2dc26a8c24
Bumps [specklesystems/speckle-automate-github-composite-action](https://github.com/specklesystems/speckle-automate-github-composite-action) from 0.9.0 to 0.9.2. - [Release notes](https://github.com/specklesystems/speckle-automate-github-composite-action/releases) - [Commits](https://github.com/specklesystems/speckle-automate-github-composite-action/compare/0.9.0...0.9.2) --- updated-dependencies: - dependency-name: specklesystems/speckle-automate-github-composite-action dependency-version: 0.9.2 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>
48 lines
1.7 KiB
YAML
48 lines
1.7 KiB
YAML
name: 'build and deploy Speckle functions'
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on:
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workflow_dispatch:
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push:
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tags:
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- '*'
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jobs:
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publish-automate-function-version: # make sure the action works on a clean machine without building
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env:
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FUNCTION_SCHEMA_FILE_NAME: functionSchema.json
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runs-on: ubuntu-latest
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steps:
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# Step 1: Checkout the repository
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- name: Checkout Repository
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uses: actions/checkout@v4.2.2
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# Step 2: Set up Python
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- name: Setup Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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# Step 3: Install dependencies using pip
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- name: Install Dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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# Step 4: Generate the schema
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- name: Extract functionInputSchema
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id: extract_schema
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run: |
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python main.py generate_schema "${HOME}/${{ env.FUNCTION_SCHEMA_FILE_NAME }}"
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echo "Checking if functionSchema.json exists after generation..."
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ls -lah "${HOME}/${{ env.FUNCTION_SCHEMA_FILE_NAME }}"
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# Step 5: Build and publish the Speckle function
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- name: Speckle Automate Function - Build and Publish
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uses: specklesystems/speckle-automate-github-composite-action@0.9.2
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with:
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speckle_automate_url: ${{ env.SPECKLE_AUTOMATE_URL || 'https://automate.speckle.dev' }}
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speckle_token: ${{ secrets.SPECKLE_FUNCTION_TOKEN }}
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speckle_function_id: ${{ secrets.SPECKLE_FUNCTION_ID }}
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speckle_function_input_schema_file_path: ${{ env.FUNCTION_SCHEMA_FILE_NAME }}
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speckle_function_command: 'python -u main.py run'
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speckle_function_recommended_memory_mi: 5000
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