |
| `S3_SECRET_ACCESS_KEY` | 访问密钥 | `minioadmin` |
| `S3_ADDRESSING_STYLE` | 寻址样式 | `auto`, `path`, `virtual` |
```python
# S3 直连示例
import boto3
from botocore.config import Config as BotoConfig
import os
def _read_from_s3(self, s3_path: str, max_bytes: int) -> Optional[bytes]:
"""从 S3 直接读取文件 (比 API 回调更快)"""
if not s3_path.startswith("s3://"):
return None
# 解析 s3://bucket/key
parts = s3_path[5:].split("/", 1)
bucket, key = parts[0], parts[1]
# 从环境变量读取配置
endpoint = os.environ.get("S3_ENDPOINT_URL")
access_key = os.environ.get("S3_ACCESS_KEY_ID")
secret_key = os.environ.get("S3_SECRET_ACCESS_KEY")
if not all([endpoint, access_key, secret_key]):
return None # 回退到 API 方式
s3_client = boto3.client(
"s3",
endpoint_url=endpoint,
aws_access_key_id=access_key,
aws_secret_access_key=secret_key,
config=BotoConfig(s3={"addressing_style": os.environ.get("S3_ADDRESSING_STYLE", "auto")})
)
response = s3_client.get_object(Bucket=bucket, Key=key)
return response["Body"].read(max_bytes)
```
### API 回调实现 (API Fallback)
当其他方式失败时,通过 OpenWebUI 内部 API 获取文件:
```python
def _download_from_api(self, api_url: str, token: str, max_bytes: int) -> Optional[bytes]:
"""通过 OpenWebUI API 获取文件内容"""
import urllib.request
headers = {"User-Agent": "OpenWebUI-Plugin"}
if token:
headers["Authorization"] = token
req = urllib.request.Request(api_url, headers=headers)
with urllib.request.urlopen(req, timeout=15) as response:
if 200 <= response.status < 300:
return response.read(max_bytes)
return None
```
### 获取 API 上下文 (API Context Extraction)
`action()` 方法中捕获请求上下文,用于 API 回调:
```python
async def action(self, body: dict, __request__=None, ...):
# 从请求对象获取 API 凭证
if __request__:
self._api_token = __request__.headers.get("Authorization")
self._api_base_url = str(__request__.base_url).rstrip("/")
else:
# 从环境变量获取端口作为备用
port = os.environ.get("PORT") or "8080"
self._api_base_url = f"http://localhost:{port}"
self._api_token = None
```
### 性能对比 (Performance Comparison)
| 方式 | 网络跳数 | 适用场景 |
|------|----------|----------|
| S3 直连 | 1 (插件 → S3) | 对象存储,最快 |
| 本地文件 | 0 | 磁盘存储,最快 |
| API 回调 | 2 (插件 → OpenWebUI → S3/磁盘) | 通用兜底 |
### 参考实现 (Reference Implementation)
- `plugins/actions/export_to_docx/export_to_word.py` - `_image_bytes_from_owui_file_id` 方法
### Python 规范

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# Export to Word
<span class="category-badge action">Action</span>
<span class="version-badge">v0.4.1</span>
<span class="version-badge">v0.4.2</span>
Export conversation to Word (.docx) with **syntax highlighting**, **native math equations**, **Mermaid diagrams**, **citations**, and **enhanced table formatting**.

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@@ -1,7 +1,7 @@
# Export to Word导出为 Word
<span class="category-badge action">Action</span>
<span class="version-badge">v0.4.1</span>
<span class="version-badge">v0.4.2</span>
将当前对话导出为完美格式的 Word 文档,支持**代码语法高亮**、**原生数学公式**、**Mermaid 图表**、**引用资料**以及**增强表格**渲染。

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@@ -63,7 +63,7 @@ Actions are interactive plugins that:
Export the current conversation to a formatted Word doc with **syntax highlighting**, **native math equations**, **Mermaid diagrams**, **citations**, and **enhanced table formatting**.
**Version:** 0.4.1
**Version:** 0.4.2
[:octicons-arrow-right-24: Documentation](export-to-word.md)

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@@ -63,7 +63,7 @@ Actions 是交互式插件,能够:
将当前对话导出为完美格式的 Word 文档,支持**代码语法高亮**、**原生数学公式**、**Mermaid 图表**、**引用资料**以及**增强表格**渲染。
**版本:** 0.4.1
**版本:** 0.4.2
[:octicons-arrow-right-24: 查看文档](export-to-word.md)

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@@ -1,130 +1,88 @@
# Export to Word
# 📝 Export to Word (Enhanced)
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.4.2 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
Export conversation to Word (.docx) with **syntax highlighting**, **native math equations**, **Mermaid diagrams**, **citations**, and **enhanced table formatting**.
## Features
## 🔥 What's New in v0.4.2
- **One-Click Export**: Adds an "Export to Word" action button to the chat.
- **Markdown Conversion**: Converts Markdown syntax to Word formatting (headings, bold, italic, code, tables, lists).
- **Syntax Highlighting**: Code blocks are highlighted with Pygments (supports 500+ languages).
- **Native Math Equations**: LaTeX math (`$$...$$`, `\[...\]`, `$...$`, `\(...\)`) converted to editable Word equations.
- **Mermaid Diagrams**: Mermaid flowcharts and sequence diagrams rendered as images in the document.
- **Citations & References**: Auto-generates a References section from OpenWebUI sources with clickable citation links.
- **Reasoning Stripping**: Automatically removes AI thinking blocks (`<think>`, `<analysis>`) from exports.
- **Enhanced Tables**: Smart column widths, column alignment (`:---`, `---:`, `:---:`), header row repeat across pages.
- **Blockquote Support**: Markdown blockquotes are rendered with left border and gray styling.
- **Multi-language Support**: Properly handles both Chinese and English text.
- **Smarter Filenames**: Configurable title source (Chat Title, AI Generated, or Markdown Title).
- **S3 Object Storage Support**: Direct access to images stored in S3/MinIO via boto3, bypassing API layer for faster exports.
- 🔧 **Multi-level File Fallback**: 6-level fallback mechanism for file retrieval (DB → S3 → Local → URL → API → Attributes).
- 🛡️ **Improved Error Handling**: Better logging and error messages for file retrieval failures.
## Configuration
## ✨ Key Features
You can configure the following settings via the **Valves** button in the plugin settings:
- 🚀 **One-Click Export**: Adds an "Export to Word" action button to the chat.
- 📄 **Markdown Conversion**: Full Markdown syntax support (headings, bold, italic, code, tables, lists).
- 🎨 **Syntax Highlighting**: Code blocks highlighted with Pygments (500+ languages).
- 🔢 **Native Math Equations**: LaTeX math (`$$...$$`, `\[...\]`, `$...$`) converted to editable Word equations.
- 📊 **Mermaid Diagrams**: Flowcharts and sequence diagrams rendered as images.
- 📚 **Citations & References**: Auto-generates References section with clickable citation links.
- 🧹 **Reasoning Stripping**: Automatically removes AI thinking blocks (`<think>`, `<analysis>`).
- 📋 **Enhanced Tables**: Smart column widths, alignment, header row repeat across pages.
- 💬 **Blockquote Support**: Markdown blockquotes with left border and gray styling.
- 🌐 **Multi-language Support**: Proper handling of Chinese and English text.
- **TITLE_SOURCE**: Choose how the document title/filename is generated.
- `chat_title`: Use the conversation title (default).
- `ai_generated`: Use AI to generate a short title based on the content.
- `markdown_title`: Extract the first h1/h2 heading from the Markdown content.
- **MAX_EMBED_IMAGE_MB**: Maximum image size to embed into DOCX (MB). Default: `20`.
- **UI_LANGUAGE**: User interface language, supports `en` (English) and `zh` (Chinese). Default: `en`.
- **FONT_LATIN**: Font name for Latin characters. Default: `Times New Roman`.
- **FONT_ASIAN**: Font name for Asian characters. Default: `SimSun`.
- **FONT_CODE**: Font name for code blocks. Default: `Consolas`.
- **TABLE_HEADER_COLOR**: Table header background color (Hex without #). Default: `F2F2F2`.
- **TABLE_ZEBRA_COLOR**: Table alternating row background color (Hex without #). Default: `FBFBFB`.
- **MERMAID_JS_URL**: URL for the Mermaid.js library.
- **MERMAID_JSZIP_URL**: URL for the JSZip library (required for DOCX manipulation).
- **MERMAID_PNG_SCALE**: Scale factor for Mermaid PNG generation (Resolution). Default: `3.0`.
- **MERMAID_DISPLAY_SCALE**: Scale factor for Mermaid visual size in Word. Default: `1.0`.
- **MERMAID_OPTIMIZE_LAYOUT**: Automatically convert LR (Left-Right) flowcharts to TD (Top-Down). Default: `False`.
- **MERMAID_BACKGROUND**: Background color for Mermaid diagrams (e.g., `white`, `transparent`). Default: `transparent`.
- **MERMAID_CAPTIONS_ENABLE**: Enable/disable figure captions for Mermaid diagrams. Default: `True`.
- **MERMAID_CAPTION_STYLE**: Paragraph style name for Mermaid captions. Default: `Caption`.
- **MERMAID_CAPTION_PREFIX**: Caption prefix label (e.g., 'Figure'). Empty = auto-detect based on language.
- **MATH_ENABLE**: Enable LaTeX math block conversion (`\[...\]` and `$$...$$`). Default: `True`.
- **MATH_INLINE_DOLLAR_ENABLE**: Enable inline `$ ... $` math conversion. Default: `True`.
## 🚀 How to Use
## Supported Markdown Syntax
1. **Install**: Search for "Export to Word" in the Open WebUI Community and install.
2. **Trigger**: In any chat, click the "Export to Word" action button.
3. **Download**: The .docx file will be automatically downloaded.
| Syntax | Word Result |
| :---------------------------------- | :------------------------------------ |
| `# Heading 1` to `###### Heading 6` | Heading levels 1-6 |
| `**bold**` or `__bold__` | Bold text |
| `*italic*` or `_italic_` | Italic text |
| `***bold italic***` | Bold + Italic |
| `` `inline code` `` | Monospace with gray background |
| ` ``` code block ``` ` | **Syntax highlighted** code block |
| `> blockquote` | Left-bordered gray italic text |
| `[link](url)` | Blue underlined link text |
| `~~strikethrough~~` | Strikethrough text |
| `- item` or `* item` | Bullet list |
| `1. item` | Numbered list |
| Markdown tables | **Enhanced table** with smart widths |
| `---` or `***` | Horizontal rule |
| `$$LaTeX$$` or `\[LaTeX\]` | **Native Word equation** (display) |
| `$LaTeX$` or `\(LaTeX\)` | **Native Word equation** (inline) |
| ` ```mermaid ... ``` ` | **Mermaid diagram** as image |
| `[1]` citation markers | **Clickable links** to References |
## ⚙️ Configuration (Valves)
## Usage
| Parameter | Default | Description |
| :--- | :--- | :--- |
| **Title Source (TITLE_SOURCE)** | `chat_title` | `chat_title`, `ai_generated`, or `markdown_title` |
| **Max Image Size (MAX_EMBED_IMAGE_MB)** | `20` | Maximum image size to embed (MB) |
