cosim_dir revival:
- gen_realdata_hex.py: also emit decimated_range_{i,q}.npy (48x512)
and doppler_map_{i,q}.npy (512x48) at production dimensions; the
same Python pipeline that produces the RTL .hex stimuli now writes
the .npy intermediates v7.replay COSIM_DIR loads. Replaces the
workflow lost when golden_reference.py was deleted in e8b495c
- test_v7.py: update test_get_frame_cosim shape from pre-PR-O.6
(64,32) to (NUM_RANGE_BINS, NUM_DOPPLER_BINS)
- check in 4 .npy reference files (~400 KB, deterministic SCENE_SEED=42)
Ruff lint cleanup (was 66 errors; now 0):
- pyproject.toml: ignore T20 in tb/cosim/**.py (CLI tools)
- compare_independent.py: drop redundant int() casts (RUF046),
swap try/except scipy import for importlib.util.find_spec,
remove dead duplicate np import, ASCII-ize comment unicode,
wrap E501 format strings
- fpga_reference.py: drop unused fs arg from nco_reference,
collapse if/else to ternary, mark _out_im unused
- v7/processing.py: ASCII-ize x in docstring, collapse if-branches
- {dashboard,software_fpga,workers,radar_protocol}.py: wrap E501
- test_v7.py: ASCII-ize comment unicode, _alias renames where unused
Result: test_v7 100/100 (0 skips on radar_venv, was 9 graceful
skips); 5 cosim_dir orphan tests now active and passing.
Refactor v7.WaveformConfig from single-PRI to PR-Q's 3-PRI staggered
ladder (SHORT 175 us / MEDIUM 161 us / LONG 167 us) and update the
host-side bulk-frame parser dimension to match the FPGA's 48-bin
Doppler output (RP_NUM_DOPPLER_BINS = 48). The parser was rejecting
every production frame with n_doppler != 32, masking the PR-F widening
end-to-end.
WaveformConfig:
- pri_short_s/pri_medium_s/pri_long_s replace single pri_s
- n_doppler_bins 32 -> 48; new num_subframes=3
- Per-subframe velocity_resolution_{short,medium,long}_mps
- Per-subframe max_velocity_{short,medium,long}_mps
- extended_max_velocity_mps_crt(K=6) for 3-PRI alias-resolution ceiling
- Drop pri_s, velocity_resolution_mps, max_velocity_mps (no aliases)
Other:
- radar_protocol.NUM_DOPPLER_BINS 32 -> 48 (NUM_CELLS auto 16384 -> 24576;
BULK_FRAME_MAX_SIZE flows from NUM_CELLS, no other edits needed)
- v7/dashboard.py constant + stale "(64x32)" title replaced with f-string
- v7/processing.py 32-bin fallback -> 48
- v7/workers.py: derive doppler_center from frame.shape; LONG-PRI v_res
used as conservative single-PRI placeholder until PR-Q.5 lands the
CRT extractor (markers in place at both call sites)
- test_v7.py: TestWaveformConfig rewritten (8 tests, per-subframe + CRT
extension); TestExtractTargetsFromFrame center 16 -> 24
Local tests:
TestWaveformConfig 8/8 PASS
TestExtractTargetsFromFrame 6/6 PASS
test_GUI_V65_Tk 117/0/2 PASS
- Add FT601Connection in radar_protocol.py using ftd3xx library with
proper setChipConfiguration re-enumeration handling (close, wait 2s,
re-open) and 4-byte write alignment
- Add USB Interface dropdown to V65 Tk GUI (FT2232H default, FT601 option)
- Add USB Interface combo to V7 PyQt dashboard with Live/File mode toggle
- Fix mock frame_start bit 7 in both FT2232H and FT601 connections
- Use FPGA range data from USB packets instead of recomputing in Python
- Export FT601Connection from v7/hardware.py and v7/__init__.py
- Add 7 FT601Connection tests (91 total in test_GUI_V65_Tk.py)
Add SoftwareFPGA class that imports golden_reference functions to
replicate the FPGA pipeline in software, enabling bit-accurate replay
of raw IQ, FPGA co-sim, and HDF5 recordings through the same
dashboard path as live data.
New modules: software_fpga.py, replay.py (ReplayEngine + 3 loaders)
Enhanced: WaveformConfig model, extract_targets_from_frame() in
processing, ReplayWorker with thread-safe playback controls,
dashboard replay UI with transport controls and dual-dispatch
FPGA parameter routing.
