datasette publish gcloud #146
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simonw
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This change introduces a new plugin hook, publish_subcommand, which can be used to implement new subcommands for the "datasette publish" command family. I've used this new hook to refactor out the "publish now" and "publish heroku" implementations into separate modules. I've also added unit tests for these two publishers, mocking the subprocess.call and subprocess.check_output functions. As part of this, I introduced a mechanism for loading default plugins. These are defined in the new "default_plugins" list inside datasette/app.py Closes #217 (Plugin support for datasette publish) Closes #348 (Unit tests for "datasette publish") Refs #14, #59, #102, #103, #146, #236, #347
simonw
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… heroku/now (#349) This change introduces a new plugin hook, publish_subcommand, which can be used to implement new subcommands for the "datasette publish" command family. I've used this new hook to refactor out the "publish now" and "publish heroku" implementations into separate modules. I've also added unit tests for these two publishers, mocking the subprocess.call and subprocess.check_output functions. As part of this, I introduced a mechanism for loading default plugins. These are defined in the new "default_plugins" list inside datasette/app.py Closes #217 (Plugin support for datasette publish) Closes #348 (Unit tests for "datasette publish") Refs #14, #59, #102, #103, #146, #236, #347
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I'm going to call this "done" thanks to cloudrun: #400 |
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See also #103
It looks like you can start a Google Cloud VM with a "docker container" option - and the Google Cloud Registry is easy to push containers to. So it would be feasible to have
datasette publish gcloud ...automatically build a container, push it to GCR, then start a new VM instance with it:https://cloud.google.com/container-registry/docs/pushing-and-pulling
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