| **UI Language (UI_LANGUAGE)** | `en` | `en` (English) or `zh` (Chinese) |
| **Latin Font (FONT_LATIN)** | `Times New Roman` | Font for Latin characters |
| **Asian Font (FONT_ASIAN)** | `SimSun` | Font for Asian characters |
| **Code Font (FONT_CODE)** | `Consolas` | Font for code blocks |
| **Table Header Color** | `F2F2F2` | Header background color (hex) |
| **Table Zebra Color** | `FBFBFB` | Alternating row color (hex) |
| **Mermaid PNG Scale** | `3.0` | Resolution multiplier for Mermaid images |
| **Math Enable** | `True` | Enable LaTeX math conversion |
1. Install the plugin.
2. In any chat, click the "Export to Word" button.
3. The .docx file will be automatically downloaded to your device.
## 🛠️ Supported Markdown Syntax
## Requirements
| Syntax | Word Result |
| :--- | :--- |
| `# Heading 1` to `###### Heading 6` | Heading levels 1-6 |
| `**bold**` or `__bold__` | Bold text |
| `*italic*` or `_italic_` | Italic text |
| `` `inline code` `` | Monospace with gray background |
| ` ``` code block ``` ` | **Syntax highlighted** code block |
| `> blockquote` | Left-bordered gray italic text |
| `[link](url)` | Blue underlined link |
| `~~strikethrough~~` | Strikethrough text |
| `- item` or `* item` | Bullet list |
| `1. item` | Numbered list |
| Markdown tables | **Enhanced table** with smart widths |
| `$$LaTeX$$` or `\[LaTeX\]` | **Native Word equation** (display) |
| `$LaTeX$` or `\(LaTeX\)` | **Native Word equation** (inline) |
| ` ```mermaid ... ``` ` | **Mermaid diagram** as image |
| `[1]` citation markers | **Clickable links** to References |
## 📦 Requirements
- `python-docx==1.1.2` - Word document generation
- `Pygments>=2.15.0` - Syntax highlighting
- `latex2mathml` - LaTeX to MathML conversion
- `mathml2omml` - MathML to Office Math (OMML) conversion
All dependencies are declared in the plugin docstring.
## 📝 Changelog
## Font Configuration
### v0.4.2
- **S3 Object Storage**: Direct S3/MinIO access via boto3 for faster image retrieval.
- **6-Level Fallback**: Robust file retrieval: DB → S3 → Local → URL → API → Attributes.
- **Better Logging**: Improved error messages for debugging file access issues.
- **English Text**: Times New Roman
- **Chinese Text**: SimSun (宋体) for body, SimHei (黑体) for headings
- **Code**: Consolas
## Changelog
### v0.4.1
- **Chinese Parameter Names**: Localized configuration names for Chinese version.
### v0.4.0
- **Multi-language Support**: Added UI language switching (English/Chinese) with localized messages.
- **Font & Style Configuration**: Customizable fonts for Latin/Asian text and code, plus table colors.
- **Mermaid Enhancements**:
- Hybrid client-side rendering (SVG+PNG) for better clarity and compatibility.
- Configurable background color, fixing issues in dark mode.
- Added error boundaries to prevent export failures on render errors.
- **Performance**: Real-time progress updates for large document exports.
- **Bug Fixes**:
- Fixed parsing errors in Markdown tables containing code blocks or links.
- Fixed parsing issues with underscores (`_`), asterisks (`*`), and tildes (`~`) used as long separators.
- Enhanced error handling for image embedding.
### v0.3.0
- **Mermaid Diagrams**: Native support for rendering Mermaid diagrams as images in Word.
- **Native Math**: Converts LaTeX equations to native Office MathML for editable equations.
- **Citations**: Automatic bibliography generation and citation linking.
- **Reasoning Removal**: Option to strip `<think>` blocks from the output.
- **Table Enhancements**: Improved table formatting with smart column widths.
### v0.2.0
- Added native math equation support (LaTeX → OMML)
- Added Mermaid diagram rendering
- Added citations and references section generation
- Added automatic reasoning block stripping
- Enhanced table formatting with smart column widths and alignment
### v0.1.1
- Initial release with basic Markdown to Word conversion
## Author
Fu-Jie
GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
## License
MIT License
- **Multi-language Support**: UI language switching (English/Chinese).
- **Font & Style Configuration**: Customizable fonts and table colors.
- **Mermaid Enhancements**: Hybrid SVG+PNG rendering, background color config.
- **Performance**: Real-time progress updates for large exports.

