refactor: The first refactored version for sdk release (#907)

Co-authored-by: chengfangyin2 <chengfangyin3@jd.com>

dbgpt/app/scene/chat_dashboard/prompt.py

@@ -0,0 +1,54 @@
+import json
+from dbgpt.core.interface.prompt import PromptTemplate
+from dbgpt._private.config import Config
+from dbgpt.app.scene import ChatScene
+from dbgpt.app.scene.chat_dashboard.out_parser import ChatDashboardOutputParser
+
+CFG = Config()
+
+PROMPT_SCENE_DEFINE = "You are a data analysis expert, please provide a professional data analysis solution"
+
+_DEFAULT_TEMPLATE = """
+According to the following table structure definition:
+{table_info}
+Provide professional data analysis to support users' goals:
+{input}
+
+Provide at least 4 and at most 8 dimensions of analysis according to user goals.
+The output data of the analysis cannot exceed 4 columns, and do not use columns such as pay_status in the SQL where condition for data filtering.
+According to the characteristics of the analyzed data, choose the most suitable one from the charts provided below for data display, chart type:
+{supported_chat_type}
+
+Pay attention to the length of the output content of the analysis result, do not exceed 4000 tokens
+
+Give the correct {dialect} analysis SQL
+1.Do not use unprovided values such as 'paid'
+2.All queried values must have aliases, such as select count(*) as count from table
+3.If the table structure definition uses the keywords of {dialect} as field names, you need to use escape characters, such as select `count` from table
+4.Carefully check the correctness of the SQL, the SQL must be correct, display method and summary of brief analysis thinking, and respond in the following json format:
+{response}
+The important thing is: Please make sure to only return the json string, do not add any other content (for direct processing by the program), and the json can be parsed by Python json.loads
+"""
+
+RESPONSE_FORMAT = [
+    {
+        "sql": "data analysis SQL",
+        "title": "Data Analysis Title",
+        "showcase": "What type of charts to show",
+        "thoughts": "Current thinking and value of data analysis",
+    }
+]
+
+
+PROMPT_NEED_STREAM_OUT = False
+
+prompt = PromptTemplate(
+    template_scene=ChatScene.ChatDashboard.value(),
+    input_variables=["input", "table_info", "dialect", "supported_chat_type"],
+    response_format=json.dumps(RESPONSE_FORMAT, indent=4),
+    template_define=PROMPT_SCENE_DEFINE,
+    template=_DEFAULT_TEMPLATE,
+    stream_out=PROMPT_NEED_STREAM_OUT,
+    output_parser=ChatDashboardOutputParser(is_stream_out=PROMPT_NEED_STREAM_OUT),
+)
+CFG.prompt_template_registry.register(prompt, is_default=True)