File size: 2,272 Bytes
f3b0a91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | """Reference evaluator: exact Prometheus semantics (no promtool needed)."""
from fractions import Fraction as F
from alertforge import promsim as ps
def test_encode_decode_roundtrip():
vals = [100, 110, 120, 130, 130, 130, 5, None, None, ps.STALE, 7]
assert ps.decode_values(ps.encode_values(vals)) == vals
def test_encode_uses_expanding_notation():
assert ps.encode_values([0, 5, 10, 15]) == "0+5x3"
assert ps.encode_values([9, 9, 9]) == "9+0x2"
assert ps.encode_values([3, 1]) == "3-2x1"
def test_rate_full_window_extrapolates_to_window():
# 5m window, samples every minute, +60/min: rate = 1/s exactly after extrapolation.
vals = [10_000 + 60 * m for m in range(20)]
assert ps.extrapolated(vals, 10, 5) == F(1)
def test_rate_left_open_window_and_too_few_samples():
vals = [0, 60]
assert ps.extrapolated(vals, 1, 1) is None # (0, 1] holds a single sample
def test_rate_counter_reset_is_handled():
vals = [10_000, 10_060, 10_120, 30, 90] # reset at minute 3
r = ps.extrapolated(vals, 4, 5, is_rate=False)
assert r is not None and r > 0
def test_histogram_quantile_interpolates_inside_bucket():
buckets = [(F("0.1"), F(50)), (F("0.5"), F(90)), (F(1), F(100)), (None, F(100))]
# rank 0.9*100 = 90 lands exactly at the top of the 0.5 bucket
assert ps.histogram_quantile(F(9, 10), buckets) == F("0.5")
# rank 95 → halfway through (0.5, 1]
assert ps.histogram_quantile(F(95, 100), buckets) == F("0.75")
def test_histogram_quantile_inf_bucket_returns_second_highest_bound():
buckets = [(F("0.5"), F(10)), (None, F(100))]
assert ps.histogram_quantile(F(99, 100), buckets) == F("0.5")
def test_instant_lookback_and_stale():
vals = [1, 1, ps.STALE, None, None]
assert ps.instant(vals, 1) == 1
assert ps.instant(vals, 3) is None
assert ps.instant([1] + [None] * 10, 7) is None # older than 5m
def test_firing_timeline_for_semantics():
cond = {5, 6, 7, 8, 9}
fires = ps.firing_timeline(10, lambda t: {"a"} if t in cond else set(), 2)
assert [("a" in f) for f in fires] == [False] * 7 + [True, True, True, False]
def test_near_threshold_detector():
assert ps.near(F("0.0144000001"), F("0.0144"))
assert not ps.near(F("0.015"), F("0.0144"))
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