Quick start#
RAMOSE turns SPARQL endpoints into documented REST APIs. You write a spec file describing your queries, and RAMOSE handles routing, type casting, filtering, and documentation generation.
Install#
pip install ramose
Requires Python 3.10 or later.
To use the SPARQL Anything engine, install the optional extra:
pip install ramose[sparql-anything]
Create a spec file#
Save this as meta_v1.hf. RAMOSE also accepts the same spec as .yaml or .yml; see the spec reference for the
YAML mirror syntax.
#url /v1
#type api
#base https://api.opencitations.net/meta
#title OpenCitations Meta REST API
#description REST API for bibliographic metadata from OpenCitations Meta
#version 1.0.0
#license ISC
#contacts [contact@opencitations.net](mailto:contact@opencitations.net)
#endpoint https://opencitations.net/meta/sparql
#method post
#url /metadata/{doi}
#type operation
#doi str(10\..+)
#method get
#description Returns bibliographic metadata for the given DOI.
#call /metadata/10.1162/qss_a_00292
#field_type str(title) datetime(pub_date) str(venue) str(type)
#sparql PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX datacite: <http://purl.org/spar/datacite/>
PREFIX dcterm: <http://purl.org/dc/terms/>
PREFIX fabio: <http://purl.org/spar/fabio/>
PREFIX frbr: <http://purl.org/vocab/frbr/core#>
PREFIX literal: <http://www.essepuntato.it/2010/06/literalreification/>
PREFIX prism: <http://prismstandard.org/namespaces/basic/2.0/>
SELECT ?title ?pub_date ?venue ?type WHERE {
?identifier literal:hasLiteralValue "[[doi]]"^^xsd:string ;
datacite:usesIdentifierScheme datacite:doi ;
^datacite:hasIdentifier ?res .
OPTIONAL { ?res dcterm:title ?title }
OPTIONAL { ?res prism:publicationDate ?pub_date }
OPTIONAL {
?res frbr:partOf+ ?journal .
?journal a fabio:Journal ; dcterm:title ?venue
}
OPTIONAL { ?res a ?type . FILTER(?type != fabio:Expression) }
}
The first section declares the API (endpoint, metadata). The second defines an operation: a URL pattern with a {doi} parameter, mapped to a SPARQL query where [[doi]] gets replaced at runtime.
Run locally#
python -m ramose -s meta_v1.hf -c '/v1/metadata/10.1162/qss_a_00292'
Output:
# Response HTTP code: 200
# Body:
[{"title": "OpenCitations Meta", "pub_date": "2024", "venue": "Quantitative Science Studies", "type": "journal article"}]
# Content-type: application/json
Start the web server#
python -m ramose -s meta_v1.hf -w 127.0.0.1:8080
Open http://localhost:8080/v1 for auto-generated documentation, or query http://localhost:8080/v1/metadata/10.1162/qss_a_00292 directly.
What’s next#
Spec file format for HF and YAML source files
CLI for all command-line options
Python API for programmatic usage
Query parameters for filtering and sorting results