Merge branch 'model-switcher-v2' into cp-sp-model

Moved the initialization of 20Hz-specific variables to be conditional based on the `is_20hz` flag. This ensures that unnecessary memory allocations are avoided when the model is not running at 20Hz, improving efficiency and clarity.

.github/release-drafter.yml

@@ -0,0 +1,43 @@
+exclude-labels:
+  - 'no-changelog'
+categories:
+  - title: '🚀 Features'
+    labels:
+      - 'feature'
+      - 'enhancement'
+  - title: '🐛 Bug Fixes'
+    collapse-after: 5
+    labels:
+      - 'fix'
+      - 'bugfix'
+      - 'bug'
+  - title: '🧰 Maintenance'
+    collapse-after: 5
+    label: 'chore'
+change-template: '- $TITLE @$AUTHOR (#$NUMBER)'
+change-title-escapes: '\<*_&'
+replacers:
+  - search: '/[Ss][Uu][Nn][Nn][Yy][Pp][Ii][Ll][Oo][Tt]/g'
+    replace: 'sunnypilot'
+  - search: '/\b[Ss][Pp]\b/g'
+    replace: 'SP'
+version-resolver:
+  major:
+    labels:
+      - 'major'
+  minor:
+    labels:
+      - 'minor'
+  patch:
+    labels:
+      - 'patch'
+  default: patch
+name-template: 'v$RESOLVED_VERSION 🚀'
+tag-template: 'v$RESOLVED_VERSION'
+version-template: "0.$MAJOR.$MINOR.$PATCH" # The day OP becomes v1, we need to bump this
+tag-prefix: "v0." # The day OP becomes v1, we need to bump this
+prerelease-identifier: "staging"
+template: |
+  ## Changes
+
+  $CHANGES

.github/workflows/release-drafter.yml

@@ -0,0 +1,29 @@
+name: Release Drafter
+
+on:
+  push:
+    branches:
+      - master-new
+      - master
+    tags:
+      - 'v*'
+  pull_request_target:
+    types: [opened, reopened, synchronize]
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  update_release_draft:
+    permissions:
+      contents: write
+      pull-requests: write
+    runs-on: ubuntu-latest
+    steps:
+      - uses: release-drafter/release-drafter@v6
+        with:
+          config-name: release-drafter.yml
+          prerelease: ${{ !startsWith(github.ref, 'refs/tags/v') }}
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

cereal/README.md

@@ -29,6 +29,50 @@ then means breaking backwards-compatibility with all old logs of your fork. So w
 [custom.capnp](custom.capnp) that we will leave empty in mainline cereal/openpilot. **If you only modify those, you can ensure your
 fork will remain backwards-compatible with all versions of mainline openpilot and your fork.**
 
+An example of compatible changes:
+```diff
+diff --git a/cereal/custom.capnp b/cereal/custom.capnp
+index 3348e859e..3365c7b98 100644
+--- a/cereal/custom.capnp
++++ b/cereal/custom.capnp
+@@ -10,7 +10,11 @@ $Cxx.namespace("cereal");
+ # DO rename the structs
+ # DON'T change the identifier (e.g. @0x81c2f05a394cf4af)
+
+-struct CustomReserved0 @0x81c2f05a394cf4af {
++struct SteeringInfo @0x81c2f05a394cf4af {
++  active @0 :Bool;
++  steeringAngleDeg @1 :Float32;
++  steeringRateDeg @2 :Float32;
++  steeringAccelDeg @3 :Float32;
+ }
+
+ struct CustomReserved1 @0xaedffd8f31e7b55d {
+diff --git a/cereal/log.capnp b/cereal/log.capnp
+index 1209f3fd9..b189f58b6 100644
+--- a/cereal/log.capnp
++++ b/cereal/log.capnp
+@@ -2558,14 +2558,14 @@ struct Event {
+
+     # DO change the name of the field
+     # DON'T change anything after the "@"
+-    customReservedRawData0 @124 :Data;
++    rawCanData @124 :Data;
+     customReservedRawData1 @125 :Data;
+     customReservedRawData2 @126 :Data;
+
+     # DO change the name of the field and struct
+     # DON'T change the ID (e.g. @107)
+     # DON'T change which struct it points to
+-    customReserved0 @107 :Custom.CustomReserved0;
++    steeringInfo @107 :Custom.SteeringInfo;
+     customReserved1 @108 :Custom.CustomReserved1;
+     customReserved2 @109 :Custom.CustomReserved2;
+     customReserved3 @110 :Custom.CustomReserved3;
+```
+
+---
+
 Example
 ---
 ```python

cereal/custom.capnp

@@ -7,7 +7,9 @@ $Cxx.namespace("cereal");
 # These structs are guaranteed to remain reserved and empty in mainline
 # cereal, so use these if you want custom events in your fork.
 
-# you can rename the struct, but don't change the identifier
+# DO rename the structs
+# DON'T change the identifier (e.g. @0x81c2f05a394cf4af)
+
 struct SelfdriveStateSP @0x81c2f05a394cf4af {
   mads @0 :ModularAssistiveDrivingSystem;
 
@@ -64,7 +66,7 @@ struct ModelManagerSP @0xaedffd8f31e7b55d {
     progress @1 :Float32;
     eta @2 :UInt32;
   }
-  
+
   enum Runner {
     snpe @0;
     tinygrad @1;
@@ -79,16 +81,61 @@ struct ModelManagerSP @0xaedffd8f31e7b55d {
     generation @5 :UInt32;
     environment @6 :Text;
     runner @7 :Runner;
+    is20hz @8 :Bool;
   }
 }
 
-struct CustomReserved2 @0xf35cc4560bbf6ec2 {
+struct LongitudinalPlanSP @0xf35cc4560bbf6ec2 {
+  dec @0 :DynamicExperimentalControl;
+
+  struct DynamicExperimentalControl {
+    state @0 :DynamicExperimentalControlState;
+    enabled @1 :Bool;
+    active @2 :Bool;
+
+    enum DynamicExperimentalControlState {
+      acc @0;
+      blended @1;
+    }
+  }
 }
 
-struct CustomReserved3 @0xda96579883444c35 {
+struct OnroadEventSP @0xda96579883444c35 {
+  name @0 :EventName;
+
+  # event types
+  enable @1 :Bool;
+  noEntry @2 :Bool;
+  warning @3 :Bool;   # alerts presented only when  enabled or soft disabling
+  userDisable @4 :Bool;
+  softDisable @5 :Bool;
+  immediateDisable @6 :Bool;
+  preEnable @7 :Bool;
+  permanent @8 :Bool; # alerts presented regardless of openpilot state
+  overrideLateral @10 :Bool;
+  overrideLongitudinal @9 :Bool;
+
+  enum EventName {
+    lkasEnable @0;
+    lkasDisable @1;
+    manualSteeringRequired @2;
+    manualLongitudinalRequired @3;
+    silentLkasEnable @4;
+    silentLkasDisable @5;
+    silentBrakeHold @6;
+    silentWrongGear @7;
+    silentReverseGear @8;
+    silentDoorOpen @9;
+    silentSeatbeltNotLatched @10;
+    silentParkBrake @11;
+    controlsMismatchLateral @12;
+    hyundaiRadarTracksConfirmed @13;
+    experimentalModeSwitched @14;
+  }
 }
 
-struct CustomReserved4 @0x80ae746ee2596b11 {
+struct CarParamsSP @0x80ae746ee2596b11 {
+  flags @0 :UInt32;  # flags for car specific quirks in sunnypilot
 }
 
 struct CustomReserved5 @0xa5cd762cd951a455 {
@@ -105,3 +152,33 @@ struct CustomReserved8 @0xf416ec09499d9d19 {
 
 struct CustomReserved9 @0xa1680744031fdb2d {
 }
+
+struct CustomReserved10 @0xcb9fd56c7057593a {
+}
+
+struct CustomReserved11 @0xc2243c65e0340384 {
+}
+
+struct CustomReserved12 @0x9ccdc8676701b412 {
+}
+
+struct CustomReserved13 @0xcd96dafb67a082d0 {
+}
+
+struct CustomReserved14 @0xb057204d7deadf3f {
+}
+
+struct CustomReserved15 @0xbd443b539493bc68 {
+}
+
+struct CustomReserved16 @0xfc6241ed8877b611 {
+}
+
+struct CustomReserved17 @0xa30662f84033036c {
+}
+
+struct CustomReserved18 @0xc86a3d38d13eb3ef {
+}
+
+struct CustomReserved19 @0xa4f1eb3323f5f582 {
+}

cereal/log.capnp

@@ -125,81 +125,6 @@ struct OnroadEvent @0xc4fa6047f024e718 {
     espActive @90;
     personalityChanged @91;
     aeb @92;
-    eventReserved93 @93;
-    eventReserved94 @94;
-    eventReserved95 @95;
-    eventReserved96 @96;
-    eventReserved97 @97;
-    eventReserved98 @98;
-    eventReserved99 @99;
-    eventReserved100 @100;
-    eventReserved101 @101;
-    eventReserved102 @102;
-    eventReserved103 @103;
-    eventReserved104 @104;
-    eventReserved105 @105;
-    eventReserved106 @106;
-    eventReserved107 @107;
-    eventReserved108 @108;
-    eventReserved109 @109;
-    eventReserved110 @110;
-    eventReserved111 @111;
-    eventReserved112 @112;
-    eventReserved113 @113;
-    eventReserved114 @114;
-    eventReserved115 @115;
-    eventReserved116 @116;
-    eventReserved117 @117;
-    eventReserved118 @118;
-    eventReserved119 @119;
-    eventReserved120 @120;
-    eventReserved121 @121;
-    eventReserved122 @122;
-    eventReserved123 @123;
-    eventReserved124 @124;
-    eventReserved125 @125;
-    eventReserved126 @126;
-    eventReserved127 @127;
-    eventReserved128 @128;
-    eventReserved129 @129;
-    eventReserved130 @130;
-    eventReserved131 @131;
-    eventReserved132 @132;
-    eventReserved133 @133;
-    eventReserved134 @134;
-    eventReserved135 @135;
-    eventReserved136 @136;
-    eventReserved137 @137;
-    eventReserved138 @138;
-    eventReserved139 @139;
-    eventReserved140 @140;
-    eventReserved141 @141;
-    eventReserved142 @142;
-    eventReserved143 @143;
-    eventReserved144 @144;
-    eventReserved145 @145;
-    eventReserved146 @146;
-    eventReserved147 @147;
-    eventReserved148 @148;
-    eventReserved149 @149;
-    eventReserved150 @150;
-
-    # sunnypilot
-    lkasEnable @151;
-    lkasDisable @152;
-    manualSteeringRequired @153;
-    manualLongitudinalRequired @154;
-    silentLkasEnable @155;
-    silentLkasDisable @156;
-    silentBrakeHold @157;
-    silentWrongGear @158;
-    silentReverseGear @159;
-    silentDoorOpen @160;
-    silentSeatbeltNotLatched @161;
-    silentParkBrake @162;
-    controlsMismatchLateral @163;
-    hyundaiRadarTracksConfirmed @164;
-    experimentalModeSwitched @165;
 
     soundsUnavailableDEPRECATED @47;
   }
@@ -665,7 +590,6 @@ struct PandaState @0xa7649e2575e4591e {
 
   # safety stuff
   controlsAllowed @3 :Bool;
-  controlsAllowedLat @5 :Bool;
   safetyRxInvalid @19 :UInt32;
   safetyTxBlocked @24 :UInt32;
   safetyModel @14 :Car.CarParams.SafetyModel;
@@ -773,6 +697,7 @@ struct PandaState @0xa7649e2575e4591e {
   }
 
   gasInterceptorDetectedDEPRECATED @4 :Bool;
