def register_pipelines() -> Dict[str, Pipeline]: """Register the project's pipelines. Returns: A mapping from a pipeline name to a ``Pipeline`` object. """ data_engineering_pipeline = de.create_pipeline() data_science_pipeline = ds.create_pipeline() return { "de": data_engineering_pipeline, "ds": data_science_pipeline, "__default__": data_engineering_pipeline + data_science_pipeline, }
def register_pipelines(self) -> Dict[str, Pipeline]: """Register the project's pipeline. Returns: A mapping from a pipeline name to a ``Pipeline`` object. """ {% if cookiecutter.include_example == "True" -%} data_engineering_pipeline = de.create_pipeline() data_science_pipeline = ds.create_pipeline() return { "de": data_engineering_pipeline, "ds": data_science_pipeline, "__default__": data_engineering_pipeline + data_science_pipeline, } {%- else -%}return {"__default__": Pipeline([])}{%- endif %}
def create_pipelines(**kwargs) -> Dict[str, Pipeline]: """Create the project's pipeline. Args: kwargs: Ignore any additional arguments added in the future. Returns: A mapping from a pipeline name to a ``Pipeline`` object. """ data_engineering_pipeline = de.create_pipeline() data_science_pipeline = ds.create_pipeline() return { "de": data_engineering_pipeline, "ds": data_science_pipeline, "__default__": data_engineering_pipeline + data_science_pipeline, }
def create_pipelines(**kwargs) -> Dict[str, Pipeline]: """Create the project's pipeline. Args: kwargs: Ignore any additional arguments added in the future. Returns: A mapping from a pipeline name to a ``Pipeline`` object. """ {% if cookiecutter.include_example == "True" %} ########################################################################### # Here you can find an example pipeline, made of two modular pipelines. # # PLEASE DELETE THIS PIPELINE ONCE YOU START WORKING ON YOUR OWN PROJECT AS # WELL AS pipelines/data_science AND pipelines/data_engineering # ------------------------------------------------------------------------- data_engineering_pipeline = de.create_pipeline() data_science_pipeline = ds.create_pipeline() return { "de": data_engineering_pipeline, "__default__": data_engineering_pipeline + data_science_pipeline, } {% else %} return { "__default__": Pipeline([]) } {% endif %}