from wikidata_api_calls import run_sparql_query from itertools import chain, islice import csv from json import JSONDecodeError class LabelData: __slots__ = ['entityid','label','langcode','is_alt'] def __init__(self, wd_res, is_alt): obj = wd_res.get('label',None) self.label = obj.get('value',None) self.langcode = obj.get('xml:lang',None) self.entityid = wd_res.get('entity',None).get('value',None) self.is_alt = is_alt def to_list(self): return [self.entityid, self.label, self.langcode, self.is_alt] def GetAllLabels(in_csvs, outfile, topNs): def load_entity_ids(in_csv, topN=5): with open(in_csv,'r',newline='') as infile: reader = csv.DictReader(infile) for row in reader: if int(row['search_position']) < topN: yield row["entityid"] ids = set(chain(* map(lambda in_csv, topN: load_entity_ids(in_csv, topN), in_csvs, topNs))) labeldata = GetEntityLabels(ids) with open(outfile, 'w', newline='') as of: writer = csv.writer(of) writer.writerow(LabelData.__slots__) writer.writerows(map(LabelData.to_list,labeldata)) def GetEntityLabels(entityids): def run_query_and_parse(query, is_alt): results = run_sparql_query(query) try: jobj = results.json() res = jobj.get('results',None) if res is not None: res = res.get('bindings',None) if res is None: raise requests.APIError(f"got invalid response from wikidata for {query % entityid}") for info in res: yield LabelData(info, is_alt) except JSONDecodeError as e: print(e) print(query) def prep_query(query, prop, entityids): values = ' '.join(('wd:{0}'.format(id) for id in entityids)) return query.format(prop, values) base_query = """ SELECT DISTINCT ?entity ?label WHERE {{ ?entity {0} ?label; VALUES ?entity {{ {1} }} }}""" # we can't get all the entities at once. how about 100 at a time? chunksize = 100 entityids = (id for id in entityids) chunk = list(islice(entityids, chunksize)) calls = [] while len(chunk) > 0: label_query = prep_query(base_query, "rdfs:label", chunk) altLabel_query = prep_query(base_query, "skos:altLabel", chunk) label_results = run_query_and_parse(label_query, is_alt=False) altLabel_results = run_query_and_parse(altLabel_query, is_alt=True) calls.extend([label_results, altLabel_results]) chunk = list(islice(entityids, chunksize)) return chain(*calls) if __name__ == "__main__": import argparse parser = argparse.ArgumentParser("Use wikidata to find transliterations of terms") parser.add_argument('inputs', type=str, nargs='+', help='one or more files to read. the inputs are generated by wikidata_search.py') parser.add_argument('--topN', type=int, nargs='+', help='limit number of wikidata search results to use, can pass one arg for each source.') parser.add_argument('--output', type=str, help='an output file. defaults to stdout',default=20) args = parser.parse_args() GetAllLabels(args.inputs, args.output, topNs=args.topN)