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 }}

.github/workflows/selfdrive_tests.yaml

@@ -67,15 +67,7 @@ jobs:
       timeout-minutes: 1
       run: |
         cd $STRIPPED_DIR
-        ${{ env.RUN }} "release/check-dirty.sh && \
-                        MAX_EXAMPLES=5 $PYTEST -m 'not slow' selfdrive/car system/manager"
-    - name: Static analysis
-      timeout-minutes: 1
-      run: |
-        cd $GITHUB_WORKSPACE
-        cp pyproject.toml $STRIPPED_DIR
-        cd $STRIPPED_DIR
-        ${{ env.RUN }} "scripts/lint/lint.sh --skip check_added_large_files"
+        ${{ env.RUN }} "release/check-dirty.sh"
 
   build:
     runs-on:

.github/workflows/ui_preview.yaml

@@ -86,7 +86,7 @@ jobs:
         run: >-
           sudo apt-get install -y imagemagick
 
-          scenes="homescreen settings_device settings_software settings_sunnylink settings_toggles settings_sunnypilot settings_sunnypilot_mads settings_trips settings_developer offroad_alert update_available prime onroad onroad_disengaged onroad_override onroad_sidebar onroad_wide onroad_wide_sidebar onroad_alert_small onroad_alert_mid onroad_alert_full driver_camera body keyboard"
+          scenes="homescreen settings_device settings_software settings_sunnylink settings_toggles settings_sunnypilot settings_sunnypilot_mads settings_trips settings_developer offroad_alert update_available prime onroad onroad_disengaged onroad_override onroad_sidebar onroad_wide onroad_wide_sidebar onroad_alert_small onroad_alert_mid onroad_alert_full driver_camera body keyboard keyboard_uppercase"
           A=($scenes)
 
           DIFF=""

RELEASES.md

@@ -1,16 +1,23 @@
-Version 0.9.8 (2024-XX-XX)
+Version 0.9.9 (2025-03-30)
+========================
+* Coming soon
+  * Rivian support
+  * F-150 & Mach-E support
+  * Tesla Model 3 support
+
+Version 0.9.8 (2025-01-30)
 ========================
-* New driving model
-  * Trained in brand new ML simulator
-  * Model now gates applying positive accel in Chill mode
 * New driving monitoring model
   * Reduced false positives related to passengers
 * Image processing pipeline moved to the ISP
   * More GPU time for driving models
-  * Power draw reduced 0.5W, which means your device runs cooler 
+  * Power draw reduced 0.5W, which means your device runs cooler
 * Added toggle to enable driver monitoring even when openpilot is not engaged
 * Enable openpilot longitudinal control for Ford Q3 vehicles
 * New Toyota TSS2 longitudinal tune
+* Coming soon
+  * New driving model with gas gating
+  * Training data upload mode
 
 Version 0.9.7 (2024-06-13)
 ========================

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

@@ -125,80 +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;
 
     soundsUnavailableDEPRECATED @47;
   }
@@ -483,6 +409,7 @@ struct GpsLocationData {
   speedAccuracy @12 :Float32;
 
   hasFix @13 :Bool;
+  satelliteCount @14 :Int8;
 
   enum SensorSource {
     android @0;
@@ -663,7 +590,6 @@ struct PandaState @0xa7649e2575e4591e {
 
   # safety stuff
   controlsAllowed @3 :Bool;
-  controlsAllowedLat @5 :Bool;
   safetyRxInvalid @19 :UInt32;
   safetyTxBlocked @24 :UInt32;
   safetyModel @14 :Car.CarParams.SafetyModel;
@@ -771,6 +697,7 @@ struct PandaState @0xa7649e2575e4591e {
   }
 
   gasInterceptorDetectedDEPRECATED @4 :Bool;
+  startedSignalDetectedDEPRECATED @5 :Bool;
   hasGpsDEPRECATED @6 :Bool;
   gmlanSendErrsDEPRECATED @9 :UInt32;
   fanSpeedRpmDEPRECATED @11 :UInt16;
@@ -2627,21 +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/clutil.cc

@@ -79,6 +79,10 @@ cl_context cl_create_context(cl_device_id device_id) {
   return CL_CHECK_ERR(clCreateContext(NULL, 1, &device_id, NULL, NULL, &err));
 }
 
+void cl_release_context(cl_context context) {
+  clReleaseContext(context);
+}
+
 cl_program cl_program_from_file(cl_context ctx, cl_device_id device_id, const char* path, const char* args) {
   return cl_program_from_source(ctx, device_id, util::read_file(path), args);
 }

common/clutil.h

@@ -23,6 +23,7 @@
 
 cl_device_id cl_get_device_id(cl_device_type device_type);
 cl_context cl_create_context(cl_device_id device_id);
+void cl_release_context(cl_context context);
 cl_program cl_program_from_source(cl_context ctx, cl_device_id device_id, const std::string& src, const char* args = nullptr);
 cl_program cl_program_from_binary(cl_context ctx, cl_device_id device_id, const uint8_t* binary, size_t length, const char* args = nullptr);
 cl_program cl_program_from_file(cl_context ctx, cl_device_id device_id, const char* path, const char* args);

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/pid.py

@@ -1,9 +1,6 @@
 import numpy as np
 from numbers import Number
 
-from openpilot.common.numpy_fast import clip, interp
-
-
 class PIDController:
   def __init__(self, k_p, k_i, k_f=0., k_d=0., pos_limit=1e308, neg_limit=-1e308, rate=100):
     self._k_p = k_p
@@ -28,15 +25,15 @@ class PIDController:
 
   @property
   def k_p(self):
-    return interp(self.speed, self._k_p[0], self._k_p[1])
+    return np.interp(self.speed, self._k_p[0], self._k_p[1])
 
   @property
   def k_i(self):
-    return interp(self.speed, self._k_i[0], self._k_i[1])
+    return np.interp(self.speed, self._k_i[0], self._k_i[1])
 
   @property
   def k_d(self):
-    return interp(self.speed, self._k_d[0], self._k_d[1])
+    return np.interp(self.speed, self._k_d[0], self._k_d[1])
 
   @property
   def error_integral(self):
@@ -64,10 +61,10 @@ class PIDController:
 
         # Clip i to prevent exceeding control limits
         control_no_i = self.p + self.d + self.f
-        control_no_i = clip(control_no_i, self.neg_limit, self.pos_limit)
-        self.i = clip(self.i, self.neg_limit - control_no_i, self.pos_limit - control_no_i)
+        control_no_i = np.clip(control_no_i, self.neg_limit, self.pos_limit)
+        self.i = np.clip(self.i, self.neg_limit - control_no_i, self.pos_limit - control_no_i)
 
     control = self.p + self.i + self.d + self.f
 
-    self.control = clip(control, self.neg_limit, self.pos_limit)
+    self.control = np.clip(control, self.neg_limit, self.pos_limit)
     return self.control

common/swaglog.cc

@@ -26,6 +26,9 @@ public:
     zmq_setsockopt(sock, ZMQ_LINGER, &timeout, sizeof(timeout));
     zmq_connect(sock, Path::swaglog_ipc().c_str());
 