+  startedSignalDetectedDEPRECATED @5 :Bool;
   hasGpsDEPRECATED @6 :Bool;
   gmlanSendErrsDEPRECATED @9 :UInt32;
   fanSpeedRpmDEPRECATED @11 :UInt16;
@@ -2629,21 +2554,37 @@ struct Event {
     livestreamWideRoadEncodeData @121 :EncodeData;
     livestreamDriverEncodeData @122 :EncodeData;
 
+    # *********** Custom: reserved for forks ***********
+
+    # DO change the name of the field
+    # DON'T change anything after the "@"
     customReservedRawData0 @124 :Data;
     customReservedRawData1 @125 :Data;
     customReservedRawData2 @126 :Data;
 
-    # *********** Custom: reserved for forks ***********
+    # DO change the name of the field and struct
+    # DON'T change the ID (e.g. @107)
+    # DON'T change which struct it points to
     selfdriveStateSP @107 :Custom.SelfdriveStateSP;
     modelManagerSP @108 :Custom.ModelManagerSP;
-    customReserved2 @109 :Custom.CustomReserved2;
-    customReserved3 @110 :Custom.CustomReserved3;
-    customReserved4 @111 :Custom.CustomReserved4;
+    longitudinalPlanSP @109 :Custom.LongitudinalPlanSP;
+    onroadEventsSP @110 :List(Custom.OnroadEventSP);
+    carParamsSP @111 :Custom.CarParamsSP;
     customReserved5 @112 :Custom.CustomReserved5;
     customReserved6 @113 :Custom.CustomReserved6;
     customReserved7 @114 :Custom.CustomReserved7;
     customReserved8 @115 :Custom.CustomReserved8;
     customReserved9 @116 :Custom.CustomReserved9;
+    customReserved10 @136 :Custom.CustomReserved10;
+    customReserved11 @137 :Custom.CustomReserved11;
+    customReserved12 @138 :Custom.CustomReserved12;
+    customReserved13 @139 :Custom.CustomReserved13;
+    customReserved14 @140 :Custom.CustomReserved14;
+    customReserved15 @141 :Custom.CustomReserved15;
+    customReserved16 @142 :Custom.CustomReserved16;
+    customReserved17 @143 :Custom.CustomReserved17;
+    customReserved18 @144 :Custom.CustomReserved18;
+    customReserved19 @145 :Custom.CustomReserved19;
 
     # *********** legacy + deprecated ***********
     model @9 :Legacy.ModelData; # TODO: rename modelV2 and mark this as deprecated

cereal/services.py

@@ -77,6 +77,9 @@ _services: dict[str, tuple] = {
   # sunnypilot
   "modelManagerSP": (False, 1., 1),
   "selfdriveStateSP": (True, 100., 10),
+  "longitudinalPlanSP": (True, 20., 10),
+  "onroadEventsSP": (True, 1., 1),
+  "carParamsSP": (True, 0.02, 1),
 
   # debug
   "uiDebug": (True, 0., 1),

common/params.cc

@@ -202,8 +202,13 @@ std::unordered_map<std::string, uint32_t> keys = {
 
     // --- sunnypilot params --- //
     {"ApiCache_DriveStats", PERSISTENT},
+    {"CarParamsSP", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
+    {"CarParamsSPCache", CLEAR_ON_MANAGER_START},
+    {"CarParamsSPPersistent", PERSISTENT},
     {"EnableGithubRunner", PERSISTENT | BACKUP},
     {"ModelRunnerTypeCache", CLEAR_ON_ONROAD_TRANSITION},
+    {"OffroadMode", CLEAR_ON_MANAGER_START},
+    {"OffroadMode_Status", CLEAR_ON_MANAGER_START},
 
     // MADS params
     {"Mads", PERSISTENT | BACKUP},
@@ -229,6 +234,8 @@ std::unordered_map<std::string, uint32_t> keys = {
     {"HyundaiRadarTracksConfirmed", PERSISTENT},
     {"HyundaiRadarTracksPersistent", PERSISTENT},
     {"HyundaiRadarTracksToggle", PERSISTENT},
+
+    {"DynamicExperimentalControl", PERSISTENT},
 };
 
 } // namespace

common/util.cc

@@ -294,4 +294,17 @@ std::string check_output(const std::string& command) {
   return result;
 }
 
+bool system_time_valid() {
+  // Default to August 26, 2024
+  tm min_tm = {.tm_year = 2024 - 1900, .tm_mon = 7, .tm_mday = 26};
+  time_t min_date = mktime(&min_tm);
+
+  struct stat st;
+  if (stat("/lib/systemd/systemd", &st) == 0) {
+    min_date = std::max(min_date, st.st_mtime + 86400);  // Add 1 day (86400 seconds)
+  }
+
+  return time(nullptr) > min_date;
+}
+
 }  // namespace util

common/util.h

@@ -96,6 +96,8 @@ bool create_directories(const std::string &dir, mode_t mode);
 
 std::string check_output(const std::string& command);
 
+bool system_time_valid();
+
 inline void sleep_for(const int milliseconds) {
   if (milliseconds > 0) {
     std::this_thread::sleep_for(std::chrono::milliseconds(milliseconds));

selfdrive/car/car_specific.py

@@ -191,7 +191,7 @@ class CarSpecificEvents:
       events.add(EventName.speedTooHigh)
     if CS.cruiseState.nonAdaptive:
       events.add(EventName.wrongCruiseMode)
-    if CS.brakeHoldActive and self.CP.openpilotLongitudinalControl and self.CP.carName != 'toyota':
+    if CS.brakeHoldActive and self.CP.openpilotLongitudinalControl:
       events.add(EventName.brakeHold)
     if CS.parkingBrake:
       events.add(EventName.parkBrake)

selfdrive/car/card.py

@@ -5,7 +5,7 @@ import threading
 
 import cereal.messaging as messaging
 
-from cereal import car, log
+from cereal import car, log, custom
 
 from panda import ALTERNATIVE_EXPERIENCE
 
@@ -21,9 +21,10 @@ from opendbc.car.interfaces import CarInterfaceBase, RadarInterfaceBase
 from openpilot.selfdrive.pandad import can_capnp_to_list, can_list_to_can_capnp
 from openpilot.selfdrive.car.cruise import VCruiseHelper
 from openpilot.selfdrive.car.car_specific import MockCarState
+from openpilot.selfdrive.car.helpers import convert_to_capnp
 
 from openpilot.sunnypilot.mads.mads import MadsParams
-from openpilot.sunnypilot.selfdrive.car.interfaces import setup_car_interface_sp, initialize_car_interface_sp
+from openpilot.sunnypilot.selfdrive.car import interfaces
 
 REPLAY = "REPLAY" in os.environ
 
@@ -66,12 +67,17 @@ class Car:
   CI: CarInterfaceBase
   RI: RadarInterfaceBase
   CP: car.CarParams
+  CP_SP: structs.CarParamsSP
+  CP_SP_capnp: custom.CarParamsSP
 
   def __init__(self, CI=None, RI=None) -> None:
     self.can_sock = messaging.sub_sock('can', timeout=20)
     self.sm = messaging.SubMaster(['pandaStates', 'carControl', 'onroadEvents'])
     self.pm = messaging.PubMaster(['sendcan', 'carState', 'carParams', 'carOutput', 'liveTracks'])
 
+    sock_services = list(self.pm.sock.keys()) + ['carParamsSP']
+    self.pm = messaging.PubMaster(sock_services)
+
     self.can_rcv_cum_timeout_counter = 0
 
     self.CC_prev = car.CarControl.new_message()
@@ -102,14 +108,15 @@ class Car:
           cached_params = _cached_params
 
       self.CI = get_car(*self.can_callbacks, obd_callback(self.params), experimental_long_allowed, num_pandas, cached_params)
-      setup_car_interface_sp(self.CI.CP, self.params)
-      self.RI = get_radar_interface(self.CI.CP)
+      interfaces.setup_car_interface_sp(self.CI.CP, self.CI.CP_SP, self.params)
+      self.RI = get_radar_interface(self.CI.CP, self.CI.CP_SP)
       self.CP = self.CI.CP
+      self.CP_SP = self.CI.CP_SP
 
       # continue onto next fingerprinting step in pandad
       self.params.put_bool("FirmwareQueryDone", True)
     else:
-      self.CI, self.CP = CI, CI.CP
+      self.CI, self.CP, self.CP_SP = CI, CI.CP, CI.CP_SP
       self.RI = RI
 
     # set alternative experiences from parameters
@@ -120,7 +127,10 @@ class Car:
 
     # mads
     MadsParams().set_alternative_experience(self.CP)
-    MadsParams().set_car_specific_params(self.CP)
+    MadsParams().set_car_specific_params(self.CP, self.CP_SP)
+
+    # Dynamic Experimental Control
+    self.dynamic_experimental_control = self.params.get_bool("DynamicExperimentalControl")
 
     openpilot_enabled_toggle = self.params.get_bool("OpenpilotEnabledToggle")
 
@@ -133,6 +143,15 @@ class Car:
       self.CP.safetyConfigs = [safety_config]
 
     if self.CP.secOcRequired and not self.params.get_bool("IsReleaseBranch"):
+      # Copy user key if available
+      try:
+        with open("/cache/params/SecOCKey") as f:
+          user_key = f.readline().strip()
+          if len(user_key) == 32:
+            self.params.put("SecOCKey", user_key)
+      except Exception:
+        pass
+
       secoc_key = self.params.get("SecOCKey", encoding='utf8')
       if secoc_key is not None:
         saved_secoc_key = bytes.fromhex(secoc_key.strip())
@@ -155,6 +174,14 @@ class Car:
     self.params.put_nonblocking("CarParamsCache", cp_bytes)
     self.params.put_nonblocking("CarParamsPersistent", cp_bytes)
 
+    # Write CarParamsSP for controls
+    # convert to pycapnp representation for caching and logging
+    self.CP_SP_capnp = convert_to_capnp(self.CP_SP)
+    cp_sp_bytes = self.CP_SP_capnp.to_bytes()
+    self.params.put("CarParamsSP", cp_sp_bytes)
+    self.params.put_nonblocking("CarParamsSPCache", cp_sp_bytes)
+    self.params.put_nonblocking("CarParamsSPPersistent", cp_sp_bytes)
+
     self.mock_carstate = MockCarState()
     self.v_cruise_helper = VCruiseHelper(self.CP)
 
@@ -164,6 +191,9 @@ class Car:
     # card is driven by can recv, expected at 100Hz
     self.rk = Ratekeeper(100, print_delay_threshold=None)
 
+    # log fingerprint in sentry
+    interfaces.log_fingerprint(self.CP)
+
   def state_update(self) -> tuple[car.CarState, structs.RadarDataT | None]:
     """carState update loop, driven by can"""
 
@@ -192,7 +222,7 @@ class Car:
     self.v_cruise_helper.update_v_cruise(CS, self.sm['carControl'].enabled, self.is_metric)
     if self.sm['carControl'].enabled and not self.CC_prev.enabled:
       # Use CarState w/ buttons from the step selfdrived enables on
-      self.v_cruise_helper.initialize_v_cruise(self.CS_prev, self.experimental_mode)
+      self.v_cruise_helper.initialize_v_cruise(self.CS_prev, self.experimental_mode, self.dynamic_experimental_control)
 
