49850d9253
* fix: update Docker workflow to use correct target stage name - Change target from bolt-ai-production to runtime - Matches the actual stage name in the new Dockerfile structure - Fixes CI failure: target stage 'bolt-ai-production' could not be found * fix: resolve critical Docker configuration issues This commit fixes multiple critical Docker configuration issues that prevented successful builds: **Dockerfile Issues Fixed:** - Replace incomplete runtime stage with proper production stage using Wrangler - Add missing environment variables for all API providers (DeepSeek, LMStudio, Mistral, Perplexity, OpenAI-like) - Use correct port (5173) instead of 3000 to match Wrangler configuration - Add proper bindings.sh script copying and execution permissions - Configure Wrangler metrics and proper startup command **Docker Compose Issues Fixed:** - Add missing `context` and `dockerfile` fields to app-dev service - Fix target name from `bolt-ai-development` to `development` **Package.json Issues Fixed:** - Update dockerbuild script to use correct target name `development` **Testing:** - ✅ Both `pnpm run dockerbuild` and `pnpm run dockerbuild:prod` now work - ✅ All environment variables properly configured - ✅ Docker images build successfully with proper Wrangler integration Resolves Docker build failures and enables proper containerized deployment. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * Update Dockerfile * fix: update GitHub workflow Docker targets to match Dockerfile stage names Update ci.yaml and docker.yaml workflows to use correct Docker target stage name 'bolt-ai-production' instead of 'runtime'. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Refactor Dockerfile for optimized production build Adds git installation for build/runtime scripts and introduces a separate prod-deps stage to prune dependencies before final production image. Updates file copy sources to use prod-deps stage, improving build efficiency and image size. --------- Co-authored-by: Claude <noreply@anthropic.com>
67 lines
2.0 KiB
YAML
67 lines
2.0 KiB
YAML
name: Docker Publish
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on:
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push:
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branches: [main, stable]
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tags: ['v*', '*.*.*']
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workflow_dispatch:
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: true
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permissions:
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packages: write
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contents: read
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id-token: write
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env:
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REGISTRY: ghcr.io
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jobs:
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docker-build-publish:
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runs-on: ubuntu-latest
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# timeout-minutes: 30
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set lowercase image name
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id: image
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run: echo "name=$(echo '${{ github.repository }}' | tr '[:upper:]' '[:lower:]')" >> $GITHUB_OUTPUT
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Log in to GitHub Container Registry
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uses: docker/login-action@v3
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with:
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registry: ${{ env.REGISTRY }}
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Extract metadata for Docker image
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id: meta
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uses: docker/metadata-action@v4
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with:
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images: ${{ env.REGISTRY }}/${{ steps.image.outputs.name }}
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tags: |
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type=raw,value=latest,enable=${{ github.ref == 'refs/heads/main' }}
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type=raw,value=stable,enable=${{ github.ref == 'refs/heads/stable' }}
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type=ref,event=tag
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type=sha,format=short
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type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') || github.ref == 'refs/heads/main' || github.ref == 'refs/heads/stable' }}
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- name: Build and push Docker image
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uses: docker/build-push-action@v6
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with:
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context: .
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platforms: linux/amd64,linux/arm64
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target: bolt-ai-production
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push: true
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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- name: Check manifest
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run: docker buildx imagetools inspect ${{ env.REGISTRY }}/${{ steps.image.outputs.name }}:${{ steps.meta.outputs.version }} |