Completely refactor the LLM integration method to easily replace the LLM used by each module and optimize the retransmission mechanism.
This commit is contained in:
666ghj
+161
-171
@@ -1,6 +1,6 @@
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"""
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配置管理模块
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处理环境变量和配置参数
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Configuration management module for the Insight Engine.
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Handles environment variables and config file parameters.
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"""
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import os
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@@ -8,226 +8,216 @@ from dataclasses import dataclass
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from typing import Optional
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def _get_value(source, key: str, default=None):
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"""
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Helper to fetch a configuration value with environment fallback.
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"""
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value = None
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if isinstance(source, dict):
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value = source.get(key)
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else:
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value = getattr(source, key, None)
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if value is None:
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value = os.getenv(key, default)
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return value if value not in ("", None) else default
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@dataclass
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class Config:
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"""配置类"""
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# API密钥
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deepseek_api_key: Optional[str] = None
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openai_api_key: Optional[str] = None
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kimi_api_key: Optional[str] = None
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deepseek_base_url: str = "https://api.deepseek.com"
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openai_base_url: Optional[str] = None
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kimi_base_url: str = "https://api.moonshot.cn/v1"
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# 数据库配置
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"""Insight Engine configuration."""
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# LLM configuration
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llm_api_key: Optional[str] = None
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llm_base_url: Optional[str] = None
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llm_model_name: Optional[str] = None
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llm_provider: Optional[str] = None # kept for backward compatibility
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# Database configuration
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db_host: Optional[str] = None
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db_user: Optional[str] = None
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db_password: Optional[str] = None
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db_name: Optional[str] = None
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db_port: int = 3306
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db_charset: str = "utf8mb4"
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# 模型配置
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default_llm_provider: str = "deepseek" # deepseek、openai 或 kimi
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deepseek_model: str = "deepseek-chat"
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openai_model: str = "gpt-4o-mini"
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kimi_model: str = "kimi-k2-0711-preview"
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# 搜索配置
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# Model behaviour configuration
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max_reflections: int = 3
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max_paragraphs: int = 6
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search_timeout: int = 240
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max_content_length: int = 500000 # 提高5倍以充分利用Kimi的长文本能力
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# 数据库查询限制
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max_content_length: int = 500000
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# Search result limits
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default_search_hot_content_limit: int = 100
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default_search_topic_globally_limit_per_table: int = 50
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default_search_topic_by_date_limit_per_table: int = 100
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default_get_comments_for_topic_limit: int = 500
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default_search_topic_on_platform_limit: int = 200
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# Agent配置
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max_reflections: int = 3
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max_paragraphs: int = 6
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# 结果处理限制
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max_search_results_for_llm: int = 0 # 0表示不限制，传递所有搜索结果给LLM
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max_high_confidence_sentiment_results: int = 0 # 0表示不限制，返回所有高置信度情感分析结果
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# 输出配置
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max_search_results_for_llm: int = 0
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max_high_confidence_sentiment_results: int = 0
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# Output configuration
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output_dir: str = "reports"
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save_intermediate_states: bool = True
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def __post_init__(self):
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if not self.llm_provider and self.llm_model_name:
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# Provider is no longer used, but keep the attribute for compatibility.
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self.llm_provider = self.llm_model_name
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def validate(self) -> bool:
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"""验证配置"""
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# 检查必需的API密钥
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if self.default_llm_provider == "deepseek" and not self.deepseek_api_key:
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print("错误: DeepSeek API Key未设置")
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"""Validate configuration."""
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if not self.llm_api_key:
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print("错误: Insight Engine LLM API Key 未设置 (INSIGHT_ENGINE_API_KEY)。")
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return False
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if self.default_llm_provider == "openai" and not self.openai_api_key:
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print("错误: OpenAI API Key未设置")
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if not self.llm_model_name:
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print("错误: Insight Engine 模型名称未设置 (INSIGHT_ENGINE_MODEL_NAME)。")
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return False
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if not all([self.db_host, self.db_user, self.db_password, self.db_name]):
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print("错误: 数据库连接信息不完整")
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print("错误: 数据库连接信息不完整，请检查 config.py 中的 DB_* 配置。")
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return False
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return True
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@classmethod
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def from_file(cls, config_file: str) -> "Config":
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"""从配置文件创建配置"""
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if config_file.endswith('.py'):
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# Python配置文件
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"""Create configuration from file."""