+    // workaround for https://github.com/dropbox/json11/issues/38
+    setlocale(LC_NUMERIC, "C");
+
     print_level = CLOUDLOG_WARNING;
     if (const char* print_lvl = getenv("LOGPRINT")) {
       if (strcmp(print_lvl, "debug") == 0) {

common/tests/test_numpy_fast.py

@@ -1,21 +0,0 @@
-import numpy as np
-
-from openpilot.common.numpy_fast import interp
-
-
-class TestInterp:
-  def test_correctness_controls(self):
-    _A_CRUISE_MIN_BP = np.asarray([0., 5., 10., 20., 40.])
-    _A_CRUISE_MIN_V = np.asarray([-1.0, -.8, -.67, -.5, -.30])
-    v_ego_arr = [-1, -1e-12, 0, 4, 5, 6, 7, 10, 11, 15.2, 20, 21, 39,
-                 39.999999, 40, 41]
-
-    expected = np.interp(v_ego_arr, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
-    actual = interp(v_ego_arr, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
-
-    np.testing.assert_equal(actual, expected)
-
-    for v_ego in v_ego_arr:
-      expected = np.interp(v_ego, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
-      actual = interp(v_ego, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
-      np.testing.assert_equal(actual, expected)

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));

docs/CARS.md

@@ -88,7 +88,7 @@ A supported vehicle is one that just works when you install a comma device. All
 |Hyundai|Elantra 2017-18|Smart Cruise Control (SCC)|Stock|19 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai B connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra 2017-18">Buy Here</a></sub></details>||
 |Hyundai|Elantra 2019|Smart Cruise Control (SCC)|Stock|19 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai G connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra 2019">Buy Here</a></sub></details>||
 |Hyundai|Elantra 2021-23|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai K connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra 2021-23">Buy Here</a></sub></details>|<a href="https://youtu.be/_EdYQtV52-c" target="_blank"><img height="18px" src="assets/icon-youtube.svg"></img></a>|
-|Hyundai|Elantra GT 2017-19|Smart Cruise Control (SCC)|Stock|0 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai E connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra GT 2017-19">Buy Here</a></sub></details>||
+|Hyundai|Elantra GT 2017-20|Smart Cruise Control (SCC)|Stock|0 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai E connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra GT 2017-20">Buy Here</a></sub></details>||
 |Hyundai|Elantra Hybrid 2021-23|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai K connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra Hybrid 2021-23">Buy Here</a></sub></details>|<a href="https://youtu.be/_EdYQtV52-c" target="_blank"><img height="18px" src="assets/icon-youtube.svg"></img></a>|
 |Hyundai|Genesis 2015-16|Smart Cruise Control (SCC)|Stock|19 mph|37 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai J connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Genesis 2015-16">Buy Here</a></sub></details>||
 |Hyundai|i30 2017-19|Smart Cruise Control (SCC)|Stock|0 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai E connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=i30 2017-19">Buy Here</a></sub></details>||

release/release_files.py

@@ -6,41 +6,11 @@ from pathlib import Path
 HERE = os.path.abspath(os.path.dirname(__file__))
 ROOT = HERE + "/.."
 
-# blacklisting is for two purposes:
-# - minimizing release download size
-# - keeping the diff readable
 blacklist = [
-  "panda/drivers/",
-  "panda/examples/",
-  "panda/tests/safety/",
-
-  "opendbc_repo/dbc/.*.dbc$",
-  "opendbc_repo/dbc/generator/",
-
-  "cereal/.*test.*",
-  "^common/tests/",
-
-  # particularly large text files
-  "uv.lock",
-  "third_party/catch2",
-  "selfdrive/car/tests/test_models.*",
-
-  "^tools/",
-  "^tinygrad_repo/",
+  ".git/",
 
   "matlab.*.md",
 
-  ".git/",
-  ".github/",
-  ".devcontainer/",
-  "Darwin/",
-  ".vscode",
-
-  # common things
-  "LICENSE",
-  "Dockerfile",
-  ".pre-commit",
-
   # no LFS or submodules in release
   ".lfsconfig",
   ".gitattributes",
@@ -48,153 +18,10 @@ blacklist = [
   ".gitmodules",
 ]
 
