#obo #ontology #derive #proc-macro

macro fastobo-derive-internal

Internal derive macros for the fastobo crate

34 releases

0.15.2 May 3, 2023
0.15.1 Dec 5, 2022
0.15.0 Feb 15, 2022
0.13.1 Mar 30, 2021
0.6.1 Jul 24, 2019

#7 in #obo

Download history 7/week @ 2024-07-22 287/week @ 2024-07-29 15/week @ 2024-08-05 15/week @ 2024-08-12 3/week @ 2024-08-19 1/week @ 2024-08-26 23/week @ 2024-09-09 5/week @ 2024-09-16 72/week @ 2024-09-23 10/week @ 2024-09-30 9/week @ 2024-10-07 8/week @ 2024-10-14 34/week @ 2024-10-28 42/week @ 2024-11-04

85 downloads per month
Used in 5 crates (via fastobo)

MIT license

12KB
250 lines

fastobo Star me

Faultless AST for Open Biomedical Ontologies.

Actions Codecov License Source Crate Documentation Changelog GitHub issues DOI

Overview

This library provides a mostly-complete implementation of the OBO flat file format 1.4.

  • Data structures - fastobo provides a complete owned AST for the OBO language, with constructors and covenience traits where applicable. There is a plan to provide borrowed data structures as well, to be able to build a view of an OBO document from borrowed data.
  • Parsing - The parser is implemented using pest, and is reexported from the fastobo-syntax crate. Most structures implement the FromPair trait which allows to build a data structure from a stream of pest tokens.
  • Errors - All functions in that crate that return a Result will always use the Error struct defined in the error module. Errors reported by pest are very meaningful, and can give the exact location of a syntax error encountered by the parser.
  • Semantics - This library exports specific methods that can be used to edit an OBO syntax tree with the semantics expected in the format guide: mapping identifiers to URLs, adding default namespaces, or expanding entity frames using treat-xrefs macros.

Warning: this project adheres to Semantic Versioning, but the API is likely to change a lot before the release of a stable 1.0.

Features

All the following features are enabled by default, but can be disabled and cherry-picked using the default-features = false option in the Cargo.toml manifest of your project:

  • memchr - Use the memchr library to improve parser speed when searching for a particular character in a buffer.
  • threading - Use a multi-threaded parser (additionally depending on crossbeam-channel), which can greatly improve the parser speed if parsing is CPU-bound.
  • smartstring - Use the smartstring library to reduce heap allocation for identifiers and string data.

Usage

Add fastobo to the [dependencies] sections of your Cargo.toml manifest:

[dependencies]
fastobo = "0.15.2"

The top-level fastobo module provides several functions to parse an OboDoc. Use fastobo::from_reader to load an OBO document from a BufRead implementor (use std::io::BufReader if needed):

extern crate fastobo;
extern crate ureq;

fn main() {
    let response = ureq::get("http://purl.obolibrary.org/obo/ms.obo").call();
    let mut reader = std::io::BufReader::new(response.unwrap().into_reader());

    match fastobo::from_reader(&mut reader) {
        Ok(doc) => println!("Number of MS entities: {}", doc.entities().len()),
        Err(e) => panic!("Could not parse the Mass-Spec Ontology: {}", e),
    }
}

See also

  • fastobo-syntax: Standalone pest parser for the OBO format version 1.4.
  • fastobo-graphs: Data model and serde implementation of the OBO graphs specification, with conversion traits from and to OBO.
  • fastobo-py: Idiomatic Python bindings to this crate.
  • fastobo-validator: Standalone CLI to validate OBO files against the specification.
  • horned-functional: Parser for OWL2 Functional Syntax (can be used to parse owl-axioms clauses).

Feedback

Found a bug ? Have an enhancement request ? Head over to the GitHub issue tracker of the project if you need to report or ask something. If you are filling in on a bug, please include as much information as you can about the issue, and try to recreate the same bug in a simple, easily reproducible situation.

About

This project was developed by Martin Larralde as part of a Master's Degree internship in the BBOP team of the Lawrence Berkeley National Laboratory, under the supervision of Chris Mungall. Cite this project as:

Larralde M. Developing Python and Rust libraries to improve the ontology ecosystem [version 1; not peer reviewed]. F1000Research 2019, 8(ISCB Comm J):1500 (poster) (https://doi.org/10.7490/f1000research.1117405.1)

Dependencies

~0.6–1MB
~23K SLoC