"""RDF utilities This module is a collection of functions that handle SPARQL queries. """ from typing import Tuple from string import Template from urllib.parse import unquote from urllib.parse import urlparse from SPARQLWrapper import JSON, SPARQLWrapper from pymonad.maybe import Just, Nothing from gn3.monads import MonadicDict RDF_PREFIXES = """PREFIX dct: PREFIX foaf: PREFIX generif: PREFIX gn: PREFIX owl: PREFIX pubmed: PREFIX rdf: PREFIX rdfs: PREFIX taxon: PREFIX up: PREFIX xsd: """ def sparql_query( sparql_conn: SPARQLWrapper, query: str ) -> Tuple[MonadicDict, ...]: """Run a SPARQL query and return the bound variables.""" sparql_conn.setQuery(query) sparql_conn.setReturnFormat(JSON) results = sparql_conn.queryAndConvert() if _r := results["results"]["bindings"]: # type: ignore return (*(MonadicDict(bindings) for bindings in _r),) # type: ignore return (MonadicDict(),) def strip_url(string: str) -> str: """Get the last item after a '/" from a URL""" if string.startswith("http"): url = urlparse(string) return unquote(url.path).rpartition("/")[-1] return string def get_dataset_metadata( sparql_conn: SPARQLWrapper, name: str ) -> MonadicDict: """Return info about dataset with a given NAME""" __metadata_query = """ $prefix CONSTRUCT { gn:dataset ?datasetTerm ?datasetValue . gn:dataset ?platformName ?platform_name . gn:dataset gn:normalization ?normalization . gn:dataset gn:investigatorName ?investigatorName . gn:dataset gn:investigatorWebUrl ?investigatorWebUrl . gn:dataset gn:tissueName ?tissueName . } WHERE { ?subClass rdf:subClassOf gn:dataset . ?dataset rdf:type ?subclass ; gn:name "$name"; ?datasetTerm ?datasetValue . OPTIONAL { ?dataset gn:datasetOfInvestigator ?investigator . ?investigator foaf:name ?investigatorName . ?investigator foaf:homepage ?investigatorWebUrl . } . OPTIONAL{ ?dataset gn:normalization ?normalizationType . ?normalizationType gn:name ?normalization . } . OPTIONAL{ ?dataset gn:datasetOfPlatform ?platform . ?platform gn:name ?platform_name . } . OPTIONAL{ ?dataset gn:datasetOfTissue ?tissue . ?tissue gn:name ?tissueName . } . VALUES ?datasetTerm { dct:created gn:aboutCases gn:aboutDataProcessing gn:aboutPlatform gn:aboutTissue gn:accessionId gn:acknowledgment gn:citation gn:contributors gn:datasetGroup gn:datasetOfinvestigator gn:experimentDesign gn:geoSeries gn:name gn:notes gn:specifics gn:summary gn:title } } """ result: MonadicDict = MonadicDict() results = sparql_query( sparql_conn, Template(__metadata_query).substitute(prefix=RDF_PREFIXES, name=name), ) for item in results: predicate = (item["p"] .map(lambda x: x["value"]) # type: ignore .map(strip_url)) subject = ( item["s"] .map(lambda x: x["value"]) # type: ignore .map(strip_url) .maybe(None, lambda x: x) ) object_ = (item["o"] .maybe( Nothing, lambda x: Just(x["value"])) # type: ignore ) if subject == "homepage": object_ = object_.map(strip_url) # type: ignore if _p := predicate.maybe(None, lambda x: x): # type: ignore result[_p] = object_ return result def get_trait_metadata( sparql_conn: SPARQLWrapper, trait_name: str, dataset_name: str ): """Return metadata about a given trait""" __metadata_query = """ PREFIX gn: SELECT strafter((str(?key)), "http://genenetwork.org/sampledata:") as ?key ?value WHERE { gn:sampledata_$trait_name gn:sampledata:dataset "$dataset_name" . gn:sampledata_$trait_name ?key ?value . } """ result: MonadicDict = MonadicDict() for _r in sparql_query( sparql_conn, Template(__metadata_query) .substitute(trait_name=trait_name, dataset_name=dataset_name) ): _key = _r["key"].bind(lambda x: x["value"]) # type:ignore if _key: result[_key] = _r["value"].bind(lambda x: Just(x["value"])) # type:ignore return result