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if config_file.endswith(".py"):
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import importlib.util
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# 动态导入配置文件
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spec = importlib.util.spec_from_file_location("config", config_file)
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config_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(config_module)
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return cls(
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deepseek_api_key=getattr(config_module, "DEEPSEEK_API_KEY", None),
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openai_api_key=getattr(config_module, "OPENAI_API_KEY", None),
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kimi_api_key=getattr(config_module, "KIMI_API_KEY", None),
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deepseek_base_url=getattr(config_module, "DEEPSEEK_BASE_URL", "https://api.deepseek.com"),
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openai_base_url=getattr(config_module, "OPENAI_BASE_URL", None),
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kimi_base_url=getattr(config_module, "KIMI_BASE_URL", "https://api.moonshot.cn/v1"),
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db_host=getattr(config_module, "DB_HOST", None),
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db_user=getattr(config_module, "DB_USER", None),
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db_password=getattr(config_module, "DB_PASSWORD", None),
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db_name=getattr(config_module, "DB_NAME", None),
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db_port=getattr(config_module, "DB_PORT", 3306),
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db_charset=getattr(config_module, "DB_CHARSET", "utf8mb4"),
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default_llm_provider=getattr(config_module, "DEFAULT_LLM_PROVIDER", "deepseek"),
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deepseek_model=getattr(config_module, "DEEPSEEK_MODEL", "deepseek-chat"),
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openai_model=getattr(config_module, "OPENAI_MODEL", "gpt-4o-mini"),
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search_timeout=getattr(config_module, "SEARCH_TIMEOUT", 240),
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max_content_length=getattr(config_module, "SEARCH_CONTENT_MAX_LENGTH", 200000),
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default_search_hot_content_limit=getattr(config_module, "DEFAULT_SEARCH_HOT_CONTENT_LIMIT", 100),
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default_search_topic_globally_limit_per_table=getattr(config_module, "DEFAULT_SEARCH_TOPIC_GLOBALLY_LIMIT_PER_TABLE", 50),
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default_search_topic_by_date_limit_per_table=getattr(config_module, "DEFAULT_SEARCH_TOPIC_BY_DATE_LIMIT_PER_TABLE", 100),
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default_get_comments_for_topic_limit=getattr(config_module, "DEFAULT_GET_COMMENTS_FOR_TOPIC_LIMIT", 500),
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default_search_topic_on_platform_limit=getattr(config_module, "DEFAULT_SEARCH_TOPIC_ON_PLATFORM_LIMIT", 200),
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max_reflections=getattr(config_module, "MAX_REFLECTIONS", 2),
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max_paragraphs=getattr(config_module, "MAX_PARAGRAPHS", 5),
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max_search_results_for_llm=getattr(config_module, "MAX_SEARCH_RESULTS_FOR_LLM", 0),
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max_high_confidence_sentiment_results=getattr(config_module, "MAX_HIGH_CONFIDENCE_SENTIMENT_RESULTS", 0),
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output_dir=getattr(config_module, "OUTPUT_DIR", "reports"),
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save_intermediate_states=getattr(config_module, "SAVE_INTERMEDIATE_STATES", True)
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)
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else:
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# .env格式配置文件
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config_dict = {}
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if os.path.exists(config_file):
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with open(config_file, 'r', encoding='utf-8') as f:
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for line in f:
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line = line.strip()
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if line and not line.startswith('#') and '=' in line:
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key, value = line.split('=', 1)
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config_dict[key.strip()] = value.strip()
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return cls(
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deepseek_api_key=config_dict.get("DEEPSEEK_API_KEY"),
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openai_api_key=config_dict.get("OPENAI_API_KEY"),
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kimi_api_key=config_dict.get("KIMI_API_KEY"),
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deepseek_base_url=config_dict.get("DEEPSEEK_BASE_URL", "https://api.deepseek.com"),
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openai_base_url=config_dict.get("OPENAI_BASE_URL"),
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kimi_base_url=config_dict.get("KIMI_BASE_URL", "https://api.moonshot.cn/v1"),
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db_host=config_dict.get("DB_HOST"),
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db_user=config_dict.get("DB_USER"),
