62 lines
2.2 KiB
Markdown
62 lines
2.2 KiB
Markdown
# Buildx Migration Notes
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This backend branch temporarily pins the shared GitLab include to the infra branch
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`codex/buildx-multiarch-template` so the new shared image build flow can be tested
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end to end before the infra MR is merged.
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After the infra MR is merged:
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- remove the temporary `ref:` override from `.gitlab-ci.yml`
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- keep the repo-level variables that describe how this repo maps images to a single
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multi-stage `Dockerfile`
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## Backend pattern
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Backend now uses:
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- one root `Dockerfile`
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- `DOCKER_IMAGE_ENVS: "production test"`
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- `DOCKERFILE_PATH: "Dockerfile"`
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- `DOCKER_BUILD_TARGETS: "production=production test=test"`
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- shared infra template builds amd64 automatically on push pipelines
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- shared infra template builds arm64 manually on branch pipelines and automatically on default-branch pushes
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## turniere-frontend
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Frontend can move in two steps.
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1. No Dockerfile restructuring required for the shared buildx rollout itself.
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Its current `docker/production/Dockerfile` already fits the shared template.
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2. To add Raspberry Pi support, verify the current production image really builds on
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`linux/arm64`.
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The current file uses `node:16-alpine` and `alpine`; that should be checked in CI.
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Recommended frontend CI change after infra is merged:
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- keep `DOCKER_IMAGE_ENVS: "production"`
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- no extra platform variable needed if default shared behavior is acceptable
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Optional frontend follow-up:
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- if you want the same repo shape as backend, replace `docker/production/Dockerfile`
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with a root multi-stage `Dockerfile`, then add:
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`DOCKERFILE_PATH: "Dockerfile"` and
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`DOCKER_BUILD_TARGETS: "production=production"`
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## turniere-match
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Match also does not need a Dockerfile restructuring for the shared buildx rollout.
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Its current `docker/production/Dockerfile` already matches the default shared
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template contract.
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Recommended match CI change after infra is merged:
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- keep `DOCKER_IMAGE_ENVS: "production"`
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- no extra platform variable needed if default shared behavior is acceptable
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Suggested follow-up:
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- run a multi-arch build smoke test for the Alpine-based Python image
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- if packaging or native wheels become slow on arm64, consider a multi-stage
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Dockerfile with a slimmer runtime image similar to the backend pattern
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