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WEB API independent
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@ -23,10 +23,11 @@ According to the characteristics of the analyzed data, choose the most suitable
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{supported_chat_type}
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{supported_chat_type}
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Pay attention to the length of the output content of the analysis result, do not exceed 4000tokens
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Pay attention to the length of the output content of the analysis result, do not exceed 4000tokens
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Do not use unprovided fields and field value in data analysis SQL, Do not use column pay_status as a query condition in SQL.
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According to the characteristics of the analyzed data, choose the best one from the charts provided below to display, use different types of charts as much as possible,chart types:
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According to the characteristics of the analyzed data, choose the best one from the charts provided below to display, use different types of charts as much as possible,chart types:
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{supported_chat_type}
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{supported_chat_type}
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Do not use unprovided fields and field value in data analysis SQL.
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Give {dialect} data analysis SQL, analysis title, display method and analytical thinking,respond in the following json format:
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Give {dialect} data analysis SQL, analysis title, display method and analytical thinking,respond in the following json format:
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{response}
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{response}
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Ensure the response is correct json and can be parsed by Python json.loads
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Ensure the response is correct json and can be parsed by Python json.loads
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@ -48,8 +48,8 @@ class ChatWithDbAutoExecute(BaseChat):
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"input": self.current_user_input,
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"input": self.current_user_input,
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"top_k": str(self.top_k),
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"top_k": str(self.top_k),
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"dialect": self.database.dialect,
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"dialect": self.database.dialect,
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"table_info": self.database.table_simple_info(self.db_connect)
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# "table_info": self.database.table_simple_info(self.db_connect)
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# "table_info": client.get_similar_tables(dbname=self.db_name, query=self.current_user_input, topk=self.top_k)
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"table_info": client.get_similar_tables(dbname=self.db_name, query=self.current_user_input, topk=self.top_k)
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}
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}
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return input_values
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return input_values
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