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AIRegulation-DocAnalysis/.env

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2026-04-28 11:29:33 +08:00
# 环境变量配置 - 已有数据库服务
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# AI+合规智能中枢
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# ===== 应用配置 =====
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APP_NAME=AI+合规智能中枢
APP_VERSION=0.1.0
DEBUG=false
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# ===== Milvus向量数据库配置（已有）=====
fix 文档管理模块 & 法规对话模块
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MILVUS_HOST=6.86.80.8
first commit
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MILVUS_PORT=19530
Refactor document handling and update Milvus collection settings - Removed multiple failed document entries from `documents.json`. - Added a new document entry with updated metadata and changed the index name to `regulations_dense_1024_v2`. - Updated architecture documentation to reflect changes in the Milvus collection name. - Adjusted requirements by removing the sqlalchemy dependency. - Modified test cases to align with new document structure and naming conventions. - Introduced a new test file for Milvus vector index runtime recovery and error handling. - Updated assertions in various test files to ensure compatibility with the new schema.
2026-05-26 20:21:31 +08:00
MILVUS_COLLECTION=regulations_dense_1024_v2
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MILVUS_DB_NAME=default
fix 文档管理模块 & 法规对话模块
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MILVUS_INDEX_TYPE=IVF_FLAT
MILVUS_NLIST=128
MILVUS_NPROBE=16
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# ===== MinIO对象存储配置（已有）=====
fix 文档管理模块 & 法规对话模块
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MINIO_ENDPOINT=6.86.80.8:9000
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MINIO_ACCESS_KEY=minioadmin
MINIO_SECRET_KEY=minioadmin
MINIO_BUCKET=compliance-docs
MINIO_SECURE=false
update
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# ===== Redis配置（已有）=====
fix 文档管理模块 & 法规对话模块
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REDIS_HOST=6.86.80.8
first commit
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REDIS_PORT=6379
REDIS_PASSWORD=redis@123
REDIS_DB=0
update
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# ===== PostgreSQL配置（已有）=====
fix 文档管理模块 & 法规对话模块
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POSTGRES_HOST=6.86.80.8
first commit
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POSTGRES_PORT=5432
POSTGRES_USER=postgresql
POSTGRES_PASSWORD=postgresql123456
POSTGRES_DB=compliance_db
update
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# ===== 嵌入模型配置 =====
Fix SSE route dependency and align architecture docs
2026-05-18 16:32:42 +08:00
EMBEDDING_MODEL=text-embedding-v3
feat: Migrate document parsing to Aliyun and update embedding configurations - Updated LocalDocumentParser to include raw_layouts and artifact_prefix from settings. - Added new documents with failure reasons and metadata to documents.json for better error tracking. - Created a new documentation file detailing the Aliyun ingest implementation process. - Updated RFC to reflect changes in the parsing backend and embedding dimensions. - Modified tests to accommodate the new embedding dimension of 1024 and updated parser and chunk builder assertions. - Verified migration configurations to ensure correct settings for embedding model and backend.
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EMBEDDING_DIM=1024
Fix SSE route dependency and align architecture docs
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EMBEDDING_API_KEY=sk-fVr9KmDZNC4pGDBQj0EUWz9bDmFzNxjYC9EzZpe2bVDsxtz8
