Merge pull request #115 from joyshmitz/fix/live-replay-physical-units-consistency

fix(v7): align live host-DSP units with replay path
This commit is contained in:
Jason
2026-04-21 00:01:40 +03:00
committed by GitHub
2 changed files with 144 additions and 7 deletions
+129
View File
@@ -586,6 +586,135 @@ class TestSoftwareFPGA(unittest.TestCase):
self.assertEqual(fpga.agc_holdoff, 0x0F)
# ============================================================================
# Test: live vs replay physical-unit parity — regression guard for unit drift
#
# Uses AST parse of workers.py (not inspect.getsource / import) so the test
# runs in headless CI without PyQt6 — v7.workers imports PyQt6 unconditionally
# at workers.py:24, and other worker tests here already use skipUnless(
# _pyqt6_available()). Contract enforcement must not be gated on GUI deps.
#
# Asserts on AST nodes (Call / Attribute / BinOp), not source substrings, so
# false-pass on comments or docstring wording is impossible.
# ============================================================================
class TestLiveReplayPhysicalUnitsParity(unittest.TestCase):
"""Contract: live path (RadarDataWorker._run_host_dsp) and replay path
(ReplayWorker._emit_frame) both derive bin-to-physical conversion from
WaveformConfig — same source of truth, identical (range_m, velocity_ms)
for identical detections.
Regression context: before the fix, live path used
RadarSettings.velocity_resolution (default 1.0 in models.py:113) while
replay used WaveformConfig.velocity_resolution_mps (~5.343). Live GUI
therefore under-reported velocity by factor ~5.34x vs replay for
identical frames. See test_v7.py:449 for the WaveformConfig pin.
"""
@staticmethod
def _parse_method(class_name: str, method_name: str):
"""Return AST FunctionDef for class_name.method_name from workers.py,
without importing v7.workers (PyQt6-independent)."""
import ast
from pathlib import Path
path = Path(__file__).parent / "v7" / "workers.py"
tree = ast.parse(path.read_text(encoding="utf-8"))
for node in tree.body:
if isinstance(node, ast.ClassDef) and node.name == class_name:
for item in node.body:
if isinstance(item, ast.FunctionDef) and item.name == method_name:
return item
raise RuntimeError(f"{class_name}.{method_name} not found in workers.py")
@staticmethod
def _has_attribute_chain(tree, chain):
"""True if AST tree contains a dotted attribute access matching chain.
Chain ('self', '_settings', 'range_resolution') matches
``self._settings.range_resolution`` exactly.
"""
import ast
for n in ast.walk(tree):
if isinstance(n, ast.Attribute):
parts = [n.attr]
cur = n.value
while isinstance(cur, ast.Attribute):
parts.append(cur.attr)
cur = cur.value
if isinstance(cur, ast.Name):
parts.append(cur.id)
parts.reverse()
if tuple(parts) == tuple(chain):
return True
return False
@staticmethod
def _has_call_to(tree, func_name):
"""True if AST tree contains a call to a bare name (func_name())."""
import ast
for n in ast.walk(tree):
if (isinstance(n, ast.Call) and isinstance(n.func, ast.Name)
and n.func.id == func_name):
return True
return False
@staticmethod
def _has_dbin_minus(tree, literal):
"""True if AST tree contains ``dbin - <literal>`` binary op."""
import ast
for n in ast.walk(tree):
if (isinstance(n, ast.BinOp) and isinstance(n.op, ast.Sub)
and isinstance(n.left, ast.Name) and n.left.id == "dbin"
and isinstance(n.right, ast.Constant)
and n.right.value == literal):
return True
return False
def test_live_path_uses_waveform_config(self):
"""RadarDataWorker.__init__ must instantiate WaveformConfig() into
self._waveform; _run_host_dsp must read self._waveform.range_resolution_m
/ velocity_resolution_mps — not self._settings equivalents."""
init = self._parse_method("RadarDataWorker", "__init__")
self.assertTrue(self._has_call_to(init, "WaveformConfig"),
"RadarDataWorker.__init__ must instantiate WaveformConfig() into self._waveform.")
method = self._parse_method("RadarDataWorker", "_run_host_dsp")
self.assertTrue(
self._has_attribute_chain(method, ("self", "_waveform", "range_resolution_m")),
"Live path must read self._waveform.range_resolution_m.")
