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a3fe5cb65b
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fix(onnx): enforce Rust API-24 runtime compatibility (#2979)
## Description Rust fastembed enables ORT C API 24, but the Python dependency allowed ONNX Runtime 1.23.2. Entering ort's initializer with that library deadlocks permanently instead of returning an error. Align dependency resolution where compatible wheels exist and preflight native detection where they do not. Closes #2960 ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - Require ONNX Runtime 1.24+ for Python 3.11+ in the proxy and voice extras. - Keep the available pre-1.24 runtime on Python 3.10 for Python ONNX consumers. - Refuse to auto-pin an incompatible runtime into the Rust extension. - Bypass native detection immediately when API 24 is unavailable, preserving Python fallback without a five-second watchdog delay or stuck native thread. - Add dependency, pinning, override, and router regression coverage. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [ ] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ uv run pytest -q tests/test_transforms/test_ort_dylib.py tests/test_onnx_dependency_contract.py tests/test_onnx_runtime.py tests/test_transforms/test_content_router.py 88 passed in 9.31s $ uv run ruff check headroom/_ort.py headroom/transforms/content_router.py tests/test_transforms/test_ort_dylib.py tests/test_onnx_dependency_contract.py All checks passed! ``` ## Real Behavior Proof - Environment: macOS arm64; Python 3.13.14 and uv-managed Python 3.10.20. - Exact command / steps: run the issue's direct `headroom._core.detect_content_type` call in a subprocess with a 12-second timeout on Python 3.13; run `_detect_content` on Python 3.10 after resolving the proxy extra. - Observed result: Python 3.13 resolves ORT 1.26.0 and native detection returns `json_array`; Python 3.10 resolves ORT 1.23.2, leaves `ORT_DYLIB_PATH` unset, reports compatibility false, and immediately returns the Python `json_array` fallback. - Not tested: Linux-specific shared-object execution locally; CI's existing Linux Rust job already preflights ORT 1.24+ and exercises native tests. ## Runtime Rollout Safety - Rollout-managed feature(s): Native Rust content detection. - Minimum rollout channel: Stable/default; this is a deadlock prevention guard. - Stable/default behavior changed: Python 3.11+ installs a compatible ORT; Python 3.10 skips incompatible native detection. - Kill switch / disable path: `HEADROOM_DETECT_BACKEND=python` remains available; an explicit `ORT_DYLIB_PATH` remains an operator override. - Unsafe override required: No. - Qualification impact: Native detection stays enabled only with API-24-compatible ORT. - Rollback path: Revert this PR, which restores the old watchdog-only degradation. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] I did **not** edit `CHANGELOG.md` — it is generated by release-please from my Conventional Commit PR title (a CI guard enforces this) ## Screenshots (if applicable) Not applicable. ## Additional Notes The large lockfile diff is dependency resolution: Python 3.10 keeps ORT 1.23.2 while 3.11+ resolves 1.26.0. The functional Python change is intentionally small and keeps explicit `ORT_DYLIB_PATH` overrides working. |
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c46cd8f950
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fix(core): load ONNX Runtime dynamically so headroom._core imports on non-AVX2 x86-64 (#1715)
## Description
`import headroom._core` dies with SIGILL (`Illegal instruction`) on
x86-64 CPUs without AVX2 (Pentium N4200, Celeron N4500, AMD FX 8350 —
all reported on the issue). The repo sets no `RUSTFLAGS`/`target-cpu`
anywhere, so first-party Rust code is baseline x86-64; the AVX2 code
comes from Microsoft's prebuilt ONNX Runtime, statically linked into the
extension by fastembed's `ort-download-binaries-rustls-tls` feature on
non-Windows targets. Because it is statically linked, its code is mapped
and initialized when the extension module loads — **before** the runtime
AVX2 guard from #1162 can run, which is why that fix helped Magika init
but not the import-time crash.
Fix, mirroring what Windows already does for its own reasons (DirectML
link libs): build with `ort-load-dynamic` on every platform, so ONNX
Runtime is only `dlopen`'d at first use, where the #1162 AVX2 guard
falls back to the non-ONNX detection tiers on unsupported CPUs. Since
both target blocks became identical, they are collapsed into one
platform-independent `fastembed` dependency.
To keep Magika/fastembed working out of the box on Linux/macOS, the
existing `ORT_DYLIB_PATH` auto-pin (`headroom/_ort.py`, previously
Windows-only) now resolves the pip `onnxruntime` package's shared
library on all platforms (`onnxruntime.dll` / `libonnxruntime.so*` /
`libonnxruntime*.dylib`). The pip `onnxruntime` CPU wheels use runtime
CPU dispatch, so they also work on pre-AVX2 machines — non-AVX2 users
get working ML detection instead of a crash. Without the `onnxruntime`
package, ML detection degrades gracefully to the non-ONNX tiers exactly
as it already does on Windows.
