This project aims to provide a structured approach to working with digital twins and support the analysis that one might want to carry out in this context.
The project provides a pipeline like approach for managing a combination of time series data flow and events. The approach allows time series data to be processed and events to be generated. Events can then in turn be tied to new replications of pipelines.
from the repo root go do backend/digital-twin-platform
and run the following commands:
- pipenv and python 3 is required
python3 -m venv venv
source ./venv/bin/activate
pip install -e .[dev,test]
# run tests
cd tests/digital_twin_tooling &&
python -m unittest discover -v -s .
# build egg
python -m build
# upload release
twine upload dist/*
First select a new folder which does not have a virtual environment already.
The wheel package can be taken from the dist
folder or from the artifact produced from the job on github.
mkdir /tmp/digital_twin_platform
cd /tmp/digital_twin_platform
# install whl
pipenv install dist/digital_twin_tooling-*-py3-none-any.whl
pipenv run python -m "digital_twin_tooling" --help
usage: digital_twin_platform [-h] -pipe PIPE [-project PROJECT] [-work WORK] [-reload RELOAD] [-show] [-pdf] [-e] [-t TIMEOUT]
optional arguments:
-h, --help show this help message and exit
-pipe PIPE, --pipe-path PIPE
Path to a pipe .yml file
-project PROJECT, --project-path PROJECT
Path to the project root containing the .env
-work WORK, --working-path WORK
Optional path to a working directory
-reload RELOAD, --reload-pipe RELOAD
If the pipeline should be reloaded instead of configured
-show, --show Show the pipeline
-pdf, --visualize-as-pdf
View the pipeline in pdf format
-e, --execute Execute the pipeline
-t TIMEOUT, --time-out TIMEOUT
Pipeline execution timeout
python -m "digital_twin_tooling" -pipe project_1_test/pipeline-standalone.yml -project project_1_test -show -e -t 5