-# Sunnypilot blacklist
-sunnypilot_blacklist = [
-  "system/loggerd/sunnylink_uploader.py",  # Temporarily, until we are ready to roll it out widely
-  ".idea/",
-  ".run/",
-  ".*__pycache__/.*",
-  ".*\\.pyc",
-  "teleoprtc/*",
-  "third_party/snpe/x86_64/*",
-  "body/board/canloader.py",
-  "body/board/flash_base.sh",
-  "body/board/flash_knee.sh",
-  "body/board/recover.sh",
-  ".*/test/",
-  ".*/tests/",
-  ".*tinygrad_repo/tinygrad/renderer/",
-  "README.md",
-  ".*internal/",
-  "docs/.*",
-  ".sconsign.dblite",
-  "release/ci/scons_cache/",
-  ".gitlab-ci.yml",
-  ".clang-tidy",
-  ".dockerignore",
-  ".editorconfig",
-  ".python-version",
-  "SECURITY.md",
-  "codecov.yml",
-  "conftest.py",
-  "poetry.lock",
-  ".venv/",
-]
-
-# Merge the blacklists
-blacklist += sunnypilot_blacklist
-
 # gets you through the blacklist
-whitelist = [
-  "tools/lib/",
-  "tools/bodyteleop/",
-  "tools/joystick/",
-  "tools/longitudinal_maneuvers/",
-
-  "tinygrad_repo/examples/openpilot/compile3.py",
-  "tinygrad_repo/extra/onnx.py",
-  "tinygrad_repo/extra/onnx_ops.py",
-  "tinygrad_repo/extra/thneed.py",
-  "tinygrad_repo/extra/utils.py",
-  "tinygrad_repo/tinygrad/codegen/kernel.py",
-  "tinygrad_repo/tinygrad/codegen/linearizer.py",
-  "tinygrad_repo/tinygrad/features/image.py",
-  "tinygrad_repo/tinygrad/features/search.py",
-  "tinygrad_repo/tinygrad/nn/*",
-  "tinygrad_repo/tinygrad/renderer/cstyle.py",
-  "tinygrad_repo/tinygrad/renderer/opencl.py",
-  "tinygrad_repo/tinygrad/runtime/lib.py",
-  "tinygrad_repo/tinygrad/runtime/ops_cpu.py",
-  "tinygrad_repo/tinygrad/runtime/ops_disk.py",
-  "tinygrad_repo/tinygrad/runtime/ops_gpu.py",
-  "tinygrad_repo/tinygrad/shape/*",
-  "tinygrad_repo/tinygrad/.*.py",
-
-  # TODO: do this automatically
-  "opendbc_repo/dbc/comma_body.dbc",
-  "opendbc_repo/dbc/chrysler_ram_hd_generated.dbc",
-  "opendbc_repo/dbc/chrysler_ram_dt_generated.dbc",
-  "opendbc_repo/dbc/chrysler_pacifica_2017_hybrid_generated.dbc",
-  "opendbc_repo/dbc/chrysler_pacifica_2017_hybrid_private_fusion.dbc",
-  "opendbc_repo/dbc/gm_global_a_powertrain_generated.dbc",
-  "opendbc_repo/dbc/gm_global_a_object.dbc",
-  "opendbc_repo/dbc/gm_global_a_chassis.dbc",
-  "opendbc_repo/dbc/FORD_CADS.dbc",
-  "opendbc_repo/dbc/ford_fusion_2018_adas.dbc",
-  "opendbc_repo/dbc/ford_lincoln_base_pt.dbc",
-  "opendbc_repo/dbc/honda_accord_2018_can_generated.dbc",
-  "opendbc_repo/dbc/acura_ilx_2016_can_generated.dbc",
-  "opendbc_repo/dbc/acura_rdx_2018_can_generated.dbc",
-  "opendbc_repo/dbc/acura_rdx_2020_can_generated.dbc",
-  "opendbc_repo/dbc/honda_civic_touring_2016_can_generated.dbc",
-  "opendbc_repo/dbc/honda_civic_hatchback_ex_2017_can_generated.dbc",
-  "opendbc_repo/dbc/honda_crv_touring_2016_can_generated.dbc",
-  "opendbc_repo/dbc/honda_crv_ex_2017_can_generated.dbc",
-  "opendbc_repo/dbc/honda_crv_ex_2017_body_generated.dbc",
-  "opendbc_repo/dbc/honda_crv_executive_2016_can_generated.dbc",
-  "opendbc_repo/dbc/honda_fit_ex_2018_can_generated.dbc",
-  "opendbc_repo/dbc/honda_odyssey_exl_2018_generated.dbc",
-  "opendbc_repo/dbc/honda_odyssey_extreme_edition_2018_china_can_generated.dbc",
-  "opendbc_repo/dbc/honda_insight_ex_2019_can_generated.dbc",
-  "opendbc_repo/dbc/acura_ilx_2016_nidec.dbc",
-  "opendbc_repo/dbc/honda_civic_ex_2022_can_generated.dbc",
-  "opendbc_repo/dbc/hyundai_canfd.dbc",
-  "opendbc_repo/dbc/hyundai_kia_generic.dbc",
-  "opendbc_repo/dbc/hyundai_kia_mando_front_radar_generated.dbc",
-  "opendbc_repo/dbc/mazda_2017.dbc",
-  "opendbc_repo/dbc/nissan_x_trail_2017_generated.dbc",
-  "opendbc_repo/dbc/nissan_leaf_2018_generated.dbc",
-  "opendbc_repo/dbc/subaru_global_2017_generated.dbc",
-  "opendbc_repo/dbc/subaru_global_2020_hybrid_generated.dbc",
-  "opendbc_repo/dbc/subaru_outback_2015_generated.dbc",
-  "opendbc_repo/dbc/subaru_outback_2019_generated.dbc",
-  "opendbc_repo/dbc/subaru_forester_2017_generated.dbc",
-  "opendbc_repo/dbc/toyota_tnga_k_pt_generated.dbc",
-  "opendbc_repo/dbc/toyota_new_mc_pt_generated.dbc",
-  "opendbc_repo/dbc/toyota_nodsu_pt_generated.dbc",
-  "opendbc_repo/dbc/toyota_adas.dbc",
-  "opendbc_repo/dbc/toyota_tss2_adas.dbc",
-  "opendbc_repo/dbc/vw_golf_mk4.dbc",
-  "opendbc_repo/dbc/vw_mqb_2010.dbc",
-  "opendbc_repo/dbc/tesla_can.dbc",
-  "opendbc_repo/dbc/tesla_radar_bosch_generated.dbc",
-  "opendbc_repo/dbc/tesla_radar_continental_generated.dbc",
-  "opendbc_repo/dbc/tesla_powertrain.dbc",
+whitelist: list[str] = [
 ]
 
-# Sunnypilot whitelist
-sunnypilot_whitelist = [
-  "^README.md",
-  ".*selfdrive/test/fuzzy_generation.py",
-  ".*selfdrive/test/helpers.py",
-  ".*selfdrive/test/__init__.py",
-  ".*selfdrive/test/setup_device_ci.sh",
-  ".*selfdrive/test/test_time_to_onroad.py",
-  ".*selfdrive/test/test_onroad.py",
-  ".*system/manager/test/test_manager.py",
-  ".*system/manager/test/__init__.py",
-  ".*system/qcomgpsd/tests/test_qcomgpsd.py",
-  ".*system/updated/casync/tests/test_casync.py",
-  ".*system/updated/tests/test_git.py",
-  ".*system/updated/tests/test_base.py",
-  ".*selfdrive/ui/tests/test_translations.py",
-  ".*selfdrive/car/tests/__init__.py",
-  ".*selfdrive/car/tests/test_car_interfaces.py",
-  ".*selfdrive/navd/tests/test_navd.py",
-  ".*selfdrive/navd/tests/test_map_renderer.py",
-  ".*selfdrive/boardd/tests/test_boardd_loopback.py",
-  ".*INTEGRATION.md",
-  ".*HOW-TOS.md",
-  ".*CARS.md",
-  ".*LIMITATIONS.md",
-  ".*CONTRIBUTING.md",
-  ".*sunnyhaibin0850_qrcode_paypal.me.png",
-  "opendbc/.*.dbc",
-]
-
-# Merge the whitelists
-whitelist += sunnypilot_whitelist
-
 
 if __name__ == "__main__":
   for f in Path(ROOT).rglob("**/*"):

selfdrive/car/car_specific.py

@@ -122,7 +122,7 @@ class CarSpecificEvents:
 
     elif self.CP.carName == 'volkswagen':
       events = self.create_common_events(CS, CS_prev, extra_gears=[GearShifter.eco, GearShifter.sport, GearShifter.manumatic],
-                                         pcm_enable=not self.CP.openpilotLongitudinalControl,
+                                         pcm_enable=self.CP.pcmCruise,
                                          enable_buttons=(ButtonType.setCruise, ButtonType.resumeCruise))
 
       # Low speed steer alert hysteresis logic
@@ -149,7 +149,7 @@ class CarSpecificEvents:
       # Main button also can trigger an engagement on these cars
       self.cruise_buttons.append(any(ev.type in HYUNDAI_ENABLE_BUTTONS for ev in CS.buttonEvents))
       events = self.create_common_events(CS, CS_prev, extra_gears=(GearShifter.sport, GearShifter.manumatic),
-                                         pcm_enable=self.CP.pcmCruise, allow_enable=any(self.cruise_buttons))
+                                         pcm_enable=self.CP.pcmCruise, allow_enable=any(self.cruise_buttons), allow_button_cancel=False)
 