EMBEDDING_BASE_URL=http://6.86.80.4:30080/v1
EMBEDDING_TIMEOUT_SECONDS=120
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# ===== 文档处理配置 =====
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CHUNK_SIZE=512
CHUNK_OVERLAP=50
MAX_FILE_SIZE_MB=100
fix 文档管理模块 & 法规对话模块
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PARSER_BACKEND=aliyun
CHUNK_BACKEND=aliyun
# 文档元数据存储后端：json（默认）或 postgres
DOCUMENT_REPOSITORY_BACKEND=json
1. Add 登陆功能 2. 调整字体大小 3. 新增部分功能
2026-06-05 18:00:31 +08:00
# Set to true only when a Celery worker is actually running (./dev.sh start worker).
# Default false: processing runs in FastAPI's threadpool — no external worker needed.
USE_CELERY_WORKER=false
first commit
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fix somethings
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# ===== 法规感知爬取配置 =====
PERCEPTION_CRAWL_TIMEOUT_SECONDS=120
PERCEPTION_MAX_EVENTS_PER_SOURCE=100
PERCEPTION_DIFF_SIMILARITY_THRESHOLD=0.85
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# ===== API配置 =====
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API_HOST=0.0.0.0
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API_PORT=8000
# ===== LLM配置 =====
# LLM提供商选择: qwen / deepseek / qwen_vl
LLM_PROVIDER=deepseek
LLM_MODEL=deepseek-v4-flash
LLM_MAX_TOKENS=4096
LLM_TEMPERATURE=0.7
# ===== Qwen API配置（阿里云DashScope）=====
# 获取API Key: https://dashscope.console.aliyun.com/
QWEN_API_KEY=sk-fVr9KmDZNC4pGDBQj0EUWz9bDmFzNxjYC9EzZpe2bVDsxtz8
QWEN_BASE_URL=http://6.86.80.4:30080/v1
feat: Migrate document parsing to Aliyun and update embedding configurations - Updated LocalDocumentParser to include raw_layouts and artifact_prefix from settings. - Added new documents with failure reasons and metadata to documents.json for better error tracking. - Created a new documentation file detailing the Aliyun ingest implementation process. - Updated RFC to reflect changes in the parsing backend and embedding dimensions. - Modified tests to accommodate the new embedding dimension of 1024 and updated parser and chunk builder assertions. - Verified migration configurations to ensure correct settings for embedding model and backend.
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QWEN_MODEL=qwen3.6-plus
update
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QWEN_VL_MODEL=qwen3-vl-plus
# ===== DeepSeek API配置 =====
# 获取API Key: https://platform.deepseek.com/
DEEPSEEK_API_KEY=sk-fVr9KmDZNC4pGDBQj0EUWz9bDmFzNxjYC9EzZpe2bVDsxtz8
DEEPSEEK_BASE_URL=http://6.86.80.4:30080/v1
DEEPSEEK_MODEL=deepseek-v4-flash
# ===== RAG配置 =====
RAG_TOP_K=10
RAG_MAX_CONTEXT_TOKENS=4000
RAG_SUMMARY_MAX_TOKENS=1024
RAG_SKILLS_MAX_TOKENS=2048
feat: Migrate document parsing to Aliyun and update embedding configurations - Updated LocalDocumentParser to include raw_layouts and artifact_prefix from settings. - Added new documents with failure reasons and metadata to documents.json for better error tracking. - Created a new documentation file detailing the Aliyun ingest implementation process. - Updated RFC to reflect changes in the parsing backend and embedding dimensions. - Modified tests to accommodate the new embedding dimension of 1024 and updated parser and chunk builder assertions. - Verified migration configurations to ensure correct settings for embedding model and backend.
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# ===== 阿里云文档解析 =====
ALIBABA_ACCESS_KEY_ID=LTAI5t9ZjvwSU9bKuMyiExrE
ALIBABA_ACCESS_KEY_SECRET=hNvY6XocmEO6inYlrmiBwBcx5OfidL
ALIBABA_ENDPOINT=docmind-api.cn-hangzhou.aliyuncs.com
ALIYUN_PARSE_POLL_INTERVAL_SECONDS=5
ALIYUN_PARSE_TIMEOUT_SECONDS=900
ALIYUN_PARSE_LAYOUT_STEP_SIZE=50
ALIYUN_LLM_ENHANCEMENT=true
ALIYUN_ENHANCEMENT_MODE=VLM
DOCUMENT_PARSE_ARTIFACT_PREFIX=artifacts
PARSER_FAILURE_MODE=fail
1. Add 登陆功能 2. 调整字体大小 3. 新增部分功能
2026-06-05 18:00:31 +08:00
# ===== Reranker 配置 =====
RERANKER_ENABLED=true
RERANKER_BASE_URL=http://6.86.80.4:30080/v1
RERANKER_MODEL=BAAI/bge-reranker-v2-m3
RERANKER_API_KEY=
RERANKER_TOP_K=5
# ===== 会话持久化 =====
SESSION_BACKEND=redis
# ===== 认证配置 =====
# 生产环境请修改为强随机密钥: python -c "import secrets; print(secrets.token_hex(32))"
AUTH_SECRET_KEY=ai-compliance-hub-jwt-secret-2026-tsystems
AUTH_ALGORITHM=HS256
AUTH_TOKEN_EXPIRE_MINUTES=480
AUTH_ENABLED=true
# ===== CORS =====
CORS_ALLOW_ORIGINS=http://localhost:5173
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