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0ffbb74 | 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 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 | """Tests for the scripted baselines on the six simulated scenarios."""
import inspect
from dataclasses import replace
import numpy as np
import pytest
from beampilot import baselines
from beampilot.baselines import naive_uniform, scripted_iso, suggest_verdict
from beampilot.session import (
SCENARIOS,
Faults,
MeasurementSession,
background_drift_scenario,
clean_scenario,
partial_saturation_scenario,
reveal_truth,
waist_outside_range_scenario,
)
from beampilot.tools import VERDICTS
def _tool_calls(session: MeasurementSession, tool: str) -> list[dict]:
return [entry for entry in session.log if entry["tool"] == tool]
def test_scripted_clean_is_iso_compliant_and_accurate() -> None:
session = MeasurementSession(clean_scenario())
report = scripted_iso(session)["report"]
truth = reveal_truth(session)
assert report["verdict"] == "iso_compliant"
for axis in ("x", "y"):
m2 = report["evaluation"][axis]["m2"]
error = m2 / truth[f"m2_{axis}"] - 1
print(f"\nscripted clean M²{axis} {m2} (error {error:+.2%})")
assert abs(error) < 0.03
assert session.positions_left >= 0
def test_scripted_waist_outside_range() -> None:
session = MeasurementSession(waist_outside_range_scenario())
report = scripted_iso(session)["report"]
assert report["verdict"] == "waist_not_accessible"
assert report["evaluation"]["x"]["waist_accessibility"] == "outside"
def test_scripted_lowers_exposure_on_saturation_and_finishes() -> None:
session = MeasurementSession(partial_saturation_scenario())
report = scripted_iso(session)["report"]
measures = _tool_calls(session, "measure_at")
saturated = [i for i, m in enumerate(measures) if m["result"]["flags"]["saturated"]]
assert saturated, "the 5x brighter beam should saturate at least once"
lowered = [
i
for i in saturated
if i + 1 < len(measures)
and measures[i + 1]["arguments"]["z_mm"] == measures[i]["arguments"]["z_mm"]
and measures[i + 1]["arguments"]["exposure_ms"]
<= measures[i]["arguments"]["exposure_ms"] / 2
]
assert lowered, "a saturated position is measured again at <= half the exposure"
statuses = [
session.measurements[measures[i]["result"]["measurement_id"]].status
for i in saturated
]
assert "accept" not in statuses
assert report["verdict"] == "iso_compliant"
@pytest.mark.parametrize("power_factor", [200.0, 0.02])
def test_scripted_handles_very_bright_and_very_dim_beams(power_factor: float) -> None:
"""200x brighter or 50x dimmer than the clean beam: exposure from the peak."""
scenario = replace(clean_scenario(), faults=Faults(power_factor=power_factor))
session = MeasurementSession(scenario)
report = scripted_iso(session)["report"]
print(f"\npower x{power_factor}: {report['verdict']}, {session.positions_used} pos")
assert report["verdict"] != "measurement_failed"
accepted = report["positions_accepted"]
assert accepted >= 4
def test_scripted_finds_a_waist_outside_the_scout_span() -> None:
"""Waist at 25 mm: inside the stage, below the first scout (31 mm)."""
base = clean_scenario()
beam = replace(base.beam, z0x_m=0.025, z0y_m=0.025)
session = MeasurementSession(replace(base, beam=beam))
report = scripted_iso(session)["report"]
assert report["verdict"] == "iso_compliant"
truth = reveal_truth(session)
for axis in ("x", "y"):
m2 = report["evaluation"][axis]["m2"]
assert m2 == pytest.approx(truth[f"m2_{axis}"], rel=0.03)
@pytest.mark.parametrize("z0_m", [0.002, 0.248])
def test_scripted_waist_two_mm_from_a_stage_end(z0_m: float) -> None:
"""Scouts alone can place this waist just outside the stage; the operator
must measure closer to that end instead of giving up."""
