mirror of
https://github.com/headroomlabs-ai/headroom.git
synced 2026-08-27 14:17:10 -04:00
The action was set to @stable, which installs whatever the latest stable is (1.95.0 right now). Then maturin invokes cargo, which reads rust-toolchain.toml and re-resolves to "1.95.0 + clippy + rustfmt". rustup treats stable and 1.95.0 as distinct toolchain identities and refuses the second install with: failed to install component 'clippy-preview-x86_64-unknown-linux-gnu', detected conflict: 'bin/cargo-clippy' This was intermittent across the matrix (only test (3.10) tripped on the most recent run; others got lucky on cache state). Pinning the action ref to 1.95.0 makes both sides ask for the exact same toolchain identity, so the second install is a no-op and the conflict can't fire. Bump procedure stays the same: when rust-toolchain.toml's channel changes, update these refs in lock-step. Plugin manifests auto-bumped 0.11.0 -> 0.13.2 by sync-plugin-versions hook (unrelated to the workflow fix).
92 lines
3.4 KiB
YAML
92 lines
3.4 KiB
YAML
name: Evaluation Suite
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on:
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schedule:
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- cron: '0 6 * * 1' # Weekly on Monday 6am UTC
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workflow_dispatch: # Manual trigger
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pull_request:
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paths:
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- 'headroom/transforms/**'
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- 'headroom/evals/**'
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- 'headroom/compress.py'
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jobs:
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# Fast smoke test on PRs touching compression code (~$0.05, ~2 min)
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smoke-test:
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if: github.event_name == 'pull_request'
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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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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- name: Install dependencies
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run: pip install -e ".[all]"
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# `compression_only.evaluate_ccr_lossless` constructs a SmartCrusher
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# which now hard-imports `headroom._core` (Stage 3c.1b). Build the
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# Rust extension before running the smoke test or every call raises
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# `ModuleNotFoundError`. Mirrors the main CI `test` job pattern.
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- name: Install Rust toolchain
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uses: dtolnay/rust-toolchain@1.95.0
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- name: Cache cargo registry + build
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uses: Swatinem/rust-cache@v2
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with:
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workspaces: ". -> target"
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- name: Install maturin
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run: pip install 'maturin>=1.5,<2.0'
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- name: Build Rust extension (headroom._core)
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run: |
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set -euo pipefail
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maturin build --release -m crates/headroom-py/Cargo.toml --out dist
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pip install --force-reinstall --no-deps dist/headroom_core_py-*.whl
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SITE_PACKAGES=$(python -c "import site; print(site.getsitepackages()[0])")
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SO_FILE=$(find "$SITE_PACKAGES/headroom" -maxdepth 1 -name "_core.cpython-*.so" -print -quit 2>/dev/null)
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if [[ -z "$SO_FILE" ]]; then
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echo "error: could not find _core.cpython-*.so under $SITE_PACKAGES/headroom/" >&2
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exit 1
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fi
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ln -sf "$SO_FILE" "headroom/$(basename "$SO_FILE")"
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python -c "from headroom._core import SmartCrusher; print('headroom._core OK:', SmartCrusher)"
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- name: Run CCR round-trip (zero cost)
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run: |
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python -c "
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from headroom.evals.runners.compression_only import CompressionOnlyRunner
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runner = CompressionOnlyRunner()
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cases = runner.generate_ccr_test_cases(n=50)
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result = runner.evaluate_ccr_lossless(cases)
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print(f'CCR Round-trip: {result.passed_cases}/{result.total_cases} passed')
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assert result.passed, f'CCR failures: {result.errors}'
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"
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- name: Run built-in tool output eval
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run: python -m headroom.evals quick -n 8 --provider openai --model gpt-4o-mini
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env:
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OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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# Full Tier 1 suite, weekly or manual (~$3-5, ~30-45 min)
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weekly-suite:
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if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
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runs-on: ubuntu-latest
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timeout-minutes: 60
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steps:
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- uses: actions/checkout@v4
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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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- name: Install dependencies
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run: pip install -e ".[all]"
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- name: Run Tier 1 evaluation suite
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run: python -m headroom.evals suite --tier 1 --ci -o eval_results/
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env:
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OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
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- name: Upload results
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: eval-results-${{ github.run_number }}
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path: eval_results/
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