The private database analysis agent has been basically completed.
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@@ -12,8 +12,8 @@ import json
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# 添加src目录到Python路径
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '.'))
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from QueryEngine import DeepSearchAgent, Config
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from config import DEEPSEEK_API_KEY, TAVILY_API_KEY
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from InsightEngine import DeepSearchAgent, Config
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from config import DEEPSEEK_API_KEY, DB_HOST, DB_USER, DB_PASSWORD, DB_NAME, DB_PORT, DB_CHARSET
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def main():
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@@ -24,8 +24,8 @@ def main():
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layout="wide"
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)
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st.title("Deep Search Agent")
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st.markdown("基于DeepSeek的无框架深度搜索AI代理")
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st.title("Insight Engine Agent")
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st.markdown("基于DeepSeek的本地舆情数据库深度分析AI代理")
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# 侧边栏配置
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with st.sidebar:
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@@ -96,21 +96,31 @@ def main():
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st.error("请提供OpenAI API Key")
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return
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# 自动使用配置文件中的API密钥
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# 自动使用配置文件中的API密钥和数据库配置
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deepseek_key = DEEPSEEK_API_KEY
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tavily_key = TAVILY_API_KEY
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db_host = DB_HOST
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db_user = DB_USER
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db_password = DB_PASSWORD
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db_name = DB_NAME
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db_port = DB_PORT
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db_charset = DB_CHARSET
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# 创建配置
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config = Config(
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deepseek_api_key=deepseek_key if llm_provider == "deepseek" else None,
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openai_api_key=openai_key if llm_provider == "openai" else None,
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tavily_api_key=tavily_key,
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db_host=db_host,
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db_user=db_user,
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db_password=db_password,
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db_name=db_name,
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db_port=db_port,
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db_charset=db_charset,
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default_llm_provider=llm_provider,
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deepseek_model=model_name if llm_provider == "deepseek" else "deepseek-chat",
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openai_model=model_name if llm_provider == "openai" else "gpt-4o-mini",
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max_reflections=max_reflections,
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max_content_length=max_content_length,
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output_dir="query_engine_streamlit_reports"
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output_dir="insight_engine_streamlit_reports"
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)
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# 执行研究
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