Removed: ReplayConnection (from radar_protocol, hardware, dashboard,
tests) — replaced by the unified replay architecture.
150/150 tests pass, ruff clean.
Bug #1 — Range calibration for Raw IQ Replay:
- Add WaveformConfig dataclass (models.py) with FMCW waveform params
(fs, BW, T_chirp, fc) and methods to compute range/velocity resolution
- Add waveform parameter spinboxes to playback controls (dashboard.py)
- Auto-parse waveform params from ADI phaser filename convention
- Create replay-specific RadarSettings with correct calibration instead
of using FPGA defaults (781.25 m/bin → 0.334 m/bin for ADI phaser)
- Add 4 unit tests validating WaveformConfig math
Bug #2 — Demo + radar mutual exclusion:
- _start_demo() now refuses if radar is running (_running=True)
- _start_radar() stops demo first if _demo_mode is active
- Demo buttons disabled while radar/replay is running, re-enabled on stop
Bug #3 — Refactor adi_agc_analysis.py:
- Remove 60+ lines of duplicated AGC functions (signed_to_encoding,
encoding_to_signed, clamp_gain, apply_gain_shift)
- Import from v7.agc_sim canonical implementation
- Rewrite simulate_agc() to use process_agc_frame() in a loop
- Rewrite process_frame_rd() to use quantize_iq() from agc_sim
- workers.py: Only emit playbackStateChanged on state transitions to
prevent stale 'playing' signal from overwriting pause button text
- dashboard.py: Force C locale on all QDoubleSpinBox instances so
comma-decimal locales don't break numeric input; add missing
'Saturation' legend label to AGC chart
- map_widget.py: Enable LocalContentCanAccessRemoteUrls and set HTTP
base URL so Leaflet CDN tiles/scripts load correctly in QtWebEngine
State machine fixes:
1. Raw IQ replay EOF now calls _stop_radar() to fully restore UI
2. Worker thread finished signal triggers UI recovery on crash/exit
3. _stop_radar() stops demo simulator to prevent cross-mode interference
4. _stop_demo() correctly identifies Mock mode via combo text
5. Demo start no longer clobbers status bar when acquisition is running
6. _stop_radar() resets playback button text, frame counter, file label
7. _start_raw_iq_replay() error path cleans up stale controller/worker
8. _refresh_gui() preserves Raw IQ paused status instead of overwriting
Map/location:
- RawIQReplayWorker now receives _radar_position (GPSData ref) so
targets get real lat/lon projected from the virtual radar position
- Added heading control to Map tab sidebar (0-360 deg, wrapping)
- Manual lat/lon/heading changes in Map tab apply to replay targets
Ruff clean, 120/120 tests pass.
Add a 4th connection mode to the V7 dashboard that loads raw complex IQ
captures (.npy) and runs the full FPGA signal processing chain in software:
quantize → AGC → Range FFT → Doppler FFT → MTI → DC notch → CFAR.
Implementation (7 steps):
- v7/agc_sim.py: bit-accurate AGC runtime extracted from adi_agc_analysis.py
- v7/processing.py: RawIQFrameProcessor (full signal chain) + shared
extract_targets_from_frame() for bin-to-physical conversion
- v7/raw_iq_replay.py: RawIQReplayController with thread-safe playback
state machine (play/pause/stop/step/seek/loop/FPS)
- v7/workers.py: RawIQReplayWorker (QThread) emitting same signals as
RadarDataWorker + playback state/index signals
- v7/dashboard.py: mode combo entry, playback controls UI, dynamic
RangeDopplerCanvas that adapts to any frame size
Bug fixes included:
- RangeDopplerCanvas no longer hardcodes 64x32; resizes dynamically
- Doppler centre bin uses n_doppler//2 instead of hardcoded 16
- Shared target extraction eliminates duplicate code between workers
Ruff clean, 120/120 tests pass.
Resolve all 374 ruff errors across 36 Python files (E501, E702, E722,
E741, F821, F841, invalid-syntax) bringing `ruff check .` to zero
errors repo-wide with line-length=100.
Rewrite CI workflow to use uv for dependency management, whole-repo
`ruff check .`, py_compile syntax gate, and merged python-tests job.
Add pyproject.toml with ruff config and uv dependency groups.
CI structure proposed by hcm444.
Jason