更新最新代码

This commit is contained in:
2025-07-04 13:52:08 +08:00
parent af64d962eb
commit be98bb1495
52 changed files with 139981 additions and 5788 deletions
+42 -22
View File
@@ -2,9 +2,25 @@ import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import logging
def setup_logger(logger_name):
"""
设置指定名称的logger,将其级别设置为WARNING并禁用传播
:param logger_name: logger的名称
"""
logger = logging.getLogger(logger_name)
logger.setLevel(logging.WARNING) # 设置httpcore及其子模块的级别
logger.propagate = False # 可选:禁用传播(防止被根logger处理)
return logger
logger_names = ["httpx", "openai", "langsmith.client", "neo4j", "urllib3", "httpcore"]
for name in logger_names:
setup_logger(name)
import json
from src.dialog_manager import DialogManager
from src.llm_client import LLMClient
from src.multi_llm_client import MultiAPIKeyChatOpenAI
from src.code_executor import CodeExecutor
from src.neo4j_raw_retriever import Neo4jRawRetriever
from src.prompt_manager import PromptManager
@@ -13,18 +29,25 @@ from src.config import Config
from src.document_loader import load_file
from src.embedding_client import EmbeddingClient
from project import ProjectBuilder, ProjectToolkit
from project_implementation import ProjectToolkitNeo4j
from src.project import ProjectBuilder, ProjectToolkit
from src.project_implementation import ProjectToolkitNeo4j
success_count = 0
fail_count = 0
questions = []
error_list = []
def main():
global fail_count, success_count, questions, error_list
config = Config()
business_structure = load_file(config.business_object_structure_path)
bowei_api_docs = load_file(config.bowei_api_docs_path)
llm_client = LLMClient(config.openai)
llm_client = MultiAPIKeyChatOpenAI(config.openai)
llm_client_coder = LLMClient(config.openai_coder)
llm_client_coder = MultiAPIKeyChatOpenAI(config.openai_coder)
prompt_manager = PromptManager()
@@ -38,7 +61,7 @@ def main():
ProjectBuilder.register(ProjectToolkitNeo4j, knowledge_retriever.driver)
code_executor = CodeExecutor(prompt_manager.prompts, llm_client_coder)
code_executor = CodeExecutor(prompt_manager.prompts, llm_client_coder, config.max_retries)
dialog_manager = DialogManager(
llm_client,
@@ -55,37 +78,34 @@ def main():
# 提取指标映射关系并批量执行
for item in zhibiao_data:
datasource = item['数据来源']
if datasource == '报表指标' or datasource == '指标库':
continue
query = item['指标描述']['指标映射']
rewritten_results = dialog_manager.understand_user_question_stream(query)
#rewritten_results = dialog_manager.understand_user_question(query)
rewritten_results = []
if rewritten_results is None or rewritten_results == []:
print('问题: {} 没有找到符合要求的数据'.format(query))
fail_count += 1
error_list.append(f"问题 {query} 调用 understand_user_question 返回空结果")
continue
selected_rewritten, selected_knowledge = rewritten_results[0]
questions = []
success_count = 0
fail_count = 0
error_list = []
# 检查 understand_user_question_stream 方法调用结果,假设存在该方法调用
# 示例调用,实际使用时请替换为真实调用
# stream_result = dialog_manager.understand_user_question_stream(query)
# if stream_result is None or stream_result == []:
# questions.append(query)
# fail_count += 1
# error_list.append(f"问题 {query} 调用 understand_user_question_stream 返回空结果")
result = dialog_manager.execute_generated_code(selected_rewritten, selected_knowledge)
if result is None or result == []:
questions.append(selected_rewritten)
fail_count += 1
error_list.append(f"问题 {selected_rewritten} 调用 execute_generated_code 返回空结果")
error_list.append(f"问题 {query} {selected_rewritten} 调用 execute_generated_code 返回空结果")
else:
success_count += 1
print(result)
#print(result)
if __name__ == "__main__":
main()
total = success_count + fail_count
if total > 0:
success_rate = success_count / total
@@ -98,5 +118,5 @@ if __name__ == "__main__":
print("错误列表:")
for error in error_list:
print(error)
main()