feat(deepdata): 引入修改密码、文件预览组件与清洗算子增强，deepflow 改名为 deep-flow

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）

deep-flow/.env.example

@@ -0,0 +1,120 @@
+# Application Settings
+# Set to True to enable debug-level logging (shows detailed LLM prompts and responses)
+# Recommended for development and troubleshooting
+DEBUG=True
+APP_ENV=development
+
+# docker build args
+NEXT_PUBLIC_API_URL="http://localhost:8000/api"
+
+AGENT_RECURSION_LIMIT=30
+
+# CORS settings
+# Comma-separated list of allowed origins for CORS requests
+# Example: ALLOWED_ORIGINS=http://localhost:3000,http://example.com
+ALLOWED_ORIGINS=http://localhost:3000
+
+# Enable or disable MCP server configuration, the default is false.
+# Please enable this feature before securing your front-end and back-end in a managed environment.
+# Otherwise, you system could be compromised.
+ENABLE_MCP_SERVER_CONFIGURATION=false
+
+# Enable or disable PYTHON_REPL configuration, the default is false.
+# Please enable this feature before securing your in a managed environment.
+# Otherwise, you system could be compromised.
+ENABLE_PYTHON_REPL=false
+
+# Search Engine, Supported values: tavily (recommended), duckduckgo, brave_search, arxiv, searx
+SEARCH_API=tavily
+TAVILY_API_KEY=tvly-xxx
+# SEARX_HOST=xxx # Required only if SEARCH_API is searx.(compatible with both Searx and SearxNG)
+# BRAVE_SEARCH_API_KEY=xxx # Required only if SEARCH_API is brave_search
+# JINA_API_KEY=jina_xxx # Optional, default is None
+
+# Optional, RAG provider
+# RAG_PROVIDER=vikingdb_knowledge_base
+# VIKINGDB_KNOWLEDGE_BASE_API_URL="api-knowledgebase.mlp.cn-beijing.volces.com"
+# VIKINGDB_KNOWLEDGE_BASE_API_AK="AKxxx"
+# VIKINGDB_KNOWLEDGE_BASE_API_SK=""
+# VIKINGDB_KNOWLEDGE_BASE_RETRIEVAL_SIZE=15
+
+# RAG_PROVIDER=ragflow
+# RAGFLOW_API_URL="http://localhost:9388"
+# RAGFLOW_API_KEY="ragflow-xxx"
+# RAGFLOW_RETRIEVAL_SIZE=10
+# RAGFLOW_CROSS_LANGUAGES=English,Chinese,Spanish,French,German,Japanese,Korean # Optional. To use RAGFlow's cross-language search, please separate each language with a single comma
+
+# RAG_PROVIDER=dify
+# DIFY_API_URL="https://api.dify.ai/v1"
+# DIFY_API_KEY="dataset-xxx"
+
+# MOI is a hybrid database that mainly serves enterprise users (https://www.matrixorigin.io/matrixone-intelligence)
+# RAG_PROVIDER=moi
+# MOI_API_URL="https://cluster.matrixonecloud.cn"
+# MOI_API_KEY="xxx-xxx-xxx-xxx"
+# MOI_RETRIEVAL_SIZE=10
+# MOI_LIST_LIMIT=10
+
+
+# RAG_PROVIDER: milvus  (using free milvus instance on zilliz cloud: https://docs.zilliz.com/docs/quick-start )
+# RAG_PROVIDER=milvus
+# MILVUS_URI=<endpoint_of_self_hosted_milvus_or_zilliz_cloud>
+# MILVUS_USER=<username_of_self_hosted_milvus_or_zilliz_cloud>
+# MILVUS_PASSWORD=<password_of_self_hosted_milvus_or_zilliz_cloud>
+# MILVUS_COLLECTION=documents
+# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
+# MILVUS_EMBEDDING_BASE_URL=
+# MILVUS_EMBEDDING_MODEL=
+# MILVUS_EMBEDDING_API_KEY=
+# MILVUS_AUTO_LOAD_EXAMPLES=true
+
+# RAG_PROVIDER: milvus  (using milvus lite on Mac or Linux)
+# RAG_PROVIDER=milvus
+# MILVUS_URI=./milvus_demo.db
+# MILVUS_COLLECTION=documents
+# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
+# MILVUS_EMBEDDING_BASE_URL=
+# MILVUS_EMBEDDING_MODEL=
+# MILVUS_EMBEDDING_API_KEY=
+# MILVUS_AUTO_LOAD_EXAMPLES=true
+
+# RAG_PROVIDER: qdrant (using qdrant cloud or self-hosted: https://qdrant.tech/documentation/quick-start/)
+# RAG_PROVIDER=qdrant
+# QDRANT_LOCATION=https://xyz-example.eu-central.aws.cloud.qdrant.io:6333
+# QDRANT_API_KEY=<your_qdrant_api_key>  # Optional, only for cloud/authenticated instances
+# QDRANT_COLLECTION=documents
+# QDRANT_EMBEDDING_PROVIDER=openai  # support openai,dashscope
+# QDRANT_EMBEDDING_BASE_URL=
+# QDRANT_EMBEDDING_MODEL=text-embedding-ada-002
+# QDRANT_EMBEDDING_API_KEY=
+# QDRANT_AUTO_LOAD_EXAMPLES=true
+
+# Optional, volcengine TTS for generating podcast
+VOLCENGINE_TTS_APPID=xxx
+VOLCENGINE_TTS_ACCESS_TOKEN=xxx
+# VOLCENGINE_TTS_CLUSTER=volcano_tts # Optional, default is volcano_tts
+# VOLCENGINE_TTS_VOICE_TYPE=BV700_V2_streaming # Optional, default is BV700_V2_streaming
+
+# Optional, for langsmith tracing and monitoring
+# Highly recommended for production debugging and performance monitoring
+# Get your API key from https://smith.langchain.com/
+# LANGSMITH_TRACING=true
+# LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
+# LANGSMITH_API_KEY="xxx"
+# LANGSMITH_PROJECT="xxx"
+
+# Optional, LangChain verbose logging
+# Enable these to see detailed LLM interactions in console/logs
+# Useful for debugging but can be very verbose
+# LANGCHAIN_VERBOSE=true
+# LANGCHAIN_DEBUG=true
+
+# [!NOTE]
+# For model settings and other configurations, please refer to `docs/configuration_guide.md`
+
+# Option, for langgraph mongodb checkpointer
+# Enable LangGraph checkpoint saver, supports MongoDB, Postgres
+#LANGGRAPH_CHECKPOINT_SAVER=true
+# Set the database URL for saving checkpoints
+#LANGGRAPH_CHECKPOINT_DB_URL=mongodb://localhost:27017/
+#LANGGRAPH_CHECKPOINT_DB_URL=postgresql://localhost:5432/postgres