feat: update API specifications from internal repo (#121) #35
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| name: Update OpenAI Vector Store | |
| on: | |
| push: | |
| branches: [main] | |
| paths: | |
| - "openapi.yml" | |
| # - "asyncapi.yml" | |
| workflow_dispatch: | |
| inputs: | |
| force_update: | |
| description: "Force update all files regardless of changes" | |
| required: false | |
| default: false | |
| type: boolean | |
| jobs: | |
| update-vector-store: | |
| runs-on: ubuntu-latest | |
| env: | |
| AWS_ACCESS_KEY_ID: ${{ secrets.TIGRIS_ACCESS_KEY_ID }} | |
| AWS_ENDPOINT_URL: ${{ secrets.TIGRIS_ENDPOINT_URL }} | |
| AWS_REGION: ${{ secrets.TIGRIS_REGION }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.TIGRIS_SECRET_ACCESS_KEY }} | |
| BUCKET_NAME: ${{ secrets.TIGRIS_BUCKET_NAME }} | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v4 | |
| with: | |
| fetch-depth: 0 | |
| token: ${{ secrets.GITHUB_TOKEN }} | |
| - name: Setup Node.js | |
| uses: actions/setup-node@v4 | |
| with: | |
| node-version: "22" | |
| - name: Install AWS CLI v2 | |
| run: | | |
| curl -sL "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" | |
| unzip -q awscliv2.zip | |
| sudo ./aws/install --update | |
| rm -rf awscliv2.zip aws/ | |
| aws --version | |
| - name: Create .deepgram directory | |
| run: mkdir -p .deepgram/metadata | |
| - name: Download previous vectorstore metadata from S3 | |
| continue-on-error: true | |
| run: | | |
| echo "Downloading metadata from S3 path: s3://${{ env.BUCKET_NAME }}/${{ github.repository }}/.deepgram/metadata/vectorstore_metadata.json" | |
| aws s3 cp \ | |
| --endpoint-url "${{ env.AWS_ENDPOINT_URL }}" \ | |
| "s3://${{ env.BUCKET_NAME }}/${{ github.repository }}/.deepgram/metadata/vectorstore_metadata.json" \ | |
| ./.deepgram/metadata/vectorstore_metadata.json \ | |
| --quiet || true | |
| - name: Verify metadata download | |
| run: | | |
| if [ -f .deepgram/metadata/vectorstore_metadata.json ]; then | |
| echo "✅ Successfully downloaded metadata from S3 for repository: ${{ github.repository }}" | |
| echo "File contents preview:" | |
| head -20 .deepgram/metadata/vectorstore_metadata.json || true | |
| else | |
| echo "⚠️ No existing metadata found in S3 for repository: ${{ github.repository }} - will start fresh" | |
| fi | |
| - name: Create output directories | |
| run: mkdir -p tmp/openapi tmp/asyncapi | |
| - name: Generate OpenAPI documentation with Deepgram CLI | |
| run: | | |
| npx -y @deepgram/deepdown-cli@latest build openapi.yml \ | |
| .deepgram/openapi.deepdown -o tmp/openapi/ --resolve-refs --resolve-security | |
| # - name: Generate AsyncAPI documentation with Deepgram CLI | |
| # run: | | |
| # npx -y @deepgram/deepdown-cli@latest build asyncapi.yml \ | |
| # .deepgram/asyncapi.deepdown -o tmp/asyncapi/ --resolve-refs --resolve-security | |
| - name: Make vectorize script executable | |
| run: chmod +x .deepgram/vectorize | |
| - name: Upload all files to Vector Store | |
| run: | | |
| node .deepgram/vectorize tmp/ | |
| env: | |
| CI: true | |
| OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY_VECTOR_MGMT }} | |
| - name: Upload vectorize metadata to S3 | |
| if: always() && hashFiles('.deepgram/metadata/vectorstore_metadata.json') != '' | |
| run: | | |
| echo "Uploading metadata to S3 path: s3://${{ env.BUCKET_NAME }}/${{ github.repository }}/.deepgram/metadata/vectorstore_metadata.json" | |
| aws s3 cp \ | |
| --endpoint-url "${{ env.AWS_ENDPOINT_URL }}" \ | |
| ./.deepgram/metadata/vectorstore_metadata.json \ | |
| "s3://${{ env.BUCKET_NAME }}/${{ github.repository }}/.deepgram/metadata/vectorstore_metadata.json" \ | |
| --quiet |