It might be that you would like to package your project and ship it with your glue job. in order to do that make sure you;
Specify the absolute path in the root of your project.
```
current_dir = pathlib.Path(__file__).parent.absolute()
with DataJobStack(
stack_name="simple-data-pipeline", project_root=current_dir
)
```
Make sure you have configured a setup.py in the root of your poject.
git clone [email protected]:vincentclaes/datajob.git
cd datajob
pip install poetry --upgrade
poetry shell
poetry install
cd examples/data_pipeline_with_packaged_project
export AWS_PROFILE=default
export AWS_DEFAULT_REGION=eu-west-1
export AWS_ACCOUNT=$(aws sts get-caller-identity --query Account --output text --profile $AWS_PROFILE)
cdk bootstrap aws://$AWS_ACCOUNT/$AWS_DEFAULT_REGION
# if you want to create a wheel from setup.py and create the services
# and deploy the packaged dependencies
python setup.py bdist_wheel
cdk deploy --app "python datajob_stack.py" --require-approval never
# to execute the pipeline, pass the name of the step functions statemachine
# which is the same as the name of the stack in this case.
datajob execute --state-machine data-pipeline-pkg-workflow
cdk destroy --app "python datajob_stack.py" -c stage=dev