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# 导出为 Word
# 📝 导出为 Word (增强版)
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.4.2 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
将对话导出为 Word (.docx),支持**代码语法高亮**、**原生数学公式**、**Mermaid 图表**、**引用参考**和**增强表格格式**。
## 功能特点
## 🔥 v0.4.2 更新内容
- **一键导出**:在聊天界面添加"导出为 Word"动作按钮
- **Markdown 转换**:将 Markdown 语法转换为 Word 格式(标题、粗体、斜体、代码、表格、列表)。
- **代码语法高亮**:使用 Pygments 库为代码块添加语法高亮(支持 500+ 种语言)
- **原生数学公式**LaTeX 公式(`$$...$$``\[...\]``$...$``\(...\)`)转换为可编辑的 Word 公式。
- **Mermaid 图表**Mermaid 流程图和时序图渲染为文档中的图片。
- **引用与参考**:自动从 OpenWebUI 来源生成参考资料章节,支持可点击的引用链接。
- **移除思考过程**:自动移除 AI 思考块(`<think>``<analysis>`)。
- **增强表格**:智能列宽、列对齐(`:---``---:``:---:`)、表头跨页重复。
- **引用块支持**Markdown 引用块渲染为带左侧边框的灰色斜体样式。
- **多语言支持**:正确处理中文和英文文本,无乱码问题。
- **智能文件名**可配置标题来源对话标题、AI 生成或 Markdown 标题)。
- **S3 对象存储支持**: 通过 boto3 直连 S3/MinIO绕过 API 层,导出速度更快
- 🔧 **多级文件回退**: 6 级文件获取机制(数据库 → S3 → 本地 → URL → API → 属性)。
- 🛡️ **错误处理优化**: 更完善的日志记录和错误提示,便于调试文件访问问题
## 配置
## ✨ 核心特性
您可以通过插件设置中的 **Valves** 按钮配置以下选项:
- 🚀 **一键导出**: 在聊天界面添加"导出为 Word"动作按钮。
- 📄 **Markdown 转换**: 完整支持 Markdown 语法(标题、粗体、斜体、代码、表格、列表)。
- 🎨 **代码语法高亮**: 使用 Pygments 库高亮代码块(支持 500+ 种语言)。
- 🔢 **原生数学公式**: LaTeX 公式(`$$...$$``\[...\]``$...$`)转换为可编辑的 Word 公式。
- 📊 **Mermaid 图表**: 流程图和时序图渲染为文档中的图片。
- 📚 **引用与参考**: 自动生成参考资料章节,支持可点击的引用链接。
- 🧹 **移除思考过程**: 自动移除 AI 思考块(`<think>``<analysis>`)。
- 📋 **增强表格**: 智能列宽、对齐、表头跨页重复。
- 💬 **引用块支持**: Markdown 引用块渲染为带左侧边框的灰色斜体样式。
- 🌐 **多语言支持**: 正确处理中文和英文文本。
- **文档标题来源**:选择文档标题/文件名的生成方式。
- `chat_title`:使用对话标题(默认)。
- `ai_generated`:使用 AI 根据内容生成简短标题。
- `markdown_title`:从 Markdown 内容中提取第一个一级或二级标题。
- **最大嵌入图片大小MB**:嵌入图片的最大大小 (MB)。默认:`20`
- **界面语言**:界面语言,支持 `en` (英语) 和 `zh` (中文)。默认:`zh`
- **英文字体**:英文字体名称。默认:`Calibri`
- **中文字体**:中文字体名称。默认:`SimSun`
- **代码字体**:代码字体名称。默认:`Consolas`
- **表头背景色**:表头背景色(十六进制,不带#)。默认:`F2F2F2`
- **表格隔行背景色**:表格隔行背景色(十六进制,不带#)。默认:`FBFBFB`
- **Mermaid_JS地址**Mermaid.js 库的 URL。
- **JSZip库地址**JSZip 库的 URL用于 DOCX 操作)。
- **Mermaid_PNG缩放比例**Mermaid PNG 生成缩放比例(分辨率)。默认:`3.0`
- **Mermaid显示比例**Mermaid 在 Word 中的显示比例(视觉大小)。默认:`1.0`
- **Mermaid布局优化**:自动将 LR左右流程图转换为 TD上下。默认`False`
- **Mermaid背景色**Mermaid 图表背景色(如 `white`, `transparent`)。默认:`transparent`
- **启用Mermaid图注**:启用/禁用 Mermaid 图表的图注。默认:`True`
- **Mermaid图注样式**Mermaid 图注的段落样式名称。默认:`Caption`
- **Mermaid图注前缀**:图注前缀(如 '图')。留空则根据语言自动检测。
- **启用数学公式**:启用 LaTeX 数学公式块转换(`\[...\]``$$...$$`)。默认:`True`
- **启用行内公式**:启用行内 `$ ... $` 数学公式转换。默认:`True`
## 🚀 使用方法
## 支持的 Markdown 语法
1. **安装**: 在 Open WebUI 社区搜索 "导出为 Word" 并安装。
2. **触发**: 在任意对话中,点击"导出为 Word"动作按钮。
3. **下载**: .docx 文件将自动下载到你的设备。
| 语法 | Word 效果 |
| :---------------------------- | :-------------------------------- |
| `# 标题1``###### 标题6` | 标题级别 1-6 |
| `**粗体**``__粗体__` | 粗体文本 |
| `*斜体*``_斜体_` | 斜体文本 |
| `***粗斜体***` | 粗体 + 斜体 |
| `` `行内代码` `` | 等宽字体 + 灰色背景 |
| ` ``` 代码块 ``` ` | **语法高亮**的代码块 |
| `> 引用文本` | 带左侧边框的灰色斜体文本 |
| `[链接](url)` | 蓝色下划线链接文本 |
| `~~删除线~~` | 删除线文本 |
| `- 项目``* 项目` | 无序列表 |
| `1. 项目` | 有序列表 |
| Markdown 表格 | **增强表格**(智能列宽) |
| `---``***` | 水平分割线 |
| `$$LaTeX$$``\[LaTeX\]` | **原生 Word 公式**(块级) |
| `$LaTeX$``\(LaTeX\)` | **原生 Word 公式**(行内) |
