PartitionedDataSet not found when Kedro pipeline is run in Docker - docker

Question

I have multiple text files in an S3 bucket which I read and process. So, I defined PartitionedDataSet in Kedro datacatalog which looks like this:
raw_data:
type: PartitionedDataSet
path: s3://reads/raw
dataset: pandas.CSVDataSet
load_args:
sep: "\t"
comment: "#"
In addition, I implemented this solution to get all secrets from credentials file via environment variables including AWS secret keys.
When I run things locally using kedro run everything works just fine, but when I build Docker image (using kedro-docker) and run pipeline in Docker environement with kedro docker run and by providing all enviornement variables using --docker-args option I get the following error:
Traceback (most recent call last):
File "/usr/local/bin/kedro", line 8, in <module>
sys.exit(main())
File "/usr/local/lib/python3.7/site-packages/kedro/framework/cli/cli.py", line 724, in main
cli_collection()
File "/usr/local/lib/python3.7/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
File "/usr/local/lib/python3.7/site-packages/click/core.py", line 1259, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/usr/local/lib/python3.7/site-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/usr/local/lib/python3.7/site-packages/click/core.py", line 610, in invoke
return callback(*args, **kwargs)
File "/home/kedro/kedro_cli.py", line 230, in run
pipeline_name=pipeline,
File "/usr/local/lib/python3.7/site-packages/kedro/framework/context/context.py", line 767, in run
raise exc
File "/usr/local/lib/python3.7/site-packages/kedro/framework/context/context.py", line 759, in run
run_result = runner.run(filtered_pipeline, catalog, run_id)
File "/usr/local/lib/python3.7/site-packages/kedro/runner/runner.py", line 101, in run
self._run(pipeline, catalog, run_id)
File "/usr/local/lib/python3.7/site-packages/kedro/runner/sequential_runner.py", line 90, in _run
run_node(node, catalog, self._is_async, run_id)
File "/usr/local/lib/python3.7/site-packages/kedro/runner/runner.py", line 213, in run_node
node = _run_node_sequential(node, catalog, run_id)
File "/usr/local/lib/python3.7/site-packages/kedro/runner/runner.py", line 221, in _run_node_sequential
inputs = {name: catalog.load(name) for name in node.inputs}
File "/usr/local/lib/python3.7/site-packages/kedro/runner/runner.py", line 221, in <dictcomp>
inputs = {name: catalog.load(name) for name in node.inputs}
File "/usr/local/lib/python3.7/site-packages/kedro/io/data_catalog.py", line 392, in load
result = func()
File "/usr/local/lib/python3.7/site-packages/kedro/io/core.py", line 213, in load
return self._load()
File "/usr/local/lib/python3.7/site-packages/kedro/io/partitioned_data_set.py", line 240, in _load
raise DataSetError("No partitions found in `{}`".format(self._path))
kedro.io.core.DataSetError: No partitions found in `s3://reads/raw`
Note: Pipeline works just fine in Docker environment, if I move files to some local directory, define PartitionedDataSet and build Docker image and provide environment variables through --docker-args

Answer 1

The solution (at least in my case) was to provide AWS_DEFAULT_REGION env variable in the kedro docker run command.