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lagd: disable in release (#35426)
* disable in release * pass * one liner * Update selfdrive/locationd/lagd.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * test --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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@@ -157,7 +157,8 @@ class LateralLagEstimator:
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block_count: int = BLOCK_NUM, min_valid_block_count: int = BLOCK_NUM_NEEDED, block_size: int = BLOCK_SIZE,
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window_sec: float = MOVING_WINDOW_SEC, okay_window_sec: float = MIN_OKAY_WINDOW_SEC, min_recovery_buffer_sec: float = MIN_RECOVERY_BUFFER_SEC,
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min_vego: float = MIN_VEGO, min_yr: float = MIN_ABS_YAW_RATE, min_ncc: float = MIN_NCC,
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max_lat_accel: float = MAX_LAT_ACCEL, max_lat_accel_diff: float = MAX_LAT_ACCEL_DIFF, min_confidence: float = MIN_CONFIDENCE):
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max_lat_accel: float = MAX_LAT_ACCEL, max_lat_accel_diff: float = MAX_LAT_ACCEL_DIFF, min_confidence: float = MIN_CONFIDENCE,
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enabled: bool = True):
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self.dt = dt
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self.window_sec = window_sec
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self.okay_window_sec = okay_window_sec
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@@ -172,6 +173,7 @@ class LateralLagEstimator:
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self.min_confidence = min_confidence
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self.max_lat_accel = max_lat_accel
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self.max_lat_accel_diff = max_lat_accel_diff
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self.enabled = enabled
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self.t = 0.0
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self.lat_active = False
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@@ -206,7 +208,7 @@ class LateralLagEstimator:
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liveDelay = msg.liveDelay
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valid_mean_lag, valid_std, current_mean_lag, current_std = self.block_avg.get()
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if self.block_avg.valid_blocks >= self.min_valid_block_count and not np.isnan(valid_mean_lag) and not np.isnan(valid_std):
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if self.enabled and self.block_avg.valid_blocks >= self.min_valid_block_count and not np.isnan(valid_mean_lag) and not np.isnan(valid_std):
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if valid_std > MAX_LAG_STD:
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liveDelay.status = log.LiveDelayData.Status.invalid
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else:
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@@ -367,7 +369,10 @@ def main():
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params = Params()
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CP = messaging.log_from_bytes(params.get("CarParams", block=True), car.CarParams)
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lag_learner = LateralLagEstimator(CP, 1. / SERVICE_LIST['livePose'].frequency)
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# TODO: remove me, lagd is in shadow mode on release
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is_release = params.get_bool("IsReleaseBranch")
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lag_learner = LateralLagEstimator(CP, 1. / SERVICE_LIST['livePose'].frequency, enabled=not is_release)
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if (initial_lag_params := retrieve_initial_lag(params, CP)) is not None:
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lag, valid_blocks = initial_lag_params
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lag_learner.reset(lag, valid_blocks)
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@@ -108,6 +108,18 @@ class TestLagd:
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assert np.allclose(msg.liveDelay.lateralDelayEstimateStd, 0.0, atol=0.01)
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assert msg.liveDelay.validBlocks == BLOCK_NUM_NEEDED
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def test_disabled_estimator(self):
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mocked_CP = car.CarParams(steerActuatorDelay=0.8)
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estimator = LateralLagEstimator(mocked_CP, DT, min_recovery_buffer_sec=0.0, min_yr=0.0, enabled=False)
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lag_frames = 5
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process_messages(estimator, lag_frames, int(MIN_OKAY_WINDOW_SEC / DT) + BLOCK_NUM_NEEDED * BLOCK_SIZE)
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msg = estimator.get_msg(True)
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assert msg.liveDelay.status == 'unestimated'
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assert np.allclose(msg.liveDelay.lateralDelay, 1.0, atol=0.01)
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assert np.allclose(msg.liveDelay.lateralDelayEstimate, lag_frames * DT, atol=0.01)
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assert np.allclose(msg.liveDelay.lateralDelayEstimateStd, 0.0, atol=0.01)
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assert msg.liveDelay.validBlocks == BLOCK_NUM_NEEDED
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def test_estimator_masking(self):
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mocked_CP, lag_frames = car.CarParams(steerActuatorDelay=0.8), random.randint(1, 19)
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estimator = LateralLagEstimator(mocked_CP, DT, min_recovery_buffer_sec=0.0, min_yr=0.0, min_valid_block_count=1)
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