Collaborative, extensible platform to create projects, share files, and deploy services & jobs.
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Contaxy is an extensible collaborative platform for teams to share files and deploy services and jobs easily using Docker or Kubernetes.The platform is secured so only members of a project can access its resources (files, services, jobs). Its strong extension system allows to add further functionality to the backend and web app and also to override the behavior of Contaxy's core endpoints. By adding project members or generating fine-granular access tokens, resources can easily be shared with others. Deploying a service and securely sharing it with a stakeholder? No problem.
Note: Currently, not all Docker images are pushed to DockerHub. So, the project has to be built locally, see the build section.
For the Docker deployment, have a look at the docker-compose.yaml file; you can start it via docker compose up
. For Kubernetes, have a look at the deploy script.
Important: The configurations are not meant to be used for production as the JWT secret is the default one and the ports of all services instead of only the core service are published; change the configuration accordingly.
For a list of all configurable environment variables, have a look at the config file. All fields of the Settings
class represent an environment variable that can be set.
If you deploy Contaxy behind a proxy, you can define a base url. It must not end with a slash. For example, if the web app should be accessible behind /test/app instead of /app, the CONTAXY_BASE_URL would be defined as /test.
The application needs to be registered at the desired identity provider as a prerequisite. The IDP requires a redirect URI which is https://{CONTAXY_HOST}/api/auth/oauth/callback
. For further details on how to registering the application at your IDP you should refer to it's documentation (e.g. Google). Moreover, the following env variables need to be added to contaxy:
https://home.contaxy.com/app
then you need to set home.contaxy.com
.If you want to prevent user registration via the default username / password flow, then you can set USER_REGISTRATION_ENABLED=0. You still need to initially create an admin user.
In order to initialze the system and create the admin user, call the endpoint /api/system/admin-form
on the started instance and submit the form. This can only be done once.
After initializing, visit /app/
.
In the backend
directory, run uvicorn --app-dir=src contaxy.main:app --reload
. Set the environment variables POSTGRES_CONNECTION_URI
, S3_ENDPOINT
, S3_ACCESS_KEY
, S3_SECRET_KEY
so that the locally-started Python instance can access them.
Note: We recommend to use Docker and Act to execute the containerized build process. If this is not an option, run
python build.py --make
and install the dependencies based on probable errors.
To simplify the process of building this project from scratch, we provide build-scripts - based on universal-build - that run all necessary steps (build, check, test, and release) within a containerized environment. To build and test your changes, execute the following command in the project root folder:
act -b -j build
Refer to our contribution guides for more detailed information on our build scripts and development process.
The project contains unit tests, integration tests, and stress tests. For the unit and integration tests pytest
is used, for the stress tests locust
.
To run the unit/integration tests, you have the following options:
act -j build -s BUILD_ARGS="--test"
python build.py --test
cd
into the backend/
folder and run PYTHONPATH=$(pwd) pytest
By default, unit tests are executed (marked via pytest.mark.unit
). If you want to execute the integration tests, pass --test-marker integration
to options 1 or 2 or -m "integration"
to option 3. This can be a valid pytest markexpression, hence it would also be possible to execute unit and integration tests by passing "unit and integration"
to one of the flags. If neither unit nor integration tests should be executed, pass an unknown marker such as notests
.
By default, the deployment tests are executed for the DockerDeploymentManager. If you want to execute them for the KubernetesDeploymentManager
, set the environment variables KUBERNETES_INTEGRATION_TESTS=True
and DEPLOYMENT_MANAGER=kubernetes
(for example in an .env
file in the backend directory).
Using option 1 (act
) will create a Kubernetes cluster. If you don't use act
, make sure that a Kubernetes cluster is accessible.
❗ To point to a running instance for Contaxy and execute the RemoteEndpoint tests, set the
REMOTE_BACKEND_TESTS=True
andREMOTE_BACKEND_ENDPOINT=$endpoint
variables. For executing LocalEndpoint tests, make sure that the Postgres database and S3 storage are reachable from the locally spawned instance via the environment variablesPOSTGRES_CONNECTION_URI
,S3_ENDPOINT
,S3_ACCESS_KEY
,S3_SECRET_KEY
.
To run the stress tests, you have the following options:
cd
into the backend/
folder and execute, for example, locust -f tests/endpoint_tests/locustfile.py --host=http://localhost:8000 --headless -t1m --csv=./tests/results/locust
❗ For the stress tests, the
--host
flag must be set and pointing to a running Contaxy instance.