     # TODO: mirror the carState.cruiseState struct?
     CS.vCruise = float(self.v_cruise_helper.v_cruise_kph)
@@ -230,14 +260,21 @@ class Car:
       tracks_msg.liveTracks = RD
       self.pm.send('liveTracks', tracks_msg)
 
+    # carParamsSP - logged every 50 seconds (> 1 per segment)
+    if self.sm.frame % int(50. / DT_CTRL) == 0:
+      cp_sp_send = messaging.new_message('carParamsSP')
+      cp_sp_send.valid = True
+      cp_sp_send.carParamsSP = self.CP_SP_capnp
+      self.pm.send('carParamsSP', cp_sp_send)
+
   def controls_update(self, CS: car.CarState, CC: car.CarControl):
     """control update loop, driven by carControl"""
 
     if not self.initialized_prev:
       # Initialize CarInterface, once controls are ready
       # TODO: this can make us miss at least a few cycles when doing an ECU knockout
-      self.CI.init(self.CP, *self.can_callbacks)
-      initialize_car_interface_sp(self.CP, self.params, *self.can_callbacks)
+      self.CI.init(self.CP, self.CP_SP, *self.can_callbacks)
+      interfaces.initialize_car_interface_sp(self.CP, self.CP_SP, self.params, *self.can_callbacks)
       # signal pandad to switch to car safety mode
       self.params.put_bool_nonblocking("ControlsReady", True)
 
@@ -266,6 +303,10 @@ class Car:
     while not evt.is_set():
       self.is_metric = self.params.get_bool("IsMetric")
       self.experimental_mode = self.params.get_bool("ExperimentalMode") and self.CP.openpilotLongitudinalControl
+
+      # sunnypilot
+      self.dynamic_experimental_control = self.params.get_bool("DynamicExperimentalControl")
+
       time.sleep(0.1)
 
   def card_thread(self):

selfdrive/car/cruise.py

@@ -120,12 +120,13 @@ class VCruiseHelper:
         self.button_timers[b.type.raw] = 1 if b.pressed else 0
         self.button_change_states[b.type.raw] = {"standstill": CS.cruiseState.standstill, "enabled": enabled}
 
-  def initialize_v_cruise(self, CS, experimental_mode: bool) -> None:
+  def initialize_v_cruise(self, CS, experimental_mode: bool, dynamic_experimental_control: bool) -> None:
     # initializing is handled by the PCM
     if self.CP.pcmCruise:
       return
 
-    initial = V_CRUISE_INITIAL_EXPERIMENTAL_MODE if experimental_mode else V_CRUISE_INITIAL
+    initial_experimental_mode = experimental_mode and not dynamic_experimental_control
+    initial = V_CRUISE_INITIAL_EXPERIMENTAL_MODE if initial_experimental_mode else V_CRUISE_INITIAL
 
     if any(b.type in (ButtonType.accelCruise, ButtonType.resumeCruise) for b in CS.buttonEvents) and self.v_cruise_initialized:
       self.v_cruise_kph = self.v_cruise_kph_last

selfdrive/car/helpers.py

@@ -0,0 +1,46 @@
+import capnp
+from typing import Any
+
+from cereal import custom
+from opendbc.car import structs
+
+_FIELDS = '__dataclass_fields__'  # copy of dataclasses._FIELDS
+
+
+def is_dataclass(obj):
+  """Similar to dataclasses.is_dataclass without instance type check checking"""
+  return hasattr(obj, _FIELDS)
+
+
+def _asdictref_inner(obj) -> dict[str, Any] | Any:
+  if is_dataclass(obj):
+    ret = {}
+    for field in getattr(obj, _FIELDS):  # similar to dataclasses.fields()
+      ret[field] = _asdictref_inner(getattr(obj, field))
+    return ret
+  elif isinstance(obj, (tuple, list)):
+    return type(obj)(_asdictref_inner(v) for v in obj)
+  else:
+    return obj
+
+
+def asdictref(obj) -> dict[str, Any]:
+  """
+  Similar to dataclasses.asdict without recursive type checking and copy.deepcopy
+  Note that the resulting dict will contain references to the original struct as a result
+  """
+  if not is_dataclass(obj):
+    raise TypeError("asdictref() should be called on dataclass instances")
+
+  return _asdictref_inner(obj)
+
+
+def convert_to_capnp(struct: structs.CarParamsSP) -> capnp.lib.capnp._DynamicStructBuilder:
+  struct_dict = asdictref(struct)
+
+  if isinstance(struct, structs.CarParamsSP):
+    struct_capnp = custom.CarParamsSP.new_message(**struct_dict)
+  else:
+    raise ValueError(f"Unsupported struct type: {type(struct)}")
+
+  return struct_capnp

selfdrive/car/tests/test_car_interfaces.py

@@ -40,9 +40,12 @@ class TestCarInterfaces:
 
     car_params = CarInterface.get_params(car_name, args['fingerprints'], args['car_fw'],
                                          experimental_long=args['experimental_long'], docs=False)
+    car_params, car_params_sp = CarInterface.get_params_sp(car_params, car_name, args['fingerprints'], args['car_fw'],
+                                                           experimental_long=args['experimental_long'], docs=False)
     car_params = car_params.as_reader()
-    car_interface = CarInterface(car_params, CarController, CarState)
+    car_interface = CarInterface(car_params, car_params_sp, CarController, CarState)
     assert car_params
+    assert car_params_sp
     assert car_interface
 
     assert car_params.mass > 1

selfdrive/car/tests/test_cruise_speed.py

@@ -57,16 +57,16 @@ class TestVCruiseHelper:
     for _ in range(2):
       self.v_cruise_helper.update_v_cruise(car.CarState(cruiseState={"available": False}), enabled=False, is_metric=False)
 
-  def enable(self, v_ego, experimental_mode):
+  def enable(self, v_ego, experimental_mode, dynamic_experimental_control):
     # Simulates user pressing set with a current speed
-    self.v_cruise_helper.initialize_v_cruise(car.CarState(vEgo=v_ego), experimental_mode)
+    self.v_cruise_helper.initialize_v_cruise(car.CarState(vEgo=v_ego), experimental_mode, dynamic_experimental_control)
 
   def test_adjust_speed(self):
     """
     Asserts speed changes on falling edges of buttons.
     """
 
-    self.enable(V_CRUISE_INITIAL * CV.KPH_TO_MS, False)
+    self.enable(V_CRUISE_INITIAL * CV.KPH_TO_MS, False, False)
 
     for btn in (ButtonType.accelCruise, ButtonType.decelCruise):
       for pressed in (True, False):
@@ -90,7 +90,7 @@ class TestVCruiseHelper:
       CS.buttonEvents = [ButtonEvent(type=ButtonType.decelCruise, pressed=pressed)]
       self.v_cruise_helper.update_v_cruise(CS, enabled=enabled, is_metric=False)
       if pressed:
-        self.enable(V_CRUISE_INITIAL * CV.KPH_TO_MS, False)
+        self.enable(V_CRUISE_INITIAL * CV.KPH_TO_MS, False, False)
 
       # Expected diff on enabling. Speed should not change on falling edge of pressed
       assert not pressed == self.v_cruise_helper.v_cruise_kph == self.v_cruise_helper.v_cruise_kph_last
@@ -100,7 +100,7 @@ class TestVCruiseHelper:
     Asserts we don't increment set speed if user presses resume/accel to exit cruise standstill.
     """
 
-    self.enable(0, False)
+    self.enable(0, False, False)
 
     for standstill in (True, False):
       for pressed in (True, False):
@@ -120,7 +120,7 @@ class TestVCruiseHelper:
 
     for v_ego in np.linspace(0, 100, 101):
       self.reset_cruise_speed_state()
-      self.enable(V_CRUISE_INITIAL * CV.KPH_TO_MS, False)
+      self.enable(V_CRUISE_INITIAL * CV.KPH_TO_MS, False, False)
 
       # first decrement speed, then perform gas pressed logic
       expected_v_cruise_kph = self.v_cruise_helper.v_cruise_kph - IMPERIAL_INCREMENT
@@ -142,10 +142,11 @@ class TestVCruiseHelper:
     """
 
     for experimental_mode in (True, False):
-      for v_ego in np.linspace(0, 100, 101):
-        self.reset_cruise_speed_state()
-        assert not self.v_cruise_helper.v_cruise_initialized
+      for dynamic_experimental_control in (True, False):
+        for v_ego in np.linspace(0, 100, 101):
+          self.reset_cruise_speed_state()
+          assert not self.v_cruise_helper.v_cruise_initialized
 
-        self.enable(float(v_ego), experimental_mode)
-        assert V_CRUISE_INITIAL <= self.v_cruise_helper.v_cruise_kph <= V_CRUISE_MAX
-        assert self.v_cruise_helper.v_cruise_initialized
+          self.enable(float(v_ego), experimental_mode, dynamic_experimental_control)
+          assert V_CRUISE_INITIAL <= self.v_cruise_helper.v_cruise_kph <= V_CRUISE_MAX
+          assert self.v_cruise_helper.v_cruise_initialized

selfdrive/car/tests/test_models.py

@@ -1,4 +1,5 @@
 import capnp
+import copy
 import os
 import pytest
 import random
@@ -158,7 +159,9 @@ class TestCarModelBase(unittest.TestCase):
 
     cls.CarInterface, cls.CarController, cls.CarState, cls.RadarInterface = interfaces[cls.platform]
     cls.CP = cls.CarInterface.get_params(cls.platform,  cls.fingerprint, car_fw, experimental_long, docs=False)
+    cls.CP, cls.CP_SP = cls.CarInterface.get_params_sp(cls.CP, cls.platform,  cls.fingerprint, car_fw, experimental_long, docs=False)
     assert cls.CP
+    assert cls.CP_SP
     assert cls.CP.carFingerprint == cls.platform
 
     os.environ["COMMA_CACHE"] = DEFAULT_DOWNLOAD_CACHE_ROOT
@@ -168,7 +171,7 @@ class TestCarModelBase(unittest.TestCase):
     del cls.can_msgs
 
   def setUp(self):
-    self.CI = self.CarInterface(self.CP.copy(), self.CarController, self.CarState)
+    self.CI = self.CarInterface(self.CP.copy(), copy.deepcopy(self.CP_SP), self.CarController, self.CarState)
     assert self.CI
 
     Params().put_bool("OpenpilotEnabledToggle", self.openpilot_enabled)
@@ -217,7 +220,7 @@ class TestCarModelBase(unittest.TestCase):
     self.assertEqual(can_invalid_cnt, 0)
 
   def test_radar_interface(self):
-    RI = self.RadarInterface(self.CP)
+    RI = self.RadarInterface(self.CP, self.CP_SP)
     assert RI
 
     # Since OBD port is multiplexed to bus 1 (commonly radar bus) while fingerprinting,
@@ -277,7 +280,7 @@ class TestCarModelBase(unittest.TestCase):
     def test_car_controller(car_control):
       now_nanos = 0
       msgs_sent = 0
-      CI = self.CarInterface(self.CP, self.CarController, self.CarState)
+      CI = self.CarInterface(self.CP, self.CP_SP, self.CarController, self.CarState)
       for _ in range(round(10.0 / DT_CTRL)):  # make sure we hit the slowest messages
         CI.update([])
         _, sendcan = CI.apply(car_control, now_nanos)
@@ -387,7 +390,7 @@ class TestCarModelBase(unittest.TestCase):
     controls_allowed_prev = False
     CS_prev = car.CarState.new_message()
     checks = defaultdict(int)
-    selfdrived = SelfdriveD(CP=self.CP)
+    selfdrived = SelfdriveD(CP=self.CP, CP_SP=self.CP_SP)
     selfdrived.initialized = True
     for idx, can in enumerate(self.can_msgs):
