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WEB API independent

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yhjun1026 2023-07-10 14:34:11 +08:00
parent 36dd616a19
commit 3638f4848f
1 changed files with 8 additions and 3 deletions
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11
pilot/scene/chat_dashboard/prompt.py
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@ -8,15 +8,16 @@ from pilot.common.schema import SeparatorStyle
CFG = Config()
PROMPT_SCENE_DEFINE = """You are a {dialect} data analysis expert, please provide a professional data analysis solution according to the following situations"""
PROMPT_SCENE_DEFINE = None
_DEFAULT_TEMPLATE = """
You are a {dialect} data analysis expert, please provide a professional data analysis solution according to the following situations
According to the structure definition in the following tables:
{table_info}
Provide professional data analysis to support the goal:
{input}
Provide multi-dimensional analysis as much as possible according to the target requirements, no less than 3 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.
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}
@ -25,9 +26,11 @@ Pay attention to the length of the output content of the analysis result, do not
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}
Give {dialect} data analysis SQL and do not use value not provided in sql, analysis title, display method and analytical thinking,respond in the following json format:
Do not use unprovided fields and field value in data analysis SQL.
Give {dialect} data analysis SQL, analysis title, display method and analytical thinking,respond in the following json format:
{response}
Ensure the response is correct json and can be parsed by Python json.loads
"""
RESPONSE_FORMAT = [
@ -55,3 +58,5 @@ prompt = PromptTemplate(
),
)
CFG.prompt_templates.update({prompt.template_scene: prompt})