From 5be230f25ac6b65d5389a401c39ce84fa8f0dfe7 Mon Sep 17 00:00:00 2001 From: Lukas Plank Date: Thu, 25 Jul 2024 10:00:21 +0200 Subject: [PATCH] docs: Add basic README closes #5 --- README.md | 60 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 60 insertions(+) diff --git a/README.md b/README.md index e69de29..d5cd29d 100644 --- a/README.md +++ b/README.md @@ -0,0 +1,60 @@ +# RDFProxy + +[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) +[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff) + +A collection of Python utilities for connecting an RDF store to FastAPI. + + +## SPARQLModelAdapter + +The `rdfproxy.SPARQLModelAdapter` class allows to run a query against an endpoint and map a flat SPARQL query result set to a potentially nested Pydantic model. + +E.g. the result set of the following query +```sparql +select ?x ?y ?a ?p +where { + values (?x ?y ?a ?p) { + (1 2 "a value" "p value") + } +} +``` +can be run against an endpoint and mapped to a nested Pydantic model like so: + +```python +from SPARQLWrapper import SPARQLWrapper +from pydantic import BaseModel +from rdfproxy import SPARQLModelAdapter, _TModelInstance + +class SimpleModel(BaseModel): + x: int + y: int + +class NestedModel(BaseModel): + a: str + b: SimpleModel + +class ComplexModel(BaseModel): + p: str + q: NestedModel + + +sparql_wrapper = SPARQLWrapper("https://query.wikidata.org/bigdata/namespace/wdq/sparql") + +query = """ +select ?x ?y ?a ?p +where { + values (?x ?y ?a ?p) { + (1 2 "a value" "p value") + } +} +""" + +adapter = SPARQLModelAdapter(sparql_wrapper=sparql_wrapper) +models: list[_TModelInstance] = adapter(query=query, model_constructor=ComplexModel) +``` + +This produces an Iterable of Pydantic model instances (in the above case: `[ComplexModel(p='p value', q=NestedModel(a='a value', b=SimpleModel(x=1, y=2)))]`) which can then be served via FastAPI. + +The `model_constructor` parameter takes either a Pydantic model directly or a model_constructor callable which receives the raw `SPARQLWrapper.QueryResult` object and is responsible for returning an Iterable of model instances. +