84 lines
2.6 KiB
Python
84 lines
2.6 KiB
Python
import logging
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import asyncio
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logging.basicConfig(
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level=logging.DEBUG, # 生产环境可改为 INFO 或 WARNING
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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handlers=[
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logging.FileHandler("BoweiAgent.log", encoding="utf-8"),
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logging.StreamHandler()
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],
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)
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logger = logging.getLogger("BoweiAgent")
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import logging
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# 获取logger并设置级别
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httpx_logger = logging.getLogger("httpx")
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httpx_logger.setLevel(logging.WARNING) # 设置httpcore及其子模块的级别
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# 可选：禁用传播（防止被根logger处理）
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httpx_logger.propagate = False
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# 获取logger并设置级别
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openai_logger = logging.getLogger("openai")
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openai_logger.setLevel(logging.WARNING) # 设置httpcore及其子模块的级别
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# 可选：禁用传播（防止被根logger处理）
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openai_logger.propagate = False
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# 获取logger并设置级别
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neo4j_logger = logging.getLogger("neo4j")
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neo4j_logger.setLevel(logging.WARNING) # 设置httpcore及其子模块的级别
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# 可选：禁用传播（防止被根logger处理）
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neo4j_logger.propagate = False
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# 获取logger并设置级别
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httpcore_logger = logging.getLogger("httpcore")
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httpcore_logger.setLevel(logging.WARNING) # 设置httpcore及其子模块的级别
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# 可选：禁用传播（防止被根logger处理）
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httpcore_logger.propagate = False
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from src.config import Config
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from src.document_loader import load_file
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from src.llm_client import LLMClient
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from src.prompt_manager import PromptManager
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from src.code_executor import CodeExecutor
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from src.dialog_manager import DialogManager
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from src.neo4j_raw_retriever import Neo4jRawRetriever
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from src.embedding_client import EmbeddingClient
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def main():
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config = Config()
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business_structure = load_file(config.business_object_structure_path)
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bowei_api_docs = load_file(config.bowei_api_docs_path)
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llm_client = LLMClient(config.openai)
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prompt_manager = PromptManager()
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code_executor = CodeExecutor(prompt_manager.prompts, llm_client)
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neo4j_conf = config.neo4j_conf
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embedding_conf = config.embedding
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embedding_client = EmbeddingClient(embedding_conf)
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knowledge_retriever = Neo4jRawRetriever(neo4j_conf)
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dialog_manager = DialogManager(
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llm_client,
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business_structure,
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bowei_api_docs,
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code_executor,
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knowledge_retriever,
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prompt_manager,
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)
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pre_input_question = "查找名称中包含“工程”的项目划分项，并返回其人工费乘以1000的值。"
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asyncio.run(dialog_manager.run_async(pre_input=pre_input_question))
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if __name__ == "__main__":
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main() |