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db_password=config_dict.get("DB_PASSWORD"),
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db_name=config_dict.get("DB_NAME"),
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db_port=int(config_dict.get("DB_PORT", "3306")),
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db_charset=config_dict.get("DB_CHARSET", "utf8mb4"),
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default_llm_provider=config_dict.get("DEFAULT_LLM_PROVIDER", "deepseek"),
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deepseek_model=config_dict.get("DEEPSEEK_MODEL", "deepseek-chat"),
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openai_model=config_dict.get("OPENAI_MODEL", "gpt-4o-mini"),
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kimi_model=config_dict.get("KIMI_MODEL", "kimi-k2-0711-preview"),
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search_timeout=int(config_dict.get("SEARCH_TIMEOUT", "240")),
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max_content_length=int(config_dict.get("SEARCH_CONTENT_MAX_LENGTH", "500000")),
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default_search_hot_content_limit=int(config_dict.get("DEFAULT_SEARCH_HOT_CONTENT_LIMIT", "100")),
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default_search_topic_globally_limit_per_table=int(config_dict.get("DEFAULT_SEARCH_TOPIC_GLOBALLY_LIMIT_PER_TABLE", "50")),
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default_search_topic_by_date_limit_per_table=int(config_dict.get("DEFAULT_SEARCH_TOPIC_BY_DATE_LIMIT_PER_TABLE", "100")),
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default_get_comments_for_topic_limit=int(config_dict.get("DEFAULT_GET_COMMENTS_FOR_TOPIC_LIMIT", "500")),
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default_search_topic_on_platform_limit=int(config_dict.get("DEFAULT_SEARCH_TOPIC_ON_PLATFORM_LIMIT", "200")),
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max_reflections=int(config_dict.get("MAX_REFLECTIONS", "2")),
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max_paragraphs=int(config_dict.get("MAX_PARAGRAPHS", "5")),
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max_search_results_for_llm=int(config_dict.get("MAX_SEARCH_RESULTS_FOR_LLM", "0")),
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max_high_confidence_sentiment_results=int(config_dict.get("MAX_HIGH_CONFIDENCE_SENTIMENT_RESULTS", "0")),
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output_dir=config_dict.get("OUTPUT_DIR", "reports"),
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save_intermediate_states=config_dict.get("SAVE_INTERMEDIATE_STATES", "true").lower() == "true"
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llm_api_key=_get_value(config_module, "INSIGHT_ENGINE_API_KEY"),
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llm_base_url=_get_value(config_module, "INSIGHT_ENGINE_BASE_URL"),
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llm_model_name=_get_value(config_module, "INSIGHT_ENGINE_MODEL_NAME"),
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db_host=_get_value(config_module, "DB_HOST"),
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db_user=_get_value(config_module, "DB_USER"),
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db_password=_get_value(config_module, "DB_PASSWORD"),
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db_name=_get_value(config_module, "DB_NAME"),
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db_port=int(_get_value(config_module, "DB_PORT", 3306)),
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db_charset=_get_value(config_module, "DB_CHARSET", "utf8mb4"),
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max_reflections=int(_get_value(config_module, "MAX_REFLECTIONS", 3)),
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max_paragraphs=int(_get_value(config_module, "MAX_PARAGRAPHS", 6)),
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search_timeout=int(_get_value(config_module, "SEARCH_TIMEOUT", 240)),
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max_content_length=int(_get_value(config_module, "SEARCH_CONTENT_MAX_LENGTH", 500000)),
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default_search_hot_content_limit=int(
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_get_value(config_module, "DEFAULT_SEARCH_HOT_CONTENT_LIMIT", 100)
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),
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default_search_topic_globally_limit_per_table=int(
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_get_value(config_module, "DEFAULT_SEARCH_TOPIC_GLOBALLY_LIMIT_PER_TABLE", 50)
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),
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default_search_topic_by_date_limit_per_table=int(
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_get_value(config_module, "DEFAULT_SEARCH_TOPIC_BY_DATE_LIMIT_PER_TABLE", 100)
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),
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default_get_comments_for_topic_limit=int(
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_get_value(config_module, "DEFAULT_GET_COMMENTS_FOR_TOPIC_LIMIT", 500)
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),
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default_search_topic_on_platform_limit=int(
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_get_value(config_module, "DEFAULT_SEARCH_TOPIC_ON_PLATFORM_LIMIT", 200)
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),
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max_search_results_for_llm=int(_get_value(config_module, "MAX_SEARCH_RESULTS_FOR_LLM", 0)),
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max_high_confidence_sentiment_results=int(
