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Update app.py
Browse files
app.py
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@@ -194,32 +194,39 @@ class QASystem:
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logger.error(f"System initialization error: {str(e)}")
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return False
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def process_query(self, query: str) ->
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try:
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# Use
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# Stream the responses
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for step in self.graph.stream(
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{"messages": [HumanMessage(content=query)]},
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stream_mode="values",
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config={"configurable": {"thread_id": thread_id}}
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)
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return responses
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except Exception as e:
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logger.error(f"Query processing error: {str(e)}")
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return
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qa_system = QASystem()
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if qa_system.initialize_system():
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@@ -229,5 +236,6 @@ else:
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@app.post("/query")
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async def query_api(query: str):
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logger.error(f"System initialization error: {str(e)}")
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return False
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def process_query(self, query: str) -> Dict[str, str]:
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"""Process a query and return a single final response"""
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# Generate a unique thread ID for production use
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# For simplicity, using a fixed ID here
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thread_id = "abc123"
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# Use invoke instead of stream to get only the final result
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final_state = self.graph.invoke(
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{"messages": [HumanMessage(content=query)]},
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config={"configurable": {"thread_id": thread_id}}
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)
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# Extract only the last AI message from the final state
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ai_messages = [m for m in final_state["messages"] if m.type == "ai"]
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if ai_messages:
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# Return only the last AI message
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return {
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'content': ai_messages[-1].content,
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'type': ai_messages[-1].type
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}
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return {
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'content': "No response generated",
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'type': 'error'
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}
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except Exception as e:
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logger.error(f"Query processing error: {str(e)}")
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return {
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'content': f"Query processing error: {str(e)}",
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'type': 'error'
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}
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qa_system = QASystem()
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if qa_system.initialize_system():
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@app.post("/query")
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async def query_api(query: str):
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"""API endpoint that returns a single response for a query"""
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response = qa_system.process_query(query)
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return {"response": response}
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