update route and sql prompt

ai_agent.py

@@ -240,6 +240,8 @@ def Router():
         You are an expert at routing a user question to a 專業知識 or 自有數據. 
         Use company private data for questions about the informations about a company's greenhouse gas emissions data.
         Otherwise, use the 專業知識 for questions on ESG field knowledge or news about ESG. 
+        你需要分辨使用者問題是否在詢問公司的自有數據，例如想了解公司的碳排放源數據等等，如果判斷為是，則使用"自有數據"，
+        若使用者的問題是想了解碳盤查或碳管理等等的 ESG 知識和相關新聞，請使用"專業知識"。
         You do not need to be stringent with the keywords in the question related to these topics. 
         Give a binary choice '自有數據' or '專業知識' based on the question. 
         Return the a JSON with a single key 'datasource' and no premable or explanation. 

systex_app.py

@@ -44,7 +44,9 @@ def agent(question: str, chat_history: List[ChatHistoryItem] = Body(...)):
     start = time.time()
     # TODO rewrite query
     # _search_query = get_search_query()
-    # chat_history = [(item.q, item.a) for item in chat_history[-5:] if item.a != "" and item.a != "string"]
+    # chat_history = [item for item in chat_history if question != item.q]
+    # chat_history = [(item.q, item.a) for item in chat_history[-5:] if item.a != "" and item.a != "string" ]
+    # print(chat_history)
     # modified_question = _search_query.invoke({"question": question, "chat_history": chat_history})
     
     with get_openai_callback() as cb:

text_to_sql_private.py

@@ -316,8 +316,8 @@ def sql_to_nl_chain(llm):
         SQL Result: [(1102.3712,)]
         Answer: 建準廣興廠去年的類別1總排放量是1102.3712
 
-        如果你不知道答案或SQL query 出現錯誤請回答："很抱歉，目前我無法回答您的問題，請將您的詢問發送至 test@systex.com 以便獲得更進一步的幫助，謝謝。"
-        
+        如果你不知道答案或SQL query 出現Error請回答："很抱歉，目前我無法回答您的問題，請將您的詢問發送至 test@systex.com 以便獲得更進一步的幫助，謝謝。"
+        若 SQL Result 為 0 代表數據為0。
         勿回答無關資訊
         <|eot_id|>