Nasqueron Datasources: Difference between revisions
Line 9: | Line 9: | ||
During that operation, it can generate [https://www.wikidata.org/wiki/User:Dereckson/FANTOIR_maintenance_report a maintenance report]. | During that operation, it can generate [https://www.wikidata.org/wiki/User:Dereckson/FANTOIR_maintenance_report a maintenance report]. | ||
See [[fantoir-datasource]] for how to use instructions. | |||
=== Helper components === | === Helper components === |
Revision as of 06:00, 15 January 2023
'Nasqueron Datasources is a collection of tools and libraries, mostly written in Rust, to fetch and enrich data.
Datasources
Datasources components
FANTOIR (fantoir-datasource)
fantoir-datasource
is a CLI tool to import the FANTOIR database into PostgreSQL. It's built with pipeline as a code in mind, so we can run it when a new FANTOIR version is released.
It also can enrich data from Wikidata, to qualify ways and offer rich typography labels. During that operation, it can generate a maintenance report.
See fantoir-datasource for how to use instructions.
Helper components
The datasources repository contains the following libraries:
- The opendatasoft-explore-api crate allows to query the Opendatasoft Explore API from Rust code. This API software is for example used for data.economie.gouv.fr for open data.
A SPARQL client can also be extracted from fantoir-datasource to be published as a standalone library (and so be used in outside projects).
Dependencies
The following relations exist in our components:
- fantoir-datasource uses opendatasoft-explore-api to check if a new version is available and get the URL
Contribute
The Nasqueron Databases project on DevCentral is used for any issue, code idea, bug or task.
Repository to clone: datasources
Contact: Dereckson is willing to help you if you need to discuss this project.
Licences
Source code is released under BSD-2-Clause license.
The datasets we provide tooling for and consume are and must be licensed under free culture licences, tailored for sui generis database rights:
The datasets we produce are licensed under: