Client library for easy scripting against Modelon Impact
Project description
Modelon-impact-client
Client library for easy scripting against Modelon Impact
Installation
For installation instructions and requirements, please refer to the documentation.
Develop
Devcontainer
If you are developing with VS Code you can use the devcontainer which gives gives you a ready to use environment for development. Just click the "Reopen in Container" button after opening the project in VS Code.
Tips and tricks
It is possible to run the 'make' commands listed bellow using the devcontainer. It will detect being in a container and bypass Docker parts of the commands.
You can open a project with the dev-container directly without having to open and then re-load. Standing in the project directory you can run:
devcontainer open .
Note that this requires the devcontainer-cli.
You can add your own extensions to devcontainers. These extensions will be added for all devcontainers. First open your 'settings' as JSON. Then, to add for example the "GitLens" extension, put the following at the bottom of the settings:
...
"remote.containers.defaultExtensions": ["eamodio.gitlens"]
}
VS Code also have a 'Install Local Extensions in 'Remote'
command, but it must be repeated for each devcontainer and everytime a devcontainer is re-built.
Creating a shell
Modelon-impact-client is developed using a Docker container for all build tools. You can get a shell into said container by running:
make shell
Manage dependencies
Dependencies are managed by poetry. Add dependencies by running
poetry add <package>
or poetry add <package> --dev
inside the shell
Running tests
Tests are executed by running make test
. You can also run make test-watch
to get a watcher
that continuously re-runs the tests.
Running lint
make lint
Build
Building modelon-impact-client is done by running
make wheel
Test
The tests for modelon-impact-client could be run by executing
make test
VCR test
Vcrpy(https://vcrpy.readthedocs.io/en/latest/) is used to mock the http requests and
responses for some of the tests. VCR.py records all HTTP interactions that take place
in a flat file called a 'cassette'. These files could are stored in the impact-client-python/tests/fixtures/vcr_cassettes
folder. When an API response/request body is updated on MI, these files need to be regenerated. To regenerate these file, follow the following steps:
- Start Modelon impact cloud - https://impact.modelon.cloud.
- Generate an MI api key and JH token and store them in secrets folder. See Readme for more information.
- Delete the cassette file you wish to regenerate from
impact-client-python/tests/fixtures/vcr_cassettes
folder. - The file could now be regenrated by executing
make regenerate-cassette
Release
The modelon-impact-client build process is a fully automated using Semantic-release
.
Automation is enabled for:
- Bumping version
- Generate changelog
This is done based on git commit semantics as described here: https://semantic-release.gitbook.io/semantic-release/
To make a new release simply run:
make publish
This command will detect what branch you are on and your git history and make a appropriate release.
Current configuration can be found in .releaserc
and specifies that commits to branch master
should be released and
commits to branch beta
should be released as a pre-release
.
This workflow make sure that no administrative time needs to be put into managing the release workflow.
Project details
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