Strip ipa.kindred.internal CA trust steps. The public Gitea instance uses a publicly-trusted certificate. Trigger CI on both main and public branches.
186 lines
6.1 KiB
YAML
186 lines
6.1 KiB
YAML
name: CI
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on:
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push:
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branches: [main, public]
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pull_request:
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branches: [main, public]
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workflow_dispatch:
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inputs:
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run_datagen:
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description: "Run dataset generation"
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required: false
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type: boolean
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default: false
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num_assemblies:
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description: "Number of assemblies to generate"
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required: false
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type: string
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default: "100000"
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num_workers:
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description: "Parallel workers for datagen"
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required: false
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type: string
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default: "4"
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env:
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PIP_CACHE_DIR: /tmp/pip-cache-solver
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TORCH_INDEX: https://download.pytorch.org/whl/cpu
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VIRTUAL_ENV: /tmp/solver-venv
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jobs:
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# ---------------------------------------------------------------------------
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# Lint — fast, no torch required
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# ---------------------------------------------------------------------------
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lint:
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runs-on: ubuntu-latest
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env:
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PATH: /tmp/solver-venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
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steps:
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- name: Checkout
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uses: https://github.com/actions/checkout@v4
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- name: Set up venv
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run: python3 -m venv $VIRTUAL_ENV
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- name: Install lint tools
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run: pip install --cache-dir $PIP_CACHE_DIR ruff
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- name: Ruff check
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run: ruff check solver/ freecad/ tests/ scripts/
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- name: Ruff format check
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run: ruff format --check solver/ freecad/ tests/ scripts/
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# ---------------------------------------------------------------------------
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# Type check
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# ---------------------------------------------------------------------------
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type-check:
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runs-on: ubuntu-latest
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env:
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PATH: /tmp/solver-venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
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steps:
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- name: Checkout
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uses: https://github.com/actions/checkout@v4
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- name: Set up venv
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run: python3 -m venv $VIRTUAL_ENV
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- name: Install dependencies
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run: |
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pip install --cache-dir $PIP_CACHE_DIR \
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mypy numpy scipy \
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torch --index-url $TORCH_INDEX
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pip install --cache-dir $PIP_CACHE_DIR torch-geometric
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pip install --cache-dir $PIP_CACHE_DIR -e ".[dev]"
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- name: Mypy
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run: mypy solver/ freecad/
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# ---------------------------------------------------------------------------
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# Tests
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# ---------------------------------------------------------------------------
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test:
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runs-on: ubuntu-latest
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env:
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PATH: /tmp/solver-venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
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steps:
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- name: Checkout
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uses: https://github.com/actions/checkout@v4
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- name: Set up venv
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run: python3 -m venv $VIRTUAL_ENV
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- name: Install dependencies
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run: |
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pip install --cache-dir $PIP_CACHE_DIR \
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torch --index-url $TORCH_INDEX
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pip install --cache-dir $PIP_CACHE_DIR torch-geometric
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pip install --cache-dir $PIP_CACHE_DIR -e ".[train,dev]"
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- name: Run tests
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run: pytest tests/ freecad/tests/ -v --tb=short
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# ---------------------------------------------------------------------------
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# Dataset generation — manual trigger or on main/public push
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# ---------------------------------------------------------------------------
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datagen:
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runs-on: ubuntu-latest
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if: >-
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(github.event_name == 'workflow_dispatch' && inputs.run_datagen == true) ||
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(github.event_name == 'push' && (github.ref == 'refs/heads/main' || github.ref == 'refs/heads/public'))
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needs: [test]
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env:
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PATH: /tmp/solver-venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
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steps:
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- name: Checkout
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uses: https://github.com/actions/checkout@v4
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- name: Set up venv
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run: python3 -m venv $VIRTUAL_ENV
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- name: Install dependencies
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run: |
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pip install --cache-dir $PIP_CACHE_DIR \
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torch --index-url $TORCH_INDEX
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pip install --cache-dir $PIP_CACHE_DIR torch-geometric
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pip install --cache-dir $PIP_CACHE_DIR -e ".[train]"
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- name: Restore datagen checkpoint
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id: datagen-cache
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uses: https://github.com/actions/cache/restore@v4
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with:
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path: data/synthetic
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key: datagen-${{ github.sha }}
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restore-keys: |
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datagen-
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- name: Generate dataset
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run: |
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NUM=${INPUTS_NUM_ASSEMBLIES:-100000}
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WORKERS=${INPUTS_NUM_WORKERS:-4}
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echo "Generating ${NUM} assemblies with ${WORKERS} workers"
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python3 scripts/generate_synthetic.py \
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--num-assemblies "${NUM}" \
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--num-workers "${WORKERS}" \
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--output-dir data/synthetic
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env:
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INPUTS_NUM_ASSEMBLIES: ${{ inputs.num_assemblies }}
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INPUTS_NUM_WORKERS: ${{ inputs.num_workers }}
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- name: Save datagen checkpoint
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if: always()
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uses: https://github.com/actions/cache/save@v4
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with:
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path: data/synthetic
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key: datagen-${{ github.sha }}
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- name: Upload dataset
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uses: https://github.com/actions/upload-artifact@v3
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with:
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name: synthetic-dataset
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path: |
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data/synthetic/index.json
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data/synthetic/stats.json
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data/synthetic/shards/
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retention-days: 90
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- name: Print summary
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if: always()
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run: |
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echo "=== Dataset Generation Results ==="
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if [ -f data/synthetic/stats.json ]; then
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python3 -c "
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import json
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with open('data/synthetic/stats.json') as f:
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s = json.load(f)
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print(f'Total examples: {s[\"total_examples\"]}')
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print(f'Classification: {json.dumps(s[\"classification_distribution\"], indent=2)}')
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print(f'Rigid: {s[\"rigidity\"][\"rigid_fraction\"]*100:.1f}%')
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print(f'Degeneracy: {s[\"geometric_degeneracy\"][\"fraction_with_degeneracy\"]*100:.1f}%')
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"
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else
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echo "stats.json not found — generation may have failed"
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ls -la data/synthetic/ 2>/dev/null || echo "output dir missing"
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fi
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