alphadia-search-rs

High-performance alphaDIA backend.

Notes for users

This repository contains the high-performance backend for alphaDIA. This code should to used as part of alphaDIA.

Controlling Thread Count

Control the number of threads used for parallel operations:

Option 1: Direct call (must be first call after import)

import alphadia_search_rs
alphadia_search_rs.set_num_threads(4)

Option 2: Environment variable (recommended)

ℹ️ Note: The environment variable RAYON_NUM_THREADS must be set before starting Python, or at least before importing alphadia_search_rs. Setting it at runtime will not affect the thread pool.

export RAYON_NUM_THREADS=4
python your_script.py

Development Setup

📌 Versioning Policy

This repository strictly follows Semantic Versioning 2.0.0. Given a version number MAJOR.MINOR.PATCH:

MAJOR version for incompatible API changes
MINOR version for backwards-compatible functionality additions
PATCH version for backwards-compatible bug fixes

Prerequisites

Rust 1.88.0
Python 3.11+

Quick Start

Clone and enter the repository:

git clone <repository-url>
cd alphadia-search-rs

Set up pre-commit hooks (recommended):

# Install pre-commit
pip install pre-commit
# or: conda install -c conda-forge pre-commit
# or: brew install pre-commit

# Install the git hook scripts
pre-commit install

Install Python dependencies:

conda activate alphadia-search-rs  # or create environment if it doesn't exist
pip install maturin

Build the Rust extension:
```
maturin develop --release
```

Omit the --release extension for a developer build.

Run tests:

cargo test                    # Rust tests
python ./scripts/test_search.py  # Python integration test

Testing

Integration Test

The scripts/test_search.py script provides a comprehensive integration test.

# Run the integration test
python ./scripts/test_search.py --path ./test_data

The script will automatically:

Use existing test data in ./test_data if available (using a temporary directory if --path not specified).
Otherwise download required files:
- spectrum_df.parquet - Mass spectrometry spectra data
- peak_df.parquet - Peak detection results
- precursor_df.parquet - Precursor ion information
- fragment_df.parquet - Fragment ion data

Expected output:

Processing speed: ~200k+ precursors per second
Results: ~11M candidates found

Scripts

The scripts/ directory contains analysis pipelines for processing DIA-MS data:

Key Scripts

Candidate Selection: Takes a calibrated speclib as an input and an AlphaRaw hdf. Performs candidate selection and saves the candidates.
```
python scripts/candidate_selection.py --ms_data_path data.hdf --spec_lib_path lib.hdf --output_folder ./output
```
Candidate Scoring: Performs scoring following selection. Takes input from previous step and save precursor at 1% FDR.
```
python scripts/candidate_scoring.py --ms_data_path data.hdf --spec_lib_path lib.hdf --candidates_path candidates.parquet --fdr --quantify
```
- option to perform quantification with --quantify
- option to perform FDR adn filter @1% with --fdr
- option to add diagnosis plot for all features with --diagnosis

CLI Benchmarking

Score Benchmark Tool

The score-benchmark CLI tool benchmarks multiple implementations of axis_log_dot_product to compare performance and verify numerical accuracy.

# Run the benchmark
cargo run --bin score-benchmark

Troubleshooting

Library Loading Error on macOS: If you encounter the error dyld[xxxxx]: Library not loaded: @rpath/libpython3.11.dylib when running cargo test, set the library path:

Mac:

export DYLD_LIBRARY_PATH=$(realpath $(which python)/../../lib)
cargo test

Linux:

export LD_LIBRARY_PATH=$CONDA_PREFIX/lib:$LD_LIBRARY_PATH
cargo test

Development Workflow

Code Quality Standards

This project enforces strict code quality standards via automated tooling:

Formatting: All code must be formatted with rustfmt
Linting: All code must pass clippy with no warnings
Consistency: Same toolchain used locally and in CI (Rust 1.88.0)

Pre-Commit Hooks

We use the pre-commit framework for automated code quality checks:

# Install pre-commit (one-time setup)
pip install pre-commit

# Install hooks (one-time setup)
pre-commit install

Manual Code Quality Checks

You can run the same checks manually:

# Format code
cargo fmt

# Check formatting (without modifying files)
cargo fmt --all -- --check

# Run linting
cargo clippy -- -D warnings

# Run all pre-commit hooks manually
pre-commit run --all-files

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This release

1.2.0

Aug 12, 2026

1.1.1

Dec 21, 2025

1.1.1.dev0 pre-release

Dec 21, 2025

1.1.0

Dec 9, 2025

1.0.0

Oct 30, 2025

0.2.0

Oct 2, 2025

alphadia-search-rs 1.2.0

alphadia-search-rs

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