| ` ```mermaid ... ``` ` | **Mermaid 图表**(图片形式) |
| `[1]` 引用标记 | **可点击链接**到参考资料 |
## ⚙️ 配置参数 (Valves)
## 使用方法
| 参数 | 默认值 | 说明 |
| :--- | :--- | :--- |
| **文档标题来源** | `chat_title` | `chat_title`(对话标题)、`ai_generated`AI 生成)、`markdown_title`Markdown 标题)|
| **最大嵌入图片大小MB** | `20` | 嵌入图片的最大大小 (MB) |
| **界面语言** | `zh` | `en`(英语)或 `zh`(中文)|
| **英文字体** | `Calibri` | 英文字体名称 |
| **中文字体** | `SimSun` | 中文字体名称 |
| **代码字体** | `Consolas` | 代码块字体名称 |
| **表头背景色** | `F2F2F2` | 表头背景色(十六进制)|
| **表格隔行背景色** | `FBFBFB` | 表格隔行背景色(十六进制)|
| **Mermaid_PNG缩放比例** | `3.0` | Mermaid 图片分辨率倍数 |
| **启用数学公式** | `True` | 启用 LaTeX 公式转换 |
1. 安装插件。
2. 在任意对话中,点击"导出为 Word"按钮。
3. .docx 文件将自动下载到你的设备。
## 🛠️ 支持的 Markdown 语法
## 依赖
| 语法 | Word 效果 |
| :--- | :--- |
| `# 标题1``###### 标题6` | 标题级别 1-6 |
| `**粗体**``__粗体__` | 粗体文本 |
| `*斜体*``_斜体_` | 斜体文本 |
| `` `行内代码` `` | 等宽字体 + 灰色背景 |
| ` ``` 代码块 ``` ` | **语法高亮**的代码块 |
| `> 引用文本` | 带左侧边框的灰色斜体文本 |
| `[链接](url)` | 蓝色下划线链接文本 |
| `~~删除线~~` | 删除线文本 |
| `- 项目``* 项目` | 无序列表 |
| `1. 项目` | 有序列表 |
| Markdown 表格 | **增强表格**(智能列宽)|
| `$$LaTeX$$``\[LaTeX\]` | **原生 Word 公式**(块级)|
| `$LaTeX$``\(LaTeX\)` | **原生 Word 公式**(行内)|
| ` ```mermaid ... ``` ` | **Mermaid 图表**(图片形式)|
| `[1]` 引用标记 | **可点击链接**到参考资料 |
## 📦 依赖
- `python-docx==1.1.2` - Word 文档生成
- `Pygments>=2.15.0` - 语法高亮
- `latex2mathml` - LaTeX 转 MathML
- `mathml2omml` - MathML 转 Office Math (OMML)
所有依赖已在插件文档字符串中声明。
## 📝 更新日志
## 字体配置
- **英文文本**Times New Roman
- **中文文本**:宋体(正文)、黑体(标题)
- **代码**Consolas
## 更新日志
### v0.4.2
- **S3 对象存储**: 通过 boto3 直连 S3/MinIO图片获取速度更快。
- **6 级回退机制**: 稳健的文件获取:数据库 → S3 → 本地 → URL → API → 属性。
- **日志优化**: 改进错误提示,便于调试文件访问问题。
### v0.4.1
- **中文参数名**: 将插件配置项名称和描述全部汉化,提升中文用户体验。
- **中文参数名**: 配置项名称和描述全部汉化。
### v0.4.0
- **多语言支持**: 新增界面语言切换(中文/英文),提示信息更友好。
- **多语言支持**: 界面语言切换(中文/英文)。
- **字体与样式配置**: 支持自定义中英文字体、代码字体以及表格颜色。
- **Mermaid 增强**:
- 客户端混合渲染SVG+PNG提高清晰度与兼容性。
- 支持背景色配置,修复深色模式下的显示问题。
- 增加错误边界,渲染失败时显示提示而非中断导出。
- **Mermaid 增强**: 混合 SVG+PNG 渲染,支持背景色配置。
- **性能优化**: 导出大型文档时提供实时进度反馈。
- **Bug 修复**:
- 修复 Markdown 表格中包含代码块或链接时的解析错误。
- 修复下划线(`_`)、星号(`*`)、波浪号(`~`)作为长分隔符时的解析问题。
- 增强图片嵌入的错误处理。
### v0.3.0
- **Mermaid 图表**: 原生支持将 Mermaid 图表渲染为 Word 中的图片。
- **原生公式**: 将 LaTeX 公式转换为原生 Office MathML支持在 Word 中编辑。
- **引用参考**: 自动生成参考文献列表并链接引用。
- **移除推理**: 选项支持从输出中移除 `<think>` 推理块。
- **表格增强**: 改进表格格式,支持智能列宽。
### v0.2.0
- 新增原生数学公式支持LaTeX → OMML
- 新增 Mermaid 图表渲染
- 新增引用与参考资料章节生成
- 新增自动移除 AI 思考块
- 增强表格格式(智能列宽、对齐)
### v0.1.1
- 初始版本,支持基本 Markdown 转 Word
## 作者
Fu-Jie
GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
## 许可证
MIT License

View File

@@ -3,7 +3,7 @@ title: Export to Word (Enhanced)
author: Fu-Jie
author_url: https://github.com/Fu-Jie
funding_url: https://github.com/Fu-Jie/awesome-openwebui
version: 0.4.1
version: 0.4.2
icon_url: data:image/svg+xml;base64,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
requirements: python-docx, Pygments, latex2mathml, mathml2omml
description: Export current conversation from Markdown to Word (.docx) with Mermaid diagrams rendered client-side (Mermaid.js, SVG+PNG), LaTeX math, real hyperlinks, improved tables, syntax highlighting, and blockquote support.
