FlintyLemming/PLFM_RADAR
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fix: full-repo ruff lint cleanup and CI migration to uv

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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.
This commit is contained in:
Jason
2026-04-09 02:05:34 +03:00
parent 57de32b172
commit 11aa590cf2
31 changed files with 3633 additions and 2789 deletions
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8_Utils/Python/CSV_radar.py
+21 -9
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@@ -15,12 +15,20 @@ def generate_radar_csv(filename="pulse_compression_output.csv"):
timestamp_ns = 0
# Target parameters
targets = [
{'range': 3000, 'velocity': 25, 'snr': 30, 'azimuth': 10, 'elevation': 5}, # Fast moving target
{'range': 5000, 'velocity': -15, 'snr': 25, 'azimuth': 20, 'elevation': 2}, # Approaching target
{'range': 8000, 'velocity': 5, 'snr': 20, 'azimuth': 30, 'elevation': 8}, # Slow moving target
{'range': 12000, 'velocity': -8, 'snr': 18, 'azimuth': 45, 'elevation': 3}, # Distant target
]
targets = [
{
'range': 3000, 'velocity': 25, 'snr': 30, 'azimuth': 10, 'elevation': 5
}, # Fast moving target
{
'range': 5000, 'velocity': -15, 'snr': 25, 'azimuth': 20, 'elevation': 2
}, # Approaching target
{
'range': 8000, 'velocity': 5, 'snr': 20, 'azimuth': 30, 'elevation': 8
}, # Slow moving target
{
'range': 12000, 'velocity': -8, 'snr': 18, 'azimuth': 45, 'elevation': 3
}, # Distant target
]
# Noise parameters
noise_std = 5
@@ -38,7 +46,7 @@ def generate_radar_csv(filename="pulse_compression_output.csv"):
q_val = np.random.normal(0, noise_std)
# Add clutter (stationary targets)
clutter_range = 2000 # Fixed clutter at 2km
_clutter_range = 2000 # Fixed clutter at 2km
if sample < 100: # Simulate clutter in first 100 samples
i_val += np.random.normal(0, clutter_std)
q_val += np.random.normal(0, clutter_std)
@@ -47,7 +55,9 @@ def generate_radar_csv(filename="pulse_compression_output.csv"):
for target in targets:
# Calculate range bin (simplified)
range_bin = int(target['range'] / 20) # ~20m per bin
doppler_phase = 2 * math.pi * target['velocity'] * chirp / 100 # Doppler phase shift
doppler_phase = (
2 * math.pi * target['velocity'] * chirp / 100
) # Doppler phase shift
# Target appears around its range bin with some spread
if abs(sample - range_bin) < 10:
@@ -96,7 +106,9 @@ def generate_radar_csv(filename="pulse_compression_output.csv"):
for target in targets:
# Range bin calculation (different for short chirps)
range_bin = int(target['range'] / 40) # Different range resolution
doppler_phase = 2 * math.pi * target['velocity'] * (chirp + 5) / 80 # Different Doppler
doppler_phase = (
2 * math.pi * target['velocity'] * (chirp + 5) / 80
) # Different Doppler
# Target appears around its range bin
if abs(sample - range_bin) < 8: