#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

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

MIT license

12KB
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fastobo Star me

Faultless AST for Open Biomedical Ontologies.

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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