@@ -65,6 +65,16 @@ try:
except Exception:
LATEX_MATH_AVAILABLE = False
# boto3 for S3 direct access (faster than API fallback)
try:
import boto3
from botocore.config import Config as BotoConfig
import os
BOTO3_AVAILABLE = True
except ImportError:
BOTO3_AVAILABLE = False
logging.basicConfig(
level=logging.INFO,
@@ -290,6 +300,8 @@ class Action:
self._bookmark_id_counter: int = 1
self._active_doc: Optional[Document] = None
self._user_lang: str = "en" # Will be set per-request
self._api_token: Optional[str] = None
self._api_base_url: Optional[str] = None
def _get_lang_key(self, user_language: str) -> str:
"""Convert user language code to i18n key (e.g., 'zh-CN' -> 'zh', 'en-US' -> 'en')."""
@@ -349,6 +361,22 @@ class Action:
# Get user language from Valves configuration
self._user_lang = self._get_lang_key(self.valves.UI_LANGUAGE)
# Extract API connection info for file fetching (S3/Object Storage support)
def _get_default_base_url() -> str:
port = os.environ.get("PORT") or "8080"
return f"http://localhost:{port}"
if __request__:
try:
self._api_token = __request__.headers.get("Authorization")
self._api_base_url = str(__request__.base_url).rstrip("/")
except Exception:
self._api_token = None
self._api_base_url = _get_default_base_url()
else:
self._api_token = None
self._api_base_url = _get_default_base_url()
if __event_emitter__:
last_assistant_message = body["messages"][-1]
@@ -1075,19 +1103,85 @@ class Action:
b64 = m.group("b64") or ""
return self._decode_base64_limited(b64, max_bytes)
def _read_from_s3(self, s3_path: str, max_bytes: int) -> Optional[bytes]:
"""Read file directly from S3 using environment variables for credentials."""
if not BOTO3_AVAILABLE:
return None
# Parse s3://bucket/key
if not s3_path.startswith("s3://"):
return None
path_without_prefix = s3_path[5:] # Remove 's3://'
parts = path_without_prefix.split("/", 1)
if len(parts) < 2:
return None
bucket = parts[0]
key = parts[1]
# Read S3 config from environment variables
endpoint_url = os.environ.get("S3_ENDPOINT_URL")
access_key = os.environ.get("S3_ACCESS_KEY_ID")
secret_key = os.environ.get("S3_SECRET_ACCESS_KEY")
addressing_style = os.environ.get("S3_ADDRESSING_STYLE", "auto")
if not all([endpoint_url, access_key, secret_key]):
logger.debug(
"S3 environment variables not fully configured, skipping S3 direct download."
)
return None
try:
s3_config = BotoConfig(
s3={"addressing_style": addressing_style},
connect_timeout=5,
read_timeout=15,
)
s3_client = boto3.client(
"s3",
endpoint_url=endpoint_url,
aws_access_key_id=access_key,
aws_secret_access_key=secret_key,
config=s3_config,
)
response = s3_client.get_object(Bucket=bucket, Key=key)
body = response["Body"]
data = body.read(max_bytes + 1)
body.close()
if len(data) > max_bytes:
return None
return data
except Exception as e:
logger.warning(f"S3 direct download failed for {s3_path}: {e}")
return None
def _image_bytes_from_owui_file_id(
self, file_id: str, max_bytes: int
) -> Optional[bytes]:
if not file_id or Files is None:
return None
try:
file_obj = Files.get_file_by_id(file_id)
except Exception:
return None
if not file_obj:
if not file_id:
return None
# Common patterns across Open WebUI versions / storage backends.
if Files is None:
logger.error(
"Files model is not available (import failed). Cannot retrieve file content."
)
return None
try:
file_obj = Files.get_file_by_id(file_id)
except Exception as e:
logger.error(f"Files.get_file_by_id({file_id}) failed: {e}")
return None
if not file_obj:
logger.warning(f"File {file_id} not found in database.")
return None
# 1. Try data field (DB stored)
data_field = getattr(file_obj, "data", None)
if isinstance(data_field, dict):
blob_value = data_field.get("bytes")
@@ -1099,19 +1193,119 @@ class Action:
if isinstance(inline, str) and inline.strip():
return self._decode_base64_limited(inline, max_bytes)
# 2. Try S3 direct download (fastest for object storage)
s3_path = getattr(file_obj, "path", None)
if isinstance(s3_path, str) and s3_path.startswith("s3://"):
s3_data = self._read_from_s3(s3_path, max_bytes)
if s3_data is not None:
return s3_data
# 3. Try file paths (Disk stored)
# We try multiple path variations to be robust against CWD differences (e.g. Docker vs Local)
for attr in ("path", "file_path", "absolute_path"):
candidate = getattr(file_obj, attr, None)
if isinstance(candidate, str) and candidate.strip():
raw = self._read_file_bytes_limited(Path(candidate), max_bytes)
# Skip obviously non-local paths (S3, GCS, HTTP)
if re.match(r"^(s3://|gs://|https?://)", candidate, re.IGNORECASE):
logger.debug(f"Skipping local read for non-local path: {candidate}")
continue
p = Path(candidate)
# Attempt 1: As-is (Absolute or relative to CWD)
raw = self._read_file_bytes_limited(p, max_bytes)
if raw is not None:
return raw
# Attempt 2: Relative to ./data (Common in OpenWebUI)
if not p.is_absolute():
try:
raw = self._read_file_bytes_limited(
Path("./data") / p, max_bytes
)
if raw is not None:
return raw
except Exception:
pass
# Attempt 3: Relative to /app/backend/data (Docker default)
try:
raw = self._read_file_bytes_limited(
Path("/app/backend/data") / p, max_bytes
)
if raw is not None:
return raw
except Exception:
pass
# 4. Try URL (Object Storage / S3 Public URL)
urls_to_try = []
url_attr = getattr(file_obj, "url", None)
if isinstance(url_attr, str) and url_attr:
urls_to_try.append(url_attr)
if isinstance(data_field, dict):
url_data = data_field.get("url")
if isinstance(url_data, str) and url_data:
urls_to_try.append(url_data)
if urls_to_try:
import urllib.request
for url in urls_to_try:
if not url.startswith(("http://", "https://")):
continue
try:
logger.info(
f"Attempting to download file {file_id} from URL: {url}"
)
# Use a timeout to avoid hanging
req = urllib.request.Request(
url, headers={"User-Agent": "OpenWebUI-Export-Plugin"}
)
with urllib.request.urlopen(req, timeout=15) as response:
if 200 <= response.status < 300:
data = response.read(max_bytes + 1)
if len(data) <= max_bytes:
return data
else:
logger.warning(
f"File {file_id} from URL is too large (> {max_bytes} bytes)"
)
except Exception as e:
logger.warning(f"Failed to download {file_id} from {url}: {e}")
