kopia lustrzana https://github.com/simonw/datasette
Switch to hosting demo on Fly, closes #1522
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@ -2,7 +2,7 @@
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See also [Running Datasette behind a proxy](https://docs.datasette.io/en/latest/deploying.html#running-datasette-behind-a-proxy)
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This live demo is running at https://apache-proxy-demo.datasette.io/
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This live demo is running at https://datasette-apache-proxy-demo.fly.dev/prefix/
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To build locally, passing in a Datasette commit hash (or `main` for the main branch):
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@ -14,3 +14,25 @@ Then run it like this:
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docker run -p 5000:80 datasette-apache-proxy-demo
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And visit `http://localhost:5000/` or `http://localhost:5000/prefix/`
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## Deployment to Fly
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To deploy to [Fly](https://fly.io/) first create an application there by running:
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flyctl apps create --name datasette-apache-proxy-demo
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You will need a different name, since I have already taken that one.
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Then run this command to deploy:
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flyctl deploy --build-arg DATASETTE_REF=main
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This uses `fly.toml` in this directory, which hard-codes the `datasette-apache-proxy-demo` name - so you would need to edit that file to match your application name before running this.
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## Deployment to Cloud Run
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Deployments to Cloud Run currently result in intermittent 503 errors and I'm not sure why, see [issue #1522](https://github.com/simonw/datasette/issues/1522).
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You can deploy like this:
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DATASETTE_REF=main ./deploy-to-cloud-run.sh
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@ -0,0 +1,37 @@
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app = "datasette-apache-proxy-demo"
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kill_signal = "SIGINT"
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kill_timeout = 5
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processes = []
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[env]
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[experimental]
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allowed_public_ports = []
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auto_rollback = true
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[[services]]
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http_checks = []
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internal_port = 80
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processes = ["app"]
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protocol = "tcp"
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script_checks = []
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[services.concurrency]
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hard_limit = 25
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soft_limit = 20
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type = "connections"
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[[services.ports]]
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handlers = ["http"]
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port = 80
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[[services.ports]]
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handlers = ["tls", "http"]
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port = 443
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[[services.tcp_checks]]
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grace_period = "1s"
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interval = "15s"
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restart_limit = 0
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timeout = "2s"
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