def test_not_memoized_pair_score_and_topic():
match_maker = MatchMaker(match_request_since_date='does not matter')
now = datetime.now().astimezone(timezone.utc)
match_maker._recent_match_by_profile_pair = {
key('A', 'B'): {
'date': now - timedelta(weeks=20)
},
}
match_maker._most_recent_match_by_profile = {
key('A'): {
'date': now - timedelta(weeks=20)
},
key('B'): {
'date': now - timedelta(weeks=20)
},
}
match_maker._recent_match_by_profile_pair_and_topic = {
key('A', 'B', 'science'): {
'date': now - timedelta(weeks=10)
},
key('A', 'B', 'art'): {
'date': now - timedelta(weeks=20)
},
}
match_maker._match_requests_profile_to_topic = {
'A': {'science', 'art', 'history'},
'B': {'science', 'art', 'religion'},
}
score, topic = match_maker._not_memoized_pair_score_and_topic('A', 'B')
assert score > 0
assert score != int(
score
), "score is a whole number, that's unlikely if we're really exercising the functionality"
assert topic == 'art'
def test_select_topic():
match_maker = MatchMaker(match_request_since_date='does not matter')
now = datetime.now().astimezone(timezone.utc)
match_maker._recent_match_by_profile_pair_and_topic = {
key('A', 'B', 'science'): {
'date': now - timedelta(weeks=10)
},
key('A', 'B', 'art'): {
'date': now - timedelta(weeks=20)
},
}
met_recently = True
topics = {'science', 'art', 'history'}
selected_topic = match_maker._select_topic('A', 'B', met_recently, topics)
assert selected_topic == 'history', 'choose the topic they have not yet met in'
topics = {'science', 'art'}
selected_topic = match_maker._select_topic('A', 'B', met_recently, topics)
assert selected_topic == 'art', 'if they have already met in all topics, choose the least recent topic'
