Add "fig push" command #467
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This is going to heavily conflict with my PR #457. I think that keeping the fig names as-is (without a repo name) is kind of nice. Wouldn't you want more descriptive names on the images before pushing them? I could see these working together by just pushing tags instead of the internal names of images. |
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There is a bunch of name parsing code that expects fig images to always be in the form , does this pass the integration tests? Does it cleanup all the images afterward?
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I can revert the naming scheme change to just use the existing fig style. Will this be enough to avoid conflicts with your PR? Instead, push could filter for services that define both a "build" AND "image" property. This would allow a more descriptive image since the image name here would be decoupled from the fig service name. The repo could also be specified here. It would also make it possible to limit which build you actually care about pushing (since it would only push builds that also have an image property defined). Does this sound better? other suggestions?
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I think using the existing naming scheme will be enough to avoid merge conflicts, yes.
I think the decoupled image name you're talking about is the same as the tags from #457?
I think specifying both build and image maybe be confusing, because you'd be re-using image to mean two things (either source image or destination image) based on the presence of another field. Right now specifying both raises an error.
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So to avoid confusion it sounds like it would be best to just have a separate field to track images want to be pushed. Maybe this command is not even needed. It basically reduces to a shortcut around "docker push" for a group of images that each play a role in the current fig file.
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Yes, I was thinking that the tags field from #457 would be that extra field. That way docker push could push all of the tags.
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That makes sense to me. I'll wait for #457 to land and then I'll update.
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This command pushes any docker images that are declared as builds in the fig.yml to a docker repository. You can figure the repository using --repository-name or -r at the command line. This is a good starting point for figuring out how to deploy a fig stack into a production/cluster environment without having to make any assumptions about what this environment looks like.