def prepare_search(self, query_string):
"""
Prepares the threaded search system for running efficiently in multiple threads
"""
# Initialize the Search Engine and the IEEE Processor
se = SearchEngine()
processor = IEEEProcessor()
# First, run the test query at the server
query_results = se.make_test_query(query_string)
# Second, read the results into XML parser root element
root = ET.fromstring(query_results)
# Third, get the amount of found results
self._total_found = processor.get_amount_entries_found(root)
self._calculate_amount_threads(self._total_found)
def create_and_perform_query(queryText, results, start_point):
# Perform the query
# First, create the search engine client
se = SearchEngine()
# Second, set the query
se.set_query(queryText)
# Third, set the paging (get full 100, start with the given point)
se.set_paging(100, start_point)
# Fourth, set filtering
# TODO: Missing filtering
# Five, perform the query
se.perform_query()
# Six, get the results
res = se.get_results()
# Put it to the queue
results.put(res)
# Give some info on what has happened so far
end_point = start_point+100
print(str(start_point) + " - " + str(end_point) + " results parsed")
