def are_too_similar(product1, product2, product_models_by_product, filter_field, threshold):
product1_model = product_models_by_product.get(product1)
if product1_model is None:
return False
product2_model = product_models_by_product.get(product2)
if product2_model is None:
return False
product1_stems = product1_model.get_attribute(filter_field)
product2_stems = product2_model.get_attribute(filter_field)
n_common_terms = text.count_common_terms(product1_stems, product2_stems)
return n_common_terms > threshold
def test_count_common_terms_English():
""" Tests common terms counting.
"""
language = "english"
text1 = "Just a test sentence for the purpose of just testing common terms counting."
text2 = "This is just a sentence for tests purposes."
text1_tokens = text.tokenize(text1)
text2_tokens = text.tokenize(text2)
text1_stems = text.get_stems(text1_tokens, language)
text2_stems = text.get_stems(text2_tokens, language)
text1_stems_no_stopwords = set(text.remove_stopwords(text1_stems, language))
text2_stems_no_stopwords = set(text.remove_stopwords(text2_stems, language))
nose.tools.eq_(text.count_common_terms(text1_stems_no_stopwords,
text2_stems_no_stopwords),
3) # sentence, purpos3, tests
