I was following pipelines tutorial, create all needed files, started the kedro with kedro run --node=preprocessing_data
but got stuck with such error message:
ValueError: Pipeline does not contain nodes named ['preprocessing_data'].
If I run kedro without node
parameter, I receive
kedro.context.context.KedroContextError: Pipeline contains no nodes
Contents of the files:
src/project/pipelines/data_engineering/nodes.py
def preprocess_data(data: SparkDataSet) -> None:
print(data)
return
src/project/pipelines/data_engineering/pipeline.py
def create_pipeline(**kwargs):
return Pipeline(
[
node(
func=preprocess_data,
inputs="data",
outputs="preprocessed_data",
name="preprocessing_data",
),
]
)
src/project/pipeline.py
def create_pipelines(**kwargs) -> Dict[str, Pipeline]:
de_pipeline = de.create_pipeline()
return {
"de": de_pipeline,
"__default__": Pipeline([])
}
I think it looks like you need to have the pipeline in __default__
.
e.g.
def create_pipelines(**kwargs) -> Dict[str, Pipeline]:
de_pipeline = de.create_pipeline()
return {
"de": data_engineering_pipeline,
"__default__": data_engineering_pipeline
}
Then kedro run --node=preprocessing_data
works for me.
Mayurc is correct there are no nodes because your __default__
pipeline is empty. Another option is to run just the de
pipeline with the cli.
kedro run --pipeline de
You can find this option and more in the help text of the run command.
$ kedro run --help
Usage: kedro run [OPTIONS]
Run the pipeline.
Options:
--from-inputs TEXT A list of dataset names which should be used as a
starting point.
--from-nodes TEXT A list of node names which should be used as a
starting point.
--to-nodes TEXT A list of node names which should be used as an
end point.
-n, --node TEXT Run only nodes with specified names.
-r, --runner TEXT Specify a runner that you want to run the pipeline
with.
This option cannot be used together with
--parallel.
-p, --parallel Run the pipeline using the `ParallelRunner`.
If
not specified, use the `SequentialRunner`. This
flag cannot be used together
with --runner.
-e, --env TEXT Run the pipeline in a configured environment. If
not specified,
pipeline will run using environment
`local`.
-t, --tag TEXT Construct the pipeline using only nodes which have
this tag
attached. Option can be used multiple
times, what results in a
pipeline constructed from
nodes having any of those tags.
-lv, --load-version TEXT Specify a particular dataset version (timestamp)
for loading.
--pipeline TEXT Name of the modular pipeline to run.
If not set,
the project pipeline is run by default.
-c, --config FILE Specify a YAML configuration file to load the run
command arguments from. If command line arguments
are provided, they will
override the loaded ones.
--params TEXT Specify extra parameters that you want to pass
to
the context initializer. Items must be separated
by comma, keys - by colon,
example:
param1:value1,param2:value2. Each parameter is
split by the first comma,
so parameter values are
allowed to contain colons, parameter keys are not.
-h, --help Show this message and exit.
Posted a second answer as the full help output did not fit in a comment.
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