沃巴蒂
ff22ed3a8b
本次同步 09-12 至 09-28 的代码变更，主要内容： 新增功能 - 修改密码：后端新增 ChangePasswordRequest DTO 与UserController/UserService 对应接口，前端新增 ChangePasswordDialog 并在 Header 接入入口 - 文件预览组件重构：file-preview 目录拆分出 VideoPreview（支持 blobUrl 直传）、 ImagePreview、AudioPreview，index.tsx 统一调度各类型预览器 - 新增 my_ops 算子模块：markitdown_parser、mineru_pdf_parser、text_quality_evaluator - 新增 tools/minio-file-server MinIO 文件服务 功能增强 - 数据清洗：cleaning_task_service/scheduler/routes 重构， data_juicer_executor 与 wrapper 增强，OperatorTable/LogsTable/TaskDetail 同步调整 - 数据标注：annotation sync.py、project.py 接口与schema 更新 - 数据采集、算子市场、首页与菜单路由相关页面调整 - DataJuicer 算子接入（useOperatorOperations、dj_ops_schema） 结构调整 - deepflow/ 更名为 deep-flow/（419 个文件重命名） - 新增 helm 部署编排、GitHub Actions 之外的自建镜像构建脚本 未纳入本次提交 - scripts-backup/、runtime/python-executor-backup/、components_backup/（备份目录） - *.backup*、__pycache__ 产物 - zh_core_web_sm-3.8.0-py3-none-any.whl（46MB 构建产物） - DataX/（内嵌独立仓库，远程亦未收录其源码）
DeepFlow Service
Overview
DeepFlow is an LLM-driven service for planning and reasoning tasks, supporting multiple LLM providers.
Architecture
runtime/deep-flow/
├── conf.yaml # DeepFlow configuration file
├── .env # Environment variables
└── (other source code)
Configuration
Basic Configuration (conf.yaml)
# Basic model configuration
BASIC_MODEL:
base_url: https://api.example.com/v1
model: "model-name"
api_key: your_api_key
max_retries: 3
verify_ssl: false # Set to false if using self-signed certificates
# Reasoning model configuration (optional)
REASONING_MODEL:
base_url: https://api.example.com/v1
model: "reasoning-model-name"
api_key: your_api_key
max_retries: 3
# Search engine configuration (optional)
SEARCH_ENGINE:
engine: tavily
include_domains:
- example.com
- trusted-news.com
exclude_domains:
- spam-site.com
search_depth: "advanced"
include_raw_content: true
include_images: true
include_image_descriptions: true
min_score_threshold: 0.0
max_content_length_per_page: 4000
Supported LLM Providers
OpenAI
BASIC_MODEL:
base_url: https://api.openai.com/v1
model: "gpt-4"
api_key: sk-...
Ollama (Local Deployment)
BASIC_MODEL:
base_url: "http://localhost:11434/v1"
model: "qwen2:7b"
api_key: "ollama"
verify_ssl: false
Google AI Studio
BASIC_MODEL:
platform: "google_aistudio"
model: "gemini-2.5-flash"
api_key: your_gemini_api_key
Development
Adding a New LLM Provider
- Add new model configuration in
conf.yaml - Implement corresponding API call logic
- Test connection and inference
Customizing Prompt Templates
- Create a prompt template file
- Reference the template in
conf.yaml - Test prompt effectiveness