def search(self, query):
results = []
query_document = Document(query)
query_stems = query_document.get_stems()
documents = self.corpus.get_documents()
for doc in documents:
document_id = doc.get_id()
score = 0.0
stemmed_document = doc.get_stems()
for qstem in query_stems:
if qstem in stemmed_document:
term_frequency = self.metrics.get_term_frequency(document_id, qstem)
score += term_frequency
if score > 0.0:
results.append({"id": doc.get_id(), "score": score, "text": doc.get_text()})
return results