base = clean_scenario(seed=1)
session = MeasurementSession(
replace(base, beam=replace(base.beam, z0x_m=z0_m, z0y_m=z0_m))
)
report = scripted_iso(session)["report"]
assert report["verdict"] == "iso_compliant"
for axis in ("x", "y"):
assert report["evaluation"][axis]["waist_accessibility"] in (
"inside",
"uncertain",
)
def test_scripted_true_m2_of_one_is_iso_compliant() -> None:
"""Reviewer case: M² = 1.0, seed 5 fitted 0.997 with a tiny sigma and
the M² < 1 guard refused the correct verdict."""
base = clean_scenario(seed=5)
beam = replace(base.beam, m2x=1.0, m2y=1.0)
session = MeasurementSession(replace(base, beam=beam))
report = scripted_iso(session)["report"]
assert report["verdict"] == "iso_compliant"
assert not report["evaluation"]["m2_below_1"]
def test_largest_gap_midpoint() -> None:
gap = baselines._ScriptedOperator._largest_gap_midpoint
# Gaps 3.2, 5.0, 7.4, 7.5, 3.9: the largest is 15.6-23.1.
assert gap((0.0, 27.0), [3.2, 8.2, 15.6, 23.1]) == 19.4
assert gap((0.0, 10.0), []) == 5.0
assert gap((5.0, 5.0), []) is None
def test_scripted_remeasures_a_failed_scout_to_reach_the_waist() -> None:
"""Reviewer case: 200x bright, waist at 25 mm. The first scout (31 mm)
saturates; extending towards the waist must not stop on that position."""
base = clean_scenario()
beam = replace(base.beam, z0x_m=0.025, z0y_m=0.025)
scenario = replace(base, beam=beam, faults=Faults(power_factor=200.0))
session = MeasurementSession(scenario)
report = scripted_iso(session)["report"]
assert report["verdict"] == "iso_compliant"
assert report["evaluation"]["x"]["m2"] is not None
def test_scripted_gives_up_at_the_exposure_limit() -> None:
"""1000x brighter: no identical repeats at the minimum exposure."""
scenario = replace(clean_scenario(), faults=Faults(power_factor=1000.0))
session = MeasurementSession(scenario)
scripted_iso(session)
calls = [
(m["arguments"]["z_mm"], m["arguments"]["exposure_ms"])
for m in _tool_calls(session, "measure_at")
]
assert len(calls) == len(set(calls)), "same position and exposure measured twice"
def test_exposure_after_survives_missing_widths() -> None:
session = MeasurementSession(clean_scenario())
operator = baselines._ScriptedOperator(session)
result = {
"flags": {"saturated": True, "low_signal": False},
"details": {"saturated_pixel_fraction": 0.01},
"d_x_um": {"mean": None},
"d_y_um": {"mean": None},
}
assert operator._exposure_after(result, 10.0) == pytest.approx(10.0 * 0.35)
def test_exposure_from_a_saturated_peak_estimate() -> None:
"""Saturated area of a Gaussian gives the true peak: exp(N p² / 2 pi sx sy)."""
session = MeasurementSession(clean_scenario())
operator = baselines._ScriptedOperator(session)
