def test_to_string(self):
r = Review("Testing review.")
for _ in range(1000):
rand_num = random.random()
r.set_positivity(rand_num)
expected = "<--- Review Text ---> \n" + r.get_text() + "\n <--- Positivity ---> \n"+str(r.positivity)+"\n"
actual = r.__str__()
self.assertEqual(actual, expected)
def process_reviews(texts, pcalc):
"""
Take a list of strings, make a list of Review objects and calculate
the positivity rating for each Review.
Parameters:
texts: a list of strings for the Reviews
pcalc: a PositivityCalculator that will calculate all the ratings
Returns:
reviews: a list of fully formed Review objects
"""
reviews = []
for text in texts:
rev = Review(text)
pos = pcalc.calc_positivity(rev.get_text())
rev.set_positivity(pos)
# Add to the reviews array
reviews.append(rev)
return reviews
def test_get_text(self):
r = Review("Sample text.")
actual = r.get_text()
expected = "Sample text."
self.assertEqual(actual, expected)