Adds a CircleCI integration for Ghost Inspector
(https://ghostinspector.com), a headless browser testing SaaS. The
README is updated with details about how to run GI locally.
Removes the bootstrap setup for Selenium testing with BrowserStack.
We will run a separate pod for the beat worker. There should only ever
be a single beat worker (to avoid redundant work) so the number of
replicas needs to be managed independently.
This adds both the Kubernetes config for the new pod and additional
CircleCI config to swap a new image into the pod during CD.
This will allow Kubernetes resources that only pull images occasionally
(i.e., k8s jobs) to point to a static tag name, "latest", that is updated
regularly. It also means we can refer to that image in the k8s config
tracked in the repo, instead of out-of-date images.
This applies configuration changes for the Flask app and adds changes to
the Dockerfile so that the build can make a CSP-specific JS bundle. It
adds `write_dotenv` script that creates the appropriate `.env` file for
the `parcel` bundler depending on how the `CSP` environment variable is
set.
- Configure K8s environment variables for Flask CSP usage
- Supply default CSP config setting to Flask app
- Declare the CSP arg in the Dockerfile
- Supply extra Docker build args to CD
- Fix top-level reference to boto3 in file_upload module
- Add back missing sample NGINX config for docker-compose build
Add CircleCI config for both CSPs to:
- build the Docker image and push it to the registry
- run a short-lived k8s job to apply migrations and see data
- update the images for the Flask pods and rq worker pods
This adds the AWS and Azure CircleCI orbs for updating container images
in a cluster. It installs the clients for both CSPs, configures kubectl
with a programmatic user's auth information, and executes a `kubectl set
image` command to reset the cluster image to the one that was just
pushed to the container registry.
We should try and track mainline Python as much as possible.
PyYAML was a sub-dependency of a dev dependency but was being included
in the translations utility. Bundling only the production Python
dependencies was not working because of this.