       # low speed steer alert hysteresis logic (only for cars with steer cut off above 10 m/s)
       if CS.vEgo < (self.CP.minSteerSpeed + 2.) and self.CP.minSteerSpeed > 10.:
@@ -165,7 +165,7 @@ class CarSpecificEvents:
     return events
 
   def create_common_events(self, CS: structs.CarState, CS_prev: car.CarState, extra_gears=None, pcm_enable=True,
-                           allow_enable=True, enable_buttons=(ButtonType.accelCruise, ButtonType.decelCruise)):
+                           allow_enable=True, allow_button_cancel=True, enable_buttons=(ButtonType.accelCruise, ButtonType.decelCruise)):
     events = Events()
 
     if CS.doorOpen:
@@ -216,7 +216,8 @@ class CarSpecificEvents:
       if not self.CP.pcmCruise and (b.type in enable_buttons and not b.pressed):
         events.add(EventName.buttonEnable)
       # Disable on rising and falling edge of cancel for both stock and OP long
-      if b.type == ButtonType.cancel:
+      # TODO: only check the cancel button with openpilot longitudinal on all brands to match panda safety
+      if b.type == ButtonType.cancel and (allow_button_cancel or not self.CP.pcmCruise):
         events.add(EventName.buttonCancel)
 
     # Handle permanent and temporary steering faults

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
 
@@ -66,15 +67,21 @@ 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()
+    self.CS_prev = car.CarState.new_message()
     self.initialized_prev = False
 
     self.last_actuators_output = structs.CarControl.Actuators()
@@ -101,14 +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
@@ -119,7 +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")
 
@@ -132,6 +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())
@@ -154,6 +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)
 
@@ -163,6 +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"""
 
@@ -188,8 +219,12 @@ class Car:
     if can_rcv_valid and REPLAY:
       self.can_log_mono_time = messaging.log_from_bytes(can_strs[0]).logMonoTime
 
-    # TODO: mirror the carState.cruiseState struct?
     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.dynamic_experimental_control)
+
+    # TODO: mirror the carState.cruiseState struct?
     CS.vCruise = float(self.v_cruise_helper.v_cruise_kph)
     CS.vCruiseCluster = float(self.v_cruise_helper.v_cruise_cluster_kph)
 
@@ -225,14 +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)
 
@@ -247,9 +289,6 @@ class Car:
   def step(self):
     CS, RD = self.state_update()
 
-    if self.sm['carControl'].enabled and not self.CC_prev.enabled:
-      self.v_cruise_helper.initialize_v_cruise(CS, self.experimental_mode)
-
     self.state_publish(CS, RD)
 
     initialized = (not any(e.name == EventName.selfdriveInitializing for e in self.sm['onroadEvents']) and
@@ -258,11 +297,16 @@ class Car:
       self.controls_update(CS, self.sm['carControl'])
 
     self.initialized_prev = initialized
+    self.CS_prev = CS
 
   def params_thread(self, evt):
     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

@@ -1,8 +1,8 @@
 import math
+import numpy as np
 
 from cereal import car
 from openpilot.common.conversions import Conversions as CV
-from openpilot.common.numpy_fast import clip
 
 
 # WARNING: this value was determined based on the model's training distribution,
@@ -106,7 +106,7 @@ class VCruiseHelper:
     if CS.gasPressed and button_type in (ButtonType.decelCruise, ButtonType.setCruise):
       self.v_cruise_kph = max(self.v_cruise_kph, CS.vEgo * CV.MS_TO_KPH)
 
-    self.v_cruise_kph = clip(round(self.v_cruise_kph, 1), V_CRUISE_MIN, V_CRUISE_MAX)
+    self.v_cruise_kph = np.clip(round(self.v_cruise_kph, 1), V_CRUISE_MIN, V_CRUISE_MAX)
 
   def update_button_timers(self, CS, enabled):
     # increment timer for buttons still pressed
@@ -120,16 +120,17 @@ 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
     else:
-      self.v_cruise_kph = int(round(clip(CS.vEgo * CV.MS_TO_KPH, initial, V_CRUISE_MAX)))
+      self.v_cruise_kph = int(round(np.clip(CS.vEgo * CV.MS_TO_KPH, initial, V_CRUISE_MAX)))
 
     self.v_cruise_cluster_kph = self.v_cruise_kph

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',
@@ -119,15 +123,16 @@ class Controls:
 
     # accel PID loop
     pid_accel_limits = self.CI.get_pid_accel_limits(self.CP, CS.vEgo, CS.vCruise * CV.KPH_TO_MS)
-    actuators.accel = self.LoC.update(CC.longActive, CS, long_plan.aTarget, long_plan.shouldStop, pid_accel_limits)
+    actuators.accel = float(self.LoC.update(CC.longActive, CS, long_plan.aTarget, long_plan.shouldStop, pid_accel_limits))
 
     # Steering PID loop and lateral MPC
     self.desired_curvature = clip_curvature(CS.vEgo, self.desired_curvature, model_v2.action.desiredCurvature)
-    actuators.curvature = self.desired_curvature
-    actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(CC.latActive, CS, self.VM, lp,
+    actuators.curvature = float(self.desired_curvature)
+    steer, steeringAngleDeg, lac_log = self.LaC.update(CC.latActive, CS, self.VM, lp,
                                                                             self.steer_limited, self.desired_curvature,
                                                                             self.calibrated_pose) # TODO what if not available
-
+    actuators.steer = float(steer)
+    actuators.steeringAngleDeg = float(steeringAngleDeg)
     # Ensure no NaNs/Infs
     for p in ACTUATOR_FIELDS:
       attr = getattr(actuators, p)
@@ -192,7 +197,7 @@ class Controls:
 
     cs.longitudinalPlanMonoTime = self.sm.logMonoTime['longitudinalPlan']
     cs.lateralPlanMonoTime = self.sm.logMonoTime['modelV2']
-    cs.desiredCurvature = self.desired_curvature
+    cs.desiredCurvature = float(self.desired_curvature)
     cs.longControlState = self.LoC.long_control_state
     cs.upAccelCmd = float(self.LoC.pid.p)
     cs.uiAccelCmd = float(self.LoC.pid.i)

selfdrive/controls/lib/drive_helpers.py

@@ -1,5 +1,5 @@
+import numpy as np
 from cereal import log
-from openpilot.common.numpy_fast import clip
 from openpilot.common.realtime import DT_CTRL
 
 MIN_SPEED = 1.0
@@ -13,10 +13,10 @@ MAX_LATERAL_JERK = 5.0
 MAX_VEL_ERR = 5.0
 
 def clip_curvature(v_ego, prev_curvature, new_curvature):
-  new_curvature = clip(new_curvature, -MAX_CURVATURE, MAX_CURVATURE)
+  new_curvature = np.clip(new_curvature, -MAX_CURVATURE, MAX_CURVATURE)
   v_ego = max(MIN_SPEED, v_ego)
   max_curvature_rate = MAX_LATERAL_JERK / (v_ego**2) # inexact calculation, check https://github.com/commaai/openpilot/pull/24755
-  safe_desired_curvature = clip(new_curvature,
+  safe_desired_curvature = np.clip(new_curvature,
                                 prev_curvature - max_curvature_rate * DT_CTRL,
                                 prev_curvature + max_curvature_rate * DT_CTRL)
 
