code: def generate_airflow_spec(name, pipeline_spec):
      
      task_definitions = ''
      up_steam_statements = ''
      parameters = pipeline_spec.get('parameters')
      for (task_id, task_details) in sorted(pipeline_spec['tasks'].items()):
        task_def = PipelineGenerator._get_operator_definition(task_id, task_details, parameters)
        task_definitions = task_definitions + task_def
        dependency_def = PipelineGenerator._get_dependency_definition(
          task_id, task_details.get('up_stream', []))
        up_steam_statements = up_steam_statements + dependency_def
  
      schedule_config = pipeline_spec.get('schedule', {})
  
      default_args = PipelineGenerator._get_default_args(schedule_config,
                                                         pipeline_spec.get('emails', {}))
      dag_definition = PipelineGenerator._get_dag_definition(
        name, schedule_config.get('interval', '@once'), schedule_config.get('catchup', False))
      return PipelineGenerator._imports + default_args + dag_definition + task_definitions + \
          up_steam_statements
docs: Gets the airflow python spec for the Pipeline object.