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)
84 lines
3.2 KiB
YAML
84 lines
3.2 KiB
YAML
# [!NOTE]
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# Read the `docs/configuration_guide.md` carefully, and update the
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# configurations to match your specific settings and requirements.
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# - Replace `api_key` with your own credentials.
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# - Replace `base_url` and `model` name if you want to use a custom model.
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# - Set `verify_ssl` to `false` if your LLM server uses self-signed certificates
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# - A restart is required every time you change the `conf.yaml` file.
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BASIC_MODEL:
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base_url: https://dashscope.aliyuncs.com/compatible-mode/v1
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model: "qwen3.6-plus"
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api_key: sk-e653053a9ce049b795682194b91a56c9
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max_retries: 3 # Maximum number of retries for LLM calls
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verify_ssl: false # Uncomment this line to disable SSL certificate verification for self-signed certificates
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# Local model configuration example:
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# Ollama (Tested and supported for local development)
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# BASIC_MODEL:
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# base_url: "http://localhost:11434/v1" # Ollama OpenAI compatible endpoint
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# model: "qwen3:14b" # or "llama3.2", etc.
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# api_key: "ollama" # Ollama doesn't need real API key
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# max_retries: 3
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# verify_ssl: false # Local deployment usually doesn't need SSL verification
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# To use Google Ai Studio as your basic platform:
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# BASIC_MODEL:
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# platform: "google_aistudio"
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# model: "gemini-2.5-flash" # or "gemini-1.5-pro", "gemini-2.5-flash-exp", etc.
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# api_key: your_gemini_api_key # Get from https://aistudio.google.com/app/apikey
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# max_retries: 3
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# Reasoning model is optional.
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# Uncomment the following settings if you want to use reasoning model
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# for planning.
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REASONING_MODEL:
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base_url: https://dashscope.aliyuncs.com/compatible-mode/v1
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model: "qwen3.6-plus"
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api_key: sk-e653053a9ce049b795682194b91a56c9
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max_retries: 3 # Maximum number of retries for LLM calls
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# OTHER SETTINGS:
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# Search engine configuration (Only supports Tavily currently)
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# SEARCH_ENGINE:
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# engine: tavily
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# # Only include results from these domains
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# include_domains:
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# - example.com
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# - trusted-news.com
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# - reliable-source.org
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# - gov.cn
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# - edu.cn
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# # Exclude results from these domains
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# exclude_domains:
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# - example.com
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# # Include an answer in the search results
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# include_answer: false
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# # Search depth: "basic" or "advanced"
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# search_depth: "advanced"
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# # Include raw content from pages
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# include_raw_content: true
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# # Include images in search results
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# include_images: true
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# # Include descriptions for images
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# include_image_descriptions: true
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# # Minimum score threshold for results (0-1)
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# min_score_threshold: 0.0
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# # Maximum content length per page
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# max_content_length_per_page: 4000
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sandbox:
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use: DeepFlow.community.aio_sandbox:AioSandboxProvider
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image: enterprise-public-cn-beijing.cr.volces.com/vefaas-public/all-in-one-sandbox:latest
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port: 8080
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auto_start: true
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replicas: 2
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container_prefix: deepdata-DeepFlow-sandbox
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# 把 DeepData 的 dataset 卷透进沙箱,Agent 写报告能直接落到 /dataset/DeepFlow-output
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mounts:
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- host_path: /var/lib/docker/volumes/deepdata-dataset-volume/_data
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container_path: /dataset
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read_only: false |