paramsd: cache restore unit test (#34966)

* Add a test

* Fix P_init restore

* Add migration to the first test

* Reuse the route from lld scenarios test
pull/34970/head
Kacper Rączy 4 weeks ago committed by GitHub
parent ffcbdc8c43
commit 39d4148c70
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
  1. 4
      selfdrive/locationd/paramsd.py
  2. 57
      selfdrive/locationd/test/test_paramsd.py

@ -33,7 +33,7 @@ class VehicleParamsLearner:
self.x_initial[States.STEER_RATIO] = steer_ratio
self.x_initial[States.STIFFNESS] = stiffness_factor
self.x_initial[States.ANGLE_OFFSET] = angle_offset
self.P_initial = P_initial or CarKalman.P_initial
self.P_initial = P_initial if P_initial is not None else CarKalman.P_initial
self.kf.set_globals(
mass=CP.mass,
@ -240,7 +240,7 @@ def retrieve_initial_vehicle_params(params_reader: Params, CP: car.CarParams, re
initial_filter_std = np.array(lp.debugFilterState.std)
if debug and len(initial_filter_std) != 0:
p_initial = initial_filter_std
p_initial = np.diag(initial_filter_std)
steer_ratio, stiffness_factor, angle_offset_deg = lp.steerRatio, lp.stiffnessFactor, lp.angleOffsetAverageDeg
retrieve_success = True

@ -0,0 +1,57 @@
import random
import numpy as np
import json
from cereal import messaging
from openpilot.selfdrive.locationd.paramsd import retrieve_initial_vehicle_params, migrate_cached_vehicle_params_if_needed
from openpilot.selfdrive.locationd.models.car_kf import CarKalman
from openpilot.selfdrive.locationd.test.test_locationd_scenarios import TEST_ROUTE
from openpilot.selfdrive.test.process_replay.migration import migrate, migrate_carParams
from openpilot.common.params import Params
from openpilot.tools.lib.logreader import LogReader
def get_random_live_parameters(CP):
msg = messaging.new_message("liveParameters")
msg.liveParameters.steerRatio = (random.random() + 0.5) * CP.steerRatio
msg.liveParameters.stiffnessFactor = random.random()
msg.liveParameters.angleOffsetAverageDeg = random.random()
msg.liveParameters.debugFilterState.std = [random.random() for _ in range(CarKalman.P_initial.shape[0])]
return msg
class TestParamsd:
def test_read_saved_params(self):
params = Params()
lr = migrate(LogReader(TEST_ROUTE), [migrate_carParams])
CP = next(m for m in lr if m.which() == "carParams").carParams
msg = get_random_live_parameters(CP)
params.put("LiveParameters", msg.to_bytes())
params.put("CarParamsPrevRoute", CP.as_builder().to_bytes())
migrate_cached_vehicle_params_if_needed(params) # this is not tested here but should not mess anything up or throw an error
sr, sf, offset, p_init = retrieve_initial_vehicle_params(params, CP, replay=True, debug=True)
np.testing.assert_allclose(sr, msg.liveParameters.steerRatio)
np.testing.assert_allclose(sf, msg.liveParameters.stiffnessFactor)
np.testing.assert_allclose(offset, msg.liveParameters.angleOffsetAverageDeg)
np.testing.assert_equal(p_init.shape, CarKalman.P_initial.shape)
np.testing.assert_allclose(np.diagonal(p_init), msg.liveParameters.debugFilterState.std)
# TODO Remove this test after the support for old format is removed
def test_read_saved_params_old_format(self):
params = Params()
lr = migrate(LogReader(TEST_ROUTE), [migrate_carParams])
CP = next(m for m in lr if m.which() == "carParams").carParams
msg = get_random_live_parameters(CP)
params.put("LiveParameters", json.dumps(msg.liveParameters.to_dict()))
params.put("CarParamsPrevRoute", CP.as_builder().to_bytes())
migrate_cached_vehicle_params_if_needed(params)
sr, sf, offset, _ = retrieve_initial_vehicle_params(params, CP, replay=True, debug=True)
np.testing.assert_allclose(sr, msg.liveParameters.steerRatio)
np.testing.assert_allclose(sf, msg.liveParameters.stiffnessFactor)
np.testing.assert_allclose(offset, msg.liveParameters.angleOffsetAverageDeg)
Loading…
Cancel
Save