import os import report_build as RB _SR = { "overall": "PASS", "cases": [ {"id": "ds_size_1000", "shape": "hub", "axis": "ds_signal_elements", "level": 1000, "status": "PASS", "survival": True, "clients": 1, "min_frames": 200, "marte_cpu_s": 12.8, "marte_rss_mb": 10.4, "hub_cpu_s": 2.33, "hub_rss_mb": 28.3, "zoom_count": 0, "zoom_fail": 0, "zoom_p50_ms": 0.0, "zoom_p95_ms": 0.0, "fails": []}, {"id": "ds_size_4000", "shape": "hub", "axis": "ds_signal_elements", "level": 4000, "status": "PASS", "survival": True, "clients": 1, "min_frames": 180, "marte_cpu_s": 20.0, "marte_rss_mb": 14.0, "hub_cpu_s": 3.0, "hub_rss_mb": 40.0, "zoom_count": 0, "zoom_fail": 0, "zoom_p50_ms": 0.0, "zoom_p95_ms": 0.0, "fails": []}, {"id": "hub_reqrate_50", "shape": "hub", "axis": "hub_zoom_reqrate_hz", "level": 50, "status": "PASS", "survival": True, "clients": 4, "min_frames": 100, "marte_cpu_s": 5.0, "marte_rss_mb": 12.0, "hub_cpu_s": 8.0, "hub_rss_mb": 60.0, "zoom_count": 400, "zoom_fail": 0, "zoom_p50_ms": 12.0, "zoom_p95_ms": 35.0, "fails": []}, ], } def test_build_stress_groups_by_axis_sorted_by_level(): st = RB.build_stress(_SR) assert st["overall"] == "PASS" assert len(st["cases"]) == 3 assert set(st["by_axis"]) == {"ds_signal_elements", "hub_zoom_reqrate_hz"} levels = [c["level"] for c in st["by_axis"]["ds_signal_elements"]] assert levels == [1000, 4000] # sorted ascending def test_stress_headline_aggregates(): st = RB.build_stress(_SR) hl = RB.stress_headline(st) assert hl["stress_pass"] == 3 assert hl["stress_fail"] == 0 assert hl["stress_max_hub_rss_mb"] == 60.0 assert hl["stress_max_marte_rss_mb"] == 14.0 assert hl["stress_max_zoom_p95_ms"] == 35.0 def test_stress_plots_one_png_per_axis(tmp_path): st = RB.build_stress(_SR) made = RB.stress_plots(st["by_axis"], str(tmp_path)) names = {os.path.basename(p) for p in made} assert "stress_ds_signal_elements.png" in names assert "stress_hub_zoom_reqrate_hz.png" in names for p in made: assert os.path.exists(p) def test_regression_includes_stress_when_present(): curr = {"e2e_pass": 5, "stress_max_hub_rss_mb": 60.0} prev = {"e2e_pass": 5, "stress_max_hub_rss_mb": 50.0} labels = dict(RB._LABELS); labels["stress_max_hub_rss_mb"] = "Stress max hub RSS (MB)" directions = dict(RB._DIRECTION); directions["stress_max_hub_rss_mb"] = False rows = RB.regression(curr, prev, labels, directions) row = next(r for r in rows if r["key"] == "stress_max_hub_rss_mb") assert row["delta"] == 10.0 assert row["better"] is False # RSS went up → worse