       CS = self.CI.update(can_capnp_to_list((can.as_builder().to_bytes(), ))).as_reader()

selfdrive/controls/controlsd.py

@@ -2,7 +2,7 @@
 import math
 from typing import SupportsFloat
 
-from cereal import car, log
+from cereal import car, log, custom
 import cereal.messaging as messaging
 from openpilot.common.conversions import Conversions as CV
 from openpilot.common.params import Params
@@ -34,7 +34,11 @@ class Controls:
     self.CP = messaging.log_from_bytes(self.params.get("CarParams", block=True), car.CarParams)
     cloudlog.info("controlsd got CarParams")
 
-    self.CI = get_car_interface(self.CP)
+    cloudlog.info("controlsd is waiting for CarParamsSP")
+    self.CP_SP = messaging.log_from_bytes(self.params.get("CarParamsSP", block=True), custom.CarParamsSP)
+    cloudlog.info("controlsd got CarParamsSP")
+
+    self.CI = get_car_interface(self.CP, self.CP_SP)
 
     self.sm = messaging.SubMaster(['liveParameters', 'liveTorqueParameters', 'modelV2', 'selfdriveState',
                                    'liveCalibration', 'livePose', 'longitudinalPlan', 'carState', 'carOutput',

selfdrive/controls/lib/longitudinal_planner.py

@@ -15,6 +15,8 @@ from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N, get_speed_
 from openpilot.selfdrive.car.cruise import V_CRUISE_MAX, V_CRUISE_UNSET
 from openpilot.common.swaglog import cloudlog
 
+from openpilot.sunnypilot.selfdrive.controls.lib.longitudinal_planner import LongitudinalPlannerSP
+
 LON_MPC_STEP = 0.2  # first step is 0.2s
 A_CRUISE_MIN = -1.2
 A_CRUISE_MAX_VALS = [1.6, 1.2, 0.8, 0.6]
@@ -66,10 +68,11 @@ def get_accel_from_plan(speeds, accels, action_t=DT_MDL, vEgoStopping=0.05):
   return a_target, should_stop
 
 
-class LongitudinalPlanner:
+class LongitudinalPlanner(LongitudinalPlannerSP):
   def __init__(self, CP, init_v=0.0, init_a=0.0, dt=DT_MDL):
     self.CP = CP
     self.mpc = LongitudinalMpc(dt=dt)
+    LongitudinalPlannerSP.__init__(self, self.CP, self.mpc)
     self.fcw = False
     self.dt = dt
     self.allow_throttle = True
@@ -104,7 +107,10 @@ class LongitudinalPlanner:
     return x, v, a, j, throttle_prob
 
   def update(self, sm):
+    LongitudinalPlannerSP.update(self, sm)
     self.mpc.mode = 'blended' if sm['selfdriveState'].experimentalMode else 'acc'
+    if dec_mpc_mode := self.get_mpc_mode():
+      self.mpc.mode = dec_mpc_mode
 
     if len(sm['carControl'].orientationNED) == 3:
       accel_coast = get_coast_accel(sm['carControl'].orientationNED[1])
@@ -205,3 +211,5 @@ class LongitudinalPlanner:
     longitudinalPlan.allowThrottle = bool(self.allow_throttle)
 
     pm.send('longitudinalPlan', plan_send)
+
+    self.publish_longitudinal_plan_sp(sm, pm)

selfdrive/controls/lib/tests/test_latcontrol.py

@@ -19,7 +19,8 @@ class TestLatControl:
   def test_saturation(self, car_name, controller):
     CarInterface, CarController, CarState, RadarInterface = interfaces[car_name]
     CP = CarInterface.get_non_essential_params(car_name)
-    CI = CarInterface(CP, CarController, CarState)
+    CP, CP_SP = CarInterface.get_non_essential_params_sp(CP, car_name)
+    CI = CarInterface(CP, CP_SP, CarController, CarState)
     VM = VehicleModel(CP)
 
     controller = controller(CP.as_reader(), CI)

selfdrive/controls/plannerd.py

@@ -18,7 +18,7 @@ def main():
 
   ldw = LaneDepartureWarning()
   longitudinal_planner = LongitudinalPlanner(CP)
-  pm = messaging.PubMaster(['longitudinalPlan', 'driverAssistance'])
+  pm = messaging.PubMaster(['longitudinalPlan', 'driverAssistance', 'longitudinalPlanSP'])
   sm = messaging.SubMaster(['carControl', 'carState', 'controlsState', 'liveParameters', 'radarState', 'modelV2', 'selfdriveState'],
                            poll='modelV2', ignore_avg_freq=['radarState'])
 

selfdrive/modeld/__init__.py

@@ -0,0 +1,5 @@
+from pathlib import Path
+
+MODEL_PATH = Path(__file__).parent / 'models/supercombo.onnx'
+MODEL_PKL_PATH = Path(__file__).parent / 'models/supercombo_tinygrad.pkl'
+METADATA_PATH = Path(__file__).parent / 'models/supercombo_metadata.pkl'

selfdrive/modeld/fill_model_msg.py

@@ -1,14 +1,35 @@
 import os
+
 import capnp
 import numpy as np
+from openpilot.selfdrive.controls.lib.drive_helpers import MIN_SPEED
+from openpilot.selfdrive.modeld.constants import ModelConstants, Plan
+
 from cereal import log
-from openpilot.selfdrive.modeld.constants import ModelConstants, Plan, Meta
 
 SEND_RAW_PRED = os.getenv('SEND_RAW_PRED')
 
 ConfidenceClass = log.ModelDataV2.ConfidenceClass
 
 
+def curv_from_psis(psi_target, psi_rate, vego, delay):
+  vego = np.clip(vego, MIN_SPEED, np.inf)
+  curv_from_psi = psi_target / (vego * delay)  # epsilon to prevent divide-by-zero
+  return 2 * curv_from_psi - psi_rate / vego
+
+
+def get_curvature_from_plan(plan, vego, delay):
+  psi_target = np.interp(delay, ModelConstants.T_IDXS, plan[:, Plan.T_FROM_CURRENT_EULER][:, 2])
+  psi_rate = plan[:, Plan.ORIENTATION_RATE][0, 2]
+  return curv_from_psis(psi_target, psi_rate, vego, delay)
+
+
+def get_curvature_from_output(output, vego, delay):
+  if desired_curv := output.get('desired_curvature'):  # If the model outputs the desired curvature, use that directly
+    return float(desired_curv[0, 0])
+
+  return float(get_curvature_from_plan(output['plan'][0], vego, delay))
+
 class PublishState:
   def __init__(self):
     self.disengage_buffer = np.zeros(ModelConstants.CONFIDENCE_BUFFER_LEN*ModelConstants.DISENGAGE_WIDTH, dtype=np.float32)
@@ -59,12 +80,14 @@ def fill_model_msg(base_msg: capnp._DynamicStructBuilder, extended_msg: capnp._D
                    net_output_data: dict[str, np.ndarray], v_ego: float, delay: float,
                    publish_state: PublishState, vipc_frame_id: int, vipc_frame_id_extra: int,
                    frame_id: int, frame_drop: float, timestamp_eof: int, model_execution_time: float,
-                   valid: bool) -> None:
+                   valid: bool, model_meta) -> None:
   frame_age = frame_id - vipc_frame_id if frame_id > vipc_frame_id else 0
   frame_drop_perc = frame_drop * 100
   extended_msg.valid = valid
   base_msg.valid = valid
 
+  desired_curv = float(get_curvature_from_output(net_output_data, v_ego, delay))
+
   driving_model_data = base_msg.drivingModelData
 
   driving_model_data.frameId = vipc_frame_id
@@ -73,7 +96,7 @@ def fill_model_msg(base_msg: capnp._DynamicStructBuilder, extended_msg: capnp._D
   driving_model_data.modelExecutionTime = model_execution_time
 
   action = driving_model_data.action
-  action.desiredCurvature = float(net_output_data['desired_curvature'][0,0])
+  action.desiredCurvature = desired_curv
 
   modelV2 = extended_msg.modelV2
   modelV2.frameId = vipc_frame_id
@@ -108,7 +131,7 @@ def fill_model_msg(base_msg: capnp._DynamicStructBuilder, extended_msg: capnp._D
 
   # lateral planning
   action = modelV2.action
-  action.desiredCurvature = float(net_output_data['desired_curvature'][0,0])
+  action.desiredCurvature = desired_curv
 
   # times at X_IDXS according to model plan
   PLAN_T_IDXS = [np.nan] * ModelConstants.IDX_N
@@ -159,23 +182,25 @@ def fill_model_msg(base_msg: capnp._DynamicStructBuilder, extended_msg: capnp._D
   meta = modelV2.meta
   meta.desireState = net_output_data['desire_state'][0].reshape(-1).tolist()
   meta.desirePrediction = net_output_data['desire_pred'][0].reshape(-1).tolist()
-  meta.engagedProb = net_output_data['meta'][0,Meta.ENGAGED].item()
+  meta.engagedProb = net_output_data['meta'][0,model_meta.ENGAGED].item()
   meta.init('disengagePredictions')
   disengage_predictions = meta.disengagePredictions
   disengage_predictions.t = ModelConstants.META_T_IDXS
-  disengage_predictions.brakeDisengageProbs = net_output_data['meta'][0,Meta.BRAKE_DISENGAGE].tolist()
-  disengage_predictions.gasDisengageProbs = net_output_data['meta'][0,Meta.GAS_DISENGAGE].tolist()
-  disengage_predictions.steerOverrideProbs = net_output_data['meta'][0,Meta.STEER_OVERRIDE].tolist()
-  disengage_predictions.brake3MetersPerSecondSquaredProbs = net_output_data['meta'][0,Meta.HARD_BRAKE_3].tolist()
-  disengage_predictions.brake4MetersPerSecondSquaredProbs = net_output_data['meta'][0,Meta.HARD_BRAKE_4].tolist()
-  disengage_predictions.brake5MetersPerSecondSquaredProbs = net_output_data['meta'][0,Meta.HARD_BRAKE_5].tolist()
-  #disengage_predictions.gasPressProbs = net_output_data['meta'][0,Meta.GAS_PRESS].tolist()
-  #disengage_predictions.brakePressProbs = net_output_data['meta'][0,Meta.BRAKE_PRESS].tolist()
+  disengage_predictions.brakeDisengageProbs = net_output_data['meta'][0,model_meta.BRAKE_DISENGAGE].tolist()
+  disengage_predictions.gasDisengageProbs = net_output_data['meta'][0,model_meta.GAS_DISENGAGE].tolist()
+  disengage_predictions.steerOverrideProbs = net_output_data['meta'][0,model_meta.STEER_OVERRIDE].tolist()
+  disengage_predictions.brake3MetersPerSecondSquaredProbs = net_output_data['meta'][0,model_meta.HARD_BRAKE_3].tolist()
+  disengage_predictions.brake4MetersPerSecondSquaredProbs = net_output_data['meta'][0,model_meta.HARD_BRAKE_4].tolist()
+  disengage_predictions.brake5MetersPerSecondSquaredProbs = net_output_data['meta'][0,model_meta.HARD_BRAKE_5].tolist()
+
+  if hasattr(model_meta, 'GAS_PRESS') and hasattr(model_meta, 'BRAKE_PRESS'):
+    disengage_predictions.gasPressProbs = net_output_data['meta'][0,model_meta.GAS_PRESS].tolist()
+    disengage_predictions.brakePressProbs = net_output_data['meta'][0,model_meta.BRAKE_PRESS].tolist()
 
   publish_state.prev_brake_5ms2_probs[:-1] = publish_state.prev_brake_5ms2_probs[1:]
-  publish_state.prev_brake_5ms2_probs[-1] = net_output_data['meta'][0,Meta.HARD_BRAKE_5][0]
+  publish_state.prev_brake_5ms2_probs[-1] = net_output_data['meta'][0,model_meta.HARD_BRAKE_5][0]
   publish_state.prev_brake_3ms2_probs[:-1] = publish_state.prev_brake_3ms2_probs[1:]
-  publish_state.prev_brake_3ms2_probs[-1] = net_output_data['meta'][0,Meta.HARD_BRAKE_3][0]
+  publish_state.prev_brake_3ms2_probs[-1] = net_output_data['meta'][0,model_meta.HARD_BRAKE_3][0]
   hard_brake_predicted = (publish_state.prev_brake_5ms2_probs > ModelConstants.FCW_THRESHOLDS_5MS2).all() and \
     (publish_state.prev_brake_3ms2_probs > ModelConstants.FCW_THRESHOLDS_3MS2).all()
   meta.hardBrakePredicted = hard_brake_predicted.item()
@@ -183,9 +208,9 @@ def fill_model_msg(base_msg: capnp._DynamicStructBuilder, extended_msg: capnp._D
   # confidence
   if vipc_frame_id % (2*ModelConstants.MODEL_FREQ) == 0:
     # any disengage prob
-    brake_disengage_probs = net_output_data['meta'][0,Meta.BRAKE_DISENGAGE]
-    gas_disengage_probs = net_output_data['meta'][0,Meta.GAS_DISENGAGE]
-    steer_override_probs = net_output_data['meta'][0,Meta.STEER_OVERRIDE]
+    brake_disengage_probs = net_output_data['meta'][0,model_meta.BRAKE_DISENGAGE]
+    gas_disengage_probs = net_output_data['meta'][0,model_meta.GAS_DISENGAGE]
+    steer_override_probs = net_output_data['meta'][0,model_meta.STEER_OVERRIDE]
     any_disengage_probs = 1-((1-brake_disengage_probs)*(1-gas_disengage_probs)*(1-steer_override_probs))
     # independent disengage prob for each 2s slice
     ind_disengage_probs = np.r_[any_disengage_probs[0], np.diff(any_disengage_probs) / (1 - any_disengage_probs[:-1])]

selfdrive/modeld/modeld.py

@@ -1,21 +1,13 @@
 #!/usr/bin/env python3
-import os
 from openpilot.system.hardware import TICI
 
+from openpilot.sunnypilot.modeld_v2.model_runner import ONNXRunner, TinygradRunner
+
 #
-if TICI:
-  from tinygrad.tensor import Tensor
-  from tinygrad.dtype import dtypes
-  from openpilot.selfdrive.modeld.runners.tinygrad_helpers import qcom_tensor_from_opencl_address
-  os.environ['QCOM'] = '1'
-else:
-  from openpilot.selfdrive.modeld.runners.ort_helpers import make_onnx_cpu_runner
 import time
-import pickle
 import numpy as np
 import cereal.messaging as messaging
 from cereal import car, log
-from pathlib import Path
 from setproctitle import setproctitle
 from cereal.messaging import PubMaster, SubMaster
 from msgq.visionipc import VisionIpcClient, VisionStreamType, VisionBuf
@@ -33,13 +25,10 @@ from openpilot.selfdrive.modeld.fill_model_msg import fill_model_msg, fill_pose_
 from openpilot.selfdrive.modeld.constants import ModelConstants
 from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrame, CLContext
 
+from sunnypilot.modeld_v2.meta_helper import load_meta_constants
 
 PROCESS_NAME = "selfdrive.modeld.modeld"
-SEND_RAW_PRED = os.getenv('SEND_RAW_PRED')
 
-MODEL_PATH = Path(__file__).parent / 'models/supercombo.onnx'
-MODEL_PKL_PATH = Path(__file__).parent / 'models/supercombo_tinygrad.pkl'
-METADATA_PATH = Path(__file__).parent / 'models/supercombo_metadata.pkl'
 
 class FrameMeta:
   frame_id: int = 0
@@ -57,81 +46,91 @@ class ModelState:
   prev_desire: np.ndarray  # for tracking the rising edge of the pulse
 
   def __init__(self, context: CLContext):
-    self.frames = {'input_imgs': DrivingModelFrame(context), 'big_input_imgs': DrivingModelFrame(context)}
+    try:
+      self.model_runner = TinygradRunner() if TICI else ONNXRunner()
+    except Exception as e:
+      cloudlog.exception(f"Failed to initialize model runner: {str(e)}")
+
+    buffer_length = 5 if self.model_runner.is_20hz else 2
+    self.frames = {'input_imgs': DrivingModelFrame(context, buffer_length), 'big_input_imgs': DrivingModelFrame(context, buffer_length)}
     self.prev_desire = np.zeros(ModelConstants.DESIRE_LEN, dtype=np.float32)
+    if self.model_runner.is_20hz:
+      self.full_features_20Hz = np.zeros((ModelConstants.FULL_HISTORY_BUFFER_LEN, ModelConstants.FEATURE_LEN), dtype=np.float32)
+      self.desire_20Hz = np.zeros((ModelConstants.FULL_HISTORY_BUFFER_LEN + 1, ModelConstants.DESIRE_LEN), dtype=np.float32)
+    # Initialize model runner
 
     # img buffers are managed in openCL transform code
-    self.numpy_inputs = {
-      'desire': np.zeros((1, (ModelConstants.FULL_HISTORY_BUFFER_LEN+1), ModelConstants.DESIRE_LEN), dtype=np.float32),
-      'traffic_convention': np.zeros((1, ModelConstants.TRAFFIC_CONVENTION_LEN), dtype=np.float32),
-      'lateral_control_params': np.zeros((1, ModelConstants.LATERAL_CONTROL_PARAMS_LEN), dtype=np.float32),
-      'prev_desired_curv': np.zeros((1, (ModelConstants.FULL_HISTORY_BUFFER_LEN+1), ModelConstants.PREV_DESIRED_CURV_LEN), dtype=np.float32),
-      'features_buffer': np.zeros((1, ModelConstants.FULL_HISTORY_BUFFER_LEN,  ModelConstants.FEATURE_LEN), dtype=np.float32),
-    }
+    self.numpy_inputs = {}
 
-    with open(METADATA_PATH, 'rb') as f:
-      model_metadata = pickle.load(f)
-    self.input_shapes =  model_metadata['input_shapes']
+    for key, shape in self.model_runner.input_shapes.items():
+      if key not in self.frames: # Managed by opencl
+        self.numpy_inputs[key] = np.zeros(shape, dtype=np.float32)
 
-    self.output_slices = model_metadata['output_slices']
-    net_output_size = model_metadata['output_shapes']['outputs'][1]
-    self.output = np.zeros(net_output_size, dtype=np.float32)
     self.parser = Parser()
 
-    if TICI:
-      self.tensor_inputs = {k: Tensor(v, device='NPY').realize() for k,v in self.numpy_inputs.items()}
-      with open(MODEL_PKL_PATH, "rb") as f:
-        self.model_run = pickle.load(f)
-    else:
-      self.onnx_cpu_runner = make_onnx_cpu_runner(MODEL_PATH)
+    if self.model_runner.is_20hz:
+      net_output_size = self.model_runner.model_metadata['output_shapes']['outputs'][1]
+      self.output = np.zeros(net_output_size, dtype=np.float32)
 
-  def slice_outputs(self, model_outputs: np.ndarray) -> dict[str, np.ndarray]:
-    parsed_model_outputs = {k: model_outputs[np.newaxis, v] for k,v in self.output_slices.items()}
-    if SEND_RAW_PRED:
-      parsed_model_outputs['raw_pred'] = model_outputs.copy()
-    return parsed_model_outputs
+      num_elements = self.numpy_inputs['features_buffer'].shape[1]
+      step_size = int(-100 / num_elements)
+      self.full_features_20Hz_idxs = np.arange(step_size, step_size * (num_elements + 1), step_size)[::-1]
+      self.desire_reshape_dims = (self.numpy_inputs['desire'].shape[0], self.numpy_inputs['desire'].shape[1], -1, self.numpy_inputs['desire'].shape[2])
 
   def run(self, buf: VisionBuf, wbuf: VisionBuf, transform: np.ndarray, transform_wide: np.ndarray,
-                inputs: dict[str, np.ndarray], prepare_only: bool) -> dict[str, np.ndarray] | None:
+          inputs: dict[str, np.ndarray], prepare_only: bool) -> dict[str, np.ndarray] | None:
     # Model decides when action is completed, so desire input is just a pulse triggered on rising edge
     inputs['desire'][0] = 0
     new_desire = np.where(inputs['desire'] - self.prev_desire > .99, inputs['desire'], 0)
     self.prev_desire[:] = inputs['desire']
 
-    self.numpy_inputs['desire'][0,:-1] = self.numpy_inputs['desire'][0,1:]
-    self.numpy_inputs['desire'][0,-1] = new_desire
+    if self.model_runner.is_20hz:
+      self.desire_20Hz[:-1] = self.desire_20Hz[1:]
+      self.desire_20Hz[-1] = new_desire
+      self.numpy_inputs['desire'][:] = self.desire_20Hz.reshape(self.desire_reshape_dims).max(axis=2)
+    else:
+      length = inputs['desire'].shape[0]
+      self.numpy_inputs['desire'][0, :-1] = self.numpy_inputs['desire'][0, 1:]
+      self.numpy_inputs['desire'][0, -1, :length] = new_desire[:length]
+
+    for key in self.numpy_inputs:
+      if key in inputs and key not in ['desire']:
+        self.numpy_inputs[key][:] = inputs[key]
 
-    self.numpy_inputs['traffic_convention'][:] = inputs['traffic_convention']
-    self.numpy_inputs['lateral_control_params'][:] = inputs['lateral_control_params']
     imgs_cl = {'input_imgs': self.frames['input_imgs'].prepare(buf, transform.flatten()),
                'big_input_imgs': self.frames['big_input_imgs'].prepare(wbuf, transform_wide.flatten())}
 
-    if TICI:
-      # The imgs tensors are backed by opencl memory, only need init once
-      for key in imgs_cl:
-        if key not in self.tensor_inputs:
-          self.tensor_inputs[key] = qcom_tensor_from_opencl_address(imgs_cl[key].mem_address, self.input_shapes[key], dtype=dtypes.uint8)
-    else:
-      for key in imgs_cl:
-        self.numpy_inputs[key] = self.frames[key].buffer_from_cl(imgs_cl[key]).reshape(self.input_shapes[key]).astype(dtype=np.float32)
+    # Prepare inputs using the model runner
+    self.model_runner.prepare_inputs(imgs_cl, self.numpy_inputs, self.frames)
 
     if prepare_only:
       return None
 
-    if TICI:
-      self.output = self.model_run(**self.tensor_inputs).numpy().flatten()
+    # Run model inference
+    self.output = self.model_runner.run_model()
+    outputs = self.parser.parse_outputs(self.model_runner.slice_outputs(self.output))
+
+    if self.model_runner.is_20hz:
+      self.full_features_20Hz[:-1] = self.full_features_20Hz[1:]
+      self.full_features_20Hz[-1] = outputs['hidden_state'][0, :]
+      self.numpy_inputs['features_buffer'][:] = self.full_features_20Hz[self.full_features_20Hz_idxs]
     else:
-      self.output = self.onnx_cpu_runner.run(None, self.numpy_inputs)[0].flatten()
+      feature_len = outputs['hidden_state'].shape[1]
+      self.numpy_inputs['features_buffer'][0, :-1] = self.numpy_inputs['features_buffer'][0, 1:]
+      self.numpy_inputs['features_buffer'][0, -1, :feature_len] = outputs['hidden_state'][0, :feature_len]
 
-    outputs = self.parser.parse_outputs(self.slice_outputs(self.output))
+    if "desired_curvature" in outputs:
+      input_name_prev = None
 
-    self.numpy_inputs['features_buffer'][0,:-1] = self.numpy_inputs['features_buffer'][0,1:]
-    self.numpy_inputs['features_buffer'][0,-1] = outputs['hidden_state'][0, :]
+      if "prev_desired_curvs" in self.numpy_inputs.keys():
+        input_name_prev = 'prev_desired_curvs'
+      elif "prev_desired_curv" in self.numpy_inputs.keys():
+        input_name_prev = 'prev_desired_curv'
 
-
-    # TODO model only uses last value now
-    self.numpy_inputs['prev_desired_curv'][0,:-1] = self.numpy_inputs['prev_desired_curv'][0,1:]
-    self.numpy_inputs['prev_desired_curv'][0,-1,:] = outputs['desired_curvature'][0, :]
+      if input_name_prev is not None:
+        length = outputs['desired_curvature'][0].size
+        self.numpy_inputs[input_name_prev][0, :-length, 0] = self.numpy_inputs[input_name_prev][0, length:, 0]
+        self.numpy_inputs[input_name_prev][0, -length:, 0] = outputs['desired_curvature'][0]
     return outputs
 
 
@@ -242,7 +241,6 @@ def main(demo=False):
     is_rhd = sm["driverMonitoringState"].isRHD
     frame_id = sm["roadCameraState"].frameId
     v_ego = max(sm["carState"].vEgo, 0.)