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_get_value(config_module, "MAX_HIGH_CONFIDENCE_SENTIMENT_RESULTS", 0)
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),
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output_dir=_get_value(config_module, "OUTPUT_DIR", "reports"),
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save_intermediate_states=str(
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_get_value(config_module, "SAVE_INTERMEDIATE_STATES", "true")
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).lower()
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in ("true", "1", "yes"),
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)
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# .env style configuration
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config_dict = {}
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if os.path.exists(config_file):
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with open(config_file, "r", encoding="utf-8") as f:
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for line in f:
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line = line.strip()
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if line and not line.startswith("#") and "=" in line:
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key, value = line.split("=", 1)
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config_dict[key.strip()] = value.strip()
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return cls(
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llm_api_key=_get_value(config_dict, "INSIGHT_ENGINE_API_KEY"),
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llm_base_url=_get_value(config_dict, "INSIGHT_ENGINE_BASE_URL"),
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llm_model_name=_get_value(config_dict, "INSIGHT_ENGINE_MODEL_NAME"),
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db_host=_get_value(config_dict, "DB_HOST"),
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db_user=_get_value(config_dict, "DB_USER"),
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db_password=_get_value(config_dict, "DB_PASSWORD"),
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db_name=_get_value(config_dict, "DB_NAME"),
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db_port=int(_get_value(config_dict, "DB_PORT", 3306)),
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db_charset=_get_value(config_dict, "DB_CHARSET", "utf8mb4"),
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max_reflections=int(_get_value(config_dict, "MAX_REFLECTIONS", 3)),
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max_paragraphs=int(_get_value(config_dict, "MAX_PARAGRAPHS", 6)),
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search_timeout=int(_get_value(config_dict, "SEARCH_TIMEOUT", 240)),
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max_content_length=int(_get_value(config_dict, "SEARCH_CONTENT_MAX_LENGTH", 500000)),
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default_search_hot_content_limit=int(
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_get_value(config_dict, "DEFAULT_SEARCH_HOT_CONTENT_LIMIT", 100)
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),
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default_search_topic_globally_limit_per_table=int(
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_get_value(config_dict, "DEFAULT_SEARCH_TOPIC_GLOBALLY_LIMIT_PER_TABLE", 50)
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),
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default_search_topic_by_date_limit_per_table=int(
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_get_value(config_dict, "DEFAULT_SEARCH_TOPIC_BY_DATE_LIMIT_PER_TABLE", 100)
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),
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default_get_comments_for_topic_limit=int(
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_get_value(config_dict, "DEFAULT_GET_COMMENTS_FOR_TOPIC_LIMIT", 500)
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),
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default_search_topic_on_platform_limit=int(
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_get_value(config_dict, "DEFAULT_SEARCH_TOPIC_ON_PLATFORM_LIMIT", 200)
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),
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max_search_results_for_llm=int(_get_value(config_dict, "MAX_SEARCH_RESULTS_FOR_LLM", 0)),
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max_high_confidence_sentiment_results=int(
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_get_value(config_dict, "MAX_HIGH_CONFIDENCE_SENTIMENT_RESULTS", 0)
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),
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output_dir=_get_value(config_dict, "OUTPUT_DIR", "reports"),
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save_intermediate_states=str(
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_get_value(config_dict, "SAVE_INTERMEDIATE_STATES", "true")
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).lower()
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in ("true", "1", "yes"),
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)
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def load_config(config_file: Optional[str] = None) -> Config:
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"""
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加载配置
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Args:
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config_file: 配置文件路径，如果不指定则使用默认路径
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Returns:
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配置对象
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Load configuration.
