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git-subtree-dir: ai-context/workbench-ui git-subtree-split: 32e36a5c2131e429a7081cfaf67dabad3193cda3
66 lines
1.3 KiB
Markdown
66 lines
1.3 KiB
Markdown
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# Test Suite for TrustGraph
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## Setup for Python
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```
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pip3 -m venv env
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. env/bin/activate
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pip3 install -r requirements.txt
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```
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## Dev mode
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```
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npm install
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npm run dev
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```
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This runs the application in Vite at http://localhost:5173.
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Note that UI bit works, but the generation part isn't running.
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## Run it all locally
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This builds the UI and the Python package:
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```
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make service-package
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```
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Then run the Python package which serves the generator and UI:
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```
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export PYTHONPATH=workbench-ui
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workbench-ui/scripts/service
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```
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Generation should work
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## Run it in a container
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Build the container:
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```
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make service-package VERSION=0.0.0
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```
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and run it
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```
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podman run -i -t -p 8080:8080 localhost/workbench-ui:0.0.0
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```
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Go to http://localhost:8080
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## Release it
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Deployment is Github actions, automatic to Docker Hub. Deployment kicks in
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automatically on anything with a version tag. Version tags should be of
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form v1.2.3. Convention is to have a branch name something like
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`release/vX.Y` for version tags of the form `vX.Y.Z`. So,
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version `v0.1.10` would be release on branch `release/v0.1`.
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On release, container images are pushed to docker hub.
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To release with TrustGraph, change the version number of the container
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in the trustgraph repo, `templates/values/images.jsonnet` and also
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in the config portal repo, same filename, `templates/values/images.jsonnet`.
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