@@ -26,6 +26,6 @@ def clip_curvature(v_ego, prev_curvature, new_curvature):
 def get_speed_error(modelV2: log.ModelDataV2, v_ego: float) -> float:
   # ToDo: Try relative error, and absolute speed
   if len(modelV2.temporalPose.trans):
-    vel_err = clip(modelV2.temporalPose.trans[0] - v_ego, -MAX_VEL_ERR, MAX_VEL_ERR)
+    vel_err = np.clip(modelV2.temporalPose.trans[0] - v_ego, -MAX_VEL_ERR, MAX_VEL_ERR)
     return float(vel_err)
   return 0.0

selfdrive/controls/lib/latcontrol.py

@@ -1,6 +1,6 @@
+import numpy as np
 from abc import abstractmethod, ABC
 
-from openpilot.common.numpy_fast import clip
 from openpilot.common.realtime import DT_CTRL
 
 MIN_LATERAL_CONTROL_SPEED = 0.3  # m/s
@@ -28,5 +28,5 @@ class LatControl(ABC):
       self.sat_count += self.sat_count_rate
     else:
       self.sat_count -= self.sat_count_rate
-    self.sat_count = clip(self.sat_count, 0.0, self.sat_limit)
+    self.sat_count = np.clip(self.sat_count, 0.0, self.sat_limit)
     return self.sat_count > (self.sat_limit - 1e-3)

selfdrive/controls/lib/latcontrol_angle.py

@@ -23,7 +23,7 @@ class LatControlAngle(LatControl):
       angle_steers_des += params.angleOffsetDeg
 
     angle_control_saturated = abs(angle_steers_des - CS.steeringAngleDeg) > STEER_ANGLE_SATURATION_THRESHOLD
-    angle_log.saturated = self._check_saturation(angle_control_saturated, CS, False)
+    angle_log.saturated = bool(self._check_saturation(angle_control_saturated, CS, False))
     angle_log.steeringAngleDeg = float(CS.steeringAngleDeg)
     angle_log.steeringAngleDesiredDeg = angle_steers_des
     return 0, float(angle_steers_des), angle_log

selfdrive/controls/lib/latcontrol_pid.py

@@ -39,10 +39,10 @@ class LatControlPID(LatControl):
       output_steer = self.pid.update(error, override=CS.steeringPressed,
                                      feedforward=steer_feedforward, speed=CS.vEgo)
       pid_log.active = True
-      pid_log.p = self.pid.p
-      pid_log.i = self.pid.i
-      pid_log.f = self.pid.f
-      pid_log.output = output_steer
-      pid_log.saturated = self._check_saturation(self.steer_max - abs(output_steer) < 1e-3, CS, steer_limited)
+      pid_log.p = float(self.pid.p)
+      pid_log.i = float(self.pid.i)
+      pid_log.f = float(self.pid.f)
+      pid_log.output = float(output_steer)
+      pid_log.saturated = bool(self._check_saturation(self.steer_max - abs(output_steer) < 1e-3, CS, steer_limited))
 
     return output_steer, angle_steers_des, pid_log

selfdrive/controls/lib/latcontrol_torque.py

@@ -1,8 +1,8 @@
 import math
+import numpy as np
 
 from cereal import log
 from opendbc.car.interfaces import LatControlInputs
-from openpilot.common.numpy_fast import interp
 from openpilot.selfdrive.controls.lib.latcontrol import LatControl
 from openpilot.common.pid import PIDController
 from openpilot.selfdrive.controls.lib.vehicle_model import ACCELERATION_DUE_TO_GRAVITY
@@ -51,7 +51,7 @@ class LatControlTorque(LatControl):
       else:
         assert calibrated_pose is not None
         actual_curvature_pose = calibrated_pose.angular_velocity.yaw / CS.vEgo
-        actual_curvature = interp(CS.vEgo, [2.0, 5.0], [actual_curvature_vm, actual_curvature_pose])
+        actual_curvature = np.interp(CS.vEgo, [2.0, 5.0], [actual_curvature_vm, actual_curvature_pose])
         curvature_deadzone = 0.0
       desired_lateral_accel = desired_curvature * CS.vEgo ** 2
 
@@ -60,7 +60,7 @@ class LatControlTorque(LatControl):
       actual_lateral_accel = actual_curvature * CS.vEgo ** 2
       lateral_accel_deadzone = curvature_deadzone * CS.vEgo ** 2
 
-      low_speed_factor = interp(CS.vEgo, LOW_SPEED_X, LOW_SPEED_Y)**2
+      low_speed_factor = np.interp(CS.vEgo, LOW_SPEED_X, LOW_SPEED_Y)**2
       setpoint = desired_lateral_accel + low_speed_factor * desired_curvature
       measurement = actual_lateral_accel + low_speed_factor * actual_curvature
       gravity_adjusted_lateral_accel = desired_lateral_accel - roll_compensation
@@ -68,7 +68,7 @@ class LatControlTorque(LatControl):
                                                             setpoint, lateral_accel_deadzone, friction_compensation=False, gravity_adjusted=False)
       torque_from_measurement = self.torque_from_lateral_accel(LatControlInputs(measurement, roll_compensation, CS.vEgo, CS.aEgo), self.torque_params,
                                                                measurement, lateral_accel_deadzone, friction_compensation=False, gravity_adjusted=False)
-      pid_log.error = torque_from_setpoint - torque_from_measurement
+      pid_log.error = float(torque_from_setpoint - torque_from_measurement)
       ff = self.torque_from_lateral_accel(LatControlInputs(gravity_adjusted_lateral_accel, roll_compensation, CS.vEgo, CS.aEgo), self.torque_params,
                                           desired_lateral_accel - actual_lateral_accel, lateral_accel_deadzone, friction_compensation=True,
                                           gravity_adjusted=True)
@@ -80,14 +80,14 @@ class LatControlTorque(LatControl):
                                       freeze_integrator=freeze_integrator)
 
       pid_log.active = True
-      pid_log.p = self.pid.p
-      pid_log.i = self.pid.i
-      pid_log.d = self.pid.d
-      pid_log.f = self.pid.f
-      pid_log.output = -output_torque
-      pid_log.actualLateralAccel = actual_lateral_accel
-      pid_log.desiredLateralAccel = desired_lateral_accel
-      pid_log.saturated = self._check_saturation(self.steer_max - abs(output_torque) < 1e-3, CS, steer_limited)
+      pid_log.p = float(self.pid.p)
+      pid_log.i = float(self.pid.i)
+      pid_log.d = float(self.pid.d)
+      pid_log.f = float(self.pid.f)
+      pid_log.output = float(-output_torque)
+      pid_log.actualLateralAccel = float(actual_lateral_accel)
+      pid_log.desiredLateralAccel = float(desired_lateral_accel)
+      pid_log.saturated = bool(self._check_saturation(self.steer_max - abs(output_torque) < 1e-3, CS, steer_limited))
 
     # TODO left is positive in this convention
     return -output_torque, 0.0, pid_log

selfdrive/controls/lib/longcontrol.py

@@ -1,5 +1,5 @@
+import numpy as np
 from cereal import car
-from openpilot.common.numpy_fast import clip
 from openpilot.common.realtime import DT_CTRL
 from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N
 from openpilot.common.pid import PIDController
@@ -84,5 +84,5 @@ class LongControl:
       output_accel = self.pid.update(error, speed=CS.vEgo,
                                      feedforward=a_target)
 