Fixes #1278
## Type of Change
- [x] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [x] Documentation update
- [ ] Performance improvement
- [ ] Code refactoring (no functional changes)
## Changes Made
- `crates/headroom-core/Cargo.toml`: replaced the per-target `fastembed`
blocks (`ort-download-binaries-rustls-tls` on non-Windows,
`ort-load-dynamic` on Windows) with a single platform-independent
dependency on `ort-load-dynamic`, with a comment documenting both the
DirectML and the AVX2/#1278 rationale.
- `Cargo.lock`: regenerated — `ort-sys` drops its static-download
dependencies (`hmac-sha256`, `lzma-rust2`, `ureq`); no version bumps.
- `headroom/_ort.py`: `ORT_DYLIB_PATH` auto-pin extended from
Windows-only to all platforms via a small `_find_dylib` helper that
resolves the platform's shared-library name inside the pip `onnxruntime`
package.
- `tests/test_transforms/test_ort_dylib.py`: replaced the obsolete
`test_noop_on_non_windows` with Linux (versioned `.so`) and macOS
(`.dylib`) pin tests; module docstring updated.
- `docs/content/docs/configuration.mdx`: `ORT_DYLIB_PATH` row updated
from Windows-only wording to the cross-platform behavior.
## Testing
- [x] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check .`)
- [x] Type checking passes (`mypy headroom`)
- [x] New tests added for new functionality
- [x] Manual testing performed
### Test Output
```text
$ cargo fmt --all -- --check && cargo clippy --workspace -- -D warnings && cargo test -p headroom-core --lib
clean
test result: 844 passed; 0 failed; 1 ignored
$ python -m pytest tests/test_transforms/test_ort_dylib.py -q
8 passed
$ ruff check headroom/_ort.py tests/test_transforms/test_ort_dylib.py
All checks passed!
```
## Real Behavior Proof
- Environment: Windows 11 (AVX2-capable — the SIGILL itself is not
reproducible on this machine), Python 3.13, Rust 1.95.0, local checkout
branched from `upstream/main` (
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32ce99e4b4
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fix(build): enable Intel macOS pip installs via ort-load-dynamic (#1538)
## Description
Fix `pip install headroom-ai` on Intel Mac (`x86_64-apple-darwin`).
Source installs failed because `ort-sys 2.0.0-rc.12` (transitive via
`fastembed`) does not ship prebuilt ONNX Runtime binaries for that
target, causing maturin/cargo to exit during the wheel build.
This PR mirrors the existing Windows fix: build the Rust core with
`ort-load-dynamic`, pin `ORT_DYLIB_PATH` to the pip `onnxruntime` native
library at import time, and publish Intel macOS wheels from CI.
Closes #
## Type of Change
- [x] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [x] Documentation update
- [ ] Performance improvement
- [ ] Code refactoring (no functional changes)
## Changes Made
- `crates/headroom-core/Cargo.toml`: use `ort-load-dynamic` for
`x86_64-apple-darwin` instead of `ort-download-binaries-rustls-tls`.
- `headroom/_ort.py`: extend the ORT dylib pin hook to Intel macOS
(`darwin` + `x86_64`), resolving `libonnxruntime*.dylib` from the pip
`onnxruntime` package.
- `.github/workflows/release.yml` and `.github/workflows/rust.yml`: add
`macos-15-intel` / `x86_64-apple-darwin` wheel matrix entries.
- `tests/test_release_workflows.py` and
`tests/test_transforms/test_ort_dylib.py`: update/add coverage for the
new target and dylib pin behavior.
- `README.md`: note that prebuilt wheels are published for Intel macOS.
## Testing
- [x] Unit tests pass (`pytest`)
- [ ] Linting passes (`ruff check .`)
- [ ] Type checking passes (`mypy headroom`)
- [x] New tests added for new functionality
- [x] Manual testing performed
### Test Output
```text
$ pytest tests/test_transforms/test_ort_dylib.py \
tests/test_release_workflows.py::test_fastembed_uses_dynamic_ort_on_windows \
tests/test_release_workflows.py::test_build_wheels_matrix_includes_intel_macos_with_dynamic_ort -q
.......................... [100%]
10 passed in 0.18s
$ maturin build --release -o /tmp/headroom-dist
📦 Built wheel for abi3 Python ≥ 3.10 to /tmp/headroom-dist/headroom_ai-0.27.0-cp310-abi3-macosx_10_12_x86_64.whl
$ python3.11 -m venv /tmp/hr-venv && /tmp/hr-venv/bin/pip install .
Successfully built headroom-ai
Successfully installed headroom-ai-0.27.0
$ cd /tmp && /tmp/hr-venv/bin/python -c "import headroom; import headroom._core; print('ok')"
version 0.27.0
_core ok
```
## Real Behavior Proof
- Environment: macOS `x86_64-apple-darwin`, Python 3.11.5, Rust 1.95.0
- Exact command / steps: Reproduced the reported failure with `pip
install headroom-ai` (sdist build dies in `ort-sys` for
`x86_64-apple-darwin`); after this patch ran `maturin build --release`,
then `pip install .` in a clean venv, then `python -c "import
headroom._core"`.
