X-Git-Url: https://code.communitydata.science/covid19.git/blobdiff_plain/f548eeedd59a1d7d99deb8864c7d11947271e426..98b07b8098611287eaa775b09622d1f3514303c8:/transliterations/src/wikidata_search.py?ds=inline

diff --git a/transliterations/src/wikidata_search.py b/transliterations/src/wikidata_search.py
deleted file mode 100644
index e774f68..0000000
--- a/transliterations/src/wikidata_search.py
+++ /dev/null
@@ -1,91 +0,0 @@
-# generate a list of wikidata entities related to keywords
-from os import path
-from sys import stdout
-from wikidata_api_calls import search_wikidata, get_wikidata_api
-import csv
-from itertools import chain
-
-class Wikidata_ResultSet:
-    def __init__(self):
-        self.results = []
-
-    def extend(self, term, results):
-        self.results.append(
-            (Wikidata_Result(term, result, i)
-             for i, result in enumerate(results))
-        )
-
-    def to_csv(self, outfile=None):
-        if outfile is None:
-            of = stdout
-
-        else:
-            of = open(outfile,'w',newline='')
-        writer = csv.writer(of)
-        writer.writerow(Wikidata_Result.__slots__)
-        writer.writerows(map(Wikidata_Result.to_list, chain(* self.results)))
-
-
-class Wikidata_Result:
-    # store unique entities found in the search results, the position in the search result, and the date
-    __slots__=['search_term','entityid','pageid','search_position','timestamp']
-
-    def __init__(self,
-                 term,
-                 search_result,
-                 position):
-
-        self.search_term = term.strip()
-        self.entityid = search_result['title']
-        self.pageid = int(search_result['pageid'])
-        self.search_position = int(position)
-        self.timestamp = search_result['timestamp']
-
-    def to_list(self):
-        return [self.search_term,
-                self.entityid,
-                self.pageid,
-                self.search_position,
-                self.timestamp]
-    
-def run_wikidata_searches(terms):
-    api = get_wikidata_api()
-    resultset = Wikidata_ResultSet()
-    for term in terms:
-        search_results = search_wikidata(api, term)
-        resultset.extend(term, search_results)
-    return resultset
-
-def read_google_trends_files(terms_files):
-    def _read_file(infile):
-        return csv.DictReader(open(infile,'r',newline=''))
-
-    for row in chain(* [_read_file(terms_file) for terms_file in terms_files]):
-        yield row['query']
-
-
-def trawl_google_trends(terms_files, outfile = None):
-    terms = read_google_trends_files(terms_files)
-    resultset = run_wikidata_searches(terms)
-    resultset.to_csv(outfile)
-
-def trawl_base_terms(infiles, outfile = None):
-    terms = chain(* (open(infile,'r') for infile in infiles))
-    resultset = run_wikidata_searches(terms)
-    resultset.to_csv(outfile)
-
-    ## search each of the base terms in wikidata
-
-    # store unique entities found in the search results, the position in the search result, and the date
-
-if __name__ == "__main__":
-    import argparse
-    parser = argparse.ArgumentParser("Search wikidata for entities related to a set of terms.")
-    parser.add_argument('inputs', type=str, nargs='+', help='one or more files to read')
-    parser.add_argument('--use-gtrends', action='store_true', help = 'toggle whether the input is the output from google trends')
-    parser.add_argument('--output', type=str, help='an output file. defaults to stdout')
-    args = parser.parse_args()
-    if args.use_gtrends:
-        trawl_google_trends(args.inputs, args.output)
-    else:
-        trawl_base_terms(args.inputs, args.output)