-    self.last_output_accel = clip(output_accel, accel_limits[0], accel_limits[1])
+    self.last_output_accel = np.clip(output_accel, accel_limits[0], accel_limits[1])
     return self.last_output_accel

selfdrive/controls/lib/longitudinal_mpc_lib/long_mpc.py

@@ -4,7 +4,6 @@ import time
 import numpy as np
 from cereal import log
 from opendbc.car.interfaces import ACCEL_MIN
-from openpilot.common.numpy_fast import clip
 from openpilot.common.realtime import DT_MDL
 from openpilot.common.swaglog import cloudlog
 # WARNING: imports outside of constants will not trigger a rebuild
@@ -320,9 +319,9 @@ class LongitudinalMpc:
     # MPC will not converge if immediate crash is expected
     # Clip lead distance to what is still possible to brake for
     min_x_lead = ((v_ego + v_lead)/2) * (v_ego - v_lead) / (-ACCEL_MIN * 2)
-    x_lead = clip(x_lead, min_x_lead, 1e8)
-    v_lead = clip(v_lead, 0.0, 1e8)
-    a_lead = clip(a_lead, -10., 5.)
+    x_lead = np.clip(x_lead, min_x_lead, 1e8)
+    v_lead = np.clip(v_lead, 0.0, 1e8)
+    a_lead = np.clip(a_lead, -10., 5.)
     lead_xv = self.extrapolate_lead(x_lead, v_lead, a_lead, a_lead_tau)
     return lead_xv
 

selfdrive/controls/lib/longitudinal_planner.py

@@ -1,7 +1,6 @@
 #!/usr/bin/env python3
 import math
 import numpy as np
-from openpilot.common.numpy_fast import clip, interp
 
 import cereal.messaging as messaging
 from opendbc.car.interfaces import ACCEL_MIN, ACCEL_MAX
@@ -16,6 +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]
@@ -30,7 +31,7 @@ _A_TOTAL_MAX_BP = [20., 40.]
 
 
 def get_max_accel(v_ego):
-  return interp(v_ego, A_CRUISE_MAX_BP, A_CRUISE_MAX_VALS)
+  return np.interp(v_ego, A_CRUISE_MAX_BP, A_CRUISE_MAX_VALS)
 
 def get_coast_accel(pitch):
   return np.sin(pitch) * -5.65 - 0.3  # fitted from data using xx/projects/allow_throttle/compute_coast_accel.py
@@ -43,7 +44,7 @@ def limit_accel_in_turns(v_ego, angle_steers, a_target, CP):
   """
   # FIXME: This function to calculate lateral accel is incorrect and should use the VehicleModel
   # The lookup table for turns should also be updated if we do this
-  a_total_max = interp(v_ego, _A_TOTAL_MAX_BP, _A_TOTAL_MAX_V)
+  a_total_max = np.interp(v_ego, _A_TOTAL_MAX_BP, _A_TOTAL_MAX_V)
   a_y = v_ego ** 2 * angle_steers * CV.DEG_TO_RAD / (CP.steerRatio * CP.wheelbase)
   a_x_allowed = math.sqrt(max(a_total_max ** 2 - a_y ** 2, 0.))
 
@@ -55,9 +56,9 @@ def get_accel_from_plan(speeds, accels, action_t=DT_MDL, vEgoStopping=0.05):
     v_now = speeds[0]
     a_now = accels[0]
 
-    v_target = interp(action_t, CONTROL_N_T_IDX, speeds)
+    v_target = np.interp(action_t, CONTROL_N_T_IDX, speeds)
     a_target = 2 * (v_target - v_now) / (action_t) - a_now
-    v_target_1sec = interp(action_t + 1.0, CONTROL_N_T_IDX, speeds)
+    v_target_1sec = np.interp(action_t + 1.0, CONTROL_N_T_IDX, speeds)
   else:
     v_target = 0.0
     v_target_1sec = 0.0
@@ -67,10 +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
@@ -105,7 +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])
@@ -139,7 +144,7 @@ class LongitudinalPlanner:
     if reset_state:
       self.v_desired_filter.x = v_ego
       # Clip aEgo to cruise limits to prevent large accelerations when becoming active
-      self.a_desired = clip(sm['carState'].aEgo, accel_limits[0], accel_limits[1])
+      self.a_desired = np.clip(sm['carState'].aEgo, accel_limits[0], accel_limits[1])
 
     # Prevent divergence, smooth in current v_ego
     self.v_desired_filter.x = max(0.0, self.v_desired_filter.update(v_ego))
@@ -151,7 +156,7 @@ class LongitudinalPlanner:
 
     if not self.allow_throttle:
       clipped_accel_coast = max(accel_coast, accel_limits_turns[0])
-      clipped_accel_coast_interp = interp(v_ego, [MIN_ALLOW_THROTTLE_SPEED, MIN_ALLOW_THROTTLE_SPEED*2], [accel_limits_turns[1], clipped_accel_coast])
+      clipped_accel_coast_interp = np.interp(v_ego, [MIN_ALLOW_THROTTLE_SPEED, MIN_ALLOW_THROTTLE_SPEED*2], [accel_limits_turns[1], clipped_accel_coast])
       accel_limits_turns[1] = min(accel_limits_turns[1], clipped_accel_coast_interp)
 
     if force_slow_decel:
@@ -176,7 +181,7 @@ class LongitudinalPlanner:
 
     # Interpolate 0.05 seconds and save as starting point for next iteration
     a_prev = self.a_desired
-    self.a_desired = float(interp(self.dt, CONTROL_N_T_IDX, self.a_desired_trajectory))
+    self.a_desired = float(np.interp(self.dt, CONTROL_N_T_IDX, self.a_desired_trajectory))
     self.v_desired_filter.x = self.v_desired_filter.x + self.dt * (self.a_desired + a_prev) / 2.0
 
   def publish(self, sm, pm):
@@ -200,9 +205,11 @@ class LongitudinalPlanner:
     action_t =  self.CP.longitudinalActuatorDelay + DT_MDL
     a_target, should_stop = get_accel_from_plan(longitudinalPlan.speeds, longitudinalPlan.accels,
                                                 action_t=action_t, vEgoStopping=self.CP.vEgoStopping)
-    longitudinalPlan.aTarget = a_target
-    longitudinalPlan.shouldStop = should_stop
+    longitudinalPlan.aTarget = float(a_target)
+    longitudinalPlan.shouldStop = bool(should_stop)
     longitudinalPlan.allowBrake = True
-    longitudinalPlan.allowThrottle = self.allow_throttle
+    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/controls/radard.py

@@ -1,11 +1,11 @@
 #!/usr/bin/env python3
 import math
+import numpy as np
 from collections import deque
 from typing import Any
 
 import capnp
 from cereal import messaging, log, car
-from openpilot.common.numpy_fast import interp
 from openpilot.common.params import Params
 from openpilot.common.realtime import DT_MDL, Priority, config_realtime_process
 from openpilot.common.swaglog import cloudlog
@@ -44,7 +44,7 @@ class KalmanParams:
           0.28144091, 0.27958406, 0.27783249, 0.27617149, 0.27458948, 0.27307714,
           0.27162685, 0.27023228, 0.26888809, 0.26758976, 0.26633338, 0.26511557,
           0.26393339, 0.26278425]
-    self.K = [[interp(dt, dts, K0)], [interp(dt, dts, K1)]]
+    self.K = [[np.interp(dt, dts, K0)], [np.interp(dt, dts, K1)]]
 
 
 class Track:

selfdrive/debug/clear_dtc.py

@@ -2,8 +2,8 @@
 import sys
 import argparse
 from subprocess import check_output, CalledProcessError
+from opendbc.car.uds import UdsClient, MessageTimeoutError, SESSION_TYPE, DTC_GROUP_TYPE
 from panda import Panda
-from panda.python.uds import UdsClient, MessageTimeoutError, SESSION_TYPE, DTC_GROUP_TYPE
 
 parser = argparse.ArgumentParser(description="clear DTC status")
 parser.add_argument("addr", type=lambda x: int(x,0), nargs="?", default=0x7DF) # default is functional (broadcast) address

selfdrive/debug/debug_fw_fingerprinting_offline.py

@@ -1,9 +1,9 @@
 #!/usr/bin/env python3
 import argparse
 
+from opendbc.car import uds
 from openpilot.tools.lib.live_logreader import live_logreader
 from openpilot.tools.lib.logreader import LogReader, ReadMode
-from panda.python import uds
 
 
 def main(route: str | None, addrs: list[int]):

selfdrive/debug/hyundai_enable_radar_points.py

@@ -16,8 +16,8 @@ import argparse
 from typing import NamedTuple
 from subprocess import check_output, CalledProcessError
 
+from opendbc.car.uds import UdsClient, SESSION_TYPE, DATA_IDENTIFIER_TYPE
 from panda.python import Panda
-from panda.python.uds import UdsClient, SESSION_TYPE, DATA_IDENTIFIER_TYPE
 
 class ConfigValues(NamedTuple):
   default_config: bytes

selfdrive/debug/live_cpu_and_temp.py

@@ -1,10 +1,10 @@
 #!/usr/bin/env python3
 import argparse
+import numpy as np
 import capnp
 from collections import defaultdict
 
 from cereal.messaging import SubMaster
-from openpilot.common.numpy_fast import mean
 
 def cputime_total(ct):
   return ct.user + ct.nice + ct.system + ct.idle + ct.iowait + ct.irq + ct.softirq
@@ -49,7 +49,7 @@ if __name__ == "__main__":
 
     if sm.updated['deviceState']:
       t = sm['deviceState']
-      last_temp = mean(t.cpuTempC)
+      last_temp = np.mean(t.cpuTempC)
       last_mem = t.memoryUsagePercent
 
     if sm.updated['procLog']:
@@ -72,7 +72,7 @@ if __name__ == "__main__":
       total_times = total_times_new[:]
       busy_times = busy_times_new[:]
 
-      print(f"CPU {100.0 * mean(cores):.2f}% - RAM: {last_mem:.2f}% - Temp {last_temp:.2f}C")
+      print(f"CPU {100.0 * np.mean(cores):.2f}% - RAM: {last_mem:.2f}% - Temp {last_temp:.2f}C")
 
       if args.cpu and prev_proclog is not None and prev_proclog_t is not None:
         procs: dict[str, float] = defaultdict(float)

selfdrive/debug/read_dtc_status.py

@@ -2,9 +2,8 @@
 import sys
 import argparse
 from subprocess import check_output, CalledProcessError
+from opendbc.car.uds import UdsClient, SESSION_TYPE, DTC_REPORT_TYPE, DTC_STATUS_MASK_TYPE, get_dtc_num_as_str, get_dtc_status_names
 from panda import Panda
-from panda.python.uds import UdsClient, SESSION_TYPE, DTC_REPORT_TYPE, DTC_STATUS_MASK_TYPE
-from panda.python.uds import get_dtc_num_as_str, get_dtc_status_names
 
 parser = argparse.ArgumentParser(description="read DTC status")
 parser.add_argument("addr", type=lambda x: int(x,0))

selfdrive/debug/vw_mqb_config.py

@@ -3,9 +3,9 @@
 import argparse
 import struct
 from enum import IntEnum
-from panda import Panda
-from panda.python.uds import UdsClient, MessageTimeoutError, NegativeResponseError, SESSION_TYPE,\
+from opendbc.car.uds import UdsClient, MessageTimeoutError, NegativeResponseError, SESSION_TYPE,\
   DATA_IDENTIFIER_TYPE, ACCESS_TYPE
+from panda import Panda
 from datetime import date
 
 # TODO: extend UDS library to allow custom/vendor-defined data identifiers without ignoring type checks

selfdrive/locationd/paramsd.py

@@ -8,7 +8,6 @@ import cereal.messaging as messaging
 from cereal import car, log
 from openpilot.common.params import Params
 from openpilot.common.realtime import config_realtime_process, DT_MDL
-from openpilot.common.numpy_fast import clip
 from openpilot.selfdrive.locationd.models.car_kf import CarKalman, ObservationKind, States
 from openpilot.selfdrive.locationd.models.constants import GENERATED_DIR
 from openpilot.selfdrive.locationd.helpers import PoseCalibrator, Pose
@@ -66,7 +65,7 @@ class ParamsLearner:
         # This is done to bound the road roll estimate when localizer values are invalid
         roll = 0.0
         roll_std = np.radians(10.0)
-      self.roll = clip(roll, self.roll - ROLL_MAX_DELTA, self.roll + ROLL_MAX_DELTA)
+      self.roll = np.clip(roll, self.roll - ROLL_MAX_DELTA, self.roll + ROLL_MAX_DELTA)
 
       yaw_rate_valid = msg.angularVelocityDevice.valid and self.calibrator.calib_valid
       yaw_rate_valid = yaw_rate_valid and 0 < self.yaw_rate_std < 10  # rad/s
@@ -203,11 +202,11 @@ def main():
         learner = ParamsLearner(CP, CP.steerRatio, 1.0, 0.0)
         x = learner.kf.x
 
