136 lines
8.4 KiB
Python
136 lines
8.4 KiB
Python
"""Configure backend settings for the backend application."""
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from pathlib import Path
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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from functools import lru_cache
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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ROOT_DIR = Path(__file__).resolve().parents[3]
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ROOT_ENV_FILES = (
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ROOT_DIR / ".env",
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ROOT_DIR / ".env.development",
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)
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class Settings(BaseSettings):
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"""Define configuration for settings."""
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model_config = SettingsConfigDict(
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env_file=tuple(str(env_file) for env_file in ROOT_ENV_FILES),
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env_file_encoding="utf-8",
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extra="ignore",
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)
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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app_name: str = Field(default="AI Regulations Demo", description="Application name")
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app_version: str = Field(default="0.1.0", description="应用版本")
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debug: bool = Field(default=False, description="调试模式")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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milvus_host: str = Field(default="6.86.80.8", description="Milvus服务地址")
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milvus_port: int = Field(default=19530, description="Milvus服务端口")
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milvus_collection: str = Field(default="regulations_dense_1024_v1", description="法规向量集合名称")
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milvus_db_name: str = Field(default="default", description="Milvus数据库名称")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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embedding_model: str = Field(default="text-embedding-v3", description="嵌入模型名称")
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embedding_dim: int = Field(default=1024, description="嵌入向量维度")
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embedding_api_key: str = Field(default="", description="Embedding API密钥")
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embedding_base_url: str = Field(default="http://6.86.80.4:30080/v1", description="Embedding API地址")
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embedding_timeout_seconds: int = Field(default=120, description="Embedding API超时时间(秒)")
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alibaba_access_key_id: str = Field(default="", description="阿里云文档解析 Access Key ID")
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alibaba_access_key_secret: str = Field(default="", description="阿里云文档解析 Access Key Secret")
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alibaba_endpoint: str = Field(default="docmind-api.cn-hangzhou.aliyuncs.com", description="阿里云文档解析 endpoint")
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aliyun_parse_poll_interval_seconds: int = Field(default=5, description="阿里云文档解析轮询间隔(秒)")
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aliyun_parse_timeout_seconds: int = Field(default=900, description="阿里云文档解析超时时间(秒)")
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aliyun_parse_layout_step_size: int = Field(default=50, description="阿里云文档解析分页步长")
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aliyun_llm_enhancement: bool = Field(default=True, description="是否启用阿里云解析增强")
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aliyun_enhancement_mode: str = Field(default="VLM", description="阿里云解析增强模式")
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document_parse_artifact_prefix: str = Field(default="artifacts", description="解析产物对象前缀")
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parser_failure_mode: str = Field(default="fail", description="解析失败策略")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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minio_endpoint: str = Field(default="6.86.80.8:9000", description="MinIO服务地址")
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minio_access_key: str = Field(default="minioadmin", description="MinIO访问密钥")
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minio_secret_key: str = Field(default="minioadmin123", description="MinIO秘密密钥")
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minio_bucket: str = Field(default="upload-files", description="文档存储桶名称")
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minio_secure: bool = Field(default=False, description="是否使用HTTPS")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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redis_host: str = Field(default="6.86.80.8", description="Redis服务地址")
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redis_port: int = Field(default=6379, description="Redis服务端口")
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redis_password: str = Field(default="", description="Redis密码")
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redis_db: int = Field(default=0, description="Redis数据库编号")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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postgres_host: str = Field(default="6.86.80.8", description="PostgreSQL服务地址")
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postgres_port: int = Field(default=5432, description="PostgreSQL服务端口")
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postgres_user: str = Field(default="compliance", description="PostgreSQL用户名")
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postgres_password: str = Field(default="compliance123", description="PostgreSQL密码")
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postgres_db: str = Field(default="compliance_db", description="PostgreSQL数据库名称")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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chunk_size: int = Field(default=512, description="分块大小（字符数）")
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chunk_overlap: int = Field(default=50, description="分块重叠大小")
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max_file_size_mb: int = Field(default=100, description="最大文件大小(MB)")
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document_metadata_path: str = Field(default="backend/data/documents.json", description="文档元数据存储路径")
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document_processing_metadata_path: str = Field(default="backend/data/document_processing.json", description="文档处理历史存储路径")
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parser_backend: str = Field(default="aliyun", description="解析后端(local/aliyun)")
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chunk_backend: str = Field(default="aliyun", description="分块后端(local/aliyun)")
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document_repository_backend: str = Field(default="json", description="文档元数据存储后端 (json/postgres)")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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api_host: str = Field(default="0.0.0.0", description="API服务地址")
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api_port: int = Field(default=8000, description="API服务端口")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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llm_provider: str = Field(default="deepseek", description="LLM提供商 (deepseek/qwen/qwen_vl)")
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llm_model: str = Field(default="deepseek-v4-flash", description="LLM模型名称")
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llm_max_tokens: int = Field(default=4096, description="LLM最大输出token数")
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llm_temperature: float = Field(default=0.7, description="LLM温度参数")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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deepseek_api_key: str = Field(default="", description="DeepSeek API密钥")
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deepseek_base_url: str = Field(default="http://6.86.80.4:30080/v1", description="DeepSeek API地址")
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deepseek_model: str = Field(default="deepseek-v4-flash", description="DeepSeek模型")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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qwen_api_key: str = Field(default="", description="Qwen API密钥")
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qwen_base_url: str = Field(default="http://6.86.80.4:30080/v1", description="Qwen API地址")
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qwen_model: str = Field(default="qwen3.5-flash", description="Qwen文本模型")
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qwen_vl_model: str = Field(default="qwen3-vl-plus", description="Qwen视觉模型")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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rag_top_k: int = Field(default=5, description="检索召回数量")
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rag_retrieval_top_k: int = Field(default=20, description="精排前召回候选数量（reranker 启用时生效）")
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rag_max_context_tokens: int = Field(default=2000, description="RAG最大上下文token数")
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rag_summary_max_tokens: int = Field(default=10240, description="文档摘要最大token数")
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reranker_enabled: bool = Field(default=False, description="是否启用 Cross-Encoder 精排")
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reranker_base_url: str = Field(default="", description="Reranker API 地址")
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reranker_model: str = Field(default="BAAI/bge-reranker-v2-m3", description="Reranker 模型名称")
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reranker_api_key: str = Field(default="", description="Reranker API 密钥")
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reranker_top_k: int = Field(default=5, description="精排后保留的最终结果数量")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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milvus_index_type: str = Field(default="IVF_FLAT", description="Milvus索引类型")
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milvus_nlist: int = Field(default=128, description="Milvus nlist参数")
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milvus_nprobe: int = Field(default=16, description="Milvus nprobe参数")
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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session_max_sessions: int = Field(default=100, description="最大会话数量")
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session_timeout_minutes: int = Field(default=30, description="会话超时时间(分钟)")
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@lru_cache
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def get_settings() -> Settings:
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"""Return settings."""
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return Settings()
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# Keep configuration setup explicit so runtime behavior is easy to reason about.
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settings = get_settings()
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