# 5. Try fetching via Local API (Last resort for S3/Object Storage without direct URL)
# If we have the API token and base URL, we can try to fetch the content through the backend API.
if self._api_base_url:
api_url = f"{self._api_base_url}/api/v1/files/{file_id}/content"
try:
import urllib.request
headers = {"User-Agent": "OpenWebUI-Export-Plugin"}
if self._api_token:
headers["Authorization"] = self._api_token
req = urllib.request.Request(api_url, headers=headers)
with urllib.request.urlopen(req, timeout=15) as response:
if 200 <= response.status < 300:
data = response.read(max_bytes + 1)
if len(data) <= max_bytes:
return data
except Exception:
# API fetch failed, just fall through to the next method
pass
# 6. Try direct content attributes (last ditch)
for attr in ("content", "blob", "data"):
raw = getattr(file_obj, attr, None)
if isinstance(raw, (bytes, bytearray)):
b = bytes(raw)
return b if len(b) <= max_bytes else None
logger.warning(
f"File {file_id} found but no content accessible. Attributes: {dir(file_obj)}"
)
return None
def _add_image_placeholder(self, paragraph, alt: str, reason: str):

View File

@@ -3,7 +3,7 @@ title: 导出为 Word (增强版)
author: Fu-Jie
author_url: https://github.com/Fu-Jie
funding_url: https://github.com/Fu-Jie/awesome-openwebui
version: 0.4.1
version: 0.4.2
icon_url: data:image/svg+xml;base64,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
requirements: python-docx, Pygments, latex2mathml, mathml2omml
description: 将对话导出为 Word (.docx),支持 Mermaid 图表 (客户端渲染 SVG+PNG)、LaTeX 数学公式、真实超链接、增强表格格式、代码高亮和引用块。
@@ -65,6 +65,16 @@ try:
except Exception:
LATEX_MATH_AVAILABLE = False
# boto3 for S3 direct access (faster than API fallback)
try:
import boto3
from botocore.config import Config as BotoConfig
import os
BOTO3_AVAILABLE = True
except ImportError:
BOTO3_AVAILABLE = False
logging.basicConfig(
level=logging.INFO,
@@ -290,6 +300,8 @@ class Action:
self._bookmark_id_counter: int = 1
self._active_doc: Optional[Document] = None
self._user_lang: str = "en" # Will be set per-request
self._api_token: Optional[str] = None
self._api_base_url: Optional[str] = None
def _get_lang_key(self, user_language: str) -> str:
"""Convert user language code to i18n key (e.g., 'zh-CN' -> 'zh', 'en-US' -> 'en')."""
@@ -347,6 +359,22 @@ class Action:
# Get user language from Valves configuration
self._user_lang = self._get_lang_key(self.valves.界面语言)
# Extract API connection info for file fetching (S3/Object Storage support)
def _get_default_base_url() -> str:
port = os.environ.get("PORT") or "8080"
return f"http://localhost:{port}"
if __request__:
try:
self._api_token = __request__.headers.get("Authorization")
self._api_base_url = str(__request__.base_url).rstrip("/")
except Exception:
self._api_token = None
self._api_base_url = _get_default_base_url()
else:
self._api_token = None
self._api_base_url = _get_default_base_url()
if __event_emitter__:
last_assistant_message = body["messages"][-1]
@@ -1073,19 +1101,85 @@ class Action:
b64 = m.group("b64") or ""
return self._decode_base64_limited(b64, max_bytes)
def _read_from_s3(self, s3_path: str, max_bytes: int) -> Optional[bytes]:
"""Read file directly from S3 using environment variables for credentials."""
if not BOTO3_AVAILABLE:
return None
# Parse s3://bucket/key
if not s3_path.startswith("s3://"):
return None
path_without_prefix = s3_path[5:] # Remove 's3://'
parts = path_without_prefix.split("/", 1)
if len(parts) < 2:
return None
bucket = parts[0]
key = parts[1]
# Read S3 config from environment variables
endpoint_url = os.environ.get("S3_ENDPOINT_URL")
access_key = os.environ.get("S3_ACCESS_KEY_ID")
secret_key = os.environ.get("S3_SECRET_ACCESS_KEY")
addressing_style = os.environ.get("S3_ADDRESSING_STYLE", "auto")
if not all([endpoint_url, access_key, secret_key]):
logger.debug(
"S3 environment variables not fully configured, skipping S3 direct download."
