feat(editor): ChatExcel

ChatExcel devlop part 1

pilot/scene/chat_data/chat_excel/excel_learning/prompt.py

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+import json
+from pilot.prompts.prompt_new import PromptTemplate
+from pilot.configs.config import Config
+from pilot.scene.base import ChatScene
+from pilot.scene.chat_db.auto_execute.out_parser import DbChatOutputParser, SqlAction
+from pilot.common.schema import SeparatorStyle
+
+CFG = Config()
+
+PROMPT_SCENE_DEFINE = "You are a data analysis expert. "
+
+_DEFAULT_TEMPLATE = """
+This is an example data，please learn to understand the structure and content of this data:
+    {data_example}
+Explain the meaning and function of each column, and give a simple and clear explanation of the technical terms.  
+Provide some analysis options,please think step by step.
+
+Please return your answer in JSON format, the return format is as follows:
+    {response}
+"""
+
+RESPONSE_FORMAT_SIMPLE =     {
+    "Data Analysis": "数据内容分析总结",
+    "Colunm Analysis": [{"colunm name": "字段介绍，专业术语解释(请尽量简单明了)"}],
+    "Analysis Program": ["1.分析方案1，图表展示方式1", "2.分析方案2，图表展示方式2"],
+}
+
+PROMPT_SEP = SeparatorStyle.SINGLE.value
+
+PROMPT_NEED_NEED_STREAM_OUT = False
+
+# Temperature is a configuration hyperparameter that controls the randomness of language model output.
+# A high temperature produces more unpredictable and creative results, while a low temperature produces more common and conservative output.
+# For example, if you adjust the temperature to 0.5, the model will usually generate text that is more predictable and less creative than if you set the temperature to 1.0.
+PROMPT_TEMPERATURE = 0.5
+
+prompt = PromptTemplate(
+    template_scene=ChatScene.ExcelLearning.value(),
+    input_variables=["data_example"],
+    response_format=json.dumps(RESPONSE_FORMAT_SIMPLE, ensure_ascii=False, indent=4),
+    template_define=PROMPT_SCENE_DEFINE,
+    template=_DEFAULT_TEMPLATE,
+    stream_out=PROMPT_NEED_NEED_STREAM_OUT,
+    output_parser=DbChatOutputParser(
+        sep=PROMPT_SEP, is_stream_out=PROMPT_NEED_NEED_STREAM_OUT
+    ),
+    # example_selector=sql_data_example,
+    temperature=PROMPT_TEMPERATURE,
+)
+CFG.prompt_template_registry.register(prompt, is_default=True)
+