- Observed result: Before fix, cargo/maturin exit 101 on missing ORT
prebuilts; after fix, wheel build succeeds and `headroom._core` imports
cleanly (`version 0.27.0`, `_core ok`).
- Not tested: `macos-15-intel` GitHub Actions wheel matrix row (will be
validated by CI after merge).
## Review Readiness
- [x] I have performed a self-review
- [x] This PR is ready for human review
## Checklist
- [x] My code follows the project's style guidelines
- [x] I have performed a self-review of my code
- [x] I have commented my code, particularly in hard-to-understand areas
- [x] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [ ] I have updated the CHANGELOG.md if applicable
## Additional Notes
- ML features (magika detection, fastembed embeddings) still require
`onnxruntime` at runtime on Intel Mac. Users should install
`headroom-ai[proxy]` or `pip install onnxruntime`; `_ort.py` auto-pins
`ORT_DYLIB_PATH` when that package is present.
- Apple Silicon (`aarch64-apple-darwin`) behavior is unchanged: it
continues to bundle ORT via `ort-download-binaries-rustls-tls`.
- Lint/mypy not re-run locally in this pass; targeted pytest +
maturin/pip install proof covers the changed surface.
---------
Co-authored-by: Bor <you@example.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
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3ccdad6c67
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Pin ORT dylib on Windows; init Python logging (#1010)
## Description On Windows, headroom's Rust core resolves `onnxruntime.dll` at runtime via `ort-load-dynamic`. Without an explicit `ORT_DYLIB_PATH`, the bare DLL search can land on `C:\Windows\System32\onnxruntime.dll`, the Windows ML OS component, and `Session::new()` can deadlock instead of returning an error. Since a hang is not an `Err`, the tiered fallback cannot engage until the proxy-level timeout fires. This PR pins `ORT_DYLIB_PATH` to the pip-installed `onnxruntime` DLL at import time, and wires Rust `tracing` events into Python logging so the proxy log surfaces these failures when they occur. Closes #928 ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [x] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - Added `headroom/_ort.py` with a Windows-only, idempotent `ensure_ort_dylib_pinned()` resolver that respects an existing `ORT_DYLIB_PATH`. - Call the pin from `headroom/__init__.py` before importing `_core` consumers. - Log the effective ORT dylib path from the content router startup path on Windows. - Enable Rust tracing-to-log compatibility and initialize `pyo3-log` in the `_core` module. - Add timeout diagnostics in the Magika detector with the effective `ORT_DYLIB_PATH`. - Document `ORT_DYLIB_PATH` and `HEADROOM_MAGIKA_INIT_TIMEOUT_SECS`. - Add unit coverage for the resolver behavior. ## Testing - [x] Unit tests pass (`python -m pytest tests/test_transforms/test_ort_dylib.py -q`) - [x] Linting passes (`ruff check headroom/_ort.py headroom/__init__.py headroom/transforms/content_router.py tests/test_transforms/test_ort_dylib.py`) - [x] Formatting passes (`ruff format --check headroom/_ort.py headroom/__init__.py headroom/transforms/content_router.py tests/test_transforms/test_ort_dylib.py`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ python -m pytest tests/test_transforms/test_ort_dylib.py -q 7 passed in 0.19s $ ruff check headroom/_ort.py headroom/__init__.py headroom/transforms/content_router.py tests/test_transforms/test_ort_dylib.py All checks passed! $ ruff format --check headroom/_ort.py headroom/__init__.py headroom/transforms/content_router.py tests/test_transforms/test_ort_dylib.py 4 files already formatted $ cargo check -p headroom-py cargo: The term 'cargo' is not recognized as a name of a cmdlet, function, script file, or executable program. ``` ## Real Behavior Proof - Environment: Windows 11 24H2, Python 3.13, RTX 4080 - Exact command / steps: `python -c "import headroom; from headroom._core import detect_content_type as d; print(d(open('headroom/compress.py').read()).content_type)"` - Observed result: `source_code` in 301ms, clean exit, `Magika: ENABLED` in proxy log - Not tested: macOS/Linux manual runtime behavior; `_ort.py` is a no-op outside Windows, and CI covers cross-platform build/test behavior. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [ ] I have updated the CHANGELOG.md if applicable (N/A: repo uses release-please) ## Additional Notes The branch was rebased onto current `main` and the commit subject was updated to satisfy commitlint. Local Rust verification could not be run on this Windows machine because `cargo` is not installed; GitHub CI should be treated as the Rust build verification for the `pyo3-log` dependency and workspace lockfile changes. --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |