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car: initialize brand-related settings in opendbc (#1146)
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+1
-1
Submodule opendbc_repo updated: cf9b33143f...25d172711a
@@ -107,8 +107,10 @@ class Car:
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cached_params = _cached_params
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fixed_fingerprint = (self.params.get("CarPlatformBundle") or {}).get("platform", None)
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init_params_list_sp = sunnypilot_interfaces.initialize_params(self.params)
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self.CI = get_car(*self.can_callbacks, obd_callback(self.params), alpha_long_allowed, is_release, num_pandas, cached_params, fixed_fingerprint)
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self.CI = get_car(*self.can_callbacks, obd_callback(self.params), alpha_long_allowed, is_release, num_pandas, cached_params,
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fixed_fingerprint, init_params_list_sp)
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sunnypilot_interfaces.setup_interfaces(self.CI, self.params)
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self.RI = interfaces[self.CI.CP.carFingerprint].RadarInterface(self.CI.CP, self.CI.CP_SP)
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self.CP = self.CI.CP
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@@ -4,11 +4,10 @@ Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors.
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This file is part of sunnypilot and is licensed under the MIT License.
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See the LICENSE.md file in the root directory for more details.
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"""
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from typing import Any
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from opendbc.car import structs
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from opendbc.car.interfaces import CarInterfaceBase
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from opendbc.sunnypilot.car.hyundai.longitudinal.helpers import LongitudinalTuningType
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from opendbc.sunnypilot.car.hyundai.values import HyundaiFlagsSP
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from openpilot.common.params import Params
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from openpilot.common.swaglog import cloudlog
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from openpilot.sunnypilot.selfdrive.controls.lib.nnlc.helpers import get_nn_model_path
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@@ -23,22 +22,6 @@ def log_fingerprint(CP: structs.CarParams) -> None:
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sentry.capture_fingerprint(CP.carFingerprint, CP.brand)
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def _initialize_custom_longitudinal_tuning(CI: CarInterfaceBase, CP: structs.CarParams, CP_SP: structs.CarParamsSP,
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params: Params = None) -> None:
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if params is None:
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params = Params()
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# Hyundai Custom Longitudinal Tuning
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if CP.brand == 'hyundai':
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hyundai_longitudinal_tuning = params.get("HyundaiLongitudinalTuning")
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if hyundai_longitudinal_tuning == LongitudinalTuningType.DYNAMIC:
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CP_SP.flags |= HyundaiFlagsSP.LONG_TUNING_DYNAMIC.value
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if hyundai_longitudinal_tuning == LongitudinalTuningType.PREDICTIVE:
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CP_SP.flags |= HyundaiFlagsSP.LONG_TUNING_PREDICTIVE.value
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CP_SP = CI.get_longitudinal_tuning_sp(CP, CP_SP)
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def _initialize_neural_network_lateral_control(CI: CarInterfaceBase, CP: structs.CarParams, CP_SP: structs.CarParamsSP,
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params: Params = None, enabled: bool = False) -> None:
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if params is None:
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@@ -64,5 +47,15 @@ def setup_interfaces(CI: CarInterfaceBase, params: Params = None) -> None:
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CP = CI.CP
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CP_SP = CI.CP_SP
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_initialize_custom_longitudinal_tuning(CI, CP, CP_SP, params)
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_initialize_neural_network_lateral_control(CI, CP, CP_SP, params)
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def initialize_params(params) -> list[dict[str, Any]]:
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keys: list = []
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# hyundai
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keys.extend([
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"HyundaiLongitudinalTuning"
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])
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return [{k: params.get(k, return_default=True)} for k in keys]
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