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pilot/scene/chat_dashboard/prompt.py
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@ -18,17 +18,17 @@ Provide professional data analysis to support the goal:
{input} {input}
Provide multi-dimensional analysis as much as possible according to the target requirements, no less than 4 and no more than 8 dimensions. Provide multi-dimensional analysis as much as possible according to the target requirements, no less than 4 and no more than 8 dimensions.
The data columns of the analysis output should not exceed 4. The data columns of the analysis output should not exceed 4, do not use column pay_status in SQL where condition.
According to the characteristics of the analyzed data, choose the most suitable one from the charts provided below for display, chart type: According to the characteristics of the analyzed data, choose the most suitable one from the charts provided below for display, chart type:
{supported_chat_type} {supported_chat_type}
Pay attention to the length of the output content of the analysis result, do not exceed 4000tokens Pay attention to the length of the output content of the analysis result, do not exceed 4000tokens
Do not use unprovided fields and field value in analysis SQL, Do not use column pay_status as a query condition in SQL.
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: 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:
{supported_chat_type} {supported_chat_type}
Give {dialect} data analysis SQL（Do not use data not provided as field value), analysis title, display method and analytical thinking,respond in the following json format: Give {dialect} data analysis SQL（Do not use unprovided field value ), analysis title, display method and analytical thinking,respond in the following json format:
{response} {response}
Ensure the response is correct json and can be parsed by Python json.loads Ensure the response is correct json and can be parsed by Python json.loads

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