def test_halflife():
s = Scorer(1)
a = s.touch('x', 10)
b = s.touch('y', 1)
b = s.touch('y', 1)
b = s.touch('y', 1)
b = s.touch('y', 1)
assert b > a
def test_Scorer():
s = Scorer(10)
a = s.touch('x', 10)
b = s.touch('y', 1)
assert a > b
a = s.touch('x')
b = s.touch('x')
assert a < b
def test_scoring(flowmachine_connect):
"""
Test that score updating algorithm is correct by comparing to cachey as reference implementation
"""
dl = daily_location("2016-01-01").store().result()
dl_time = get_compute_time(get_db(), dl.query_id)
dl_size = get_size_of_table(get_db(), dl.table_name, "cache")
initial_score = get_score(get_db(), dl.query_id)
cachey_scorer = Scorer(halflife=1000.0)
cache_score = cachey_scorer.touch("dl", dl_time / dl_size)
assert cache_score == pytest.approx(initial_score)
# Touch again
new_score = touch_cache(get_db(), dl.query_id)
updated_cache_score = cachey_scorer.touch("dl")
assert updated_cache_score == pytest.approx(new_score)
# Add another unrelated cache record, which should have a higher initial score
dl_2 = daily_location("2016-01-02").store().result()
dl_time = get_compute_time(get_db(), dl_2.query_id)
dl_size = get_size_of_table(get_db(), dl_2.table_name, "cache")
cache_score = cachey_scorer.touch("dl_2", dl_time / dl_size)
assert cache_score == pytest.approx(get_score(get_db(), dl_2.query_id))