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2.27 kB
| """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")) | |