testcontainers / testcontainers/testcontainers-python
Feature: read OCI images from the disk without requiring a tarball
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- Dominant language
- Python
- Stars
- 2.3k
- Forks
- 386
- Avg merge
- 4h 40m
- Merged PRs (30d)
- 1
Description
What are you trying to do?
Under Bazel, or other local-only build systems, an image is constructed as a series of layers which are only on the disk, not pushed to any remote docker registry.
To test such an image, one option is to create a tarball format that's suitable for docker load. Then in the Setup of the python test, you can use the docker library from Pypi to do that docker load.
However, constructing the tarball is an expensive operation. In particular as Bazel has distinct build steps that can run remotely and have cached results, we get a massive file for a typical user image that has to be stored on a network location. Building the tarball should not be required, it's just a way to be docker load-compatible.
Instead, we could teach testcontainers how to read the OCI format, which is a JSON descriptor pointing to the layers as blobs. These could be loaded into the daemon directly.
https://github.com/aspect-build/bazel-examples/pull/306 shows how this looks.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the issue description and the linked bazel-examples pull request to understand the OCI layout and how layers are exposed on disk. Review the Python test setup and its use of the Docker library, then determine how testcontainers could load OCI descriptors and blobs directly into the daemon. Done means local OCI images can be tested without first constructing a Docker-loadable tarball.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python
- Domain
- devops, testing
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100