rename 'transliterations' to 'keywords'

[covid19.git] / transliterations / src / wikidata_transliterations.py

diff --git a/transliterations/src/wikidata_transliterations.py b/transliterations/src/wikidata_transliterations.py
deleted file mode 100644 (file)
index 1ac956c..0000000
--- a/transliterations/src/wikidata_transliterations.py
+++ /dev/null
@@ -1,107 +0,0 @@
-from wikidata_api_calls import run_sparql_query
-from itertools import chain, islice
-import csv
-from json import JSONDecodeError
-from os import path
-
-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 = list(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)
-        
-
-def find_new_output_file(output, i = 1):
-    if path.exists(output):
-        name, ext = path.splitext(output)
-
-        return find_new_output_file(f"{name}_{i}.{ext}", i+1)
-    else:
-        return output
-
-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()
-
-    output = find_new_output_file(args.output)
-
-    GetAllLabels(args.inputs, output, topNs=args.topN)