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_boost_based_upon_recency_of_match():
match_maker = MatchMaker(match_request_since_date='does not matter')
now = datetime.now().astimezone(timezone.utc)
match_maker._most_recent_match_by_profile = {
key('A'): {
'date': now
},
key('B'): {
'date': now - timedelta(weeks=1)
},
key('C'): {
'date': now - timedelta(weeks=2)
},
# key('D'): {'date': now - infinity}, <- no entry is treated as never having met
# key('E'): {'date': now - infinity}, <- no entry is treated as never having met
}
scoreAB = match_maker._boost_based_upon_recency_of_match('A', 'B')
scoreAC = match_maker._boost_based_upon_recency_of_match('A', 'C')
scoreAD = match_maker._boost_based_upon_recency_of_match('A', 'D')
scoreDE = match_maker._boost_based_upon_recency_of_match('D', 'E')
assert scoreAB < scoreAC < scoreAD < scoreDE, 'there is a larger boost for those who have not met in a while'
assert scoreDE == 2, \
'boosts of the individual profiles are additive, and if a player has never been in a match their boost is 1'