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 %}