self.assertTrue(
self._has_attribute_chain(method, ("self", "_waveform", "velocity_resolution_mps")),
"Live path must read self._waveform.velocity_resolution_mps. "
"RadarSettings.velocity_resolution default 1.0 caused ~5.34x "
"underreport vs replay (test_v7.py:449 pins ~5.343).")
self.assertFalse(self._has_attribute_chain(
method, ("self", "_settings", "range_resolution")),
"Live path still reads stale RadarSettings.range_resolution.")
self.assertFalse(self._has_attribute_chain(
method, ("self", "_settings", "velocity_resolution")),
"Live path still reads stale RadarSettings.velocity_resolution.")
def test_live_path_doppler_center_not_hardcoded(self):
"""_run_host_dsp must derive doppler_center from frame shape, not
use hardcoded ``dbin - 16`` — mirrors processing.py:520."""
method = self._parse_method("RadarDataWorker", "_run_host_dsp")
self.assertFalse(self._has_dbin_minus(method, 16),
"Hardcoded doppler_center=16 breaks if frame shape changes. "
"Use frame.detections.shape[1] // 2 like processing.py:520.")
def test_replay_path_still_uses_waveform_config(self):
"""Parity half: replay path (ReplayWorker._emit_frame) must keep
reading self._waveform.range_resolution_m / velocity_resolution_mps —
guards against someone breaking the replay side of the invariant."""
method = self._parse_method("ReplayWorker", "_emit_frame")
self.assertTrue(self._has_attribute_chain(
method, ("self", "_waveform", "range_resolution_m")),
"Replay path lost WaveformConfig range source of truth.")
self.assertTrue(self._has_attribute_chain(
method, ("self", "_waveform", "velocity_resolution_mps")),
"Replay path lost WaveformConfig velocity source of truth.")
class TestSoftwareFPGASignalChain(unittest.TestCase):
"""SoftwareFPGA.process_chirps with real co-sim data."""
+15 -7
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@@ -23,7 +23,7 @@ import numpy as np
from PyQt6.QtCore import QThread, QObject, QTimer, pyqtSignal
from .models import RadarTarget, GPSData, RadarSettings
from .models import RadarTarget, GPSData, RadarSettings, WaveformConfig
from .hardware import (
RadarAcquisition,
RadarFrame,
@@ -84,6 +84,7 @@ class RadarDataWorker(QThread):
self._recorder = recorder
self._gps = gps_data_ref
self._settings = settings or RadarSettings()
self._waveform = WaveformConfig()
self._running = False
# Frame queue for production RadarAcquisition → this thread
@@ -97,6 +98,9 @@ class RadarDataWorker(QThread):
self._byte_count = 0
self._error_count = 0
def set_waveform(self, wf: "WaveformConfig") -> None:
self._waveform = wf
def stop(self):
self._running = False
if self._acquisition:
@@ -169,8 +173,8 @@ class RadarDataWorker(QThread):
The FPGA already does: FFT, MTI, CFAR, DC notch.
Host-side DSP adds: clustering, tracking, geo-coordinate mapping.
Bin-to-physical conversion uses RadarSettings.range_resolution
and velocity_resolution (should be calibrated to actual waveform).
Bin-to-physical conversion uses self._waveform (WaveformConfig) to keep
live and replay units aligned. Override via set_waveform() if needed.
"""
targets: list[RadarTarget] = []
@@ -180,8 +184,11 @@ class RadarDataWorker(QThread):
# Extract detections from FPGA CFAR flags
det_indices = np.argwhere(frame.detections > 0)
r_res = self._settings.range_resolution
v_res = self._settings.velocity_resolution
r_res = self._waveform.range_resolution_m
v_res = self._waveform.velocity_resolution_mps
n_doppler = (frame.detections.shape[1] if frame.detections.ndim == 2
else self._waveform.n_doppler_bins)
doppler_center = n_doppler // 2
for idx in det_indices:
rbin, dbin = idx
@@ -190,8 +197,9 @@ class RadarDataWorker(QThread):
# Convert bin indices to physical units
range_m = float(rbin) * r_res
# Doppler: centre bin (16) = 0 m/s; positive bins = approaching
velocity_ms = float(dbin - 16) * v_res
# Doppler: centre bin = 0 m/s; positive bins = approaching.
# Derived from frame shape — mirrors processing.py:520.
velocity_ms = float(dbin - doppler_center) * v_res
# Apply pitch correction if GPS data available
raw_elev = 0.0 # FPGA doesn't send elevation per-detection