knowledge_search/api/config.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
API服务配置管理
"""

import os
from typing import Optional


class APIConfig:
    """API服务配置"""
    
    # API服务配置
    API_HOST: str = os.getenv("API_HOST", "0.0.0.0")
    API_PORT: int = int(os.getenv("API_PORT", "8001"))
    
    # Pipeline配置
    OPENROUTER_API_KEY: Optional[str] = os.getenv("OPENROUTER_API_KEY")
    OUTPUT_DIR: str = os.getenv("OUTPUT_DIR", "output_v2")
    
    # 搜索配置
    SEARCH_MAX_WORKERS: int = int(os.getenv("SEARCH_MAX_WORKERS", "3"))
    MAX_TOTAL_SEARCHES: Optional[int] = None
    MAX_SEARCHES_PER_FEATURE: Optional[int] = None
    MAX_SEARCHES_PER_BASE_WORD: Optional[int] = None
    
    # 评估配置
    EVALUATION_MAX_WORKERS: int = int(os.getenv("EVALUATION_MAX_WORKERS", "10"))
    EVALUATION_MAX_NOTES_PER_QUERY: int = int(os.getenv("EVALUATION_MAX_NOTES_PER_QUERY", "20"))
    
    # 深度解构配置
    DEEP_ANALYSIS_API_URL: str = os.getenv(
        "DEEP_ANALYSIS_API_URL",
        "http://192.168.245.150:7000/what/analysis/single"
    )
    DEEP_ANALYSIS_MAX_WORKERS: int = int(os.getenv("DEEP_ANALYSIS_MAX_WORKERS", "5"))
    DEEP_ANALYSIS_MIN_SCORE: float = float(os.getenv("DEEP_ANALYSIS_MIN_SCORE", "0.8"))
    
    # 相似度分析配置
    SIMILARITY_WEIGHT_EMBEDDING: float = float(os.getenv("SIMILARITY_WEIGHT_EMBEDDING", "0.5"))
    SIMILARITY_WEIGHT_SEMANTIC: float = float(os.getenv("SIMILARITY_WEIGHT_SEMANTIC", "0.5"))
    SIMILARITY_MAX_WORKERS: int = int(os.getenv("SIMILARITY_MAX_WORKERS", "5"))
    SIMILARITY_MIN_SIMILARITY: float = float(os.getenv("SIMILARITY_MIN_SIMILARITY", "0.0"))
    
    # LLM配置
    LLM_MODEL: str = os.getenv("LLM_MODEL", "google/gemini-2.5-flash")
    LLM_MAX_RETRIES: int = int(os.getenv("LLM_MAX_RETRIES", "3"))
    LLM_RETRY_DELAY: int = int(os.getenv("LLM_RETRY_DELAY", "5"))
    
    # Query生成配置
    MAX_CANDIDATES: int = int(os.getenv("MAX_CANDIDATES", "20"))
    MAX_COMBO_LENGTH: int = int(os.getenv("MAX_COMBO_LENGTH", "3"))
    QUERY_GENERATION_MAX_WORKERS: int = int(os.getenv("QUERY_GENERATION_MAX_WORKERS", "8"))