-      angle_offset_average = clip(math.degrees(x[States.ANGLE_OFFSET].item()),
+      angle_offset_average = np.clip(math.degrees(x[States.ANGLE_OFFSET].item()),
                                   angle_offset_average - MAX_ANGLE_OFFSET_DELTA, angle_offset_average + MAX_ANGLE_OFFSET_DELTA)
-      angle_offset = clip(math.degrees(x[States.ANGLE_OFFSET].item() + x[States.ANGLE_OFFSET_FAST].item()),
+      angle_offset = np.clip(math.degrees(x[States.ANGLE_OFFSET].item() + x[States.ANGLE_OFFSET_FAST].item()),
                           angle_offset - MAX_ANGLE_OFFSET_DELTA, angle_offset + MAX_ANGLE_OFFSET_DELTA)
-      roll = clip(float(x[States.ROAD_ROLL].item()), roll - ROLL_MAX_DELTA, roll + ROLL_MAX_DELTA)
+      roll = np.clip(float(x[States.ROAD_ROLL].item()), roll - ROLL_MAX_DELTA, roll + ROLL_MAX_DELTA)
       roll_std = float(P[States.ROAD_ROLL].item())
       if learner.active and learner.speed > LOW_ACTIVE_SPEED:
         # Account for the opposite signs of the yaw rates
@@ -226,9 +225,9 @@ def main():
       liveParameters.sensorValid = sensors_valid
       liveParameters.steerRatio = float(x[States.STEER_RATIO].item())
       liveParameters.stiffnessFactor = float(x[States.STIFFNESS].item())
-      liveParameters.roll = roll
-      liveParameters.angleOffsetAverageDeg = angle_offset_average
-      liveParameters.angleOffsetDeg = angle_offset
+      liveParameters.roll = float(roll)
+      liveParameters.angleOffsetAverageDeg = float(angle_offset_average)
+      liveParameters.angleOffsetDeg = float(angle_offset)
       liveParameters.valid = all((
         avg_offset_valid,
         total_offset_valid,

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

@@ -10,6 +10,7 @@ cdef extern from "common/clutil.h":
   cdef unsigned long CL_DEVICE_TYPE_DEFAULT
   cl_device_id cl_get_device_id(unsigned long)
   cl_context cl_create_context(cl_device_id)
+  void cl_release_context(cl_context)
 
 cdef extern from "selfdrive/modeld/models/commonmodel.h":
   cppclass ModelFrame:
@@ -19,7 +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

@@ -4,11 +4,11 @@
 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
-from .commonmodel cimport CL_DEVICE_TYPE_DEFAULT, cl_get_device_id, cl_create_context
+from .commonmodel cimport CL_DEVICE_TYPE_DEFAULT, cl_get_device_id, cl_create_context, cl_release_context
 from .commonmodel cimport mat3, ModelFrame as cppModelFrame, DrivingModelFrame as cppDrivingModelFrame, MonitoringModelFrame as cppMonitoringModelFrame
 
 
@@ -17,6 +17,10 @@ cdef class CLContext(BaseCLContext):
     self.device_id = cl_get_device_id(CL_DEVICE_TYPE_DEFAULT)
     self.context = cl_create_context(self.device_id)
 
+  def __dealloc__(self):
+    if self.context:
+      cl_release_context(self.context)
+
 cdef class CLMem:
   @staticmethod
   cdef create(void * cmem):
@@ -55,8 +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/monitoring/helpers.py

@@ -1,9 +1,9 @@
 from math import atan2
+import numpy as np
 
 from cereal import car, log
 import cereal.messaging as messaging
 from openpilot.selfdrive.selfdrived.events import Events
-from openpilot.common.numpy_fast import interp
 from openpilot.common.realtime import DT_DMON
 from openpilot.common.filter_simple import FirstOrderFilter
 from openpilot.common.stat_live import RunningStatFilter
@@ -205,10 +205,10 @@ class DriverMonitoring:
     bp = model_data.meta.disengagePredictions.brakeDisengageProbs[0] # brake disengage prob in next 2s
     k1 = max(-0.00156*((car_speed-16)**2)+0.6, 0.2)
     bp_normal = max(min(bp / k1, 0.5),0)
-    self.pose.cfactor_pitch = interp(bp_normal, [0, 0.5],
+    self.pose.cfactor_pitch = np.interp(bp_normal, [0, 0.5],
                                            [self.settings._POSE_PITCH_THRESHOLD_SLACK,
                                             self.settings._POSE_PITCH_THRESHOLD_STRICT]) / self.settings._POSE_PITCH_THRESHOLD
-    self.pose.cfactor_yaw = interp(bp_normal, [0, 0.5],
+    self.pose.cfactor_yaw = np.interp(bp_normal, [0, 0.5],
                                            [self.settings._POSE_YAW_THRESHOLD_SLACK,
                                             self.settings._POSE_YAW_THRESHOLD_STRICT]) / self.settings._POSE_YAW_THRESHOLD
 

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: {
@@ -969,102 +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")
-  }
-
 }
 
 

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
 
@@ -25,6 +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.cruise_helpers import CruiseHelper
+from openpilot.sunnypilot.selfdrive.selfdrived.events import EventsSP
 
 REPLAY = "REPLAY" in os.environ
 SIMULATION = "SIMULATION" in os.environ
@@ -44,8 +46,8 @@ SafetyModel = car.CarParams.SafetyModel
 IGNORED_SAFETY_MODES = (SafetyModel.silent, SafetyModel.noOutput)
 
 
-class SelfdriveD:
-  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
@@ -58,6 +60,13 @@ class SelfdriveD:
     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)
 
@@ -134,16 +143,22 @@ class SelfdriveD:
     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)
 
+    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)
@@ -181,7 +196,7 @@ class SelfdriveD:
       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
@@ -367,12 +382,16 @@ class SelfdriveD:
       if self.sm['modelV2'].frameDropPerc > 20:
         self.events.add(EventName.modeldLagging)
 
+    CruiseHelper.update(self, CS, self.events_sp, self.experimental_mode)
+
     # decrement personality on distance button press
     if self.CP.openpilotLongitudinalControl:
       if any(not be.pressed and be.type == ButtonType.gapAdjustCruise for be in CS.buttonEvents):
-        self.personality = (self.personality - 1) % 3
-        self.params.put_nonblocking('LongitudinalPersonality', str(self.personality))
-        self.events.add(EventName.personalityChanged)
+        if not self.experimental_mode_switched:
+          self.personality = (self.personality - 1) % 3
+          self.params.put_nonblocking('LongitudinalPersonality', str(self.personality))
+          self.events.add(EventName.personalityChanged)
+        self.experimental_mode_switched = False
 
   def data_sample(self):
     car_state = messaging.recv_one(self.car_state_sock)
@@ -429,9 +448,13 @@ class SelfdriveD:
       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):
@@ -452,6 +475,7 @@ class SelfdriveD:
     ss.alertStatus = self.AM.current_alert.alert_status
     ss.alertType = self.AM.current_alert.alert_type
     ss.alertSound = self.AM.current_alert.audible_alert
+    ss.alertHudVisual = self.AM.current_alert.visual_alert
 
     self.pm.send('selfdriveState', ss_msg)
 
@@ -475,13 +499,21 @@ class SelfdriveD:
 
     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:
 

selfdrive/test/longitudinal_maneuvers/plant.py

@@ -121,7 +121,7 @@ class Plant:
     ss.selfdriveState.personality = self.personality
     control.controlsState.forceDecel = self.force_decel
     car_state.carState.vEgo = float(self.speed)
-    car_state.carState.standstill = self.speed < 0.01
+    car_state.carState.standstill = bool(self.speed < 0.01)
     car_state.carState.vCruise = float(v_cruise * 3.6)
     car_control.carControl.orientationNED = [0., float(pitch), 0.]
 

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