class_docstr: Generates the prompt for generating synthetic dataframe
code: def execute(self, input: Any, **kwargs) -> Any:
      context: PipelineContext = kwargs.get("context")
      logger = kwargs.get("logger")
  
      if context is None or len(context.dfs) == 0:
          raise ValueError("Dataframe not found")
  
      prompt = GenerateSyntheticDfPrompt(
          amount=self._amount,
          dataframe=context.dfs[kwargs.get("dataframe_index", 0)],
      )
      logger.log(f"Generate Prompt: {prompt}")
  
      return prompt
  
file_path: pandas-ai/pandasai/pipelines/synthetic_dataframe/synthetic_df_prompt.py
imports: from typing import Any
  from pandasai.pipelines.pipeline_context import PipelineContext
  from pandasai.pipelines.base_logic_unit import BaseLogicUnit
  from pandasai.prompts.generate_synthetic_df_prompt import GenerateSyntheticDfPrompt
label_desc: Use image node_id 2 for calling the SyntheticDataframePrompt obj's underlying member method code with example usage: obj.execute(input) and returns: prompt