def __init__()

in google_cloud_automlops/orchestration/base.py [0:0]

• 19 lines of code
• 3 McCabe index (conditional complexity)

    def __init__(self,
                 func: Optional[Callable] = None,
                 name: Optional[str] = None,
                 description: Optional[str] = None,
                 comps_dict: dict = None):
        """Initiates a pipeline object created out of a function holding
        all necessary code.

        Args:
            func (Optional[Callable]): The python function to create a pipeline from. The function
                should have type annotations for all its arguments, indicating how it is intended to
                be used (e.g. as an input/output Artifact object, a plain parameter, or a path to a
                file). Defaults to None.
            name (Optional[str]): The name of the pipeline. Defaults to None.
            description (Optional[str]): Short description of what the pipeline does. Defaults to None.
            comps_list (dict): Dictionary of potential components for pipeline to utilize imported
                as the global held in AutoMLOps.py. Defaults to None.
        """
        # Instantiate and set key pipeline attributes
        self.func = func
        self.func_name = func.__name__
        self.name = DEFAULT_PIPELINE_NAME if not name else name
        self.description = description
        self.src_code = get_function_source_definition(self.func)
        self.comps = self.get_pipeline_components(func, comps_dict)

        # Instantiate attributes to be set at build process
        self.base_image = None
        self.custom_training_job_specs = None
        self.pipeline_params = None
        self.pubsub_topic_name = None
        self.use_ci = None
        self.project_id = None
        self.gs_pipeline_job_spec_path = None
        self.setup_model_monitoring = None