-    lateral_control_params = np.array([v_ego, steer_delay], dtype=np.float32)
     if sm.updated["liveCalibration"] and sm.seen['roadCameraState'] and sm.seen['deviceState']:
       device_from_calib_euler = np.array(sm["liveCalibration"].rpyCalib, dtype=np.float32)
       dc = DEVICE_CAMERAS[(str(sm['deviceState'].deviceType), str(sm['roadCameraState'].sensor))]
@@ -273,8 +271,10 @@ def main(demo=False):
     inputs:dict[str, np.ndarray] = {
       'desire': vec_desire,
       'traffic_convention': traffic_convention,
-      'lateral_control_params': lateral_control_params,
-      }
+    }
+
+    if "lateral_control_params" in model.numpy_inputs.keys():
+      inputs['lateral_control_params'] = np.array([v_ego, steer_delay], dtype=np.float32)
 
     mt1 = time.perf_counter()
     model_output = model.run(buf_main, buf_extra, model_transform_main, model_transform_extra, inputs, prepare_only)
@@ -287,7 +287,7 @@ def main(demo=False):
       posenet_send = messaging.new_message('cameraOdometry')
       fill_model_msg(drivingdata_send, modelv2_send, model_output, v_ego, steer_delay,
                      publish_state, meta_main.frame_id, meta_extra.frame_id, frame_id,
-                     frame_drop_ratio, meta_main.timestamp_eof, model_execution_time, live_calib_seen)
+                     frame_drop_ratio, meta_main.timestamp_eof, model_execution_time, live_calib_seen, load_meta_constants())
 
       desire_state = modelv2_send.modelV2.meta.desireState
       l_lane_change_prob = desire_state[log.Desire.laneChangeLeft]

selfdrive/modeld/models/commonmodel.cc

@@ -5,13 +5,14 @@
 
 #include "common/clutil.h"
 
-DrivingModelFrame::DrivingModelFrame(cl_device_id device_id, cl_context context) : ModelFrame(device_id, context) {
+DrivingModelFrame::DrivingModelFrame(cl_device_id device_id, cl_context context, uint8_t buffer_length) : ModelFrame(device_id, context), buffer_length(buffer_length) {
   input_frames = std::make_unique<uint8_t[]>(buf_size);
   input_frames_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, buf_size, NULL, &err));
-  img_buffer_20hz_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, 2*frame_size_bytes, NULL, &err));
-  region.origin = 1 * frame_size_bytes;
+  img_buffer_20hz_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, buffer_length*frame_size_bytes, NULL, &err));
+  region.origin = (buffer_length - 1)  * frame_size_bytes;
   region.size = frame_size_bytes;
   last_img_cl = CL_CHECK_ERR(clCreateSubBuffer(img_buffer_20hz_cl, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err));
+  // printf("Buffer length: %d, region origin: %lu, region size: %lu\n", buffer_length, region.origin, region.size);
 
   loadyuv_init(&loadyuv, context, device_id, MODEL_WIDTH, MODEL_HEIGHT);
   init_transform(device_id, context, MODEL_WIDTH, MODEL_HEIGHT);
@@ -20,7 +21,7 @@ DrivingModelFrame::DrivingModelFrame(cl_device_id device_id, cl_context context)
 cl_mem* DrivingModelFrame::prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection) {
   run_transform(yuv_cl, MODEL_WIDTH, MODEL_HEIGHT, frame_width, frame_height, frame_stride, frame_uv_offset, projection);
 
-  for (int i = 0; i < 1; i++) {
+  for (int i = 0; i < (buffer_length - 1); i++) {
     CL_CHECK(clEnqueueCopyBuffer(q, img_buffer_20hz_cl, img_buffer_20hz_cl, (i+1)*frame_size_bytes, i*frame_size_bytes, frame_size_bytes, 0, nullptr, nullptr));
   }
   loadyuv_queue(&loadyuv, q, y_cl, u_cl, v_cl, last_img_cl);

selfdrive/modeld/models/commonmodel.h

@@ -64,7 +64,7 @@ protected:
 
 class DrivingModelFrame : public ModelFrame {
 public:
-  DrivingModelFrame(cl_device_id device_id, cl_context context);
+  DrivingModelFrame(cl_device_id device_id, cl_context context, uint8_t buffer_length);
   ~DrivingModelFrame();
   cl_mem* prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection);
 
@@ -73,6 +73,7 @@ public:
   const int MODEL_FRAME_SIZE = MODEL_WIDTH * MODEL_HEIGHT * 3 / 2;
   const int buf_size = MODEL_FRAME_SIZE * 2;
   const size_t frame_size_bytes = MODEL_FRAME_SIZE * sizeof(uint8_t);
+  const uint8_t buffer_length;
 
 private:
   LoadYUVState loadyuv;

selfdrive/modeld/models/commonmodel.pxd

@@ -20,7 +20,7 @@ cdef extern from "selfdrive/modeld/models/commonmodel.h":
 
   cppclass DrivingModelFrame:
     int buf_size
-    DrivingModelFrame(cl_device_id, cl_context)
+    DrivingModelFrame(cl_device_id, cl_context, unsigned char)
 
   cppclass MonitoringModelFrame:
     int buf_size

selfdrive/modeld/models/commonmodel_pyx.pyx

@@ -4,7 +4,7 @@
 import numpy as np
 cimport numpy as cnp
 from libc.string cimport memcpy
-from libc.stdint cimport uintptr_t
+from libc.stdint cimport uintptr_t, uint8_t
 
 from msgq.visionipc.visionipc cimport cl_mem
 from msgq.visionipc.visionipc_pyx cimport VisionBuf, CLContext as BaseCLContext
@@ -59,8 +59,8 @@ cdef class ModelFrame:
 cdef class DrivingModelFrame(ModelFrame):
   cdef cppDrivingModelFrame * _frame
 
-  def __cinit__(self, CLContext context):
-    self._frame = new cppDrivingModelFrame(context.device_id, context.context)
+  def __cinit__(self, CLContext context, int buffer_length=2):
+    self._frame = new cppDrivingModelFrame(context.device_id, context.context, buffer_length)
     self.frame = <cppModelFrame*>(self._frame)
     self.buf_size = self._frame.buf_size
 

selfdrive/pandad/panda_safety.cc

@@ -81,3 +81,8 @@ void PandaSafety::setSafetyMode(const std::string &params_string) {
     pandas_[i]->set_safety_model(safety_model, safety_param);
   }
 }
+
+bool PandaSafety::getOffroadMode() {
+  auto offroad_mode = params_.getBool("OffroadMode");
+  return offroad_mode;
+}

selfdrive/pandad/pandad.cc

@@ -158,7 +158,6 @@ void fill_panda_state(cereal::PandaState::Builder &ps, cereal::PandaState::Panda
   ps.setIgnitionLine(health.ignition_line_pkt);
   ps.setIgnitionCan(health.ignition_can_pkt);
   ps.setControlsAllowed(health.controls_allowed_pkt);
-  ps.setControlsAllowedLat(health.controls_allowed_lat_pkt);
   ps.setTxBufferOverflow(health.tx_buffer_overflow_pkt);
   ps.setRxBufferOverflow(health.rx_buffer_overflow_pkt);
   ps.setPandaType(hw_type);
@@ -206,7 +205,7 @@ void fill_panda_can_state(cereal::PandaState::PandaCanState::Builder &cs, const
   cs.setCanCoreResetCnt(can_health.can_core_reset_cnt);
 }
 
-std::optional<bool> send_panda_states(PubMaster *pm, const std::vector<Panda *> &pandas, bool spoofing_started) {
+std::optional<bool> send_panda_states(PubMaster *pm, const std::vector<Panda *> &pandas, bool spoofing_started, PandaSafety *panda_safety) {
   bool ignition_local = false;
   const uint32_t pandas_cnt = pandas.size();
 
@@ -254,7 +253,7 @@ std::optional<bool> send_panda_states(PubMaster *pm, const std::vector<Panda *>
       health.ignition_line_pkt = 0;
     }
 
-    ignition_local |= ((health.ignition_line_pkt != 0) || (health.ignition_can_pkt != 0));
+    ignition_local |= ((health.ignition_line_pkt != 0) || (health.ignition_can_pkt != 0)) && !panda_safety->getOffroadMode();
 
     pandaStates.push_back(health);
   }
@@ -341,7 +340,7 @@ void send_peripheral_state(Panda *panda, PubMaster *pm) {
   pm->send("peripheralState", msg);
 }
 
-void process_panda_state(std::vector<Panda *> &pandas, PubMaster *pm, bool spoofing_started) {
+void process_panda_state(std::vector<Panda *> &pandas, PubMaster *pm, bool spoofing_started, PandaSafety *panda_safety) {
   static SubMaster sm({"selfdriveState", "selfdriveStateSP", "carParams"});
 
   std::vector<std::string> connected_serials;
@@ -350,7 +349,7 @@ void process_panda_state(std::vector<Panda *> &pandas, PubMaster *pm, bool spoof
   }
 
   {
-    auto ignition_opt = send_panda_states(pm, pandas, spoofing_started);
+    auto ignition_opt = send_panda_states(pm, pandas, spoofing_started, panda_safety);
     if (!ignition_opt) {
       LOGE("Failed to get ignition_opt");
       return;
@@ -462,7 +461,7 @@ void pandad_run(std::vector<Panda *> &pandas) {
 
     // Process panda state at 10 Hz
     if (rk.frame() % 10 == 0) {
-      process_panda_state(pandas, &pm, spoofing_started);
+      process_panda_state(pandas, &pm, spoofing_started, &panda_safety);
       panda_safety.configureSafetyMode();
     }
 

selfdrive/pandad/pandad.h

@@ -12,6 +12,7 @@ class PandaSafety {
 public:
   PandaSafety(const std::vector<Panda *> &pandas) : pandas_(pandas) {}
   void configureSafetyMode();
+  bool getOffroadMode();
 
 private:
   void updateMultiplexingMode();

selfdrive/selfdrived/alertmanager.py

@@ -6,7 +6,8 @@ from dataclasses import dataclass
 
 from openpilot.common.basedir import BASEDIR
 from openpilot.common.params import Params
-from openpilot.selfdrive.selfdrived.events import Alert, EmptyAlert
+from openpilot.selfdrive.selfdrived.events import Alert
+from openpilot.sunnypilot.selfdrive.selfdrived.events_base import EmptyAlert
 
 
 with open(os.path.join(BASEDIR, "selfdrive/selfdrived/alerts_offroad.json")) as f:

selfdrive/selfdrived/alerts_offroad.json

@@ -44,5 +44,9 @@
   "Offroad_Recalibration": {
     "text": "openpilot detected a change in the device's mounting position. Ensure the device is fully seated in the mount and the mount is firmly secured to the windshield.",
     "severity": 0
+  },
+  "OffroadMode_Status": {
+    "text": "sunnypilot is now in Always Offroad mode. sunnypilot won't start until Always Offroad mode is disabled. Go to \"Settings\" -> \"Device\" to exit Always Offroad mode.",
+    "severity": 1
   }
 }

selfdrive/selfdrived/events.py

@@ -1,9 +1,6 @@
 #!/usr/bin/env python3
-import bisect
 import math
 import os
-from enum import IntEnum
-from collections.abc import Callable
 
 from cereal import log, car
 import cereal.messaging as messaging
@@ -12,6 +9,11 @@ from openpilot.common.git import get_short_branch
 from openpilot.common.realtime import DT_CTRL
 from openpilot.selfdrive.locationd.calibrationd import MIN_SPEED_FILTER
 
+from openpilot.sunnypilot.selfdrive.selfdrived.events_base import EventsBase, Priority, ET, Alert, \
+  NoEntryAlert, SoftDisableAlert, UserSoftDisableAlert, ImmediateDisableAlert, EngagementAlert, NormalPermanentAlert, \
+  StartupAlert, AlertCallbackType
+
+
 AlertSize = log.SelfdriveState.AlertSize
 AlertStatus = log.SelfdriveState.AlertStatus
 VisualAlert = car.CarControl.HUDControl.VisualAlert
@@ -19,201 +21,23 @@ AudibleAlert = car.CarControl.HUDControl.AudibleAlert
 EventName = log.OnroadEvent.EventName
 
 
-# Alert priorities
-class Priority(IntEnum):
-  LOWEST = 0
-  LOWER = 1
-  LOW = 2
-  MID = 3
-  HIGH = 4
-  HIGHEST = 5
-
-
-# Event types
-class ET:
-  ENABLE = 'enable'
-  PRE_ENABLE = 'preEnable'
-  OVERRIDE_LATERAL = 'overrideLateral'
-  OVERRIDE_LONGITUDINAL = 'overrideLongitudinal'
-  NO_ENTRY = 'noEntry'
-  WARNING = 'warning'
-  USER_DISABLE = 'userDisable'
-  SOFT_DISABLE = 'softDisable'
-  IMMEDIATE_DISABLE = 'immediateDisable'
-  PERMANENT = 'permanent'
-
-
 # get event name from enum
 EVENT_NAME = {v: k for k, v in EventName.schema.enumerants.items()}
 
 
-class Events:
+class Events(EventsBase):
   def __init__(self):
-    self.events: list[int] = []
-    self.static_events: list[int] = []
+    super().__init__()
     self.event_counters = dict.fromkeys(EVENTS.keys(), 0)
 
-  @property
-  def names(self) -> list[int]:
-    return self.events
+  def get_events_mapping(self) -> dict[int, dict[str, Alert | AlertCallbackType]]:
+    return EVENTS
 
-  def __len__(self) -> int:
-    return len(self.events)
+  def get_event_name(self, event: int):
+    return EVENT_NAME[event]
 
-  def add(self, event_name: int, static: bool=False) -> None:
-    if static:
-      bisect.insort(self.static_events, event_name)
-    bisect.insort(self.events, event_name)
-
-  def clear(self) -> None:
-    self.event_counters = {k: (v + 1 if k in self.events else 0) for k, v in self.event_counters.items()}
-    self.events = self.static_events.copy()
-
-  def contains(self, event_type: str) -> bool:
-    return any(event_type in EVENTS.get(e, {}) for e in self.events)
-
-  def create_alerts(self, event_types: list[str], callback_args=None):
-    if callback_args is None:
-      callback_args = []
-
-    ret = []
-    for e in self.events:
-      types = EVENTS[e].keys()
-      for et in event_types:
-        if et in types:
-          alert = EVENTS[e][et]
-          if not isinstance(alert, Alert):
-            alert = alert(*callback_args)
-
-          if DT_CTRL * (self.event_counters[e] + 1) >= alert.creation_delay:
-            alert.alert_type = f"{EVENT_NAME[e]}/{et}"
-            alert.event_type = et
-            ret.append(alert)
-    return ret
-
-  def add_from_msg(self, events):
-    for e in events:
-      bisect.insort(self.events, e.name.raw)
-
-  def to_msg(self):
-    ret = []
-    for event_name in self.events:
-      event = log.OnroadEvent.new_message()
-      event.name = event_name
-      for event_type in EVENTS.get(event_name, {}):
-        setattr(event, event_type, True)
-      ret.append(event)
-    return ret
-
-  def has(self, event_name: int) -> bool:
-    return event_name in self.events
-
-  def contains_in_list(self, events_list: list[int]) -> bool:
-    return any(event_name in self.events for event_name in events_list)
-
-  def remove(self, event_name: int, static: bool = False) -> None:
-    if static and event_name in self.static_events:
-      self.static_events.remove(event_name)
-
-    if event_name in self.events:
-      self.event_counters[event_name] = self.event_counters[event_name] + 1
-      self.events.remove(event_name)
-
-  def replace(self, prev_event_name: int, cur_event_name: int, static: bool = False) -> None:
-    self.remove(prev_event_name, static)
-    self.add(cur_event_name, static)
-
-
-class Alert:
-  def __init__(self,
-               alert_text_1: str,
-               alert_text_2: str,
-               alert_status: log.SelfdriveState.AlertStatus,
-               alert_size: log.SelfdriveState.AlertSize,
-               priority: Priority,
-               visual_alert: car.CarControl.HUDControl.VisualAlert,
-               audible_alert: car.CarControl.HUDControl.AudibleAlert,
-               duration: float,
-               creation_delay: float = 0.):
-
-    self.alert_text_1 = alert_text_1
-    self.alert_text_2 = alert_text_2
-    self.alert_status = alert_status
-    self.alert_size = alert_size
-    self.priority = priority
-    self.visual_alert = visual_alert
-    self.audible_alert = audible_alert
-
-    self.duration = int(duration / DT_CTRL)
-
-    self.creation_delay = creation_delay
-
-    self.alert_type = ""
-    self.event_type: str | None = None
-
-  def __str__(self) -> str:
-    return f"{self.alert_text_1}/{self.alert_text_2} {self.priority} {self.visual_alert} {self.audible_alert}"
-
-  def __gt__(self, alert2) -> bool:
-    if not isinstance(alert2, Alert):
-      return False
-    return self.priority > alert2.priority
-
-EmptyAlert = Alert("" , "", AlertStatus.normal, AlertSize.none, Priority.LOWEST,
-                   VisualAlert.none, AudibleAlert.none, 0)
-
-class NoEntryAlert(Alert):
-  def __init__(self, alert_text_2: str,
-               alert_text_1: str = "openpilot Unavailable",
-               visual_alert: car.CarControl.HUDControl.VisualAlert=VisualAlert.none):
-    super().__init__(alert_text_1, alert_text_2, AlertStatus.normal,
-                     AlertSize.mid, Priority.LOW, visual_alert,
-                     AudibleAlert.refuse, 3.)
-
-
-class SoftDisableAlert(Alert):
-  def __init__(self, alert_text_2: str):
-    super().__init__("TAKE CONTROL IMMEDIATELY", alert_text_2,
-                     AlertStatus.userPrompt, AlertSize.full,
-                     Priority.MID, VisualAlert.steerRequired,
-                     AudibleAlert.warningSoft, 2.),
-
-
-# less harsh version of SoftDisable, where the condition is user-triggered
-class UserSoftDisableAlert(SoftDisableAlert):
-  def __init__(self, alert_text_2: str):
-    super().__init__(alert_text_2),
-    self.alert_text_1 = "openpilot will disengage"
-
-
-class ImmediateDisableAlert(Alert):
-  def __init__(self, alert_text_2: str):
-    super().__init__("TAKE CONTROL IMMEDIATELY", alert_text_2,
-                     AlertStatus.critical, AlertSize.full,
-                     Priority.HIGHEST, VisualAlert.steerRequired,
-                     AudibleAlert.warningImmediate, 4.),
-
-
-class EngagementAlert(Alert):
-  def __init__(self, audible_alert: car.CarControl.HUDControl.AudibleAlert):
-    super().__init__("", "",
-                     AlertStatus.normal, AlertSize.none,
-                     Priority.MID, VisualAlert.none,
-                     audible_alert, .2),
-
-
-class NormalPermanentAlert(Alert):
-  def __init__(self, alert_text_1: str, alert_text_2: str = "", duration: float = 0.2, priority: Priority = Priority.LOWER, creation_delay: float = 0.):
-    super().__init__(alert_text_1, alert_text_2,
-                     AlertStatus.normal, AlertSize.mid if len(alert_text_2) else AlertSize.small,
-                     priority, VisualAlert.none, AudibleAlert.none, duration, creation_delay=creation_delay),
-
-
-class StartupAlert(Alert):
-  def __init__(self, alert_text_1: str, alert_text_2: str = "Always keep hands on wheel and eyes on road", alert_status=AlertStatus.normal):
-    super().__init__(alert_text_1, alert_text_2,
-                     alert_status, AlertSize.mid,
-                     Priority.LOWER, VisualAlert.none, AudibleAlert.none, 5.),
+  def get_event_msg_type(self):
+    return log.OnroadEvent
 
 
 # ********** helper functions **********
@@ -225,8 +49,6 @@ def get_display_speed(speed_ms: float, metric: bool) -> str:
 
 # ********** alert callback functions **********
 
-AlertCallbackType = Callable[[car.CarParams, car.CarState, messaging.SubMaster, bool, int, log.ControlsState], Alert]
-
 
 def soft_disable_alert(alert_text_2: str) -> AlertCallbackType:
   def func(CP: car.CarParams, CS: car.CarState, sm: messaging.SubMaster, metric: bool, soft_disable_time: int, personality) -> Alert:
@@ -652,8 +474,11 @@ EVENTS: dict[int, dict[str, Alert | AlertCallbackType]] = {
   },
 
   EventName.brakeHold: {
-    ET.USER_DISABLE: EngagementAlert(AudibleAlert.disengage),
-    ET.NO_ENTRY: NoEntryAlert("Brake Hold Active"),
+    ET.WARNING: Alert(
+      "Press Resume to Exit Brake Hold",
+      "",
+      AlertStatus.userPrompt, AlertSize.small,
+      Priority.LOW, VisualAlert.none, AudibleAlert.none, .2),
   },
 
   EventName.parkBrake: {
@@ -969,106 +794,6 @@ EVENTS: dict[int, dict[str, Alert | AlertCallbackType]] = {
     ET.WARNING: personality_changed_alert,
   },
 
-  # sunnypilot
-  EventName.lkasEnable: {
-    ET.ENABLE: EngagementAlert(AudibleAlert.engage),
-  },
-
-  EventName.lkasDisable: {
-    ET.USER_DISABLE: EngagementAlert(AudibleAlert.disengage),
-  },
-
-  EventName.manualSteeringRequired: {
-    ET.USER_DISABLE: Alert(
-      "Automatic Lane Centering is OFF",
-      "Manual Steering Required",
-      AlertStatus.normal, AlertSize.mid,
-      Priority.LOW, VisualAlert.none, AudibleAlert.disengage, 1.),
-  },
-
-  EventName.manualLongitudinalRequired: {
-    ET.WARNING: Alert(
-      "Smart/Adaptive Cruise Control: OFF",
-      "Manual Speed Control Required",
-      AlertStatus.normal, AlertSize.mid,
-      Priority.LOW, VisualAlert.none, AudibleAlert.none, 1.),
-  },
-
-  EventName.silentLkasEnable: {
-    ET.ENABLE: EngagementAlert(AudibleAlert.none),
-  },
-
-  EventName.silentLkasDisable: {
-    ET.USER_DISABLE: EngagementAlert(AudibleAlert.none),
-  },
-
-  EventName.silentBrakeHold: {
-    ET.USER_DISABLE: EngagementAlert(AudibleAlert.none),
-    ET.NO_ENTRY: NoEntryAlert("Brake Hold Active"),
-  },
-
-  EventName.silentWrongGear: {
-    ET.WARNING: Alert(
-      "",
-      "",
-      AlertStatus.normal, AlertSize.none,
-      Priority.LOWEST, VisualAlert.none, AudibleAlert.none, 0.),
-    ET.NO_ENTRY: Alert(
-      "Gear not D",
-      "openpilot Unavailable",
-      AlertStatus.normal, AlertSize.mid,
-      Priority.LOW, VisualAlert.none, AudibleAlert.none, 0.),
-  },
-
-  EventName.silentReverseGear: {
-    ET.PERMANENT: Alert(
-      "Reverse\nGear",
-      "",
-      AlertStatus.normal, AlertSize.full,
-      Priority.LOWEST, VisualAlert.none, AudibleAlert.none, .2, creation_delay=0.5),
-    ET.NO_ENTRY: NoEntryAlert("Reverse Gear"),
-  },
-
-  EventName.silentDoorOpen: {
-    ET.WARNING: Alert(
-      "",
-      "",
-      AlertStatus.normal, AlertSize.none,
-      Priority.LOWEST, VisualAlert.none, AudibleAlert.none, 0.),
-    ET.NO_ENTRY: NoEntryAlert("Door Open"),
-  },
-
-  EventName.silentSeatbeltNotLatched: {
-    ET.WARNING: Alert(
-      "",
-      "",
-      AlertStatus.normal, AlertSize.none,
-      Priority.LOWEST, VisualAlert.none, AudibleAlert.none, 0.),
-    ET.NO_ENTRY: NoEntryAlert("Seatbelt Unlatched"),
-  },
-
-  EventName.silentParkBrake: {
-    ET.WARNING: Alert(
-      "",
-      "",
-      AlertStatus.normal, AlertSize.none,
-      Priority.LOWEST, VisualAlert.none, AudibleAlert.none, 0.),
-    ET.NO_ENTRY: NoEntryAlert("Parking Brake Engaged"),
-  },
-
-  EventName.controlsMismatchLateral: {
-    ET.IMMEDIATE_DISABLE: ImmediateDisableAlert("Controls Mismatch: Lateral"),
-    ET.NO_ENTRY: NoEntryAlert("Controls Mismatch: Lateral"),
-  },
-
-  EventName.hyundaiRadarTracksConfirmed: {
-    ET.PERMANENT: NormalPermanentAlert("Radar tracks available. Restart the car to initialize")
-  },
-
-  EventName.experimentalModeSwitched: {
-    ET.WARNING: NormalPermanentAlert("Experimental Mode Switched", duration=1.5)
-  }
-
 }
 
 

selfdrive/selfdrived/selfdrived.py

@@ -5,7 +5,7 @@ import threading
 
 import cereal.messaging as messaging
 
-from cereal import car, log
+from cereal import car, log, custom
 from msgq.visionipc import VisionIpcClient, VisionStreamType
 from panda import ALTERNATIVE_EXPERIENCE
 
@@ -25,7 +25,8 @@ from openpilot.system.version import get_build_metadata
 
 from openpilot.sunnypilot.mads.mads import ModularAssistiveDrivingSystem
 from openpilot.sunnypilot.selfdrive.car.car_specific import CarSpecificEventsSP
-from openpilot.sunnypilot.selfdrive.car.experimental_switcher import ExperimentalSwitcher
+from openpilot.sunnypilot.selfdrive.car.cruise_helpers import CruiseHelper
+from openpilot.sunnypilot.selfdrive.selfdrived.events import EventsSP
 
 REPLAY = "REPLAY" in os.environ
 SIMULATION = "SIMULATION" in os.environ
@@ -45,8 +46,8 @@ SafetyModel = car.CarParams.SafetyModel
 IGNORED_SAFETY_MODES = (SafetyModel.silent, SafetyModel.noOutput)
 
 
-class SelfdriveD(ExperimentalSwitcher):
-  def __init__(self, CP=None):
+class SelfdriveD(CruiseHelper):
+  def __init__(self, CP=None, CP_SP=None):
     self.params = Params()
 
     # Ensure the current branch is cached, otherwise the first cycle lags
@@ -59,6 +60,13 @@ class SelfdriveD(ExperimentalSwitcher):
     else:
       self.CP = CP
 
+    if CP_SP is None:
+      cloudlog.info("selfdrived is waiting for CarParamsSP")
+      self.CP_SP = messaging.log_from_bytes(self.params.get("CarParamsSP", block=True), custom.CarParamsSP)
+      cloudlog.info("selfdrived got CarParamsSP")
+    else:
+      self.CP_SP = CP_SP
+
     self.car_events = CarSpecificEvents(self.CP)
     self.disengage_on_accelerator = not (self.CP.alternativeExperience & ALTERNATIVE_EXPERIENCE.DISABLE_DISENGAGE_ON_GAS)
 
@@ -135,18 +143,22 @@ class SelfdriveD(ExperimentalSwitcher):
     elif self.CP.passive:
       self.events.add(EventName.dashcamMode, static=True)
 
+    self.events_sp = EventsSP()
+    self.events_sp_prev = []
+
     self.mads = ModularAssistiveDrivingSystem(self)
-    sock_services = list(self.pm.sock.keys()) + ['selfdriveStateSP']
+    sock_services = list(self.pm.sock.keys()) + ['selfdriveStateSP', 'onroadEventsSP']
     self.pm = messaging.PubMaster(sock_services)
 
     self.car_events_sp = CarSpecificEventsSP(self.CP, self.params)
 
-    ExperimentalSwitcher.__init__(self, self.params)
+    CruiseHelper.__init__(self, self.CP)
 
   def update_events(self, CS):
     """Compute onroadEvents from carState"""
 
     self.events.clear()
+    self.events_sp.clear()
 
     if self.sm['controlsState'].lateralControlState.which() == 'debugState':
       self.events.add(EventName.joystickDebug)
@@ -184,7 +196,7 @@ class SelfdriveD(ExperimentalSwitcher):
       self.events.add_from_msg(car_events)
 
       car_events_sp = self.car_events_sp.update().to_msg()
-      self.events.add_from_msg(car_events_sp)
+      self.events_sp.add_from_msg(car_events_sp)
 
       if self.CP.notCar:
         # wait for everything to init first
@@ -370,9 +382,7 @@ class SelfdriveD(ExperimentalSwitcher):
       if self.sm['modelV2'].frameDropPerc > 20:
         self.events.add(EventName.modeldLagging)
 
-    # toggle experimental mode once on distance button hold
-    if self.CP.openpilotLongitudinalControl:
-      ExperimentalSwitcher.update(self, CS, self.events, self.experimental_mode)
+    CruiseHelper.update(self, CS, self.events_sp, self.experimental_mode)
 
     # decrement personality on distance button press
     if self.CP.openpilotLongitudinalControl:
@@ -438,9 +448,13 @@ class SelfdriveD(ExperimentalSwitcher):
       clear_event_types.add(ET.NO_ENTRY)
 
     pers = LONGITUDINAL_PERSONALITY_MAP[self.personality]
-    alerts = self.events.create_alerts(self.state_machine.current_alert_types, [self.CP, CS, self.sm, self.is_metric,
-                                                                                self.state_machine.soft_disable_timer, pers])
-    self.AM.add_many(self.sm.frame, alerts)
+    callback_args = [self.CP, CS, self.sm, self.is_metric,
+                     self.state_machine.soft_disable_timer, pers]
+
+    alerts = self.events.create_alerts(self.state_machine.current_alert_types, callback_args)
+    alerts_sp = self.events_sp.create_alerts(self.state_machine.current_alert_types, callback_args)
+
+    self.AM.add_many(self.sm.frame, alerts + alerts_sp)
     self.AM.process_alerts(self.sm.frame, clear_event_types)
 
   def publish_selfdriveState(self, CS):
@@ -485,13 +499,21 @@ class SelfdriveD(ExperimentalSwitcher):
 
     self.pm.send('selfdriveStateSP', ss_sp_msg)
 
+    # onroadEventsSP - logged every second or on change
+    if (self.sm.frame % int(1. / DT_CTRL) == 0) or (self.events_sp.names != self.events_sp_prev):
+      ce_send_sp = messaging.new_message('onroadEventsSP', len(self.events_sp))
+      ce_send_sp.valid = True
+      ce_send_sp.onroadEventsSP = self.events_sp.to_msg()
+      self.pm.send('onroadEventsSP', ce_send_sp)
+    self.events_sp_prev = self.events_sp.names.copy()
+
   def step(self):
     CS = self.data_sample()
     self.update_events(CS)
     if not self.CP.passive and self.initialized:
       self.enabled, self.active = self.state_machine.update(self.events)
     if not self.CP.notCar:
-      self.mads.update(CS, self.sm)
+      self.mads.update(CS)
     self.update_alerts(CS)
 
     self.publish_selfdriveState(CS)

selfdrive/selfdrived/tests/test_alertmanager.py

@@ -1,8 +1,10 @@
 import random
 
-from openpilot.selfdrive.selfdrived.events import Alert, EmptyAlert, EVENTS
+from openpilot.selfdrive.selfdrived.events import Alert, EVENTS
 from openpilot.selfdrive.selfdrived.alertmanager import AlertManager
 
+from openpilot.sunnypilot.selfdrive.selfdrived.events_base import EmptyAlert
+
 
 class TestAlertManager:
 

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