98 lines
4.5 KiB
Python
98 lines
4.5 KiB
Python
"""Neutral preprocessing grids must preserve the actual radar data unchanged."""
|
|
|
|
from __future__ import annotations
|
|
|
|
import unittest
|
|
|
|
import numpy as np
|
|
|
|
from python_app.hardware_full.point_target_mock_service import PointTargetMockService
|
|
from python_app.models.run_config_schema import RunConfigModel
|
|
from python_app.workflows.neutral_preprocess import build_neutral_s21_sets, supports_neutral_preprocess_sets
|
|
|
|
|
|
def _kamil_config(*, points: int = 5) -> RunConfigModel:
|
|
return RunConfigModel.from_dict(
|
|
{
|
|
"radar": {
|
|
"model": "kamil_adc",
|
|
"kamil_adc": {
|
|
"band": {"start_hz": 2_100_000_000.0, "stop_hz": 5_500_000_000.0, "points": points},
|
|
},
|
|
},
|
|
"switches": {"port1": {"positions": 1}, "port2": {"positions": 2}},
|
|
"run": {"combos": [{"input": 0, "output": 0}, {"input": 1, "output": 0}]},
|
|
}
|
|
)
|
|
|
|
|
|
class KamilAdcNeutralPreprocessTest(unittest.TestCase):
|
|
def test_builds_passthrough_s21_sets_on_band_grid(self) -> None:
|
|
calibration, reference = build_neutral_s21_sets(_kamil_config(points=5))
|
|
|
|
expected_frequency = np.linspace(2_100_000_000.0, 5_500_000_000.0, 5).astype(np.float32)
|
|
self.assertEqual(len(calibration.traces), 2)
|
|
self.assertEqual(len(reference.traces), 2)
|
|
self.assertEqual(
|
|
[(trace.combo.input, trace.combo.output) for trace in calibration.traces],
|
|
[(0, 0), (1, 0)],
|
|
)
|
|
for trace in calibration.traces:
|
|
np.testing.assert_array_equal(trace.frequency_hz, expected_frequency)
|
|
np.testing.assert_array_equal(trace.s21, np.ones(5, dtype=np.complex64))
|
|
for trace in reference.traces:
|
|
np.testing.assert_array_equal(trace.frequency_hz, expected_frequency)
|
|
np.testing.assert_array_equal(trace.s21, np.zeros(5, dtype=np.complex64))
|
|
|
|
def test_grid_matches_processor_grid(self) -> None:
|
|
"""The neutral axis must be byte-identical to the acquisition grid."""
|
|
from python_app.hardware_full.kamil_adc import (
|
|
KamilAdcProcessingParams,
|
|
KamilAdcSweepProcessor,
|
|
)
|
|
|
|
config = _kamil_config(points=17)
|
|
processor = KamilAdcSweepProcessor(KamilAdcProcessingParams.from_kamil_model(config.radar.kamil_adc))
|
|
calibration, _reference = build_neutral_s21_sets(config)
|
|
np.testing.assert_array_equal(calibration.traces[0].frequency_hz, processor.grid_hz)
|
|
|
|
def test_rejects_degenerate_band(self) -> None:
|
|
with self.assertRaisesRegex(ValueError, "points must be >= 2"):
|
|
build_neutral_s21_sets(_kamil_config(points=1))
|
|
|
|
def test_dtypes_are_float32_and_complex64(self) -> None:
|
|
calibration, _reference = build_neutral_s21_sets(_kamil_config())
|
|
trace = calibration.traces[0]
|
|
self.assertEqual(trace.frequency_hz.dtype, np.float32)
|
|
self.assertEqual(trace.s21.dtype, np.complex64)
|
|
|
|
def test_calibration_s21_is_a_nonzero_divisor(self) -> None:
|
|
# The preprocessor divides measured/calibration, so calibration S21
|
|
# must never be zero — that is the whole point of the '1+0j neutral' contract.
|
|
calibration, _reference = build_neutral_s21_sets(_kamil_config())
|
|
for trace in calibration.traces:
|
|
self.assertTrue(bool(np.all(trace.s21 != 0)))
|
|
|
|
def test_single_mock_grid_is_exact_and_neutral_s21_is_passthrough(self) -> None:
|
|
config = RunConfigModel.from_dict({"radar": {
|
|
"model": "librevna", "driver_mode": "mock",
|
|
"sweep": {"start_hz": 1e6, "stop_hz": 6e9, "points": 201},
|
|
}})
|
|
self.assertTrue(supports_neutral_preprocess_sets(config))
|
|
radar = PointTargetMockService(config)
|
|
radar.configure(config.radar.sweep)
|
|
measured = radar.acquire_collection()
|
|
calibration, reference = build_neutral_s21_sets(config)
|
|
for trace, cal, ref in zip(measured.traces, calibration.traces, reference.traces):
|
|
np.testing.assert_array_equal(trace.frequency_hz, cal.frequency_hz)
|
|
np.testing.assert_array_equal(trace.frequency_hz, ref.frequency_hz)
|
|
np.testing.assert_array_equal(trace.s21 / cal.s21 - ref.s21, trace.s21)
|
|
|
|
def test_native_single_axis_remains_outside_verified_shortcut(self) -> None:
|
|
config = RunConfigModel.from_dict({"radar": {"model": "librevna", "driver_mode": "native"}})
|
|
self.assertFalse(supports_neutral_preprocess_sets(config))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|