code: def __init__(
      self,
      context: Optional[PipelineContext] = None,
      logger: Optional[Logger] = None,
  ):
      self._pipeline = Pipeline(
          context=context,
          logger=logger,
          steps=[
              CacheLookup(),
              PromptGeneration(
                  skip_if=lambda pipeline_context: pipeline_context.get_intermediate_value(
                      "is_present_in_cache"
                  )
              ),
              CodeGenerator(
                  skip_if=lambda pipeline_context: pipeline_context.get_intermediate_value(
                      "is_present_in_cache"
                  )
              ),
              CachePopulation(
                  skip_if=lambda pipeline_context: pipeline_context.get_intermediate_value(
                      "is_present_in_cache"
                  )
              ),
              CodeExecution(),
              ResultValidation(),
              ResultParsing(),
          ],
      )
  
file_path: pandas-ai/pandasai/pipelines/smart_datalake_chat/generate_smart_datalake_pipeline.py
imports: from typing import Optional
  from ...helpers.logger import Logger
  from ..pipeline import Pipeline
  from ..pipeline_context import PipelineContext
  from .cache_lookup import CacheLookup
  from .cache_population import CachePopulation
  from .code_execution import CodeExecution
  from .code_generator import CodeGenerator
  from .prompt_generation import PromptGeneration
  from .result_parsing import ResultParsing
  from .result_validation import ResultValidation
label_desc: Use image node_id 1 to create a new GenerateSmartDatalakePipeline object  with example: obj = GenerateSmartDatalakePipeline(context, logger)