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"""
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# 确定配置文件路径
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if config_file:
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if not os.path.exists(config_file):
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raise FileNotFoundError(f"配置文件不存在: {config_file}")
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file_to_load = config_file
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else:
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# 尝试加载常见的配置文件
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for config_path in ["config.py", "config.env", ".env"]:
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if os.path.exists(config_path):
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file_to_load = config_path
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print(f"已找到配置文件: {config_path}")
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for candidate in ("config.py", "config.env", ".env"):
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if os.path.exists(candidate):
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file_to_load = candidate
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print(f"已找到配置文件: {candidate}")
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break
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else:
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raise FileNotFoundError("未找到配置文件，请创建 config.py 文件")
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# 创建配置对象
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raise FileNotFoundError("未找到配置文件，请创建 config.py。")
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config = Config.from_file(file_to_load)
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# 验证配置
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if not config.validate():
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raise ValueError("配置验证失败，请检查配置文件中的API密钥")
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raise ValueError("配置校验失败，请检查 config.py 中的相关配置。")
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return config
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def print_config(config: Config):
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"""打印配置信息（隐藏敏感信息）"""
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print("\n=== 当前配置 ===")
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print(f"LLM提供商: {config.default_llm_provider}")
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print(f"DeepSeek模型: {config.deepseek_model}")
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print(f"OpenAI模型: {config.openai_model}")
|
||||
|
||||
print(f"搜索超时: {config.search_timeout}秒")
|
||||
print(f"最大内容长度: {config.max_content_length}")
|
||||
"""Print configuration (sensitive values masked)."""
|
||||
print("\n=== Insight Engine 配置 ===")
|
||||
print(f"LLM 模型: {config.llm_model_name}")
|
||||
print(f"LLM Base URL: {config.llm_base_url or '(默认)'}")
|
||||
print(f"搜索超时: {config.search_timeout} 秒")
|
||||
print(f"最长内容长度: {config.max_content_length}")
|
||||
print(f"最大反思次数: {config.max_reflections}")
|
||||
print(f"最大段落数: {config.max_paragraphs}")
|
||||
print(f"输出目录: {config.output_dir}")
|
||||
print(f"保存中间状态: {config.save_intermediate_states}")
|
||||
|
||||
# 显示API密钥和数据库状态（不显示实际密钥）
|
||||
print(f"DeepSeek API Key: {'已设置' if config.deepseek_api_key else '未设置'}")
|
||||
print(f"OpenAI API Key: {'已设置' if config.openai_api_key else '未设置'}")
|
||||
print(f"LLM API Key: {'已配置' if config.llm_api_key else '未配置'}")
|
||||
print(f"数据库连接: {'已配置' if all([config.db_host, config.db_user, config.db_password, config.db_name]) else '未配置'}")
|
||||
print(f"数据库主机: {config.db_host}")
|
||||
print(f"数据库端口: {config.db_port}")
|
||||
print(f"数据库名称: {config.db_name}")
|
||||
print("==================\n")
|
||||
print("========================\n")
|
||||
|
||||
Reference in New Issue
Block a user