)
return None
try:
s3_config = BotoConfig(
s3={"addressing_style": addressing_style},
connect_timeout=5,
read_timeout=15,
)
s3_client = boto3.client(
"s3",
endpoint_url=endpoint_url,
aws_access_key_id=access_key,
aws_secret_access_key=secret_key,
config=s3_config,
)
response = s3_client.get_object(Bucket=bucket, Key=key)
body = response["Body"]
data = body.read(max_bytes + 1)
body.close()
if len(data) > max_bytes:
return None
return data
except Exception as e:
logger.warning(f"S3 direct download failed for {s3_path}: {e}")
return None
def _image_bytes_from_owui_file_id(
self, file_id: str, max_bytes: int
) -> Optional[bytes]:
if not file_id or Files is None:
return None
try:
file_obj = Files.get_file_by_id(file_id)
except Exception:
return None
if not file_obj:
if not file_id:
return None
# Common patterns across Open WebUI versions / storage backends.
if Files is None:
logger.error(
"Files model is not available (import failed). Cannot retrieve file content."
)
return None
try:
file_obj = Files.get_file_by_id(file_id)
except Exception as e:
logger.error(f"Files.get_file_by_id({file_id}) failed: {e}")
return None
if not file_obj:
logger.warning(f"File {file_id} not found in database.")
return None
# 1. Try data field (DB stored)
data_field = getattr(file_obj, "data", None)
if isinstance(data_field, dict):
blob_value = data_field.get("bytes")
@@ -1097,19 +1191,119 @@ class Action:
if isinstance(inline, str) and inline.strip():
return self._decode_base64_limited(inline, max_bytes)
# 2. Try S3 direct download (fastest for object storage)
s3_path = getattr(file_obj, "path", None)
if isinstance(s3_path, str) and s3_path.startswith("s3://"):
s3_data = self._read_from_s3(s3_path, max_bytes)
if s3_data is not None:
return s3_data
# 3. Try file paths (Disk stored)
# We try multiple path variations to be robust against CWD differences (e.g. Docker vs Local)
for attr in ("path", "file_path", "absolute_path"):
candidate = getattr(file_obj, attr, None)
if isinstance(candidate, str) and candidate.strip():
raw = self._read_file_bytes_limited(Path(candidate), max_bytes)
# Skip obviously non-local paths (S3, GCS, HTTP)
if re.match(r"^(s3://|gs://|https?://)", candidate, re.IGNORECASE):
logger.debug(f"Skipping local read for non-local path: {candidate}")
continue
p = Path(candidate)
# Attempt 1: As-is (Absolute or relative to CWD)
raw = self._read_file_bytes_limited(p, max_bytes)
if raw is not None:
return raw
# Attempt 2: Relative to ./data (Common in OpenWebUI)
if not p.is_absolute():
try:
raw = self._read_file_bytes_limited(
Path("./data") / p, max_bytes
)
if raw is not None:
return raw
except Exception:
pass
# Attempt 3: Relative to /app/backend/data (Docker default)
try:
raw = self._read_file_bytes_limited(
Path("/app/backend/data") / p, max_bytes
)
if raw is not None:
return raw
except Exception:
pass
# 4. Try URL (Object Storage / S3 Public URL)
urls_to_try = []
url_attr = getattr(file_obj, "url", None)
if isinstance(url_attr, str) and url_attr:
urls_to_try.append(url_attr)
if isinstance(data_field, dict):
url_data = data_field.get("url")
if isinstance(url_data, str) and url_data:
urls_to_try.append(url_data)
if urls_to_try:
import urllib.request
for url in urls_to_try:
if not url.startswith(("http://", "https://")):
continue
try:
logger.info(
f"Attempting to download file {file_id} from URL: {url}"
)
# Use a timeout to avoid hanging
req = urllib.request.Request(
url, headers={"User-Agent": "OpenWebUI-Export-Plugin"}
)
with urllib.request.urlopen(req, timeout=15) as response:
if 200 <= response.status < 300:
data = response.read(max_bytes + 1)
if len(data) <= max_bytes:
return data
else:
logger.warning(
f"File {file_id} from URL is too large (> {max_bytes} bytes)"
)
except Exception as e:
logger.warning(f"Failed to download {file_id} from {url}: {e}")
# 5. Try fetching via Local API (Last resort for S3/Object Storage without direct URL)
# If we have the API token and base URL, we can try to fetch the content through the backend API.
if self._api_base_url:
api_url = f"{self._api_base_url}/api/v1/files/{file_id}/content"
try:
import urllib.request
headers = {"User-Agent": "OpenWebUI-Export-Plugin"}
if self._api_token:
headers["Authorization"] = self._api_token
req = urllib.request.Request(api_url, headers=headers)
with urllib.request.urlopen(req, timeout=15) as response:
if 200 <= response.status < 300:
data = response.read(max_bytes + 1)
if len(data) <= max_bytes:
return data
except Exception:
# API fetch failed, just fall through to the next method
pass
# 6. Try direct content attributes (last ditch)
for attr in ("content", "blob", "data"):
raw = getattr(file_obj, attr, None)
if isinstance(raw, (bytes, bytearray)):
b = bytes(raw)
return b if len(b) <= max_bytes else None
logger.warning(
f"File {file_id} found but no content accessible. Attributes: {dir(file_obj)}"
)
return None
def _add_image_placeholder(self, paragraph, alt: str, reason: str):

View File

@@ -1,6 +1,6 @@
# 📊 Smart Infographic (AntV)
**Author:** [jeff](https://github.com/Fu-Jie) | **Version:** 1.4.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.4.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
An Open WebUI plugin powered by the AntV Infographic engine. It transforms long text into professional, beautiful infographics with a single click.