sigma_um = 50.0
true_peak = 8 * operator.full_scale
# Pixels above full scale: ellipse with r²/2σ² = ln(8).
n_saturated = 2 * np.pi * sigma_um**2 * np.log(8) / 5.5**2
result = {
"flags": {"saturated": True, "low_signal": False},
"details": {"saturated_pixel_fraction": n_saturated / 512**2},
"d_x_um": {"mean": 4 * sigma_um},
"d_y_um": {"mean": 4 * sigma_um},
}
expected = 0.7 * operator.full_scale / true_peak # factor 0.0875
assert operator._exposure_after(result, 10.0) == pytest.approx(
10.0 * expected, rel=1e-3
)
def test_scripted_retakes_darks_on_room_light() -> None:
session = MeasurementSession(background_drift_scenario())
report = scripted_iso(session)["report"]
retakes = _tool_calls(session, "retake_darks")
assert len(retakes) == 1
assert "error" not in retakes[0]["result"]
measures = _tool_calls(session, "measure_at")
first_flagged = next(
i for i, m in enumerate(measures) if m["result"]["flags"]["background_changed"]
)
assert not any(
m["result"]["flags"]["background_changed"]
for m in measures[first_flagged + 1 :]
)
assert report["verdict"] == "iso_compliant"
@pytest.mark.parametrize("name", sorted(SCENARIOS))
def test_naive_runs_to_finish(name: str) -> None:
session = MeasurementSession(SCENARIOS[name]())
result = naive_uniform(session)
assert result["report"]["verdict"] in VERDICTS
assert session.finished
assert len(_tool_calls(session, "measure_at")) == 10
@pytest.mark.parametrize(
("evaluation", "expected"),
[
({"status": "not_enough_data"}, "measurement_failed"),
(
{
"status": "ok",
"x": {"fit_success": False, "waist_accessibility": None},
"y": {"fit_success": True, "waist_accessibility": "inside"},
"general_astigmatism": False,
"iso_coverage_met": False,
},
"measurement_failed",
),
(
{
"status": "ok",
"x": {"fit_success": True, "waist_accessibility": "outside"},
"y": {"fit_success": True, "waist_accessibility": "inside"},
"general_astigmatism": True,
"iso_coverage_met": True,
},
"waist_not_accessible",
),
(
{
"status": "ok",
"x": {"fit_success": True, "waist_accessibility": "inside"},
"y": {"fit_success": True, "waist_accessibility": "inside"},
"general_astigmatism": True,
"iso_coverage_met": True,
},
"general_astigmatism_out_of_scope",
),
(
{
"status": "ok",
"x": {"fit_success": True, "waist_accessibility": "inside"},
"y": {"fit_success": True, "waist_accessibility": "inside"},
"general_astigmatism": False,
"iso_coverage_met": True,
},
"iso_compliant",
),
(
{
"status": "ok",
"x": {"fit_success": True, "waist_accessibility": "inside"},
"y": {"fit_success": True, "waist_accessibility": "inside"},
"general_astigmatism": False,
"iso_coverage_met": False,
},
"estimate_not_compliant",
),
],
)
def test_suggest_verdict_rules(evaluation: dict, expected: str) -> None:
assert suggest_verdict(evaluation) == expected
def test_collapsed_fit_predicts_nothing() -> None:
axis = {"fit_success": True, "d0_um": 0.0, "z0_mm": -40.0, "z_r_mm": 0.0}
assert baselines._predicted_d_um(axis, 100.0) is None
good = {"fit_success": True, "d0_um": 200.0, "z0_mm": 120.0, "z_r_mm": 25.0}
assert baselines._predicted_d_um(good, 145.0) == pytest.approx(200.0 * 2**0.5)
def test_scripted_survives_waist_at_stage_start() -> None:
"""Reviewer case: one axis fits to a collapsed caustic (zR rounded to 0)."""
scenario = replace(
clean_scenario(),
beam=replace(clean_scenario().beam, z0x_m=0.0, z0y_m=0.0),
)
session = MeasurementSession(scenario)
result = scripted_iso(session)
assert result["report"]["verdict"] in VERDICTS
def test_scout_refill_stops_when_tools_fail(monkeypatch) -> None:
"""A tool error must not make the scout refill loop spin forever."""
real_measure_at = baselines.measure_at
calls = {"n": 0}
def flaky_measure_at(session, z_mm, exposure_ms, reason):
# Two scouts work; every other position (later scouts and all refill
# candidates) fails, which used to make the refill loop spin.
calls["n"] += 1
if z_mm not in (31.25, 93.75):
return {"error": "stage stuck"}
return real_measure_at(session, z_mm, exposure_ms, reason)
monkeypatch.setattr(baselines, "measure_at", flaky_measure_at)
session = MeasurementSession(clean_scenario())
result = scripted_iso(session)
assert calls["n"] < 50
assert result["report"]["verdict"] in VERDICTS
def test_baselines_use_only_the_public_tools() -> None:
"""Fair comparison: no hidden truth and no session internals."""
source = inspect.getsource(baselines)
for forbidden in (
"reveal_truth",
".scenario",
".beam",
".measurements",
".dark_mean",
".faults",
"session.positions_left",
):
assert forbidden not in source, forbidden
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